From 76f06b933f891e02936e80f473ac36f39db9be3c Mon Sep 17 00:00:00 2001
From: Thijs Heus <6053388+thijsheus@users.noreply.github.com>
Date: Thu, 16 May 2024 17:11:29 -0400
Subject: [PATCH 1/3] First iteration of analyze notebook

---
 tutorials/microhh/analyze_microhh.ipynb | 13357 ++++++++++++++++++++++
 1 file changed, 13357 insertions(+)
 create mode 100644 tutorials/microhh/analyze_microhh.ipynb

diff --git a/tutorials/microhh/analyze_microhh.ipynb b/tutorials/microhh/analyze_microhh.ipynb
new file mode 100644
index 0000000..3a557d5
--- /dev/null
+++ b/tutorials/microhh/analyze_microhh.ipynb
@@ -0,0 +1,13357 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Load the usual libraries\n",
+    "import matplotlib.pyplot as plt\n",
+    "import xarray as xr\n",
+    "import scipy as sp\n",
+    "import numpy as np\n",
+    "import netCDF4 as nc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# locate the folder where the data is stored\n",
+    "basedir = '/data/lasso/SGP/SGP_20160611/'\n",
+    "basename = 'SGP'\n",
+    "NC_arr = [10, 50, 80, 100, 200, 400, 800]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load a specific data set, and cycling through all groups to load all data\n",
+    "def load_data(fname):\n",
+    "    groups = [''] + list(nc.Dataset(fname).groups.keys())\n",
+    "    prof_dict = {}\n",
+    "    for group in groups:\n",
+    "        try:\n",
+    "            prof_dict[group] = xr.open_dataset(fname, group=group, decode_times=True)\n",
+    "            \n",
+    "        except KeyError:\n",
+    "            print(f'Group {group} not found in {fname}')\n",
+    "        except IOError:\n",
+    "            print(f'File {fname} not found')\n",
+    "        except:\n",
+    "            print('Unexpected error')\n",
+    "    prof = xr.merge(prof_dict.values())\n",
+    "    prof = prof.where(prof.apply(np.fabs)<1e10)\n",
+    "\n",
+    "    return prof\n",
+    "\n",
+    "# Cycle through all conditional samples and load the data; the conditional sample is added as a new dimension\n",
+    "def load_cond_data(dir, basename, cond_samps):\n",
+    "    prof_dict = {}\n",
+    "    for cond_samp in cond_samps:\n",
+    "        fname = dir + '/' + basename +'.' + cond_samp + '.0000000.nc'\n",
+    "        prof_dict[cond_samp] = load_data(fname).expand_dims(dim={'sample': [cond_samp]})\n",
+    "    prof = xr.merge(prof_dict.values())\n",
+    "    return prof\n",
+    "    \n",
+    "# Cycle through all different Number concentrations and load the data; the number concentration is added as a new dimension\n",
+    "def load_all_data(basedir, fname, NCs, cond_samps = ['default']):\n",
+    "    prof_array = {}\n",
+    "    for NC in NCs:\n",
+    "        NCstr = f'NC{NC:03}'\n",
+    "        print('Loading data for ' + NCstr)\n",
+    "        dir = basedir + '/' + NCstr + '/'\n",
+    "        prof_array[NCstr] = load_cond_data(dir, basename, cond_samps).expand_dims(dim={'NC': [NC]})\n",
+    "\n",
+    "    return xr.merge(prof_array.values())\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loading data for NC010\n",
+      "Loading data for NC050\n",
+      "Loading data for NC080\n",
+      "Loading data for NC100\n",
+      "Loading data for NC200\n",
+      "Loading data for NC400\n",
+      "Loading data for NC800\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Load the data for all number concentrations and conditional samples\n",
+    "cond_samps = ['default', 'ql', 'qlcore']\n",
+    "prof = load_all_data(basedir, basename, NC_arr, cond_samps)\n",
+    "\n",
+    "#Slice the data for our area of interest, and resample to 30 min intervals\n",
+    "prof = prof.sel(time=slice(\"2016-06-11T12\", \"2016-06-12T02\"),z=slice(0,4000), zh=slice(0,4000)).resample(time='0.5H').mean(dim='time')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:               (z: 107, zh: 108, zs: 4, zsh: 5, sample: 3, NC: 7,\n",
+       "                           time: 30, lev: 141)\n",
+       "Coordinates:\n",
+       "  * z                     (z) float32 10.0 21.0 33.0 ... 3.94e+03 3.98e+03\n",
+       "  * zh                    (zh) float32 0.0 15.5 27.0 ... 3.92e+03 3.96e+03 4e+03\n",
+       "  * zs                    (zs) float32 -1.89 -0.72 -0.21 -0.07\n",
+       "  * zsh                   (zsh) float32 -2.62 -1.16 -0.28 -0.14 0.0\n",
+       "  * sample                (sample) object &#x27;default&#x27; &#x27;ql&#x27; &#x27;qlcore&#x27;\n",
+       "  * NC                    (NC) int64 10 50 80 100 200 400 800\n",
+       "  * time                  (time) datetime64[ns] 2016-06-11T12:00:00 ... 2016-...\n",
+       "Dimensions without coordinates: lev\n",
+       "Data variables: (12/141)\n",
+       "    p_rad                 (time, NC, sample, lev) float32 9.645e+04 ... 3.53\n",
+       "    iter                  (time, NC, sample) float64 1.738e+05 ... 2.484e+05\n",
+       "    area                  (time, NC, sample, z) float32 1.0 1.0 1.0 ... 0.0 0.0\n",
+       "    areah                 (time, NC, sample, zh) float32 1.0 1.0 1.0 ... 0.0 0.0\n",
+       "    u                     (time, NC, sample, z) float32 -0.09499 ... nan\n",
+       "    u_3                   (time, NC, sample, z) float32 -0.001409 ... nan\n",
+       "    ...                    ...\n",
+       "    sw_flux_dn_ref        (time, NC, sample, lev) float32 132.0 135.4 ... 0.6207\n",
+       "    sw_flux_dn_dir_ref    (time, NC, sample, lev) float32 105.2 109.1 ... 0.6207\n",
+       "    lw_flux_up_ref        (time, NC, sample, lev) float32 476.5 465.4 ... 282.1\n",
+       "    lw_flux_dn_ref        (time, NC, sample, lev) float32 386.1 359.6 ... 0.0\n",
+       "    sza                   (time, NC, sample) float32 1.39 1.39 ... 1.743 1.743\n",
+       "    sw_flux_dn_toa        (time, NC, sample) float32 236.5 236.5 ... 0.6207</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ba8633bc-d7bf-4b4c-9334-59b8e2d785c3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ba8633bc-d7bf-4b4c-9334-59b8e2d785c3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>z</span>: 107</li><li><span class='xr-has-index'>zh</span>: 108</li><li><span class='xr-has-index'>zs</span>: 4</li><li><span class='xr-has-index'>zsh</span>: 5</li><li><span class='xr-has-index'>sample</span>: 3</li><li><span class='xr-has-index'>NC</span>: 7</li><li><span class='xr-has-index'>time</span>: 30</li><li><span>lev</span>: 141</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c09374f4-8554-4a1b-900e-3b9fc41a1ca8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c09374f4-8554-4a1b-900e-3b9fc41a1ca8' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>10.0 21.0 ... 3.94e+03 3.98e+03</div><input id='attrs-3d77dbeb-f920-4921-9951-b58fc2285f6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d77dbeb-f920-4921-9951-b58fc2285f6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3eb515ee-8fd2-4df4-8a1d-c70e802f161a' class='xr-var-data-in' type='checkbox'><label for='data-3eb515ee-8fd2-4df4-8a1d-c70e802f161a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Full level height</dd></dl></div><div class='xr-var-data'><pre>array([  10.,   21.,   33.,   46.,   60.,   75.,   92.,  111.,  132.,  155.,\n",
+       "        180.,  207.,  237.,  267.,  300.,  340.,  380.,  420.,  460.,  500.,\n",
+       "        540.,  580.,  620.,  660.,  700.,  740.,  780.,  820.,  860.,  900.,\n",
+       "        940.,  980., 1020., 1060., 1100., 1140., 1180., 1220., 1260., 1300.,\n",
+       "       1340., 1380., 1420., 1460., 1500., 1540., 1580., 1620., 1660., 1700.,\n",
+       "       1740., 1780., 1820., 1860., 1900., 1940., 1980., 2020., 2060., 2100.,\n",
+       "       2140., 2180., 2220., 2260., 2300., 2340., 2380., 2420., 2460., 2500.,\n",
+       "       2540., 2580., 2620., 2660., 2700., 2740., 2780., 2820., 2860., 2900.,\n",
+       "       2940., 2980., 3020., 3060., 3100., 3140., 3180., 3220., 3260., 3300.,\n",
+       "       3340., 3380., 3420., 3460., 3500., 3540., 3580., 3620., 3660., 3700.,\n",
+       "       3740., 3780., 3820., 3860., 3900., 3940., 3980.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>zh</span></div><div class='xr-var-dims'>(zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 15.5 27.0 ... 3.96e+03 4e+03</div><input id='attrs-b85a6dee-ddd4-446c-9e93-b176e4462fc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b85a6dee-ddd4-446c-9e93-b176e4462fc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9005fe9-28f1-45e2-bbd5-8d6e93a520a8' class='xr-var-data-in' type='checkbox'><label for='data-b9005fe9-28f1-45e2-bbd5-8d6e93a520a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Half level height</dd></dl></div><div class='xr-var-data'><pre>array([   0. ,   15.5,   27. ,   39.5,   53. ,   67.5,   83.5,  101.5,  121.5,\n",
+       "        143.5,  167.5,  193.5,  222. ,  252. ,  283.5,  320. ,  360. ,  400. ,\n",
+       "        440. ,  480. ,  520. ,  560. ,  600. ,  640. ,  680. ,  720. ,  760. ,\n",
+       "        800. ,  840. ,  880. ,  920. ,  960. , 1000. , 1040. , 1080. , 1120. ,\n",
+       "       1160. , 1200. , 1240. , 1280. , 1320. , 1360. , 1400. , 1440. , 1480. ,\n",
+       "       1520. , 1560. , 1600. , 1640. , 1680. , 1720. , 1760. , 1800. , 1840. ,\n",
+       "       1880. , 1920. , 1960. , 2000. , 2040. , 2080. , 2120. , 2160. , 2200. ,\n",
+       "       2240. , 2280. , 2320. , 2360. , 2400. , 2440. , 2480. , 2520. , 2560. ,\n",
+       "       2600. , 2640. , 2680. , 2720. , 2760. , 2800. , 2840. , 2880. , 2920. ,\n",
+       "       2960. , 3000. , 3040. , 3080. , 3120. , 3160. , 3200. , 3240. , 3280. ,\n",
+       "       3320. , 3360. , 3400. , 3440. , 3480. , 3520. , 3560. , 3600. , 3640. ,\n",
+       "       3680. , 3720. , 3760. , 3800. , 3840. , 3880. , 3920. , 3960. , 4000. ],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>zs</span></div><div class='xr-var-dims'>(zs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.89 -0.72 -0.21 -0.07</div><input id='attrs-c05b2e64-6907-4de0-98d4-d73526ecc5d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c05b2e64-6907-4de0-98d4-d73526ecc5d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96d8dc85-9219-4f1b-b542-f8f57cccbcc9' class='xr-var-data-in' type='checkbox'><label for='data-96d8dc85-9219-4f1b-b542-f8f57cccbcc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Full level height soil</dd></dl></div><div class='xr-var-data'><pre>array([-1.89, -0.72, -0.21, -0.07], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>zsh</span></div><div class='xr-var-dims'>(zsh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-2.62 -1.16 -0.28 -0.14 0.0</div><input id='attrs-2d40b007-412e-40c0-a008-c1f3c1a3f578' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d40b007-412e-40c0-a008-c1f3c1a3f578' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf1af5e1-e0e6-4cb0-9965-6c9c4ac51459' class='xr-var-data-in' type='checkbox'><label for='data-bf1af5e1-e0e6-4cb0-9965-6c9c4ac51459' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Half level height soil</dd></dl></div><div class='xr-var-data'><pre>array([-2.62, -1.16, -0.28, -0.14,  0.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sample</span></div><div class='xr-var-dims'>(sample)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;default&#x27; &#x27;ql&#x27; &#x27;qlcore&#x27;</div><input id='attrs-d46c287d-e1a8-444c-b943-a7c8e54bc3f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d46c287d-e1a8-444c-b943-a7c8e54bc3f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad1b2104-a33e-4af4-a62a-8a61e9d414d1' class='xr-var-data-in' type='checkbox'><label for='data-ad1b2104-a33e-4af4-a62a-8a61e9d414d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;default&#x27;, &#x27;ql&#x27;, &#x27;qlcore&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>NC</span></div><div class='xr-var-dims'>(NC)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>10 50 80 100 200 400 800</div><input id='attrs-5a9351e0-6ca2-4cf4-920d-50cf9634ea14' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a9351e0-6ca2-4cf4-920d-50cf9634ea14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-332c695e-b7c0-4d88-be4d-6302ac7b7a82' class='xr-var-data-in' type='checkbox'><label for='data-332c695e-b7c0-4d88-be4d-6302ac7b7a82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 10,  50,  80, 100, 200, 400, 800])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2016-06-11T12:00:00 ... 2016-06-...</div><input id='attrs-026f3b2d-68b7-4fb2-82ef-c93e1e33b259' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-026f3b2d-68b7-4fb2-82ef-c93e1e33b259' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ba2e82a-1e00-4aad-bc9a-8f0a2b905f5f' class='xr-var-data-in' type='checkbox'><label for='data-4ba2e82a-1e00-4aad-bc9a-8f0a2b905f5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2016-06-11T12:00:00.000000000&#x27;, &#x27;2016-06-11T12:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T13:00:00.000000000&#x27;, &#x27;2016-06-11T13:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T14:00:00.000000000&#x27;, &#x27;2016-06-11T14:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T15:00:00.000000000&#x27;, &#x27;2016-06-11T15:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T16:00:00.000000000&#x27;, &#x27;2016-06-11T16:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T17:00:00.000000000&#x27;, &#x27;2016-06-11T17:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T18:00:00.000000000&#x27;, &#x27;2016-06-11T18:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T19:00:00.000000000&#x27;, &#x27;2016-06-11T19:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T20:00:00.000000000&#x27;, &#x27;2016-06-11T20:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T21:00:00.000000000&#x27;, &#x27;2016-06-11T21:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T22:00:00.000000000&#x27;, &#x27;2016-06-11T22:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T23:00:00.000000000&#x27;, &#x27;2016-06-11T23:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-12T00:00:00.000000000&#x27;, &#x27;2016-06-12T00:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-12T01:00:00.000000000&#x27;, &#x27;2016-06-12T01:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-12T02:00:00.000000000&#x27;, &#x27;2016-06-12T02:30:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-46f566bd-6369-4a60-bdea-89f88926c9cc' class='xr-section-summary-in' type='checkbox'  ><label for='section-46f566bd-6369-4a60-bdea-89f88926c9cc' class='xr-section-summary' >Data variables: <span>(141)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>p_rad</span></div><div class='xr-var-dims'>(time, NC, sample, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.645e+04 9.188e+04 ... 3.871 3.53</div><input id='attrs-de2409b7-5c26-4ee8-b9ea-1346f065a03f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de2409b7-5c26-4ee8-b9ea-1346f065a03f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08d02619-42b3-43cf-8cbe-96e64eadb1df' class='xr-var-data-in' type='checkbox'><label for='data-08d02619-42b3-43cf-8cbe-96e64eadb1df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>long_name :</span></dt><dd>Pressure of radiation reference column</dd></dl></div><div class='xr-var-data'><pre>array([[[[9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00]],\n",
+       "\n",
+       "        [[9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00]],\n",
+       "\n",
+       "        [[9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00]],\n",
+       "...\n",
+       "        [[9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00]],\n",
+       "\n",
+       "        [[9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00]],\n",
+       "\n",
+       "        [[9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iter</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.738e+05 1.738e+05 ... 2.484e+05</div><input id='attrs-aeabc7ec-d7c8-4f79-a3f7-c7c232cde2c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aeabc7ec-d7c8-4f79-a3f7-c7c232cde2c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-346e3ae4-c127-4b95-95f2-c91f7a8d0a48' class='xr-var-data-in' type='checkbox'><label for='data-346e3ae4-c127-4b95-95f2-c91f7a8d0a48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Iteration number</dd></dl></div><div class='xr-var-data'><pre>array([[[173824.83333333, 173824.83333333, 173824.83333333],\n",
+       "        [173710.        , 173710.        , 173710.        ],\n",
+       "        [171538.        , 171538.        , 171538.        ],\n",
+       "        [171538.        , 171538.        , 171538.        ],\n",
+       "        [173173.5       , 173173.5       , 173173.5       ],\n",
+       "        [173498.16666667, 173498.16666667, 173498.16666667],\n",
+       "        [171815.16666667, 171815.16666667, 171815.16666667]],\n",
+       "\n",
+       "       [[176302.16666667, 176302.16666667, 176302.16666667],\n",
+       "        [176024.66666667, 176024.66666667, 176024.66666667],\n",
+       "        [173800.5       , 173800.5       , 173800.5       ],\n",
+       "        [173800.5       , 173800.5       , 173800.5       ],\n",
+       "        [175536.        , 175536.        , 175536.        ],\n",
+       "        [175847.66666667, 175847.66666667, 175847.66666667],\n",
+       "        [174150.        , 174150.        , 174150.        ]],\n",
+       "\n",
+       "       [[178840.33333333, 178840.33333333, 178840.33333333],\n",
+       "        [178431.16666667, 178431.16666667, 178431.16666667],\n",
+       "        [176048.66666667, 176048.66666667, 176048.66666667],\n",
+       "        [176048.66666667, 176048.66666667, 176048.66666667],\n",
+       "...\n",
+       "        [244279.66666667, 244279.66666667, 244279.66666667],\n",
+       "        [247222.5       , 247222.5       , 247222.5       ],\n",
+       "        [247072.5       , 247072.5       , 247072.5       ],\n",
+       "        [245470.83333333, 245470.83333333, 245470.83333333]],\n",
+       "\n",
+       "       [[249770.5       , 249770.5       , 249770.5       ],\n",
+       "        [249189.16666667, 249189.16666667, 249189.16666667],\n",
+       "        [245713.83333333, 245713.83333333, 245713.83333333],\n",
+       "        [245713.83333333, 245713.83333333, 245713.83333333],\n",
+       "        [248669.5       , 248669.5       , 248669.5       ],\n",
+       "        [248487.16666667, 248487.16666667, 248487.16666667],\n",
+       "        [246900.5       , 246900.5       , 246900.5       ]],\n",
+       "\n",
+       "       [[251346.16666667, 251346.16666667, 251346.16666667],\n",
+       "        [250717.33333333, 250717.33333333, 250717.33333333],\n",
+       "        [247236.16666667, 247236.16666667, 247236.16666667],\n",
+       "        [247236.16666667, 247236.16666667, 247236.16666667],\n",
+       "        [250206.66666667, 250206.66666667, 250206.66666667],\n",
+       "        [250015.33333333, 250015.33333333, 250015.33333333],\n",
+       "        [248411.16666667, 248411.16666667, 248411.16666667]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>area</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-cabce548-bc60-488a-a423-9b4a99a9f1d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cabce548-bc60-488a-a423-9b4a99a9f1d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b92e8a36-14bd-4f72-a72f-bd95a842207c' class='xr-var-data-in' type='checkbox'><label for='data-b92e8a36-14bd-4f72-a72f-bd95a842207c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Fractional area contained in mask</dd></dl></div><div class='xr-var-data'><pre>array([[[[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "...\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>areah</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-57ad7664-b7f2-4fc4-8497-9d1de7ebb50d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57ad7664-b7f2-4fc4-8497-9d1de7ebb50d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebdf5bb4-4d0f-423f-9865-8934f76f95c7' class='xr-var-data-in' type='checkbox'><label for='data-ebdf5bb4-4d0f-423f-9865-8934f76f95c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Fractional area contained in mask</dd></dl></div><div class='xr-var-data'><pre>array([[[[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "...\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]],\n",
+       "\n",
+       "        [[1., 1., 1., ..., 1., 1., 1.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.],\n",
+       "         [0., 0., 0., ..., 0., 0., 0.]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.09499 -0.09687 ... nan nan</div><input id='attrs-2ca617ab-60c9-499e-baab-a6422121e430' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ca617ab-60c9-499e-baab-a6422121e430' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63c4dc10-1c5c-4c7b-964e-0569b3649b9b' class='xr-var-data-in' type='checkbox'><label for='data-63c4dc10-1c5c-4c7b-964e-0569b3649b9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[-9.49917212e-02, -9.68650654e-02, -8.95264447e-02, ...,\n",
+       "          -1.30459642e+01, -1.31258478e+01, -1.31902342e+01],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-1.67487394e-02,  5.63607842e-04,  2.34647561e-02, ...,\n",
+       "          -1.30383606e+01, -1.31147003e+01, -1.31708059e+01],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 5.64690344e-02,  9.15815011e-02,  1.28741562e-01, ...,\n",
+       "          -1.30466280e+01, -1.31305094e+01, -1.31981239e+01],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -1.59149802e+00, -2.06409812e+00, -2.54042363e+00],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-2.09977627e+00, -2.49809241e+00, -2.82182002e+00, ...,\n",
+       "          -1.46103466e+00, -1.93254316e+00, -2.41721559e+00],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-2.08752060e+00, -2.48598742e+00, -2.80993962e+00, ...,\n",
+       "          -1.50068474e+00, -1.97253859e+00, -2.45660615e+00],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_3</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.001409 -0.0009854 ... nan nan</div><input id='attrs-ae36c667-614f-4a4a-8c0c-c73033b410b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae36c667-614f-4a4a-8c0c-c73033b410b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57e2ae5a-4074-472d-8492-7114573f675e' class='xr-var-data-in' type='checkbox'><label for='data-57e2ae5a-4074-472d-8492-7114573f675e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m3 s-3</dd><dt><span>long_name :</span></dt><dd>Moment 3 of the U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[-1.40902773e-03, -9.85385966e-04, -1.59479052e-04, ...,\n",
+       "           2.62038526e-03,  1.91816140e-03,  9.36055323e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 1.43977255e-03,  2.87981145e-03,  4.21256153e-03, ...,\n",
+       "           2.38896420e-04,  7.26173923e-04,  1.20713946e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 1.00412208e-03,  1.59067556e-03,  2.04086746e-03, ...,\n",
+       "          -1.82128523e-03, -5.86811570e-04, -1.91333165e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -1.40808960e-02, -3.07288263e-02, -3.62359621e-02],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 4.48108232e-03,  6.49248622e-03,  8.41626711e-03, ...,\n",
+       "          -3.49943265e-02, -3.38279046e-02, -2.12429855e-02],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 5.94858965e-03,  7.49488873e-03,  7.74336653e-03, ...,\n",
+       "          -3.00069642e-03, -2.56332080e-03, -9.12722957e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_4</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01919 0.03403 0.04558 ... nan nan</div><input id='attrs-71f24009-4870-413d-94a9-177f4975a8ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71f24009-4870-413d-94a9-177f4975a8ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73314959-fb4a-4442-ae41-522eaa62f55b' class='xr-var-data-in' type='checkbox'><label for='data-73314959-fb4a-4442-ae41-522eaa62f55b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m4 s-4</dd><dt><span>long_name :</span></dt><dd>Moment 4 of the U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.01918945, 0.03403257, 0.04558229, ..., 0.01016053,\n",
+       "          0.00863376, 0.0082782 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00906352, 0.01653056, 0.02278082, ..., 0.00661484,\n",
+       "          0.00576363, 0.0057016 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00407337, 0.00726029, 0.01000305, ..., 0.01024383,\n",
+       "          0.00929487, 0.00795281],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.01967291, 0.03420463, 0.04213536, ..., 0.25425413,\n",
+       "          0.30869257, 0.37556842],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01229064, 0.021283  , 0.02697428, ..., 0.2518671 ,\n",
+       "          0.28112355, 0.30377305],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01996377, 0.03464783, 0.0410837 , ..., 0.28225797,\n",
+       "          0.3465459 , 0.4004334 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.004834 -0.0002237 ... nan nan</div><input id='attrs-336766ac-75a4-4747-aba1-fae70632b9e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-336766ac-75a4-4747-aba1-fae70632b9e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7e69d28-a65a-4cc4-9fc6-bb15d332694f' class='xr-var-data-in' type='checkbox'><label for='data-d7e69d28-a65a-4cc4-9fc6-bb15d332694f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 4.8337313e-03, -2.2370182e-04, -3.0375787e-03, ...,\n",
+       "           5.0083078e-03,  4.4756564e-03,  3.7104320e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 2.6823976e-04, -5.1314686e-03, -8.2919905e-03, ...,\n",
+       "           5.1225591e-03,  4.2030192e-03,  3.1180584e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-3.5626304e-03, -9.3061673e-03, -1.2770951e-02, ...,\n",
+       "           5.8964840e-03,  5.0147320e-03,  4.0007792e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "           4.5493256e-02,  4.5931518e-02,  4.6126273e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 8.8402569e-02,  8.1081741e-02,  7.5889923e-02, ...,\n",
+       "           4.7641065e-02,  4.8390687e-02,  4.8661698e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 8.9991041e-02,  8.2294174e-02,  7.6785348e-02, ...,\n",
+       "           4.4840824e-02,  4.5126006e-02,  4.6265598e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -0.000416 ... nan nan</div><input id='attrs-68ea8de9-8663-4874-a315-30ab9331d69c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68ea8de9-8663-4874-a315-30ab9331d69c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e9f3e82-fa0a-4d3c-9ef4-4ade6f51b61c' class='xr-var-data-in' type='checkbox'><label for='data-4e9f3e82-fa0a-4d3c-9ef4-4ade6f51b61c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00, -4.16043913e-04, -9.52353410e-04, ...,\n",
+       "           3.13887000e-03,  2.08051922e-03,  1.08090532e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -2.60635716e-04, -6.17534562e-04, ...,\n",
+       "           3.31096421e-03,  3.08820326e-03,  2.80047231e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -2.76613369e-04, -6.60845137e-04, ...,\n",
+       "           3.51774110e-03,  3.21261119e-03,  2.75658048e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           1.58949830e-02,  1.73573103e-02,  1.84237305e-02],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.20568695e-03,  2.54518702e-03, ...,\n",
+       "           1.66938379e-02,  1.77665502e-02,  1.87248122e-02],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.42514578e-03,  2.94300099e-03, ...,\n",
+       "           1.76848453e-02,  1.90284271e-02,  1.90232154e-02],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.009499 -0.0001703 ... nan nan</div><input id='attrs-13ba32bc-5ed4-47a9-901e-df1a908f7bac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13ba32bc-5ed4-47a9-901e-df1a908f7bac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92fecb4a-961f-4afc-b3c1-4f53ea3cadc4' class='xr-var-data-in' type='checkbox'><label for='data-92fecb4a-961f-4afc-b3c1-4f53ea3cadc4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[-9.49917268e-03, -1.70304163e-04,  6.11551455e-04, ...,\n",
+       "          -1.99707877e-03, -1.60965521e-03, -1.18984294e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-1.67487410e-03,  1.57385028e-03,  1.90842885e-03, ...,\n",
+       "          -1.90849928e-03, -1.40263047e-03, -9.35917778e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 5.64690307e-03,  3.19204223e-03,  3.09667177e-03, ...,\n",
+       "          -2.09703553e-03, -1.69031892e-03, -1.24180259e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -1.18149975e-02, -1.19081447e-02, -1.23671191e-02],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-2.09977672e-01, -3.62105221e-02, -2.69773006e-02, ...,\n",
+       "          -1.17877126e-02, -1.21168131e-02, -1.26073137e-02],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-2.08752051e-01, -3.62242796e-02, -2.69960091e-02, ...,\n",
+       "          -1.17963487e-02, -1.21016940e-02, -1.23827755e-02],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.07758 0.1033 0.1193 ... nan nan</div><input id='attrs-a84cffe7-d238-4e07-98eb-7faed8ece009' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a84cffe7-d238-4e07-98eb-7faed8ece009' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d13a634-6b42-4e90-93db-41d64f39f71e' class='xr-var-data-in' type='checkbox'><label for='data-9d13a634-6b42-4e90-93db-41d64f39f71e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.07757594, 0.10334253, 0.11932987, ..., 0.05822359,\n",
+       "          0.05638469, 0.05637448],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.05485221, 0.07437593, 0.08756799, ..., 0.04853062,\n",
+       "          0.04446862, 0.04261628],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.03722739, 0.04992924, 0.05872838, ..., 0.05875093,\n",
+       "          0.05609078, 0.05301555],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.07946972, 0.10871731, 0.12318816, ..., 0.2886051 ,\n",
+       "          0.32145718, 0.35842928],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.06079409, 0.08316822, 0.09457625, ..., 0.30183765,\n",
+       "          0.3181478 , 0.32992613],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.07831373, 0.10593799, 0.11652273, ..., 0.31453082,\n",
+       "          0.34970632, 0.3716754 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-4.716e+03 nan nan ... nan nan</div><input id='attrs-958dbab0-773f-4b83-b30a-2672a417159c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-958dbab0-773f-4b83-b30a-2672a417159c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-deb38656-ab66-4729-8087-f92fb1aba9e5' class='xr-var-data-in' type='checkbox'><label for='data-deb38656-ab66-4729-8087-f92fb1aba9e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-1 s-1 kg</dd><dt><span>long_name :</span></dt><dd>U velocity path</dd></dl></div><div class='xr-var-data'><pre>array([[[-4715.812  ,         nan,         nan],\n",
+       "        [-4754.7944 ,         nan,         nan],\n",
+       "        [-4701.4146 ,         nan,         nan],\n",
+       "        [-4701.4146 ,         nan,         nan],\n",
+       "        [-4761.2563 ,         nan,         nan],\n",
+       "        [-4768.281  ,         nan,         nan],\n",
+       "        [-4731.2886 ,         nan,         nan]],\n",
+       "\n",
+       "       [[-4502.8438 ,         nan,         nan],\n",
+       "        [-4536.906  ,         nan,         nan],\n",
+       "        [-4475.775  ,         nan,         nan],\n",
+       "        [-4475.775  ,         nan,         nan],\n",
+       "        [-4532.352  ,         nan,         nan],\n",
+       "        [-4542.9644 ,         nan,         nan],\n",
+       "        [-4498.607  ,         nan,         nan]],\n",
+       "\n",
+       "       [[-3741.0918 ,         nan,         nan],\n",
+       "        [-3767.9307 ,         nan,         nan],\n",
+       "        [-3703.6038 ,         nan,         nan],\n",
+       "        [-3703.6038 ,         nan,         nan],\n",
+       "...\n",
+       "        [44743.484  ,         nan,         nan],\n",
+       "        [44775.     ,         nan,         nan],\n",
+       "        [44678.77   ,         nan,         nan],\n",
+       "        [44734.082  ,         nan,         nan]],\n",
+       "\n",
+       "       [[41304.848  ,         nan,         nan],\n",
+       "        [41262.37   ,         nan,         nan],\n",
+       "        [41446.03   ,         nan,         nan],\n",
+       "        [41446.03   ,         nan,         nan],\n",
+       "        [41474.35   ,         nan,         nan],\n",
+       "        [41373.203  ,         nan,         nan],\n",
+       "        [41437.78   ,         nan,         nan]],\n",
+       "\n",
+       "       [[37084.523  ,         nan,         nan],\n",
+       "        [37066.5    ,         nan,         nan],\n",
+       "        [37194.44   ,         nan,         nan],\n",
+       "        [37194.44   ,         nan,         nan],\n",
+       "        [37222.44   ,         nan,         nan],\n",
+       "        [37134.44   ,         nan,         nan],\n",
+       "        [37184.668  ,         nan,         nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.004834 -0.0006397 ... nan nan</div><input id='attrs-da6a4a65-fc60-4545-b4e5-de37ae2ce377' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da6a4a65-fc60-4545-b4e5-de37ae2ce377' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3056ea0-24c2-4be5-9649-f1687846ff3a' class='xr-var-data-in' type='checkbox'><label for='data-d3056ea0-24c2-4be5-9649-f1687846ff3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Total flux of the U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00483373, -0.00063975, -0.00398993, ...,  0.00814718,\n",
+       "           0.00655618,  0.00479134],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.00026824, -0.0053921 , -0.00890952, ...,  0.00843352,\n",
+       "           0.00729122,  0.00591853],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.00356263, -0.00958278, -0.0134318 , ...,  0.00941422,\n",
+       "           0.00822734,  0.00675736],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 0.09183112,  0.08559972,  0.08162395, ...,  0.06138824,\n",
+       "           0.06328883,  0.06455   ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.08840257,  0.08228742,  0.07843512, ...,  0.06433491,\n",
+       "           0.06615724,  0.06738651],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.08999104,  0.08371932,  0.07972834, ...,  0.06252567,\n",
+       "           0.06415442,  0.06528881],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.354 5.359 6.127 ... nan nan nan</div><input id='attrs-07032ec6-3361-43f5-a941-5a5627f0ab8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07032ec6-3361-43f5-a941-5a5627f0ab8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2ad3dad-7795-4906-a60c-6ce1c0c292fe' class='xr-var-data-in' type='checkbox'><label for='data-f2ad3dad-7795-4906-a60c-6ce1c0c292fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[  4.354159 ,   5.3590884,   6.127005 , ...,  11.668595 ,\n",
+       "           12.139609 ,  12.615883 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  4.307282 ,   5.3010173,   6.0629115, ...,  11.610049 ,\n",
+       "           12.0808   ,  12.559289 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  4.3404784,   5.3431535,   6.112883 , ...,  11.667278 ,\n",
+       "           12.140002 ,  12.618789 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[  3.076462 ,   3.7007847,   4.227028 , ..., -19.906942 ,\n",
+       "          -20.513496 , -21.102257 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  3.0726795,   3.6933982,   4.2173495, ..., -19.530668 ,\n",
+       "          -20.165392 , -20.789743 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  3.1292334,   3.761398 ,   4.292082 , ..., -19.47424  ,\n",
+       "          -20.089907 , -20.687008 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_3</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.09091 0.1656 0.2339 ... nan nan</div><input id='attrs-9fc4eeb7-85a6-4d95-8e9c-f5b155793ce7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fc4eeb7-85a6-4d95-8e9c-f5b155793ce7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de87b891-7cbf-41e0-bc15-52a177bd5f8a' class='xr-var-data-in' type='checkbox'><label for='data-de87b891-7cbf-41e0-bc15-52a177bd5f8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m3 s-3</dd><dt><span>long_name :</span></dt><dd>Moment 3 of the V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 9.09094736e-02,  1.65625244e-01,  2.33898476e-01, ...,\n",
+       "          -4.20214562e-03, -6.94942242e-03, -9.19930264e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 7.45725036e-02,  1.44534886e-01,  2.17775390e-01, ...,\n",
+       "           9.46714543e-03,  5.61530283e-03,  2.56581022e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 3.98850851e-02,  7.11039528e-02,  9.92931947e-02, ...,\n",
+       "           1.14700375e-02,  8.35625082e-03,  1.29812525e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           1.16332114e-01,  1.16775252e-01,  7.91464373e-02],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-1.12319551e-02, -1.96370166e-02, -3.16545852e-02, ...,\n",
+       "          -5.84175773e-02, -2.25789603e-02, -6.37704181e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-2.57698540e-03, -4.94174147e-03, -8.35200679e-03, ...,\n",
+       "          -3.55744660e-02, -1.76107455e-02,  1.75447911e-02],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_4</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.8115 1.85 3.014 ... nan nan nan</div><input id='attrs-8ef8c0e2-dadf-4343-8aca-c99a29626a49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ef8c0e2-dadf-4343-8aca-c99a29626a49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df940373-d80f-48b6-9fcc-0ebb103b66ac' class='xr-var-data-in' type='checkbox'><label for='data-df940373-d80f-48b6-9fcc-0ebb103b66ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m4 s-4</dd><dt><span>long_name :</span></dt><dd>Moment 4 of the V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[8.11496735e-01, 1.84975803e+00, 3.01371121e+00, ...,\n",
+       "          7.19377995e-02, 7.78881088e-02, 8.58658180e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[3.89646530e-01, 9.07469809e-01, 1.51135457e+00, ...,\n",
+       "          7.03007132e-02, 6.54432550e-02, 6.27623722e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[1.18167073e-01, 2.59517938e-01, 4.14338678e-01, ...,\n",
+       "          1.13024659e-01, 1.20911896e-01, 1.22352071e-01],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          1.99051440e+00, 1.78279400e+00, 1.42681754e+00],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[5.46404012e-02, 1.25033692e-01, 2.03147843e-01, ...,\n",
+       "          1.37845516e+00, 1.19354188e+00, 1.13856626e+00],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[4.41932194e-02, 1.18256591e-01, 2.03074574e-01, ...,\n",
+       "          1.31161869e+00, 1.16126144e+00, 9.71093714e-01],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2723 -0.2668 -0.2613 ... nan nan</div><input id='attrs-fdb97524-fad2-4f27-8041-dfbb75609d8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdb97524-fad2-4f27-8041-dfbb75609d8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04f8ca2d-b484-4381-8c6b-247eace4c459' class='xr-var-data-in' type='checkbox'><label for='data-04f8ca2d-b484-4381-8c6b-247eace4c459' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[-0.2723187 , -0.26684368, -0.26133433, ..., -0.02283219,\n",
+       "          -0.02311927, -0.0225108 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.26330158, -0.25924253, -0.25516912, ..., -0.02359941,\n",
+       "          -0.02435344, -0.02418181],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.26414326, -0.2608383 , -0.25767645, ..., -0.0237529 ,\n",
+       "          -0.02484685, -0.02519906],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[-0.13200468, -0.12964274, -0.12678503, ...,  0.06429256,\n",
+       "           0.06075839,  0.05720695],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.12980865, -0.12709188, -0.12384892, ...,  0.0711123 ,\n",
+       "           0.06792122,  0.06305306],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.13495374, -0.13168573, -0.12774041, ...,  0.06274878,\n",
+       "           0.05928886,  0.05707845],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -0.003076 -0.006489 ... nan nan</div><input id='attrs-2e744e60-23dc-44e8-8649-b2cef14b153f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e744e60-23dc-44e8-8649-b2cef14b153f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a60d3e26-ebfa-4925-b165-652465be43c7' class='xr-var-data-in' type='checkbox'><label for='data-a60d3e26-ebfa-4925-b165-652465be43c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.        , -0.00307555, -0.00648921, ..., -0.00540954,\n",
+       "          -0.00548873, -0.00607088],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        , -0.00212908, -0.00454533, ..., -0.0042045 ,\n",
+       "          -0.00400367, -0.00405313],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        , -0.00118444, -0.00250309, ..., -0.00531726,\n",
+       "          -0.00499956, -0.00502317],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 0.        , -0.00185205, -0.00410024, ...,  0.03458073,\n",
+       "           0.03337919,  0.03106754],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        , -0.00234464, -0.00511139, ...,  0.03162116,\n",
+       "           0.02963656,  0.02944005],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        , -0.00291575, -0.00637811, ...,  0.02793687,\n",
+       "           0.02730381,  0.02530385],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.4354 0.09136 0.06399 ... nan nan</div><input id='attrs-aafcd3d0-1594-4aed-8591-cf47c06186f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aafcd3d0-1594-4aed-8591-cf47c06186f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06f9a368-2f1f-4ade-81bc-38942d160ec4' class='xr-var-data-in' type='checkbox'><label for='data-06f9a368-2f1f-4ade-81bc-38942d160ec4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.43541586,  0.09135725,  0.06399304, ...,  0.01177533,\n",
+       "           0.01190685,  0.01195674],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.4307282 ,  0.09033957,  0.06349116, ...,  0.01176882,\n",
+       "           0.0119622 ,  0.01214385],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.43404785,  0.09115225,  0.06414418, ...,  0.0118181 ,\n",
+       "           0.01196966,  0.01203723],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 0.3076462 ,  0.0567566 ,  0.04385361, ..., -0.0151638 ,\n",
+       "          -0.01471905, -0.01425529],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.30726793,  0.05642899,  0.04366258, ..., -0.0158681 ,\n",
+       "          -0.01560878, -0.01507068],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.31292334,  0.05746952,  0.04422364, ..., -0.0153917 ,\n",
+       "          -0.01492754, -0.0145243 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.5385 0.8205 1.053 ... nan nan nan</div><input id='attrs-fe62434c-8da4-4eaf-82de-2333f04411d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe62434c-8da4-4eaf-82de-2333f04411d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41b2158e-9f27-4656-b98e-51fcbaa5a2c2' class='xr-var-data-in' type='checkbox'><label for='data-41b2158e-9f27-4656-b98e-51fcbaa5a2c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.5384955 , 0.8205159 , 1.0525634 , ..., 0.15860043,\n",
+       "          0.16706336, 0.17569675],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.39135894, 0.59841627, 0.77161473, ..., 0.14564537,\n",
+       "          0.14447454, 0.14592505],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.19480985, 0.29185885, 0.37168288, ..., 0.1869903 ,\n",
+       "          0.19423968, 0.20012741],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.13781263, 0.21603782, 0.27521345, ..., 0.8389434 ,\n",
+       "          0.7847247 , 0.70331484],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.13425352, 0.2085383 , 0.26403055, ..., 0.7255812 ,\n",
+       "          0.6681343 , 0.6372035 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.14048027, 0.23067643, 0.30136383, ..., 0.67165256,\n",
+       "          0.63084364, 0.5739154 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.625e+04 nan nan ... nan nan</div><input id='attrs-41488d44-b52d-4dee-b4f1-44c27b8b0a2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41488d44-b52d-4dee-b4f1-44c27b8b0a2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5e8e2cd-2ba6-4103-bbe9-b15c928279ef' class='xr-var-data-in' type='checkbox'><label for='data-c5e8e2cd-2ba6-4103-bbe9-b15c928279ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-1 s-1 kg</dd><dt><span>long_name :</span></dt><dd>V velocity path</dd></dl></div><div class='xr-var-data'><pre>array([[[ 1.6245251e+04,            nan,            nan],\n",
+       "        [ 1.6327103e+04,            nan,            nan],\n",
+       "        [ 1.6450805e+04,            nan,            nan],\n",
+       "        [ 1.6450805e+04,            nan,            nan],\n",
+       "        [ 1.6378855e+04,            nan,            nan],\n",
+       "        [ 1.6380281e+04,            nan,            nan],\n",
+       "        [ 1.6439955e+04,            nan,            nan]],\n",
+       "\n",
+       "       [[ 2.0423604e+04,            nan,            nan],\n",
+       "        [ 2.0521787e+04,            nan,            nan],\n",
+       "        [ 2.0640174e+04,            nan,            nan],\n",
+       "        [ 2.0640174e+04,            nan,            nan],\n",
+       "        [ 2.0575502e+04,            nan,            nan],\n",
+       "        [ 2.0576330e+04,            nan,            nan],\n",
+       "        [ 2.0628928e+04,            nan,            nan]],\n",
+       "\n",
+       "       [[ 2.4335977e+04,            nan,            nan],\n",
+       "        [ 2.4438525e+04,            nan,            nan],\n",
+       "        [ 2.4554469e+04,            nan,            nan],\n",
+       "        [ 2.4554469e+04,            nan,            nan],\n",
+       "...\n",
+       "        [ 6.1798676e+02,            nan,            nan],\n",
+       "        [ 5.4692499e+02,            nan,            nan],\n",
+       "        [ 6.2734949e+02,            nan,            nan],\n",
+       "        [ 6.0980713e+02,            nan,            nan]],\n",
+       "\n",
+       "       [[-3.3100574e+03,            nan,            nan],\n",
+       "        [-3.1599929e+03,            nan,            nan],\n",
+       "        [-3.4127236e+03,            nan,            nan],\n",
+       "        [-3.4127236e+03,            nan,            nan],\n",
+       "        [-3.4946768e+03,            nan,            nan],\n",
+       "        [-3.3898298e+03,            nan,            nan],\n",
+       "        [-3.4215486e+03,            nan,            nan]],\n",
+       "\n",
+       "       [[-7.0398613e+03,            nan,            nan],\n",
+       "        [-6.8704263e+03,            nan,            nan],\n",
+       "        [-7.1494868e+03,            nan,            nan],\n",
+       "        [-7.1494868e+03,            nan,            nan],\n",
+       "        [-7.2409648e+03,            nan,            nan],\n",
+       "        [-7.1154976e+03,            nan,            nan],\n",
+       "        [-7.1654790e+03,            nan,            nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2723 -0.2699 -0.2678 ... nan nan</div><input id='attrs-771517bd-765e-494e-9b72-ce4f1f70599a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-771517bd-765e-494e-9b72-ce4f1f70599a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-456be610-edf8-461e-8749-7746d4aac205' class='xr-var-data-in' type='checkbox'><label for='data-456be610-edf8-461e-8749-7746d4aac205' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Total flux of the V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[-0.2723187 , -0.26991922, -0.26782352, ..., -0.02824172,\n",
+       "          -0.02860799, -0.02858169],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.26330158, -0.26137164, -0.25971445, ..., -0.02780391,\n",
+       "          -0.02835711, -0.02823495],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.26414326, -0.26202273, -0.26017955, ..., -0.02907016,\n",
+       "          -0.02984641, -0.03022222],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[-0.13200468, -0.13149479, -0.13088526, ...,  0.09887329,\n",
+       "           0.09413758,  0.08827449],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.12980865, -0.12943651, -0.12896031, ...,  0.10273346,\n",
+       "           0.09755778,  0.09249311],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.13495374, -0.1346015 , -0.13411851, ...,  0.09068566,\n",
+       "           0.08659267,  0.0823823 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1.16e-10 1.775e-10 ... nan nan</div><input id='attrs-fc6b0d2d-2673-4b0d-8853-24c2ae7a5060' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc6b0d2d-2673-4b0d-8853-24c2ae7a5060' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1f6b5c4-5ab0-4fae-9261-d4bf0dc12077' class='xr-var-data-in' type='checkbox'><label for='data-c1f6b5c4-5ab0-4fae-9261-d4bf0dc12077' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Vertical velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  1.15976194e-10,  1.77543605e-10, ...,\n",
+       "          -6.43586684e-10, -6.70604905e-10, -6.13613771e-10],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.20320087e-10,  1.70441050e-10, ...,\n",
+       "          -4.28033692e-10, -4.29768859e-10, -4.59531885e-10],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.30374656e-10,  4.05349893e-10, ...,\n",
+       "          -5.25977761e-10, -4.81743478e-10, -5.50631041e-10],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -1.10604814e-09, -1.14130805e-09, -1.12637000e-09],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  4.87720475e-10,  8.62101446e-10, ...,\n",
+       "          -1.37780243e-09, -1.54771840e-09, -1.47588708e-09],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  2.68065098e-10,  5.87139670e-10, ...,\n",
+       "          -9.50123091e-10, -1.01147857e-09, -9.78468084e-10],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>w_3</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -9.067e-07 ... nan nan</div><input id='attrs-30630356-0fbd-4682-9cb9-59f78fdcfc40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30630356-0fbd-4682-9cb9-59f78fdcfc40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3027d4b7-9e85-4301-b175-a3893e673fe3' class='xr-var-data-in' type='checkbox'><label for='data-3027d4b7-9e85-4301-b175-a3893e673fe3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m3 s-3</dd><dt><span>long_name :</span></dt><dd>Moment 3 of the Vertical velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00, -9.06703065e-07, -4.93891685e-06, ...,\n",
+       "           2.80323817e-04,  2.41136935e-04,  1.95793502e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -3.21992076e-07, -1.77402251e-06, ...,\n",
+       "          -2.30133810e-05,  1.30888320e-05,  1.89649963e-05],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -7.35410097e-08, -4.65083644e-07, ...,\n",
+       "           3.61101207e-04,  3.98091885e-04,  4.33752866e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -7.71546678e-04, -8.07258941e-04, -7.66528246e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -3.57939740e-07, -1.38005464e-06, ...,\n",
+       "           1.29378506e-03,  1.47577142e-03,  1.69295853e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -2.97157612e-07, -1.46258469e-06, ...,\n",
+       "          -5.94276353e-04, -5.99161664e-04, -5.01382805e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>w_4</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 6.668e-08 6.486e-07 ... nan nan</div><input id='attrs-70e1cba3-fe11-4c60-bc3e-786aebce3e2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70e1cba3-fe11-4c60-bc3e-786aebce3e2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65bf5a35-a832-49e3-8b69-823c278310cc' class='xr-var-data-in' type='checkbox'><label for='data-65bf5a35-a832-49e3-8b69-823c278310cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m4 s-4</dd><dt><span>long_name :</span></dt><dd>Moment 4 of the Vertical velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.00000000e+00, 6.66771030e-08, 6.48565674e-07, ...,\n",
+       "          9.40940401e-04, 9.42035345e-04, 9.61839047e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[0.00000000e+00, 2.27871340e-08, 2.25901502e-07, ...,\n",
+       "          5.23299619e-04, 5.03925898e-04, 4.90895996e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[0.00000000e+00, 1.25350823e-08, 1.34344319e-07, ...,\n",
+       "          1.23084930e-03, 1.23891840e-03, 1.26626110e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          4.59349295e-03, 5.04566729e-03, 5.46755129e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[0.00000000e+00, 7.75968303e-08, 6.97235521e-07, ...,\n",
+       "          4.87371767e-03, 5.12770889e-03, 5.47287846e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[0.00000000e+00, 7.93894586e-08, 6.87945487e-07, ...,\n",
+       "          2.03512283e-03, 2.13561649e-03, 2.21739407e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>w_2</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 9.161e-05 0.000298 ... nan nan</div><input id='attrs-26dec4ee-5440-4ab3-ab75-a2737528c45d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26dec4ee-5440-4ab3-ab75-a2737528c45d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67bfc410-3739-44c7-9084-bcd9f4078674' class='xr-var-data-in' type='checkbox'><label for='data-67bfc410-3739-44c7-9084-bcd9f4078674' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Vertical velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.00000000e+00, 9.16085264e-05, 2.97962717e-04, ...,\n",
+       "          1.74643099e-02, 1.75024848e-02, 1.77055653e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[0.00000000e+00, 5.97967301e-05, 1.95054061e-04, ...,\n",
+       "          1.37713207e-02, 1.34718912e-02, 1.32834027e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[0.00000000e+00, 5.90166273e-05, 1.95237444e-04, ...,\n",
+       "          2.14855373e-02, 2.14047786e-02, 2.13972572e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          3.97772528e-02, 4.17786352e-02, 4.34389412e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[0.00000000e+00, 1.27760795e-04, 3.87271954e-04, ...,\n",
+       "          3.96590754e-02, 4.07278873e-02, 4.19532470e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[0.00000000e+00, 1.41293727e-04, 4.27006744e-04, ...,\n",
+       "          2.54677460e-02, 2.61678938e-02, 2.67648324e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.108 -0.1084 -0.1087 ... nan nan</div><input id='attrs-332599e1-46be-44e7-a039-e83018acaf74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-332599e1-46be-44e7-a039-e83018acaf74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfec930a-1d9b-4915-98c5-9cbca3d5bf70' class='xr-var-data-in' type='checkbox'><label for='data-cfec930a-1d9b-4915-98c5-9cbca3d5bf70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>long_name :</span></dt><dd>Pressure</dd></dl></div><div class='xr-var-data'><pre>array([[[[-0.10800928, -0.10835731, -0.1086956 , ..., -0.11452613,\n",
+       "          -0.11444441, -0.1144923 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.10794923, -0.10819447, -0.10844407, ..., -0.11419653,\n",
+       "          -0.11386812, -0.11358403],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.13556617, -0.1357502 , -0.13596681, ..., -0.14468706,\n",
+       "          -0.14449061, -0.14439411],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[-0.23705041, -0.23741335, -0.2377463 , ..., -0.26914257,\n",
+       "          -0.27090684, -0.27265644],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.23685719, -0.23728843, -0.23767434, ..., -0.27016094,\n",
+       "          -0.27144003, -0.27255103],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.23667555, -0.23717429, -0.23758115, ..., -0.25887594,\n",
+       "          -0.25940368, -0.25994244],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -3.164e-05 ... nan nan</div><input id='attrs-fbee966c-74fe-4413-b44a-e4e5b1a38a15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbee966c-74fe-4413-b44a-e4e5b1a38a15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5266e470-dce8-4b8c-8eda-ced141908965' class='xr-var-data-in' type='checkbox'><label for='data-5266e470-dce8-4b8c-8eda-ced141908965' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa m-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the Pressure</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00, -3.16387777e-05, -2.81903576e-05, ...,\n",
+       "           2.04312460e-06, -1.19728975e-06, -2.85893657e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -2.22944054e-05, -2.08010752e-05, ...,\n",
+       "           8.21014601e-06,  7.10233735e-06,  5.41984264e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -1.67290782e-05, -1.80501866e-05, ...,\n",
+       "           4.91127457e-06,  2.41244084e-06,  4.58316372e-08],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -4.41065349e-05, -4.37399030e-05, -3.44555519e-05],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -3.92033071e-05, -3.21595689e-05, ...,\n",
+       "          -3.19765386e-05, -2.77755607e-05, -2.66761272e-05],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -4.53412904e-05, -3.39050421e-05, ...,\n",
+       "          -1.31937495e-05, -1.34686043e-05, -1.23689542e-05],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.858 2.824 2.792 ... nan nan nan</div><input id='attrs-b9661585-e6f3-41cf-b9a5-29ecffd6068e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9661585-e6f3-41cf-b9a5-29ecffd6068e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0532706-4f3a-4a19-891a-0d6b73e1ba1c' class='xr-var-data-in' type='checkbox'><label for='data-e0532706-4f3a-4a19-891a-0d6b73e1ba1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Pressure</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 2.8579495 ,  2.8240483 ,  2.7924984 , ...,  2.207691  ,\n",
+       "           2.1574059 ,  2.1123304 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 3.171086  ,  3.1687863 ,  3.1685035 , ...,  1.1986715 ,\n",
+       "           1.1707826 ,  1.1495337 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 2.9313374 ,  2.9286213 ,  2.927327  , ...,  2.0324907 ,\n",
+       "           2.0163167 ,  2.0076082 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 3.2375793 ,  3.2190793 ,  3.2026198 , ...,  4.414969  ,\n",
+       "           4.4367547 ,  4.439202  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 2.6819513 ,  2.6608226 ,  2.6425488 , ...,  4.36505   ,\n",
+       "           4.3610935 ,  4.358871  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.47701955,  0.46205878,  0.44835815, ...,  1.9038005 ,\n",
+       "           1.9109792 ,  1.9085034 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -0.002575 -0.004335 ... nan nan</div><input id='attrs-7ef9b7f6-4fe3-406e-9661-2a14107d6b52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ef9b7f6-4fe3-406e-9661-2a14107d6b52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-982ef1a1-6a7e-477d-adab-bf9c063e731f' class='xr-var-data-in' type='checkbox'><label for='data-982ef1a1-6a7e-477d-adab-bf9c063e731f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa m s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Pressure</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.        , -0.00257495, -0.00433491, ...,  0.0253437 ,\n",
+       "           0.02622891,  0.02714764],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        , -0.00148246, -0.00244596, ...,  0.0190824 ,\n",
+       "           0.01892645,  0.01881476],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        , -0.00158928, -0.00264439, ...,  0.01583462,\n",
+       "           0.01583607,  0.01576538],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 0.        , -0.00250581, -0.00422122, ...,  0.10670681,\n",
+       "           0.11139262,  0.11579252],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        , -0.00164386, -0.00259885, ...,  0.07761899,\n",
+       "           0.08227109,  0.08783305],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        , -0.00115905, -0.00175072, ...,  0.00810947,\n",
+       "           0.00820806,  0.0077717 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ke</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.795 14.83 19.37 ... nan nan nan</div><input id='attrs-6821a935-45b5-4361-8d56-0f8f4418e261' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6821a935-45b5-4361-8d56-0f8f4418e261' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd8a14f9-91a3-4de6-bb50-8eb480ba00cf' class='xr-var-data-in' type='checkbox'><label for='data-fd8a14f9-91a3-4de6-bb50-8eb480ba00cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Kinetic energy</dd></dl></div><div class='xr-var-data'><pre>array([[[[  9.795363 ,  14.830974 ,  19.365995 , ..., 153.5522   ,\n",
