GLORYS_Lee.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1df62f37-e43c-4f83-9107-5cebfdbacca9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np  # numerical library\n",
    "import xarray as xr  # netCDF library\n",
    "\n",
    "import matplotlib.pyplot as plt  # plotting library\n",
    "import cartopy  # Map projections libary\n",
    "import cartopy.crs as ccrs  # Projections list\n",
    "\n",
    "import cftime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f793e5e4-9b74-44d0-b7c7-ac69cfe73851",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Some defaults:\n",
    "plt.rcParams['figure.figsize'] = (12, 5)  # Default plot size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4eb855b5-d1a2-4ea6-80a1-1ce1277be1d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_dir='/data/shareddata/Climatologias/Glorys/cmems_mod_glo_phy_my_0.083_P1M-m/NC/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2132fa6f-c131-4258-aedb-2660613be4fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "files = []\n",
    "for iy in range(2000,2021):\n",
    "    for im in range(1,13):\n",
    "        files.append(data_dir+\"mercatorglorys12v1_gl12_mean_%04d%02d.nc\"%(iy,im))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c48e104c-74f0-42da-b07f-59e2c92d6adb",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = xr.open_mfdataset(files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "93a57697-c09c-4416-afad-8a3c73e84140",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --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",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  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",
       "}\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; Size: 4TB\n",
       "Dimensions:    (longitude: 4320, latitude: 2041, depth: 50, time: 252)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 17kB -180.0 -179.9 -179.8 ... 179.8 179.9\n",
       "  * latitude   (latitude) float32 8kB -80.0 -79.92 -79.83 ... 89.83 89.92 90.0\n",
       "  * depth      (depth) float32 200B 0.494 1.541 2.646 ... 5.275e+03 5.728e+03\n",
       "  * time       (time) datetime64[ns] 2kB 2000-01-16T12:00:00 ... 2020-12-16T1...\n",
       "Data variables:\n",
       "    mlotst     (time, latitude, longitude) float64 18GB dask.array&lt;chunksize=(1, 681, 1440), meta=np.ndarray&gt;\n",
       "    zos        (time, latitude, longitude) float64 18GB dask.array&lt;chunksize=(1, 681, 1440), meta=np.ndarray&gt;\n",
       "    bottomT    (time, latitude, longitude) float64 18GB dask.array&lt;chunksize=(1, 681, 1440), meta=np.ndarray&gt;\n",
       "    sithick    (time, latitude, longitude) float64 18GB dask.array&lt;chunksize=(1, 681, 1440), meta=np.ndarray&gt;\n",
       "    siconc     (time, latitude, longitude) float64 18GB dask.array&lt;chunksize=(1, 681, 1440), meta=np.ndarray&gt;\n",
       "    usi        (time, latitude, longitude) float64 18GB dask.array&lt;chunksize=(1, 681, 1440), meta=np.ndarray&gt;\n",
       "    vsi        (time, latitude, longitude) float64 18GB dask.array&lt;chunksize=(1, 681, 1440), meta=np.ndarray&gt;\n",
       "    thetao     (time, depth, latitude, longitude) float64 889GB dask.array&lt;chunksize=(1, 7, 341, 720), meta=np.ndarray&gt;\n",
       "    so         (time, depth, latitude, longitude) float64 889GB dask.array&lt;chunksize=(1, 7, 341, 720), meta=np.ndarray&gt;\n",
       "    uo         (time, depth, latitude, longitude) float64 889GB dask.array&lt;chunksize=(1, 7, 341, 720), meta=np.ndarray&gt;\n",
       "    vo         (time, depth, latitude, longitude) float64 889GB dask.array&lt;chunksize=(1, 7, 341, 720), meta=np.ndarray&gt;\n",
       "Attributes: (12/14)\n",
       "    title:                         Monthly mean fields for product GLOBAL_REA...\n",
       "    references:                    http://marine.copernicus.eu\n",
       "    credit:                        E.U. Copernicus Marine Service Information...\n",
       "    licence:                       http://marine.copernicus.eu/services-portf...\n",
       "    contact:                       servicedesk.cmems@mercator-ocean.eu\n",
       "    producer:                      CMEMS - Global Monitoring and Forecasting ...\n",
       "    ...                            ...\n",
       "    area:                          GLOBAL\n",
       "    product:                       GLOBAL_REANALYSIS_001_030\n",
       "    dataset:                       global-reanalysis-001-030-monthly\n",
       "    source:                        MERCATOR GLORYS12V1\n",
       "    product_user_manual:           http://marine.copernicus.eu/documents/PUM/...\n",
       "    quality_information_document:  http://marine.copernicus.eu/documents/QUID...</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-7732cff1-73b4-427e-8efe-2a33c9e13cf6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7732cff1-73b4-427e-8efe-2a33c9e13cf6' 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'>longitude</span>: 4320</li><li><span class='xr-has-index'>latitude</span>: 2041</li><li><span class='xr-has-index'>depth</span>: 50</li><li><span class='xr-has-index'>time</span>: 252</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2224c64b-1857-4cf5-894a-a833a238b02f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2224c64b-1857-4cf5-894a-a833a238b02f' 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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.8 179.9</div><input id='attrs-aefd17be-d7a2-4ce1-bb72-ca8deba31082' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aefd17be-d7a2-4ce1-bb