+       "          160.21724  , 166.9752   ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  9.502869 ,  14.390937 ,  18.814737 , ..., 152.76085  ,\n",
+       "          159.34296  , 165.98346  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  9.542724 ,  14.456715 ,  18.916265 , ..., 153.56331  ,\n",
+       "          160.30305  , 167.13416  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[  7.1398025,  10.271957 ,  13.302558 , ..., 200.46599  ,\n",
+       "          213.60085  , 226.94548  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  7.021042 ,  10.084592 ,  13.051422 , ..., 192.77563  ,\n",
+       "          206.17482  , 220.02295  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  7.1824226,  10.330031 ,  13.365296 , ..., 191.69432  ,\n",
+       "          204.71935  , 217.97585  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tke</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.3072 0.4609 0.5849 ... nan nan</div><input id='attrs-89f92bd6-30e5-4e44-9d64-cd7950292c2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89f92bd6-30e5-4e44-9d64-cd7950292c2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b1dd1f3-0f30-4902-9cf0-c20f60694896' class='xr-var-data-in' type='checkbox'><label for='data-0b1dd1f3-0f30-4902-9cf0-c20f60694896' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Turbulent kinetic energy</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.30719957, 0.46090594, 0.5848716 , ..., 0.11605256,\n",
+       "          0.1193805 , 0.1237849 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.2225483 , 0.3356966 , 0.42883086, ..., 0.10304159,\n",
+       "          0.10031692, 0.10005572],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.11558611, 0.17035629, 0.21464165, ..., 0.13234799,\n",
+       "          0.13468122, 0.13618617],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.10674816, 0.15982823, 0.19634579, ..., 0.5765986 ,\n",
+       "          0.56680125, 0.54538995],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.0953754 , 0.1430042 , 0.17612737, ..., 0.5271252 ,\n",
+       "          0.5071241 , 0.49798715],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.10700534, 0.1651404 , 0.20549679, ..., 0.49899924,\n",
+       "          0.49636483, 0.47923926],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>36.5 36.5 36.5 ... 36.5 36.5 36.5</div><input id='attrs-6168464f-d6b0-4feb-ba47-e9e4db269c30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6168464f-d6b0-4feb-ba47-e9e4db269c30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c383e05-7a6e-442f-877b-ec23acf4c0e4' class='xr-var-data-in' type='checkbox'><label for='data-3c383e05-7a6e-442f-877b-ec23acf4c0e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>long_name :</span></dt><dd>Latitude</dd></dl></div><div class='xr-var-data'><pre>array([[[36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5]],\n",
+       "\n",
+       "       [[36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5]],\n",
+       "\n",
+       "       [[36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "...\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5]],\n",
+       "\n",
+       "       [[36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5]],\n",
+       "\n",
+       "       [[36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-97.5 -97.5 -97.5 ... -97.5 -97.5</div><input id='attrs-29066a6e-6ad8-495c-971a-00b94d3cdb43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29066a6e-6ad8-495c-971a-00b94d3cdb43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9c27854-9f25-4a47-ac62-3d40775ac923' class='xr-var-data-in' type='checkbox'><label for='data-f9c27854-9f25-4a47-ac62-3d40775ac923' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>long_name :</span></dt><dd>Longitude</dd></dl></div><div class='xr-var-data'><pre>array([[[-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5]],\n",
+       "\n",
+       "       [[-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5]],\n",
+       "\n",
+       "       [[-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "...\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5]],\n",
+       "\n",
+       "       [[-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5]],\n",
+       "\n",
+       "       [[-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>evisc</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.098 3.572 4.354 ... nan nan nan</div><input id='attrs-95dd3b6a-f110-46c0-98de-f4d42920742a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95dd3b6a-f110-46c0-98de-f4d42920742a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b84c191-0c35-4019-85c3-c96d49b328a1' class='xr-var-data-in' type='checkbox'><label for='data-1b84c191-0c35-4019-85c3-c96d49b328a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-1</dd><dt><span>long_name :</span></dt><dd>Eddy viscosity</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.0977395, 3.5720208, 4.3541985, ..., 1.6772243, 1.7104617,\n",
+       "          1.6868349],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[2.0781243, 3.5316608, 4.319552 , ..., 1.7484323, 1.7766293,\n",
+       "          1.7778598],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[2.0941918, 3.567627 , 4.3743362, ..., 1.6959138, 1.7910227,\n",
+       "          1.8332195],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[1.9579177, 2.5096712, 3.1434746, ..., 3.4353645, 3.3282907,\n",
+       "          3.2266405],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[1.9394323, 2.46546  , 3.0798695, ..., 3.6931698, 3.6100519,\n",
+       "          3.5069816],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[1.9597093, 2.5042717, 3.120716 , ..., 3.447755 , 3.299697 ,\n",
+       "          3.2448044],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>evisc_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1074 0.4291 0.6318 ... nan nan</div><input id='attrs-f80e8153-f9f0-41fd-b411-247fac6c124f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f80e8153-f9f0-41fd-b411-247fac6c124f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4d9eb6d-a010-4c25-bfde-263459388147' class='xr-var-data-in' type='checkbox'><label for='data-a4d9eb6d-a010-4c25-bfde-263459388147' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m4 s-2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Eddy viscosity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.10735131, 0.4290662 , 0.63181734, ..., 1.9052709 ,\n",
+       "          1.9713782 , 1.959446  ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.0788307 , 0.32360795, 0.49348748, ..., 1.7801892 ,\n",
+       "          1.8902756 , 1.9255518 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.0399599 , 0.15465891, 0.25249264, ..., 2.0641997 ,\n",
+       "          2.038348  , 2.0201557 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.03858019, 0.20011969, 0.29435793, ..., 6.476036  ,\n",
+       "          6.4885592 , 6.426048  ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.04886763, 0.20157452, 0.31760672, ..., 6.110246  ,\n",
+       "          6.153991  , 6.1157136 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.04385162, 0.23412722, 0.3406634 , ..., 5.7889557 ,\n",
+       "          5.812475  , 5.8039165 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.003148 0.003262 ... nan nan</div><input id='attrs-21b4e6cb-a570-48bc-8571-0242d0be9f84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21b4e6cb-a570-48bc-8571-0242d0be9f84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f807239a-1769-44b9-a7d7-b420d133e669' class='xr-var-data-in' type='checkbox'><label for='data-f807239a-1769-44b9-a7d7-b420d133e669' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-3</dd><dt><span>long_name :</span></dt><dd>Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[3.1479627e-03, 3.2623836e-03, 3.3518311e-03, ...,\n",
+       "          5.4207473e-04, 4.9476390e-04, 4.5082203e-04],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[7.9370715e-05, 8.2239239e-05, 8.4471299e-05, ...,\n",
+       "          1.9437164e-06, 1.7863771e-06, 1.6419261e-06],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[8.2359758e-05, 8.5319982e-05, 8.7609260e-05, ...,\n",
+       "          2.0887869e-06, 1.8857172e-06, 1.7119846e-06],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "...\n",
+       "        [[7.6262302e-05, 7.9164187e-05, 8.1756261e-05, ...,\n",
+       "          2.1335927e-03, 1.8611659e-03, 1.6149493e-03],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[2.8147741e-05, 2.9195335e-05, 3.0110217e-05, ...,\n",
+       "          1.1235340e-03, 9.9690992e-04, 8.7939418e-04],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[2.5819822e-05, 2.6785527e-05, 2.7636333e-05, ...,\n",
+       "          2.6740483e-04, 2.3645627e-04, 2.0816055e-04],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_3</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.025e-12 4.235e-12 ... nan nan</div><input id='attrs-fad8946d-fc35-4061-9f65-7736197aba08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fad8946d-fc35-4061-9f65-7736197aba08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba2c0ec6-8fe1-4ca4-be94-ecf8a2679fec' class='xr-var-data-in' type='checkbox'><label for='data-ba2c0ec6-8fe1-4ca4-be94-ecf8a2679fec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-9</dd><dt><span>long_name :</span></dt><dd>Moment 3 of the Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 4.02455673e-12,  4.23546051e-12,  4.23310475e-12, ...,\n",
+       "           9.15468466e-15,  1.13323903e-14, -9.41237834e-16],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 3.81188550e-17,  4.20001519e-17,  4.53645402e-17, ...,\n",
+       "           1.18068077e-21,  4.99992512e-22,  1.57913684e-22],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-7.63993785e-19, -8.18762034e-19, -8.24912638e-19, ...,\n",
+       "           2.09834981e-21,  7.20141755e-22,  5.26168709e-22],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           2.11824200e-12,  5.99198588e-13, -5.42659755e-14],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-1.21418930e-16, -1.34564299e-16, -1.48469378e-16, ...,\n",
+       "           3.87546982e-13,  6.99197305e-14, -3.50754311e-14],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-1.13686680e-18, -1.18958777e-18, -1.10628707e-18, ...,\n",
+       "           2.87408973e-15,  1.63446686e-15, -5.34798127e-16],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_4</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.206e-15 9.307e-15 ... nan nan</div><input id='attrs-d2d9ad48-f6a0-47f3-ac07-5d16a68f7705' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2d9ad48-f6a0-47f3-ac07-5d16a68f7705' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-735a57fe-e980-4f77-a28d-eb1de5f08556' class='xr-var-data-in' type='checkbox'><label for='data-735a57fe-e980-4f77-a28d-eb1de5f08556' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-12</dd><dt><span>long_name :</span></dt><dd>Moment 4 of the Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[8.20607467e-15, 9.30712772e-15, 1.02686626e-14, ...,\n",
+       "          1.07605039e-17, 7.81798424e-18, 6.64601200e-18],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[7.33173182e-22, 8.21558723e-22, 8.92098539e-22, ...,\n",
+       "          1.65672230e-27, 1.03001728e-27, 6.45728536e-28],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[5.94375832e-23, 6.24402150e-23, 6.19400645e-23, ...,\n",
+       "          5.78941513e-27, 2.87919690e-27, 1.41365656e-27],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          2.36454956e-14, 1.48162715e-14, 8.53896709e-15],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[1.44627570e-20, 1.62000625e-20, 1.77286793e-20, ...,\n",
+       "          9.87319073e-16, 6.99550059e-16, 5.18060650e-16],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[1.27811029e-22, 1.42831837e-22, 1.58222539e-22, ...,\n",
+       "          2.25692280e-18, 1.66019605e-18, 1.33599761e-18],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.264e-05 -8.754e-05 ... nan nan</div><input id='attrs-9b542990-f1ed-47a6-aa5b-275623c88ea5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b542990-f1ed-47a6-aa5b-275623c88ea5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22efc90a-e181-4186-8bd5-dfd3c5a7b3c7' class='xr-var-data-in' type='checkbox'><label for='data-22efc90a-e181-4186-8bd5-dfd3c5a7b3c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-2 s-1</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[-8.26411342e-05, -8.75351907e-05, -8.73357276e-05, ...,\n",
+       "           4.57057695e-06,  4.19627349e-06,  3.84657460e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-2.06252389e-06, -2.17984439e-06, -2.16897593e-06, ...,\n",
+       "           1.63124039e-08,  1.51442077e-08,  1.41378758e-08],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-2.16566855e-06, -2.28179920e-06, -2.26528732e-06, ...,\n",
+       "           2.01636166e-08,  1.82692173e-08,  1.64759886e-08],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           5.30302095e-05,  4.64568329e-05,  4.06848667e-05],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-5.41000645e-07, -6.26841484e-07, -6.26105930e-07, ...,\n",
+       "           2.88765150e-05,  2.59080116e-05,  2.31031572e-05],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-5.00880844e-07, -5.82132259e-07, -5.83734334e-07, ...,\n",
+       "           6.11107635e-06,  5.40975316e-06,  4.81929555e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 5.269e-07 1.01e-06 ... nan nan</div><input id='attrs-b23c6495-fe2f-4544-9460-71fa4d7dc291' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b23c6495-fe2f-4544-9460-71fa4d7dc291' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81af3760-d2ab-4c37-9b36-86eeac6eb567' class='xr-var-data-in' type='checkbox'><label for='data-81af3760-d2ab-4c37-9b36-86eeac6eb567' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-2 s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  5.26867780e-07,  1.01025432e-06, ...,\n",
+       "          -4.83350107e-07, -4.66095003e-07, -4.69549263e-07],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  6.60265620e-09,  1.26158506e-08, ...,\n",
+       "          -1.31457123e-09, -1.10652276e-09, -9.84318071e-10],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.35220990e-09,  2.44131604e-09, ...,\n",
+       "          -2.53168975e-09, -2.11530549e-09, -1.53443536e-09],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -3.06533980e-06, -2.94294546e-06, -2.23952134e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  9.25427290e-09,  1.63356848e-08, ...,\n",
+       "          -4.83853910e-07, -6.24774771e-07, -9.15997987e-07],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.07969322e-08,  1.93824761e-08, ...,\n",
+       "          -1.61054814e-07, -9.23061805e-08, -9.81890764e-08],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0003148 1.04e-05 ... nan nan</div><input id='attrs-aebd8ace-b51b-4cda-bfa3-0d5206d6488a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aebd8ace-b51b-4cda-bfa3-0d5206d6488a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7802c12-942d-4fb8-a048-9e66e702fc19' class='xr-var-data-in' type='checkbox'><label for='data-e7802c12-942d-4fb8-a048-9e66e702fc19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-4</dd><dt><span>long_name :</span></dt><dd>Gradient of the Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 3.14796314e-04,  1.04018955e-05,  7.45398620e-06, ...,\n",
+       "          -1.18277251e-06, -1.09854648e-06, -1.06648451e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 7.93707204e-06,  2.60775408e-07,  1.86004300e-07, ...,\n",
+       "          -3.93348509e-09, -3.61126506e-09, -3.43339246e-09],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 8.23597657e-06,  2.69111496e-07,  1.90773747e-07, ...,\n",
+       "          -5.07674214e-09, -4.34331637e-09, -3.82635346e-09],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -6.81066876e-06, -6.15541239e-06, -5.70003431e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 2.81477423e-06,  9.52356913e-08,  7.62399708e-08, ...,\n",
+       "          -3.16560181e-06, -2.93789412e-06, -2.79219580e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 2.58198247e-06,  8.77913848e-08,  7.09003842e-08, ...,\n",
+       "          -7.73714646e-07, -7.07392701e-07, -6.31861269e-07],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.015e-08 7.486e-08 ... nan nan</div><input id='attrs-5d366244-ed25-462e-958d-92f15689b3e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d366244-ed25-462e-958d-92f15689b3e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59878902-3ee7-4278-aad3-22cfa45e1a4d' class='xr-var-data-in' type='checkbox'><label for='data-59878902-3ee7-4278-aad3-22cfa45e1a4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-6</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[7.01540444e-08, 7.48610915e-08, 7.88278172e-08, ...,\n",
+       "          1.87821958e-09, 1.59875269e-09, 1.48401968e-09],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[1.92220077e-11, 2.04218864e-11, 2.14027546e-11, ...,\n",
+       "          2.24398493e-14, 1.74261376e-14, 1.41901498e-14],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[4.60553514e-12, 4.73854853e-12, 4.73959977e-12, ...,\n",
+       "          4.28393181e-14, 3.08440034e-14, 2.22561820e-14],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          8.63080416e-08, 6.92617661e-08, 5.46043601e-08],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[9.66313696e-11, 1.02290766e-10, 1.06982777e-10, ...,\n",
+       "          1.71576939e-08, 1.46726755e-08, 1.31231639e-08],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[6.32279689e-12, 6.67718094e-12, 7.01210617e-12, ...,\n",
+       "          8.25486179e-10, 6.98727021e-10, 6.33837427e-10],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>36.91 nan nan ... 3.88 nan nan</div><input id='attrs-c9344b28-be7f-4241-951a-2743b428e869' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9344b28-be7f-4241-951a-2743b428e869' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e93099b3-3b9e-44cc-aebf-211e3e8ce256' class='xr-var-data-in' type='checkbox'><label for='data-e93099b3-3b9e-44cc-aebf-211e3e8ce256' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-5 kg</dd><dt><span>long_name :</span></dt><dd>Number density rain path</dd></dl></div><div class='xr-var-data'><pre>array([[[3.69077530e+01,            nan,            nan],\n",
+       "        [6.73391819e-01,            nan,            nan],\n",
+       "        [6.18919075e-01,            nan,            nan],\n",
+       "        [6.18919075e-01,            nan,            nan],\n",
+       "        [2.29406312e-01,            nan,            nan],\n",
+       "        [1.67284310e-01,            nan,            nan],\n",
+       "        [1.07336678e-01,            nan,            nan]],\n",
+       "\n",
+       "       [[3.67975502e+01,            nan,            nan],\n",
+       "        [6.71401322e-01,            nan,            nan],\n",
+       "        [6.16400123e-01,            nan,            nan],\n",
+       "        [6.16400123e-01,            nan,            nan],\n",
+       "        [2.28601739e-01,            nan,            nan],\n",
+       "        [1.66589156e-01,            nan,            nan],\n",
+       "        [1.06941499e-01,            nan,            nan]],\n",
+       "\n",
+       "       [[3.66250458e+01,            nan,            nan],\n",
+       "        [6.67640865e-01,            nan,            nan],\n",
+       "        [6.12384379e-01,            nan,            nan],\n",
+       "        [6.12384379e-01,            nan,            nan],\n",
+       "...\n",
+       "        [7.84683838e+01,            nan,            nan],\n",
+       "        [2.30108547e+01,            nan,            nan],\n",
+       "        [1.35396729e+01,            nan,            nan],\n",
+       "        [4.12121153e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[1.55574424e+04,            nan,            nan],\n",
+       "        [9.53789673e+01,            nan,            nan],\n",
+       "        [7.58012161e+01,            nan,            nan],\n",
+       "        [7.58012161e+01,            nan,            nan],\n",
+       "        [2.24761887e+01,            nan,            nan],\n",
+       "        [1.31636772e+01,            nan,            nan],\n",
+       "        [3.98081136e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[1.52495342e+04,            nan,            nan],\n",
+       "        [9.27691345e+01,            nan,            nan],\n",
+       "        [7.38655090e+01,            nan,            nan],\n",
+       "        [7.38655090e+01,            nan,            nan],\n",
+       "        [2.21070080e+01,            nan,            nan],\n",
+       "        [1.29008636e+01,            nan,            nan],\n",
+       "        [3.87951922e+00,            nan,            nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.264e-05 -8.701e-05 ... nan nan</div><input id='attrs-1e1d72e3-2e30-4423-8faf-52be464310c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e1d72e3-2e30-4423-8faf-52be464310c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-340fa900-5113-4e2d-84a9-bcbf6116c40e' class='xr-var-data-in' type='checkbox'><label for='data-340fa900-5113-4e2d-84a9-bcbf6116c40e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-2 s-1</dd><dt><span>long_name :</span></dt><dd>Total flux of the Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[-8.2641134e-05, -8.7008324e-05, -8.6325475e-05, ...,\n",
+       "           4.0872269e-06,  3.7301782e-06,  3.3770255e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-2.0625239e-06, -2.1732415e-06, -2.1563601e-06, ...,\n",
+       "           1.4997832e-08,  1.4037685e-08,  1.3153557e-08],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-2.1656685e-06, -2.2804472e-06, -2.2628458e-06, ...,\n",
+       "           1.7631924e-08,  1.6153910e-08,  1.4941554e-08],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "           4.9964870e-05,  4.3513890e-05,  3.8445345e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-5.4100065e-07, -6.1758720e-07, -6.0977021e-07, ...,\n",
+       "           2.8392658e-05,  2.5283238e-05,  2.2187158e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-5.0088084e-07, -5.7133525e-07, -5.6435186e-07, ...,\n",
+       "           5.9500217e-06,  5.3174476e-06,  4.7211070e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.22e-16 2.236e-16 ... nan nan</div><input id='attrs-a3d68233-bca3-439e-8e0e-e6b42d97ae20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3d68233-bca3-439e-8e0e-e6b42d97ae20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9cc95c3-e902-4d2d-ac0b-50c500ac2c4c' class='xr-var-data-in' type='checkbox'><label for='data-e9cc95c3-e902-4d2d-ac0b-50c500ac2c4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.2204460e-16, 2.2362739e-16, 2.2486890e-16, ...,\n",
+       "          2.2372507e-16, 2.2360579e-16, 2.2349343e-16],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[2.2204460e-16, 2.2397325e-16, 2.2548194e-16, ...,\n",
+       "          2.2266781e-16, 2.2262173e-16, 2.2257943e-16],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[2.2204460e-16, 2.2435806e-16, 2.2615915e-16, ...,\n",
+       "          2.2273168e-16, 2.2267482e-16, 2.2262575e-16],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "...\n",
+       "        [[3.9879031e-16, 4.1335126e-16, 4.2587578e-16, ...,\n",
+       "          2.4388368e-16, 2.4249158e-16, 2.4108630e-16],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[3.7554593e-16, 3.8938062e-16, 4.0137673e-16, ...,\n",
+       "          2.2911876e-16, 2.2878299e-16, 2.2843370e-16],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[3.3423052e-16, 3.4655646e-16, 3.5728064e-16, ...,\n",
+       "          2.7610122e-16, 2.7304941e-16, 2.6992166e-16],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_3</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-d2fa2cc0-86b6-4226-924d-219e4f149cf6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2fa2cc0-86b6-4226-924d-219e4f149cf6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-840c5914-398a-455c-a4ed-e749c4e660a3' class='xr-var-data-in' type='checkbox'><label for='data-840c5914-398a-455c-a4ed-e749c4e660a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg3 kg-3</dd><dt><span>long_name :</span></dt><dd>Moment 3 of the Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_4</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-c95368ff-1bb7-4cc8-8c77-0241c6a9fdfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c95368ff-1bb7-4cc8-8c77-0241c6a9fdfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6e42c37-d554-43b6-b642-c8d1c41585e8' class='xr-var-data-in' type='checkbox'><label for='data-e6e42c37-d554-43b6-b642-c8d1c41585e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg4 kg-4</dd><dt><span>long_name :</span></dt><dd>Moment 4 of the Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-5.882e-18 -1.192e-18 ... nan nan</div><input id='attrs-ab544fe1-5e6e-4d10-a646-a82654d469eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab544fe1-5e6e-4d10-a646-a82654d469eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6f74aca-4d18-41e6-8ff2-a94db70f0a19' class='xr-var-data-in' type='checkbox'><label for='data-e6f74aca-4d18-41e6-8ff2-a94db70f0a19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[-5.88247011e-18, -1.19247670e-18, -1.19681837e-18, ...,\n",
+       "           1.15305690e-20,  1.07268039e-20,  1.00071592e-20],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-5.79815683e-18, -1.45152630e-18, -1.45543670e-18, ...,\n",
+       "           4.77716958e-21,  4.43206401e-21,  4.15000350e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-5.83872880e-18, -1.78690141e-18, -1.79049820e-18, ...,\n",
+       "           5.64627710e-21,  5.16263130e-21,  4.71428205e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           2.72837253e-19,  2.66806124e-19,  2.60538189e-19],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-7.17167576e-18, -8.24653907e-18, -8.18151523e-18, ...,\n",
+       "           7.68798011e-20,  7.71060092e-20,  7.70576837e-20],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-6.49633118e-18, -7.45220497e-18, -7.39610393e-18, ...,\n",
+       "           6.05926291e-19,  6.00330724e-19,  5.95907272e-19],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 4.027e-22 2.304e-21 ... nan nan</div><input id='attrs-aaee0446-81da-4030-9df4-b076c1ee830a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aaee0446-81da-4030-9df4-b076c1ee830a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-318f8627-8d7a-46f6-b265-3198189dfd55' class='xr-var-data-in' type='checkbox'><label for='data-318f8627-8d7a-46f6-b265-3198189dfd55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  4.02657199e-22,  2.30372244e-21, ...,\n",
+       "          -1.16953413e-21, -1.14102366e-21, -1.17543658e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  2.60299638e-22,  1.58521006e-21, ...,\n",
+       "          -3.88918145e-22, -3.24997339e-22, -2.87731222e-22],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  2.32686499e-23,  4.16562179e-22, ...,\n",
+       "          -7.11142935e-22, -5.97616233e-22, -4.40953455e-22],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -1.27565863e-20, -1.47042566e-20, -1.26346507e-20],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.11207751e-19,  1.97612841e-19, ...,\n",
+       "          -6.49325320e-22, -9.53422086e-22, -1.85437636e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.02804566e-19,  1.84055196e-19, ...,\n",
+       "          -1.19520369e-20, -8.93570742e-21, -1.28143161e-20],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.22e-17 1.439e-19 ... nan nan</div><input id='attrs-b39a201e-2e1b-470a-8662-8f14341d1824' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b39a201e-2e1b-470a-8662-8f14341d1824' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4607ba92-c442-4c3a-a22b-6b929aadf33b' class='xr-var-data-in' type='checkbox'><label for='data-4607ba92-c442-4c3a-a22b-6b929aadf33b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 2.22044608e-17,  1.43890885e-19,  1.03456339e-19, ...,\n",
+       "          -2.98230660e-21, -2.80853607e-21, -2.77556254e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 2.22044608e-17,  1.75330094e-19,  1.25726374e-19, ...,\n",
+       "          -1.15224149e-21, -1.05684864e-21, -1.00836487e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 2.22044608e-17,  2.10314845e-19,  1.50088613e-19, ...,\n",
+       "          -1.42096462e-21, -1.22710578e-21, -1.09481030e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -3.48034950e-20, -3.51311458e-20, -3.63822565e-20],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 3.75545954e-17,  1.25769803e-18,  9.99675481e-19, ...,\n",
+       "          -8.39438638e-21, -8.73202632e-21, -9.31879141e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 3.34230499e-17,  1.12054322e-18,  8.93679937e-19, ...,\n",
+       "          -7.62959925e-20, -7.81935449e-20, -7.78816073e-20],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.166e-37 6.78e-37 ... nan nan</div><input id='attrs-4b69285d-ab58-46ce-82b9-45dbca796869' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b69285d-ab58-46ce-82b9-45dbca796869' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5fc4a26-7b38-4672-85bb-a8172ccb7cef' class='xr-var-data-in' type='checkbox'><label for='data-a5fc4a26-7b38-4672-85bb-a8172ccb7cef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg2 kg-2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.0000000e+00, 2.1656054e-37, 6.7797053e-37, ...,\n",
+       "          1.1542481e-38, 1.0030577e-38, 9.6560366e-39],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[0.0000000e+00, 2.0457695e-37, 6.2866168e-37, ...,\n",
+       "          1.9484691e-39, 1.4900455e-39, 1.2097494e-39],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[0.0000000e+00, 1.6911261e-37, 4.8701700e-37, ...,\n",
+       "          3.2856708e-39, 2.3879331e-39, 1.7555047e-39],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "...\n",
+       "        [[4.6747638e-34, 4.9101804e-34, 5.1327855e-34, ...,\n",
+       "          1.9473859e-36, 1.9793629e-36, 1.9680729e-36],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[5.4105401e-34, 5.6271185e-34, 5.8222368e-34, ...,\n",
+       "          1.0040613e-37, 1.1197119e-37, 1.2679795e-37],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[2.8337466e-34, 2.9799792e-34, 3.1175986e-34, ...,\n",
+       "          6.7424524e-36, 7.3239870e-36, 8.3071692e-36],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.477e-12 nan nan ... nan nan</div><input id='attrs-8d00ad75-7b58-4d79-a976-5bbd286da8ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d00ad75-7b58-4d79-a976-5bbd286da8ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c874bd4-5a56-4735-b83a-0a8cbbe8d70b' class='xr-var-data-in' type='checkbox'><label for='data-8c874bd4-5a56-4735-b83a-0a8cbbe8d70b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>long_name :</span></dt><dd>Rain water specific humidity path</dd></dl></div><div class='xr-var-data'><pre>array([[[2.47702184e-12,            nan,            nan],\n",
+       "        [2.48390132e-12,            nan,            nan],\n",
+       "        [2.50920487e-12,            nan,            nan],\n",
+       "        [2.50920487e-12,            nan,            nan],\n",
+       "        [2.58992936e-12,            nan,            nan],\n",
+       "        [2.60257701e-12,            nan,            nan],\n",
+       "        [2.61850589e-12,            nan,            nan]],\n",
+       "\n",
+       "       [[2.47666818e-12,            nan,            nan],\n",
+       "        [2.48302138e-12,            nan,            nan],\n",
+       "        [2.50766573e-12,            nan,            nan],\n",
+       "        [2.50766573e-12,            nan,            nan],\n",
+       "        [2.58592995e-12,            nan,            nan],\n",
+       "        [2.59927171e-12,            nan,            nan],\n",
+       "        [2.61752447e-12,            nan,            nan]],\n",
+       "\n",
+       "       [[2.47584006e-12,            nan,            nan],\n",
+       "        [2.48183678e-12,            nan,            nan],\n",
+       "        [2.50563394e-12,            nan,            nan],\n",
+       "        [2.50563394e-12,            nan,            nan],\n",
+       "...\n",
+       "        [3.38543256e-12,            nan,            nan],\n",
+       "        [3.48320353e-12,            nan,            nan],\n",
+       "        [3.38130370e-12,            nan,            nan],\n",
+       "        [3.32723541e-12,            nan,            nan]],\n",
+       "\n",
+       "       [[3.39538640e-12,            nan,            nan],\n",
+       "        [3.16361715e-12,            nan,            nan],\n",
+       "        [3.34187279e-12,            nan,            nan],\n",
+       "        [3.34187279e-12,            nan,            nan],\n",
+       "        [3.44044433e-12,            nan,            nan],\n",
+       "        [3.33945480e-12,            nan,            nan],\n",
+       "        [3.29048247e-12,            nan,            nan]],\n",
+       "\n",
+       "       [[3.36109504e-12,            nan,            nan],\n",
+       "        [3.13615171e-12,            nan,            nan],\n",
+       "        [3.30498584e-12,            nan,            nan],\n",
+       "        [3.30498584e-12,            nan,            nan],\n",
+       "        [3.40443927e-12,            nan,            nan],\n",
+       "        [3.30392137e-12,            nan,            nan],\n",
+       "        [3.25813009e-12,            nan,            nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-5.882e-18 -1.192e-18 ... nan nan</div><input id='attrs-38be6403-acf5-4bb5-877b-14a753629386' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38be6403-acf5-4bb5-877b-14a753629386' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0992fe4-6456-4eaa-aabb-7e0398404042' class='xr-var-data-in' type='checkbox'><label for='data-a0992fe4-6456-4eaa-aabb-7e0398404042' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Total flux of the Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[-5.88247011e-18, -1.19207397e-18, -1.19451467e-18, ...,\n",
+       "           1.03610357e-20,  9.58578011e-21,  8.83172258e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-5.79815683e-18, -1.45126605e-18, -1.45385140e-18, ...,\n",
+       "           4.38825131e-21,  4.10706685e-21,  3.86227188e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-5.83872880e-18, -1.78687825e-18, -1.79008171e-18, ...,\n",
+       "           4.93513402e-21,  4.56501553e-21,  4.27332854e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           2.60080655e-19,  2.52101877e-19,  2.47903522e-19],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-7.17167576e-18, -8.13533208e-18, -7.98390260e-18, ...,\n",
+       "           7.62304837e-20,  7.61525930e-20,  7.52033063e-20],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-6.49633118e-18, -7.34940131e-18, -7.21204797e-18, ...,\n",
+       "           5.93974255e-19,  5.91395054e-19,  5.83093004e-19],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01287 0.01284 0.01281 ... nan nan</div><input id='attrs-6e683deb-a3e4-4607-943c-140b1e28c9dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e683deb-a3e4-4607-943c-140b1e28c9dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e57535c-5854-4416-af15-51ca22667605' class='xr-var-data-in' type='checkbox'><label for='data-7e57535c-5854-4416-af15-51ca22667605' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.01287029, 0.01283774, 0.01281243, ..., 0.0034652 ,\n",
+       "          0.00343089, 0.00339768],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01280969, 0.01277671, 0.01275115, ..., 0.00346343,\n",
+       "          0.00343073, 0.00339915],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01276983, 0.01273711, 0.0127118 , ..., 0.00346159,\n",
+       "          0.00342722, 0.00339585],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.01324308, 0.01323486, 0.01322745, ..., 0.00259943,\n",
+       "          0.00253973, 0.00248183],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01324369, 0.01323528, 0.01322762, ..., 0.00264176,\n",
+       "          0.00258578, 0.00253013],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01325383, 0.01324546, 0.01323776, ..., 0.00266066,\n",
+       "          0.00259785, 0.00253677],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_3</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-6.863e-14 -6.587e-14 ... nan nan</div><input id='attrs-cb695000-302c-4555-9596-83b071396555' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb695000-302c-4555-9596-83b071396555' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-785df82e-f077-496e-9323-7c5f91d39203' class='xr-var-data-in' type='checkbox'><label for='data-785df82e-f077-496e-9323-7c5f91d39203' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg3 kg-3</dd><dt><span>long_name :</span></dt><dd>Moment 3 of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[-6.86283644e-14, -6.58671590e-14, -5.68206879e-14, ...,\n",
+       "          -7.04244103e-16,  1.56713885e-15, -1.99117011e-15],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-1.20937697e-13, -1.35849760e-13, -1.47553668e-13, ...,\n",
+       "           2.98773910e-15,  1.43305015e-15,  9.20618935e-17],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-1.41049017e-15, -1.16092081e-15, -9.25048387e-16, ...,\n",
+       "           1.55012959e-15, -9.68085814e-16,  3.01423742e-16],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -1.70527926e-14, -2.71312039e-14, -2.87716391e-14],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 1.53458314e-14,  1.57980234e-14,  1.69095169e-14, ...,\n",
+       "           4.89087359e-16, -1.85081239e-14, -2.10561159e-14],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 3.32524298e-14,  3.34542608e-14,  3.34335695e-14, ...,\n",
+       "           1.15985661e-15, -5.79176735e-15, -2.28340652e-14],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_4</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.377e-16 1.562e-16 ... nan nan</div><input id='attrs-ed1ea705-0e3e-4971-b1aa-7f9ecc4653bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed1ea705-0e3e-4971-b1aa-7f9ecc4653bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae533c16-f740-4e83-b153-867525b59d81' class='xr-var-data-in' type='checkbox'><label for='data-ae533c16-f740-4e83-b153-867525b59d81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg4 kg-4</dd><dt><span>long_name :</span></dt><dd>Moment 4 of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.37723759e-16, 1.56152258e-16, 1.73939539e-16, ...,\n",
+       "          2.10297270e-18, 1.88720781e-18, 1.99201552e-18],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[2.87338259e-17, 3.32124861e-17, 3.75803141e-17, ...,\n",
+       "          1.93598872e-18, 1.73045729e-18, 1.35549094e-18],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[1.40590171e-18, 1.28933748e-18, 1.25269928e-18, ...,\n",
+       "          2.94173964e-18, 2.02081154e-18, 1.27786780e-18],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          4.42998331e-17, 3.69816438e-17, 2.91466783e-17],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[5.74116905e-18, 5.78255372e-18, 5.90687566e-18, ...,\n",
+       "          2.65940205e-17, 2.69076377e-17, 2.71175729e-17],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[5.55513448e-18, 5.67886291e-18, 5.80068470e-18, ...,\n",
+       "          3.08245447e-17, 2.82880119e-17, 2.94486721e-17],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.366e-05 2.446e-05 ... nan nan</div><input id='attrs-20b25273-e9f2-4ca4-92bf-488149ac6c55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20b25273-e9f2-4ca4-92bf-488149ac6c55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd0b3d91-743e-4e1d-b311-a4d2a6bb522f' class='xr-var-data-in' type='checkbox'><label for='data-dd0b3d91-743e-4e1d-b311-a4d2a6bb522f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.36589749e-05, 2.44553794e-05, 2.43059276e-05, ...,\n",
+       "          3.34273159e-06, 3.19907463e-06, 3.02014246e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[2.39176807e-05, 2.46977634e-05, 2.44985131e-05, ...,\n",
+       "          3.42919043e-06, 3.33454477e-06, 3.19206470e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[2.41104226e-05, 2.49883960e-05, 2.48563501e-05, ...,\n",
+       "          3.44928799e-06, 3.33063940e-06, 3.14382191e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          1.16189331e-05, 1.09115817e-05, 1.03148859e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[4.02791056e-06, 4.92575646e-06, 5.10493919e-06, ...,\n",
+       "          1.27992416e-05, 1.22783786e-05, 1.17636655e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[4.02239175e-06, 4.96608163e-06, 5.19141986e-06, ...,\n",
+       "          1.24142507e-05, 1.16805832e-05, 1.10967221e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -1.786e-07 ... nan nan</div><input id='attrs-699fd2bd-0a26-4234-a922-85dddcb9073c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-699fd2bd-0a26-4234-a922-85dddcb9073c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e89b4da-17bb-4c43-ad90-7b7ce70bd0a9' class='xr-var-data-in' type='checkbox'><label for='data-9e89b4da-17bb-4c43-ad90-7b7ce70bd0a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.0000000e+00, -1.7859433e-07, -3.6079166e-07, ...,\n",
+       "          -2.5410040e-07, -2.6241665e-07, -2.8879438e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 0.0000000e+00, -9.1905285e-08, -1.9050391e-07, ...,\n",
+       "          -2.3490503e-07, -2.0891366e-07, -1.9314109e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 0.0000000e+00, -2.1584393e-08, -4.8769127e-08, ...,\n",
+       "          -3.6157221e-07, -3.2599658e-07, -2.5277868e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          -6.2624730e-07, -6.6849412e-07, -5.5643682e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 0.0000000e+00, -1.3266053e-07, -2.4228478e-07, ...,\n",
+       "          -1.7362777e-07, -2.4139334e-07, -3.8677965e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 0.0000000e+00, -1.8173621e-07, -3.2947253e-07, ...,\n",
+       "          -3.0179135e-07, -2.0541707e-07, -2.5850099e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-9.193e-05 -2.959e-06 ... nan nan</div><input id='attrs-6536712c-940c-4256-a0c9-c52c4769af52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6536712c-940c-4256-a0c9-c52c4769af52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18f27159-5e39-4e98-bde9-0134b1ff6ec0' class='xr-var-data-in' type='checkbox'><label for='data-18f27159-5e39-4e98-bde9-0134b1ff6ec0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[-9.1927293e-05, -2.9594521e-06, -2.1085491e-06, ...,\n",
+       "          -8.5772155e-07, -8.3040692e-07, -8.2973361e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-9.3494098e-05, -2.9988857e-06, -2.1292781e-06, ...,\n",
+       "          -8.1757361e-07, -7.8938689e-07, -7.7220784e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-9.2585622e-05, -2.9747891e-06, -2.1093197e-06, ...,\n",
+       "          -8.5918646e-07, -7.8420959e-07, -7.2455032e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          -1.4925305e-06, -1.4474172e-06, -1.4499307e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-2.1521437e-05, -7.6519427e-07, -6.3771967e-07, ...,\n",
+       "          -1.3995486e-06, -1.3912368e-06, -1.4229577e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-2.1160449e-05, -7.6053402e-07, -6.4207347e-07, ...,\n",
+       "          -1.5704244e-06, -1.5269998e-06, -1.4548618e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.334e-09 1.002e-08 ... nan nan</div><input id='attrs-5ef445bb-b6ea-43b2-b5ef-1c03ccb2cee5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ef445bb-b6ea-43b2-b5ef-1c03ccb2cee5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28ba4734-b6d2-4227-936d-785037fe1f6c' class='xr-var-data-in' type='checkbox'><label for='data-28ba4734-b6d2-4227-936d-785037fe1f6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg2 kg-2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[9.3335766e-09, 1.0018840e-08, 1.0625603e-08, ...,\n",
+       "          8.3812363e-10, 7.9615309e-10, 8.1174178e-10],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[3.8155821e-09, 4.1742236e-09, 4.5006936e-09, ...,\n",
+       "          8.1970358e-10, 7.3845979e-10, 6.5589961e-10],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[7.0571343e-10, 6.8789358e-10, 6.8623168e-10, ...,\n",
+       "          9.8909736e-10, 8.3449442e-10, 6.8084488e-10],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "...\n",
+       "        [[1.6209363e-09, 1.6294991e-09, 1.6388580e-09, ...,\n",
+       "          3.7198344e-09, 3.4511771e-09, 3.1794165e-09],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[1.7287322e-09, 1.7309620e-09, 1.7380382e-09, ...,\n",
+       "          2.8781697e-09, 2.8805580e-09, 2.9996368e-09],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[1.1571061e-09, 1.1714539e-09, 1.1858753e-09, ...,\n",
+       "          3.0509042e-09, 2.9214273e-09, 3.0023859e-09],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>35.09 nan nan ... 35.23 nan nan</div><input id='attrs-9447f9ca-4f8b-43cd-92f8-4580a535e1f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9447f9ca-4f8b-43cd-92f8-4580a535e1f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa24b5e3-a288-4414-afc5-e541b8caea7e' class='xr-var-data-in' type='checkbox'><label for='data-aa24b5e3-a288-4414-afc5-e541b8caea7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>long_name :</span></dt><dd>Total water mixing ratio path</dd></dl></div><div class='xr-var-data'><pre>array([[[35.09441   ,         nan,         nan],\n",
+       "        [35.075603  ,         nan,         nan],\n",
+       "        [35.08698   ,         nan,         nan],\n",
+       "        [35.08698   ,         nan,         nan],\n",
+       "        [35.0945    ,         nan,         nan],\n",
+       "        [35.093426  ,         nan,         nan],\n",
+       "        [35.07809   ,         nan,         nan]],\n",
+       "\n",
+       "       [[34.916935  ,         nan,         nan],\n",
+       "        [34.89986   ,         nan,         nan],\n",
+       "        [34.911453  ,         nan,         nan],\n",
+       "        [34.911453  ,         nan,         nan],\n",
+       "        [34.9231    ,         nan,         nan],\n",
+       "        [34.924908  ,         nan,         nan],\n",
+       "        [34.90865   ,         nan,         nan]],\n",
+       "\n",
+       "       [[34.736526  ,         nan,         nan],\n",
+       "        [34.72115   ,         nan,         nan],\n",
+       "        [34.73328   ,         nan,         nan],\n",
+       "        [34.73328   ,         nan,         nan],\n",
+       "...\n",
+       "        [36.110443  ,         nan,         nan],\n",
+       "        [36.109676  ,         nan,         nan],\n",
+       "        [36.12029   ,         nan,         nan],\n",
+       "        [36.099503  ,         nan,         nan]],\n",
+       "\n",
+       "       [[35.64555   ,         nan,         nan],\n",
+       "        [35.613373  ,         nan,         nan],\n",
+       "        [35.591663  ,         nan,         nan],\n",
+       "        [35.591663  ,         nan,         nan],\n",
+       "        [35.586906  ,         nan,         nan],\n",
+       "        [35.60393   ,         nan,         nan],\n",
+       "        [35.586308  ,         nan,         nan]],\n",
+       "\n",
+       "       [[35.284374  ,         nan,         nan],\n",
+       "        [35.255238  ,         nan,         nan],\n",
+       "        [35.230633  ,         nan,         nan],\n",
+       "        [35.230633  ,         nan,         nan],\n",
+       "        [35.22034   ,         nan,         nan],\n",
+       "        [35.242916  ,         nan,         nan],\n",
+       "        [35.229443  ,         nan,         nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.366e-05 2.428e-05 ... nan nan</div><input id='attrs-8d2d8707-bf65-4fc0-b338-56febaca8bba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d2d8707-bf65-4fc0-b338-56febaca8bba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dc2d82e-d6df-406c-bd50-ebe8480c2ae1' class='xr-var-data-in' type='checkbox'><label for='data-9dc2d82e-d6df-406c-bd50-ebe8480c2ae1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Total flux of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.36589749e-05, 2.42767856e-05, 2.39451347e-05, ...,\n",
+       "          3.08863127e-06, 2.93665812e-06, 2.73134810e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[2.39176807e-05, 2.46058571e-05, 2.43080085e-05, ...,\n",
+       "          3.19428545e-06, 3.12563066e-06, 2.99892349e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[2.41104226e-05, 2.49668101e-05, 2.48075794e-05, ...,\n",
+       "          3.08771564e-06, 3.00464239e-06, 2.89104287e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          1.09926868e-05, 1.02430868e-05, 9.75844978e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[4.02791056e-06, 4.79309665e-06, 4.86265481e-06, ...,\n",
+       "          1.26256127e-05, 1.20369850e-05, 1.13768847e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[4.02239175e-06, 4.78434504e-06, 4.86194767e-06, ...,\n",
+       "          1.21124604e-05, 1.14751665e-05, 1.08382219e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>301.9 301.9 302.0 ... nan nan nan</div><input id='attrs-016af10e-8c8a-4630-b003-fc04669dfc6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-016af10e-8c8a-4630-b003-fc04669dfc6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4a59dc6-9f38-4194-a842-aff8c24cc82f' class='xr-var-data-in' type='checkbox'><label for='data-e4a59dc6-9f38-4194-a842-aff8c24cc82f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[301.8982 , 301.92798, 301.95386, ..., 315.44577, 315.50064,\n",
+       "          315.55667],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[301.96854, 301.9997 , 302.02646, ..., 315.45566, 315.50854,\n",
+       "          315.56235],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[302.00003, 302.03192, 302.05902, ..., 315.4506 , 315.5055 ,\n",
+       "          315.55826],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[305.51022, 305.59842, 305.67416, ..., 316.77048, 316.8988 ,\n",
+       "          317.02823],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[305.4972 , 305.58676, 305.66403, ..., 316.71423, 316.8317 ,\n",
+       "          316.95273],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[305.46396, 305.5525 , 305.62918, ..., 316.69632, 316.82654,\n",
+       "          316.95792],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_3</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0001191 0.0001081 ... nan nan</div><input id='attrs-3f8f02fb-d44f-4860-bf74-c1d8fbb0216a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f8f02fb-d44f-4860-bf74-c1d8fbb0216a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba7db463-c28d-4b6b-b8e8-026604879be9' class='xr-var-data-in' type='checkbox'><label for='data-ba7db463-c28d-4b6b-b8e8-026604879be9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K3</dd><dt><span>long_name :</span></dt><dd>Moment 3 of the Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 1.19082608e-04,  1.08137996e-04,  7.05633138e-05, ...,\n",
+       "           1.02648119e-05,  6.94127721e-07,  1.85313511e-05],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 1.43887548e-04,  1.68289713e-04,  1.91936459e-04, ...,\n",
+       "          -7.71501436e-06, -1.76041738e-06,  6.52918015e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 1.24668650e-05,  1.17692034e-05,  1.09536277e-05, ...,\n",
+       "           1.86890259e-06,  1.10436013e-05,  5.85230237e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           3.54481715e-04,  4.74084984e-04,  5.08841767e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-1.95707171e-03, -1.69025920e-03, -1.57942355e-03, ...,\n",
+       "           9.09579467e-05,  2.67619384e-04,  2.93127930e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-1.16207253e-03, -1.12733431e-03, -1.08166819e-03, ...,\n",
+       "           8.50136639e-05,  1.56937647e-04,  3.27268732e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_4</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0007332 0.0008012 ... nan nan</div><input id='attrs-74d05963-f636-4777-8a09-7f96e8fae7f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74d05963-f636-4777-8a09-7f96e8fae7f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-475e1c18-e92c-4615-9110-3df328981f84' class='xr-var-data-in' type='checkbox'><label for='data-475e1c18-e92c-4615-9110-3df328981f84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K4</dd><dt><span>long_name :</span></dt><dd>Moment 4 of the Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[7.33237190e-04, 8.01223796e-04, 8.65319103e-04, ...,\n",
+       "          1.25900433e-05, 1.34630964e-05, 1.80966836e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[1.00472163e-04, 1.09841116e-04, 1.18703116e-04, ...,\n",
+       "          1.27009125e-05, 1.38067408e-05, 1.31977240e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[7.21509650e-06, 7.25783457e-06, 7.25815653e-06, ...,\n",
+       "          1.68208189e-05, 1.39780577e-05, 1.10715519e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          8.75383615e-04, 8.69894866e-04, 8.19602807e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[9.69555171e-04, 7.56952039e-04, 6.74618350e-04, ...,\n",
+       "          4.61318094e-04, 5.60232962e-04, 6.52994961e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[6.04892382e-04, 5.74022008e-04, 5.32370759e-04, ...,\n",
+       "          5.15479071e-04, 5.44183247e-04, 6.62755396e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.01687 -0.02254 ... nan nan</div><input id='attrs-b238a98c-8053-4736-a044-9bd9e11d90ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b238a98c-8053-4736-a044-9bd9e11d90ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d97f9866-cbfe-4cbe-8e40-7873a8741d39' class='xr-var-data-in' type='checkbox'><label for='data-d97f9866-cbfe-4cbe-8e40-7873a8741d39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m s-1</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[-1.6871180e-02, -2.2537628e-02, -2.4876773e-02, ...,\n",
+       "          -5.3352290e-03, -5.3698174e-03, -5.3868666e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-1.7886596e-02, -2.3501547e-02, -2.5716608e-02, ...,\n",
+       "          -5.5510304e-03, -5.6670480e-03, -5.7420996e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-1.8883569e-02, -2.4556058e-02, -2.6759094e-02, ...,\n",
+       "          -5.4966123e-03, -5.5814814e-03, -5.5973320e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          -2.4973677e-02, -2.4360815e-02, -2.3956386e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-4.4890106e-02, -5.2938614e-02, -5.2339327e-02, ...,\n",
+       "          -2.6878783e-02, -2.6723184e-02, -2.6560239e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-4.5115355e-02, -5.3048674e-02, -5.2460879e-02, ...,\n",
+       "          -2.5752222e-02, -2.5138177e-02, -2.4810081e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0002958 0.0005635 ... nan nan</div><input id='attrs-afdfc17d-b486-47cd-ad79-9fd2666fd1f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afdfc17d-b486-47cd-ad79-9fd2666fd1f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3bab51c-494b-40a1-a682-e284b0b6bee7' class='xr-var-data-in' type='checkbox'><label for='data-b3bab51c-494b-40a1-a682-e284b0b6bee7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  2.95782025e-04,  5.63540787e-04, ...,\n",
+       "           4.08346794e-04,  4.40372387e-04,  5.08862955e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.39292955e-04,  2.68803560e-04, ...,\n",
+       "           4.30678105e-04,  3.89658991e-04,  3.65182961e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  4.30848741e-05,  8.13320294e-05, ...,\n",
+       "           6.11364783e-04,  5.90903859e-04,  5.19957393e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           1.28881005e-03,  1.46214233e-03,  1.27503776e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  3.44798871e-04,  6.36458280e-04, ...,\n",
+       "           3.31949908e-04,  4.74436121e-04,  7.91185594e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  3.59592028e-04,  6.83759805e-04, ...,\n",
+       "           5.99523366e-04,  4.53586021e-04,  6.19524217e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.07533 0.002707 ... nan nan</div><input id='attrs-147e7667-71b6-4ab7-93f2-4781be3f1552' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-147e7667-71b6-4ab7-93f2-4781be3f1552' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5821df0d-0700-4797-bf55-6143541f8b31' class='xr-var-data-in' type='checkbox'><label for='data-5821df0d-0700-4797-bf55-6143541f8b31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 7.53307045e-02,  2.70666461e-03,  2.15476588e-03, ...,\n",
+       "           1.37130928e-03,  1.40075746e-03,  1.49094232e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 7.97946900e-02,  2.83365906e-03,  2.23094551e-03, ...,\n",
+       "           1.32258143e-03,  1.34466635e-03,  1.39815826e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 8.24372470e-02,  2.89949193e-03,  2.25984608e-03, ...,\n",
+       "           1.37308950e-03,  1.31893356e-03,  1.29700371e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           3.20914481e-03,  3.23564466e-03,  3.37523222e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 2.50014007e-01,  8.14160611e-03,  6.44054124e-03, ...,\n",
+       "           2.93585868e-03,  3.02611780e-03,  3.21307569e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 2.47533903e-01,  8.04916769e-03,  6.39063865e-03, ...,\n",
+       "           3.25494842e-03,  3.28469952e-03,  3.25188995e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.02109 0.02211 0.02302 ... nan nan</div><input id='attrs-326d1221-32ff-4e85-afee-1e0a951e558d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-326d1221-32ff-4e85-afee-1e0a951e558d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e8e3a0d-0d88-4600-8145-13de614cd928' class='xr-var-data-in' type='checkbox'><label for='data-9e8e3a0d-0d88-4600-8145-13de614cd928' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.02109147, 0.02210594, 0.0230155 , ..., 0.00205197,\n",
+       "          0.00212711, 0.00243432],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00717329, 0.00751971, 0.00783541, ..., 0.00210765,\n",
+       "          0.00206895, 0.00201906],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00162212, 0.00163538, 0.00164291, ..., 0.00237253,\n",
+       "          0.0021978 , 0.00200051],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.00829388, 0.00811297, 0.00791981, ..., 0.01647351,\n",
+       "          0.01665903, 0.01674169],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.0121158 , 0.01144692, 0.01085408, ..., 0.01206279,\n",
+       "          0.01312798, 0.01472034],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01039871, 0.00998918, 0.0094676 , ..., 0.01247361,\n",
+       "          0.01291636, 0.01432262],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.368e+06 nan nan ... nan nan</div><input id='attrs-ebc02d17-d716-46d5-8873-f82ad33fdd83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebc02d17-d716-46d5-8873-f82ad33fdd83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd0f9fee-83c0-4f6d-b32b-4588f473a36b' class='xr-var-data-in' type='checkbox'><label for='data-fd0f9fee-83c0-4f6d-b32b-4588f473a36b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K kg m-2</dd><dt><span>long_name :</span></dt><dd>Liquid water potential temperature path</dd></dl></div><div class='xr-var-data'><pre>array([[[3368451.2   ,          nan,          nan],\n",
+       "        [3368494.2   ,          nan,          nan],\n",
+       "        [3368427.8   ,          nan,          nan],\n",
+       "        [3368427.8   ,          nan,          nan],\n",
+       "        [3368492.    ,          nan,          nan],\n",
+       "        [3368512.8   ,          nan,          nan],\n",
+       "        [3368517.8   ,          nan,          nan]],\n",
+       "\n",
+       "       [[3368989.8   ,          nan,          nan],\n",
+       "        [3369042.    ,          nan,          nan],\n",
+       "        [3368985.2   ,          nan,          nan],\n",
+       "        [3368985.2   ,          nan,          nan],\n",
+       "        [3369041.2   ,          nan,          nan],\n",
+       "        [3369012.    ,          nan,          nan],\n",
+       "        [3368941.2   ,          nan,          nan]],\n",
+       "\n",
+       "       [[3369425.    ,          nan,          nan],\n",
+       "        [3369521.2   ,          nan,          nan],\n",
+       "        [3369583.2   ,          nan,          nan],\n",
+       "        [3369583.2   ,          nan,          nan],\n",
+       "...\n",
+       "        [3384003.8   ,          nan,          nan],\n",
+       "        [3383938.    ,          nan,          nan],\n",
+       "        [3384021.8   ,          nan,          nan],\n",
+       "        [3384074.2   ,          nan,          nan]],\n",
+       "\n",
+       "       [[3383881.2   ,          nan,          nan],\n",
+       "        [3384029.2   ,          nan,          nan],\n",
+       "        [3383773.2   ,          nan,          nan],\n",
+       "        [3383773.2   ,          nan,          nan],\n",
+       "        [3383835.    ,          nan,          nan],\n",
+       "        [3383924.    ,          nan,          nan],\n",
+       "        [3383843.8   ,          nan,          nan]],\n",
+       "\n",
+       "       [[3383808.    ,          nan,          nan],\n",
+       "        [3383709.2   ,          nan,          nan],\n",
+       "        [3383818.8   ,          nan,          nan],\n",
+       "        [3383818.8   ,          nan,          nan],\n",
+       "        [3383766.2   ,          nan,          nan],\n",
+       "        [3383831.    ,          nan,          nan],\n",
+       "        [3383922.2   ,          nan,          nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.01687 -0.02224 ... nan nan</div><input id='attrs-d84a23ab-244a-459f-9899-8d576e15248b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d84a23ab-244a-459f-9899-8d576e15248b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d747ae8c-1ff9-446f-a593-afd8951dab37' class='xr-var-data-in' type='checkbox'><label for='data-d747ae8c-1ff9-446f-a593-afd8951dab37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m s-1</dd><dt><span>long_name :</span></dt><dd>Total flux of the Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[-0.01687118, -0.02224185, -0.02431323, ..., -0.00492688,\n",
+       "          -0.00492944, -0.004878  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.0178866 , -0.02336225, -0.0254478 , ..., -0.00512035,\n",
+       "          -0.00527739, -0.00537692],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.01888357, -0.02451297, -0.02667776, ..., -0.00488525,\n",
+       "          -0.00499058, -0.00507737],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[-0.04513543, -0.05275468, -0.05185753, ..., -0.02368487,\n",
+       "          -0.02289867, -0.02268135],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.04489011, -0.05259382, -0.05170287, ..., -0.02654684,\n",
+       "          -0.02624875, -0.02576905],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.04511536, -0.05268908, -0.05177712, ..., -0.0251527 ,\n",
+       "          -0.02468459, -0.02419056],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_bot</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-9a26ac4b-f752-424c-ba08-f0e6f1ac932a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a26ac4b-f752-424c-ba08-f0e6f1ac932a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b67a5cc-eac4-4fe6-96aa-6128a3d6bc52' class='xr-var-data-in' type='checkbox'><label for='data-5b67a5cc-eac4-4fe6-96aa-6128a3d6bc52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-3</dd><dt><span>long_name :</span></dt><dd>Surface Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "...\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_bot</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7e10557f-4e0a-4fe1-ac52-ca95079a6479' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e10557f-4e0a-4fe1-ac52-ca95079a6479' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc20b90e-4a30-4f91-9349-93d0a4c352ee' class='xr-var-data-in' type='checkbox'><label for='data-fc20b90e-4a30-4f91-9349-93d0a4c352ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Surface Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "...\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_bot</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01379 0.01379 ... 0.01347 0.01347</div><input id='attrs-b71aa6fa-c750-4d6d-9213-b01e089c59be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b71aa6fa-c750-4d6d-9213-b01e089c59be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04f86f6e-19e1-444e-bc75-28a9203f7c32' class='xr-var-data-in' type='checkbox'><label for='data-04f86f6e-19e1-444e-bc75-28a9203f7c32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Surface Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[0.01378956, 0.01378956, 0.01378956],\n",
+       "        [0.01374463, 0.01374463, 0.01374463],\n",
+       "        [0.01369569, 0.01369569, 0.01369569],\n",
+       "        [0.01369569, 0.01369569, 0.01369569],\n",
+       "        [0.01372141, 0.01372141, 0.01372141],\n",
+       "        [0.01373716, 0.01373716, 0.01373716],\n",
+       "        [0.01372085, 0.01372085, 0.01372085]],\n",
+       "\n",
+       "       [[0.01435342, 0.01435342, 0.01435342],\n",
+       "        [0.01431251, 0.01431251, 0.01431251],\n",
+       "        [0.01424903, 0.01424903, 0.01424903],\n",
+       "        [0.01424903, 0.01424903, 0.01424903],\n",
+       "        [0.01428383, 0.01428383, 0.01428383],\n",
+       "        [0.01429186, 0.01429186, 0.01429186],\n",
+       "        [0.01426818, 0.01426818, 0.01426818]],\n",
+       "\n",
+       "       [[0.01495252, 0.01495252, 0.01495252],\n",
+       "        [0.01490177, 0.01490177, 0.01490177],\n",
+       "        [0.01484153, 0.01484153, 0.01484153],\n",
+       "        [0.01484153, 0.01484153, 0.01484153],\n",
+       "...\n",
+       "        [0.01363706, 0.01363706, 0.01363706],\n",
+       "        [0.01362747, 0.01362747, 0.01362747],\n",
+       "        [0.01362967, 0.01362967, 0.01362967],\n",
+       "        [0.01363285, 0.01363285, 0.01363285]],\n",
+       "\n",
+       "       [[0.01343158, 0.01343158, 0.01343158],\n",
+       "        [0.01349973, 0.01349973, 0.01349973],\n",
+       "        [0.01348393, 0.01348393, 0.01348393],\n",
+       "        [0.01348393, 0.01348393, 0.01348393],\n",
+       "        [0.01346918, 0.01346918, 0.01346918],\n",
+       "        [0.01347318, 0.01347318, 0.01347318],\n",
+       "        [0.01347779, 0.01347779, 0.01347779]],\n",
+       "\n",
+       "       [[0.0134158 , 0.0134158 , 0.0134158 ],\n",
+       "        [0.01348866, 0.01348866, 0.01348866],\n",
+       "        [0.01347347, 0.01347347, 0.01347347],\n",
+       "        [0.01347347, 0.01347347, 0.01347347],\n",
+       "        [0.0134562 , 0.0134562 , 0.0134562 ],\n",
+       "        [0.01345891, 0.01345891, 0.01345891],\n",
+       "        [0.01346543, 0.01346543, 0.01346543]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_bot</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>301.1 301.1 301.1 ... 303.0 303.0</div><input id='attrs-3c929ddc-9d59-4632-8364-a9dd76bdefb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c929ddc-9d59-4632-8364-a9dd76bdefb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5369dac7-05f3-4b2f-90a5-36d2e32e07fd' class='xr-var-data-in' type='checkbox'><label for='data-5369dac7-05f3-4b2f-90a5-36d2e32e07fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Surface Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[301.1449 , 301.1449 , 301.1449 ],\n",
+       "        [301.1706 , 301.1706 , 301.1706 ],\n",
+       "        [301.17566, 301.17566, 301.17566],\n",
+       "        [301.17566, 301.17566, 301.17566],\n",
+       "        [301.17178, 301.17178, 301.17178],\n",
+       "        [301.1533 , 301.1533 , 301.1533 ],\n",
+       "        [301.15213, 301.15213, 301.15213]],\n",
+       "\n",
+       "       [[302.35922, 302.35922, 302.35922],\n",
+       "        [302.3748 , 302.3748 , 302.3748 ],\n",
+       "        [302.37445, 302.37445, 302.37445],\n",
+       "        [302.37445, 302.37445, 302.37445],\n",
+       "        [302.3777 , 302.3777 , 302.3777 ],\n",
+       "        [302.3667 , 302.3667 , 302.3667 ],\n",
+       "        [302.36658, 302.36658, 302.36658]],\n",
+       "\n",
+       "       [[303.74527, 303.74527, 303.74527],\n",
+       "        [303.72552, 303.72552, 303.72552],\n",
+       "        [303.73523, 303.73523, 303.73523],\n",
+       "        [303.73523, 303.73523, 303.73523],\n",
+       "...\n",
+       "        [303.7111 , 303.7111 , 303.7111 ],\n",
+       "        [303.75247, 303.75247, 303.75247],\n",
+       "        [303.7174 , 303.7174 , 303.7174 ],\n",
+       "        [303.70557, 303.70557, 303.70557]],\n",
+       "\n",
+       "       [[303.35815, 303.35815, 303.35815],\n",
+       "        [303.3218 , 303.3218 , 303.3218 ],\n",
+       "        [303.28793, 303.28793, 303.28793],\n",
+       "        [303.28793, 303.28793, 303.28793],\n",
+       "        [303.34378, 303.34378, 303.34378],\n",
+       "        [303.30133, 303.30133, 303.30133],\n",
+       "        [303.29636, 303.29636, 303.29636]],\n",
+       "\n",
+       "       [[303.04904, 303.04904, 303.04904],\n",
+       "        [303.00464, 303.00464, 303.00464],\n",
+       "        [302.97113, 302.97113, 302.97113],\n",
+       "        [302.97113, 302.97113, 302.97113],\n",
+       "        [303.02817, 303.02817, 303.02817],\n",
+       "        [302.99704, 302.99704, 302.99704],\n",
+       "        [302.98862, 302.98862, 302.98862]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhoref</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.099 1.098 1.097 ... 0.7671 0.7642</div><input id='attrs-4e26903d-3320-42d9-b269-204f08e7b82c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e26903d-3320-42d9-b269-204f08e7b82c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c527f0c3-ec39-4c47-a283-d8352ba918bf' class='xr-var-data-in' type='checkbox'><label for='data-c527f0c3-ec39-4c47-a283-d8352ba918bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>Full level basic state density</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521]],\n",
+       "\n",
+       "        [[1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521]],\n",
+       "\n",
+       "        [[1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521]],\n",
+       "...\n",
+       "        [[1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521]],\n",
+       "\n",
+       "        [[1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521]],\n",
+       "\n",
+       "        [[1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhorefh</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.1 1.099 1.098 ... 0.7656 0.7627</div><input id='attrs-d1f617e4-12f9-4c62-9791-74a406ec7273' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1f617e4-12f9-4c62-9791-74a406ec7273' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b02e0ef-0fb5-4475-9c3d-a6ecec8c4249' class='xr-var-data-in' type='checkbox'><label for='data-6b02e0ef-0fb5-4475-9c3d-a6ecec8c4249' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>Half level basic state density</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ]],\n",
+       "\n",
+       "        [[1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ]],\n",
+       "\n",
+       "        [[1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ]],\n",
+       "...\n",
+       "        [[1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ]],\n",
+       "\n",
+       "        [[1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ]],\n",
+       "\n",
+       "        [[1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thvref</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>308.7 308.7 308.7 ... 317.2 317.3</div><input id='attrs-86a312d9-9b1e-448b-8f3b-c73143a8de86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86a312d9-9b1e-448b-8f3b-c73143a8de86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ae79fc0-cd3f-4290-9e80-bacd6c03f0a2' class='xr-var-data-in' type='checkbox'><label for='data-7ae79fc0-cd3f-4290-9e80-bacd6c03f0a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Full level basic state virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ]],\n",
+       "...\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thvrefh</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>308.7 308.7 308.7 ... 317.2 317.3</div><input id='attrs-31eb56aa-6cbf-4869-9bb6-f307efe04677' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31eb56aa-6cbf-4869-9bb6-f307efe04677' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-246f4d38-d179-4a6d-8d3b-a8666f50c0ee' class='xr-var-data-in' type='checkbox'><label for='data-246f4d38-d179-4a6d-8d3b-a8666f50c0ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Half level basic state virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ]],\n",
+       "...\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phydro</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.657e+04 9.645e+04 ... 6.045e+04</div><input id='attrs-80e39168-47c7-4232-aa81-807e6526dbf7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80e39168-47c7-4232-aa81-807e6526dbf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf8e7a47-594a-458a-8cc5-bc11f18774c3' class='xr-var-data-in' type='checkbox'><label for='data-bf8e7a47-594a-458a-8cc5-bc11f18774c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>long_name :</span></dt><dd>Full level hydrostatic pressure</dd></dl></div><div class='xr-var-data'><pre>array([[[[96566.07 , 96445.625, 96314.35 , ..., 60917.598, 60614.652,\n",
+       "          60312.83 ],\n",
+       "         [96566.07 , 96445.625, 96314.35 , ..., 60917.598, 60614.652,\n",
+       "          60312.83 ],\n",
+       "         [96566.07 , 96445.625, 96314.35 , ..., 60917.598, 60614.652,\n",
+       "          60312.83 ]],\n",
+       "\n",
+       "        [[96566.09 , 96445.66 , 96314.414, ..., 60917.777, 60614.832,\n",
+       "          60313.02 ],\n",
+       "         [96566.09 , 96445.66 , 96314.414, ..., 60917.777, 60614.832,\n",
+       "          60313.02 ],\n",
+       "         [96566.09 , 96445.66 , 96314.414, ..., 60917.777, 60614.832,\n",
+       "          60313.02 ]],\n",
+       "\n",
+       "        [[96566.09 , 96445.664, 96314.44 , ..., 60916.824, 60613.887,\n",
+       "          60312.066],\n",
+       "         [96566.09 , 96445.664, 96314.44 , ..., 60916.824, 60613.887,\n",
+       "          60312.066],\n",
+       "         [96566.09 , 96445.664, 96314.44 , ..., 60916.824, 60613.887,\n",
+       "          60312.066]],\n",
+       "...\n",
+       "        [[96546.23 , 96427.26 , 96297.625, ..., 61050.668, 60748.39 ,\n",
+       "          60447.297],\n",
+       "         [96546.23 , 96427.26 , 96297.625, ..., 61050.668, 60748.39 ,\n",
+       "          60447.297],\n",
+       "         [96546.23 , 96427.26 , 96297.625, ..., 61050.668, 60748.39 ,\n",
+       "          60447.297]],\n",
+       "\n",
+       "        [[96546.22 , 96427.24 , 96297.6  , ..., 61050.344, 60748.02 ,\n",
+       "          60446.863],\n",
+       "         [96546.22 , 96427.24 , 96297.6  , ..., 61050.344, 60748.02 ,\n",
+       "          60446.863],\n",
+       "         [96546.22 , 96427.24 , 96297.6  , ..., 61050.344, 60748.02 ,\n",
+       "          60446.863]],\n",
+       "\n",
+       "        [[96546.21 , 96427.22 , 96297.56 , ..., 61049.152, 60746.816,\n",
+       "          60445.676],\n",
+       "         [96546.21 , 96427.22 , 96297.56 , ..., 61049.152, 60746.816,\n",
+       "          60445.676],\n",
+       "         [96546.21 , 96427.22 , 96297.56 , ..., 61049.152, 60746.816,\n",
+       "          60445.676]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phydroh</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.668e+04 9.651e+04 ... 6.03e+04</div><input id='attrs-48f838d9-0eac-4324-bc62-ae742f66fa1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48f838d9-0eac-4324-bc62-ae742f66fa1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d82919f-7294-4eab-a986-c75ec23b3125' class='xr-var-data-in' type='checkbox'><label for='data-6d82919f-7294-4eab-a986-c75ec23b3125' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>long_name :</span></dt><dd>Half level hydrostatic pressure</dd></dl></div><div class='xr-var-data'><pre>array([[[[96675.9  , 96506.03 , 96380.164, ..., 60766.13 , 60463.75 ,\n",
+       "          60162.484],\n",
+       "         [96675.9  , 96506.03 , 96380.164, ..., 60766.13 , 60463.75 ,\n",
+       "          60162.484],\n",
+       "         [96675.9  , 96506.03 , 96380.164, ..., 60766.13 , 60463.75 ,\n",
+       "          60162.484]],\n",
+       "\n",
+       "        [[96675.9  , 96506.06 , 96380.23 , ..., 60766.3  , 60463.934,\n",
+       "          60162.676],\n",
+       "         [96675.9  , 96506.06 , 96380.23 , ..., 60766.3  , 60463.934,\n",
+       "          60162.676],\n",
+       "         [96675.9  , 96506.06 , 96380.23 , ..., 60766.3  , 60463.934,\n",
+       "          60162.676]],\n",
+       "\n",
+       "        [[96675.9  , 96506.086, 96380.25 , ..., 60765.375, 60462.996,\n",
+       "          60161.746],\n",
+       "         [96675.9  , 96506.086, 96380.25 , ..., 60765.375, 60462.996,\n",
+       "          60161.746],\n",
+       "         [96675.9  , 96506.086, 96380.25 , ..., 60765.375, 60462.996,\n",
+       "          60161.746]],\n",
+       "...\n",
+       "        [[96655.35 , 96487.56 , 96363.25 , ..., 60899.87 , 60598.184,\n",
+       "          60297.676],\n",
+       "         [96655.35 , 96487.56 , 96363.25 , ..., 60899.87 , 60598.184,\n",
+       "          60297.676],\n",
+       "         [96655.35 , 96487.56 , 96363.25 , ..., 60899.87 , 60598.184,\n",
+       "          60297.676]],\n",
+       "\n",
+       "        [[96655.35 , 96487.555, 96363.24 , ..., 60899.52 , 60597.777,\n",
+       "          60297.207],\n",
+       "         [96655.35 , 96487.555, 96363.24 , ..., 60899.52 , 60597.777,\n",
+       "          60297.207],\n",
+       "         [96655.35 , 96487.555, 96363.24 , ..., 60899.52 , 60597.777,\n",
+       "          60297.207]],\n",
+       "\n",
+       "        [[96655.35 , 96487.54 , 96363.21 , ..., 60898.332, 60596.594,\n",
+       "          60296.03 ],\n",
+       "         [96655.35 , 96487.54 , 96363.21 , ..., 60898.332, 60596.594,\n",
+       "          60296.03 ],\n",
+       "         [96655.35 , 96487.54 , 96363.21 , ..., 60898.332, 60596.594,\n",
+       "          60296.03 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.117 1.116 1.115 ... 0.769 0.7659</div><input id='attrs-97bdc6f9-f47d-4c9d-8bcd-d3988debd9a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97bdc6f9-f47d-4c9d-8bcd-d3988debd9a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db63ebde-6f2e-4a53-b86f-5228c32335db' class='xr-var-data-in' type='checkbox'><label for='data-db63ebde-6f2e-4a53-b86f-5228c32335db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>Full level density</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.1167909 , 1.1157075 , 1.114544  , ..., 0.7734673 ,\n",
+       "          0.77059954, 0.7677355 ],\n",
+       "         [1.1167909 , 1.1157075 , 1.114544  , ..., 0.7734673 ,\n",
+       "          0.77059954, 0.7677355 ],\n",
+       "         [1.1167909 , 1.1157075 , 1.114544  , ..., 0.7734673 ,\n",
+       "          0.77059954, 0.7677355 ]],\n",
+       "\n",
+       "        [[1.1165718 , 1.1154839 , 1.1143175 , ..., 0.7734456 ,\n",
+       "          0.7705819 , 0.7677228 ],\n",
+       "         [1.1165718 , 1.1154839 , 1.1143175 , ..., 0.7734456 ,\n",
+       "          0.7705819 , 0.7677228 ],\n",
+       "         [1.1165718 , 1.1154839 , 1.1143175 , ..., 0.7734456 ,\n",
+       "          0.7705819 , 0.7677228 ]],\n",
+       "\n",
+       "        [[1.1164823 , 1.1153917 , 1.1142241 , ..., 0.7734502 ,\n",
+       "          0.7705824 , 0.76772565],\n",
+       "         [1.1164823 , 1.1153917 , 1.1142241 , ..., 0.7734502 ,\n",
+       "          0.7705824 , 0.76772565],\n",
+       "         [1.1164823 , 1.1153917 , 1.1142241 , ..., 0.7734502 ,\n",
+       "          0.7705824 , 0.76772565]],\n",
+       "...\n",
+       "        [[1.1031774 , 1.1018934 , 1.1005671 , ..., 0.7718397 ,\n",
+       "          0.7688239 , 0.765814  ],\n",
+       "         [1.1031774 , 1.1018934 , 1.1005671 , ..., 0.7718397 ,\n",
+       "          0.7688239 , 0.765814  ],\n",
+       "         [1.1031774 , 1.1018934 , 1.1005671 , ..., 0.7718397 ,\n",
+       "          0.7688239 , 0.765814  ]],\n",
+       "\n",
+       "        [[1.1032239 , 1.101935  , 1.1006032 , ..., 0.7719539 ,\n",
+       "          0.76896197, 0.76597005],\n",
+       "         [1.1032239 , 1.101935  , 1.1006032 , ..., 0.7719539 ,\n",
+       "          0.76896197, 0.76597005],\n",
+       "         [1.1032239 , 1.101935  , 1.1006032 , ..., 0.7719539 ,\n",
+       "          0.76896197, 0.76597005]],\n",
+       "\n",
+       "        [[1.103337  , 1.1020517 , 1.1007217 , ..., 0.7719779 ,\n",
+       "          0.76895803, 0.7659435 ],\n",
+       "         [1.103337  , 1.1020517 , 1.1007217 , ..., 0.7719779 ,\n",
+       "          0.76895803, 0.7659435 ],\n",
+       "         [1.103337  , 1.1020517 , 1.1007217 , ..., 0.7719779 ,\n",
+       "          0.76895803, 0.7659435 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhoh</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.12 1.116 1.115 ... 0.7675 0.7644</div><input id='attrs-8d3b84b3-e44f-4745-87e4-1cb42dd0a0de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d3b84b3-e44f-4745-87e4-1cb42dd0a0de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-416c13b7-f1f4-4154-9cf2-a65d8b115da1' class='xr-var-data-in' type='checkbox'><label for='data-416c13b7-f1f4-4154-9cf2-a65d8b115da1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>Half level density</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.1200031 , 1.1162508 , 1.1151272 , ..., 0.77203375,\n",
+       "          0.7691679 , 0.76630306],\n",
+       "         [1.1200031 , 1.1162508 , 1.1151272 , ..., 0.77203375,\n",
+       "          0.7691679 , 0.76630306],\n",
+       "         [1.1200031 , 1.1162508 , 1.1151272 , ..., 0.77203375,\n",
+       "          0.7691679 , 0.76630306]],\n",
+       "\n",
+       "        [[1.1199381 , 1.1160295 , 1.1149024 , ..., 0.77201414,\n",
+       "          0.7691527 , 0.7662943 ],\n",
+       "         [1.1199381 , 1.1160295 , 1.1149024 , ..., 0.77201414,\n",
+       "          0.7691527 , 0.7662943 ],\n",
+       "         [1.1199381 , 1.1160295 , 1.1149024 , ..., 0.77201414,\n",
+       "          0.7691527 , 0.7662943 ]],\n",
+       "\n",
+       "        [[1.1199505 , 1.1159387 , 1.1148096 , ..., 0.7720168 ,\n",
+       "          0.76915455, 0.7663018 ],\n",
+       "         [1.1199505 , 1.1159387 , 1.1148096 , ..., 0.7720168 ,\n",
+       "          0.76915455, 0.7663018 ],\n",
+       "         [1.1199505 , 1.1159387 , 1.1148096 , ..., 0.7720168 ,\n",
+       "          0.76915455, 0.7663018 ]],\n",
+       "...\n",
+       "        [[1.1129618 , 1.1025419 , 1.1012369 , ..., 0.77033514,\n",
+       "          0.76732224, 0.76430994],\n",
+       "         [1.1129618 , 1.1025419 , 1.1012369 , ..., 0.77033514,\n",
+       "          0.76732224, 0.76430994],\n",
+       "         [1.1129618 , 1.1025419 , 1.1012369 , ..., 0.77033514,\n",
+       "          0.76732224, 0.76430994]],\n",
+       "\n",
+       "        [[1.1130743 , 1.1025862 , 1.1012758 , ..., 0.77046126,\n",
+       "          0.76746935, 0.76447296],\n",
+       "         [1.1130743 , 1.1025862 , 1.1012758 , ..., 0.77046126,\n",
+       "          0.76746935, 0.76447296],\n",
+       "         [1.1130743 , 1.1025862 , 1.1012758 , ..., 0.77046126,\n",
+       "          0.76746935, 0.76447296]],\n",
+       "\n",
+       "        [[1.113101  , 1.102701  , 1.1013933 , ..., 0.7704713 ,\n",
+       "          0.76745415, 0.7644451 ],\n",
+       "         [1.113101  , 1.102701  , 1.1013933 , ..., 0.7704713 ,\n",
+       "          0.76745415, 0.7644451 ],\n",
+       "         [1.113101  , 1.102701  , 1.1013933 , ..., 0.7704713 ,\n",
+       "          0.76745415, 0.7644451 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thv</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>304.3 304.3 304.3 ... nan nan nan</div><input id='attrs-78c6f334-a7d2-49bf-8c38-96c4297e5db4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78c6f334-a7d2-49bf-8c38-96c4297e5db4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3008010-9641-422a-b75a-5228f28ff106' class='xr-var-data-in' type='checkbox'><label for='data-a3008010-9641-422a-b75a-5228f28ff106' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[304.2598 , 304.28384, 304.3052 , ..., 316.11017, 316.15854,\n",
+       "          316.20834],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[304.31955, 304.3449 , 304.36722, ..., 316.1197 , 316.16644,\n",
+       "          316.21426],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[304.34396, 304.3701 , 304.39276, ..., 316.11426, 316.16272,\n",
+       "          316.20956],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[307.96927, 308.05667, 308.13162, ..., 317.2709 , 317.38797,\n",
+       "          317.50644],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[307.95627, 308.04495, 308.12143, ..., 317.22275, 317.32962,\n",
+       "          317.4401 ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[307.92462, 308.0123 , 308.08817, ..., 317.20847, 317.32678,\n",
+       "          317.44662],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thv_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.01266 -0.01823 ... nan nan</div><input id='attrs-40b1e05b-23e8-4b74-a101-1064b805d9eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40b1e05b-23e8-4b74-a101-1064b805d9eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af06de95-5525-440d-bf7a-fc4f902bcaac' class='xr-var-data-in' type='checkbox'><label for='data-af06de95-5525-440d-bf7a-fc4f902bcaac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m s-1</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the Virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[-0.01266166, -0.01822587, -0.02060974, ..., -0.00470547,\n",
+       "          -0.00476744, -0.00481864],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.01363593, -0.0191509 , -0.02141886, ..., -0.00490513,\n",
+       "          -0.00503932, -0.00514163],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.01460437, -0.02015915, -0.02240271, ..., -0.00484676,\n",
+       "          -0.00495431, -0.00500586],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[-0.04474763, -0.05261072, -0.05196116, ..., -0.02277536,\n",
+       "          -0.02229609, -0.02200433],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.04450354, -0.05244974, -0.0518119 , ..., -0.02445727,\n",
+       "          -0.02439992, -0.02433401],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.04473199, -0.05255364, -0.05191881, ..., -0.02340343,\n",
+       "          -0.0229278 , -0.02270985],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thv_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0002653 0.0005017 ... nan nan</div><input id='attrs-70074276-0167-49f3-8d19-1928fe1ccf96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70074276-0167-49f3-8d19-1928fe1ccf96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-536b6a05-4b05-4e06-9bc0-afd848bc5a49' class='xr-var-data-in' type='checkbox'><label for='data-536b6a05-4b05-4e06-9bc0-afd848bc5a49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.0000000e+00,  2.6532100e-04,  5.0172850e-04, ...,\n",
+       "           3.6051343e-04,  3.9098645e-04,  4.5450762e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 0.0000000e+00,  1.2350435e-04,  2.3591476e-04, ...,\n",
+       "           3.8650425e-04,  3.5039542e-04,  3.2887291e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 0.0000000e+00,  3.9456529e-05,  7.3007592e-05, ...,\n",
+       "           5.4332259e-04,  5.2961096e-04,  4.7254600e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "           1.1702279e-03,  1.3355534e-03,  1.1696478e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 0.0000000e+00,  3.2294600e-04,  5.9658481e-04, ...,\n",
+       "           2.9908062e-04,  4.2867320e-04,  7.1788952e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 0.0000000e+00,  3.2875236e-04,  6.2808598e-04, ...,\n",
+       "           5.4240174e-04,  4.1473648e-04,  5.7072745e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thv_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.05913 0.002185 ... nan nan</div><input id='attrs-acdfb611-76e9-404a-9829-f3c1697f6376' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acdfb611-76e9-404a-9829-f3c1697f6376' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-673c12e9-e636-4bdc-a1fa-43118dce77c3' class='xr-var-data-in' type='checkbox'><label for='data-673c12e9-e636-4bdc-a1fa-43118dce77c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the Virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 5.9131678e-02,  2.1846897e-03,  1.7845514e-03, ...,\n",
+       "           1.2097259e-03,  1.2444091e-03,  1.3348531e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 6.3342802e-02,  2.3052201e-03,  1.8573670e-03, ...,\n",
+       "           1.1685865e-03,  1.1960714e-03,  1.2529133e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 6.6170953e-02,  2.3758756e-03,  1.8900806e-03, ...,\n",
+       "           1.2112254e-03,  1.1712750e-03,  1.1606993e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "           2.9267417e-03,  2.9617480e-03,  3.1008210e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 2.4809653e-01,  8.0650141e-03,  6.3738767e-03, ...,\n",
+       "           2.6710581e-03,  2.7628576e-03,  2.9437726e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 2.4566364e-01,  7.9727611e-03,  6.3228137e-03, ...,\n",
+       "           2.9578058e-03,  2.9957118e-03,  2.9765144e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thv_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01709 0.01786 0.01854 ... nan nan</div><input id='attrs-f0685da4-4646-40f1-b5a1-0ad47244cc07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0685da4-4646-40f1-b5a1-0ad47244cc07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-515d13e6-57df-4f92-bba1-1b4a3b30dbc7' class='xr-var-data-in' type='checkbox'><label for='data-515d13e6-57df-4f92-bba1-1b4a3b30dbc7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.01709154, 0.01785871, 0.01854122, ..., 0.00159176,\n",
+       "          0.00167007, 0.00193939],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00581397, 0.00605531, 0.00627067, ..., 0.00164499,\n",
+       "          0.00163403, 0.00161434],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00130853, 0.00132475, 0.00133275, ..., 0.00183297,\n",
+       "          0.00172056, 0.00158957],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.0076741 , 0.00746953, 0.0072485 , ..., 0.01365561,\n",
+       "          0.01392509, 0.01410683],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01127811, 0.01060609, 0.01000253, ..., 0.00995218,\n",
+       "          0.01091951, 0.0123275 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00978331, 0.00934559, 0.00879309, ..., 0.01025839,\n",
+       "          0.01070793, 0.01196146],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thv_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.01266 -0.01796 ... nan nan</div><input id='attrs-1f8e7171-b3e9-403e-b5b8-0472c5f906d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f8e7171-b3e9-403e-b5b8-0472c5f906d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ab0a36f-2bba-44a6-ad6a-c01ad05d3e99' class='xr-var-data-in' type='checkbox'><label for='data-9ab0a36f-2bba-44a6-ad6a-c01ad05d3e99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m s-1</dd><dt><span>long_name :</span></dt><dd>Total flux of the Virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[-0.01266166, -0.01796055, -0.02010801, ..., -0.00434496,\n",
+       "          -0.00437645, -0.00436413],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.01363593, -0.0190274 , -0.02118294, ..., -0.00451862,\n",
+       "          -0.00468892, -0.00481276],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.01460437, -0.02011969, -0.0223297 , ..., -0.00430344,\n",
+       "          -0.00442469, -0.00453331],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[-0.04474763, -0.05229161, -0.05137682, ..., -0.02160514,\n",
+       "          -0.02096053, -0.02083468],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.04450354, -0.05212678, -0.05121532, ..., -0.02415819,\n",
+       "          -0.02397125, -0.02361612],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.04473199, -0.05222489, -0.05129072, ..., -0.02286103,\n",
+       "          -0.02251306, -0.02213912],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>298.9 298.8 298.7 ... nan nan nan</div><input id='attrs-6502a1f2-7d40-493e-970a-9355d29be58f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6502a1f2-7d40-493e-970a-9355d29be58f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c94264a-ee00-4750-9f85-ff8f797e9a2a' class='xr-var-data-in' type='checkbox'><label for='data-5c94264a-ee00-4750-9f85-ff8f797e9a2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Absolute temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[298.90024, 298.8232 , 298.73257, ..., 273.807  , 273.46497,\n",
+       "          273.12387],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[298.96994, 298.8942 , 298.80447, ..., 273.81577, 273.47202,\n",
+       "          273.129  ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[299.00107, 298.92612, 298.8367 , ..., 273.81018, 273.46817,\n",
+       "          273.12424],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[302.45862, 302.4394 , 302.39807, ..., 275.12784, 274.84943,\n",
+       "          274.57175],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[302.44568, 302.42783, 302.38806, ..., 275.0787 , 274.7908 ,\n",
+       "          274.50586],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[302.4128 , 302.3939 , 302.3536 , ..., 275.0618 , 274.78497,\n",
+       "          274.509  ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.02067 0.02165 0.02253 ... nan nan</div><input id='attrs-8d0baed4-2ee2-4e27-a0d1-e2aa719eb887' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d0baed4-2ee2-4e27-a0d1-e2aa719eb887' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f606ca1-e35e-4c99-85f5-a81aa39a06a9' class='xr-var-data-in' type='checkbox'><label for='data-0f606ca1-e35e-4c99-85f5-a81aa39a06a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Absolute temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.0206748 , 0.02165378, 0.0225272 , ..., 0.001546  ,\n",
+       "          0.00159805, 0.00182364],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00703154, 0.00736588, 0.00766915, ..., 0.00158796,\n",
+       "          0.00155439, 0.00151258],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00159006, 0.00160192, 0.00160804, ..., 0.00178752,\n",
+       "          0.00165116, 0.00149866],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.00812905, 0.00794615, 0.00775098, ..., 0.01242699,\n",
+       "          0.01253137, 0.01255786],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01187499, 0.01121152, 0.0106227 , ..., 0.00909968,\n",
+       "          0.00987519, 0.01104161],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01019207, 0.00978379, 0.0092658 , ..., 0.00940949,\n",
+       "          0.00971589, 0.01074316],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-8bcbdb94-a3e2-4328-9bb8-e7fd5cb88fbb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bcbdb94-a3e2-4328-9bb8-e7fd5cb88fbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3702b46b-1f1a-4b9c-babe-df992f76eb9d' class='xr-var-data-in' type='checkbox'><label for='data-3702b46b-1f1a-4b9c-babe-df992f76eb9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Liquid water</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-9b1089af-1783-48f7-aabf-d1e8b41883d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b1089af-1783-48f7-aabf-d1e8b41883d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29490240-4086-4d1e-8bc2-494b99b03e5f' class='xr-var-data-in' type='checkbox'><label for='data-29490240-4086-4d1e-8bc2-494b99b03e5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the Liquid water</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-4157b101-e8fc-49f5-b0ef-6be490cc52de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4157b101-e8fc-49f5-b0ef-6be490cc52de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03780382-ada4-454b-8cc5-467a6ade04f4' class='xr-var-data-in' type='checkbox'><label for='data-03780382-ada4-454b-8cc5-467a6ade04f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Liquid water</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql_frac</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-205e2b96-ba61-4cdd-9d2c-ed006b550ae3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-205e2b96-ba61-4cdd-9d2c-ed006b550ae3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-421a4a4c-c80f-48e3-930e-590cdca7b93c' class='xr-var-data-in' type='checkbox'><label for='data-421a4a4c-c80f-48e3-930e-590cdca7b93c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Liquid water fraction</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-8dea8205-d01f-4e59-8845-8ac3d7a5abd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8dea8205-d01f-4e59-8845-8ac3d7a5abd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d02f582-50fd-4643-be98-92d40b1d3d8a' class='xr-var-data-in' type='checkbox'><label for='data-2d02f582-50fd-4643-be98-92d40b1d3d8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the Liquid water</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql_cover</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-ba5e9759-663a-4c7a-ac78-777c96f01f84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba5e9759-663a-4c7a-ac78-777c96f01f84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39944c14-b1b2-4cca-b804-7b067fb9eb42' class='xr-var-data-in' type='checkbox'><label for='data-39944c14-b1b2-4cca-b804-7b067fb9eb42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Liquid water cover</dd></dl></div><div class='xr-var-data'><pre>array([[[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "...\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 nan nan 0.0 ... nan 0.0 nan nan</div><input id='attrs-23cf557b-dab9-4e99-b231-638c9bb9f6eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23cf557b-dab9-4e99-b231-638c9bb9f6eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaf21a8a-bcc0-4aa9-9262-b73778720853' class='xr-var-data-in' type='checkbox'><label for='data-aaf21a8a-bcc0-4aa9-9262-b73778720853' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>long_name :</span></dt><dd>Liquid water path</dd></dl></div><div class='xr-var-data'><pre>array([[[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "...\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-27d16d80-9e1f-4708-a9cd-251fea87a6de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27d16d80-9e1f-4708-a9cd-251fea87a6de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc8c83fd-9322-4cd6-9baf-061adfb4a9b6' class='xr-var-data-in' type='checkbox'><label for='data-dc8c83fd-9322-4cd6-9baf-061adfb4a9b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Total flux of the Liquid water</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qi</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-247555bd-352b-4504-9f93-8e9d6eaa6259' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-247555bd-352b-4504-9f93-8e9d6eaa6259' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-157fb32f-50a8-446c-b84d-1929b2ba15b5' class='xr-var-data-in' type='checkbox'><label for='data-157fb32f-50a8-446c-b84d-1929b2ba15b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Ice</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qi_frac</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-8ccba82e-81ba-4a7a-92d6-203f32b4abcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ccba82e-81ba-4a7a-92d6-203f32b4abcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d688b0fb-b723-4ca6-9d7a-8e49b00324d5' class='xr-var-data-in' type='checkbox'><label for='data-d688b0fb-b723-4ca6-9d7a-8e49b00324d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Ice fraction</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qi_cover</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-1f02b1af-4b79-492d-9782-b069e4d9f022' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f02b1af-4b79-492d-9782-b069e4d9f022' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9de565e-0197-48c4-9cc3-e66c2b5a81a3' class='xr-var-data-in' type='checkbox'><label for='data-c9de565e-0197-48c4-9cc3-e66c2b5a81a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Ice cover</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "...\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qi_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 nan nan 0.0 ... nan 0.0 nan nan</div><input id='attrs-56f29a7d-19f2-412a-a850-447c4117a693' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56f29a7d-19f2-412a-a850-447c4117a693' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-023f29f0-b89f-4262-8729-a6195b037928' class='xr-var-data-in' type='checkbox'><label for='data-023f29f0-b89f-4262-8729-a6195b037928' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>long_name :</span></dt><dd>Ice path</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan]],\n",
+       "\n",
+       "       [[ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan]],\n",
+       "\n",
+       "       [[ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "...\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan]],\n",
+       "\n",
+       "       [[ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan]],\n",
+       "\n",
+       "       [[ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qlqi</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-accf660c-e1ed-46ce-b6c2-c9448d069872' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-accf660c-e1ed-46ce-b6c2-c9448d069872' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99b04ed3-f51b-4908-837f-1cb1257dd517' class='xr-var-data-in' type='checkbox'><label for='data-99b04ed3-f51b-4908-837f-1cb1257dd517' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Liquid water and ice</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qlqi_frac</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-2e26ea26-4357-41ea-b366-cc3ab2a4771b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e26ea26-4357-41ea-b366-cc3ab2a4771b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75d41bd6-133b-48fb-83d4-e6685139184e' class='xr-var-data-in' type='checkbox'><label for='data-75d41bd6-133b-48fb-83d4-e6685139184e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Liquid water and ice fraction</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qlqi_cover</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-269dad08-11d8-454f-a4df-77ea8b3fe28e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-269dad08-11d8-454f-a4df-77ea8b3fe28e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25411f1b-982b-40aa-bc7f-f998448ad1e3' class='xr-var-data-in' type='checkbox'><label for='data-25411f1b-982b-40aa-bc7f-f998448ad1e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Liquid water and ice cover</dd></dl></div><div class='xr-var-data'><pre>array([[[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "...\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qlqi_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 nan nan 0.0 ... nan 0.0 nan nan</div><input id='attrs-004dadf8-1a9a-42f5-9db2-9b2a44d01687' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-004dadf8-1a9a-42f5-9db2-9b2a44d01687' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53778753-054c-4ea2-bffe-43c94f686a21' class='xr-var-data-in' type='checkbox'><label for='data-53778753-054c-4ea2-bffe-43c94f686a21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>long_name :</span></dt><dd>Liquid water and ice path</dd></dl></div><div class='xr-var-data'><pre>array([[[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "...\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qsat</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.02161 0.02154 0.02145 ... nan nan</div><input id='attrs-82499497-a160-412a-86c8-eb128fed7854' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82499497-a160-412a-86c8-eb128fed7854' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c67f52e1-a928-40f9-9eab-1108379e9399' class='xr-var-data-in' type='checkbox'><label for='data-c67f52e1-a928-40f9-9eab-1108379e9399' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Saturated water vapor</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.02161005, 0.02153743, 0.02144999, ..., 0.00657082,\n",
+       "          0.00644176, 0.00631528],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.02170012, 0.02162902, 0.02154239, ..., 0.00657497,\n",
+       "          0.00644505, 0.00631761],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.02174058, 0.02167029, 0.02158395, ..., 0.00657241,\n",
+       "          0.00644335, 0.00631553],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.02669767, 0.02670103, 0.02667287, ..., 0.00721213,\n",
+       "          0.00710463, 0.00699882],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.02667759, 0.02668304, 0.02665732, ..., 0.00718671,\n",
+       "          0.00707472, 0.00696567],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.02662607, 0.02662994, 0.02660333, ..., 0.00717813,\n",
+       "          0.00707188, 0.00696737],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qsat_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>62.67 nan nan ... 70.2 nan nan</div><input id='attrs-36d64446-f9ef-4e2f-962b-b68414218e17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36d64446-f9ef-4e2f-962b-b68414218e17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd82123b-d00f-4d14-8256-5570a44fe246' class='xr-var-data-in' type='checkbox'><label for='data-dd82123b-d00f-4d14-8256-5570a44fe246' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>long_name :</span></dt><dd>Saturated water vapor path</dd></dl></div><div class='xr-var-data'><pre>array([[[62.673542  ,         nan,         nan],\n",
+       "        [62.68858   ,         nan,         nan],\n",
+       "        [62.602005  ,         nan,         nan],\n",
+       "        [62.601994  ,         nan,         nan],\n",
+       "        [62.60074   ,         nan,         nan],\n",
+       "        [62.61755   ,         nan,         nan],\n",
+       "        [62.593243  ,         nan,         nan]],\n",
+       "\n",
+       "       [[62.90163   ,         nan,         nan],\n",
+       "        [62.912807  ,         nan,         nan],\n",
+       "        [62.845795  ,         nan,         nan],\n",
+       "        [62.845768  ,         nan,         nan],\n",
+       "        [62.83283   ,         nan,         nan],\n",
+       "        [62.85103   ,         nan,         nan],\n",
+       "        [62.837982  ,         nan,         nan]],\n",
+       "\n",
+       "       [[63.261566  ,         nan,         nan],\n",
+       "        [63.273342  ,         nan,         nan],\n",
+       "        [63.17818   ,         nan,         nan],\n",
+       "        [63.178196  ,         nan,         nan],\n",
+       "...\n",
+       "        [70.8692    ,         nan,         nan],\n",
+       "        [70.84326   ,         nan,         nan],\n",
+       "        [70.82967   ,         nan,         nan],\n",
+       "        [70.79688   ,         nan,         nan]],\n",
+       "\n",
+       "       [[70.70423   ,         nan,         nan],\n",
+       "        [70.737206  ,         nan,         nan],\n",
+       "        [70.6531    ,         nan,         nan],\n",
+       "        [70.65298   ,         nan,         nan],\n",
+       "        [70.62322   ,         nan,         nan],\n",
+       "        [70.61326   ,         nan,         nan],\n",
+       "        [70.519394  ,         nan,         nan]],\n",
+       "\n",
+       "       [[70.382965  ,         nan,         nan],\n",
+       "        [70.43129   ,         nan,         nan],\n",
+       "        [70.346855  ,         nan,         nan],\n",
+       "        [70.346794  ,         nan,         nan],\n",
+       "        [70.32101   ,         nan,         nan],\n",
+       "        [70.28391   ,         nan,         nan],\n",
+       "        [70.20156   ,         nan,         nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rh</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.5957 0.5962 0.5974 ... nan nan</div><input id='attrs-00d37410-f5bc-4caf-b63d-6930f8283d3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00d37410-f5bc-4caf-b63d-6930f8283d3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83e26b1e-e6a9-424f-b4d6-e3f62a8ee2ac' class='xr-var-data-in' type='checkbox'><label for='data-83e26b1e-e6a9-424f-b4d6-e3f62a8ee2ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Relative humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.5956568 , 0.5961567 , 0.5974106 , ..., 0.52737933,\n",
+       "          0.53261906, 0.5380284 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.5903401 , 0.5907562 , 0.5919464 , ..., 0.5267768 ,\n",
+       "          0.5323208 , 0.5380596 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.5873893 , 0.58778363, 0.5889613 , ..., 0.5267046 ,\n",
+       "          0.5319185 , 0.5377149 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.4960793 , 0.49570993, 0.4959568 , ..., 0.36051726,\n",
+       "          0.35756764, 0.35469756],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.49648312, 0.4960666 , 0.4962586 , ..., 0.3676584 ,\n",
+       "          0.3655691 , 0.36331007],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.49782053, 0.4974346 , 0.49764284, ..., 0.37073568,\n",
+       "          0.36742303, 0.36417365],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zi</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.818e+04 2.818e+04 ... 3.054e+04</div><input id='attrs-19500873-9fae-4e09-996a-1bf2cebf649b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19500873-9fae-4e09-996a-1bf2cebf649b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b01e273-4b4c-42f8-b3f5-21520837b0fa' class='xr-var-data-in' type='checkbox'><label for='data-1b01e273-4b4c-42f8-b3f5-21520837b0fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Boundary Layer Depth</dd></dl></div><div class='xr-var-data'><pre>array([[[28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ]],\n",
+       "\n",
+       "       [[28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ]],\n",
+       "\n",
+       "       [[28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "...\n",
+       "        [29752.334, 29752.334, 29752.334],\n",
+       "        [29752.334, 29752.334, 29752.334],\n",
+       "        [29752.334, 29752.334, 29752.334],\n",
+       "        [29752.334, 29752.334, 29752.334]],\n",
+       "\n",
+       "       [[30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ]],\n",
+       "\n",
+       "       [[30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rr</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4784fcfd-3aac-4245-8851-526ac86ba772' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4784fcfd-3aac-4245-8851-526ac86ba772' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eea01f55-a261-484f-a4de-b1aaa43d6325' class='xr-var-data-in' type='checkbox'><label for='data-eea01f55-a261-484f-a4de-b1aaa43d6325' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>long_name :</span></dt><dd>Mean surface rain rate</dd></dl></div><div class='xr-var-data'><pre>array([[[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "...\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_cover</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-1884c132-26e2-4d20-9d6f-495e92fbe74d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1884c132-26e2-4d20-9d6f-495e92fbe74d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c515ee19-86ae-4318-96fc-1a3cb7e3867b' class='xr-var-data-in' type='checkbox'><label for='data-c515ee19-86ae-4318-96fc-1a3cb7e3867b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Rain water specific humidity cover</dd></dl></div><div class='xr-var-data'><pre>array([[[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "...\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_frac</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-984d12ef-8539-4c2c-a199-55f2e8af0056' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-984d12ef-8539-4c2c-a199-55f2e8af0056' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16336fef-6ded-4978-b63e-d74205af82f3' class='xr-var-data-in' type='checkbox'><label for='data-16336fef-6ded-4978-b63e-d74205af82f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Rain water specific humidity fraction</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ustar</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.5149 0.5149 ... 0.3984 0.3984</div><input id='attrs-cbc73f20-88b9-4615-8a57-5702326ca5d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbc73f20-88b9-4615-8a57-5702326ca5d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b249043-0907-4696-8540-83118ef969dc' class='xr-var-data-in' type='checkbox'><label for='data-4b249043-0907-4696-8540-83118ef969dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Surface friction velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[0.51489836, 0.51489836, 0.51489836],\n",
+       "        [0.50795513, 0.50795513, 0.50795513],\n",
+       "        [0.5115656 , 0.5115656 , 0.5115656 ],\n",
+       "        [0.5115656 , 0.5115656 , 0.5115656 ],\n",
+       "        [0.5100952 , 0.5100952 , 0.5100952 ],\n",
+       "        [0.51190597, 0.51190597, 0.51190597],\n",
+       "        [0.510747  , 0.510747  , 0.510747  ]],\n",
+       "\n",
+       "       [[0.50229007, 0.50229007, 0.50229007],\n",
+       "        [0.49997345, 0.49997345, 0.49997345],\n",
+       "        [0.5008376 , 0.5008376 , 0.5008376 ],\n",
+       "        [0.5008376 , 0.5008376 , 0.5008376 ],\n",
+       "        [0.4982412 , 0.4982412 , 0.4982412 ],\n",
+       "        [0.49858966, 0.49858966, 0.49858966],\n",
+       "        [0.49980858, 0.49980858, 0.49980858]],\n",
+       "\n",
+       "       [[0.49452648, 0.49452648, 0.49452648],\n",
+       "        [0.5044152 , 0.5044152 , 0.5044152 ],\n",
+       "        [0.49873543, 0.49873543, 0.49873543],\n",
+       "        [0.49873543, 0.49873543, 0.49873543],\n",
+       "...\n",
+       "        [0.38412952, 0.38412952, 0.38412952],\n",
+       "        [0.38917065, 0.38917065, 0.38917065],\n",
+       "        [0.38200548, 0.38200548, 0.38200548],\n",
+       "        [0.38511586, 0.38511586, 0.38511586]],\n",
+       "\n",
+       "       [[0.388016  , 0.388016  , 0.388016  ],\n",
+       "        [0.37931672, 0.37931672, 0.37931672],\n",
+       "        [0.38153347, 0.38153347, 0.38153347],\n",
+       "        [0.38153347, 0.38153347, 0.38153347],\n",
+       "        [0.3879046 , 0.3879046 , 0.3879046 ],\n",
+       "        [0.37961766, 0.37961766, 0.37961766],\n",
+       "        [0.3847156 , 0.3847156 , 0.3847156 ]],\n",
+       "\n",
+       "       [[0.39959124, 0.39959124, 0.39959124],\n",
+       "        [0.3908273 , 0.3908273 , 0.3908273 ],\n",
+       "        [0.393356  , 0.393356  , 0.393356  ],\n",
+       "        [0.393356  , 0.393356  , 0.393356  ],\n",
+       "        [0.39712453, 0.39712453, 0.39712453],\n",
+       "        [0.39250827, 0.39250827, 0.39250827],\n",
+       "        [0.39838925, 0.39838925, 0.39838925]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>obuk</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>885.5 885.5 885.5 ... 109.3 109.3</div><input id='attrs-4d167df6-c797-4a56-b154-190127c3f94d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d167df6-c797-4a56-b154-190127c3f94d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47dc709e-d99a-4634-945e-7e9638e1431f' class='xr-var-data-in' type='checkbox'><label for='data-47dc709e-d99a-4634-945e-7e9638e1431f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Obukhov length</dd></dl></div><div class='xr-var-data'><pre>array([[[ 8.85527405e+02,  8.85527405e+02,  8.85527405e+02],\n",
+       "        [ 7.39732483e+02,  7.39732483e+02,  7.39732483e+02],\n",
+       "        [ 6.76298645e+02,  6.76298645e+02,  6.76298645e+02],\n",
+       "        [ 6.76298645e+02,  6.76298645e+02,  6.76298645e+02],\n",
+       "        [ 7.26304199e+02,  7.26304199e+02,  7.26304199e+02],\n",
+       "        [ 7.37503906e+02,  7.37503906e+02,  7.37503906e+02],\n",
+       "        [ 7.26206543e+02,  7.26206543e+02,  7.26206543e+02]],\n",
+       "\n",
+       "       [[ 5.24071924e+03,  5.24071924e+03,  5.24071924e+03],\n",
+       "        [ 6.93332336e+02,  6.93332336e+02,  6.93332336e+02],\n",
+       "        [-1.95544275e+03, -1.95544275e+03, -1.95544275e+03],\n",
+       "        [-1.95544275e+03, -1.95544275e+03, -1.95544275e+03],\n",
+       "        [ 2.78458569e+03,  2.78458569e+03,  2.78458569e+03],\n",
+       "        [ 6.03595264e+03,  6.03595264e+03,  6.03595264e+03],\n",
+       "        [ 2.23545850e+03,  2.23545850e+03,  2.23545850e+03]],\n",
+       "\n",
+       "       [[-3.09008179e+02, -3.09008179e+02, -3.09008179e+02],\n",
+       "        [-3.31303986e+02, -3.31303986e+02, -3.31303986e+02],\n",
+       "        [-3.28497925e+02, -3.28497925e+02, -3.28497925e+02],\n",
+       "        [-3.28497925e+02, -3.28497925e+02, -3.28497925e+02],\n",
+       "...\n",
+       "        [ 9.47774734e+01,  9.47774734e+01,  9.47774734e+01],\n",
+       "        [ 8.96412354e+01,  8.96412354e+01,  8.96412354e+01],\n",
+       "        [ 9.13753281e+01,  9.13753281e+01,  9.13753281e+01]],\n",
+       "\n",
+       "       [[ 9.85804214e+01,  9.85804214e+01,  9.85804214e+01],\n",
+       "        [ 9.36997604e+01,  9.36997604e+01,  9.36997604e+01],\n",
+       "        [ 9.42589417e+01,  9.42589417e+01,  9.42589417e+01],\n",
+       "        [ 9.42589417e+01,  9.42589417e+01,  9.42589417e+01],\n",
+       "        [ 9.80484390e+01,  9.80484390e+01,  9.80484390e+01],\n",
+       "        [ 9.25349503e+01,  9.25349503e+01,  9.25349503e+01],\n",
+       "        [ 9.55584946e+01,  9.55584946e+01,  9.55584946e+01]],\n",
+       "\n",
+       "       [[ 1.09874290e+02,  1.09874290e+02,  1.09874290e+02],\n",
+       "        [ 1.05215157e+02,  1.05215157e+02,  1.05215157e+02],\n",
+       "        [ 1.06735481e+02,  1.06735481e+02,  1.06735481e+02],\n",
+       "        [ 1.06735481e+02,  1.06735481e+02,  1.06735481e+02],\n",
+       "        [ 1.08037148e+02,  1.08037148e+02,  1.08037148e+02],\n",
+       "        [ 1.04659515e+02,  1.04659515e+02,  1.04659515e+02],\n",
+       "        [ 1.09322395e+02,  1.09322395e+02,  1.09322395e+02]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wl</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.758e-15 7.758e-15 ... 1.273e-13</div><input id='attrs-8e0a7048-a08c-482b-a0c9-49fad89de196' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e0a7048-a08c-482b-a0c9-49fad89de196' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0586ff8-b54b-485e-8fc9-16826c8d776d' class='xr-var-data-in' type='checkbox'><label for='data-d0586ff8-b54b-485e-8fc9-16826c8d776d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Liquid water reservoir</dd></dl></div><div class='xr-var-data'><pre>array([[[7.75759445e-15, 7.75759445e-15, 7.75759445e-15],\n",
+       "        [3.43826767e-16, 3.43826767e-16, 3.43826767e-16],\n",
+       "        [1.47517326e-16, 1.47517326e-16, 1.47517326e-16],\n",
+       "        [1.47517326e-16, 1.47517326e-16, 1.47517326e-16],\n",
+       "        [3.40821143e-17, 3.40821143e-17, 3.40821143e-17],\n",
+       "        [7.41979438e-18, 7.41979438e-18, 7.41979438e-18],\n",
+       "        [1.72483877e-18, 1.72483877e-18, 1.72483877e-18]],\n",
+       "\n",
+       "       [[5.16716483e-15, 5.16716483e-15, 5.16716483e-15],\n",
+       "        [2.28339621e-16, 2.28339621e-16, 2.28339621e-16],\n",
+       "        [9.67383425e-17, 9.67383425e-17, 9.67383425e-17],\n",
+       "        [9.67383425e-17, 9.67383425e-17, 9.67383425e-17],\n",
+       "        [2.25519528e-17, 2.25519528e-17, 2.25519528e-17],\n",
+       "        [4.90102238e-18, 4.90102238e-18, 4.90102238e-18],\n",
+       "        [1.14763741e-18, 1.14763741e-18, 1.14763741e-18]],\n",
+       "\n",
+       "       [[3.25202905e-15, 3.25202905e-15, 3.25202905e-15],\n",
+       "        [1.42786872e-16, 1.42786872e-16, 1.42786872e-16],\n",
+       "        [5.99428806e-17, 5.99428806e-17, 5.99428806e-17],\n",
+       "        [5.99428806e-17, 5.99428806e-17, 5.99428806e-17],\n",
+       "...\n",
+       "        [5.20163079e-12, 5.20163079e-12, 5.20163079e-12],\n",
+       "        [1.65279194e-12, 1.65279194e-12, 1.65279194e-12],\n",
+       "        [5.58753402e-13, 5.58753402e-13, 5.58753402e-13],\n",
+       "        [1.94691797e-13, 1.94691797e-13, 1.94691797e-13]],\n",
+       "\n",
+       "       [[9.07253439e-10, 9.07253439e-10, 9.07253439e-10],\n",
+       "        [2.03742006e-11, 2.03742006e-11, 2.03742006e-11],\n",
+       "        [4.22197737e-12, 4.22197737e-12, 4.22197737e-12],\n",
+       "        [4.22197737e-12, 4.22197737e-12, 4.22197737e-12],\n",
+       "        [1.33076568e-12, 1.33076568e-12, 1.33076568e-12],\n",
+       "        [4.53986973e-13, 4.53986973e-13, 4.53986973e-13],\n",
+       "        [1.57964665e-13, 1.57964665e-13, 1.57964665e-13]],\n",
+       "\n",
+       "       [[7.25874416e-10, 7.25874416e-10, 7.25874416e-10],\n",
+       "        [1.64815158e-11, 1.64815158e-11, 1.64815158e-11],\n",
+       "        [3.42319207e-12, 3.42319207e-12, 3.42319207e-12],\n",
+       "        [3.42319207e-12, 3.42319207e-12, 3.42319207e-12],\n",
+       "        [1.06919042e-12, 1.06919042e-12, 1.06919042e-12],\n",
+       "        [3.68114827e-13, 3.68114827e-13, 3.68114827e-13],\n",
+       "        [1.27252267e-13, 1.27252267e-13, 1.27252267e-13]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-19.0 -19.0 -19.0 ... -50.47 -50.47</div><input id='attrs-de985bfa-8286-4b46-9437-a351ebb51b06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de985bfa-8286-4b46-9437-a351ebb51b06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38386220-d107-48a2-a387-0842ac41ed97' class='xr-var-data-in' type='checkbox'><label for='data-38386220-d107-48a2-a387-0842ac41ed97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Surface sensible heat flux</dd></dl></div><div class='xr-var-data'><pre>array([[[-18.997353 , -18.997353 , -18.997353 ],\n",
+       "        [-20.139051 , -20.139051 , -20.139051 ],\n",
+       "        [-21.261312 , -21.261312 , -21.261312 ],\n",
+       "        [-21.261312 , -21.261312 , -21.261312 ],\n",
+       "        [-20.46846  , -20.46846  , -20.46846  ],\n",
+       "        [-20.164072 , -20.164072 , -20.164072 ],\n",
+       "        [-20.499102 , -20.499102 , -20.499102 ]],\n",
+       "\n",
+       "       [[  6.284144 ,   6.284144 ,   6.284144 ],\n",
+       "        [  5.213218 ,   5.213218 ,   5.213218 ],\n",
+       "        [  3.8945694,   3.8945694,   3.8945694],\n",
+       "        [  3.8945694,   3.8945694,   3.8945694],\n",
+       "        [  4.702566 ,   4.702566 ,   4.702566 ],\n",
+       "        [  4.8372655,   4.8372655,   4.8372655],\n",
+       "        [  4.3312125,   4.3312125,   4.3312125]],\n",
+       "\n",
+       "       [[ 31.912851 ,  31.912851 ,  31.912851 ],\n",
+       "        [ 31.704275 ,  31.704275 ,  31.704275 ],\n",
+       "        [ 30.116907 ,  30.116907 ,  30.116907 ],\n",
+       "        [ 30.116907 ,  30.116907 ,  30.116907 ],\n",
+       "...\n",
+       "        [-53.348072 , -53.348072 , -53.348072 ],\n",
+       "        [-53.754948 , -53.754948 , -53.754948 ],\n",
+       "        [-53.44678  , -53.44678  , -53.44678  ],\n",
+       "        [-53.647137 , -53.647137 , -53.647137 ]],\n",
+       "\n",
+       "       [[-51.30929  , -51.30929  , -51.30929  ],\n",
+       "        [-50.652637 , -50.652637 , -50.652637 ],\n",
+       "        [-50.80778  , -50.80778  , -50.80778  ],\n",
+       "        [-50.80778  , -50.80778  , -50.80778  ],\n",
+       "        [-51.38061  , -51.38061  , -51.38061  ],\n",
+       "        [-50.927532 , -50.927532 , -50.927532 ],\n",
+       "        [-51.253414 , -51.253414 , -51.253414 ]],\n",
+       "\n",
+       "       [[-50.553238 , -50.553238 , -50.553238 ],\n",
+       "        [-49.77367  , -49.77367  , -49.77367  ],\n",
+       "        [-49.912403 , -49.912403 , -49.912403 ],\n",
+       "        [-49.912403 , -49.912403 , -49.912403 ],\n",
+       "        [-50.485126 , -50.485126 , -50.485126 ],\n",
+       "        [-50.21583  , -50.21583  , -50.21583  ],\n",
+       "        [-50.468983 , -50.468983 , -50.468983 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LE</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>66.26 66.26 66.26 ... 11.2 11.2</div><input id='attrs-ae3d00de-d0b5-4d53-964b-723907ec7395' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae3d00de-d0b5-4d53-964b-723907ec7395' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8be85d3-5c90-481b-8692-ba8370942978' class='xr-var-data-in' type='checkbox'><label for='data-a8be85d3-5c90-481b-8692-ba8370942978' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Surface latent heat flux</dd></dl></div><div class='xr-var-data'><pre>array([[[ 66.26182  ,  66.26182  ,  66.26182  ],\n",
+       "        [ 66.98254  ,  66.98254  ,  66.98254  ],\n",
+       "        [ 67.52323  ,  67.52323  ,  67.52323  ],\n",
+       "        [ 67.52323  ,  67.52323  ,  67.52323  ],\n",
+       "        [ 67.222275 ,  67.222275 ,  67.222275 ],\n",
+       "        [ 66.88033  ,  66.88033  ,  66.88033  ],\n",
+       "        [ 67.02857  ,  67.02857  ,  67.02857  ]],\n",
+       "\n",
+       "       [[101.17887  , 101.17887  , 101.17887  ],\n",
+       "        [101.93517  , 101.93517  , 101.93517  ],\n",
+       "        [102.766174 , 102.766174 , 102.766174 ],\n",
+       "        [102.766174 , 102.766174 , 102.766174 ],\n",
+       "        [102.350914 , 102.350914 , 102.350914 ],\n",
+       "        [102.092125 , 102.092125 , 102.092125 ],\n",
+       "        [102.41309  , 102.41309  , 102.41309  ]],\n",
+       "\n",
+       "       [[137.85616  , 137.85616  , 137.85616  ],\n",
+       "        [138.19829  , 138.19829  , 138.19829  ],\n",
+       "        [139.31342  , 139.31342  , 139.31342  ],\n",
+       "        [139.31342  , 139.31342  , 139.31342  ],\n",
+       "...\n",
+       "        [ 15.981533 ,  15.981533 ,  15.981533 ],\n",
+       "        [ 16.073704 ,  16.073704 ,  16.073704 ],\n",
+       "        [ 16.003082 ,  16.003082 ,  16.003082 ],\n",
+       "        [ 15.981828 ,  15.981828 ,  15.981828 ]],\n",
+       "\n",
+       "       [[ 11.780869 ,  11.780869 ,  11.780869 ],\n",
+       "        [ 11.6443815,  11.6443815,  11.6443815],\n",
+       "        [ 11.620026 ,  11.620026 ,  11.620026 ],\n",
+       "        [ 11.620026 ,  11.620026 ,  11.620026 ],\n",
+       "        [ 11.721504 ,  11.721504 ,  11.721504 ],\n",
+       "        [ 11.655372 ,  11.655372 ,  11.655372 ],\n",
+       "        [ 11.647546 ,  11.647546 ,  11.647546 ]],\n",
+       "\n",
+       "       [[ 11.330916 ,  11.330916 ,  11.330916 ],\n",
+       "        [ 11.178574 ,  11.178574 ,  11.178574 ],\n",
+       "        [ 11.154429 ,  11.154429 ,  11.154429 ],\n",
+       "        [ 11.154429 ,  11.154429 ,  11.154429 ],\n",
+       "        [ 11.259244 ,  11.259244 ,  11.259244 ],\n",
+       "        [ 11.21286  ,  11.21286  ,  11.21286  ],\n",
+       "        [ 11.197764 ,  11.197764 ,  11.197764 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>G</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-5.177 -5.177 ... -18.46 -18.46</div><input id='attrs-0037a52e-d80e-49bb-a4a5-1a8ba1944bcd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0037a52e-d80e-49bb-a4a5-1a8ba1944bcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60016f1f-27ca-4739-8e35-ae6eaad38d44' class='xr-var-data-in' type='checkbox'><label for='data-60016f1f-27ca-4739-8e35-ae6eaad38d44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Surface soil heat flux</dd></dl></div><div class='xr-var-data'><pre>array([[[ -5.1767116,  -5.1767116,  -5.1767116],\n",
+       "        [ -4.816609 ,  -4.816609 ,  -4.816609 ],\n",
+       "        [ -4.1233964,  -4.1233964,  -4.1233964],\n",
+       "        [ -4.1233964,  -4.1233964,  -4.1233964],\n",
+       "        [ -4.614084 ,  -4.614084 ,  -4.614084 ],\n",
+       "        [ -4.57466  ,  -4.57466  ,  -4.57466  ],\n",
+       "        [ -4.3756943,  -4.3756943,  -4.3756943]],\n",
+       "\n",
+       "       [[  7.223437 ,   7.223437 ,   7.223437 ],\n",
+       "        [  7.4831276,   7.4831276,   7.4831276],\n",
+       "        [  8.123116 ,   8.123116 ,   8.123116 ],\n",
+       "        [  8.123116 ,   8.123116 ,   8.123116 ],\n",
+       "        [  7.7030005,   7.7030005,   7.7030005],\n",
+       "        [  7.8169436,   7.8169436,   7.8169436],\n",
+       "        [  8.025334 ,   8.025334 ,   8.025334 ]],\n",
+       "\n",
+       "       [[ 20.93782  ,  20.93782  ,  20.93782  ],\n",
+       "        [ 20.833899 ,  20.833899 ,  20.833899 ],\n",
+       "        [ 21.417398 ,  21.417398 ,  21.417398 ],\n",
+       "        [ 21.417398 ,  21.417398 ,  21.417398 ],\n",
+       "...\n",
+       "        [-16.132286 , -16.132286 , -16.132286 ],\n",
+       "        [-15.959836 , -15.959836 , -15.959836 ],\n",
+       "        [-16.0374   , -16.0374   , -16.0374   ],\n",
+       "        [-15.908249 , -15.908249 , -15.908249 ]],\n",
+       "\n",
+       "       [[-17.994987 , -17.994987 , -17.994987 ],\n",
+       "        [-18.252869 , -18.252869 , -18.252869 ],\n",
+       "        [-18.096838 , -18.096838 , -18.096838 ],\n",
+       "        [-18.096838 , -18.096838 , -18.096838 ],\n",
+       "        [-17.796556 , -17.796556 , -17.796556 ],\n",
+       "        [-17.983747 , -17.983747 , -17.983747 ],\n",
+       "        [-17.770483 , -17.770483 , -17.770483 ]],\n",
+       "\n",
+       "       [[-18.65776  , -18.65776  , -18.65776  ],\n",
+       "        [-19.000933 , -19.000933 , -19.000933 ],\n",
+       "        [-18.860939 , -18.860939 , -18.860939 ],\n",
+       "        [-18.860939 , -18.860939 , -18.860939 ],\n",
+       "        [-18.541285 , -18.541285 , -18.541285 ],\n",
+       "        [-18.627825 , -18.627825 , -18.627825 ],\n",
+       "        [-18.460947 , -18.460947 , -18.460947 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>S</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7c45c800-b240-49c0-9b31-d1c11d1fb328' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c45c800-b240-49c0-9b31-d1c11d1fb328' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-953f2db3-aa98-44fc-ae98-73d37df2c7ec' class='xr-var-data-in' type='checkbox'><label for='data-953f2db3-aa98-44fc-ae98-73d37df2c7ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Surface storage heat flux</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "...\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]],\n",
+       "\n",
+       "       [[0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.],\n",
+       "        [0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(time, NC, sample, zs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>289.0 293.7 298.8 ... nan nan nan</div><input id='attrs-7e98979b-ee47-444f-b723-33e557a3c8fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e98979b-ee47-444f-b723-33e557a3c8fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f29e54f0-e597-4ad1-a03f-57042c60636f' class='xr-var-data-in' type='checkbox'><label for='data-f29e54f0-e597-4ad1-a03f-57042c60636f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Soil temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[289.03824, 293.70065, 298.79984, 298.7689 ],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        [[289.03824, 293.70065, 298.7403 , 298.75833],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        [[289.03824, 293.70065, 298.67136, 298.694  ],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[289.03824, 293.70065, 298.7486 , 298.73926],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        [[289.03824, 293.70065, 298.71335, 298.717  ],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "...\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        [[289.03824, 293.70065, 299.9181 , 301.92776],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[289.03824, 293.70065, 299.9243 , 301.95224],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        [[289.03824, 293.70065, 299.91248, 301.93015],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        [[289.03824, 293.70065, 299.8967 , 301.90506],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta</span></div><div class='xr-var-dims'>(time, NC, sample, zs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2032 0.2371 0.2555 ... nan nan</div><input id='attrs-ae47ac1f-edcc-46e1-a2f9-cd94cec9041b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae47ac1f-edcc-46e1-a2f9-cd94cec9041b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0abb3bca-5d40-4c70-bf79-f67bc27e30e1' class='xr-var-data-in' type='checkbox'><label for='data-0abb3bca-5d40-4c70-bf79-f67bc27e30e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Soil volumetric water content</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.20322801, 0.2371441 , 0.25546244, 0.22602469],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        [[0.20322801, 0.2371407 , 0.25543445, 0.22603874],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        [[0.20322801, 0.23715757, 0.25552115, 0.22601976],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[0.20322801, 0.23714079, 0.25544548, 0.22604729],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        [[0.20322801, 0.23715223, 0.25550047, 0.22603868],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "...\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        [[0.20322801, 0.23485728, 0.24125348, 0.21718068],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[0.20322801, 0.23480965, 0.24122532, 0.21721815],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        [[0.20322801, 0.23485337, 0.2412508 , 0.21725322],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        [[0.20322801, 0.23480846, 0.24141274, 0.21726756],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lw_flux_up</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>445.0 446.4 446.4 ... nan nan nan</div><input id='attrs-137e9b09-eed8-4379-a3ea-47e78d5c9ea1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-137e9b09-eed8-4379-a3ea-47e78d5c9ea1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7d90d29-ece9-4798-ab2e-8da960e1edfa' class='xr-var-data-in' type='checkbox'><label for='data-c7d90d29-ece9-4798-ab2e-8da960e1edfa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Longwave upwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[445.0265 , 446.35837, 446.4403 , ..., 364.7571 , 363.8837 ,\n",
+       "          363.0109 ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[445.17557, 446.59384, 446.6914 , ..., 364.77982, 363.90405,\n",
+       "          363.0282 ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[445.21436, 446.68265, 446.7891 , ..., 364.81882, 363.94394,\n",
+       "          363.06577],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[456.81015, 461.64322, 462.3478 , ..., 374.00693, 373.28098,\n",
+       "          372.5634 ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[456.62854, 461.4978 , 462.21036, ..., 373.84634, 373.10107,\n",
+       "          372.36563],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[456.57205, 461.39066, 462.09384, ..., 373.7816 , 373.04922,\n",
+       "          372.32578],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lw_flux_dn</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>380.2 380.1 379.4 ... nan nan nan</div><input id='attrs-9d264ff3-6cea-43c3-b8e4-393f92ef6bc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d264ff3-6cea-43c3-b8e4-393f92ef6bc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcc2a639-3ad4-4a2e-88cb-656cf0de52d1' class='xr-var-data-in' type='checkbox'><label for='data-dcc2a639-3ad4-4a2e-88cb-656cf0de52d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Longwave downwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[380.1896 , 380.09146, 379.4249 , ..., 203.56685, 201.97766,\n",
+       "          200.39409],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[380.2678 , 380.2161 , 379.55106, ..., 203.61003, 202.01842,\n",
+       "          200.43097],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[380.42636, 380.40213, 379.73813, ..., 203.57153, 201.97871,\n",
+       "          200.38753],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[399.06577, 400.9324 , 400.38538, ..., 199.40503, 197.89543,\n",
+       "          196.39917],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[399.02063, 400.91116, 400.36948, ..., 199.44334, 197.91737,\n",
+       "          196.40819],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[398.86282, 400.72476, 400.1813 , ..., 199.50005, 197.97804,\n",
+       "          196.46545],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lw_flux_up_clear</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>445.0 446.4 446.4 ... nan nan nan</div><input id='attrs-8f7b0e3f-0f7f-4f07-9640-24d232824f71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f7b0e3f-0f7f-4f07-9640-24d232824f71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c731e3d-4b0e-4381-ba77-fff453224543' class='xr-var-data-in' type='checkbox'><label for='data-8c731e3d-4b0e-4381-ba77-fff453224543' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Clear-sky longwave upwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[445.0265 , 446.35837, 446.4403 , ..., 364.7571 , 363.8837 ,\n",
+       "          363.0109 ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[445.17557, 446.59384, 446.6914 , ..., 364.77982, 363.90405,\n",
+       "          363.0282 ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[445.21436, 446.68265, 446.7891 , ..., 364.81882, 363.94394,\n",
+       "          363.06577],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[456.81015, 461.64322, 462.3478 , ..., 374.00693, 373.28098,\n",
+       "          372.5634 ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[456.62854, 461.4978 , 462.21036, ..., 373.84634, 373.10107,\n",
+       "          372.36563],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[456.57205, 461.39066, 462.09384, ..., 373.7816 , 373.04922,\n",
+       "          372.32578],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lw_flux_dn_clear</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>380.2 380.1 379.4 ... nan nan nan</div><input id='attrs-b3d775cf-d018-4774-a6eb-7a7d0436b270' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3d775cf-d018-4774-a6eb-7a7d0436b270' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3aad94db-7e70-4745-beb6-52d8c2d90c38' class='xr-var-data-in' type='checkbox'><label for='data-3aad94db-7e70-4745-beb6-52d8c2d90c38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Clear-sky longwave downwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[380.1896 , 380.09146, 379.4249 , ..., 203.56685, 201.97766,\n",
+       "          200.39409],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[380.2678 , 380.2161 , 379.55106, ..., 203.61003, 202.01842,\n",
+       "          200.43097],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[380.42636, 380.40213, 379.73813, ..., 203.57153, 201.97871,\n",
+       "          200.38753],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[399.06577, 400.9324 , 400.38538, ..., 199.40503, 197.89543,\n",
+       "          196.39917],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[399.02063, 400.91116, 400.36948, ..., 199.44334, 197.91737,\n",
+       "          196.40819],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[398.86282, 400.72476, 400.1813 , ..., 199.50005, 197.97804,\n",
+       "          196.46545],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_up</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>22.85 22.88 22.9 ... nan nan nan</div><input id='attrs-beb8f16f-154e-40ec-830d-9d3bdfb63f74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-beb8f16f-154e-40ec-830d-9d3bdfb63f74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c2adc13-8518-4a4d-b5f6-a351c09ef232' class='xr-var-data-in' type='checkbox'><label for='data-6c2adc13-8518-4a4d-b5f6-a351c09ef232' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Shortwave upwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[22.854927  , 22.878485  , 22.896006  , ..., 29.351837  ,\n",
+       "          29.419485  , 29.487097  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[22.857103  , 22.880682  , 22.898224  , ..., 29.354013  ,\n",
+       "          29.42166   , 29.489271  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[22.854868  , 22.878471  , 22.896027  , ..., 29.352058  ,\n",
+       "          29.41971   , 29.487326  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "           0.        ,  0.        ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "           0.        ,  0.        ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "           0.        ,  0.        ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_dn</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>130.0 130.1 130.2 ... nan nan nan</div><input id='attrs-224639e8-d3db-4586-ba52-577de93845eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-224639e8-d3db-4586-ba52-577de93845eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-413b9bc3-d39e-497a-8360-5ca2e3f7973c' class='xr-var-data-in' type='checkbox'><label for='data-413b9bc3-d39e-497a-8360-5ca2e3f7973c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Shortwave downwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[129.98727  , 130.12338  , 130.22444  , ..., 164.56998  ,\n",
+       "          164.88786  , 165.20677  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[129.99965  , 130.13536  , 130.23607  , ..., 164.55981  ,\n",
+       "          164.87746  , 165.19621  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[129.98694  , 130.12222  , 130.22266  , ..., 164.56802  ,\n",
+       "          164.88564  , 165.20433  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_dn_dir</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>103.2 103.4 103.5 ... nan nan nan</div><input id='attrs-3880d34a-bc5b-4fa1-877c-516a4bba5a18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3880d34a-bc5b-4fa1-877c-516a4bba5a18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c43e5f6-fc76-427e-abe2-3c9c0f7e0352' class='xr-var-data-in' type='checkbox'><label for='data-6c43e5f6-fc76-427e-abe2-3c9c0f7e0352' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Shortwave direct downwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[103.22776  , 103.38087  , 103.49451  , ..., 142.94357  ,\n",
+       "          143.32072  , 143.6989   ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[103.239845 , 103.392555 , 103.50587  , ..., 142.93344  ,\n",
+       "          143.31035  , 143.6884   ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[103.227325 , 103.379616 , 103.49264  , ..., 142.94176  ,\n",
+       "          143.3186   , 143.69661  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_up_clear</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>22.85 22.88 22.9 ... nan nan nan</div><input id='attrs-c54474d3-c183-4e75-ba57-7dc2d8cbf263' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c54474d3-c183-4e75-ba57-7dc2d8cbf263' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dccae03a-a246-47b7-82a1-1ca642dad037' class='xr-var-data-in' type='checkbox'><label for='data-dccae03a-a246-47b7-82a1-1ca642dad037' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Clear-sky shortwave upwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[22.854927  , 22.878485  , 22.896006  , ..., 29.351837  ,\n",
+       "          29.419485  , 29.487097  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[22.857103  , 22.880682  , 22.898224  , ..., 29.354013  ,\n",
+       "          29.42166   , 29.489271  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[22.854868  , 22.878471  , 22.896027  , ..., 29.352058  ,\n",
+       "          29.41971   , 29.487326  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "           0.        ,  0.        ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "           0.        ,  0.        ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "           0.        ,  0.        ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_dn_clear</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>130.0 130.1 130.2 ... nan nan nan</div><input id='attrs-583d113b-0e1e-4caf-be72-fb0766cf0cde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-583d113b-0e1e-4caf-be72-fb0766cf0cde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d42e2bd-bb23-4a7e-8c99-00263d7a1617' class='xr-var-data-in' type='checkbox'><label for='data-9d42e2bd-bb23-4a7e-8c99-00263d7a1617' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Clear-sky shortwave downwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[129.98727  , 130.12338  , 130.22444  , ..., 164.56998  ,\n",
+       "          164.88786  , 165.20677  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[129.99965  , 130.13536  , 130.23607  , ..., 164.55981  ,\n",
+       "          164.87746  , 165.19621  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[129.98694  , 130.12222  , 130.22266  , ..., 164.56802  ,\n",
+       "          164.88564  , 165.20433  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_dn_dir_clear</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>103.2 103.4 103.5 ... nan nan nan</div><input id='attrs-9b1a657f-d7ac-4662-acf6-2fda8e420352' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b1a657f-d7ac-4662-acf6-2fda8e420352' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53be1feb-bec7-4db0-857a-3328e47493e1' class='xr-var-data-in' type='checkbox'><label for='data-53be1feb-bec7-4db0-857a-3328e47493e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Clear-sky shortwave direct downwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[103.22776  , 103.38087  , 103.49451  , ..., 142.94357  ,\n",
+       "          143.32072  , 143.6989   ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[103.239845 , 103.392555 , 103.50587  , ..., 142.93344  ,\n",
+       "          143.31035  , 143.6884   ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[103.227325 , 103.379616 , 103.49264  , ..., 142.94176  ,\n",
+       "          143.3186   , 143.69661  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_up_ref</span></div><div class='xr-var-dims'>(time, NC, sample, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>23.2 23.88 24.69 ... 0.1828 0.183</div><input id='attrs-d38aaaa8-96fa-4675-b288-04f6fee3ea8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d38aaaa8-96fa-4675-b288-04f6fee3ea8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f73a0ad5-cd81-4df4-86a8-a1f4d5f4553c' class='xr-var-data-in' type='checkbox'><label for='data-f73a0ad5-cd81-4df4-86a8-a1f4d5f4553c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Shortwave upwelling flux of reference column</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01],\n",
+       "         [2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01],\n",
+       "         [2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01]],\n",
+       "\n",
+       "        [[2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01],\n",
+       "         [2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01],\n",
+       "         [2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01]],\n",
+       "\n",
+       "        [[2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01],\n",
+       "         [2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01],\n",
+       "         [2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01]],\n",
+       "...\n",
+       "        [[2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01],\n",
+       "         [2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01],\n",
+       "         [2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01]],\n",
+       "\n",
+       "        [[2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01],\n",
+       "         [2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01],\n",
+       "         [2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01]],\n",
+       "\n",
+       "        [[2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01],\n",
+       "         [2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01],\n",
+       "         [2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_dn_ref</span></div><div class='xr-var-dims'>(time, NC, sample, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>132.0 135.4 139.5 ... 0.6187 0.6207</div><input id='attrs-c9ada4f2-f9cf-4267-8330-2202cdd99cf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9ada4f2-f9cf-4267-8330-2202cdd99cf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07ebe730-73a1-4b77-ae80-e9b92afaf318' class='xr-var-data-in' type='checkbox'><label for='data-07ebe730-73a1-4b77-ae80-e9b92afaf318' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Shortwave downwelling flux of reference column</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02],\n",
+       "         [1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02],\n",
+       "         [1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02]],\n",
+       "\n",
+       "        [[1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02],\n",
+       "         [1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02],\n",
+       "         [1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02]],\n",
+       "\n",
+       "        [[1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02],\n",
+       "         [1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02],\n",
+       "         [1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02]],\n",
+       "...\n",
+       "        [[1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01],\n",
+       "         [1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01],\n",
+       "         [1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01]],\n",
+       "\n",
+       "        [[1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01],\n",
+       "         [1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01],\n",
+       "         [1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01]],\n",
+       "\n",
+       "        [[1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01],\n",
+       "         [1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01],\n",
+       "         [1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_dn_dir_ref</span></div><div class='xr-var-dims'>(time, NC, sample, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>105.2 109.1 113.8 ... 0.6185 0.6207</div><input id='attrs-daa0a1b6-c5fc-45fe-8ece-455bdb050ac4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-daa0a1b6-c5fc-45fe-8ece-455bdb050ac4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12263d88-6bdd-44c8-9bab-51f2fe84cc58' class='xr-var-data-in' type='checkbox'><label for='data-12263d88-6bdd-44c8-9bab-51f2fe84cc58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Shortwave direct downwelling flux of reference column</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02],\n",
+       "         [1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02],\n",
+       "         [1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02]],\n",
+       "\n",
+       "        [[1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02],\n",
+       "         [1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02],\n",
+       "         [1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02]],\n",
+       "\n",
+       "        [[1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02],\n",
+       "         [1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02],\n",
+       "         [1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02]],\n",
+       "...\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01],\n",
+       "         [3.12444676e-21, 1.64182313e-18, 1.10723977e-15, ...,\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01],\n",
+       "         [3.12444676e-21, 1.64182313e-18, 1.10723977e-15, ...,\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01]],\n",
+       "\n",
+       "        [[3.12444676e-21, 1.64182313e-18, 1.10723977e-15, ...,\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01],\n",
+       "         [3.12444676e-21, 1.64182313e-18, 1.10723977e-15, ...,\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01],\n",
+       "         [3.12444676e-21, 1.64182313e-18, 1.10723977e-15, ...,\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01]],\n",
+       "\n",
+       "        [[3.12444676e-21, 1.64182313e-18, 1.10723977e-15, ...,\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01],\n",
+       "         [3.12444676e-21, 1.64182313e-18, 1.10723977e-15, ...,\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01],\n",
+       "         [3.12444676e-21, 1.64182313e-18, 1.10723977e-15, ...,\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lw_flux_up_ref</span></div><div class='xr-var-dims'>(time, NC, sample, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>476.5 465.4 447.4 ... 282.1 282.1</div><input id='attrs-34f40916-9979-4ea1-86d1-7f4e73560008' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34f40916-9979-4ea1-86d1-7f4e73560008' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eb8262e-4003-47d5-a30f-00ffdfffb791' class='xr-var-data-in' type='checkbox'><label for='data-0eb8262e-4003-47d5-a30f-00ffdfffb791' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Longwave upwelling flux of reference column</dd></dl></div><div class='xr-var-data'><pre>array([[[[476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072]],\n",
+       "\n",
+       "        [[476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072]],\n",
+       "\n",
+       "        [[476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072]],\n",
+       "...\n",
+       "        [[476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072]],\n",
+       "\n",
+       "        [[476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072]],\n",
+       "\n",
+       "        [[476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lw_flux_dn_ref</span></div><div class='xr-var-dims'>(time, NC, sample, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>386.1 359.6 329.6 ... 0.0216 0.0</div><input id='attrs-38404529-02e8-43d1-b902-03ec82ad77f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38404529-02e8-43d1-b902-03ec82ad77f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0802802-50d8-4dce-a128-e67d6f7fe068' class='xr-var-data-in' type='checkbox'><label for='data-e0802802-50d8-4dce-a128-e67d6f7fe068' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Longwave downwelling flux of reference column</dd></dl></div><div class='xr-var-data'><pre>array([[[[3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00]],\n",
+       "\n",
+       "        [[3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00]],\n",
+       "\n",
+       "        [[3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00]],\n",
+       "...\n",
+       "        [[3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00]],\n",
+       "\n",
+       "        [[3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00]],\n",
+       "\n",
+       "        [[3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sza</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.39 1.39 1.39 ... 1.743 1.743</div><input id='attrs-9e828abe-79c4-4476-9587-550e3c60471e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e828abe-79c4-4476-9587-550e3c60471e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97619f40-f1b7-4e68-8bf5-4e269ba094ae' class='xr-var-data-in' type='checkbox'><label for='data-97619f40-f1b7-4e68-8bf5-4e269ba094ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad</dd><dt><span>long_name :</span></dt><dd>solar zenith angle</dd></dl></div><div class='xr-var-data'><pre>array([[[1.3903567 , 1.3903567 , 1.3903567 ],\n",
+       "        [1.3903567 , 1.3903567 , 1.3903567 ],\n",
+       "        [1.3903567 , 1.3903567 , 1.3903567 ],\n",
+       "        [1.3903567 , 1.3903567 , 1.3903567 ],\n",
+       "        [1.3903567 , 1.3903567 , 1.3903567 ],\n",
+       "        [1.3903567 , 1.3903567 , 1.3903567 ],\n",
+       "        [1.3903567 , 1.3903567 , 1.3903567 ]],\n",
+       "\n",
+       "       [[1.2909904 , 1.2909904 , 1.2909904 ],\n",
+       "        [1.2909904 , 1.2909904 , 1.2909904 ],\n",
+       "        [1.2909904 , 1.2909904 , 1.2909904 ],\n",
+       "        [1.2909904 , 1.2909904 , 1.2909904 ],\n",
+       "        [1.2909904 , 1.2909904 , 1.2909904 ],\n",
+       "        [1.2909904 , 1.2909904 , 1.2909904 ],\n",
+       "        [1.2909904 , 1.2909904 , 1.2909904 ]],\n",
+       "\n",
+       "       [[1.1894778 , 1.1894778 , 1.1894778 ],\n",
+       "        [1.1894778 , 1.1894778 , 1.1894778 ],\n",
+       "        [1.1894778 , 1.1894778 , 1.1894778 ],\n",
+       "        [1.1894778 , 1.1894778 , 1.1894778 ],\n",
+       "...\n",
+       "        [1.5686334 , 1.5686334 , 1.5686334 ],\n",
+       "        [1.5686334 , 1.5686334 , 1.5686334 ],\n",
+       "        [1.5686334 , 1.5686334 , 1.5686334 ],\n",
+       "        [1.5686334 , 1.5686334 , 1.5686334 ]],\n",
+       "\n",
+       "       [[1.6583372 , 1.6583372 , 1.6583372 ],\n",
+       "        [1.6583372 , 1.6583372 , 1.6583372 ],\n",
+       "        [1.6583372 , 1.6583372 , 1.6583372 ],\n",
+       "        [1.6583372 , 1.6583372 , 1.6583372 ],\n",
+       "        [1.6583372 , 1.6583372 , 1.6583372 ],\n",
+       "        [1.6583372 , 1.6583372 , 1.6583372 ],\n",
+       "        [1.6583372 , 1.6583372 , 1.6583372 ]],\n",
+       "\n",
+       "       [[1.7431656 , 1.7431656 , 1.7431656 ],\n",
+       "        [1.7431656 , 1.7431656 , 1.7431656 ],\n",
+       "        [1.7431656 , 1.7431656 , 1.7431656 ],\n",
+       "        [1.7431656 , 1.7431656 , 1.7431656 ],\n",
+       "        [1.7431656 , 1.7431656 , 1.7431656 ],\n",
+       "        [1.7431656 , 1.7431656 , 1.7431656 ],\n",
+       "        [1.7431656 , 1.7431656 , 1.7431656 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_dn_toa</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>236.5 236.5 236.5 ... 0.6207 0.6207</div><input id='attrs-a3846324-d0bd-4f69-a112-ce78e49669c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3846324-d0bd-4f69-a112-ce78e49669c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b0df398-47e7-4338-ad03-b014173810f2' class='xr-var-data-in' type='checkbox'><label for='data-9b0df398-47e7-4338-ad03-b014173810f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>shortwave downwelling flux at toa</dd></dl></div><div class='xr-var-data'><pre>array([[[2.36518433e+02, 2.36518433e+02, 2.36518433e+02],\n",
+       "        [2.36518433e+02, 2.36518433e+02, 2.36518433e+02],\n",
+       "        [2.36518433e+02, 2.36518433e+02, 2.36518433e+02],\n",
+       "        [2.36518433e+02, 2.36518433e+02, 2.36518433e+02],\n",
+       "        [2.36518433e+02, 2.36518433e+02, 2.36518433e+02],\n",
+       "        [2.36518433e+02, 2.36518433e+02, 2.36518433e+02],\n",
+       "        [2.36518433e+02, 2.36518433e+02, 2.36518433e+02]],\n",
+       "\n",
+       "       [[3.63963165e+02, 3.63963165e+02, 3.63963165e+02],\n",
+       "        [3.63963165e+02, 3.63963165e+02, 3.63963165e+02],\n",
+       "        [3.63963165e+02, 3.63963165e+02, 3.63963165e+02],\n",
+       "        [3.63963165e+02, 3.63963165e+02, 3.63963165e+02],\n",
+       "        [3.63963165e+02, 3.63963165e+02, 3.63963165e+02],\n",
+       "        [3.63963165e+02, 3.63963165e+02, 3.63963165e+02],\n",
+       "        [3.63963165e+02, 3.63963165e+02, 3.63963165e+02]],\n",
+       "\n",
+       "       [[4.90439331e+02, 4.90439331e+02, 4.90439331e+02],\n",
+       "        [4.90439331e+02, 4.90439331e+02, 4.90439331e+02],\n",
+       "        [4.90439331e+02, 4.90439331e+02, 4.90439331e+02],\n",
+       "        [4.90439331e+02, 4.90439331e+02, 4.90439331e+02],\n",
+       "...\n",
+       "        [1.68698406e+01, 1.68698406e+01, 1.68698406e+01],\n",
+       "        [1.68698406e+01, 1.68698406e+01, 1.68698406e+01],\n",
+       "        [1.68698406e+01, 1.68698406e+01, 1.68698406e+01],\n",
+       "        [1.68698406e+01, 1.68698406e+01, 1.68698406e+01]],\n",
+       "\n",
+       "       [[6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01]],\n",
+       "\n",
+       "       [[6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-18350d11-bd22-4232-a76f-6383f15d4107' class='xr-section-summary-in' type='checkbox'  ><label for='section-18350d11-bd22-4232-a76f-6383f15d4107' class='xr-section-summary' >Indexes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-01603704-91ba-47f7-9cb9-41bd1b978d84' class='xr-index-data-in' type='checkbox'/><label for='index-01603704-91ba-47f7-9cb9-41bd1b978d84' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  10.0,   21.0,   33.0,   46.0,   60.0,   75.0,   92.0,  111.0,\n",
+       "               132.0,  155.0,\n",
+       "              ...\n",
+       "              3620.0, 3660.0, 3700.0, 3740.0, 3780.0, 3820.0, 3860.0, 3900.0,\n",
+       "              3940.0, 3980.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;z&#x27;, length=107))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>zh</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-14da04e1-a6ef-4b9c-a9cd-1d499267e754' class='xr-index-data-in' type='checkbox'/><label for='index-14da04e1-a6ef-4b9c-a9cd-1d499267e754' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([   0.0,   15.5,   27.0,   39.5,   53.0,   67.5,   83.5,  101.5,\n",
+       "               121.5,  143.5,\n",
+       "              ...\n",
+       "              3640.0, 3680.0, 3720.0, 3760.0, 3800.0, 3840.0, 3880.0, 3920.0,\n",
+       "              3960.0, 4000.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;zh&#x27;, length=108))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>zs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5531e266-6fca-4ca9-a9ce-144bd4e277c1' class='xr-index-data-in' type='checkbox'/><label for='index-5531e266-6fca-4ca9-a9ce-144bd4e277c1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ -1.8899999856948853,  -0.7200000286102295, -0.20999999344348907,\n",
+       "              -0.07000000029802322],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;zs&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>zsh</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c7e4a130-467a-4385-99bb-9491a1d3f7e8' class='xr-index-data-in' type='checkbox'/><label for='index-c7e4a130-467a-4385-99bb-9491a1d3f7e8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  -2.619999885559082,  -1.1600000858306885,  -0.2799999713897705,\n",
+       "              -0.14000000059604645,                  0.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;zsh&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>sample</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-97684d7d-c534-4174-8684-24ac5b7d9dfe' class='xr-index-data-in' type='checkbox'/><label for='index-97684d7d-c534-4174-8684-24ac5b7d9dfe' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;default&#x27;, &#x27;ql&#x27;, &#x27;qlcore&#x27;], dtype=&#x27;object&#x27;, name=&#x27;sample&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>NC</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-97c0b32f-f0ee-433e-914d-123cea06c767' class='xr-index-data-in' type='checkbox'/><label for='index-97c0b32f-f0ee-433e-914d-123cea06c767' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([10, 50, 80, 100, 200, 400, 800], dtype=&#x27;int64&#x27;, name=&#x27;NC&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-12ec749a-88fd-4479-a3c4-5e221176f320' class='xr-index-data-in' type='checkbox'/><label for='index-12ec749a-88fd-4479-a3c4-5e221176f320' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2016-06-11 12:00:00&#x27;, &#x27;2016-06-11 12:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 13:00:00&#x27;, &#x27;2016-06-11 13:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 14:00:00&#x27;, &#x27;2016-06-11 14:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 15:00:00&#x27;, &#x27;2016-06-11 15:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 16:00:00&#x27;, &#x27;2016-06-11 16:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 17:00:00&#x27;, &#x27;2016-06-11 17:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 18:00:00&#x27;, &#x27;2016-06-11 18:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 19:00:00&#x27;, &#x27;2016-06-11 19:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 20:00:00&#x27;, &#x27;2016-06-11 20:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 21:00:00&#x27;, &#x27;2016-06-11 21:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 22:00:00&#x27;, &#x27;2016-06-11 22:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 23:00:00&#x27;, &#x27;2016-06-11 23:30:00&#x27;,\n",
+       "               &#x27;2016-06-12 00:00:00&#x27;, &#x27;2016-06-12 00:30:00&#x27;,\n",
+       "               &#x27;2016-06-12 01:00:00&#x27;, &#x27;2016-06-12 01:30:00&#x27;,\n",
+       "               &#x27;2016-06-12 02:00:00&#x27;, &#x27;2016-06-12 02:30:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;30T&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fad0e16e-6bf4-4e12-bf2c-4571ba02fdf6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fad0e16e-6bf4-4e12-bf2c-4571ba02fdf6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:               (z: 107, zh: 108, zs: 4, zsh: 5, sample: 3, NC: 7,\n",
+       "                           time: 30, lev: 141)\n",
+       "Coordinates:\n",
+       "  * z                     (z) float32 10.0 21.0 33.0 ... 3.94e+03 3.98e+03\n",
+       "  * zh                    (zh) float32 0.0 15.5 27.0 ... 3.92e+03 3.96e+03 4e+03\n",
+       "  * zs                    (zs) float32 -1.89 -0.72 -0.21 -0.07\n",
+       "  * zsh                   (zsh) float32 -2.62 -1.16 -0.28 -0.14 0.0\n",
+       "  * sample                (sample) object 'default' 'ql' 'qlcore'\n",
+       "  * NC                    (NC) int64 10 50 80 100 200 400 800\n",
+       "  * time                  (time) datetime64[ns] 2016-06-11T12:00:00 ... 2016-...\n",
+       "Dimensions without coordinates: lev\n",
+       "Data variables: (12/141)\n",
+       "    p_rad                 (time, NC, sample, lev) float32 9.645e+04 ... 3.53\n",
+       "    iter                  (time, NC, sample) float64 1.738e+05 ... 2.484e+05\n",
+       "    area                  (time, NC, sample, z) float32 1.0 1.0 1.0 ... 0.0 0.0\n",
+       "    areah                 (time, NC, sample, zh) float32 1.0 1.0 1.0 ... 0.0 0.0\n",
+       "    u                     (time, NC, sample, z) float32 -0.09499 ... nan\n",
+       "    u_3                   (time, NC, sample, z) float32 -0.001409 ... nan\n",
+       "    ...                    ...\n",
+       "    sw_flux_dn_ref        (time, NC, sample, lev) float32 132.0 135.4 ... 0.6207\n",
+       "    sw_flux_dn_dir_ref    (time, NC, sample, lev) float32 105.2 109.1 ... 0.6207\n",
+       "    lw_flux_up_ref        (time, NC, sample, lev) float32 476.5 465.4 ... 282.1\n",
+       "    lw_flux_dn_ref        (time, NC, sample, lev) float32 386.1 359.6 ... 0.0\n",
+       "    sza                   (time, NC, sample) float32 1.39 1.39 ... 1.743 1.743\n",
+       "    sw_flux_dn_toa        (time, NC, sample) float32 236.5 236.5 ... 0.6207"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Explore the data set. \n",
+    "prof"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f7fc0ca8e80>]"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# We first explore a few basic statistics, such as overall cloud cover, LWP, cloud base height, and cloud top height\n",
+    "plt.figure()\n",
+    "prof.sel(NC=100, sample='default')['ql_cover'].plot()\n",
+    "\n",
+    "plt.figure()\n",
+    "prof.sel(NC=100, sample='default')['ql_path'].plot()\n",
+    "\n",
+    "plt.figure()\n",
+    "prof.sel(NC=100, sample='default')['qr_path'].plot()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f7fc0b5bd30>"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "prof.sel(NC=100, sample='default')['ql'].where(prof.sel(NC=100, sample='default').ql>0).plot(x='time')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f7fc0ad2b60>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc0ad2b00>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc0ad2d10>]"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    " #At 22:00, we are at peak cloudiness. Let's explore the vertical structure of the cloud at this time\n",
+    " plt.figure()\n",
+    " prof.sel(time='2016-06-11T22:00', NC=100).thl.plot.line(y='z', hue='sample')\n",
+    " plt.figure()\n",
+    " prof.sel(time='2016-06-11T22:00', NC=100).qt.plot.line(y='z', hue='sample')\n",
+    " plt.figure()\n",
+    " prof.sel(time='2016-06-11T22:00', NC=100).w.plot.line(y='zh', hue='sample')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Now for the moisture flux: Is this correct??\n",
+    "prof.sel(sample='default', NC=100, time=\"2016-06-11T22:00\").qt_w.plot(y='zh')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f7fc05f63e0>]"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#We should not forget to add the Sub Filter Scale Fluxes; the MicroHH output has that automatically as '_flux'. What do you notice about the following plot?\n",
+    "prof.sel(sample='default', NC=100, time=\"2016-06-11T22:00\").qt_w.plot(y='zh')\n",
+    "prof.sel(sample='default', NC=100, time=\"2016-06-11T22:00\").qt_diff.plot(y='zh')\n",
+    "prof.sel(sample='default', NC=100, time=\"2016-06-11T22:00\").qt_flux.plot(y='zh')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f7fc065b310>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc065b340>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc065b0d0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc062dde0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc065ad10>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc0659300>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc0659f30>]"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Calculate the cloud base and cloud top heights, that is, the first and last point where the liquid water content is larger than zero\n",
+    "prof['cb'] = (prof['ql']>0).idxmax(dim='z')\n",
+    "prof['cb'] = prof.cb.where(prof.cb>prof.z[0]) # remove cloud base if they are at the lowest level \n",
+    "\n",
+    "prof['ct'] = (prof['ql']>0).isel(z=slice(None, None, -1)).idxmax(dim='z')\n",
+    "prof['ct'] = prof.ct.where(prof.ct<prof.z[-1]) # remove cloud top if they are at the highest level\n",
+    "\n",
+    "# Plot them\n",
+    "prof.sel(sample='default')['cb'].plot.line(hue='NC')\n",
+    "prof.sel(sample='default')['ct'].plot.line(hue='NC')\n",
+    "# prof.sel(sample='default')['ct'].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xarray.plot.facetgrid.FacetGrid at 0x7f7fc5afbe50>"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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10gZclmVVaztV/5PbazKmU5/8/Hz96U9/0ooVKxzv5UwjkwoAAAAAAIQXyzr+Csa4kvbu3auEhARv88lZVJLUokULRUZGVsua2r9/f7UspxNSUlJs+0dFRSkpKcmxz4kxa3Ld9957T/v371fbtm29x91ut+6++24tWLBAX375pfFHEExMUiFkIg07MTcuNC+LqWps/1fWtJwnosJQaV3m1E9XldNyIvsZZpdh+Y8kWYaliJFHzcXR3WeZC68C9c3Bbs2Mxxrts1/D646zT/SNKjPHtAyh63L7vzTItLRXklxR/t+baXlx38gRxnNy3GuMx4C6Ku4HUyDaN8ccMsenaVlfhMOyfFO8uwyxLkkREfbneKIdFhwY/tHjKnfY+OQIhdMBIJwkJCT4TFLZiYmJUVpamnJycnTTTTd523NycjRkyBDbczIyMvTGG2/4tG3YsEE9evRQdHS0t09OTo4mTJjg06dnz541vm5mZqauvfZan+v0799fmZmZuu2220719oOGSSoAAAAAABBWgl2TqqYmTpyozMxM9ejRQxkZGVq2bJn27NmjsWPHSjq+M98333yjF154QZI0duxYLVq0SBMnTtTo0aOVl5en5cuXe3ftk6S77rpLV155pebOnashQ4botdde08aNG7V58+YaXzcpKcmbmXVCdHS0UlJS1LFjx0B+NLWCSSqETMtN39q2V6U0NZ4T5bHPujA9VXXKinKZUj+dMqkMD1Vd0eat560IQ+F00z72kqJKDWlmQD3kWBjZkFEYWWEfNxHHnLIjDZkNTjFt+hxwWJcfYcikktvhNxbTZ0eMYQcJoJ4yFUg3iT5szjwyxbvT96fLFIdOnwOGzElXlUMmlWk4h3uzKh2yrAAAYWvEiBH6/vvv9eCDD6qwsFBdu3bV+vXr1a5dO0lSYWGh9uzZ4+3fvn17rV+/XhMmTNBTTz2l1NRUPfnkkxo6dKi3T8+ePbV69Wrdf//9mj59us477zytWbNG6enpNb5uXcUkFQAAAAAACC/Wf1/BGNdP48aN07hx42yPrVixolpb7969tWPHDscxhw0bpmHDhgV8XTuhqkP1U0xSIWSqWibatruqzJkSUeWGTIkKw9NJhyeaxvo1DtdXhP3TVsshk8rIIevC6SkxUN/E7TdnBpr+rrvK7GPaVekQn25D1oVThlMAmVSWKZPKqTCnIaMyGL83AaEUc9BQV9IQUq5Kh5pxxwxjOcSaMd6d4tMQ70616YyZVOXmuppWOVnSAACcCpNUAAAAAAAgrNSVmlTwD5NUCKp+0b8yHnOldbZtjyizrzslOWRRmOo8OOzqJY9hLKdMKtPuftEOu/FZAWRFHT5q22zaCYxdwFCXOca0KZPKFOtO8Wk6Zop1STLsuufEFelQp8Yk0j7b0nVWY+MpfSN+adue4/mr/9cHatGA5qONxyLOa21/wFATypgJLcllykpyitsqw3hOmVSGmHZFOGRJB/DdHtGokd/nAADQ0DBJBQAAAAAAwotlOT+kOJ1xETQhnaSaM2eOXnnlFX366aeKj49Xz549NXfuXJ/tDi3L0qxZs7Rs2TIVFxcrPT1dTz31lLp06eLtU15erkmTJunll19WWVmZrrnmGi1evFitW//4NK+4uFjjx4/X66+/LkkaPHiwFi5cqKZNm56x99sQRaYkmw+WHrNvd9r9xvRU1VCLxvhEVZJlOscp+8rAFRVAKMWYs69M90bGFOqy/vGZtu0RyS3MJ5myEE2xW2HOyjJ9DlgOnwOBZVIFUIPOkKnhWKPGFUDGFnAGuBxi2lVa5t9gZYbfBSSp0hDvTjvomb7bnWLdUG/S5RSDhnNM9eckGT8HAADBwXK/+imk35a5ubn6wx/+oPfff185OTmqqqpSv379dOTIEW+fRx99VPPmzdOiRYu0bds2paSkqG/fvjp06JC3T1ZWltatW6fVq1dr8+bNOnz4sAYNGiT3T35RGTlypAoKCpSdna3s7GwVFBQoM9P+H1QAAAAAAAA4swLKpLr66qvVu3dvzZgxw6e9uLhYQ4cO1dtvv12jcbKzs33+/Nxzz6lly5bKz8/XlVdeKcuytGDBAk2bNk0333yzJOn5559XcnKyXnrpJY0ZM0YlJSVavny5XnzxRV177bWSpJUrV6pNmzbauHGj+vfvr127dik7O1vvv/++0tPTJUnPPPOMMjIy9Nlnn/lkbgEAAAAAgHrOUnC2UiaTKqgCmqR655139NFHH2nnzp1atWqVGjc+Xvi1oqJCubm5Ad9MSUmJJKl58+aSpN27d6uoqEj9+vXz9omNjVXv3r21ZcsWjRkzRvn5+aqsrPTpk5qaqq5du2rLli3q37+/8vLylJiY6J2gkqTLLrtMiYmJ2rJlC5NUtcBUIN1xud9Rw5IAh8LI1jH/lgga0/4l87I+p2KohtR/Sw5LdkzLCCocws+wXMD0c95Qudo8FnCGuOLj7A84LeE1xaFhmY/ltNzPsKzPcrp+AAL6vSSAZT4s70WoDWw/0f6A0xJ30xI9U6wfM39/WhX2S/wD+m4PgGOsm77bnZYDOyzzBwAAxwW83G/jxo0qKirSZZddpi+//PK0b8SyLE2cOFFXXHGFunbtKkkqKiqSJCUn+050JCcne48VFRUpJiZGzZo1c+zTsmXLatds2bKlt8/JysvLVVpa6vMCEH6IdaDhIN4BAGg4TtSkCsYLwRNw4fRWrVopNzdXv/3tb/WLX/xCf/3rX9WpU6eAb+SOO+7QP/7xD23evLnaMZfL92mVZVnV2k52ch+7/k7jzJkzR7NmzarJrUPmbZWtI0eN57gMTxSdMiWMRYZNBZMdCqW6TEVPnQSw5bQMD3ydngSb7puMqdpHrNciUxw6FAc3FSY2neMYNwFkTJk+BwL57HDO7qBgcl1AvPvJtLFB6SH7dgemDQwsh0wqY3ZkbcdnIJsUmIZzKtBuyAwDAAA/Cui35hMTO7GxsVq1apXuuusuDRgwQIsXLw7oJu688069/vrr2rRpk8+OfCkpKZJULdtp//793uyqlJQUVVRUqLi42LHPvn37ql33u+++q5aldcKUKVNUUlLife3duzeg9wagbiPWgYaDeAcAoAHxWMF7IWgCyqSyLN//Kffff786deqkW265xe9x7rzzTq1bt07vvPOO2rdv73O8ffv2SklJUU5Oji6++GJJP9a9mjt3riQpLS1N0dHRysnJ0fDhwyVJhYWF+vjjj/Xoo49KkjIyMlRSUqIPPvhAl156qSRp69atKikpUc+ePW3vLTY2VrGxsX69nwbNVIPBMgewVW6oNeH0VNWQyWR8quqU+RRl///X47AddkS0fch4HDI4AsnYImPqzCHWa5Fp63Wn7EhTeyB15kzx7pAlYRovIj7eeI7H6TPKeCH7eyPWzyzi3T9WfIz9gR8cshZNsWvIijJlYErm73bH71VDvG+oXGU8pW/kCNMNGM+JiDH8bBzOcfz8AgAAkgKcpNq9e7fOPvtsn7ahQ4fqggsu0Pbt22s8zh/+8Ae99NJLeu2119SkSRNvxlRiYqLi4+PlcrmUlZWl2bNnq0OHDurQoYNmz56tRo0aaeTIkd6+o0aN0t13362kpCQ1b95ckyZNUrdu3by7/XXq1EkDBgzQ6NGj9fTTT0uSbr/9dg0aNIii6QAAAAAAhBt296uXApqkateunW17ly5d1KVLlxqPs2TJEklSnz59fNqfe+453XrrrZKkyZMnq6ysTOPGjVNxcbHS09O1YcMGNWnSxNt//vz5ioqK0vDhw1VWVqZrrrlGK1asUORPsntWrVql8ePHe3cBHDx4sBYtWlTje4Uz0w48TrvcmGpPWVUOWReGp6qB7ILVP+7XtTYWAJlrUjnWaqq9zALTdXI8ZCsBgXCVHrFtd6wdadqRL4ClERsqXvL7nEDwvQ8AQN0RcOH02nDyskE7LpdLM2fO1MyZM4194uLitHDhQi1cuNDYp3nz5lq5cmUgtwkAAAAAAOoRl4KzE18A22/BDyGdpEIYcRtqRTmdE+IaLW8dM9enAOA/U60mp/ox/taTo4YTcOZYB0tt253qspkyqDdUvGjb3i/6V/7fGAAACFtMUgEAAAAAgPBiWY4beZ3WuAga85ZHAAAAAAAAwBlCJhWCyio3Lwlg2Q4QXkxFjvtG/NJ4To7nr8G6HQCnyV16yLY9IibGeM5bZfbL+kz4XQAAECwuK0g1qUikCiomqQAAAAAAQHixdIoiyacxLoKGSSrUCn+fnAJoOMiWAuqnHPeaUN8CAABoYJikAgAAAAAAYcVlWXIFoch5MMbEj5ikQlANTP698dib+5acwTsBAAAAAAB1GZNUAAAAAAAgvHj++wrGuAgaJqkQVGRLAQAAAACAmmCSCgAAAAAAhBVqUtVPEaG+AQAAAAAAAIBMKgAAAAAAEF6s/76CMS6ChkwqAAAAAAAAhByZVAAAAAAAILxY1vFXMMZF0JBJBQAAAAAAgJAjkwoAAAAAAIQVl3X8FYxxETxMUgEAAAAAgPDCcr96ieV+AAAAAAAACDkyqQAAAAAAQFhxeY6/gjEugodMKgAAAAAAAIQcmVQAAAAAACC8UJOqXiKTCgAAAAAAACFHJhUAAAAAAAgv1n9fwRgXQUMmFQAAAAAAAEKOTCoAAAAAABBWXJYlVxDqRwVjTPyITCoAAAAAAACEHJlUAAAAAAAgvLC7X71EJhUAAAAAAABCjkwqAAAAAAAQXixJniCNi6AhkwoAAAAAAAAhRyYVAAAAAAAIK+zuVz8xSQUAAAAAAMKLpSAVTq/9IfEjlvsBAAAAAAAg5MikAgAAAAAA4cWygpRJRSpVMJFJBQAAAAAAgJAjkwoAAAAAAIQXjyRXkMZF0JBJBQAAAAAAECSLFy9W+/btFRcXp7S0NL333nuO/XNzc5WWlqa4uDide+65Wrp0abU+a9euVefOnRUbG6vOnTtr3bp1fl23srJS9957r7p166bGjRsrNTVVv/nNb/Ttt9+e/hs+DUxSAQAAAACAsOKyrKC9/LFmzRplZWVp2rRp2rlzp3r16qWBAwdqz549tv13796t6667Tr169dLOnTs1depUjR8/XmvXrvX2ycvL04gRI5SZmakPP/xQmZmZGj58uLZu3Vrj6x49elQ7duzQ9OnTtWPHDr3yyiv6/PPPNXjw4AB+2rXHZVlU/aqJ0tJSJSYmqqSkRAkJCaG+HeCMaygx0FDeJ+CkocRBQ3mfgAkxACAcnfhsu6brZEVFxtb6+FXucv3fx4/W+LMzPT1dl1xyiZYsWeJt69Spk2688UbNmTOnWv97771Xr7/+unbt2uVtGzt2rD788EPl5eVJkkaMGKHS0lK9+eab3j4DBgxQs2bN9PLLLwd0XUnatm2bLr30Un311Vdq27btKd9bMJBJBQAAAAAAwsuJ3f2C8dLxybCfvsrLy6vdQkVFhfLz89WvXz+f9n79+mnLli22t52Xl1etf//+/bV9+3ZVVlY69jkxZiDXlaSSkhK5XC41bdrU2CfYmKQCAAAAAADwQ5s2bZSYmOh92WUnHThwQG63W8nJyT7tycnJKioqsh23qKjItn9VVZUOHDjg2OfEmIFc99ixY7rvvvs0cuTIkGbXsrsfAAAAAAAILz/Jeqr1cSXt3bvXZzInNta8tNDl8t1m0LKsam2n6n9ye03GrOl1Kysr9atf/Uoej0eLFy823teZwCQVAAAAAACAHxISEk6ZcdSiRQtFRkZWy17av39/tSynE1JSUmz7R0VFKSkpybHPiTH9uW5lZaWGDx+u3bt36+233w55jcKQLvd79913dcMNNyg1NVUul0uvvvqqz3HLsjRz5kylpqYqPj5effr00SeffOLTp7y8XHfeeadatGihxo0ba/Dgwfr66699+hQXFyszM9ObhpeZmamDBw8G+d0BAAAAAICQCHJNqpqIiYlRWlqacnJyfNpzcnLUs2dP23MyMjKq9d+wYYN69Oih6Ohoxz4nxqzpdU9MUP3rX//Sxo0bvZNgoRTSSaojR47ooosu0qJFi2yPP/roo5o3b54WLVqkbdu2KSUlRX379tWhQ4e8fbKysrRu3TqtXr1amzdv1uHDhzVo0CC53W5vn5EjR6qgoEDZ2dnKzs5WQUGBMjMzg/7+AAAAAABACHiC+PLDxIkT9eyzz+rPf/6zdu3apQkTJmjPnj0aO3asJGnKlCn6zW9+4+0/duxYffXVV5o4caJ27dqlP//5z1q+fLkmTZrk7XPXXXdpw4YNmjt3rj799FPNnTtXGzduVFZWVo2vW1VVpWHDhmn79u1atWqV3G63ioqKVFRUpIqKCv/eZC0K6XK/gQMHauDAgbbHLMvSggULNG3aNN18882SpOeff17Jycl66aWXNGbMGJWUlGj58uV68cUXde2110qSVq5cqTZt2mjjxo3q37+/du3apezsbL3//vtKT0+XJD3zzDPKyMjQZ599po4dO56ZNwsAAAAAABqUESNG6Pvvv9eDDz6owsJCde3aVevXr1e7du0kSYWFhdqzZ4+3f/v27bV+/XpNmDBBTz31lFJTU/Xkk09q6NCh3j49e/bU6tWrdf/992v69Ok677zztGbNGu+cR02u+/XXX+v111+XJHXv3t3nnjdt2qQ+ffoE6SfirM7WpNq9e7eKiop8tkyMjY1V7969tWXLFo0ZM0b5+fmqrKz06ZOamqquXbtqy5Yt6t+/v/Ly8pSYmOjzP+uyyy5TYmKitmzZwiQVAAAAAABhxmVZcgWhcHogY44bN07jxo2zPbZixYpqbb1799aOHTscxxw2bJiGDRsW8HXPOeccb0H2uqTOTlKdKPBlt2XiV1995e0TExOjZs2aVetz4vyioiK1bNmy2vgtW7Y0br0oHa91VV5e7v1zaWlpYG8EQJ1GrAMNB/EOAABQt4W0JlVN+LtVo10fu/6nGmfOnDneQuuJiYlq06aNn3cOoD4g1oGGg3gHAKABqQOF0+G/OjtJlZKSIkmOWyampKSooqJCxcXFjn327dtXbfzvvvvOuOWjdLx4WUlJife1d+/e03o/AOomYh1oOIh3AACAuq3OTlK1b99eKSkpPlsmVlRUKDc317tlYlpamqKjo336FBYW6uOPP/b2ycjIUElJiT744ANvn61bt6qkpMS45aN0vP5VQkKCzwtA+CHWgYaDeAcAoAHxWMF7IWhCWpPq8OHD+ve//+398+7du1VQUKDmzZurbdu2ysrK0uzZs9WhQwd16NBBs2fPVqNGjTRy5EhJUmJiokaNGqW7775bSUlJat68uSZNmqRu3bp5d/vr1KmTBgwYoNGjR+vpp5+WJN1+++0aNGgQRdMBAAAAAADqiJBOUm3fvl1XXXWV988TJ06UJN1yyy1asWKFJk+erLKyMv3/7d17cFTl/cfx7wEMCHKbFA2XxMQablK5DCEqKFh0qiBCAEFkFLGtUqtIBxVHZHTUkWmRAm1VdBSh6ghSpXWUW6EoCAqIl6YionIRREFEk3BLYvbz+4PfrkQSSDZ7OefZ92um02GzOZ/97nO+Ocdnnz3n1ltvte+++87y8/Nt+fLl1rRp08jvzJgxwxo0aGAjRoywI0eOWP/+/W3u3LlWv379yHNeeOEFGz9+fOQugFdffbX97W9/S1CVAAAAAAAgoeJ1/SiuSRVXnvx4z0EfKi4utubNm1tRURFfD0BKSpUeSJU6gZNJlT5IlTqB6tADAFwU/tt22Tl3WIP6DWO+/R8qSm3Ftln87YyTpK6kAgAAAAAAiL143YmPdT7x5NsLpwMAAAAAACB1sJIKAAAAAAC4hWtSBRIrqQAAAAAAAJB0rKQCAAAAAABuCcnicv2oECup4olJKgAAAAAA4BaFjv0vHttF3PB1PwAAAAAAACQdK6kAAAAAAIBbuHB6ILGSCgAAAAAAAEnHSioAAAAAAOAWLpweSKykAgAAAAAAQNKxkgoAAAAAALiFa1IFEiupAAAAAAAAkHSspAIAAAAAAG6RxWklVew3iR+xkgoAAAAAAABJx0oqAAAAAADgFq5JFUispAIAAAAAAEDSsZIKAAAAAAC4JRQys1Cctot4YZIKAAAAAAC4ha/7BRJf9wMAAAAAAEDSsZIKAAAAAAC4hZVUgcRKKgAAAAAAACQdK6kAAAAAAIBbQjKzOKx6CrGSKp5YSQUAAAAAAICkYyUVAAAAAABwihQyKRSX7SJ+WEkFAAAAAACApGMlFQAAAAAAcIsUn+tHcXe/uGIlFQAAAAAAAJKOlVQAAAAAAMAtitPd/VhJFVespAIAAAAAAEDSsZIKAAAAAAC4JRQy8+JwJz7u7hdXrKQCAAAAAABA0rGSCgAAAAAAuIVrUgUSk1QAAAAAAMApCoVMcfi6n/i6X1zxdT8AAAAAAAAkHSupAAAAAACAW/i6XyCxkgoAAAAAAABJx0oqAAAAAADglpDMPFZSBQ0rqQAAAAAAAJB0rKQCAAAAAABukcwsDnfiYyVVXLGSCgAAAAAAAEnHSioAAAAAAOAUhWSKwzWpxEqquGIlFQAAAAAAAJKOlVQAAAAAAMAtCll8rkkVh20igpVUAAAAAAAASDpWUgEAAAAAAKdwTapgYpIKAAAAAAC4ha/7BRKTVDUUni0tLi5O8isBkiO877v+yQG9DtDvQKpIlV4HkJp+sHKzOPx5+8HKY79RRDBJVUMlJSVmZpaZmZnkVwIkV0lJiTVv3jzZLyNu6HXgR/Q7kBpc73UAqSUtLc0yMjLsra8Xxy0jIyPD0tLS4rb9VOaJj05qJBQK2Z49e6xp06ZWUlJimZmZtmvXLmvWrFncMouLi53JcamWVM2RZCUlJdamTRurV8/dey7Q6+QkOsOPOfR78scgCDku1ZKqOanS6wBSz9GjR62srCxu209LS7NGjRrFbfupjJVUNVSvXj1r166dmZl5nmdmZs2aNYvryUWYSzku1ZKKOanwKSu9Tk6yMvyWQ7/Hl0s5LtWSijmp0OsAUk+jRo2YRAooPjIBAAAAAABA0jFJBQAAAAAAgKRjkioKDRs2tPvvv98aNmxIjo8yyPF/TtC49v6T488MF3OCyLUxoD/Iod8BAEHEhdMBAAAAAACQdKykAgAAAAAAQNIxSQUAAAAAAICkY5IKAAAAAAAAScckFQAAAAAAAJKOSaqfcPE68i7WFE+uvV+u1RNLrr03rtWTCC69Zy7VEmsuvjcu1hRPrr1frtUDAEAYk1THqaiosJKSkrjnlJaW2iuvvGJlZWVxzTl69Kjde++99tRTT8U1p7S01NatW2c7d+6Ma055ebl9+eWXkX/H4wQtUftAImoxS1w9QeRSv9Pr0XGp3+n16rnU62b0ezRc6nUz+h0A4DYmqf7fjBkzrHfv3jZkyBCbMGGCff7552ZmFgqFYppz6NAh69Kliw0fPtxWr14d020f75lnnrGMjAzbsGGDnXbaaXbkyJG45MycOdOys7Ptlltusa5du9rs2bOtoqIi5jnTp0+33NxcGzhwoF111VX29ttvm+d5Mc1I1D6QiFrMEldPELnU7/R6dFzqd3q9ei71uhn9Hg2Xet2MfgcApACluK1bt+qXv/ylcnNzNXfuXN1zzz264IILdPnll8c8KxQK6eDBgyooKND555+vvLw8HTx4MOY5n332mS6++GLNnj075ts+3n333acOHTro9ddf16effqopU6aoRYsWOnz4cExzpk+fruzsbP3jH//QnDlzNHjwYP3sZz/TqlWrYrL9RO4D8a5FSmw9QeNav9PrtedSv9Pr1XOt1yX6vbZc6nWJfgcApI6UnqSqqKjQ9OnTNWDAAH355ZeRxxcuXKiuXbvq448/jnnmhx9+qO7du2v79u1q0qSJHnvsscjPQqFQTDKmT5+u7t27S5J27typKVOm6Omnn9aaNWtisn1J2r9/v/Lz8/Xoo49GHtu6das6d+6sb775RlLd66moqFB5ebmuvPJK/e53v6v0sz59+uiKK67Q+++/X+eMROwDiaglnJPofTooXOx3er32Oa70O71ePRd7XaLfa5vhSq+Hc+h3AECqSOmv+0my3Nxc+/3vf29t2rSJLJU+44wz7Ouvv7b09PSYZ3qeZ5mZmZadnW3jxo2zhx56KHLNgtLS0phkfPbZZ3b55ZfbkiVLrGfPnrZx40abPXu29e/f35544omYfD2gSZMm9t///tcaNmwYeWzy5MnWunVrW7hwoe3Zs6fOGfXq1bNQKGSFhYXWo0cPMzt2LQ6zY19F2Lp1qy1durRO71tFRUVC9oFE1GJm9sMPPyR8nw4KF/udXq8dl/qdXq+ei71uRr/Xhku9bka/AwBSTDJnyBJtyZIlkU8Aw/9fUVER+Xn4sQULFqh79+4qKSmpc85Pvf766+rZs2fk31lZWerXr5+6dOmiRYsW1SknXMvkyZOVnZ2t2267TU8++aR++OEHSdLEiROVn5+vxYsX1yknvL0pU6aoZcuWGjx4sJo1a6Zu3brpD3/4gzp27Kj8/Hy9+uqrtcp5+eWXNWPGDC1fvlzfffdd5PERI0aob9++J9Q5btw49ezZU7t3744q48CBA5Kk0tLSyM9jtQ/MmzdPEyZM0Lx587R3797I48OHD49ZLT/N+frrr0/4eazqCSKX+p1ej64/XOp3er16LvV6VTn0e+0ygt7rP82h3wEAqSYlJqk2b96svn37yvM8PfTQQ5Iqn8CGhQ/6d9xxh66//vpqn1eXnOnTp2vy5MmSpLVr16pdu3byPE/33HOPysvLY5KzceNGtW7dWvXq1dPatWsjjxcVFSk3N1ezZs2KWT07d+7Ub3/7W1177bWRE9xQKKQePXro3nvvrdH7t2nTJnXt2lXnnnuu+vXrp4yMDA0aNCiyrXnz5qldu3aRE/AjR45Iknbt2iXP8/TOO+/UKeN4dd0Hvv76a/Xv319t27ZVQUGBsrKy1KFDh8hrfP7559W2bds61VJdTseOHSv9figUqnM9QeRSv9Pr0fWHS/1Or1fPpV6vSQ79XruM4wWh16vLod8BAKnG+Umq7du3a8yYMRo+fLjuuOMONW3aNPLpV3WfiHbs2FHPPPNMpW2c7Pk1yQmf5M2cOVO/+tWvdM011ygtLU3jx49XXl6eCgoKanQie7Kc8AnKN998o9tuu02nn3663n777Uo/y8/P1y233FKnnOPfh5KSEnXr1k1LliyR9OOJ2WWXXaYBAwacMmfjxo264IILNHHiRJWUlKioqEgrVqxQo0aNtHz5cknSxx9/rGHDhqlPnz6R3wuFQtq3b5+ysrI0Z86cqDNWrFhxQk1SdPuAdOz6EJ07d468V0ePHlVeXp4GDhyowsJC7d27V0OGDIm6llPlDBo0SOvXr5dU+YQ12nqCxqV+p9cVeQ216Q/X+p1er5pLvX6qHPq99hlB7PWT5aR6vwMAUovzk1SHDh3SjBkztH79en311Vc6//zzdd1110mq+iD+4YcfKiMjQ19++aW+/fZb3XTTTfI8T5988klMch544AE1bdpUgwYN0nvvvSdJWrdunTzP0yuvvFKneo4/cXnvvffUvn17DRgwQFu3bpV07NPTvLw8vfHGG3XKOb6e8vJynXPOOXr44Ycjj33yySe68MILNW/evFPmbNiwQQUFBZETK0nas2ePevbsWekORosWLVJmZqYmTpyosrIySdLKlSuVm5urbdu2RZ3x5JNPnvD8aPeBUCik8ePHq2/fvjp8+HBkPNauXau8vDzdcccdCoVCev3119WuXbuoajlVTq9evTR+/PjI1xwqKiqirieIXOp3ej26/nCp3+n16rnU66fKod9rnxG0Xj9VTqr3OwAgtTg9SRU+4Tp69GjksZdeeqnS0uufLo+eP3++evXqpalTp6pZs2a65JJLtHnz5jrnhE9YduzYoXXr1lW6VoJ07FPY4+/YEm3O8Z/YvvPOO8rMzFRWVpZGjBih9PR0XXvttSouLq5zTvh9Kysr07Rp0+R5nkaOHKnx48frzDPP1LBhwypde6I6hw8f1vfff3/C4+3atdOyZcsi/y4tLdWCBQvUuHFj9ejRQzfeeKOaNWumm2++WUeOHDnpp4Y1zQiryz4wadIkderUSdKP1/eQpHvvvVcXXHBB5C5M8+fPj6qWmuRcdNFFWrlyZZ3qCSKX+p1ej67Xa5MT5td+p9er51Kv1zSHfo8+I8yvvV7TnFTtdwBA6nF6kup44ROA4uJiXXXVVerVq1eVzxszZow8z1Nubq5efvnluOXU1alywieahYWFeuGFF3T33XdHlu3HMifsz3/+s26++WYVFBTU+uKtx+dIx5bwZ2Vlac+ePZVO0qRjn0o++uijGjt2rF577bW4ZNx4443V7gOn+g/KTZs26bTTTtO///1vST/+x8D27duVk5NT6bbkJ6ulrjmPP/54jepxlUv9Tq/Xvtdrk5PsfqfX68alXq9JDv0efUayez0WOane7wCA1BD4Sarwgf2nJyMns27dOjVs2FB///vfI78b/gRyzpw5euqpp+KSU1FRcco7sMSqnqKiosDlhJ87Y8YM5efnV3l3pnhmSMfGqLp9oKysLPKpeXX279+voUOH6he/+EXksfDrGjhwoEaOHHnK1xjLnPLycj377LNV1hNELvW7H3swUTnR9nosc6Tk9zu9Xj2Xej1WOanW7y71eqxzXOt3AACOF+hJqhkzZmjMmDG1/r2ysjJNmDBBmZmZ2rx5s6677jpNnjz5hGX68ciZMmWKDh48SE4VwidiQ4YM0YQJEyQdu3jruHHjtHTp0rhnhD8lruqkeerUqerXr58GDhyomTNn6ptvvpFU9d10Vq5cqZYtW1a6lkdpaan69++vu+6666SvL1E5QeRSv/u1BxOVE02vxzon2f1Or1fPpV4nh2N7InMAAHBBICepPv74Yw0ePFhNmjTRmWeeqRdffFFS7T45fPfdd+V5njzPU8eOHav8Hj85ic8pLS1Vly5d9Oabb2ru3LlKT09XTk7OCRcCTUSGJL3//vvq1auXOnfurKefflqjRo1Sjx49dPvtt590+48//rg8z9PEiRO1atUq/fWvf1WbNm0qXU8iGTlBFIT9tqY5LtVS15za9KFL/U6vVy8I+y05HNs5tgMAEF+BnKSaO3euBg0apAULFmjs2LG68MILdfjwYUk1+6rIypUrlZGRoaysrJNe+4CcxOcsXbpUnuepefPmatGihZ5//vmkZRw8eFCTJk3SqFGjKl0o9v7779eAAQP07bffnjRn2rRp6tOnjzp16qSsrCwtXLgwqTlBFYT9tqY5LtVS15ya9mGichLRh/T6yQVhvyWHYzvHdgAA4iswk1ShUChygnLw4EG9+eabkqRXX31V3bt3jyyLrmrp9PHKy8s1depUPfDAA+T4MOc///mPmjRpoqlTpyYlI5wjHfuqwOOPP67Vq1dL+vHuSrNmzdK5555b6W5Lx/vp9Taqu9tOonKCKGj77clyXKolljk16UNX+p1er17Q9ltyOLaHt8WxHQCA+PD9JNWKFStO+vMDBw7orrvu0nnnnafPPvtMUvXLwsMnDlWd6JCT/BxJKioqOuE6GInI+GlOVRdsDdf/4IMPaujQoTW+wHOycoIoiPttdTku1RLrHKlmfZionHj1Ib1evSDut+RElyNxbI9lDgAArvPtJNWmTZuUl5cnz/Mi1yT46adO4QP+mjVrdMkll+g3v/kNOQ7l+KkW6ccTxsGDB0c+2a3NSWSicoLIT2Pt0n5LTnQ5Ut36kF6vnp/GmZzk5PipFoljOwAAfuPLSaoPPvhAAwcO1DXXXKMRI0aoffv2kZ9VdUAvLy/XtGnT1KFDB61atUqS9M4775zy4E+Of3P8WktxcbFatWpV6eKlu3btqvb5ic4JIr+OtUv7LTnR5UTTh/R69fw6zuQkLsevtXBsBwDAP3w5SbV//35NmTJF//vf//TWW28pJydH999/v6QTl3qHD+offfSRhg8frt69e+uqq66S53kqLCwkJ6A5fqxFOnaNjJycHIVCIe3Zs0ejRo1Senq6vvrqK1/kBJEfx9ql/Zac6HKk6PqQXq+eH8eZnMTm+LEWiWM7AAB+4rtJqvBJyZEjRyRJhw8f1kMPPaSWLVtGDuJVHfj37dunSy65RJ7naciQIdq+fTs5Ac3xcy1/+tOfNGTIED3yyCNq3Lix+vfvrx07dvgiJ4j8PNa1zXGpFnKOqW0f0uvV8/M4k8PfSI7tAAD4h+8mqY4XvibBRx99pF69eunaa6+VdOKS6MLCQnXo0EHnnHNO5K4w5LiR47daLrroInmep44dO2rJkiW+zQkiv421S/stOdHl1KUP6fXq+W2cyUl8jt9q4dgOAIB/JGWS6sCBA3rrrbeq/Fn4YpOh0I+3JC4vL9ecOXPUtGlTrVmzRpJUVlam0tJSSdLRo0e1aNEicgKUE7RaysvLdeTIEU2ePFnz5s1LWk4QBW2sXdpvyYku52R9SK9XL2jjTE7sc4JWC8d2AAD8J+GTVPfdd59atmypsWPHau/evZHHq7utcPjTqV27dmnIkCHq3bu3vvjiCw0bNkzPPfdclXdQIcffOUGs5WQnlYnKCaIgjrVL+y05se1Der16QRxncvgbybEdAAD/SdgkVUVFhX7961+rc+fOWrZsmYqKiqo80C9YsECNGjXSc889d8LP5s+fL8/zVK9ePZ133nlVfo+fHP/muFRLInOCyKUxcKkWcvy9DwSRS+NMjr/7w7UcAABQtYRNUm3evFndu3fXpk2bJEk7d+7Up59+qu+++06SdOjQIV1zzTVq1aqVHn30UR09ejTyu+Xl5frXv/6l9PR05ebmatmyZeQEMMelWhKZE0QujYFLtZDj730giFwaZ3L83R+u5QAAgKrFfZIq/D39ZcuWqWPHjioqKtLEiRPVtm1bde3aVZ06ddLChQslSS+99JL27NlzwjYOHTqkm266SQ8//DA5AcxxqZZE5gSRS2PgUi3k+HsfCCKXxpkcf/eHazkAAODk4jJJtWbNGu3cubPSY7Nnz1a/fv00bdo0XXbZZVq9erU2bNig66+/Xueff77++c9/SjrxTijhf1e11Joc/+a4VEsic4LIpTFwqRZy/L0PBJFL40yOv/vDtRwAAFBzMZ2kWrlypXJycnT22WerdevWuv766/Xuu+9KkrZt26YGDRqoefPmmjlzZuR3tm3bppEjR2rkyJE1PrCT498cl2pJZE4QuTQGLtVCTnQ59Hr1XBpncqLLcamWROYAAIDaq2cxsnv3brvvvvvsuuuus9WrV9tTTz1lhYWFNmnSJNuyZYvl5OTYzTffbMXFxXb66adHfi8nJ8datWplxcXF5nkeOQHOcamWROYEkUtj4FIt5Ph7Hwgil8aZHH/3h2s5AAAgSrGa7Vq+fLkaNWqkrVu3Rh5btmyZLr30Uo0YMUKStHv3bjVv3lwFBQWVllePGzdOo0ePJifgOS7VksicIHJpDFyqhRx/7wNB5NI4k+Pv/nAtBwAARCdmk1Tz589Xt27dtGXLlshjFRUVeuyxx3T22Wdr8eLFkqQ5c+YoJydHvXv31oIFC3TXXXepdevWWrJkCTkBz3GplkTmBJFLY+BSLeT4ex8IIpfGmRx/94drOQAAIDoxm6QqLCxUw4YNIxeUDNuyZYsGDx6sMWPGRB5bvny5CgoKdOmll6pXr15as2YNOQ7kuFRLInOCyKUxcKkWcvy9DwSRS+NMjr/7w7UcAAAQnZheOP3KK69U3759VVJSUunx8ePH64orrtDBgwcrPb5//35yHMtxqZZE5gSRS2PgUi3k+HsfCCKXxpkcf/eHazkAAKD2YnbhdDOzqVOn2tq1a+3555+30tLSyOOtWrWyzZs3W8OGDSs9Pz09nRzHclyqJZE5QeTSGLhUCzn+3geCyKVxJsff/eFaDgAAqL0GsdxY165dbdKkSfbggw9a/fr1bdSoURYKhWzDhg02evRoa9AgNnHk+DfHpVoSmRNELo2BS7WQ49+MoHJpnMnxb4aLOQAAIArxWJ5166236qyzzlJeXp7OPvtsderUSYWFheSkUI5LtSQyJ4hcGgOXaiHHvxlB5dI4k+PfDBdzAABAzXmSFOuJr9LSUtu8ebN98MEHlpaWZqNHj451BDk+z3GplkTmBJFLY+BSLeT4NyOoXBpncvyb4WIOAACoubhMUgEAAAAAAAC1EdMLpwMAAAAAAADRYJIKAAAAAAAAScckFQAAAAAAAJKOSSoAAAAAAAAkHZNUAAAAAAAASDomqQAAAAAAAJB0TFIBAAAAAAAg6ZikAgAAAAAAQNIxSYWke+ONN8zzPPv++++T/VIAxBn9DqQGeh0AAETDk6Rkvwikln79+lm3bt1s5syZZmZWVlZmBw4csLPOOss8z0vuiwMQU/Q7kBrodQAAEAsNkv0CgLS0NMvIyEj2ywCQAPQ7kBrodQAAEA2+7oeEuvHGG+3NN9+0WbNmmed55nmezZ07t9JXAubOnWstWrSw1157zTp06GCNGze24cOH26FDh2zevHmWnZ1tLVu2tNtvv90qKioi2y4rK7O7777b2rZta02aNLH8/Hx74403klMoAPodSBH0OgAAiBVWUiGhZs2aZVu3brUuXbrYgw8+aGZmH3300QnPO3z4sP3lL3+x+fPnW0lJiQ0dOtSGDh1qLVq0sMWLF9u2bdts2LBh1qdPHxs5cqSZmY0dO9Z27Nhh8+fPtzZt2tiiRYvsiiuusMLCQsvNzU1onQDodyBV0OsAACBWmKRCQjVv3tzS0tKscePGka8BbNmy5YTnlZeX2xNPPGE///nPzcxs+PDh9txzz9nevXvtjDPOsM6dO9ull15qq1atspEjR9rnn39uL774ou3evdvatGljZmZ33nmnLV261J599ll75JFHElckADOj34FUQa8DAIBYYZIKvtS4cePISayZ2VlnnWXZ2dl2xhlnVHps3759Zmb23nvvmSRr3759pe2UlpZaenp6Yl40gKjQ70BqoNcBAMCpMEkFXzrttNMq/dvzvCofC4VCZmYWCoWsfv36tmnTJqtfv36l5x1/8gvAf+h3IDXQ6wAA4FSYpELCpaWlVbooaix0797dKioqbN++fXbxxRfHdNsAoke/A6mBXgcAALHA3f2QcNnZ2bZ+/XrbsWOH7d+/P/KJaV20b9/eRo8ebTfccIO98sortn37dtu4caP98Y9/tMWLF8fgVQOIBv0OpAZ6HQAAxAKTVEi4O++80+rXr2+dO3e2Vq1a2RdffBGT7T777LN2ww032MSJE61Dhw529dVX2/r16y0zMzMm2wdQe/Q7kBrodQAAEAueJCX7RQAAAAAAACC1sZIKAAAAAAAAScckFQAAAAAAAJKOSSoAAAAAAAAkHZNUAAAAAAAASDomqQAAAAAAAJB0TFIBAAAAAAAg6ZikAgAAAAAAQNIxSQUAAAAAAICkY5IKAAAAAAAAScckFQAAAAAAAJKOSSoAAAAAAAAkHZNUAAAAAAAASLr/A0eaWNUVcaZSAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1300x600 with 9 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "prof.sel(sample='ql').ql.plot(x='time', col='NC', col_wrap=4)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f7fc10fbfa0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc0f21030>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc0f20ee0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc0f20e20>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc10bb8e0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc10bb910>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc0f21210>]"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(-prof.sel(sample='default').qr_flux.sel(zh=0).cumsum()).plot(x='time', hue='NC')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f7fc06c6e90>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc06c6e30>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc06c7040>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc06c7160>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc06c7280>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc06c73a0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc06c74c0>]"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Bulk entrainment is defined as \\epsilon = -\\frac{d\\theta_l}{dz} / (\\phi_c - \\phi_e), where \\phi_c is the cloud property, and \\phi_e are the environmental properties.\n",
+    "#We will use the cloud potential temperature as the cloud property, and the environmental potential temperature as the environmental property\n",
+    "epsilon = prof.sel(time='2016-06-11T22:00', sample='ql').thl.differentiate(coord='z') / (prof.sel(time='2016-06-11T22:00', sample='default').thl - prof.sel(time='2016-06-11T22:00', sample='ql').thl)\n",
+    "epsilon.plot.line(y='z', hue='NC')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
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+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
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+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
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+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
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+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
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+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
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+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:               (z: 107, zh: 108, zs: 4, zsh: 5, sample: 3, NC: 8,\n",
+       "                           time: 30, lev: 141)\n",
+       "Coordinates:\n",
+       "  * z                     (z) float32 10.0 21.0 33.0 ... 3.94e+03 3.98e+03\n",
+       "  * zh                    (zh) float32 0.0 15.5 27.0 ... 3.92e+03 3.96e+03 4e+03\n",
+       "  * zs                    (zs) float32 -1.89 -0.72 -0.21 -0.07\n",
+       "  * zsh                   (zsh) float32 -2.62 -1.16 -0.28 -0.14 0.0\n",
+       "  * sample                (sample) object &#x27;default&#x27; &#x27;ql&#x27; &#x27;qlcore&#x27;\n",
+       "  * NC                    (NC) int64 10 50 80 100 200 400 600 800\n",
+       "  * time                  (time) datetime64[ns] 2016-06-11T12:00:00 ... 2016-...\n",
+       "Dimensions without coordinates: lev\n",
+       "Data variables: (12/141)\n",
+       "    p_rad                 (time, NC, sample, lev) float32 9.645e+04 ... 3.53\n",
+       "    iter                  (time, NC, sample) float64 1.738e+05 ... 2.484e+05\n",
+       "    area                  (time, NC, sample, z) float32 1.0 1.0 1.0 ... 0.0 0.0\n",
+       "    areah                 (time, NC, sample, zh) float32 1.0 1.0 1.0 ... 0.0 0.0\n",
+       "    u                     (time, NC, sample, z) float32 -0.09499 ... nan\n",
+       "    u_3                   (time, NC, sample, z) float32 -0.001409 ... nan\n",
+       "    ...                    ...\n",
+       "    sw_flux_dn_ref        (time, NC, sample, lev) float32 132.0 135.4 ... 0.6207\n",
+       "    sw_flux_dn_dir_ref    (time, NC, sample, lev) float32 105.2 109.1 ... 0.6207\n",
+       "    lw_flux_up_ref        (time, NC, sample, lev) float32 476.5 465.4 ... 282.1\n",
+       "    lw_flux_dn_ref        (time, NC, sample, lev) float32 386.1 359.6 ... 0.0\n",
+       "    sza                   (time, NC, sample) float32 1.39 1.39 ... 1.743 1.743\n",
+       "    sw_flux_dn_toa        (time, NC, sample) float32 236.5 236.5 ... 0.6207</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b645e925-9b80-45bf-89ca-e200b7eaf416' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b645e925-9b80-45bf-89ca-e200b7eaf416' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>z</span>: 107</li><li><span class='xr-has-index'>zh</span>: 108</li><li><span class='xr-has-index'>zs</span>: 4</li><li><span class='xr-has-index'>zsh</span>: 5</li><li><span class='xr-has-index'>sample</span>: 3</li><li><span class='xr-has-index'>NC</span>: 8</li><li><span class='xr-has-index'>time</span>: 30</li><li><span>lev</span>: 141</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0c2169ee-c581-4f7b-8ee3-ec23227e69d5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0c2169ee-c581-4f7b-8ee3-ec23227e69d5' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>10.0 21.0 ... 3.94e+03 3.98e+03</div><input id='attrs-432d81d0-30b1-441b-9e5c-4b0a9246df87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-432d81d0-30b1-441b-9e5c-4b0a9246df87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b64d6a0d-bc55-4b4e-a856-e5712acc307d' class='xr-var-data-in' type='checkbox'><label for='data-b64d6a0d-bc55-4b4e-a856-e5712acc307d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Full level height</dd></dl></div><div class='xr-var-data'><pre>array([  10.,   21.,   33.,   46.,   60.,   75.,   92.,  111.,  132.,  155.,\n",
+       "        180.,  207.,  237.,  267.,  300.,  340.,  380.,  420.,  460.,  500.,\n",
+       "        540.,  580.,  620.,  660.,  700.,  740.,  780.,  820.,  860.,  900.,\n",
+       "        940.,  980., 1020., 1060., 1100., 1140., 1180., 1220., 1260., 1300.,\n",
+       "       1340., 1380., 1420., 1460., 1500., 1540., 1580., 1620., 1660., 1700.,\n",
+       "       1740., 1780., 1820., 1860., 1900., 1940., 1980., 2020., 2060., 2100.,\n",
+       "       2140., 2180., 2220., 2260., 2300., 2340., 2380., 2420., 2460., 2500.,\n",
+       "       2540., 2580., 2620., 2660., 2700., 2740., 2780., 2820., 2860., 2900.,\n",
+       "       2940., 2980., 3020., 3060., 3100., 3140., 3180., 3220., 3260., 3300.,\n",
+       "       3340., 3380., 3420., 3460., 3500., 3540., 3580., 3620., 3660., 3700.,\n",
+       "       3740., 3780., 3820., 3860., 3900., 3940., 3980.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>zh</span></div><div class='xr-var-dims'>(zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 15.5 27.0 ... 3.96e+03 4e+03</div><input id='attrs-80496fa9-0aee-468c-9c0d-f5592eeaf901' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80496fa9-0aee-468c-9c0d-f5592eeaf901' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c15b6b2-17a5-4954-92c2-22abe41230f7' class='xr-var-data-in' type='checkbox'><label for='data-4c15b6b2-17a5-4954-92c2-22abe41230f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Half level height</dd></dl></div><div class='xr-var-data'><pre>array([   0. ,   15.5,   27. ,   39.5,   53. ,   67.5,   83.5,  101.5,  121.5,\n",
+       "        143.5,  167.5,  193.5,  222. ,  252. ,  283.5,  320. ,  360. ,  400. ,\n",
+       "        440. ,  480. ,  520. ,  560. ,  600. ,  640. ,  680. ,  720. ,  760. ,\n",
+       "        800. ,  840. ,  880. ,  920. ,  960. , 1000. , 1040. , 1080. , 1120. ,\n",
+       "       1160. , 1200. , 1240. , 1280. , 1320. , 1360. , 1400. , 1440. , 1480. ,\n",
+       "       1520. , 1560. , 1600. , 1640. , 1680. , 1720. , 1760. , 1800. , 1840. ,\n",
+       "       1880. , 1920. , 1960. , 2000. , 2040. , 2080. , 2120. , 2160. , 2200. ,\n",
+       "       2240. , 2280. , 2320. , 2360. , 2400. , 2440. , 2480. , 2520. , 2560. ,\n",
+       "       2600. , 2640. , 2680. , 2720. , 2760. , 2800. , 2840. , 2880. , 2920. ,\n",
+       "       2960. , 3000. , 3040. , 3080. , 3120. , 3160. , 3200. , 3240. , 3280. ,\n",
+       "       3320. , 3360. , 3400. , 3440. , 3480. , 3520. , 3560. , 3600. , 3640. ,\n",
+       "       3680. , 3720. , 3760. , 3800. , 3840. , 3880. , 3920. , 3960. , 4000. ],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>zs</span></div><div class='xr-var-dims'>(zs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.89 -0.72 -0.21 -0.07</div><input id='attrs-342a4982-45a8-4bbb-8eb3-238573de8087' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-342a4982-45a8-4bbb-8eb3-238573de8087' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddbb9f28-4a59-4cee-af7a-5ab1b1aaaee8' class='xr-var-data-in' type='checkbox'><label for='data-ddbb9f28-4a59-4cee-af7a-5ab1b1aaaee8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Full level height soil</dd></dl></div><div class='xr-var-data'><pre>array([-1.89, -0.72, -0.21, -0.07], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>zsh</span></div><div class='xr-var-dims'>(zsh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-2.62 -1.16 -0.28 -0.14 0.0</div><input id='attrs-3b84d749-ee46-4930-a0b3-b92d6a6978ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b84d749-ee46-4930-a0b3-b92d6a6978ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ce5c4a4-5fd8-4362-8323-8fa7874b332f' class='xr-var-data-in' type='checkbox'><label for='data-8ce5c4a4-5fd8-4362-8323-8fa7874b332f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Half level height soil</dd></dl></div><div class='xr-var-data'><pre>array([-2.62, -1.16, -0.28, -0.14,  0.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sample</span></div><div class='xr-var-dims'>(sample)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;default&#x27; &#x27;ql&#x27; &#x27;qlcore&#x27;</div><input id='attrs-0176c48d-5aad-4ed4-af38-51e56d9cd741' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0176c48d-5aad-4ed4-af38-51e56d9cd741' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c78eea8f-271c-4b90-a492-41ad5883fff2' class='xr-var-data-in' type='checkbox'><label for='data-c78eea8f-271c-4b90-a492-41ad5883fff2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;default&#x27;, &#x27;ql&#x27;, &#x27;qlcore&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>NC</span></div><div class='xr-var-dims'>(NC)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>10 50 80 100 200 400 600 800</div><input id='attrs-05424c85-3a0e-4cae-b1df-e5426bad324c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-05424c85-3a0e-4cae-b1df-e5426bad324c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a54e69b0-cbec-474c-b98c-7fb19419ae0a' class='xr-var-data-in' type='checkbox'><label for='data-a54e69b0-cbec-474c-b98c-7fb19419ae0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 10,  50,  80, 100, 200, 400, 600, 800])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2016-06-11T12:00:00 ... 2016-06-...</div><input id='attrs-7c6df029-bbf9-4605-92a9-a6eb3f25cf9e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7c6df029-bbf9-4605-92a9-a6eb3f25cf9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcc80c4a-39f3-4916-8a7e-82bc319afb7f' class='xr-var-data-in' type='checkbox'><label for='data-fcc80c4a-39f3-4916-8a7e-82bc319afb7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2016-06-11T12:00:00.000000000&#x27;, &#x27;2016-06-11T12:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T13:00:00.000000000&#x27;, &#x27;2016-06-11T13:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T14:00:00.000000000&#x27;, &#x27;2016-06-11T14:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T15:00:00.000000000&#x27;, &#x27;2016-06-11T15:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T16:00:00.000000000&#x27;, &#x27;2016-06-11T16:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T17:00:00.000000000&#x27;, &#x27;2016-06-11T17:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T18:00:00.000000000&#x27;, &#x27;2016-06-11T18:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T19:00:00.000000000&#x27;, &#x27;2016-06-11T19:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T20:00:00.000000000&#x27;, &#x27;2016-06-11T20:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T21:00:00.000000000&#x27;, &#x27;2016-06-11T21:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T22:00:00.000000000&#x27;, &#x27;2016-06-11T22:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-11T23:00:00.000000000&#x27;, &#x27;2016-06-11T23:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-12T00:00:00.000000000&#x27;, &#x27;2016-06-12T00:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-12T01:00:00.000000000&#x27;, &#x27;2016-06-12T01:30:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-12T02:00:00.000000000&#x27;, &#x27;2016-06-12T02:30:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f36b0e78-0bb7-49ea-ae90-6a0ecffb54d2' class='xr-section-summary-in' type='checkbox'  ><label for='section-f36b0e78-0bb7-49ea-ae90-6a0ecffb54d2' class='xr-section-summary' >Data variables: <span>(141)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>p_rad</span></div><div class='xr-var-dims'>(time, NC, sample, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.645e+04 9.188e+04 ... 3.871 3.53</div><input id='attrs-eacc946e-48e4-4182-82c8-6e75d8c789fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eacc946e-48e4-4182-82c8-6e75d8c789fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82e0f592-e450-4d64-b0e9-91cbb5d3d73f' class='xr-var-data-in' type='checkbox'><label for='data-82e0f592-e450-4d64-b0e9-91cbb5d3d73f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>long_name :</span></dt><dd>Pressure of radiation reference column</dd></dl></div><div class='xr-var-data'><pre>array([[[[9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00]],\n",
+       "\n",
+       "        [[9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00]],\n",
+       "\n",
+       "        [[9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00]],\n",
+       "...\n",
+       "        [[9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00]],\n",
+       "\n",
+       "        [[9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00]],\n",
+       "\n",
+       "        [[9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00],\n",
+       "         [9.6446820e+04, 9.1882547e+04, 8.6768148e+04, ...,\n",
+       "          4.2274017e+00, 3.8710907e+00, 3.5295606e+00]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iter</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.738e+05 1.738e+05 ... 2.484e+05</div><input id='attrs-d028d9c3-eb0a-4868-9473-e49b1e8d7d00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d028d9c3-eb0a-4868-9473-e49b1e8d7d00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a11bef31-2b0d-44da-9971-17b8ec354804' class='xr-var-data-in' type='checkbox'><label for='data-a11bef31-2b0d-44da-9971-17b8ec354804' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Iteration number</dd></dl></div><div class='xr-var-data'><pre>array([[[173824.83333333, 173824.83333333, 173824.83333333],\n",
+       "        [173710.        , 173710.        , 173710.        ],\n",
+       "        [171538.        , 171538.        , 171538.        ],\n",
+       "        [171538.        , 171538.        , 171538.        ],\n",
+       "        [173173.5       , 173173.5       , 173173.5       ],\n",
+       "        [173498.16666667, 173498.16666667, 173498.16666667],\n",
+       "        [172095.5       , 172095.5       , 172095.5       ],\n",
+       "        [171815.16666667, 171815.16666667, 171815.16666667]],\n",
+       "\n",
+       "       [[176302.16666667, 176302.16666667, 176302.16666667],\n",
+       "        [176024.66666667, 176024.66666667, 176024.66666667],\n",
+       "        [173800.5       , 173800.5       , 173800.5       ],\n",
+       "        [173800.5       , 173800.5       , 173800.5       ],\n",
+       "        [175536.        , 175536.        , 175536.        ],\n",
+       "        [175847.66666667, 175847.66666667, 175847.66666667],\n",
+       "        [174439.        , 174439.        , 174439.        ],\n",
+       "        [174150.        , 174150.        , 174150.        ]],\n",
+       "\n",
+       "       [[178840.33333333, 178840.33333333, 178840.33333333],\n",
+       "        [178431.16666667, 178431.16666667, 178431.16666667],\n",
+       "...\n",
+       "        [            nan,             nan,             nan],\n",
+       "        [245470.83333333, 245470.83333333, 245470.83333333]],\n",
+       "\n",
+       "       [[249770.5       , 249770.5       , 249770.5       ],\n",
+       "        [249189.16666667, 249189.16666667, 249189.16666667],\n",
+       "        [245713.83333333, 245713.83333333, 245713.83333333],\n",
+       "        [245713.83333333, 245713.83333333, 245713.83333333],\n",
+       "        [248669.5       , 248669.5       , 248669.5       ],\n",
+       "        [248487.16666667, 248487.16666667, 248487.16666667],\n",
+       "        [            nan,             nan,             nan],\n",
+       "        [246900.5       , 246900.5       , 246900.5       ]],\n",
+       "\n",
+       "       [[251346.16666667, 251346.16666667, 251346.16666667],\n",
+       "        [250717.33333333, 250717.33333333, 250717.33333333],\n",
+       "        [247236.16666667, 247236.16666667, 247236.16666667],\n",
+       "        [247236.16666667, 247236.16666667, 247236.16666667],\n",
+       "        [250206.66666667, 250206.66666667, 250206.66666667],\n",
+       "        [250015.33333333, 250015.33333333, 250015.33333333],\n",
+       "        [            nan,             nan,             nan],\n",
+       "        [248411.16666667, 248411.16666667, 248411.16666667]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>area</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-1b8c8656-f7bb-42ed-98c5-a1fd958a08ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b8c8656-f7bb-42ed-98c5-a1fd958a08ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0d2518f-f73b-4fbc-b544-77d6e2eedaf4' class='xr-var-data-in' type='checkbox'><label for='data-d0d2518f-f73b-4fbc-b544-77d6e2eedaf4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Fractional area contained in mask</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]],\n",
+       "\n",
+       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]],\n",
+       "\n",
+       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]],\n",
+       "\n",
+       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "...\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]],\n",
+       "\n",
+       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>areah</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-afb9373f-1587-486b-a4e1-ac5bd367e29d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afb9373f-1587-486b-a4e1-ac5bd367e29d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfa42034-ae61-478a-b726-9476f40affb4' class='xr-var-data-in' type='checkbox'><label for='data-cfa42034-ae61-478a-b726-9476f40affb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Fractional area contained in mask</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]],\n",
+       "\n",
+       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]],\n",
+       "\n",
+       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]],\n",
+       "\n",
+       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "...\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]],\n",
+       "\n",
+       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [ 0.,  0.,  0., ...,  0.,  0.,  0.]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.09499 -0.09687 ... nan nan</div><input id='attrs-9225e798-759e-463e-bcc1-b1961e548964' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9225e798-759e-463e-bcc1-b1961e548964' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e1dd4c2-7e76-4df2-8239-3aad8f9ed9df' class='xr-var-data-in' type='checkbox'><label for='data-2e1dd4c2-7e76-4df2-8239-3aad8f9ed9df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[-9.49917212e-02, -9.68650654e-02, -8.95264447e-02, ...,\n",
+       "          -1.30459642e+01, -1.31258478e+01, -1.31902342e+01],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-1.67487394e-02,  5.63607842e-04,  2.34647561e-02, ...,\n",
+       "          -1.30383606e+01, -1.31147003e+01, -1.31708059e+01],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 5.64690344e-02,  9.15815011e-02,  1.28741562e-01, ...,\n",
+       "          -1.30466280e+01, -1.31305094e+01, -1.31981239e+01],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -1.46103466e+00, -1.93254316e+00, -2.41721559e+00],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-2.08752060e+00, -2.48598742e+00, -2.80993962e+00, ...,\n",
+       "          -1.50068474e+00, -1.97253859e+00, -2.45660615e+00],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_3</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.001409 -0.0009854 ... nan nan</div><input id='attrs-2cd0f0d9-6f2c-405a-8517-95edcb29374a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cd0f0d9-6f2c-405a-8517-95edcb29374a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e21d63e2-7213-43f8-8b8e-2bb6f80f2f17' class='xr-var-data-in' type='checkbox'><label for='data-e21d63e2-7213-43f8-8b8e-2bb6f80f2f17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m3 s-3</dd><dt><span>long_name :</span></dt><dd>Moment 3 of the U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[-1.40902773e-03, -9.85385966e-04, -1.59479052e-04, ...,\n",
+       "           2.62038526e-03,  1.91816140e-03,  9.36055323e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 1.43977255e-03,  2.87981145e-03,  4.21256153e-03, ...,\n",
+       "           2.38896420e-04,  7.26173923e-04,  1.20713946e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 1.00412208e-03,  1.59067556e-03,  2.04086746e-03, ...,\n",
+       "          -1.82128523e-03, -5.86811570e-04, -1.91333165e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -3.49943265e-02, -3.38279046e-02, -2.12429855e-02],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 5.94858965e-03,  7.49488873e-03,  7.74336653e-03, ...,\n",
+       "          -3.00069642e-03, -2.56332080e-03, -9.12722957e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_4</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01919 0.03403 0.04558 ... nan nan</div><input id='attrs-1ecad627-f1c7-423e-b4df-11a701898727' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ecad627-f1c7-423e-b4df-11a701898727' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b56f2932-56b4-409a-ad92-88bc623b80f5' class='xr-var-data-in' type='checkbox'><label for='data-b56f2932-56b4-409a-ad92-88bc623b80f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m4 s-4</dd><dt><span>long_name :</span></dt><dd>Moment 4 of the U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.01918945, 0.03403257, 0.04558229, ..., 0.01016053,\n",
+       "          0.00863376, 0.0082782 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00906352, 0.01653056, 0.02278082, ..., 0.00661484,\n",
+       "          0.00576363, 0.0057016 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00407337, 0.00726029, 0.01000305, ..., 0.01024383,\n",
+       "          0.00929487, 0.00795281],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.01229064, 0.021283  , 0.02697428, ..., 0.2518671 ,\n",
+       "          0.28112355, 0.30377305],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01996377, 0.03464783, 0.0410837 , ..., 0.28225797,\n",
+       "          0.3465459 , 0.4004334 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.004834 -0.0002237 ... nan nan</div><input id='attrs-02e3e880-5d74-421f-b8ef-8bd87b298e1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02e3e880-5d74-421f-b8ef-8bd87b298e1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b210f9d6-8ea5-4ef9-9ad9-923ffaf5e495' class='xr-var-data-in' type='checkbox'><label for='data-b210f9d6-8ea5-4ef9-9ad9-923ffaf5e495' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00483373, -0.0002237 , -0.00303758, ...,  0.00500831,\n",
+       "           0.00447566,  0.00371043],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.00026824, -0.00513147, -0.00829199, ...,  0.00512256,\n",
+       "           0.00420302,  0.00311806],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.00356263, -0.00930617, -0.01277095, ...,  0.00589648,\n",
+       "           0.00501473,  0.00400078],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 0.08840257,  0.08108174,  0.07588992, ...,  0.04764106,\n",
+       "           0.04839069,  0.0486617 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.08999104,  0.08229417,  0.07678535, ...,  0.04484082,\n",
+       "           0.04512601,  0.0462656 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -0.000416 ... nan nan</div><input id='attrs-e706456f-33b9-462a-8ad1-7c1a1bb21d94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e706456f-33b9-462a-8ad1-7c1a1bb21d94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-718c17ed-aec2-4c63-830b-994b385481c0' class='xr-var-data-in' type='checkbox'><label for='data-718c17ed-aec2-4c63-830b-994b385481c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00, -4.16043913e-04, -9.52353410e-04, ...,\n",
+       "           3.13887000e-03,  2.08051922e-03,  1.08090532e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -2.60635716e-04, -6.17534562e-04, ...,\n",
+       "           3.31096421e-03,  3.08820326e-03,  2.80047231e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -2.76613369e-04, -6.60845137e-04, ...,\n",
+       "           3.51774110e-03,  3.21261119e-03,  2.75658048e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           1.66938379e-02,  1.77665502e-02,  1.87248122e-02],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.42514578e-03,  2.94300099e-03, ...,\n",
+       "           1.76848453e-02,  1.90284271e-02,  1.90232154e-02],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.009499 -0.0001703 ... nan nan</div><input id='attrs-22c44e67-61a8-4e48-9f7c-b96016807d1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22c44e67-61a8-4e48-9f7c-b96016807d1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72ca870f-dac2-4186-a3d2-ce5d8bcaee51' class='xr-var-data-in' type='checkbox'><label for='data-72ca870f-dac2-4186-a3d2-ce5d8bcaee51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[-9.4991727e-03, -1.7030416e-04,  6.1155146e-04, ...,\n",
+       "          -1.9970788e-03, -1.6096552e-03, -1.1898429e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-1.6748741e-03,  1.5738503e-03,  1.9084289e-03, ...,\n",
+       "          -1.9084993e-03, -1.4026305e-03, -9.3591778e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 5.6469031e-03,  3.1920422e-03,  3.0966718e-03, ...,\n",
+       "          -2.0970355e-03, -1.6903189e-03, -1.2418026e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          -1.1787713e-02, -1.2116813e-02, -1.2607314e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-2.0875205e-01, -3.6224280e-02, -2.6996009e-02, ...,\n",
+       "          -1.1796349e-02, -1.2101694e-02, -1.2382776e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.07758 0.1033 0.1193 ... nan nan</div><input id='attrs-9e5a72c5-c5f2-4f7d-8d90-3604f2b623a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e5a72c5-c5f2-4f7d-8d90-3604f2b623a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9f39b6a-0951-4d26-9eed-bdc02e2ffad1' class='xr-var-data-in' type='checkbox'><label for='data-d9f39b6a-0951-4d26-9eed-bdc02e2ffad1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.07757594, 0.10334253, 0.11932987, ..., 0.05822359,\n",
+       "          0.05638469, 0.05637448],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.05485221, 0.07437593, 0.08756799, ..., 0.04853062,\n",
+       "          0.04446862, 0.04261628],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.03722739, 0.04992924, 0.05872838, ..., 0.05875093,\n",
+       "          0.05609078, 0.05301555],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.06079409, 0.08316822, 0.09457625, ..., 0.30183765,\n",
+       "          0.3181478 , 0.32992613],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.07831373, 0.10593799, 0.11652273, ..., 0.31453082,\n",
+       "          0.34970632, 0.3716754 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-4.716e+03 nan nan ... nan nan</div><input id='attrs-f42fc0f2-62d3-4102-98e7-dcb7f0168ea0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f42fc0f2-62d3-4102-98e7-dcb7f0168ea0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41979855-9213-4b7b-bae5-2b6b05a83c7d' class='xr-var-data-in' type='checkbox'><label for='data-41979855-9213-4b7b-bae5-2b6b05a83c7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-1 s-1 kg</dd><dt><span>long_name :</span></dt><dd>U velocity path</dd></dl></div><div class='xr-var-data'><pre>array([[[-4715.812  ,         nan,         nan],\n",
+       "        [-4754.7944 ,         nan,         nan],\n",
+       "        [-4701.4146 ,         nan,         nan],\n",
+       "        [-4701.4146 ,         nan,         nan],\n",
+       "        [-4761.2563 ,         nan,         nan],\n",
+       "        [-4768.281  ,         nan,         nan],\n",
+       "        [-4746.144  ,         nan,         nan],\n",
+       "        [-4731.2886 ,         nan,         nan]],\n",
+       "\n",
+       "       [[-4502.8438 ,         nan,         nan],\n",
+       "        [-4536.906  ,         nan,         nan],\n",
+       "        [-4475.775  ,         nan,         nan],\n",
+       "        [-4475.775  ,         nan,         nan],\n",
+       "        [-4532.352  ,         nan,         nan],\n",
+       "        [-4542.9644 ,         nan,         nan],\n",
+       "        [-4524.7446 ,         nan,         nan],\n",
+       "        [-4498.607  ,         nan,         nan]],\n",
+       "\n",
+       "       [[-3741.0918 ,         nan,         nan],\n",
+       "        [-3767.9307 ,         nan,         nan],\n",
+       "...\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [44734.082  ,         nan,         nan]],\n",
+       "\n",
+       "       [[41304.848  ,         nan,         nan],\n",
+       "        [41262.37   ,         nan,         nan],\n",
+       "        [41446.03   ,         nan,         nan],\n",
+       "        [41446.03   ,         nan,         nan],\n",
+       "        [41474.35   ,         nan,         nan],\n",
+       "        [41373.203  ,         nan,         nan],\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [41437.78   ,         nan,         nan]],\n",
+       "\n",
+       "       [[37084.523  ,         nan,         nan],\n",
+       "        [37066.5    ,         nan,         nan],\n",
+       "        [37194.44   ,         nan,         nan],\n",
+       "        [37194.44   ,         nan,         nan],\n",
+       "        [37222.44   ,         nan,         nan],\n",
+       "        [37134.44   ,         nan,         nan],\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [37184.668  ,         nan,         nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.004834 -0.0006397 ... nan nan</div><input id='attrs-029c43ff-9c1b-4812-8102-eae8ee4f6a68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-029c43ff-9c1b-4812-8102-eae8ee4f6a68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-692cd5f7-8db0-46c0-bfb4-72e548409681' class='xr-var-data-in' type='checkbox'><label for='data-692cd5f7-8db0-46c0-bfb4-72e548409681' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Total flux of the U velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00483373, -0.00063975, -0.00398993, ...,  0.00814718,\n",
+       "           0.00655618,  0.00479134],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.00026824, -0.0053921 , -0.00890952, ...,  0.00843352,\n",
+       "           0.00729122,  0.00591853],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.00356263, -0.00958278, -0.0134318 , ...,  0.00941422,\n",
+       "           0.00822734,  0.00675736],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 0.08840257,  0.08228742,  0.07843512, ...,  0.06433491,\n",
+       "           0.06615724,  0.06738651],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.08999104,  0.08371932,  0.07972834, ...,  0.06252567,\n",
+       "           0.06415442,  0.06528881],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.354 5.359 6.127 ... nan nan nan</div><input id='attrs-3f14e8a1-af41-48fb-a08a-8fddc33374eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f14e8a1-af41-48fb-a08a-8fddc33374eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e258595-a060-4460-923f-c4d5b915c1d3' class='xr-var-data-in' type='checkbox'><label for='data-8e258595-a060-4460-923f-c4d5b915c1d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[  4.354159 ,   5.3590884,   6.127005 , ...,  11.668595 ,\n",
+       "           12.139609 ,  12.615883 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  4.307282 ,   5.3010173,   6.0629115, ...,  11.610049 ,\n",
+       "           12.0808   ,  12.559289 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  4.3404784,   5.3431535,   6.112883 , ...,  11.667278 ,\n",
+       "           12.140002 ,  12.618789 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[  3.0726795,   3.6933982,   4.2173495, ..., -19.530668 ,\n",
+       "          -20.165392 , -20.789743 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  3.1292334,   3.761398 ,   4.292082 , ..., -19.47424  ,\n",
+       "          -20.089907 , -20.687008 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_3</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.09091 0.1656 0.2339 ... nan nan</div><input id='attrs-9904c13f-7c30-4bc6-88ef-c82bdf71e27c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9904c13f-7c30-4bc6-88ef-c82bdf71e27c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26969b30-c331-41fb-8923-c5808161375f' class='xr-var-data-in' type='checkbox'><label for='data-26969b30-c331-41fb-8923-c5808161375f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m3 s-3</dd><dt><span>long_name :</span></dt><dd>Moment 3 of the V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 9.09094736e-02,  1.65625244e-01,  2.33898476e-01, ...,\n",
+       "          -4.20214562e-03, -6.94942242e-03, -9.19930264e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 7.45725036e-02,  1.44534886e-01,  2.17775390e-01, ...,\n",
+       "           9.46714543e-03,  5.61530283e-03,  2.56581022e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 3.98850851e-02,  7.11039528e-02,  9.92931947e-02, ...,\n",
+       "           1.14700375e-02,  8.35625082e-03,  1.29812525e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -5.84175773e-02, -2.25789603e-02, -6.37704181e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-2.57698540e-03, -4.94174147e-03, -8.35200679e-03, ...,\n",
+       "          -3.55744660e-02, -1.76107455e-02,  1.75447911e-02],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_4</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.8115 1.85 3.014 ... nan nan nan</div><input id='attrs-5aca13d9-78ef-4638-87fc-d7d69960f776' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5aca13d9-78ef-4638-87fc-d7d69960f776' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b888d34-8d54-4358-9f8e-f4cb5e224944' class='xr-var-data-in' type='checkbox'><label for='data-9b888d34-8d54-4358-9f8e-f4cb5e224944' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m4 s-4</dd><dt><span>long_name :</span></dt><dd>Moment 4 of the V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[8.11496735e-01, 1.84975803e+00, 3.01371121e+00, ...,\n",
+       "          7.19377995e-02, 7.78881088e-02, 8.58658180e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[3.89646530e-01, 9.07469809e-01, 1.51135457e+00, ...,\n",
+       "          7.03007132e-02, 6.54432550e-02, 6.27623722e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[1.18167073e-01, 2.59517938e-01, 4.14338678e-01, ...,\n",
+       "          1.13024659e-01, 1.20911896e-01, 1.22352071e-01],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          1.37845516e+00, 1.19354188e+00, 1.13856626e+00],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[4.41932194e-02, 1.18256591e-01, 2.03074574e-01, ...,\n",
+       "          1.31161869e+00, 1.16126144e+00, 9.71093714e-01],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2723 -0.2668 -0.2613 ... nan nan</div><input id='attrs-2918bdf8-d257-452b-8ac5-1d059e6af860' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2918bdf8-d257-452b-8ac5-1d059e6af860' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67c996e5-60d4-417c-ad71-88c1475fa43c' class='xr-var-data-in' type='checkbox'><label for='data-67c996e5-60d4-417c-ad71-88c1475fa43c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[-0.2723187 , -0.26684368, -0.26133433, ..., -0.02283219,\n",
+       "          -0.02311927, -0.0225108 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.26330158, -0.25924253, -0.25516912, ..., -0.02359941,\n",
+       "          -0.02435344, -0.02418181],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.26414326, -0.2608383 , -0.25767645, ..., -0.0237529 ,\n",
+       "          -0.02484685, -0.02519906],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[-0.12980865, -0.12709188, -0.12384892, ...,  0.0711123 ,\n",
+       "           0.06792122,  0.06305306],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.13495374, -0.13168573, -0.12774041, ...,  0.06274878,\n",
+       "           0.05928886,  0.05707845],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -0.003076 -0.006489 ... nan nan</div><input id='attrs-f4179cb6-04a2-48f0-b976-e016f4494282' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4179cb6-04a2-48f0-b976-e016f4494282' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2525d7ba-8b31-4972-b75f-3e3360f83afa' class='xr-var-data-in' type='checkbox'><label for='data-2525d7ba-8b31-4972-b75f-3e3360f83afa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.        , -0.00307555, -0.00648921, ..., -0.00540954,\n",
+       "          -0.00548873, -0.00607088],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        , -0.00212908, -0.00454533, ..., -0.0042045 ,\n",
+       "          -0.00400367, -0.00405313],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        , -0.00118444, -0.00250309, ..., -0.00531726,\n",
+       "          -0.00499956, -0.00502317],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 0.        , -0.00234464, -0.00511139, ...,  0.03162116,\n",
+       "           0.02963656,  0.02944005],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        , -0.00291575, -0.00637811, ...,  0.02793687,\n",
+       "           0.02730381,  0.02530385],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.4354 0.09136 0.06399 ... nan nan</div><input id='attrs-7a533af1-3f92-4dbc-b0c3-66c54b3a1702' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a533af1-3f92-4dbc-b0c3-66c54b3a1702' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-579bb837-6d51-4bc5-9cd7-8f9d8c2adfab' class='xr-var-data-in' type='checkbox'><label for='data-579bb837-6d51-4bc5-9cd7-8f9d8c2adfab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.43541586,  0.09135725,  0.06399304, ...,  0.01177533,\n",
+       "           0.01190685,  0.01195674],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.4307282 ,  0.09033957,  0.06349116, ...,  0.01176882,\n",
+       "           0.0119622 ,  0.01214385],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.43404785,  0.09115225,  0.06414418, ...,  0.0118181 ,\n",
+       "           0.01196966,  0.01203723],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 0.30726793,  0.05642899,  0.04366258, ..., -0.0158681 ,\n",
+       "          -0.01560878, -0.01507068],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.31292334,  0.05746952,  0.04422364, ..., -0.0153917 ,\n",
+       "          -0.01492754, -0.0145243 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.5385 0.8205 1.053 ... nan nan nan</div><input id='attrs-240f6aea-d2f7-4a9e-a89d-edc37b4f4880' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-240f6aea-d2f7-4a9e-a89d-edc37b4f4880' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f516cd56-5cc4-4c13-86bc-f06fa8307993' class='xr-var-data-in' type='checkbox'><label for='data-f516cd56-5cc4-4c13-86bc-f06fa8307993' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.5384955 , 0.8205159 , 1.0525634 , ..., 0.15860043,\n",
+       "          0.16706336, 0.17569675],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.39135894, 0.59841627, 0.77161473, ..., 0.14564537,\n",
+       "          0.14447454, 0.14592505],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.19480985, 0.29185885, 0.37168288, ..., 0.1869903 ,\n",
+       "          0.19423968, 0.20012741],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.13425352, 0.2085383 , 0.26403055, ..., 0.7255812 ,\n",
+       "          0.6681343 , 0.6372035 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.14048027, 0.23067643, 0.30136383, ..., 0.67165256,\n",
+       "          0.63084364, 0.5739154 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.625e+04 nan nan ... nan nan</div><input id='attrs-f764cadf-20cd-41ca-a1e1-fac160d2cee7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f764cadf-20cd-41ca-a1e1-fac160d2cee7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f46f7f3c-4e40-4296-aff3-eeb23bd05923' class='xr-var-data-in' type='checkbox'><label for='data-f46f7f3c-4e40-4296-aff3-eeb23bd05923' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-1 s-1 kg</dd><dt><span>long_name :</span></dt><dd>V velocity path</dd></dl></div><div class='xr-var-data'><pre>array([[[ 1.6245251e+04,            nan,            nan],\n",
+       "        [ 1.6327103e+04,            nan,            nan],\n",
+       "        [ 1.6450805e+04,            nan,            nan],\n",
+       "        [ 1.6450805e+04,            nan,            nan],\n",
+       "        [ 1.6378855e+04,            nan,            nan],\n",
+       "        [ 1.6380281e+04,            nan,            nan],\n",
+       "        [ 1.6328070e+04,            nan,            nan],\n",
+       "        [ 1.6439955e+04,            nan,            nan]],\n",
+       "\n",
+       "       [[ 2.0423604e+04,            nan,            nan],\n",
+       "        [ 2.0521787e+04,            nan,            nan],\n",
+       "        [ 2.0640174e+04,            nan,            nan],\n",
+       "        [ 2.0640174e+04,            nan,            nan],\n",
+       "        [ 2.0575502e+04,            nan,            nan],\n",
+       "        [ 2.0576330e+04,            nan,            nan],\n",
+       "        [ 2.0523135e+04,            nan,            nan],\n",
+       "        [ 2.0628928e+04,            nan,            nan]],\n",
+       "\n",
+       "       [[ 2.4335977e+04,            nan,            nan],\n",
+       "        [ 2.4438525e+04,            nan,            nan],\n",
+       "...\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [ 6.0980713e+02,            nan,            nan]],\n",
+       "\n",
+       "       [[-3.3100574e+03,            nan,            nan],\n",
+       "        [-3.1599929e+03,            nan,            nan],\n",
+       "        [-3.4127236e+03,            nan,            nan],\n",
+       "        [-3.4127236e+03,            nan,            nan],\n",
+       "        [-3.4946768e+03,            nan,            nan],\n",
+       "        [-3.3898298e+03,            nan,            nan],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [-3.4215486e+03,            nan,            nan]],\n",
+       "\n",
+       "       [[-7.0398613e+03,            nan,            nan],\n",
+       "        [-6.8704263e+03,            nan,            nan],\n",
+       "        [-7.1494868e+03,            nan,            nan],\n",
+       "        [-7.1494868e+03,            nan,            nan],\n",
+       "        [-7.2409648e+03,            nan,            nan],\n",
+       "        [-7.1154976e+03,            nan,            nan],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [-7.1654790e+03,            nan,            nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2723 -0.2699 -0.2678 ... nan nan</div><input id='attrs-fad1da18-1a90-48d0-af90-26cf630522af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fad1da18-1a90-48d0-af90-26cf630522af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8502ba25-015f-478f-a54b-2bb7efa9a736' class='xr-var-data-in' type='checkbox'><label for='data-8502ba25-015f-478f-a54b-2bb7efa9a736' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Total flux of the V velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[-0.2723187 , -0.26991922, -0.26782352, ..., -0.02824172,\n",
+       "          -0.02860799, -0.02858169],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.26330158, -0.26137164, -0.25971445, ..., -0.02780391,\n",
+       "          -0.02835711, -0.02823495],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.26414326, -0.26202273, -0.26017955, ..., -0.02907016,\n",
+       "          -0.02984641, -0.03022222],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[-0.12980865, -0.12943651, -0.12896031, ...,  0.10273346,\n",
+       "           0.09755778,  0.09249311],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.13495374, -0.1346015 , -0.13411851, ...,  0.09068566,\n",
+       "           0.08659267,  0.0823823 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1.16e-10 1.775e-10 ... nan nan</div><input id='attrs-2a921643-9c56-4c87-951e-13c0c644f1aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a921643-9c56-4c87-951e-13c0c644f1aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd54f86d-5cbf-4119-8376-97aac523845f' class='xr-var-data-in' type='checkbox'><label for='data-cd54f86d-5cbf-4119-8376-97aac523845f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Vertical velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  1.15976194e-10,  1.77543605e-10, ...,\n",
+       "          -6.43586684e-10, -6.70604905e-10, -6.13613771e-10],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.20320087e-10,  1.70441050e-10, ...,\n",
+       "          -4.28033692e-10, -4.29768859e-10, -4.59531885e-10],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.30374656e-10,  4.05349893e-10, ...,\n",
+       "          -5.25977761e-10, -4.81743478e-10, -5.50631041e-10],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -1.37780243e-09, -1.54771840e-09, -1.47588708e-09],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  2.68065098e-10,  5.87139670e-10, ...,\n",
+       "          -9.50123091e-10, -1.01147857e-09, -9.78468084e-10],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>w_3</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -9.067e-07 ... nan nan</div><input id='attrs-95443f03-992f-43f5-9353-37051bb7bb53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95443f03-992f-43f5-9353-37051bb7bb53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5acb3698-2f79-43e0-8c36-8980c88858b6' class='xr-var-data-in' type='checkbox'><label for='data-5acb3698-2f79-43e0-8c36-8980c88858b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m3 s-3</dd><dt><span>long_name :</span></dt><dd>Moment 3 of the Vertical velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00, -9.06703065e-07, -4.93891685e-06, ...,\n",
+       "           2.80323817e-04,  2.41136935e-04,  1.95793502e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -3.21992076e-07, -1.77402251e-06, ...,\n",
+       "          -2.30133810e-05,  1.30888320e-05,  1.89649963e-05],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -7.35410097e-08, -4.65083644e-07, ...,\n",
+       "           3.61101207e-04,  3.98091885e-04,  4.33752866e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           1.29378506e-03,  1.47577142e-03,  1.69295853e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -2.97157612e-07, -1.46258469e-06, ...,\n",
+       "          -5.94276353e-04, -5.99161664e-04, -5.01382805e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>w_4</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 6.668e-08 6.486e-07 ... nan nan</div><input id='attrs-0dec54cf-0930-46aa-992c-7c489f7939f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dec54cf-0930-46aa-992c-7c489f7939f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b909a343-c37d-4aac-aa36-809e9689d6b4' class='xr-var-data-in' type='checkbox'><label for='data-b909a343-c37d-4aac-aa36-809e9689d6b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m4 s-4</dd><dt><span>long_name :</span></dt><dd>Moment 4 of the Vertical velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.00000000e+00, 6.66771030e-08, 6.48565674e-07, ...,\n",
+       "          9.40940401e-04, 9.42035345e-04, 9.61839047e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[0.00000000e+00, 2.27871340e-08, 2.25901502e-07, ...,\n",
+       "          5.23299619e-04, 5.03925898e-04, 4.90895996e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[0.00000000e+00, 1.25350823e-08, 1.34344319e-07, ...,\n",
+       "          1.23084930e-03, 1.23891840e-03, 1.26626110e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          4.87371767e-03, 5.12770889e-03, 5.47287846e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[0.00000000e+00, 7.93894586e-08, 6.87945487e-07, ...,\n",
+       "          2.03512283e-03, 2.13561649e-03, 2.21739407e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>w_2</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 9.161e-05 0.000298 ... nan nan</div><input id='attrs-8de0064b-b203-4c67-bdf9-3e9393e2e32a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8de0064b-b203-4c67-bdf9-3e9393e2e32a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be75ab85-4102-4ace-ba69-d5f7f98b2352' class='xr-var-data-in' type='checkbox'><label for='data-be75ab85-4102-4ace-ba69-d5f7f98b2352' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Vertical velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.00000000e+00, 9.16085264e-05, 2.97962717e-04, ...,\n",
+       "          1.74643099e-02, 1.75024848e-02, 1.77055653e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[0.00000000e+00, 5.97967301e-05, 1.95054061e-04, ...,\n",
+       "          1.37713207e-02, 1.34718912e-02, 1.32834027e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[0.00000000e+00, 5.90166273e-05, 1.95237444e-04, ...,\n",
+       "          2.14855373e-02, 2.14047786e-02, 2.13972572e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          3.96590754e-02, 4.07278873e-02, 4.19532470e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[0.00000000e+00, 1.41293727e-04, 4.27006744e-04, ...,\n",
+       "          2.54677460e-02, 2.61678938e-02, 2.67648324e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.108 -0.1084 -0.1087 ... nan nan</div><input id='attrs-5b15aed1-b081-4382-86f5-8a418dd43740' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b15aed1-b081-4382-86f5-8a418dd43740' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b44241d-7313-43a8-a27f-0e594f6bd70e' class='xr-var-data-in' type='checkbox'><label for='data-8b44241d-7313-43a8-a27f-0e594f6bd70e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>long_name :</span></dt><dd>Pressure</dd></dl></div><div class='xr-var-data'><pre>array([[[[-0.10800928, -0.10835731, -0.1086956 , ..., -0.11452613,\n",
+       "          -0.11444441, -0.1144923 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.10794923, -0.10819447, -0.10844407, ..., -0.11419653,\n",
+       "          -0.11386812, -0.11358403],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.13556617, -0.1357502 , -0.13596681, ..., -0.14468706,\n",
+       "          -0.14449061, -0.14439411],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[-0.23685719, -0.23728843, -0.23767434, ..., -0.27016094,\n",
+       "          -0.27144003, -0.27255103],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.23667555, -0.23717429, -0.23758115, ..., -0.25887594,\n",
+       "          -0.25940368, -0.25994244],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -3.164e-05 ... nan nan</div><input id='attrs-1f62603f-a76d-490d-b2b2-873cb968875c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f62603f-a76d-490d-b2b2-873cb968875c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a68c064b-2818-4abe-a598-6a5bd30b3c6d' class='xr-var-data-in' type='checkbox'><label for='data-a68c064b-2818-4abe-a598-6a5bd30b3c6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa m-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the Pressure</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00, -3.16387777e-05, -2.81903576e-05, ...,\n",
+       "           2.04312460e-06, -1.19728975e-06, -2.85893657e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -2.22944054e-05, -2.08010752e-05, ...,\n",
+       "           8.21014601e-06,  7.10233735e-06,  5.41984264e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -1.67290782e-05, -1.80501866e-05, ...,\n",
+       "           4.91127457e-06,  2.41244084e-06,  4.58316372e-08],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -3.19765386e-05, -2.77755607e-05, -2.66761272e-05],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00, -4.53412904e-05, -3.39050421e-05, ...,\n",
+       "          -1.31937495e-05, -1.34686043e-05, -1.23689542e-05],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.858 2.824 2.792 ... nan nan nan</div><input id='attrs-00129adf-ba62-49e7-b063-8d35a27e9bcd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00129adf-ba62-49e7-b063-8d35a27e9bcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03989166-6aae-43cd-9ca3-2c63ec3eb612' class='xr-var-data-in' type='checkbox'><label for='data-03989166-6aae-43cd-9ca3-2c63ec3eb612' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Pressure</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 2.8579495 ,  2.8240483 ,  2.7924984 , ...,  2.207691  ,\n",
+       "           2.1574059 ,  2.1123304 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 3.171086  ,  3.1687863 ,  3.1685035 , ...,  1.1986715 ,\n",
+       "           1.1707826 ,  1.1495337 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 2.9313374 ,  2.9286213 ,  2.927327  , ...,  2.0324907 ,\n",
+       "           2.0163167 ,  2.0076082 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 2.6819513 ,  2.6608226 ,  2.6425488 , ...,  4.36505   ,\n",
+       "           4.3610935 ,  4.358871  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.47701955,  0.46205878,  0.44835815, ...,  1.9038005 ,\n",
+       "           1.9109792 ,  1.9085034 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -0.002575 -0.004335 ... nan nan</div><input id='attrs-816d752d-2594-432a-be80-4adc061901e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-816d752d-2594-432a-be80-4adc061901e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e20c6824-9a02-4a71-8d82-cdfc1179ea59' class='xr-var-data-in' type='checkbox'><label for='data-e20c6824-9a02-4a71-8d82-cdfc1179ea59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa m s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Pressure</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.        , -0.00257495, -0.00433491, ...,  0.0253437 ,\n",
+       "           0.02622891,  0.02714764],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        , -0.00148246, -0.00244596, ...,  0.0190824 ,\n",
+       "           0.01892645,  0.01881476],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        , -0.00158928, -0.00264439, ...,  0.01583462,\n",
+       "           0.01583607,  0.01576538],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 0.        , -0.00164386, -0.00259885, ...,  0.07761899,\n",
+       "           0.08227109,  0.08783305],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        , -0.00115905, -0.00175072, ...,  0.00810947,\n",
+       "           0.00820806,  0.0077717 ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ke</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.795 14.83 19.37 ... nan nan nan</div><input id='attrs-6b4c3814-4f87-402d-8242-f8fff587326e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b4c3814-4f87-402d-8242-f8fff587326e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c44a945b-4d2f-4035-95bc-469d1a6ef6f7' class='xr-var-data-in' type='checkbox'><label for='data-c44a945b-4d2f-4035-95bc-469d1a6ef6f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Kinetic energy</dd></dl></div><div class='xr-var-data'><pre>array([[[[  9.795363 ,  14.830974 ,  19.365995 , ..., 153.5522   ,\n",
+       "          160.21724  , 166.9752   ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  9.502869 ,  14.390937 ,  18.814737 , ..., 152.76085  ,\n",
+       "          159.34296  , 165.98346  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  9.542724 ,  14.456715 ,  18.916265 , ..., 153.56331  ,\n",
+       "          160.30305  , 167.13416  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[  7.021042 ,  10.084592 ,  13.051422 , ..., 192.77563  ,\n",
+       "          206.17482  , 220.02295  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  7.1824226,  10.330031 ,  13.365296 , ..., 191.69432  ,\n",
+       "          204.71935  , 217.97585  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tke</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.3072 0.4609 0.5849 ... nan nan</div><input id='attrs-df0b0958-25a2-413a-86fe-ee438d74205b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df0b0958-25a2-413a-86fe-ee438d74205b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52d6d9f5-a09f-447b-a908-05783df3c711' class='xr-var-data-in' type='checkbox'><label for='data-52d6d9f5-a09f-447b-a908-05783df3c711' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-2</dd><dt><span>long_name :</span></dt><dd>Turbulent kinetic energy</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.30719957, 0.46090594, 0.5848716 , ..., 0.11605256,\n",
+       "          0.1193805 , 0.1237849 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.2225483 , 0.3356966 , 0.42883086, ..., 0.10304159,\n",
+       "          0.10031692, 0.10005572],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.11558611, 0.17035629, 0.21464165, ..., 0.13234799,\n",
+       "          0.13468122, 0.13618617],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.0953754 , 0.1430042 , 0.17612737, ..., 0.5271252 ,\n",
+       "          0.5071241 , 0.49798715],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.10700534, 0.1651404 , 0.20549679, ..., 0.49899924,\n",
+       "          0.49636483, 0.47923926],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>36.5 36.5 36.5 ... 36.5 36.5 36.5</div><input id='attrs-96ad4bb2-c678-40b8-bc24-2a014cf2e9e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96ad4bb2-c678-40b8-bc24-2a014cf2e9e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37a8fb50-7a08-4669-93d1-8f9f43ca5cae' class='xr-var-data-in' type='checkbox'><label for='data-37a8fb50-7a08-4669-93d1-8f9f43ca5cae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>long_name :</span></dt><dd>Latitude</dd></dl></div><div class='xr-var-data'><pre>array([[[36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5]],\n",
+       "\n",
+       "       [[36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5]],\n",
+       "\n",
+       "       [[36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "...\n",
+       "        [ nan,  nan,  nan],\n",
+       "        [36.5, 36.5, 36.5]],\n",
+       "\n",
+       "       [[36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [ nan,  nan,  nan],\n",
+       "        [36.5, 36.5, 36.5]],\n",
+       "\n",
+       "       [[36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [36.5, 36.5, 36.5],\n",
+       "        [ nan,  nan,  nan],\n",
+       "        [36.5, 36.5, 36.5]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-97.5 -97.5 -97.5 ... -97.5 -97.5</div><input id='attrs-8e766c85-3c43-4f05-9632-f94a7d45f967' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e766c85-3c43-4f05-9632-f94a7d45f967' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47935298-c622-4164-b638-54805f92b5bd' class='xr-var-data-in' type='checkbox'><label for='data-47935298-c622-4164-b638-54805f92b5bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>long_name :</span></dt><dd>Longitude</dd></dl></div><div class='xr-var-data'><pre>array([[[-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5]],\n",
+       "\n",
+       "       [[-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5]],\n",
+       "\n",
+       "       [[-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "...\n",
+       "        [  nan,   nan,   nan],\n",
+       "        [-97.5, -97.5, -97.5]],\n",
+       "\n",
+       "       [[-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [  nan,   nan,   nan],\n",
+       "        [-97.5, -97.5, -97.5]],\n",
+       "\n",
+       "       [[-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [-97.5, -97.5, -97.5],\n",
+       "        [  nan,   nan,   nan],\n",
+       "        [-97.5, -97.5, -97.5]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>evisc</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.098 3.572 4.354 ... nan nan nan</div><input id='attrs-8b19626d-4a83-43f3-8db3-dc7727ef6941' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b19626d-4a83-43f3-8db3-dc7727ef6941' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7eb7c139-fb80-499e-b255-99eded5cf613' class='xr-var-data-in' type='checkbox'><label for='data-7eb7c139-fb80-499e-b255-99eded5cf613' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2 s-1</dd><dt><span>long_name :</span></dt><dd>Eddy viscosity</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.0977395, 3.5720208, 4.3541985, ..., 1.6772243, 1.7104617,\n",
+       "          1.6868349],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[2.0781243, 3.5316608, 4.319552 , ..., 1.7484323, 1.7766293,\n",
+       "          1.7778598],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[2.0941918, 3.567627 , 4.3743362, ..., 1.6959138, 1.7910227,\n",
+       "          1.8332195],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[1.9394323, 2.46546  , 3.0798695, ..., 3.6931698, 3.6100519,\n",
+       "          3.5069816],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[1.9597093, 2.5042717, 3.120716 , ..., 3.447755 , 3.299697 ,\n",
+       "          3.2448044],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>evisc_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1074 0.4291 0.6318 ... nan nan</div><input id='attrs-5756b9cd-f823-4803-b18e-9b16e0b6e9a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5756b9cd-f823-4803-b18e-9b16e0b6e9a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1f41434-ab42-4ad7-97b7-6da54e79d117' class='xr-var-data-in' type='checkbox'><label for='data-a1f41434-ab42-4ad7-97b7-6da54e79d117' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m4 s-2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Eddy viscosity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.10735131, 0.4290662 , 0.63181734, ..., 1.9052709 ,\n",
+       "          1.9713782 , 1.959446  ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.0788307 , 0.32360795, 0.49348748, ..., 1.7801892 ,\n",
+       "          1.8902756 , 1.9255518 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.0399599 , 0.15465891, 0.25249264, ..., 2.0641997 ,\n",
+       "          2.038348  , 2.0201557 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.04886763, 0.20157452, 0.31760672, ..., 6.110246  ,\n",
+       "          6.153991  , 6.1157136 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.04385162, 0.23412722, 0.3406634 , ..., 5.7889557 ,\n",
+       "          5.812475  , 5.8039165 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.003148 0.003262 ... nan nan</div><input id='attrs-f1d995d8-bddf-42b3-8db3-1df292e5a0ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1d995d8-bddf-42b3-8db3-1df292e5a0ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da115844-b34c-4f21-96da-05e4512fa125' class='xr-var-data-in' type='checkbox'><label for='data-da115844-b34c-4f21-96da-05e4512fa125' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-3</dd><dt><span>long_name :</span></dt><dd>Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[3.1479627e-03, 3.2623836e-03, 3.3518311e-03, ...,\n",
+       "          5.4207473e-04, 4.9476390e-04, 4.5082203e-04],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[7.9370715e-05, 8.2239239e-05, 8.4471299e-05, ...,\n",
+       "          1.9437164e-06, 1.7863771e-06, 1.6419261e-06],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[8.2359758e-05, 8.5319982e-05, 8.7609260e-05, ...,\n",
+       "          2.0887869e-06, 1.8857172e-06, 1.7119846e-06],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "...\n",
+       "        [[2.8147741e-05, 2.9195335e-05, 3.0110217e-05, ...,\n",
+       "          1.1235340e-03, 9.9690992e-04, 8.7939418e-04],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[2.5819822e-05, 2.6785527e-05, 2.7636333e-05, ...,\n",
+       "          2.6740483e-04, 2.3645627e-04, 2.0816055e-04],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_3</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.025e-12 4.235e-12 ... nan nan</div><input id='attrs-85ee5a8b-892c-44aa-8565-4abd75532072' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85ee5a8b-892c-44aa-8565-4abd75532072' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a0a0d02-9e86-446c-b63d-4900ec998cfe' class='xr-var-data-in' type='checkbox'><label for='data-4a0a0d02-9e86-446c-b63d-4900ec998cfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-9</dd><dt><span>long_name :</span></dt><dd>Moment 3 of the Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 4.02455673e-12,  4.23546051e-12,  4.23310475e-12, ...,\n",
+       "           9.15468466e-15,  1.13323903e-14, -9.41237834e-16],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 3.81188550e-17,  4.20001519e-17,  4.53645402e-17, ...,\n",
+       "           1.18068077e-21,  4.99992512e-22,  1.57913684e-22],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-7.63993785e-19, -8.18762034e-19, -8.24912638e-19, ...,\n",
+       "           2.09834981e-21,  7.20141755e-22,  5.26168709e-22],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           3.87546982e-13,  6.99197305e-14, -3.50754311e-14],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-1.13686680e-18, -1.18958777e-18, -1.10628707e-18, ...,\n",
+       "           2.87408973e-15,  1.63446686e-15, -5.34798127e-16],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_4</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.206e-15 9.307e-15 ... nan nan</div><input id='attrs-4362f686-3e21-48ee-b079-c793bd2e11d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4362f686-3e21-48ee-b079-c793bd2e11d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad07cad4-dc69-4551-bd59-5a043c256c2a' class='xr-var-data-in' type='checkbox'><label for='data-ad07cad4-dc69-4551-bd59-5a043c256c2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-12</dd><dt><span>long_name :</span></dt><dd>Moment 4 of the Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[8.20607467e-15, 9.30712772e-15, 1.02686626e-14, ...,\n",
+       "          1.07605039e-17, 7.81798424e-18, 6.64601200e-18],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[7.33173182e-22, 8.21558723e-22, 8.92098539e-22, ...,\n",
+       "          1.65672230e-27, 1.03001728e-27, 6.45728536e-28],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[5.94375832e-23, 6.24402150e-23, 6.19400645e-23, ...,\n",
+       "          5.78941513e-27, 2.87919690e-27, 1.41365656e-27],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          9.87319073e-16, 6.99550059e-16, 5.18060650e-16],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[1.27811029e-22, 1.42831837e-22, 1.58222539e-22, ...,\n",
+       "          2.25692280e-18, 1.66019605e-18, 1.33599761e-18],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.264e-05 -8.754e-05 ... nan nan</div><input id='attrs-4b7879f2-9741-45db-ac11-1bdca009381e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b7879f2-9741-45db-ac11-1bdca009381e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a65e1ca-06d3-4a99-9e18-4b2ff34a63eb' class='xr-var-data-in' type='checkbox'><label for='data-4a65e1ca-06d3-4a99-9e18-4b2ff34a63eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-2 s-1</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[-8.26411342e-05, -8.75351907e-05, -8.73357276e-05, ...,\n",
+       "           4.57057695e-06,  4.19627349e-06,  3.84657460e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-2.06252389e-06, -2.17984439e-06, -2.16897593e-06, ...,\n",
+       "           1.63124039e-08,  1.51442077e-08,  1.41378758e-08],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-2.16566855e-06, -2.28179920e-06, -2.26528732e-06, ...,\n",
+       "           2.01636166e-08,  1.82692173e-08,  1.64759886e-08],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           2.88765150e-05,  2.59080116e-05,  2.31031572e-05],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-5.00880844e-07, -5.82132259e-07, -5.83734334e-07, ...,\n",
+       "           6.11107635e-06,  5.40975316e-06,  4.81929555e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 5.269e-07 1.01e-06 ... nan nan</div><input id='attrs-1fb9c778-7ef3-4028-806b-2790e62d7cdb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fb9c778-7ef3-4028-806b-2790e62d7cdb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1464b589-fc4a-4dba-b888-ba3f6e987f20' class='xr-var-data-in' type='checkbox'><label for='data-1464b589-fc4a-4dba-b888-ba3f6e987f20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-2 s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  5.26867780e-07,  1.01025432e-06, ...,\n",
+       "          -4.83350107e-07, -4.66095003e-07, -4.69549263e-07],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  6.60265620e-09,  1.26158506e-08, ...,\n",
+       "          -1.31457123e-09, -1.10652276e-09, -9.84318071e-10],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.35220990e-09,  2.44131604e-09, ...,\n",
+       "          -2.53168975e-09, -2.11530549e-09, -1.53443536e-09],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -4.83853910e-07, -6.24774771e-07, -9.15997987e-07],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.07969322e-08,  1.93824761e-08, ...,\n",
+       "          -1.61054814e-07, -9.23061805e-08, -9.81890764e-08],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0003148 1.04e-05 ... nan nan</div><input id='attrs-fbead368-d495-40d2-b8d5-ee83f5f22621' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbead368-d495-40d2-b8d5-ee83f5f22621' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fefe3e87-81ea-49b4-b740-6a3560255799' class='xr-var-data-in' type='checkbox'><label for='data-fefe3e87-81ea-49b4-b740-6a3560255799' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-4</dd><dt><span>long_name :</span></dt><dd>Gradient of the Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 3.1479631e-04,  1.0401895e-05,  7.4539862e-06, ...,\n",
+       "          -1.1827725e-06, -1.0985465e-06, -1.0664845e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 7.9370720e-06,  2.6077541e-07,  1.8600430e-07, ...,\n",
+       "          -3.9334851e-09, -3.6112651e-09, -3.4333925e-09],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 8.2359766e-06,  2.6911150e-07,  1.9077375e-07, ...,\n",
+       "          -5.0767421e-09, -4.3433164e-09, -3.8263535e-09],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          -3.1656018e-06, -2.9378941e-06, -2.7921958e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 2.5819825e-06,  8.7791385e-08,  7.0900384e-08, ...,\n",
+       "          -7.7371465e-07, -7.0739270e-07, -6.3186127e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.015e-08 7.486e-08 ... nan nan</div><input id='attrs-fb66b4cf-e985-49bf-bb50-e5ed8b7a47f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb66b4cf-e985-49bf-bb50-e5ed8b7a47f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fedf9364-dcce-4867-a744-ae745b8c40fb' class='xr-var-data-in' type='checkbox'><label for='data-fedf9364-dcce-4867-a744-ae745b8c40fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-6</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[7.01540444e-08, 7.48610915e-08, 7.88278172e-08, ...,\n",
+       "          1.87821958e-09, 1.59875269e-09, 1.48401968e-09],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[1.92220077e-11, 2.04218864e-11, 2.14027546e-11, ...,\n",
+       "          2.24398493e-14, 1.74261376e-14, 1.41901498e-14],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[4.60553514e-12, 4.73854853e-12, 4.73959977e-12, ...,\n",
+       "          4.28393181e-14, 3.08440034e-14, 2.22561820e-14],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          1.71576939e-08, 1.46726755e-08, 1.31231639e-08],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[6.32279689e-12, 6.67718094e-12, 7.01210617e-12, ...,\n",
+       "          8.25486179e-10, 6.98727021e-10, 6.33837427e-10],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>36.91 nan nan ... 3.88 nan nan</div><input id='attrs-70aed139-74af-4bf1-8a28-7bc264d555cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70aed139-74af-4bf1-8a28-7bc264d555cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13566993-76a1-4a3b-a80d-2b6f5a122723' class='xr-var-data-in' type='checkbox'><label for='data-13566993-76a1-4a3b-a80d-2b6f5a122723' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-5 kg</dd><dt><span>long_name :</span></dt><dd>Number density rain path</dd></dl></div><div class='xr-var-data'><pre>array([[[3.69077530e+01,            nan,            nan],\n",
+       "        [6.73391819e-01,            nan,            nan],\n",
+       "        [6.18919075e-01,            nan,            nan],\n",
+       "        [6.18919075e-01,            nan,            nan],\n",
+       "        [2.29406312e-01,            nan,            nan],\n",
+       "        [1.67284310e-01,            nan,            nan],\n",
+       "        [1.83360338e-01,            nan,            nan],\n",
+       "        [1.07336678e-01,            nan,            nan]],\n",
+       "\n",
+       "       [[3.67975502e+01,            nan,            nan],\n",
+       "        [6.71401322e-01,            nan,            nan],\n",
+       "        [6.16400123e-01,            nan,            nan],\n",
+       "        [6.16400123e-01,            nan,            nan],\n",
+       "        [2.28601739e-01,            nan,            nan],\n",
+       "        [1.66589156e-01,            nan,            nan],\n",
+       "        [1.82385579e-01,            nan,            nan],\n",
+       "        [1.06941499e-01,            nan,            nan]],\n",
+       "\n",
+       "       [[3.66250458e+01,            nan,            nan],\n",
+       "        [6.67640865e-01,            nan,            nan],\n",
+       "...\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [4.12121153e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[1.55574424e+04,            nan,            nan],\n",
+       "        [9.53789673e+01,            nan,            nan],\n",
+       "        [7.58012161e+01,            nan,            nan],\n",
+       "        [7.58012161e+01,            nan,            nan],\n",
+       "        [2.24761887e+01,            nan,            nan],\n",
+       "        [1.31636772e+01,            nan,            nan],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [3.98081136e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[1.52495342e+04,            nan,            nan],\n",
+       "        [9.27691345e+01,            nan,            nan],\n",
+       "        [7.38655090e+01,            nan,            nan],\n",
+       "        [7.38655090e+01,            nan,            nan],\n",
+       "        [2.21070080e+01,            nan,            nan],\n",
+       "        [1.29008636e+01,            nan,            nan],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [3.87951922e+00,            nan,            nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-8.264e-05 -8.701e-05 ... nan nan</div><input id='attrs-1e90cb3f-5218-4333-8109-b93552a55166' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e90cb3f-5218-4333-8109-b93552a55166' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf479d9e-0f45-4370-9d36-7df2db4ae425' class='xr-var-data-in' type='checkbox'><label for='data-cf479d9e-0f45-4370-9d36-7df2db4ae425' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-2 s-1</dd><dt><span>long_name :</span></dt><dd>Total flux of the Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[[-8.2641134e-05, -8.7008324e-05, -8.6325475e-05, ...,\n",
+       "           4.0872269e-06,  3.7301782e-06,  3.3770255e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-2.0625239e-06, -2.1732415e-06, -2.1563601e-06, ...,\n",
+       "           1.4997832e-08,  1.4037685e-08,  1.3153557e-08],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-2.1656685e-06, -2.2804472e-06, -2.2628458e-06, ...,\n",
+       "           1.7631924e-08,  1.6153910e-08,  1.4941554e-08],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "           2.8392658e-05,  2.5283238e-05,  2.2187158e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-5.0088084e-07, -5.7133525e-07, -5.6435186e-07, ...,\n",
+       "           5.9500217e-06,  5.3174476e-06,  4.7211070e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.22e-16 2.236e-16 ... nan nan</div><input id='attrs-d8170e46-8d29-402f-8864-600912c51073' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8170e46-8d29-402f-8864-600912c51073' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-670a1c89-1826-488a-a7cd-c10a6f59ea0a' class='xr-var-data-in' type='checkbox'><label for='data-670a1c89-1826-488a-a7cd-c10a6f59ea0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.2204460e-16, 2.2362739e-16, 2.2486890e-16, ...,\n",
+       "          2.2372507e-16, 2.2360579e-16, 2.2349343e-16],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[2.2204460e-16, 2.2397325e-16, 2.2548194e-16, ...,\n",
+       "          2.2266781e-16, 2.2262173e-16, 2.2257943e-16],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[2.2204460e-16, 2.2435806e-16, 2.2615915e-16, ...,\n",
+       "          2.2273168e-16, 2.2267482e-16, 2.2262575e-16],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "...\n",
+       "        [[3.7554593e-16, 3.8938062e-16, 4.0137673e-16, ...,\n",
+       "          2.2911876e-16, 2.2878299e-16, 2.2843370e-16],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[3.3423052e-16, 3.4655646e-16, 3.5728064e-16, ...,\n",
+       "          2.7610122e-16, 2.7304941e-16, 2.6992166e-16],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_3</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-4e8ad0b0-c9e9-49e6-b75f-0928850f5dc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e8ad0b0-c9e9-49e6-b75f-0928850f5dc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd7840d5-03b1-47ea-a201-3a420fc84b24' class='xr-var-data-in' type='checkbox'><label for='data-fd7840d5-03b1-47ea-a201-3a420fc84b24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg3 kg-3</dd><dt><span>long_name :</span></dt><dd>Moment 3 of the Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_4</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-18c031f5-e54d-45c1-8de0-dcf493d1ce96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18c031f5-e54d-45c1-8de0-dcf493d1ce96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efab3e18-6183-49a2-961c-f93941be4524' class='xr-var-data-in' type='checkbox'><label for='data-efab3e18-6183-49a2-961c-f93941be4524' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg4 kg-4</dd><dt><span>long_name :</span></dt><dd>Moment 4 of the Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-5.882e-18 -1.192e-18 ... nan nan</div><input id='attrs-b5be297c-7940-462d-88f1-8e1787521ab5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5be297c-7940-462d-88f1-8e1787521ab5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93a7791f-5b4c-4f1f-b890-6e4260ebecb3' class='xr-var-data-in' type='checkbox'><label for='data-93a7791f-5b4c-4f1f-b890-6e4260ebecb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[-5.88247011e-18, -1.19247670e-18, -1.19681837e-18, ...,\n",
+       "           1.15305690e-20,  1.07268039e-20,  1.00071592e-20],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-5.79815683e-18, -1.45152630e-18, -1.45543670e-18, ...,\n",
+       "           4.77716958e-21,  4.43206401e-21,  4.15000350e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-5.83872880e-18, -1.78690141e-18, -1.79049820e-18, ...,\n",
+       "           5.64627710e-21,  5.16263130e-21,  4.71428205e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           7.68798011e-20,  7.71060092e-20,  7.70576837e-20],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-6.49633118e-18, -7.45220497e-18, -7.39610393e-18, ...,\n",
+       "           6.05926291e-19,  6.00330724e-19,  5.95907272e-19],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 4.027e-22 2.304e-21 ... nan nan</div><input id='attrs-5d0d1d56-217a-4d8e-a309-7290d77b6525' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d0d1d56-217a-4d8e-a309-7290d77b6525' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79bd2e0a-53a1-403f-9d58-460b10db23ef' class='xr-var-data-in' type='checkbox'><label for='data-79bd2e0a-53a1-403f-9d58-460b10db23ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  4.02657199e-22,  2.30372244e-21, ...,\n",
+       "          -1.16953413e-21, -1.14102366e-21, -1.17543658e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  2.60299638e-22,  1.58521006e-21, ...,\n",
+       "          -3.88918145e-22, -3.24997339e-22, -2.87731222e-22],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  2.32686499e-23,  4.16562179e-22, ...,\n",
+       "          -7.11142935e-22, -5.97616233e-22, -4.40953455e-22],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -6.49325320e-22, -9.53422086e-22, -1.85437636e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.02804566e-19,  1.84055196e-19, ...,\n",
+       "          -1.19520369e-20, -8.93570742e-21, -1.28143161e-20],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.22e-17 1.439e-19 ... nan nan</div><input id='attrs-d3dc440e-9691-43a5-8ba6-81660cac2af6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3dc440e-9691-43a5-8ba6-81660cac2af6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64e6c814-9e58-49d2-b718-69f2bcb32764' class='xr-var-data-in' type='checkbox'><label for='data-64e6c814-9e58-49d2-b718-69f2bcb32764' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 2.22044608e-17,  1.43890885e-19,  1.03456339e-19, ...,\n",
+       "          -2.98230660e-21, -2.80853607e-21, -2.77556254e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 2.22044608e-17,  1.75330094e-19,  1.25726374e-19, ...,\n",
+       "          -1.15224149e-21, -1.05684864e-21, -1.00836487e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 2.22044608e-17,  2.10314845e-19,  1.50088613e-19, ...,\n",
+       "          -1.42096462e-21, -1.22710578e-21, -1.09481030e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "          -8.39438638e-21, -8.73202632e-21, -9.31879141e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 3.34230499e-17,  1.12054322e-18,  8.93679937e-19, ...,\n",
+       "          -7.62959925e-20, -7.81935449e-20, -7.78816073e-20],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.166e-37 6.78e-37 ... nan nan</div><input id='attrs-4c6cec6f-7ce3-476b-9c9a-87cb23c68eff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c6cec6f-7ce3-476b-9c9a-87cb23c68eff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-982b0aab-f7d3-4794-98ea-9eeb9557db5e' class='xr-var-data-in' type='checkbox'><label for='data-982b0aab-f7d3-4794-98ea-9eeb9557db5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg2 kg-2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.0000000e+00, 2.1656054e-37, 6.7797053e-37, ...,\n",
+       "          1.1542481e-38, 1.0030577e-38, 9.6560366e-39],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[0.0000000e+00, 2.0457695e-37, 6.2866168e-37, ...,\n",
+       "          1.9484691e-39, 1.4900455e-39, 1.2097494e-39],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[0.0000000e+00, 1.6911261e-37, 4.8701700e-37, ...,\n",
+       "          3.2856708e-39, 2.3879331e-39, 1.7555047e-39],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "...\n",
+       "        [[5.4105401e-34, 5.6271185e-34, 5.8222368e-34, ...,\n",
+       "          1.0040613e-37, 1.1197119e-37, 1.2679795e-37],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[2.8337466e-34, 2.9799792e-34, 3.1175986e-34, ...,\n",
+       "          6.7424524e-36, 7.3239870e-36, 8.3071692e-36],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.477e-12 nan nan ... nan nan</div><input id='attrs-6666fd12-a264-4a88-b47f-87af8994c1cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6666fd12-a264-4a88-b47f-87af8994c1cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e46c0056-975d-4039-8bd5-6d374301d060' class='xr-var-data-in' type='checkbox'><label for='data-e46c0056-975d-4039-8bd5-6d374301d060' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>long_name :</span></dt><dd>Rain water specific humidity path</dd></dl></div><div class='xr-var-data'><pre>array([[[2.47702184e-12,            nan,            nan],\n",
+       "        [2.48390132e-12,            nan,            nan],\n",
+       "        [2.50920487e-12,            nan,            nan],\n",
+       "        [2.50920487e-12,            nan,            nan],\n",
+       "        [2.58992936e-12,            nan,            nan],\n",
+       "        [2.60257701e-12,            nan,            nan],\n",
+       "        [2.56040675e-12,            nan,            nan],\n",
+       "        [2.61850589e-12,            nan,            nan]],\n",
+       "\n",
+       "       [[2.47666818e-12,            nan,            nan],\n",
+       "        [2.48302138e-12,            nan,            nan],\n",
+       "        [2.50766573e-12,            nan,            nan],\n",
+       "        [2.50766573e-12,            nan,            nan],\n",
+       "        [2.58592995e-12,            nan,            nan],\n",
+       "        [2.59927171e-12,            nan,            nan],\n",
+       "        [2.55750217e-12,            nan,            nan],\n",
+       "        [2.61752447e-12,            nan,            nan]],\n",
+       "\n",
+       "       [[2.47584006e-12,            nan,            nan],\n",
+       "        [2.48183678e-12,            nan,            nan],\n",
+       "...\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [3.32723541e-12,            nan,            nan]],\n",
+       "\n",
+       "       [[3.39538640e-12,            nan,            nan],\n",
+       "        [3.16361715e-12,            nan,            nan],\n",
+       "        [3.34187279e-12,            nan,            nan],\n",
+       "        [3.34187279e-12,            nan,            nan],\n",
+       "        [3.44044433e-12,            nan,            nan],\n",
+       "        [3.33945480e-12,            nan,            nan],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [3.29048247e-12,            nan,            nan]],\n",
+       "\n",
+       "       [[3.36109504e-12,            nan,            nan],\n",
+       "        [3.13615171e-12,            nan,            nan],\n",
+       "        [3.30498584e-12,            nan,            nan],\n",
+       "        [3.30498584e-12,            nan,            nan],\n",
+       "        [3.40443927e-12,            nan,            nan],\n",
+       "        [3.30392137e-12,            nan,            nan],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [3.25813009e-12,            nan,            nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-5.882e-18 -1.192e-18 ... nan nan</div><input id='attrs-012aa9a4-86af-4bad-b9e8-c1b6d92e42ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-012aa9a4-86af-4bad-b9e8-c1b6d92e42ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8abbb9c9-11d1-471d-8a77-ba01236d8e7e' class='xr-var-data-in' type='checkbox'><label for='data-8abbb9c9-11d1-471d-8a77-ba01236d8e7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Total flux of the Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[-5.88247011e-18, -1.19207397e-18, -1.19451467e-18, ...,\n",
+       "           1.03610357e-20,  9.58578011e-21,  8.83172258e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-5.79815683e-18, -1.45126605e-18, -1.45385140e-18, ...,\n",
+       "           4.38825131e-21,  4.10706685e-21,  3.86227188e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-5.83872880e-18, -1.78687825e-18, -1.79008171e-18, ...,\n",
+       "           4.93513402e-21,  4.56501553e-21,  4.27332854e-21],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           7.62304837e-20,  7.61525930e-20,  7.52033063e-20],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-6.49633118e-18, -7.34940131e-18, -7.21204797e-18, ...,\n",
+       "           5.93974255e-19,  5.91395054e-19,  5.83093004e-19],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01287 0.01284 0.01281 ... nan nan</div><input id='attrs-03967a39-40e0-4aac-853c-11989e19597f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03967a39-40e0-4aac-853c-11989e19597f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-776dafab-b96e-4017-a0e5-2c00a3464db5' class='xr-var-data-in' type='checkbox'><label for='data-776dafab-b96e-4017-a0e5-2c00a3464db5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.01287029, 0.01283774, 0.01281243, ..., 0.0034652 ,\n",
+       "          0.00343089, 0.00339768],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01280969, 0.01277671, 0.01275115, ..., 0.00346343,\n",
+       "          0.00343073, 0.00339915],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01276983, 0.01273711, 0.0127118 , ..., 0.00346159,\n",
+       "          0.00342722, 0.00339585],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.01324369, 0.01323528, 0.01322762, ..., 0.00264176,\n",
+       "          0.00258578, 0.00253013],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01325383, 0.01324546, 0.01323776, ..., 0.00266066,\n",
+       "          0.00259785, 0.00253677],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_3</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-6.863e-14 -6.587e-14 ... nan nan</div><input id='attrs-c11423cf-4204-490e-a351-86daf4743e60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c11423cf-4204-490e-a351-86daf4743e60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4272d057-1eeb-46cb-9495-81e20301379a' class='xr-var-data-in' type='checkbox'><label for='data-4272d057-1eeb-46cb-9495-81e20301379a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg3 kg-3</dd><dt><span>long_name :</span></dt><dd>Moment 3 of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[-6.86283644e-14, -6.58671590e-14, -5.68206879e-14, ...,\n",
+       "          -7.04244103e-16,  1.56713885e-15, -1.99117011e-15],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-1.20937697e-13, -1.35849760e-13, -1.47553668e-13, ...,\n",
+       "           2.98773910e-15,  1.43305015e-15,  9.20618935e-17],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-1.41049017e-15, -1.16092081e-15, -9.25048387e-16, ...,\n",
+       "           1.55012959e-15, -9.68085814e-16,  3.01423742e-16],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           4.89087359e-16, -1.85081239e-14, -2.10561159e-14],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 3.32524298e-14,  3.34542608e-14,  3.34335695e-14, ...,\n",
+       "           1.15985661e-15, -5.79176735e-15, -2.28340652e-14],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_4</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.377e-16 1.562e-16 ... nan nan</div><input id='attrs-341046f1-c800-462b-876b-c33926dbfb9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-341046f1-c800-462b-876b-c33926dbfb9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccd2a456-41b7-4bf3-a751-a69cee8d8f6b' class='xr-var-data-in' type='checkbox'><label for='data-ccd2a456-41b7-4bf3-a751-a69cee8d8f6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg4 kg-4</dd><dt><span>long_name :</span></dt><dd>Moment 4 of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.37723759e-16, 1.56152258e-16, 1.73939539e-16, ...,\n",
+       "          2.10297270e-18, 1.88720781e-18, 1.99201552e-18],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[2.87338259e-17, 3.32124861e-17, 3.75803141e-17, ...,\n",
+       "          1.93598872e-18, 1.73045729e-18, 1.35549094e-18],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[1.40590171e-18, 1.28933748e-18, 1.25269928e-18, ...,\n",
+       "          2.94173964e-18, 2.02081154e-18, 1.27786780e-18],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          2.65940205e-17, 2.69076377e-17, 2.71175729e-17],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[5.55513448e-18, 5.67886291e-18, 5.80068470e-18, ...,\n",
+       "          3.08245447e-17, 2.82880119e-17, 2.94486721e-17],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.366e-05 2.446e-05 ... nan nan</div><input id='attrs-6c6a1339-77bc-4ca2-94fc-26951127cebd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c6a1339-77bc-4ca2-94fc-26951127cebd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dda59f9-a139-4fb9-b45c-75b5c9277005' class='xr-var-data-in' type='checkbox'><label for='data-6dda59f9-a139-4fb9-b45c-75b5c9277005' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.36589749e-05, 2.44553794e-05, 2.43059276e-05, ...,\n",
+       "          3.34273159e-06, 3.19907463e-06, 3.02014246e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[2.39176807e-05, 2.46977634e-05, 2.44985131e-05, ...,\n",
+       "          3.42919043e-06, 3.33454477e-06, 3.19206470e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[2.41104226e-05, 2.49883960e-05, 2.48563501e-05, ...,\n",
+       "          3.44928799e-06, 3.33063940e-06, 3.14382191e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          1.27992416e-05, 1.22783786e-05, 1.17636655e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[4.02239175e-06, 4.96608163e-06, 5.19141986e-06, ...,\n",
+       "          1.24142507e-05, 1.16805832e-05, 1.10967221e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 -1.786e-07 ... nan nan</div><input id='attrs-03fac424-0601-458f-bc73-0648aea864a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03fac424-0601-458f-bc73-0648aea864a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e32f1e35-bef1-403a-95a3-3102853d70cd' class='xr-var-data-in' type='checkbox'><label for='data-e32f1e35-bef1-403a-95a3-3102853d70cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.0000000e+00, -1.7859433e-07, -3.6079166e-07, ...,\n",
+       "          -2.5410040e-07, -2.6241665e-07, -2.8879438e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 0.0000000e+00, -9.1905285e-08, -1.9050391e-07, ...,\n",
+       "          -2.3490503e-07, -2.0891366e-07, -1.9314109e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 0.0000000e+00, -2.1584393e-08, -4.8769127e-08, ...,\n",
+       "          -3.6157221e-07, -3.2599658e-07, -2.5277868e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          -1.7362777e-07, -2.4139334e-07, -3.8677965e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 0.0000000e+00, -1.8173621e-07, -3.2947253e-07, ...,\n",
+       "          -3.0179135e-07, -2.0541707e-07, -2.5850099e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-9.193e-05 -2.959e-06 ... nan nan</div><input id='attrs-d2328bfd-413c-4845-a6f6-e6220bc447eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2328bfd-413c-4845-a6f6-e6220bc447eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f00ca961-fde0-4fe5-8a82-ec541dbd2b36' class='xr-var-data-in' type='checkbox'><label for='data-f00ca961-fde0-4fe5-8a82-ec541dbd2b36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[-9.1927293e-05, -2.9594521e-06, -2.1085491e-06, ...,\n",
+       "          -8.5772155e-07, -8.3040692e-07, -8.2973361e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-9.3494098e-05, -2.9988857e-06, -2.1292781e-06, ...,\n",
+       "          -8.1757361e-07, -7.8938689e-07, -7.7220784e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-9.2585622e-05, -2.9747891e-06, -2.1093197e-06, ...,\n",
+       "          -8.5918646e-07, -7.8420959e-07, -7.2455032e-07],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          -1.3995486e-06, -1.3912368e-06, -1.4229577e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-2.1160449e-05, -7.6053402e-07, -6.4207347e-07, ...,\n",
+       "          -1.5704244e-06, -1.5269998e-06, -1.4548618e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.334e-09 1.002e-08 ... nan nan</div><input id='attrs-c542b641-4642-4cb6-b81d-987174bd6642' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c542b641-4642-4cb6-b81d-987174bd6642' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c40c4eb-6fac-4fe5-946d-40f0e118c0c7' class='xr-var-data-in' type='checkbox'><label for='data-9c40c4eb-6fac-4fe5-946d-40f0e118c0c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg2 kg-2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[9.3335766e-09, 1.0018840e-08, 1.0625603e-08, ...,\n",
+       "          8.3812363e-10, 7.9615309e-10, 8.1174178e-10],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[3.8155821e-09, 4.1742236e-09, 4.5006936e-09, ...,\n",
+       "          8.1970358e-10, 7.3845979e-10, 6.5589961e-10],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[7.0571343e-10, 6.8789358e-10, 6.8623168e-10, ...,\n",
+       "          9.8909736e-10, 8.3449442e-10, 6.8084488e-10],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "...\n",
+       "        [[1.7287322e-09, 1.7309620e-09, 1.7380382e-09, ...,\n",
+       "          2.8781697e-09, 2.8805580e-09, 2.9996368e-09],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[1.1571061e-09, 1.1714539e-09, 1.1858753e-09, ...,\n",
+       "          3.0509042e-09, 2.9214273e-09, 3.0023859e-09],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>35.09 nan nan ... 35.23 nan nan</div><input id='attrs-e2778dbe-d42b-42d9-bb23-b77819709da7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2778dbe-d42b-42d9-bb23-b77819709da7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a12e04fd-4a18-4858-a3e1-610cb99d6bd0' class='xr-var-data-in' type='checkbox'><label for='data-a12e04fd-4a18-4858-a3e1-610cb99d6bd0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>long_name :</span></dt><dd>Total water mixing ratio path</dd></dl></div><div class='xr-var-data'><pre>array([[[35.09441   ,         nan,         nan],\n",
+       "        [35.075603  ,         nan,         nan],\n",
+       "        [35.08698   ,         nan,         nan],\n",
+       "        [35.08698   ,         nan,         nan],\n",
+       "        [35.0945    ,         nan,         nan],\n",
+       "        [35.093426  ,         nan,         nan],\n",
+       "        [35.086     ,         nan,         nan],\n",
+       "        [35.07809   ,         nan,         nan]],\n",
+       "\n",
+       "       [[34.916935  ,         nan,         nan],\n",
+       "        [34.89986   ,         nan,         nan],\n",
+       "        [34.911453  ,         nan,         nan],\n",
+       "        [34.911453  ,         nan,         nan],\n",
+       "        [34.9231    ,         nan,         nan],\n",
+       "        [34.924908  ,         nan,         nan],\n",
+       "        [34.91966   ,         nan,         nan],\n",
+       "        [34.90865   ,         nan,         nan]],\n",
+       "\n",
+       "       [[34.736526  ,         nan,         nan],\n",
+       "        [34.72115   ,         nan,         nan],\n",
+       "...\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [36.099503  ,         nan,         nan]],\n",
+       "\n",
+       "       [[35.64555   ,         nan,         nan],\n",
+       "        [35.613373  ,         nan,         nan],\n",
+       "        [35.591663  ,         nan,         nan],\n",
+       "        [35.591663  ,         nan,         nan],\n",
+       "        [35.586906  ,         nan,         nan],\n",
+       "        [35.60393   ,         nan,         nan],\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [35.586308  ,         nan,         nan]],\n",
+       "\n",
+       "       [[35.284374  ,         nan,         nan],\n",
+       "        [35.255238  ,         nan,         nan],\n",
+       "        [35.230633  ,         nan,         nan],\n",
+       "        [35.230633  ,         nan,         nan],\n",
+       "        [35.22034   ,         nan,         nan],\n",
+       "        [35.242916  ,         nan,         nan],\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [35.229443  ,         nan,         nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.366e-05 2.428e-05 ... nan nan</div><input id='attrs-d9aca369-75e7-4c95-b44e-88d26583d5e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9aca369-75e7-4c95-b44e-88d26583d5e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dabdcff-e354-4e91-8b41-ab17fd9d0090' class='xr-var-data-in' type='checkbox'><label for='data-3dabdcff-e354-4e91-8b41-ab17fd9d0090' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Total flux of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.36589749e-05, 2.42767856e-05, 2.39451347e-05, ...,\n",
+       "          3.08863127e-06, 2.93665812e-06, 2.73134810e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[2.39176807e-05, 2.46058571e-05, 2.43080085e-05, ...,\n",
+       "          3.19428545e-06, 3.12563066e-06, 2.99892349e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[2.41104226e-05, 2.49668101e-05, 2.48075794e-05, ...,\n",
+       "          3.08771564e-06, 3.00464239e-06, 2.89104287e-06],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          1.26256127e-05, 1.20369850e-05, 1.13768847e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[4.02239175e-06, 4.78434504e-06, 4.86194767e-06, ...,\n",
+       "          1.21124604e-05, 1.14751665e-05, 1.08382219e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>301.9 301.9 302.0 ... nan nan nan</div><input id='attrs-2da62a2f-e419-455d-9271-b085c9a60df1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2da62a2f-e419-455d-9271-b085c9a60df1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ecc4149-a868-4ffd-878e-bd82b007e4dc' class='xr-var-data-in' type='checkbox'><label for='data-0ecc4149-a868-4ffd-878e-bd82b007e4dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[301.8982 , 301.92798, 301.95386, ..., 315.44577, 315.50064,\n",
+       "          315.55667],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[301.96854, 301.9997 , 302.02646, ..., 315.45566, 315.50854,\n",
+       "          315.56235],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[302.00003, 302.03192, 302.05902, ..., 315.4506 , 315.5055 ,\n",
+       "          315.55826],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[305.4972 , 305.58676, 305.66403, ..., 316.71423, 316.8317 ,\n",
+       "          316.95273],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[305.46396, 305.5525 , 305.62918, ..., 316.69632, 316.82654,\n",
+       "          316.95792],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_3</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0001191 0.0001081 ... nan nan</div><input id='attrs-5986ff76-180e-4e6d-8c55-f3a4d03a1b60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5986ff76-180e-4e6d-8c55-f3a4d03a1b60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cd0990b-8cd3-4050-9d33-06cd1e006273' class='xr-var-data-in' type='checkbox'><label for='data-4cd0990b-8cd3-4050-9d33-06cd1e006273' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K3</dd><dt><span>long_name :</span></dt><dd>Moment 3 of the Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 1.19082608e-04,  1.08137996e-04,  7.05633138e-05, ...,\n",
+       "           1.02648119e-05,  6.94127721e-07,  1.85313511e-05],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 1.43887548e-04,  1.68289713e-04,  1.91936459e-04, ...,\n",
+       "          -7.71501436e-06, -1.76041738e-06,  6.52918015e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 1.24668650e-05,  1.17692034e-05,  1.09536277e-05, ...,\n",
+       "           1.86890259e-06,  1.10436013e-05,  5.85230237e-06],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           9.09579467e-05,  2.67619384e-04,  2.93127930e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[-1.16207253e-03, -1.12733431e-03, -1.08166819e-03, ...,\n",
+       "           8.50136639e-05,  1.56937647e-04,  3.27268732e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_4</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0007332 0.0008012 ... nan nan</div><input id='attrs-3cdc9779-d9bf-41e0-86b4-cb503f26e2d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cdc9779-d9bf-41e0-86b4-cb503f26e2d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c89d785-02a5-44c5-adb2-be5a9f81c13e' class='xr-var-data-in' type='checkbox'><label for='data-2c89d785-02a5-44c5-adb2-be5a9f81c13e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K4</dd><dt><span>long_name :</span></dt><dd>Moment 4 of the Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[7.33237190e-04, 8.01223796e-04, 8.65319103e-04, ...,\n",
+       "          1.25900433e-05, 1.34630964e-05, 1.80966836e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[1.00472163e-04, 1.09841116e-04, 1.18703116e-04, ...,\n",
+       "          1.27009125e-05, 1.38067408e-05, 1.31977240e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[7.21509650e-06, 7.25783457e-06, 7.25815653e-06, ...,\n",
+       "          1.68208189e-05, 1.39780577e-05, 1.10715519e-05],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          4.61318094e-04, 5.60232962e-04, 6.52994961e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[6.04892382e-04, 5.74022008e-04, 5.32370759e-04, ...,\n",
+       "          5.15479071e-04, 5.44183247e-04, 6.62755396e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.01687 -0.02254 ... nan nan</div><input id='attrs-dc3fe0c6-2fce-4a0f-9f69-75a10ede9ff8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc3fe0c6-2fce-4a0f-9f69-75a10ede9ff8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e666b668-72a6-461f-b682-5130f925e2f4' class='xr-var-data-in' type='checkbox'><label for='data-e666b668-72a6-461f-b682-5130f925e2f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m s-1</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[-1.6871180e-02, -2.2537628e-02, -2.4876773e-02, ...,\n",
+       "          -5.3352290e-03, -5.3698174e-03, -5.3868666e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-1.7886596e-02, -2.3501547e-02, -2.5716608e-02, ...,\n",
+       "          -5.5510304e-03, -5.6670480e-03, -5.7420996e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-1.8883569e-02, -2.4556058e-02, -2.6759094e-02, ...,\n",
+       "          -5.4966123e-03, -5.5814814e-03, -5.5973320e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "          -2.6878783e-02, -2.6723184e-02, -2.6560239e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[-4.5115355e-02, -5.3048674e-02, -5.2460879e-02, ...,\n",
+       "          -2.5752222e-02, -2.5138177e-02, -2.4810081e-02],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0002958 0.0005635 ... nan nan</div><input id='attrs-c67488a4-6f0b-485e-8e53-90b1ea599502' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c67488a4-6f0b-485e-8e53-90b1ea599502' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-802530f0-6cb7-438a-896c-50e291d5ec5a' class='xr-var-data-in' type='checkbox'><label for='data-802530f0-6cb7-438a-896c-50e291d5ec5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00000000e+00,  2.95782025e-04,  5.63540787e-04, ...,\n",
+       "           4.08346794e-04,  4.40372387e-04,  5.08862955e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  1.39292955e-04,  2.68803560e-04, ...,\n",
+       "           4.30678105e-04,  3.89658991e-04,  3.65182961e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  4.30848741e-05,  8.13320294e-05, ...,\n",
+       "           6.11364783e-04,  5.90903859e-04,  5.19957393e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           3.31949908e-04,  4.74436121e-04,  7.91185594e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 0.00000000e+00,  3.59592028e-04,  6.83759805e-04, ...,\n",
+       "           5.99523366e-04,  4.53586021e-04,  6.19524217e-04],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.07533 0.002707 ... nan nan</div><input id='attrs-8b0b416c-0faa-4bc0-9df5-61da5e3b76e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b0b416c-0faa-4bc0-9df5-61da5e3b76e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adc1ac89-e964-43d4-be67-18a1cef07a53' class='xr-var-data-in' type='checkbox'><label for='data-adc1ac89-e964-43d4-be67-18a1cef07a53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 7.53307045e-02,  2.70666461e-03,  2.15476588e-03, ...,\n",
+       "           1.37130928e-03,  1.40075746e-03,  1.49094232e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 7.97946900e-02,  2.83365906e-03,  2.23094551e-03, ...,\n",
+       "           1.32258143e-03,  1.34466635e-03,  1.39815826e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 8.24372470e-02,  2.89949193e-03,  2.25984608e-03, ...,\n",
+       "           1.37308950e-03,  1.31893356e-03,  1.29700371e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "...\n",
+       "           2.93585868e-03,  3.02611780e-03,  3.21307569e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]],\n",
+       "\n",
+       "        [[ 2.47533903e-01,  8.04916769e-03,  6.39063865e-03, ...,\n",
+       "           3.25494842e-03,  3.28469952e-03,  3.25188995e-03],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan],\n",
+       "         [            nan,             nan,             nan, ...,\n",
+       "                      nan,             nan,             nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.02109 0.02211 0.02302 ... nan nan</div><input id='attrs-183433c0-baf5-4fe3-abd4-3578d7d48474' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-183433c0-baf5-4fe3-abd4-3578d7d48474' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ae7f1c5-49a3-425b-98e8-1f69aebc630e' class='xr-var-data-in' type='checkbox'><label for='data-3ae7f1c5-49a3-425b-98e8-1f69aebc630e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.02109147, 0.02210594, 0.0230155 , ..., 0.00205197,\n",
+       "          0.00212711, 0.00243432],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00717329, 0.00751971, 0.00783541, ..., 0.00210765,\n",
+       "          0.00206895, 0.00201906],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00162212, 0.00163538, 0.00164291, ..., 0.00237253,\n",
+       "          0.0021978 , 0.00200051],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.0121158 , 0.01144692, 0.01085408, ..., 0.01206279,\n",
+       "          0.01312798, 0.01472034],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01039871, 0.00998918, 0.0094676 , ..., 0.01247361,\n",
+       "          0.01291636, 0.01432262],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.368e+06 nan nan ... nan nan</div><input id='attrs-0b518ac6-9860-4a69-8509-e69be5d7bfcd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b518ac6-9860-4a69-8509-e69be5d7bfcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4716425d-c2f3-4b5c-a060-8aac48032f1a' class='xr-var-data-in' type='checkbox'><label for='data-4716425d-c2f3-4b5c-a060-8aac48032f1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K kg m-2</dd><dt><span>long_name :</span></dt><dd>Liquid water potential temperature path</dd></dl></div><div class='xr-var-data'><pre>array([[[3368451.2   ,          nan,          nan],\n",
+       "        [3368494.2   ,          nan,          nan],\n",
+       "        [3368427.8   ,          nan,          nan],\n",
+       "        [3368427.8   ,          nan,          nan],\n",
+       "        [3368492.    ,          nan,          nan],\n",
+       "        [3368512.8   ,          nan,          nan],\n",
+       "        [3368386.2   ,          nan,          nan],\n",
+       "        [3368517.8   ,          nan,          nan]],\n",
+       "\n",
+       "       [[3368989.8   ,          nan,          nan],\n",
+       "        [3369042.    ,          nan,          nan],\n",
+       "        [3368985.2   ,          nan,          nan],\n",
+       "        [3368985.2   ,          nan,          nan],\n",
+       "        [3369041.2   ,          nan,          nan],\n",
+       "        [3369012.    ,          nan,          nan],\n",
+       "        [3368860.8   ,          nan,          nan],\n",
+       "        [3368941.2   ,          nan,          nan]],\n",
+       "\n",
+       "       [[3369425.    ,          nan,          nan],\n",
+       "        [3369521.2   ,          nan,          nan],\n",
+       "...\n",
+       "        [         nan,          nan,          nan],\n",
+       "        [3384074.2   ,          nan,          nan]],\n",
+       "\n",
+       "       [[3383881.2   ,          nan,          nan],\n",
+       "        [3384029.2   ,          nan,          nan],\n",
+       "        [3383773.2   ,          nan,          nan],\n",
+       "        [3383773.2   ,          nan,          nan],\n",
+       "        [3383835.    ,          nan,          nan],\n",
+       "        [3383924.    ,          nan,          nan],\n",
+       "        [         nan,          nan,          nan],\n",
+       "        [3383843.8   ,          nan,          nan]],\n",
+       "\n",
+       "       [[3383808.    ,          nan,          nan],\n",
+       "        [3383709.2   ,          nan,          nan],\n",
+       "        [3383818.8   ,          nan,          nan],\n",
+       "        [3383818.8   ,          nan,          nan],\n",
+       "        [3383766.2   ,          nan,          nan],\n",
+       "        [3383831.    ,          nan,          nan],\n",
+       "        [         nan,          nan,          nan],\n",
+       "        [3383922.2   ,          nan,          nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.01687 -0.02224 ... nan nan</div><input id='attrs-3b6850e7-9d0b-4399-a383-9a32c4dc88ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b6850e7-9d0b-4399-a383-9a32c4dc88ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57b95cc7-bf87-41be-9d8b-b82e240ab0b8' class='xr-var-data-in' type='checkbox'><label for='data-57b95cc7-bf87-41be-9d8b-b82e240ab0b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m s-1</dd><dt><span>long_name :</span></dt><dd>Total flux of the Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[-0.01687118, -0.02224185, -0.02431323, ..., -0.00492688,\n",
+       "          -0.00492944, -0.004878  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.0178866 , -0.02336225, -0.0254478 , ..., -0.00512035,\n",
+       "          -0.00527739, -0.00537692],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.01888357, -0.02451297, -0.02667776, ..., -0.00488525,\n",
+       "          -0.00499058, -0.00507737],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[-0.04489011, -0.05259382, -0.05170287, ..., -0.02654684,\n",
+       "          -0.02624875, -0.02576905],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.04511536, -0.05268908, -0.05177712, ..., -0.0251527 ,\n",
+       "          -0.02468459, -0.02419056],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nr_bot</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-9004f0f9-b3ea-4c5d-9e8f-e99dbda911c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9004f0f9-b3ea-4c5d-9e8f-e99dbda911c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9e40f0e-e68e-42f9-b236-d89287838a95' class='xr-var-data-in' type='checkbox'><label for='data-c9e40f0e-e68e-42f9-b236-d89287838a95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m-3</dd><dt><span>long_name :</span></dt><dd>Surface Number density rain</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "...\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0.,  0.,  0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_bot</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-846ec051-6a22-441c-b2a9-44f90695a0c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-846ec051-6a22-441c-b2a9-44f90695a0c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1d502bc-19aa-4f0a-adef-17cc2be9d3cb' class='xr-var-data-in' type='checkbox'><label for='data-d1d502bc-19aa-4f0a-adef-17cc2be9d3cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Surface Rain water specific humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "...\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0.,  0.,  0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_bot</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01379 0.01379 ... 0.01347 0.01347</div><input id='attrs-2e3b4f24-a6c5-4f13-af97-86d73b8963b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e3b4f24-a6c5-4f13-af97-86d73b8963b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eceebebe-cf5d-4819-bd0b-6bee17722e67' class='xr-var-data-in' type='checkbox'><label for='data-eceebebe-cf5d-4819-bd0b-6bee17722e67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Surface Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([[[0.01378956, 0.01378956, 0.01378956],\n",
+       "        [0.01374463, 0.01374463, 0.01374463],\n",
+       "        [0.01369569, 0.01369569, 0.01369569],\n",
+       "        [0.01369569, 0.01369569, 0.01369569],\n",
+       "        [0.01372141, 0.01372141, 0.01372141],\n",
+       "        [0.01373716, 0.01373716, 0.01373716],\n",
+       "        [0.01372998, 0.01372998, 0.01372998],\n",
+       "        [0.01372085, 0.01372085, 0.01372085]],\n",
+       "\n",
+       "       [[0.01435342, 0.01435342, 0.01435342],\n",
+       "        [0.01431251, 0.01431251, 0.01431251],\n",
+       "        [0.01424903, 0.01424903, 0.01424903],\n",
+       "        [0.01424903, 0.01424903, 0.01424903],\n",
+       "        [0.01428383, 0.01428383, 0.01428383],\n",
+       "        [0.01429186, 0.01429186, 0.01429186],\n",
+       "        [0.01427338, 0.01427338, 0.01427338],\n",
+       "        [0.01426818, 0.01426818, 0.01426818]],\n",
+       "\n",
+       "       [[0.01495252, 0.01495252, 0.01495252],\n",
+       "        [0.01490177, 0.01490177, 0.01490177],\n",
+       "...\n",
+       "        [       nan,        nan,        nan],\n",
+       "        [0.01363285, 0.01363285, 0.01363285]],\n",
+       "\n",
+       "       [[0.01343158, 0.01343158, 0.01343158],\n",
+       "        [0.01349973, 0.01349973, 0.01349973],\n",
+       "        [0.01348393, 0.01348393, 0.01348393],\n",
+       "        [0.01348393, 0.01348393, 0.01348393],\n",
+       "        [0.01346918, 0.01346918, 0.01346918],\n",
+       "        [0.01347318, 0.01347318, 0.01347318],\n",
+       "        [       nan,        nan,        nan],\n",
+       "        [0.01347779, 0.01347779, 0.01347779]],\n",
+       "\n",
+       "       [[0.0134158 , 0.0134158 , 0.0134158 ],\n",
+       "        [0.01348866, 0.01348866, 0.01348866],\n",
+       "        [0.01347347, 0.01347347, 0.01347347],\n",
+       "        [0.01347347, 0.01347347, 0.01347347],\n",
+       "        [0.0134562 , 0.0134562 , 0.0134562 ],\n",
+       "        [0.01345891, 0.01345891, 0.01345891],\n",
+       "        [       nan,        nan,        nan],\n",
+       "        [0.01346543, 0.01346543, 0.01346543]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thl_bot</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>301.1 301.1 301.1 ... 303.0 303.0</div><input id='attrs-ddb0ceaa-64c9-4277-ac85-c3c6ac7f4e32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddb0ceaa-64c9-4277-ac85-c3c6ac7f4e32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-368f8f05-3a72-46c4-97ec-7afad926eb72' class='xr-var-data-in' type='checkbox'><label for='data-368f8f05-3a72-46c4-97ec-7afad926eb72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Surface Liquid water potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[301.1449 , 301.1449 , 301.1449 ],\n",
+       "        [301.1706 , 301.1706 , 301.1706 ],\n",
+       "        [301.17566, 301.17566, 301.17566],\n",
+       "        [301.17566, 301.17566, 301.17566],\n",
+       "        [301.17178, 301.17178, 301.17178],\n",
+       "        [301.1533 , 301.1533 , 301.1533 ],\n",
+       "        [301.14688, 301.14688, 301.14688],\n",
+       "        [301.15213, 301.15213, 301.15213]],\n",
+       "\n",
+       "       [[302.35922, 302.35922, 302.35922],\n",
+       "        [302.3748 , 302.3748 , 302.3748 ],\n",
+       "        [302.37445, 302.37445, 302.37445],\n",
+       "        [302.37445, 302.37445, 302.37445],\n",
+       "        [302.3777 , 302.3777 , 302.3777 ],\n",
+       "        [302.3667 , 302.3667 , 302.3667 ],\n",
+       "        [302.36362, 302.36362, 302.36362],\n",
+       "        [302.36658, 302.36658, 302.36658]],\n",
+       "\n",
+       "       [[303.74527, 303.74527, 303.74527],\n",
+       "        [303.72552, 303.72552, 303.72552],\n",
+       "...\n",
+       "        [      nan,       nan,       nan],\n",
+       "        [303.70557, 303.70557, 303.70557]],\n",
+       "\n",
+       "       [[303.35815, 303.35815, 303.35815],\n",
+       "        [303.3218 , 303.3218 , 303.3218 ],\n",
+       "        [303.28793, 303.28793, 303.28793],\n",
+       "        [303.28793, 303.28793, 303.28793],\n",
+       "        [303.34378, 303.34378, 303.34378],\n",
+       "        [303.30133, 303.30133, 303.30133],\n",
+       "        [      nan,       nan,       nan],\n",
+       "        [303.29636, 303.29636, 303.29636]],\n",
+       "\n",
+       "       [[303.04904, 303.04904, 303.04904],\n",
+       "        [303.00464, 303.00464, 303.00464],\n",
+       "        [302.97113, 302.97113, 302.97113],\n",
+       "        [302.97113, 302.97113, 302.97113],\n",
+       "        [303.02817, 303.02817, 303.02817],\n",
+       "        [302.99704, 302.99704, 302.99704],\n",
+       "        [      nan,       nan,       nan],\n",
+       "        [302.98862, 302.98862, 302.98862]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhoref</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.099 1.098 1.097 ... 0.7671 0.7642</div><input id='attrs-b2709ac5-9307-485f-bfcd-c269bee2bb7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2709ac5-9307-485f-bfcd-c269bee2bb7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d7201b5-daba-455a-910d-c7c9957c63ef' class='xr-var-data-in' type='checkbox'><label for='data-6d7201b5-daba-455a-910d-c7c9957c63ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>Full level basic state density</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521]],\n",
+       "\n",
+       "        [[1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521]],\n",
+       "\n",
+       "        [[1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521]],\n",
+       "...\n",
+       "        [[1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521]],\n",
+       "\n",
+       "        [[1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521]],\n",
+       "\n",
+       "        [[1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521],\n",
+       "         [1.0990218, 1.0980556, 1.0970019, ..., 0.7700085, 0.7670752,\n",
+       "          0.7641521]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhorefh</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.1 1.099 1.098 ... 0.7656 0.7627</div><input id='attrs-754fd84c-8d25-4fe5-a11f-80c302848e10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-754fd84c-8d25-4fe5-a11f-80c302848e10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ce5319e-37cd-44cc-9f65-489b67efecb1' class='xr-var-data-in' type='checkbox'><label for='data-2ce5319e-37cd-44cc-9f65-489b67efecb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>Half level basic state density</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ]],\n",
+       "\n",
+       "        [[1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ]],\n",
+       "\n",
+       "        [[1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ]],\n",
+       "...\n",
+       "        [[1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ]],\n",
+       "\n",
+       "        [[1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ]],\n",
+       "\n",
+       "        [[1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ],\n",
+       "         [1.0999006 , 1.0985384 , 1.0975285 , ..., 0.7685406 ,\n",
+       "          0.76561254, 0.7627004 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thvref</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>308.7 308.7 308.7 ... 317.2 317.3</div><input id='attrs-8cebd5b5-dc7c-4d69-9492-19ecda73969d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8cebd5b5-dc7c-4d69-9492-19ecda73969d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f48feefc-9106-4ca4-a36b-dd2f5d609ea2' class='xr-var-data-in' type='checkbox'><label for='data-f48feefc-9106-4ca4-a36b-dd2f5d609ea2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Full level basic state virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ]],\n",
+       "...\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.12262, 317.20667,\n",
+       "          317.2898 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thvrefh</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>308.7 308.7 308.7 ... 317.2 317.3</div><input id='attrs-290f4761-5c8d-4212-936d-0987fe9e8acf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-290f4761-5c8d-4212-936d-0987fe9e8acf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b061b4d-9816-42a1-9602-c37738f6486f' class='xr-var-data-in' type='checkbox'><label for='data-7b061b4d-9816-42a1-9602-c37738f6486f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Half level basic state virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ]],\n",
+       "...\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ]],\n",
+       "\n",
+       "        [[308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ],\n",
+       "         [308.6595 , 308.6595 , 308.6595 , ..., 317.16467, 317.24823,\n",
+       "          317.3285 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phydro</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.657e+04 9.645e+04 ... 6.045e+04</div><input id='attrs-e4a13336-c244-4898-8f50-eb6e80aec173' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4a13336-c244-4898-8f50-eb6e80aec173' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01b952c4-9b1a-4f84-8d1e-6f5927d724a2' class='xr-var-data-in' type='checkbox'><label for='data-01b952c4-9b1a-4f84-8d1e-6f5927d724a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>long_name :</span></dt><dd>Full level hydrostatic pressure</dd></dl></div><div class='xr-var-data'><pre>array([[[[96566.07 , 96445.625, 96314.35 , ..., 60917.598, 60614.652,\n",
+       "          60312.83 ],\n",
+       "         [96566.07 , 96445.625, 96314.35 , ..., 60917.598, 60614.652,\n",
+       "          60312.83 ],\n",
+       "         [96566.07 , 96445.625, 96314.35 , ..., 60917.598, 60614.652,\n",
+       "          60312.83 ]],\n",
+       "\n",
+       "        [[96566.09 , 96445.66 , 96314.414, ..., 60917.777, 60614.832,\n",
+       "          60313.02 ],\n",
+       "         [96566.09 , 96445.66 , 96314.414, ..., 60917.777, 60614.832,\n",
+       "          60313.02 ],\n",
+       "         [96566.09 , 96445.66 , 96314.414, ..., 60917.777, 60614.832,\n",
+       "          60313.02 ]],\n",
+       "\n",
+       "        [[96566.09 , 96445.664, 96314.44 , ..., 60916.824, 60613.887,\n",
+       "          60312.066],\n",
+       "         [96566.09 , 96445.664, 96314.44 , ..., 60916.824, 60613.887,\n",
+       "          60312.066],\n",
+       "         [96566.09 , 96445.664, 96314.44 , ..., 60916.824, 60613.887,\n",
+       "          60312.066]],\n",
+       "...\n",
+       "        [[96546.22 , 96427.24 , 96297.6  , ..., 61050.344, 60748.02 ,\n",
+       "          60446.863],\n",
+       "         [96546.22 , 96427.24 , 96297.6  , ..., 61050.344, 60748.02 ,\n",
+       "          60446.863],\n",
+       "         [96546.22 , 96427.24 , 96297.6  , ..., 61050.344, 60748.02 ,\n",
+       "          60446.863]],\n",
+       "\n",
+       "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[96546.21 , 96427.22 , 96297.56 , ..., 61049.152, 60746.816,\n",
+       "          60445.676],\n",
+       "         [96546.21 , 96427.22 , 96297.56 , ..., 61049.152, 60746.816,\n",
+       "          60445.676],\n",
+       "         [96546.21 , 96427.22 , 96297.56 , ..., 61049.152, 60746.816,\n",
+       "          60445.676]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phydroh</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.668e+04 9.651e+04 ... 6.03e+04</div><input id='attrs-2a07d45b-dd5d-442f-8976-7b888261fb11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a07d45b-dd5d-442f-8976-7b888261fb11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d2588b1-128d-46be-9501-40db761b41d2' class='xr-var-data-in' type='checkbox'><label for='data-3d2588b1-128d-46be-9501-40db761b41d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa</dd><dt><span>long_name :</span></dt><dd>Half level hydrostatic pressure</dd></dl></div><div class='xr-var-data'><pre>array([[[[96675.9  , 96506.03 , 96380.164, ..., 60766.13 , 60463.75 ,\n",
+       "          60162.484],\n",
+       "         [96675.9  , 96506.03 , 96380.164, ..., 60766.13 , 60463.75 ,\n",
+       "          60162.484],\n",
+       "         [96675.9  , 96506.03 , 96380.164, ..., 60766.13 , 60463.75 ,\n",
+       "          60162.484]],\n",
+       "\n",
+       "        [[96675.9  , 96506.06 , 96380.23 , ..., 60766.3  , 60463.934,\n",
+       "          60162.676],\n",
+       "         [96675.9  , 96506.06 , 96380.23 , ..., 60766.3  , 60463.934,\n",
+       "          60162.676],\n",
+       "         [96675.9  , 96506.06 , 96380.23 , ..., 60766.3  , 60463.934,\n",
+       "          60162.676]],\n",
+       "\n",
+       "        [[96675.9  , 96506.086, 96380.25 , ..., 60765.375, 60462.996,\n",
+       "          60161.746],\n",
+       "         [96675.9  , 96506.086, 96380.25 , ..., 60765.375, 60462.996,\n",
+       "          60161.746],\n",
+       "         [96675.9  , 96506.086, 96380.25 , ..., 60765.375, 60462.996,\n",
+       "          60161.746]],\n",
+       "...\n",
+       "        [[96655.35 , 96487.555, 96363.24 , ..., 60899.52 , 60597.777,\n",
+       "          60297.207],\n",
+       "         [96655.35 , 96487.555, 96363.24 , ..., 60899.52 , 60597.777,\n",
+       "          60297.207],\n",
+       "         [96655.35 , 96487.555, 96363.24 , ..., 60899.52 , 60597.777,\n",
+       "          60297.207]],\n",
+       "\n",
+       "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[96655.35 , 96487.54 , 96363.21 , ..., 60898.332, 60596.594,\n",
+       "          60296.03 ],\n",
+       "         [96655.35 , 96487.54 , 96363.21 , ..., 60898.332, 60596.594,\n",
+       "          60296.03 ],\n",
+       "         [96655.35 , 96487.54 , 96363.21 , ..., 60898.332, 60596.594,\n",
+       "          60296.03 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.117 1.116 1.115 ... 0.769 0.7659</div><input id='attrs-563c9b06-749e-439f-bbb6-40afd9e2ae9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-563c9b06-749e-439f-bbb6-40afd9e2ae9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48d7a8db-e909-4941-b5bc-1b15ba4eb235' class='xr-var-data-in' type='checkbox'><label for='data-48d7a8db-e909-4941-b5bc-1b15ba4eb235' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>Full level density</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.1167909 , 1.1157075 , 1.114544  , ..., 0.7734673 ,\n",
+       "          0.77059954, 0.7677355 ],\n",
+       "         [1.1167909 , 1.1157075 , 1.114544  , ..., 0.7734673 ,\n",
+       "          0.77059954, 0.7677355 ],\n",
+       "         [1.1167909 , 1.1157075 , 1.114544  , ..., 0.7734673 ,\n",
+       "          0.77059954, 0.7677355 ]],\n",
+       "\n",
+       "        [[1.1165718 , 1.1154839 , 1.1143175 , ..., 0.7734456 ,\n",
+       "          0.7705819 , 0.7677228 ],\n",
+       "         [1.1165718 , 1.1154839 , 1.1143175 , ..., 0.7734456 ,\n",
+       "          0.7705819 , 0.7677228 ],\n",
+       "         [1.1165718 , 1.1154839 , 1.1143175 , ..., 0.7734456 ,\n",
+       "          0.7705819 , 0.7677228 ]],\n",
+       "\n",
+       "        [[1.1164823 , 1.1153917 , 1.1142241 , ..., 0.7734502 ,\n",
+       "          0.7705824 , 0.76772565],\n",
+       "         [1.1164823 , 1.1153917 , 1.1142241 , ..., 0.7734502 ,\n",
+       "          0.7705824 , 0.76772565],\n",
+       "         [1.1164823 , 1.1153917 , 1.1142241 , ..., 0.7734502 ,\n",
+       "          0.7705824 , 0.76772565]],\n",
+       "...\n",
+       "        [[1.1032239 , 1.101935  , 1.1006032 , ..., 0.7719539 ,\n",
+       "          0.76896197, 0.76597005],\n",
+       "         [1.1032239 , 1.101935  , 1.1006032 , ..., 0.7719539 ,\n",
+       "          0.76896197, 0.76597005],\n",
+       "         [1.1032239 , 1.101935  , 1.1006032 , ..., 0.7719539 ,\n",
+       "          0.76896197, 0.76597005]],\n",
+       "\n",
+       "        [[       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[1.103337  , 1.1020517 , 1.1007217 , ..., 0.7719779 ,\n",
+       "          0.76895803, 0.7659435 ],\n",
+       "         [1.103337  , 1.1020517 , 1.1007217 , ..., 0.7719779 ,\n",
+       "          0.76895803, 0.7659435 ],\n",
+       "         [1.103337  , 1.1020517 , 1.1007217 , ..., 0.7719779 ,\n",
+       "          0.76895803, 0.7659435 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhoh</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.12 1.116 1.115 ... 0.7675 0.7644</div><input id='attrs-62400bb6-f6a4-474b-afe9-70a6d36ecd7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62400bb6-f6a4-474b-afe9-70a6d36ecd7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f56d4a47-d35e-4887-a35e-093fc344e4e8' class='xr-var-data-in' type='checkbox'><label for='data-f56d4a47-d35e-4887-a35e-093fc344e4e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>Half level density</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.1200031 , 1.1162508 , 1.1151272 , ..., 0.77203375,\n",
+       "          0.7691679 , 0.76630306],\n",
+       "         [1.1200031 , 1.1162508 , 1.1151272 , ..., 0.77203375,\n",
+       "          0.7691679 , 0.76630306],\n",
+       "         [1.1200031 , 1.1162508 , 1.1151272 , ..., 0.77203375,\n",
+       "          0.7691679 , 0.76630306]],\n",
+       "\n",
+       "        [[1.1199381 , 1.1160295 , 1.1149024 , ..., 0.77201414,\n",
+       "          0.7691527 , 0.7662943 ],\n",
+       "         [1.1199381 , 1.1160295 , 1.1149024 , ..., 0.77201414,\n",
+       "          0.7691527 , 0.7662943 ],\n",
+       "         [1.1199381 , 1.1160295 , 1.1149024 , ..., 0.77201414,\n",
+       "          0.7691527 , 0.7662943 ]],\n",
+       "\n",
+       "        [[1.1199505 , 1.1159387 , 1.1148096 , ..., 0.7720168 ,\n",
+       "          0.76915455, 0.7663018 ],\n",
+       "         [1.1199505 , 1.1159387 , 1.1148096 , ..., 0.7720168 ,\n",
+       "          0.76915455, 0.7663018 ],\n",
+       "         [1.1199505 , 1.1159387 , 1.1148096 , ..., 0.7720168 ,\n",
+       "          0.76915455, 0.7663018 ]],\n",
+       "...\n",
+       "        [[1.1130743 , 1.1025862 , 1.1012758 , ..., 0.77046126,\n",
+       "          0.76746935, 0.76447296],\n",
+       "         [1.1130743 , 1.1025862 , 1.1012758 , ..., 0.77046126,\n",
+       "          0.76746935, 0.76447296],\n",
+       "         [1.1130743 , 1.1025862 , 1.1012758 , ..., 0.77046126,\n",
+       "          0.76746935, 0.76447296]],\n",
+       "\n",
+       "        [[       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[1.113101  , 1.102701  , 1.1013933 , ..., 0.7704713 ,\n",
+       "          0.76745415, 0.7644451 ],\n",
+       "         [1.113101  , 1.102701  , 1.1013933 , ..., 0.7704713 ,\n",
+       "          0.76745415, 0.7644451 ],\n",
+       "         [1.113101  , 1.102701  , 1.1013933 , ..., 0.7704713 ,\n",
+       "          0.76745415, 0.7644451 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thv</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>304.3 304.3 304.3 ... nan nan nan</div><input id='attrs-1fcc381d-b406-41f1-a05a-d9607ec5291f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fcc381d-b406-41f1-a05a-d9607ec5291f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4f3a8c5-d509-4d17-b6e9-12cd61b4fc14' class='xr-var-data-in' type='checkbox'><label for='data-a4f3a8c5-d509-4d17-b6e9-12cd61b4fc14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[304.2598 , 304.28384, 304.3052 , ..., 316.11017, 316.15854,\n",
+       "          316.20834],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[304.31955, 304.3449 , 304.36722, ..., 316.1197 , 316.16644,\n",
+       "          316.21426],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[304.34396, 304.3701 , 304.39276, ..., 316.11426, 316.16272,\n",
+       "          316.20956],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[307.95627, 308.04495, 308.12143, ..., 317.22275, 317.32962,\n",
+       "          317.4401 ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[307.92462, 308.0123 , 308.08817, ..., 317.20847, 317.32678,\n",
+       "          317.44662],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thv_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.01266 -0.01823 ... nan nan</div><input id='attrs-6be425f6-ae87-46d6-a9d6-c8063cad18fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6be425f6-ae87-46d6-a9d6-c8063cad18fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f2c864e-e7f1-44d5-a322-ffe282e09794' class='xr-var-data-in' type='checkbox'><label for='data-0f2c864e-e7f1-44d5-a322-ffe282e09794' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m s-1</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the Virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[-0.01266166, -0.01822587, -0.02060974, ..., -0.00470547,\n",
+       "          -0.00476744, -0.00481864],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.01363593, -0.0191509 , -0.02141886, ..., -0.00490513,\n",
+       "          -0.00503932, -0.00514163],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.01460437, -0.02015915, -0.02240271, ..., -0.00484676,\n",
+       "          -0.00495431, -0.00500586],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[-0.04450354, -0.05244974, -0.0518119 , ..., -0.02445727,\n",
+       "          -0.02439992, -0.02433401],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.04473199, -0.05255364, -0.05191881, ..., -0.02340343,\n",
+       "          -0.0229278 , -0.02270985],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thv_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0002653 0.0005017 ... nan nan</div><input id='attrs-a6dbd372-8f82-4f51-bf37-ee3cab6902fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6dbd372-8f82-4f51-bf37-ee3cab6902fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baa3c4f6-d1c0-49f4-ab65-533f7271a8bb' class='xr-var-data-in' type='checkbox'><label for='data-baa3c4f6-d1c0-49f4-ab65-533f7271a8bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.0000000e+00,  2.6532100e-04,  5.0172850e-04, ...,\n",
+       "           3.6051343e-04,  3.9098645e-04,  4.5450762e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 0.0000000e+00,  1.2350435e-04,  2.3591476e-04, ...,\n",
+       "           3.8650425e-04,  3.5039542e-04,  3.2887291e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 0.0000000e+00,  3.9456529e-05,  7.3007592e-05, ...,\n",
+       "           5.4332259e-04,  5.2961096e-04,  4.7254600e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "           2.9908062e-04,  4.2867320e-04,  7.1788952e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 0.0000000e+00,  3.2875236e-04,  6.2808598e-04, ...,\n",
+       "           5.4240174e-04,  4.1473648e-04,  5.7072745e-04],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thv_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.05913 0.002185 ... nan nan</div><input id='attrs-84b6ccfe-c0dc-4657-bc7b-7d1070e87e94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84b6ccfe-c0dc-4657-bc7b-7d1070e87e94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eed1b9a1-b2e3-465e-adc4-778350b827e7' class='xr-var-data-in' type='checkbox'><label for='data-eed1b9a1-b2e3-465e-adc4-778350b827e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the Virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 5.9131678e-02,  2.1846897e-03,  1.7845514e-03, ...,\n",
+       "           1.2097259e-03,  1.2444091e-03,  1.3348531e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 6.3342802e-02,  2.3052201e-03,  1.8573670e-03, ...,\n",
+       "           1.1685865e-03,  1.1960714e-03,  1.2529133e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 6.6170953e-02,  2.3758756e-03,  1.8900806e-03, ...,\n",
+       "           1.2112254e-03,  1.1712750e-03,  1.1606993e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "...\n",
+       "           2.6710581e-03,  2.7628576e-03,  2.9437726e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[ 2.4566364e-01,  7.9727611e-03,  6.3228137e-03, ...,\n",
+       "           2.9578058e-03,  2.9957118e-03,  2.9765144e-03],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thv_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01709 0.01786 0.01854 ... nan nan</div><input id='attrs-7e0ea336-acc4-439e-b9bc-ac2700a0c203' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e0ea336-acc4-439e-b9bc-ac2700a0c203' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41dde38c-0d7b-40a6-b90e-65c13713c036' class='xr-var-data-in' type='checkbox'><label for='data-41dde38c-0d7b-40a6-b90e-65c13713c036' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.01709154, 0.01785871, 0.01854122, ..., 0.00159176,\n",
+       "          0.00167007, 0.00193939],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00581397, 0.00605531, 0.00627067, ..., 0.00164499,\n",
+       "          0.00163403, 0.00161434],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00130853, 0.00132475, 0.00133275, ..., 0.00183297,\n",
+       "          0.00172056, 0.00158957],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.01127811, 0.01060609, 0.01000253, ..., 0.00995218,\n",
+       "          0.01091951, 0.0123275 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00978331, 0.00934559, 0.00879309, ..., 0.01025839,\n",
+       "          0.01070793, 0.01196146],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thv_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.01266 -0.01796 ... nan nan</div><input id='attrs-8141901c-e149-44eb-b853-f15e7b859252' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8141901c-e149-44eb-b853-f15e7b859252' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5919f5df-adec-45f9-8823-133fb8f604ca' class='xr-var-data-in' type='checkbox'><label for='data-5919f5df-adec-45f9-8823-133fb8f604ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K m s-1</dd><dt><span>long_name :</span></dt><dd>Total flux of the Virtual potential temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[-0.01266166, -0.01796055, -0.02010801, ..., -0.00434496,\n",
+       "          -0.00437645, -0.00436413],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.01363593, -0.0190274 , -0.02118294, ..., -0.00451862,\n",
+       "          -0.00468892, -0.00481276],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.01460437, -0.02011969, -0.0223297 , ..., -0.00430344,\n",
+       "          -0.00442469, -0.00453331],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[-0.04450354, -0.05212678, -0.05121532, ..., -0.02415819,\n",
+       "          -0.02397125, -0.02361612],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[-0.04473199, -0.05222489, -0.05129072, ..., -0.02286103,\n",
+       "          -0.02251306, -0.02213912],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>298.9 298.8 298.7 ... nan nan nan</div><input id='attrs-4473f577-a71d-4734-a8a3-b5b5cc54fb7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4473f577-a71d-4734-a8a3-b5b5cc54fb7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da70059c-e005-49ce-9ebe-aba2cc4d8989' class='xr-var-data-in' type='checkbox'><label for='data-da70059c-e005-49ce-9ebe-aba2cc4d8989' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Absolute temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[298.90024, 298.8232 , 298.73257, ..., 273.807  , 273.46497,\n",
+       "          273.12387],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[298.96994, 298.8942 , 298.80447, ..., 273.81577, 273.47202,\n",
+       "          273.129  ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[299.00107, 298.92612, 298.8367 , ..., 273.81018, 273.46817,\n",
+       "          273.12424],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[302.44568, 302.42783, 302.38806, ..., 275.0787 , 274.7908 ,\n",
+       "          274.50586],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[302.4128 , 302.3939 , 302.3536 , ..., 275.0618 , 274.78497,\n",
+       "          274.509  ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T_2</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.02067 0.02165 0.02253 ... nan nan</div><input id='attrs-651228ce-c90b-4b0d-b7e6-356a3f56c85c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-651228ce-c90b-4b0d-b7e6-356a3f56c85c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c16f406-578a-46fa-9144-00230907c555' class='xr-var-data-in' type='checkbox'><label for='data-1c16f406-578a-46fa-9144-00230907c555' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K2</dd><dt><span>long_name :</span></dt><dd>Moment 2 of the Absolute temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.0206748 , 0.02165378, 0.0225272 , ..., 0.001546  ,\n",
+       "          0.00159805, 0.00182364],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00703154, 0.00736588, 0.00766915, ..., 0.00158796,\n",
+       "          0.00155439, 0.00151258],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.00159006, 0.00160192, 0.00160804, ..., 0.00178752,\n",
+       "          0.00165116, 0.00149866],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.01187499, 0.01121152, 0.0106227 , ..., 0.00909968,\n",
+       "          0.00987519, 0.01104161],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.01019207, 0.00978379, 0.0092658 , ..., 0.00940949,\n",
+       "          0.00971589, 0.01074316],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-401815bf-af0c-45f5-95ec-70714fea161c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-401815bf-af0c-45f5-95ec-70714fea161c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3da0cd70-33e4-4ce3-9817-5b5960984d07' class='xr-var-data-in' type='checkbox'><label for='data-3da0cd70-33e4-4ce3-9817-5b5960984d07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Liquid water</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql_diff</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-3289a889-e879-43bc-97ba-c0d2fd4f0bb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3289a889-e879-43bc-97ba-c0d2fd4f0bb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7aaa76b-4601-4e32-8f8d-c27f47d4da57' class='xr-var-data-in' type='checkbox'><label for='data-e7aaa76b-4601-4e32-8f8d-c27f47d4da57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the Liquid water</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql_w</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-2444fd4f-4509-40fb-860d-29eb4df7d72c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2444fd4f-4509-40fb-860d-29eb4df7d72c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4e4499e-ed6d-4fdb-8510-096090045537' class='xr-var-data-in' type='checkbox'><label for='data-f4e4499e-ed6d-4fdb-8510-096090045537' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Liquid water</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql_frac</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-1ae1494f-4c9e-4fad-b8f9-fb1e00f99985' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ae1494f-4c9e-4fad-b8f9-fb1e00f99985' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cea582a-c1d9-4c1a-ad64-de2dc4ed5033' class='xr-var-data-in' type='checkbox'><label for='data-2cea582a-c1d9-4c1a-ad64-de2dc4ed5033' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Liquid water fraction</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql_grad</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-53a8f9ea-8ad7-4b57-a5a6-8fefb076f9fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53a8f9ea-8ad7-4b57-a5a6-8fefb076f9fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33e9bae8-cb5c-42c7-a1c4-5b352289b9c9' class='xr-var-data-in' type='checkbox'><label for='data-33e9bae8-cb5c-42c7-a1c4-5b352289b9c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m-1</dd><dt><span>long_name :</span></dt><dd>Gradient of the Liquid water</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql_cover</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-58bcf0d2-5db8-42a7-844c-bf03f2e5f137' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58bcf0d2-5db8-42a7-844c-bf03f2e5f137' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5505e57a-f8c6-4b2b-8c83-e81a470c27fa' class='xr-var-data-in' type='checkbox'><label for='data-5505e57a-f8c6-4b2b-8c83-e81a470c27fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Liquid water cover</dd></dl></div><div class='xr-var-data'><pre>array([[[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "...\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 nan nan 0.0 ... nan 0.0 nan nan</div><input id='attrs-d033a8f3-2b95-44ac-9ec3-6fb808d559d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d033a8f3-2b95-44ac-9ec3-6fb808d559d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30588cee-9dbb-4451-a97a-0897ef5eddbf' class='xr-var-data-in' type='checkbox'><label for='data-30588cee-9dbb-4451-a97a-0897ef5eddbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>long_name :</span></dt><dd>Liquid water path</dd></dl></div><div class='xr-var-data'><pre>array([[[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "...\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ql_flux</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-4253b91f-17d5-42ef-944d-f31c29db6090' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4253b91f-17d5-42ef-944d-f31c29db6090' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-479721b4-c1cd-487a-96b0-af89b171f8d4' class='xr-var-data-in' type='checkbox'><label for='data-479721b4-c1cd-487a-96b0-af89b171f8d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Total flux of the Liquid water</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qi</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-ddc0a10a-ffdf-4b0a-97e4-f203f51daf93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddc0a10a-ffdf-4b0a-97e4-f203f51daf93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfb04a83-b128-4c4d-86ab-08e68861a879' class='xr-var-data-in' type='checkbox'><label for='data-cfb04a83-b128-4c4d-86ab-08e68861a879' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Ice</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qi_frac</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-7cdceab7-97b7-49b6-bc2f-c82761277984' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cdceab7-97b7-49b6-bc2f-c82761277984' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d3f0694-1660-4b84-831b-b4a55a1ed078' class='xr-var-data-in' type='checkbox'><label for='data-9d3f0694-1660-4b84-831b-b4a55a1ed078' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Ice fraction</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qi_cover</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-d8ddf7b4-f993-433f-a41e-e40f1534e14b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8ddf7b4-f993-433f-a41e-e40f1534e14b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69df550c-720e-4425-b8f9-5144aff7128e' class='xr-var-data-in' type='checkbox'><label for='data-69df550c-720e-4425-b8f9-5144aff7128e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Ice cover</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "...\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0.,  0.,  0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qi_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 nan nan 0.0 ... nan 0.0 nan nan</div><input id='attrs-18dfbde7-d2cf-4b86-bf53-e5787f50c14b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18dfbde7-d2cf-4b86-bf53-e5787f50c14b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9859db0f-8c8c-4b6a-822d-5a290fb266e2' class='xr-var-data-in' type='checkbox'><label for='data-9859db0f-8c8c-4b6a-822d-5a290fb266e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>long_name :</span></dt><dd>Ice path</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan]],\n",
+       "\n",
+       "       [[ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan]],\n",
+       "\n",
+       "       [[ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "...\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0., nan, nan]],\n",
+       "\n",
+       "       [[ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0., nan, nan]],\n",
+       "\n",
+       "       [[ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [ 0., nan, nan],\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0., nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qlqi</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-9db0374a-dae1-4cd4-9c75-cb4fad7f85eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9db0374a-dae1-4cd4-9c75-cb4fad7f85eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1236d55e-4a57-4836-863b-5d9830ef89df' class='xr-var-data-in' type='checkbox'><label for='data-1236d55e-4a57-4836-863b-5d9830ef89df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Liquid water and ice</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qlqi_frac</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-8a1fabdc-39ea-419d-b313-b7f59724f989' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a1fabdc-39ea-419d-b313-b7f59724f989' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dba9d707-9330-4cf4-b44d-33c45e6f332e' class='xr-var-data-in' type='checkbox'><label for='data-dba9d707-9330-4cf4-b44d-33c45e6f332e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Liquid water and ice fraction</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qlqi_cover</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-e4b20e71-d8d1-473d-9552-4bae0b5a90db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4b20e71-d8d1-473d-9552-4bae0b5a90db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8be7ae8-557c-44fd-b32e-20025c3e2f10' class='xr-var-data-in' type='checkbox'><label for='data-c8be7ae8-557c-44fd-b32e-20025c3e2f10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Liquid water and ice cover</dd></dl></div><div class='xr-var-data'><pre>array([[[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "...\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]],\n",
+       "\n",
+       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qlqi_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 nan nan 0.0 ... nan 0.0 nan nan</div><input id='attrs-64104fe5-2190-41bf-a809-dc7c3f596e18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64104fe5-2190-41bf-a809-dc7c3f596e18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc14ca7c-49d1-4687-8518-2ba637a52667' class='xr-var-data-in' type='checkbox'><label for='data-bc14ca7c-49d1-4687-8518-2ba637a52667' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>long_name :</span></dt><dd>Liquid water and ice path</dd></dl></div><div class='xr-var-data'><pre>array([[[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "...\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]],\n",
+       "\n",
+       "       [[0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [0.00000000e+00,            nan,            nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qsat</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.02161 0.02154 0.02145 ... nan nan</div><input id='attrs-33a15cb4-bb0e-4456-9770-4b6961b2df35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33a15cb4-bb0e-4456-9770-4b6961b2df35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc9b2223-8a55-4e38-8ac5-8ea9800bcbd9' class='xr-var-data-in' type='checkbox'><label for='data-dc9b2223-8a55-4e38-8ac5-8ea9800bcbd9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Saturated water vapor</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.02161005, 0.02153743, 0.02144999, ..., 0.00657082,\n",
+       "          0.00644176, 0.00631528],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.02170012, 0.02162902, 0.02154239, ..., 0.00657497,\n",
+       "          0.00644505, 0.00631761],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.02174058, 0.02167029, 0.02158395, ..., 0.00657241,\n",
+       "          0.00644335, 0.00631553],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.02667759, 0.02668304, 0.02665732, ..., 0.00718671,\n",
+       "          0.00707472, 0.00696567],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.02662607, 0.02662994, 0.02660333, ..., 0.00717813,\n",
+       "          0.00707188, 0.00696737],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qsat_path</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>62.67 nan nan ... 70.2 nan nan</div><input id='attrs-33b2fbc4-0f30-4ad7-a4d4-3380f9574dc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33b2fbc4-0f30-4ad7-a4d4-3380f9574dc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ccc8df7-60ef-4a6d-85d1-9de7429a980a' class='xr-var-data-in' type='checkbox'><label for='data-2ccc8df7-60ef-4a6d-85d1-9de7429a980a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>long_name :</span></dt><dd>Saturated water vapor path</dd></dl></div><div class='xr-var-data'><pre>array([[[62.673542  ,         nan,         nan],\n",
+       "        [62.68858   ,         nan,         nan],\n",
+       "        [62.602005  ,         nan,         nan],\n",
+       "        [62.601994  ,         nan,         nan],\n",
+       "        [62.60074   ,         nan,         nan],\n",
+       "        [62.61755   ,         nan,         nan],\n",
+       "        [62.57175   ,         nan,         nan],\n",
+       "        [62.593243  ,         nan,         nan]],\n",
+       "\n",
+       "       [[62.90163   ,         nan,         nan],\n",
+       "        [62.912807  ,         nan,         nan],\n",
+       "        [62.845795  ,         nan,         nan],\n",
+       "        [62.845768  ,         nan,         nan],\n",
+       "        [62.83283   ,         nan,         nan],\n",
+       "        [62.85103   ,         nan,         nan],\n",
+       "        [62.816936  ,         nan,         nan],\n",
+       "        [62.837982  ,         nan,         nan]],\n",
+       "\n",
+       "       [[63.261566  ,         nan,         nan],\n",
+       "        [63.273342  ,         nan,         nan],\n",
+       "...\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [70.79688   ,         nan,         nan]],\n",
+       "\n",
+       "       [[70.70423   ,         nan,         nan],\n",
+       "        [70.737206  ,         nan,         nan],\n",
+       "        [70.6531    ,         nan,         nan],\n",
+       "        [70.65298   ,         nan,         nan],\n",
+       "        [70.62322   ,         nan,         nan],\n",
+       "        [70.61326   ,         nan,         nan],\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [70.519394  ,         nan,         nan]],\n",
+       "\n",
+       "       [[70.382965  ,         nan,         nan],\n",
+       "        [70.43129   ,         nan,         nan],\n",
+       "        [70.346855  ,         nan,         nan],\n",
+       "        [70.346794  ,         nan,         nan],\n",
+       "        [70.32101   ,         nan,         nan],\n",
+       "        [70.28391   ,         nan,         nan],\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [70.20156   ,         nan,         nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rh</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.5957 0.5962 0.5974 ... nan nan</div><input id='attrs-82e248ab-88da-495e-bc81-e2ca7fcc95dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82e248ab-88da-495e-bc81-e2ca7fcc95dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-386cf881-901a-4ed6-bf05-00a098ee8058' class='xr-var-data-in' type='checkbox'><label for='data-386cf881-901a-4ed6-bf05-00a098ee8058' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Relative humidity</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.5956568 , 0.5961567 , 0.5974106 , ..., 0.52737933,\n",
+       "          0.53261906, 0.5380284 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.5903401 , 0.5907562 , 0.5919464 , ..., 0.5267768 ,\n",
+       "          0.5323208 , 0.5380596 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.5873893 , 0.58778363, 0.5889613 , ..., 0.5267046 ,\n",
+       "          0.5319185 , 0.5377149 ],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "...\n",
+       "        [[0.49648312, 0.4960666 , 0.4962586 , ..., 0.3676584 ,\n",
+       "          0.3655691 , 0.36331007],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]],\n",
+       "\n",
+       "        [[0.49782053, 0.4974346 , 0.49764284, ..., 0.37073568,\n",
+       "          0.36742303, 0.36417365],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan],\n",
+       "         [       nan,        nan,        nan, ...,        nan,\n",
+       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zi</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.818e+04 2.818e+04 ... 3.054e+04</div><input id='attrs-0efa29cd-e26d-41f5-914c-bdb3239b795a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0efa29cd-e26d-41f5-914c-bdb3239b795a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d580a410-159e-4fa1-86e8-5a382b2965fa' class='xr-var-data-in' type='checkbox'><label for='data-d580a410-159e-4fa1-86e8-5a382b2965fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Boundary Layer Depth</dd></dl></div><div class='xr-var-data'><pre>array([[[28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ]],\n",
+       "\n",
+       "       [[28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ]],\n",
+       "\n",
+       "       [[28181.   , 28181.   , 28181.   ],\n",
+       "        [28181.   , 28181.   , 28181.   ],\n",
+       "...\n",
+       "        [      nan,       nan,       nan],\n",
+       "        [29752.334, 29752.334, 29752.334]],\n",
+       "\n",
+       "       [[30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [      nan,       nan,       nan],\n",
+       "        [30538.   , 30538.   , 30538.   ]],\n",
+       "\n",
+       "       [[30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [30538.   , 30538.   , 30538.   ],\n",
+       "        [      nan,       nan,       nan],\n",
+       "        [30538.   , 30538.   , 30538.   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rr</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-f728c6f2-6f1a-4393-b806-2b3dd611d7c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f728c6f2-6f1a-4393-b806-2b3dd611d7c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f223992-3b06-466d-b44d-9f6fc0505dbc' class='xr-var-data-in' type='checkbox'><label for='data-1f223992-3b06-466d-b44d-9f6fc0505dbc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>long_name :</span></dt><dd>Mean surface rain rate</dd></dl></div><div class='xr-var-data'><pre>array([[[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "...\n",
+       "        [          nan,           nan,           nan],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [          nan,           nan,           nan],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [          nan,           nan,           nan],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_cover</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-6c6b335f-3364-4dc8-89ed-e4b4fa782f47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c6b335f-3364-4dc8-89ed-e4b4fa782f47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a667359f-8d1f-4693-b055-8692f281c347' class='xr-var-data-in' type='checkbox'><label for='data-a667359f-8d1f-4693-b055-8692f281c347' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Rain water specific humidity cover</dd></dl></div><div class='xr-var-data'><pre>array([[[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "...\n",
+       "        [          nan,           nan,           nan],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [          nan,           nan,           nan],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [          nan,           nan,           nan],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qr_frac</span></div><div class='xr-var-dims'>(time, NC, sample, z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-868625e4-de90-44fa-b1b9-34ca35b2f45d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-868625e4-de90-44fa-b1b9-34ca35b2f45d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08990a8a-6ce6-406c-9d43-71a9f256c069' class='xr-var-data-in' type='checkbox'><label for='data-08990a8a-6ce6-406c-9d43-71a9f256c069' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Rain water specific humidity fraction</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "...\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
+       "\n",
+       "        [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan],\n",
+       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ustar</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.5149 0.5149 ... 0.3984 0.3984</div><input id='attrs-e2d0162b-b0b3-47ae-8565-7240cb17748d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2d0162b-b0b3-47ae-8565-7240cb17748d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-373c6eed-d7ba-4660-9a68-8087c083d452' class='xr-var-data-in' type='checkbox'><label for='data-373c6eed-d7ba-4660-9a68-8087c083d452' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>Surface friction velocity</dd></dl></div><div class='xr-var-data'><pre>array([[[0.51489836, 0.51489836, 0.51489836],\n",
+       "        [0.50795513, 0.50795513, 0.50795513],\n",
+       "        [0.5115656 , 0.5115656 , 0.5115656 ],\n",
+       "        [0.5115656 , 0.5115656 , 0.5115656 ],\n",
+       "        [0.5100952 , 0.5100952 , 0.5100952 ],\n",
+       "        [0.51190597, 0.51190597, 0.51190597],\n",
+       "        [0.5090806 , 0.5090806 , 0.5090806 ],\n",
+       "        [0.510747  , 0.510747  , 0.510747  ]],\n",
+       "\n",
+       "       [[0.50229007, 0.50229007, 0.50229007],\n",
+       "        [0.49997345, 0.49997345, 0.49997345],\n",
+       "        [0.5008376 , 0.5008376 , 0.5008376 ],\n",
+       "        [0.5008376 , 0.5008376 , 0.5008376 ],\n",
+       "        [0.4982412 , 0.4982412 , 0.4982412 ],\n",
+       "        [0.49858966, 0.49858966, 0.49858966],\n",
+       "        [0.49941555, 0.49941555, 0.49941555],\n",
+       "        [0.49980858, 0.49980858, 0.49980858]],\n",
+       "\n",
+       "       [[0.49452648, 0.49452648, 0.49452648],\n",
+       "        [0.5044152 , 0.5044152 , 0.5044152 ],\n",
+       "...\n",
+       "        [       nan,        nan,        nan],\n",
+       "        [0.38511586, 0.38511586, 0.38511586]],\n",
+       "\n",
+       "       [[0.388016  , 0.388016  , 0.388016  ],\n",
+       "        [0.37931672, 0.37931672, 0.37931672],\n",
+       "        [0.38153347, 0.38153347, 0.38153347],\n",
+       "        [0.38153347, 0.38153347, 0.38153347],\n",
+       "        [0.3879046 , 0.3879046 , 0.3879046 ],\n",
+       "        [0.37961766, 0.37961766, 0.37961766],\n",
+       "        [       nan,        nan,        nan],\n",
+       "        [0.3847156 , 0.3847156 , 0.3847156 ]],\n",
+       "\n",
+       "       [[0.39959124, 0.39959124, 0.39959124],\n",
+       "        [0.3908273 , 0.3908273 , 0.3908273 ],\n",
+       "        [0.393356  , 0.393356  , 0.393356  ],\n",
+       "        [0.393356  , 0.393356  , 0.393356  ],\n",
+       "        [0.39712453, 0.39712453, 0.39712453],\n",
+       "        [0.39250827, 0.39250827, 0.39250827],\n",
+       "        [       nan,        nan,        nan],\n",
+       "        [0.39838925, 0.39838925, 0.39838925]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>obuk</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>885.5 885.5 885.5 ... 109.3 109.3</div><input id='attrs-ed91dfff-423d-4fe6-8e86-7eccc1085f20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed91dfff-423d-4fe6-8e86-7eccc1085f20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88fa4e45-f11c-439c-aba8-5ca4c2b5e9bf' class='xr-var-data-in' type='checkbox'><label for='data-88fa4e45-f11c-439c-aba8-5ca4c2b5e9bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Obukhov length</dd></dl></div><div class='xr-var-data'><pre>array([[[ 8.85527405e+02,  8.85527405e+02,  8.85527405e+02],\n",
+       "        [ 7.39732483e+02,  7.39732483e+02,  7.39732483e+02],\n",
+       "        [ 6.76298645e+02,  6.76298645e+02,  6.76298645e+02],\n",
+       "        [ 6.76298645e+02,  6.76298645e+02,  6.76298645e+02],\n",
+       "        [ 7.26304199e+02,  7.26304199e+02,  7.26304199e+02],\n",
+       "        [ 7.37503906e+02,  7.37503906e+02,  7.37503906e+02],\n",
+       "        [ 7.11164856e+02,  7.11164856e+02,  7.11164856e+02],\n",
+       "        [ 7.26206543e+02,  7.26206543e+02,  7.26206543e+02]],\n",
+       "\n",
+       "       [[ 5.24071924e+03,  5.24071924e+03,  5.24071924e+03],\n",
+       "        [ 6.93332336e+02,  6.93332336e+02,  6.93332336e+02],\n",
+       "        [-1.95544275e+03, -1.95544275e+03, -1.95544275e+03],\n",
+       "        [-1.95544275e+03, -1.95544275e+03, -1.95544275e+03],\n",
+       "        [ 2.78458569e+03,  2.78458569e+03,  2.78458569e+03],\n",
+       "        [ 6.03595264e+03,  6.03595264e+03,  6.03595264e+03],\n",
+       "        [-2.41990430e+03, -2.41990430e+03, -2.41990430e+03],\n",
+       "        [ 2.23545850e+03,  2.23545850e+03,  2.23545850e+03]],\n",
+       "\n",
+       "       [[-3.09008179e+02, -3.09008179e+02, -3.09008179e+02],\n",
+       "        [-3.31303986e+02, -3.31303986e+02, -3.31303986e+02],\n",
+       "...\n",
+       "        [ 9.13753281e+01,  9.13753281e+01,  9.13753281e+01]],\n",
+       "\n",
+       "       [[ 9.85804214e+01,  9.85804214e+01,  9.85804214e+01],\n",
+       "        [ 9.36997604e+01,  9.36997604e+01,  9.36997604e+01],\n",
+       "        [ 9.42589417e+01,  9.42589417e+01,  9.42589417e+01],\n",
+       "        [ 9.42589417e+01,  9.42589417e+01,  9.42589417e+01],\n",
+       "        [ 9.80484390e+01,  9.80484390e+01,  9.80484390e+01],\n",
+       "        [ 9.25349503e+01,  9.25349503e+01,  9.25349503e+01],\n",
+       "        [            nan,             nan,             nan],\n",
+       "        [ 9.55584946e+01,  9.55584946e+01,  9.55584946e+01]],\n",
+       "\n",
+       "       [[ 1.09874290e+02,  1.09874290e+02,  1.09874290e+02],\n",
+       "        [ 1.05215157e+02,  1.05215157e+02,  1.05215157e+02],\n",
+       "        [ 1.06735481e+02,  1.06735481e+02,  1.06735481e+02],\n",
+       "        [ 1.06735481e+02,  1.06735481e+02,  1.06735481e+02],\n",
+       "        [ 1.08037148e+02,  1.08037148e+02,  1.08037148e+02],\n",
+       "        [ 1.04659515e+02,  1.04659515e+02,  1.04659515e+02],\n",
+       "        [            nan,             nan,             nan],\n",
+       "        [ 1.09322395e+02,  1.09322395e+02,  1.09322395e+02]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wl</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.758e-15 7.758e-15 ... 1.273e-13</div><input id='attrs-53011637-3937-4aa6-8e7a-f6c1d7a09e87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53011637-3937-4aa6-8e7a-f6c1d7a09e87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0934d1a6-4312-4cee-8144-a5ad9a61582a' class='xr-var-data-in' type='checkbox'><label for='data-0934d1a6-4312-4cee-8144-a5ad9a61582a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Liquid water reservoir</dd></dl></div><div class='xr-var-data'><pre>array([[[7.75759445e-15, 7.75759445e-15, 7.75759445e-15],\n",
+       "        [3.43826767e-16, 3.43826767e-16, 3.43826767e-16],\n",
+       "        [1.47517326e-16, 1.47517326e-16, 1.47517326e-16],\n",
+       "        [1.47517326e-16, 1.47517326e-16, 1.47517326e-16],\n",
+       "        [3.40821143e-17, 3.40821143e-17, 3.40821143e-17],\n",
+       "        [7.41979438e-18, 7.41979438e-18, 7.41979438e-18],\n",
+       "        [3.40113011e-18, 3.40113011e-18, 3.40113011e-18],\n",
+       "        [1.72483877e-18, 1.72483877e-18, 1.72483877e-18]],\n",
+       "\n",
+       "       [[5.16716483e-15, 5.16716483e-15, 5.16716483e-15],\n",
+       "        [2.28339621e-16, 2.28339621e-16, 2.28339621e-16],\n",
+       "        [9.67383425e-17, 9.67383425e-17, 9.67383425e-17],\n",
+       "        [9.67383425e-17, 9.67383425e-17, 9.67383425e-17],\n",
+       "        [2.25519528e-17, 2.25519528e-17, 2.25519528e-17],\n",
+       "        [4.90102238e-18, 4.90102238e-18, 4.90102238e-18],\n",
+       "        [2.23066168e-18, 2.23066168e-18, 2.23066168e-18],\n",
+       "        [1.14763741e-18, 1.14763741e-18, 1.14763741e-18]],\n",
+       "\n",
+       "       [[3.25202905e-15, 3.25202905e-15, 3.25202905e-15],\n",
+       "        [1.42786872e-16, 1.42786872e-16, 1.42786872e-16],\n",
+       "...\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [1.94691797e-13, 1.94691797e-13, 1.94691797e-13]],\n",
+       "\n",
+       "       [[9.07253439e-10, 9.07253439e-10, 9.07253439e-10],\n",
+       "        [2.03742006e-11, 2.03742006e-11, 2.03742006e-11],\n",
+       "        [4.22197737e-12, 4.22197737e-12, 4.22197737e-12],\n",
+       "        [4.22197737e-12, 4.22197737e-12, 4.22197737e-12],\n",
+       "        [1.33076568e-12, 1.33076568e-12, 1.33076568e-12],\n",
+       "        [4.53986973e-13, 4.53986973e-13, 4.53986973e-13],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [1.57964665e-13, 1.57964665e-13, 1.57964665e-13]],\n",
+       "\n",
+       "       [[7.25874416e-10, 7.25874416e-10, 7.25874416e-10],\n",
+       "        [1.64815158e-11, 1.64815158e-11, 1.64815158e-11],\n",
+       "        [3.42319207e-12, 3.42319207e-12, 3.42319207e-12],\n",
+       "        [3.42319207e-12, 3.42319207e-12, 3.42319207e-12],\n",
+       "        [1.06919042e-12, 1.06919042e-12, 1.06919042e-12],\n",
+       "        [3.68114827e-13, 3.68114827e-13, 3.68114827e-13],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [1.27252267e-13, 1.27252267e-13, 1.27252267e-13]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-19.0 -19.0 -19.0 ... -50.47 -50.47</div><input id='attrs-d4827285-5dcb-4577-8df5-8897b8c23c4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4827285-5dcb-4577-8df5-8897b8c23c4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c627c241-0d0a-4296-8cd2-90edd9c0b97e' class='xr-var-data-in' type='checkbox'><label for='data-c627c241-0d0a-4296-8cd2-90edd9c0b97e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Surface sensible heat flux</dd></dl></div><div class='xr-var-data'><pre>array([[[-18.997353 , -18.997353 , -18.997353 ],\n",
+       "        [-20.139051 , -20.139051 , -20.139051 ],\n",
+       "        [-21.261312 , -21.261312 , -21.261312 ],\n",
+       "        [-21.261312 , -21.261312 , -21.261312 ],\n",
+       "        [-20.46846  , -20.46846  , -20.46846  ],\n",
+       "        [-20.164072 , -20.164072 , -20.164072 ],\n",
+       "        [-20.472204 , -20.472204 , -20.472204 ],\n",
+       "        [-20.499102 , -20.499102 , -20.499102 ]],\n",
+       "\n",
+       "       [[  6.284144 ,   6.284144 ,   6.284144 ],\n",
+       "        [  5.213218 ,   5.213218 ,   5.213218 ],\n",
+       "        [  3.8945694,   3.8945694,   3.8945694],\n",
+       "        [  3.8945694,   3.8945694,   3.8945694],\n",
+       "        [  4.702566 ,   4.702566 ,   4.702566 ],\n",
+       "        [  4.8372655,   4.8372655,   4.8372655],\n",
+       "        [  4.3127   ,   4.3127   ,   4.3127   ],\n",
+       "        [  4.3312125,   4.3312125,   4.3312125]],\n",
+       "\n",
+       "       [[ 31.912851 ,  31.912851 ,  31.912851 ],\n",
+       "        [ 31.704275 ,  31.704275 ,  31.704275 ],\n",
+       "...\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [-53.647137 , -53.647137 , -53.647137 ]],\n",
+       "\n",
+       "       [[-51.30929  , -51.30929  , -51.30929  ],\n",
+       "        [-50.652637 , -50.652637 , -50.652637 ],\n",
+       "        [-50.80778  , -50.80778  , -50.80778  ],\n",
+       "        [-50.80778  , -50.80778  , -50.80778  ],\n",
+       "        [-51.38061  , -51.38061  , -51.38061  ],\n",
+       "        [-50.927532 , -50.927532 , -50.927532 ],\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [-51.253414 , -51.253414 , -51.253414 ]],\n",
+       "\n",
+       "       [[-50.553238 , -50.553238 , -50.553238 ],\n",
+       "        [-49.77367  , -49.77367  , -49.77367  ],\n",
+       "        [-49.912403 , -49.912403 , -49.912403 ],\n",
+       "        [-49.912403 , -49.912403 , -49.912403 ],\n",
+       "        [-50.485126 , -50.485126 , -50.485126 ],\n",
+       "        [-50.21583  , -50.21583  , -50.21583  ],\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [-50.468983 , -50.468983 , -50.468983 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LE</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>66.26 66.26 66.26 ... 11.2 11.2</div><input id='attrs-a0fc4cc3-a0df-43be-a295-f99d53ef27cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0fc4cc3-a0df-43be-a295-f99d53ef27cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45a2dccc-0597-49fd-84c9-0863babc6a9d' class='xr-var-data-in' type='checkbox'><label for='data-45a2dccc-0597-49fd-84c9-0863babc6a9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Surface latent heat flux</dd></dl></div><div class='xr-var-data'><pre>array([[[ 66.26182  ,  66.26182  ,  66.26182  ],\n",
+       "        [ 66.98254  ,  66.98254  ,  66.98254  ],\n",
+       "        [ 67.52323  ,  67.52323  ,  67.52323  ],\n",
+       "        [ 67.52323  ,  67.52323  ,  67.52323  ],\n",
+       "        [ 67.222275 ,  67.222275 ,  67.222275 ],\n",
+       "        [ 66.88033  ,  66.88033  ,  66.88033  ],\n",
+       "        [ 66.87635  ,  66.87635  ,  66.87635  ],\n",
+       "        [ 67.02857  ,  67.02857  ,  67.02857  ]],\n",
+       "\n",
+       "       [[101.17887  , 101.17887  , 101.17887  ],\n",
+       "        [101.93517  , 101.93517  , 101.93517  ],\n",
+       "        [102.766174 , 102.766174 , 102.766174 ],\n",
+       "        [102.766174 , 102.766174 , 102.766174 ],\n",
+       "        [102.350914 , 102.350914 , 102.350914 ],\n",
+       "        [102.092125 , 102.092125 , 102.092125 ],\n",
+       "        [102.27244  , 102.27244  , 102.27244  ],\n",
+       "        [102.41309  , 102.41309  , 102.41309  ]],\n",
+       "\n",
+       "       [[137.85616  , 137.85616  , 137.85616  ],\n",
+       "        [138.19829  , 138.19829  , 138.19829  ],\n",
+       "...\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [ 15.981828 ,  15.981828 ,  15.981828 ]],\n",
+       "\n",
+       "       [[ 11.780869 ,  11.780869 ,  11.780869 ],\n",
+       "        [ 11.6443815,  11.6443815,  11.6443815],\n",
+       "        [ 11.620026 ,  11.620026 ,  11.620026 ],\n",
+       "        [ 11.620026 ,  11.620026 ,  11.620026 ],\n",
+       "        [ 11.721504 ,  11.721504 ,  11.721504 ],\n",
+       "        [ 11.655372 ,  11.655372 ,  11.655372 ],\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [ 11.647546 ,  11.647546 ,  11.647546 ]],\n",
+       "\n",
+       "       [[ 11.330916 ,  11.330916 ,  11.330916 ],\n",
+       "        [ 11.178574 ,  11.178574 ,  11.178574 ],\n",
+       "        [ 11.154429 ,  11.154429 ,  11.154429 ],\n",
+       "        [ 11.154429 ,  11.154429 ,  11.154429 ],\n",
+       "        [ 11.259244 ,  11.259244 ,  11.259244 ],\n",
+       "        [ 11.21286  ,  11.21286  ,  11.21286  ],\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [ 11.197764 ,  11.197764 ,  11.197764 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>G</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-5.177 -5.177 ... -18.46 -18.46</div><input id='attrs-07c00d2e-7f16-450f-abcf-0a6a96a78501' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07c00d2e-7f16-450f-abcf-0a6a96a78501' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5562cb86-649e-4582-850b-c53ce3519eff' class='xr-var-data-in' type='checkbox'><label for='data-5562cb86-649e-4582-850b-c53ce3519eff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Surface soil heat flux</dd></dl></div><div class='xr-var-data'><pre>array([[[ -5.1767116,  -5.1767116,  -5.1767116],\n",
+       "        [ -4.816609 ,  -4.816609 ,  -4.816609 ],\n",
+       "        [ -4.1233964,  -4.1233964,  -4.1233964],\n",
+       "        [ -4.1233964,  -4.1233964,  -4.1233964],\n",
+       "        [ -4.614084 ,  -4.614084 ,  -4.614084 ],\n",
+       "        [ -4.57466  ,  -4.57466  ,  -4.57466  ],\n",
+       "        [ -4.2012386,  -4.2012386,  -4.2012386],\n",
+       "        [ -4.3756943,  -4.3756943,  -4.3756943]],\n",
+       "\n",
+       "       [[  7.223437 ,   7.223437 ,   7.223437 ],\n",
+       "        [  7.4831276,   7.4831276,   7.4831276],\n",
+       "        [  8.123116 ,   8.123116 ,   8.123116 ],\n",
+       "        [  8.123116 ,   8.123116 ,   8.123116 ],\n",
+       "        [  7.7030005,   7.7030005,   7.7030005],\n",
+       "        [  7.8169436,   7.8169436,   7.8169436],\n",
+       "        [  8.222584 ,   8.222584 ,   8.222584 ],\n",
+       "        [  8.025334 ,   8.025334 ,   8.025334 ]],\n",
+       "\n",
+       "       [[ 20.93782  ,  20.93782  ,  20.93782  ],\n",
+       "        [ 20.833899 ,  20.833899 ,  20.833899 ],\n",
+       "...\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [-15.908249 , -15.908249 , -15.908249 ]],\n",
+       "\n",
+       "       [[-17.994987 , -17.994987 , -17.994987 ],\n",
+       "        [-18.252869 , -18.252869 , -18.252869 ],\n",
+       "        [-18.096838 , -18.096838 , -18.096838 ],\n",
+       "        [-18.096838 , -18.096838 , -18.096838 ],\n",
+       "        [-17.796556 , -17.796556 , -17.796556 ],\n",
+       "        [-17.983747 , -17.983747 , -17.983747 ],\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [-17.770483 , -17.770483 , -17.770483 ]],\n",
+       "\n",
+       "       [[-18.65776  , -18.65776  , -18.65776  ],\n",
+       "        [-19.000933 , -19.000933 , -19.000933 ],\n",
+       "        [-18.860939 , -18.860939 , -18.860939 ],\n",
+       "        [-18.860939 , -18.860939 , -18.860939 ],\n",
+       "        [-18.541285 , -18.541285 , -18.541285 ],\n",
+       "        [-18.627825 , -18.627825 , -18.627825 ],\n",
+       "        [        nan,         nan,         nan],\n",
+       "        [-18.460947 , -18.460947 , -18.460947 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>S</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan 0.0 0.0 0.0</div><input id='attrs-4dd2e634-93fd-4ae6-8ce8-9df50b52e7f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dd2e634-93fd-4ae6-8ce8-9df50b52e7f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc7e721e-00ec-4ac3-97e6-a4fd5aaae1cb' class='xr-var-data-in' type='checkbox'><label for='data-bc7e721e-00ec-4ac3-97e6-a4fd5aaae1cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Surface storage heat flux</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "...\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0.,  0.,  0.]],\n",
+       "\n",
+       "       [[ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [ 0.,  0.,  0.],\n",
+       "        [nan, nan, nan],\n",
+       "        [ 0.,  0.,  0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(time, NC, sample, zs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>289.0 293.7 298.8 ... nan nan nan</div><input id='attrs-66e08dab-e304-4667-ad26-69d702fafade' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66e08dab-e304-4667-ad26-69d702fafade' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-106b7a61-04be-4d72-85ee-6ef157efd1f0' class='xr-var-data-in' type='checkbox'><label for='data-106b7a61-04be-4d72-85ee-6ef157efd1f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Soil temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[289.03824, 293.70065, 298.79984, 298.7689 ],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        [[289.03824, 293.70065, 298.7403 , 298.75833],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        [[289.03824, 293.70065, 298.67136, 298.694  ],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[289.03824, 293.70065, 298.71335, 298.717  ],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        [[289.03824, 293.70065, 298.65836, 298.6733 ],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "...\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        [[289.03824, 293.70065, 299.9181 , 301.92776],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[289.03824, 293.70065, 299.91248, 301.93015],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        [[      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]],\n",
+       "\n",
+       "        [[289.03824, 293.70065, 299.8967 , 301.90506],\n",
+       "         [      nan,       nan,       nan,       nan],\n",
+       "         [      nan,       nan,       nan,       nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta</span></div><div class='xr-var-dims'>(time, NC, sample, zs)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2032 0.2371 0.2555 ... nan nan</div><input id='attrs-6ce647df-ef45-45d2-948f-8e3b3b713582' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ce647df-ef45-45d2-948f-8e3b3b713582' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26175722-6dbb-420d-a7d4-c203c4a504ba' class='xr-var-data-in' type='checkbox'><label for='data-26175722-6dbb-420d-a7d4-c203c4a504ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>-</dd><dt><span>long_name :</span></dt><dd>Soil volumetric water content</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.20322801, 0.2371441 , 0.25546244, 0.22602469],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        [[0.20322801, 0.2371407 , 0.25543445, 0.22603874],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        [[0.20322801, 0.23715757, 0.25552115, 0.22601976],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[0.20322801, 0.23715223, 0.25550047, 0.22603868],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        [[0.20322801, 0.23713781, 0.25550035, 0.22603978],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "...\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        [[0.20322801, 0.23485728, 0.24125348, 0.21718068],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[0.20322801, 0.23485337, 0.2412508 , 0.21725322],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        [[       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]],\n",
+       "\n",
+       "        [[0.20322801, 0.23480846, 0.24141274, 0.21726756],\n",
+       "         [       nan,        nan,        nan,        nan],\n",
+       "         [       nan,        nan,        nan,        nan]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lw_flux_up</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>445.0 446.4 446.4 ... nan nan nan</div><input id='attrs-72ae8128-bd5b-4c00-9b5d-4b4e3597615b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72ae8128-bd5b-4c00-9b5d-4b4e3597615b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fad1b841-a8e7-459f-b03a-f63e7d7ecb87' class='xr-var-data-in' type='checkbox'><label for='data-fad1b841-a8e7-459f-b03a-f63e7d7ecb87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Longwave upwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[445.0265 , 446.35837, 446.4403 , ..., 364.7571 , 363.8837 ,\n",
+       "          363.0109 ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[445.17557, 446.59384, 446.6914 , ..., 364.77982, 363.90405,\n",
+       "          363.0282 ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[445.21436, 446.68265, 446.7891 , ..., 364.81882, 363.94394,\n",
+       "          363.06577],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[456.62854, 461.4978 , 462.21036, ..., 373.84634, 373.10107,\n",
+       "          372.36563],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[456.57205, 461.39066, 462.09384, ..., 373.7816 , 373.04922,\n",
+       "          372.32578],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lw_flux_dn</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>380.2 380.1 379.4 ... nan nan nan</div><input id='attrs-bf9955e1-0b13-405f-8b8a-0bc0d1ca5add' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf9955e1-0b13-405f-8b8a-0bc0d1ca5add' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-764eda7e-368f-4670-a728-7befaffb25ac' class='xr-var-data-in' type='checkbox'><label for='data-764eda7e-368f-4670-a728-7befaffb25ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Longwave downwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[380.1896 , 380.09146, 379.4249 , ..., 203.56685, 201.97766,\n",
+       "          200.39409],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[380.2678 , 380.2161 , 379.55106, ..., 203.61003, 202.01842,\n",
+       "          200.43097],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[380.42636, 380.40213, 379.73813, ..., 203.57153, 201.97871,\n",
+       "          200.38753],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[399.02063, 400.91116, 400.36948, ..., 199.44334, 197.91737,\n",
+       "          196.40819],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[398.86282, 400.72476, 400.1813 , ..., 199.50005, 197.97804,\n",
+       "          196.46545],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lw_flux_up_clear</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>445.0 446.4 446.4 ... nan nan nan</div><input id='attrs-18decd23-2141-47b5-b4f8-243342671e45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18decd23-2141-47b5-b4f8-243342671e45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ed645c7-b633-49b8-95ae-f8c462a92bb0' class='xr-var-data-in' type='checkbox'><label for='data-6ed645c7-b633-49b8-95ae-f8c462a92bb0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Clear-sky longwave upwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[445.0265 , 446.35837, 446.4403 , ..., 364.7571 , 363.8837 ,\n",
+       "          363.0109 ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[445.17557, 446.59384, 446.6914 , ..., 364.77982, 363.90405,\n",
+       "          363.0282 ],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[445.21436, 446.68265, 446.7891 , ..., 364.81882, 363.94394,\n",
+       "          363.06577],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[456.62854, 461.4978 , 462.21036, ..., 373.84634, 373.10107,\n",
+       "          372.36563],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[456.57205, 461.39066, 462.09384, ..., 373.7816 , 373.04922,\n",
+       "          372.32578],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lw_flux_dn_clear</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>380.2 380.1 379.4 ... nan nan nan</div><input id='attrs-de74526e-e877-42ad-83fd-f64f56ed60dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de74526e-e877-42ad-83fd-f64f56ed60dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf3d5a8d-5bd5-4612-be49-0f9d1c080e33' class='xr-var-data-in' type='checkbox'><label for='data-cf3d5a8d-5bd5-4612-be49-0f9d1c080e33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Clear-sky longwave downwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[380.1896 , 380.09146, 379.4249 , ..., 203.56685, 201.97766,\n",
+       "          200.39409],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[380.2678 , 380.2161 , 379.55106, ..., 203.61003, 202.01842,\n",
+       "          200.43097],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[380.42636, 380.40213, 379.73813, ..., 203.57153, 201.97871,\n",
+       "          200.38753],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "...\n",
+       "        [[399.02063, 400.91116, 400.36948, ..., 199.44334, 197.91737,\n",
+       "          196.40819],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]],\n",
+       "\n",
+       "        [[398.86282, 400.72476, 400.1813 , ..., 199.50005, 197.97804,\n",
+       "          196.46545],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan],\n",
+       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_up</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>22.85 22.88 22.9 ... nan nan nan</div><input id='attrs-5564ca1c-ed13-458b-9a73-39ac07350a0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5564ca1c-ed13-458b-9a73-39ac07350a0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f90a57d-a431-4ad2-9a89-e87f54a63865' class='xr-var-data-in' type='checkbox'><label for='data-7f90a57d-a431-4ad2-9a89-e87f54a63865' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Shortwave upwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[22.854927  , 22.878485  , 22.896006  , ..., 29.351837  ,\n",
+       "          29.419485  , 29.487097  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[22.857103  , 22.880682  , 22.898224  , ..., 29.354013  ,\n",
+       "          29.42166   , 29.489271  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[22.854868  , 22.878471  , 22.896027  , ..., 29.352058  ,\n",
+       "          29.41971   , 29.487326  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "           0.        ,  0.        ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "           0.        ,  0.        ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_dn</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>130.0 130.1 130.2 ... nan nan nan</div><input id='attrs-53969c0d-d573-4db6-a059-4fb958b81e89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53969c0d-d573-4db6-a059-4fb958b81e89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adcd2800-83d2-4546-8a8d-b0e948f9cd7d' class='xr-var-data-in' type='checkbox'><label for='data-adcd2800-83d2-4546-8a8d-b0e948f9cd7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Shortwave downwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[129.98727  , 130.12338  , 130.22444  , ..., 164.56998  ,\n",
+       "          164.88786  , 165.20677  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[129.99965  , 130.13536  , 130.23607  , ..., 164.55981  ,\n",
+       "          164.87746  , 165.19621  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[129.98694  , 130.12222  , 130.22266  , ..., 164.56802  ,\n",
+       "          164.88564  , 165.20433  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_dn_dir</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>103.2 103.4 103.5 ... nan nan nan</div><input id='attrs-615b9642-ea44-4397-ac38-6fe2710d3847' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-615b9642-ea44-4397-ac38-6fe2710d3847' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d862b2ed-d739-4819-bf31-d38d37fe841a' class='xr-var-data-in' type='checkbox'><label for='data-d862b2ed-d739-4819-bf31-d38d37fe841a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Shortwave direct downwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[103.22776  , 103.38087  , 103.49451  , ..., 142.94357  ,\n",
+       "          143.32072  , 143.6989   ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[103.239845 , 103.392555 , 103.50587  , ..., 142.93344  ,\n",
+       "          143.31035  , 143.6884   ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[103.227325 , 103.379616 , 103.49264  , ..., 142.94176  ,\n",
+       "          143.3186   , 143.69661  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_up_clear</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>22.85 22.88 22.9 ... nan nan nan</div><input id='attrs-e3682b3a-35ad-402e-8b6a-0df2b06c9a16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3682b3a-35ad-402e-8b6a-0df2b06c9a16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b8a4e8f-884c-492f-a362-adfa593ab982' class='xr-var-data-in' type='checkbox'><label for='data-7b8a4e8f-884c-492f-a362-adfa593ab982' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Clear-sky shortwave upwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[22.854927  , 22.878485  , 22.896006  , ..., 29.351837  ,\n",
+       "          29.419485  , 29.487097  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[22.857103  , 22.880682  , 22.898224  , ..., 29.354013  ,\n",
+       "          29.42166   , 29.489271  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[22.854868  , 22.878471  , 22.896027  , ..., 29.352058  ,\n",
+       "          29.41971   , 29.487326  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "           0.        ,  0.        ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "           0.        ,  0.        ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_dn_clear</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>130.0 130.1 130.2 ... nan nan nan</div><input id='attrs-504c84d4-91c4-4b29-8281-545f0670823d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-504c84d4-91c4-4b29-8281-545f0670823d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-699105ce-7a3d-47b6-a8ee-811b1fff8ae1' class='xr-var-data-in' type='checkbox'><label for='data-699105ce-7a3d-47b6-a8ee-811b1fff8ae1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Clear-sky shortwave downwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[129.98727  , 130.12338  , 130.22444  , ..., 164.56998  ,\n",
+       "          164.88786  , 165.20677  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[129.99965  , 130.13536  , 130.23607  , ..., 164.55981  ,\n",
+       "          164.87746  , 165.19621  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[129.98694  , 130.12222  , 130.22266  , ..., 164.56802  ,\n",
+       "          164.88564  , 165.20433  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_dn_dir_clear</span></div><div class='xr-var-dims'>(time, NC, sample, zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>103.2 103.4 103.5 ... nan nan nan</div><input id='attrs-a153c921-13e9-48ca-8576-a9df0f4b2ccc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a153c921-13e9-48ca-8576-a9df0f4b2ccc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0717236b-7f45-46c5-b09f-6fd6243502a2' class='xr-var-data-in' type='checkbox'><label for='data-0717236b-7f45-46c5-b09f-6fd6243502a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Clear-sky shortwave direct downwelling flux</dd></dl></div><div class='xr-var-data'><pre>array([[[[103.22776  , 103.38087  , 103.49451  , ..., 142.94357  ,\n",
+       "          143.32072  , 143.6989   ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[103.239845 , 103.392555 , 103.50587  , ..., 142.93344  ,\n",
+       "          143.31035  , 143.6884   ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[103.227325 , 103.379616 , 103.49264  , ..., 142.94176  ,\n",
+       "          143.3186   , 143.69661  ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "...\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]],\n",
+       "\n",
+       "        [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "            0.       ,   0.       ],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan],\n",
+       "         [        nan,         nan,         nan, ...,         nan,\n",
+       "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_up_ref</span></div><div class='xr-var-dims'>(time, NC, sample, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>23.2 23.88 24.69 ... 0.1828 0.183</div><input id='attrs-811f4f7c-96d3-4f02-9d7e-f39c7e520b25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-811f4f7c-96d3-4f02-9d7e-f39c7e520b25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abd38dfb-83fd-436b-ac11-badc82fd8179' class='xr-var-data-in' type='checkbox'><label for='data-abd38dfb-83fd-436b-ac11-badc82fd8179' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Shortwave upwelling flux of reference column</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01],\n",
+       "         [2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01],\n",
+       "         [2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01]],\n",
+       "\n",
+       "        [[2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01],\n",
+       "         [2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01],\n",
+       "         [2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01]],\n",
+       "\n",
+       "        [[2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01],\n",
+       "         [2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01],\n",
+       "         [2.3201559e+01, 2.3880873e+01, 2.4692039e+01, ...,\n",
+       "          4.8085110e+01, 4.8085346e+01, 4.8085571e+01]],\n",
+       "...\n",
+       "        [[2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01],\n",
+       "         [2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01],\n",
+       "         [2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01]],\n",
+       "\n",
+       "        [[          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01],\n",
+       "         [2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01],\n",
+       "         [2.2036446e-02, 2.2283874e-02, 2.2595389e-02, ...,\n",
+       "          1.8251310e-01, 1.8275519e-01, 1.8299709e-01]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_dn_ref</span></div><div class='xr-var-dims'>(time, NC, sample, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>132.0 135.4 139.5 ... 0.6187 0.6207</div><input id='attrs-dc793bd0-33df-4afa-96ad-8ada5153ad06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc793bd0-33df-4afa-96ad-8ada5153ad06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-269b1fba-8fa7-4351-b108-cc7685d1e414' class='xr-var-data-in' type='checkbox'><label for='data-269b1fba-8fa7-4351-b108-cc7685d1e414' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Shortwave downwelling flux of reference column</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02],\n",
+       "         [1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02],\n",
+       "         [1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02]],\n",
+       "\n",
+       "        [[1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02],\n",
+       "         [1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02],\n",
+       "         [1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02]],\n",
+       "\n",
+       "        [[1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02],\n",
+       "         [1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02],\n",
+       "         [1.3195872e+02, 1.3537129e+02, 1.3946521e+02, ...,\n",
+       "          2.3650829e+02, 2.3651221e+02, 2.3651843e+02]],\n",
+       "...\n",
+       "        [[1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01],\n",
+       "         [1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01],\n",
+       "         [1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01]],\n",
+       "\n",
+       "        [[          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan],\n",
+       "         [          nan,           nan,           nan, ...,\n",
+       "                    nan,           nan,           nan]],\n",
+       "\n",
+       "        [[1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01],\n",
+       "         [1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01],\n",
+       "         [1.2533219e-01, 1.2690376e-01, 1.2873481e-01, ...,\n",
+       "          6.1719519e-01, 6.1869735e-01, 6.2071377e-01]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_dn_dir_ref</span></div><div class='xr-var-dims'>(time, NC, sample, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>105.2 109.1 113.8 ... 0.6185 0.6207</div><input id='attrs-625e396a-6d4e-4834-a484-219323f00a1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-625e396a-6d4e-4834-a484-219323f00a1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b18c5d5-3c37-43e2-9e77-e525e16f1c62' class='xr-var-data-in' type='checkbox'><label for='data-3b18c5d5-3c37-43e2-9e77-e525e16f1c62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Shortwave direct downwelling flux of reference column</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02],\n",
+       "         [1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02],\n",
+       "         [1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02]],\n",
+       "\n",
+       "        [[1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02],\n",
+       "         [1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02],\n",
+       "         [1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02]],\n",
+       "\n",
+       "        [[1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02],\n",
+       "         [1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02],\n",
+       "         [1.05154472e+02, 1.09057487e+02, 1.13751366e+02, ...,\n",
+       "          2.36507736e+02, 2.36511948e+02, 2.36518433e+02]],\n",
+       "...\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01],\n",
+       "         [3.12444676e-21, 1.64182313e-18, 1.10723977e-15, ...,\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01],\n",
+       "         [3.12444676e-21, 1.64182313e-18, 1.10723977e-15, ...,\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01]],\n",
+       "\n",
+       "        [[           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan],\n",
+       "         [           nan,            nan,            nan, ...,\n",
+       "                     nan,            nan,            nan]],\n",
+       "\n",
+       "        [[3.12444676e-21, 1.64182313e-18, 1.10723977e-15, ...,\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01],\n",
+       "         [3.12444676e-21, 1.64182313e-18, 1.10723977e-15, ...,\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01],\n",
+       "         [3.12444676e-21, 1.64182313e-18, 1.10723977e-15, ...,\n",
+       "          6.16711199e-01, 6.18455350e-01, 6.20713770e-01]]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lw_flux_up_ref</span></div><div class='xr-var-dims'>(time, NC, sample, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>476.5 465.4 447.4 ... 282.1 282.1</div><input id='attrs-ca653471-2d82-4a41-9470-c4010c3d87f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca653471-2d82-4a41-9470-c4010c3d87f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0538631e-f632-4bbd-8fa2-26d96df2f9aa' class='xr-var-data-in' type='checkbox'><label for='data-0538631e-f632-4bbd-8fa2-26d96df2f9aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Longwave upwelling flux of reference column</dd></dl></div><div class='xr-var-data'><pre>array([[[[476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072]],\n",
+       "\n",
+       "        [[476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072]],\n",
+       "\n",
+       "        [[476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072]],\n",
+       "...\n",
+       "        [[476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072]],\n",
+       "\n",
+       "        [[476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072]],\n",
+       "\n",
+       "        [[476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072],\n",
+       "         [476.4841 , 465.44806, 447.4295 , ..., 282.0554 , 282.05295,\n",
+       "          282.05072]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lw_flux_dn_ref</span></div><div class='xr-var-dims'>(time, NC, sample, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>386.1 359.6 329.6 ... 0.0216 0.0</div><input id='attrs-ec28f437-627a-4e14-82d0-094ec9d04388' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec28f437-627a-4e14-82d0-094ec9d04388' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90d3c9b6-bf0c-4e4e-b24e-074d40a13572' class='xr-var-data-in' type='checkbox'><label for='data-90d3c9b6-bf0c-4e4e-b24e-074d40a13572' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>Longwave downwelling flux of reference column</dd></dl></div><div class='xr-var-data'><pre>array([[[[3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00]],\n",
+       "\n",
+       "        [[3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00]],\n",
+       "\n",
+       "        [[3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00]],\n",
+       "...\n",
+       "        [[3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00]],\n",
+       "\n",
+       "        [[3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00]],\n",
+       "\n",
+       "        [[3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00],\n",
+       "         [3.8605243e+02, 3.5958707e+02, 3.2958765e+02, ...,\n",
+       "          2.9348550e-02, 2.1600969e-02, 0.0000000e+00]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sza</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.39 1.39 1.39 ... 1.743 1.743</div><input id='attrs-d594052a-c54f-4fc1-90d4-965883c73172' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d594052a-c54f-4fc1-90d4-965883c73172' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1c3f850-4176-4f2f-813a-f7f17e5eb1a7' class='xr-var-data-in' type='checkbox'><label for='data-e1c3f850-4176-4f2f-813a-f7f17e5eb1a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad</dd><dt><span>long_name :</span></dt><dd>solar zenith angle</dd></dl></div><div class='xr-var-data'><pre>array([[[1.3903567 , 1.3903567 , 1.3903567 ],\n",
+       "        [1.3903567 , 1.3903567 , 1.3903567 ],\n",
+       "        [1.3903567 , 1.3903567 , 1.3903567 ],\n",
+       "        [1.3903567 , 1.3903567 , 1.3903567 ],\n",
+       "        [1.3903567 , 1.3903567 , 1.3903567 ],\n",
+       "        [1.3903567 , 1.3903567 , 1.3903567 ],\n",
+       "        [1.3903567 , 1.3903567 , 1.3903567 ],\n",
+       "        [1.3903567 , 1.3903567 , 1.3903567 ]],\n",
+       "\n",
+       "       [[1.2909904 , 1.2909904 , 1.2909904 ],\n",
+       "        [1.2909904 , 1.2909904 , 1.2909904 ],\n",
+       "        [1.2909904 , 1.2909904 , 1.2909904 ],\n",
+       "        [1.2909904 , 1.2909904 , 1.2909904 ],\n",
+       "        [1.2909904 , 1.2909904 , 1.2909904 ],\n",
+       "        [1.2909904 , 1.2909904 , 1.2909904 ],\n",
+       "        [1.2909904 , 1.2909904 , 1.2909904 ],\n",
+       "        [1.2909904 , 1.2909904 , 1.2909904 ]],\n",
+       "\n",
+       "       [[1.1894778 , 1.1894778 , 1.1894778 ],\n",
+       "        [1.1894778 , 1.1894778 , 1.1894778 ],\n",
+       "...\n",
+       "        [       nan,        nan,        nan],\n",
+       "        [1.5686334 , 1.5686334 , 1.5686334 ]],\n",
+       "\n",
+       "       [[1.6583372 , 1.6583372 , 1.6583372 ],\n",
+       "        [1.6583372 , 1.6583372 , 1.6583372 ],\n",
+       "        [1.6583372 , 1.6583372 , 1.6583372 ],\n",
+       "        [1.6583372 , 1.6583372 , 1.6583372 ],\n",
+       "        [1.6583372 , 1.6583372 , 1.6583372 ],\n",
+       "        [1.6583372 , 1.6583372 , 1.6583372 ],\n",
+       "        [       nan,        nan,        nan],\n",
+       "        [1.6583372 , 1.6583372 , 1.6583372 ]],\n",
+       "\n",
+       "       [[1.7431656 , 1.7431656 , 1.7431656 ],\n",
+       "        [1.7431656 , 1.7431656 , 1.7431656 ],\n",
+       "        [1.7431656 , 1.7431656 , 1.7431656 ],\n",
+       "        [1.7431656 , 1.7431656 , 1.7431656 ],\n",
+       "        [1.7431656 , 1.7431656 , 1.7431656 ],\n",
+       "        [1.7431656 , 1.7431656 , 1.7431656 ],\n",
+       "        [       nan,        nan,        nan],\n",
+       "        [1.7431656 , 1.7431656 , 1.7431656 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sw_flux_dn_toa</span></div><div class='xr-var-dims'>(time, NC, sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>236.5 236.5 236.5 ... 0.6207 0.6207</div><input id='attrs-11aea719-5e4e-48fe-b1e2-4086b662cbe9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11aea719-5e4e-48fe-b1e2-4086b662cbe9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23f90187-a217-4d95-a78c-7e46e9e1fddc' class='xr-var-data-in' type='checkbox'><label for='data-23f90187-a217-4d95-a78c-7e46e9e1fddc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>long_name :</span></dt><dd>shortwave downwelling flux at toa</dd></dl></div><div class='xr-var-data'><pre>array([[[2.36518433e+02, 2.36518433e+02, 2.36518433e+02],\n",
+       "        [2.36518433e+02, 2.36518433e+02, 2.36518433e+02],\n",
+       "        [2.36518433e+02, 2.36518433e+02, 2.36518433e+02],\n",
+       "        [2.36518433e+02, 2.36518433e+02, 2.36518433e+02],\n",
+       "        [2.36518433e+02, 2.36518433e+02, 2.36518433e+02],\n",
+       "        [2.36518433e+02, 2.36518433e+02, 2.36518433e+02],\n",
+       "        [2.36518433e+02, 2.36518433e+02, 2.36518433e+02],\n",
+       "        [2.36518433e+02, 2.36518433e+02, 2.36518433e+02]],\n",
+       "\n",
+       "       [[3.63963165e+02, 3.63963165e+02, 3.63963165e+02],\n",
+       "        [3.63963165e+02, 3.63963165e+02, 3.63963165e+02],\n",
+       "        [3.63963165e+02, 3.63963165e+02, 3.63963165e+02],\n",
+       "        [3.63963165e+02, 3.63963165e+02, 3.63963165e+02],\n",
+       "        [3.63963165e+02, 3.63963165e+02, 3.63963165e+02],\n",
+       "        [3.63963165e+02, 3.63963165e+02, 3.63963165e+02],\n",
+       "        [3.63963165e+02, 3.63963165e+02, 3.63963165e+02],\n",
+       "        [3.63963165e+02, 3.63963165e+02, 3.63963165e+02]],\n",
+       "\n",
+       "       [[4.90439331e+02, 4.90439331e+02, 4.90439331e+02],\n",
+       "        [4.90439331e+02, 4.90439331e+02, 4.90439331e+02],\n",
+       "...\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [1.68698406e+01, 1.68698406e+01, 1.68698406e+01]],\n",
+       "\n",
+       "       [[6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01]],\n",
+       "\n",
+       "       [[6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01],\n",
+       "        [           nan,            nan,            nan],\n",
+       "        [6.20713770e-01, 6.20713770e-01, 6.20713770e-01]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c6dd2b01-b658-45b1-8ff5-22d26d1bd781' class='xr-section-summary-in' type='checkbox'  ><label for='section-c6dd2b01-b658-45b1-8ff5-22d26d1bd781' class='xr-section-summary' >Indexes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-52f8d091-e066-4513-b677-7b9060736afa' class='xr-index-data-in' type='checkbox'/><label for='index-52f8d091-e066-4513-b677-7b9060736afa' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  10.0,   21.0,   33.0,   46.0,   60.0,   75.0,   92.0,  111.0,\n",
+       "               132.0,  155.0,\n",
+       "              ...\n",
+       "              3620.0, 3660.0, 3700.0, 3740.0, 3780.0, 3820.0, 3860.0, 3900.0,\n",
+       "              3940.0, 3980.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;z&#x27;, length=107))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>zh</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8deb150f-beef-4223-96a2-adabd43c28e2' class='xr-index-data-in' type='checkbox'/><label for='index-8deb150f-beef-4223-96a2-adabd43c28e2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([   0.0,   15.5,   27.0,   39.5,   53.0,   67.5,   83.5,  101.5,\n",
+       "               121.5,  143.5,\n",
+       "              ...\n",
+       "              3640.0, 3680.0, 3720.0, 3760.0, 3800.0, 3840.0, 3880.0, 3920.0,\n",
+       "              3960.0, 4000.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;zh&#x27;, length=108))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>zs</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ad86361c-d745-4ca3-99c5-0353552d1f74' class='xr-index-data-in' type='checkbox'/><label for='index-ad86361c-d745-4ca3-99c5-0353552d1f74' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ -1.8899999856948853,  -0.7200000286102295, -0.20999999344348907,\n",
+       "              -0.07000000029802322],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;zs&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>zsh</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7c9b09ad-b6ae-4ec0-91e3-71b5a387096a' class='xr-index-data-in' type='checkbox'/><label for='index-7c9b09ad-b6ae-4ec0-91e3-71b5a387096a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  -2.619999885559082,  -1.1600000858306885,  -0.2799999713897705,\n",
+       "              -0.14000000059604645,                  0.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;zsh&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>sample</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4ffce7a8-57b7-48f2-a38d-a21bf39f4066' class='xr-index-data-in' type='checkbox'/><label for='index-4ffce7a8-57b7-48f2-a38d-a21bf39f4066' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;default&#x27;, &#x27;ql&#x27;, &#x27;qlcore&#x27;], dtype=&#x27;object&#x27;, name=&#x27;sample&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>NC</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-717cd509-a766-430b-93ff-4e0cd3650bfd' class='xr-index-data-in' type='checkbox'/><label for='index-717cd509-a766-430b-93ff-4e0cd3650bfd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([10, 50, 80, 100, 200, 400, 600, 800], dtype=&#x27;int64&#x27;, name=&#x27;NC&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-da05da49-86e0-4b83-b908-76f0d2ea6ba7' class='xr-index-data-in' type='checkbox'/><label for='index-da05da49-86e0-4b83-b908-76f0d2ea6ba7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2016-06-11 12:00:00&#x27;, &#x27;2016-06-11 12:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 13:00:00&#x27;, &#x27;2016-06-11 13:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 14:00:00&#x27;, &#x27;2016-06-11 14:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 15:00:00&#x27;, &#x27;2016-06-11 15:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 16:00:00&#x27;, &#x27;2016-06-11 16:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 17:00:00&#x27;, &#x27;2016-06-11 17:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 18:00:00&#x27;, &#x27;2016-06-11 18:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 19:00:00&#x27;, &#x27;2016-06-11 19:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 20:00:00&#x27;, &#x27;2016-06-11 20:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 21:00:00&#x27;, &#x27;2016-06-11 21:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 22:00:00&#x27;, &#x27;2016-06-11 22:30:00&#x27;,\n",
+       "               &#x27;2016-06-11 23:00:00&#x27;, &#x27;2016-06-11 23:30:00&#x27;,\n",
+       "               &#x27;2016-06-12 00:00:00&#x27;, &#x27;2016-06-12 00:30:00&#x27;,\n",
+       "               &#x27;2016-06-12 01:00:00&#x27;, &#x27;2016-06-12 01:30:00&#x27;,\n",
+       "               &#x27;2016-06-12 02:00:00&#x27;, &#x27;2016-06-12 02:30:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;30T&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8208996e-2b03-4a58-8c36-3c5c32a006b9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8208996e-2b03-4a58-8c36-3c5c32a006b9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:               (z: 107, zh: 108, zs: 4, zsh: 5, sample: 3, NC: 8,\n",
+       "                           time: 30, lev: 141)\n",
+       "Coordinates:\n",
+       "  * z                     (z) float32 10.0 21.0 33.0 ... 3.94e+03 3.98e+03\n",
+       "  * zh                    (zh) float32 0.0 15.5 27.0 ... 3.92e+03 3.96e+03 4e+03\n",
+       "  * zs                    (zs) float32 -1.89 -0.72 -0.21 -0.07\n",
+       "  * zsh                   (zsh) float32 -2.62 -1.16 -0.28 -0.14 0.0\n",
+       "  * sample                (sample) object 'default' 'ql' 'qlcore'\n",
+       "  * NC                    (NC) int64 10 50 80 100 200 400 600 800\n",
+       "  * time                  (time) datetime64[ns] 2016-06-11T12:00:00 ... 2016-...\n",
+       "Dimensions without coordinates: lev\n",
+       "Data variables: (12/141)\n",
+       "    p_rad                 (time, NC, sample, lev) float32 9.645e+04 ... 3.53\n",
+       "    iter                  (time, NC, sample) float64 1.738e+05 ... 2.484e+05\n",
+       "    area                  (time, NC, sample, z) float32 1.0 1.0 1.0 ... 0.0 0.0\n",
+       "    areah                 (time, NC, sample, zh) float32 1.0 1.0 1.0 ... 0.0 0.0\n",
+       "    u                     (time, NC, sample, z) float32 -0.09499 ... nan\n",
+       "    u_3                   (time, NC, sample, z) float32 -0.001409 ... nan\n",
+       "    ...                    ...\n",
+       "    sw_flux_dn_ref        (time, NC, sample, lev) float32 132.0 135.4 ... 0.6207\n",
+       "    sw_flux_dn_dir_ref    (time, NC, sample, lev) float32 105.2 109.1 ... 0.6207\n",
+       "    lw_flux_up_ref        (time, NC, sample, lev) float32 476.5 465.4 ... 282.1\n",
+       "    lw_flux_dn_ref        (time, NC, sample, lev) float32 386.1 359.6 ... 0.0\n",
+       "    sza                   (time, NC, sample) float32 1.39 1.39 ... 1.743 1.743\n",
+       "    sw_flux_dn_toa        (time, NC, sample) float32 236.5 236.5 ... 0.6207"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "prof"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "  min-width: 300px;\n",
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+       "\n",
+       ".xr-text-repr-fallback {\n",
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+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
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+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:  (zh: 108)\n",
+       "Coordinates:\n",
+       "  * zh       (zh) float32 0.0 15.5 27.0 39.5 ... 3.92e+03 3.96e+03 4e+03\n",
+       "    sample   &lt;U7 &#x27;default&#x27;\n",
+       "    NC       int64 100\n",
+       "    time     datetime64[ns] 2016-06-11T22:00:00\n",
+       "Data variables:\n",
+       "    qt_w     (zh) float32 0.0 1.063e-05 1.896e-05 ... -8.208e-07 -7.689e-07\n",
+       "    qt_diff  (zh) float32 0.0001169 0.0001104 0.0001019 ... 1.185e-05 1.072e-05</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7f1c00ab-a6e5-4bb0-9e44-8dc79636c9a0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7f1c00ab-a6e5-4bb0-9e44-8dc79636c9a0' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>zh</span>: 108</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-06a1115a-8d37-4b1c-9825-7bdd9b13cbce' class='xr-section-summary-in' type='checkbox'  checked><label for='section-06a1115a-8d37-4b1c-9825-7bdd9b13cbce' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>zh</span></div><div class='xr-var-dims'>(zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 15.5 27.0 ... 3.96e+03 4e+03</div><input id='attrs-cb10def2-8538-4464-944f-9bca47443e6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb10def2-8538-4464-944f-9bca47443e6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6e383a9-9ca3-4b0d-8fac-ca40785c4af9' class='xr-var-data-in' type='checkbox'><label for='data-f6e383a9-9ca3-4b0d-8fac-ca40785c4af9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Half level height</dd></dl></div><div class='xr-var-data'><pre>array([   0. ,   15.5,   27. ,   39.5,   53. ,   67.5,   83.5,  101.5,  121.5,\n",
+       "        143.5,  167.5,  193.5,  222. ,  252. ,  283.5,  320. ,  360. ,  400. ,\n",
+       "        440. ,  480. ,  520. ,  560. ,  600. ,  640. ,  680. ,  720. ,  760. ,\n",
+       "        800. ,  840. ,  880. ,  920. ,  960. , 1000. , 1040. , 1080. , 1120. ,\n",
+       "       1160. , 1200. , 1240. , 1280. , 1320. , 1360. , 1400. , 1440. , 1480. ,\n",
+       "       1520. , 1560. , 1600. , 1640. , 1680. , 1720. , 1760. , 1800. , 1840. ,\n",
+       "       1880. , 1920. , 1960. , 2000. , 2040. , 2080. , 2120. , 2160. , 2200. ,\n",
+       "       2240. , 2280. , 2320. , 2360. , 2400. , 2440. , 2480. , 2520. , 2560. ,\n",
+       "       2600. , 2640. , 2680. , 2720. , 2760. , 2800. , 2840. , 2880. , 2920. ,\n",
+       "       2960. , 3000. , 3040. , 3080. , 3120. , 3160. , 3200. , 3240. , 3280. ,\n",
+       "       3320. , 3360. , 3400. , 3440. , 3480. , 3520. , 3560. , 3600. , 3640. ,\n",
+       "       3680. , 3720. , 3760. , 3800. , 3840. , 3880. , 3920. , 3960. , 4000. ],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sample</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;default&#x27;</div><input id='attrs-de5599b8-51c2-4b66-986e-c1543f505c05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de5599b8-51c2-4b66-986e-c1543f505c05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bc33a73-2829-46f2-804a-8a94befd5fd5' class='xr-var-data-in' type='checkbox'><label for='data-0bc33a73-2829-46f2-804a-8a94befd5fd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;default&#x27;, dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NC</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>100</div><input id='attrs-db57e80e-ca0b-487b-b43a-1deee8ee09cb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-db57e80e-ca0b-487b-b43a-1deee8ee09cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5887bda9-f4c8-4fbb-a738-66df4ca20434' class='xr-var-data-in' type='checkbox'><label for='data-5887bda9-f4c8-4fbb-a738-66df4ca20434' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(100)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2016-06-11T22:00:00</div><input id='attrs-e7985c1f-fbf1-4d2a-91e6-29b451609585' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e7985c1f-fbf1-4d2a-91e6-29b451609585' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5828734-b48b-41e8-8d7c-2fe48000d447' class='xr-var-data-in' type='checkbox'><label for='data-b5828734-b48b-41e8-8d7c-2fe48000d447' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2016-06-11T22:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c707e07d-39e8-4746-8116-903b9eeba9bf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c707e07d-39e8-4746-8116-903b9eeba9bf' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>qt_w</span></div><div class='xr-var-dims'>(zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1.063e-05 ... -7.689e-07</div><input id='attrs-ba0a7f2e-610e-44c9-bae1-1f4e512038a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba0a7f2e-610e-44c9-bae1-1f4e512038a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05d5881d-7f08-4b55-8192-7c69cfff10ad' class='xr-var-data-in' type='checkbox'><label for='data-05d5881d-7f08-4b55-8192-7c69cfff10ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Turbulent flux of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([ 0.00000000e+00,  1.06336402e-05,  1.89573275e-05,  2.93002904e-05,\n",
+       "        4.07600928e-05,  5.29791832e-05,  6.55770200e-05,  7.75086883e-05,\n",
+       "        8.77126222e-05,  9.56460135e-05,  1.01437450e-04,  1.05531282e-04,\n",
+       "        1.08513072e-04,  1.10333960e-04,  1.11617606e-04,  1.12837668e-04,\n",
+       "        1.13830145e-04,  1.14665345e-04,  1.15116738e-04,  1.15244729e-04,\n",
+       "        1.15237402e-04,  1.15218230e-04,  1.15220348e-04,  1.15252529e-04,\n",
+       "        1.15312985e-04,  1.15272742e-04,  1.14968221e-04,  1.14437229e-04,\n",
+       "        1.13874004e-04,  1.13415394e-04,  1.13116694e-04,  1.12926449e-04,\n",
+       "        1.12732778e-04,  1.12415721e-04,  1.11990630e-04,  1.11539615e-04,\n",
+       "        1.10972825e-04,  1.10261812e-04,  1.09470486e-04,  1.08743807e-04,\n",
+       "        1.08207932e-04,  1.07908410e-04,  1.07838503e-04,  1.07848253e-04,\n",
+       "        1.07656728e-04,  1.06881351e-04,  1.05356034e-04,  1.03296981e-04,\n",
+       "        1.00969475e-04,  9.85318038e-05,  9.57253578e-05,  9.24270062e-05,\n",
+       "        8.85496192e-05,  8.40599168e-05,  7.97730099e-05,  7.62462514e-05,\n",
+       "        7.38520903e-05,  7.20979078e-05,  6.94374539e-05,  6.56484262e-05,\n",
+       "        6.17914484e-05,  5.75082086e-05,  5.28662385e-05,  4.87897814e-05,\n",
+       "        4.54656802e-05,  4.12300251e-05,  3.63649160e-05,  3.26971822e-05,\n",
+       "        3.02371991e-05,  2.86072827e-05,  2.65054841e-05,  2.31614304e-05,\n",
+       "        1.98892067e-05,  1.63594723e-05,  1.22447900e-05,  8.00818361e-06,\n",
+       "        4.48398532e-06,  1.93172264e-06,  6.36483321e-07,  3.88347729e-07,\n",
+       "        1.43340048e-06,  1.79178085e-06,  1.92372295e-06,  2.48713718e-06,\n",
+       "        2.96843814e-06,  2.62561571e-06,  2.39024234e-06,  2.78291168e-06,\n",
+       "        3.10404994e-06,  2.68359713e-06,  2.29818215e-06,  2.31993977e-06,\n",
+       "        2.30293472e-06,  2.21121923e-06,  2.31861850e-06,  2.28464182e-06,\n",
+       "        1.90336016e-06,  1.32962816e-06,  1.00990701e-06,  8.67277322e-07,\n",
+       "        7.11611222e-07,  5.89370245e-07,  3.35678806e-07, -2.25264998e-07,\n",
+       "       -6.89159208e-07, -7.86566773e-07, -8.20826415e-07, -7.68946677e-07],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qt_diff</span></div><div class='xr-var-dims'>(zh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0001169 0.0001104 ... 1.072e-05</div><input id='attrs-4180dd30-ab4f-4798-a7a1-02c472c9a66e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4180dd30-ab4f-4798-a7a1-02c472c9a66e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e78a3ae-8de4-4cf4-a6cc-974de2db3f30' class='xr-var-data-in' type='checkbox'><label for='data-7e78a3ae-8de4-4cf4-a6cc-974de2db3f30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg kg-1 m s-1</dd><dt><span>long_name :</span></dt><dd>Diffusive flux of the Total water mixing ratio</dd></dl></div><div class='xr-var-data'><pre>array([1.16919524e-04, 1.10382651e-04, 1.01852107e-04, 9.12145697e-05,\n",
+       "       7.93899017e-05, 6.67485219e-05, 5.36923762e-05, 4.13004454e-05,\n",
+       "       3.06516195e-05, 2.23285624e-05, 1.62354845e-05, 1.19234328e-05,\n",
+       "       8.77922230e-06, 6.86213343e-06, 5.54027974e-06, 4.37171138e-06,\n",
+       "       3.55010002e-06, 2.86321369e-06, 2.35697439e-06, 1.98640032e-06,\n",
+       "       1.72451564e-06, 1.54468319e-06, 1.42305998e-06, 1.32999310e-06,\n",
+       "       1.27586543e-06, 1.25291888e-06, 1.24419250e-06, 1.24622693e-06,\n",
+       "       1.24102246e-06, 1.20426000e-06, 1.14766135e-06, 1.10328745e-06,\n",
+       "       1.11352188e-06, 1.17647153e-06, 1.22647668e-06, 1.26431371e-06,\n",
+       "       1.30449791e-06, 1.35208711e-06, 1.39541783e-06, 1.38653513e-06,\n",
+       "       1.36430333e-06, 1.37508277e-06, 1.44311127e-06, 1.54529550e-06,\n",
+       "       1.66529696e-06, 1.84677026e-06, 2.02386468e-06, 2.11752945e-06,\n",
+       "       2.04431944e-06, 1.97025201e-06, 1.97553595e-06, 2.03326590e-06,\n",
+       "       2.31632998e-06, 2.64319806e-06, 3.02139688e-06, 3.72016416e-06,\n",
+       "       4.55033796e-06, 5.03488673e-06, 5.03598176e-06, 5.00476699e-06,\n",
+       "       4.62926209e-06, 4.46577542e-06, 4.07101606e-06, 3.84759733e-06,\n",
+       "       4.05422452e-06, 4.29214651e-06, 4.86747740e-06, 5.95568645e-06,\n",
+       "       7.51209382e-06, 8.85653299e-06, 1.11893705e-05, 1.40262855e-05,\n",
+       "       1.66818227e-05, 1.98941561e-05, 2.34154231e-05, 2.75152215e-05,\n",
+       "       3.12918928e-05, 3.43053871e-05, 3.66522108e-05, 3.79863013e-05,\n",
+       "       3.86908432e-05, 4.02458973e-05, 4.18682175e-05, 4.28836320e-05,\n",
+       "       4.31522531e-05, 4.31957706e-05, 4.26979095e-05, 4.13078269e-05,\n",
+       "       3.94162780e-05, 3.81177670e-05, 3.66438617e-05, 3.48653302e-05,\n",
+       "       3.28484275e-05, 3.04962250e-05, 2.80645472e-05, 2.58403325e-05,\n",
+       "       2.39039418e-05, 2.22100662e-05, 2.07647536e-05, 1.94432723e-05,\n",
+       "       1.82910790e-05, 1.72045002e-05, 1.62525012e-05, 1.53473356e-05,\n",
+       "       1.43196557e-05, 1.30856351e-05, 1.18525968e-05, 1.07170563e-05],\n",
+       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-58296cba-0113-4ee2-871a-67e1abf73ea8' class='xr-section-summary-in' type='checkbox'  ><label for='section-58296cba-0113-4ee2-871a-67e1abf73ea8' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>zh</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-957900dd-510c-409e-9fb8-d05fd21e5320' class='xr-index-data-in' type='checkbox'/><label for='index-957900dd-510c-409e-9fb8-d05fd21e5320' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([   0.0,   15.5,   27.0,   39.5,   53.0,   67.5,   83.5,  101.5,\n",
+       "               121.5,  143.5,\n",
+       "              ...\n",
+       "              3640.0, 3680.0, 3720.0, 3760.0, 3800.0, 3840.0, 3880.0, 3920.0,\n",
+       "              3960.0, 4000.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;zh&#x27;, length=108))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-16d6d966-716d-4625-bbef-5737831832ef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-16d6d966-716d-4625-bbef-5737831832ef' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (zh: 108)\n",
+       "Coordinates:\n",
+       "  * zh       (zh) float32 0.0 15.5 27.0 39.5 ... 3.92e+03 3.96e+03 4e+03\n",
+       "    sample   <U7 'default'\n",
+       "    NC       int64 100\n",
+       "    time     datetime64[ns] 2016-06-11T22:00:00\n",
+       "Data variables:\n",
+       "    qt_w     (zh) float32 0.0 1.063e-05 1.896e-05 ... -8.208e-07 -7.689e-07\n",
+       "    qt_diff  (zh) float32 0.0001169 0.0001104 0.0001019 ... 1.185e-05 1.072e-05"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "prof.sel(sample='default', NC=100, time=\"2016-06-11T22:00\")[['qt_w', 'qt_diff']]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f7604c2b3a0>]"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "prof.sel(sample='default', NC=100, time=\"2016-06-11T22:00\").qt_w.plot(y='zh')\n",
+    "prof.sel(sample='default', NC=100, time=\"2016-06-11T22:00\").qt_diff.plot(y='zh')\n",
+    "prof.sel(sample='default', NC=100, time=\"2016-06-11T22:00\").qt_flux.plot(y='zh')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f76046334c0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7604662ef0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7604662da0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7604662ce0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7604662fb0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f76046630d0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f76046631f0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7604663310>]"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "prof.sel(sample='default').ql_cover.plot(x='time', hue='NC')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f7fc04b8e50>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc04b8df0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc04b9000>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc04b9120>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc04b9240>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc04b9360>,\n",
+       " <matplotlib.lines.Line2D at 0x7f7fc04b9480>]"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure()\n",
+    "prof.sel(sample='default', time=\"2016-06-11T22:00\").qt_flux.plot(y='zh', hue='NC')\n",
+    "\n",
+    "plt.figure()\n",
+    "prof.sel(sample='default', time=\"2016-06-11T22:00\").thl_flux.plot(y='zh', hue='NC')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "python3-default",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 5bdb7770c587d5a8d41c04479920fafc813b9dc0 Mon Sep 17 00:00:00 2001
From: mgrover1 <mgroverwx@gmail.com>
Date: Fri, 17 May 2024 09:44:10 -0500
Subject: [PATCH 2/3] FIX: Fix missing headers and table of contents

---
 _toc.yml                                |  1 +
 tutorials/microhh/analyze_microhh.ipynb | 48 ++++++++++++++++++++-----
 2 files changed, 41 insertions(+), 8 deletions(-)

diff --git a/_toc.yml b/_toc.yml
index 7dcfccc..c403d01 100644
--- a/_toc.yml
+++ b/_toc.yml
@@ -32,3 +32,4 @@ parts:
         - file: tutorials/xarray/xwrf-xarray-intro
         - file: tutorials/comble/comble-mip-tutorial
         - file: tutorials/emc2/InstrumentSimulatorsForModelEvaluation.ipynb
+        - file: tutorials/microhh/analyze_microhh
diff --git a/tutorials/microhh/analyze_microhh.ipynb b/tutorials/microhh/analyze_microhh.ipynb
index 3a557d5..11fa5f0 100644
--- a/tutorials/microhh/analyze_microhh.ipynb
+++ b/tutorials/microhh/analyze_microhh.ipynb
@@ -1,5 +1,21 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Analyze microhh LES data\n",
+    "\n",
+    "In this notebook, we will analyze data from the [microhh model](https://microhh.org/), simulating a case near the Southern Great Plains."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Imports"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -14,6 +30,13 @@
     "import netCDF4 as nc"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Find the Data"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 3,
@@ -26,6 +49,13 @@
     "NC_arr = [10, 50, 80, 100, 200, 400, 800]\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Configure some helper functions"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 4,
@@ -73,6 +103,13 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Run through the Analysis"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 5,
@@ -13270,11 +13307,6 @@
     "prof.sel(sample='default').ql_cover.plot(x='time', hue='NC')\n"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": 79,
@@ -13335,7 +13367,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "python3-default",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -13349,9 +13381,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }

From dca04ad24c516479eaa4ef44b5105ac3ae7c3bee Mon Sep 17 00:00:00 2001
From: mgrover1 <mgroverwx@gmail.com>
Date: Fri, 17 May 2024 09:49:06 -0500
Subject: [PATCH 3/3] FIX: Fix incorrect jupyterhub info

---
 preliminary/checklist_index.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/preliminary/checklist_index.md b/preliminary/checklist_index.md
index f5ccf43..489d489 100644
--- a/preliminary/checklist_index.md
+++ b/preliminary/checklist_index.md
@@ -60,8 +60,8 @@ When filling out the form, be sure to complete the entries as follows:
 * **Visitor Role**: *Collaborator*
 * **Resources**: *ARM Data Center Enhanced Jupyterhub Access*
 * **Justification**: *Participation in the ARM Summer School*
-* **Start Date**: *Today's date*
-* **End Date**: *1 year from today's date*
+* **Start Date**: May 19
+* **End Date**: May 24
 
 
 ### Git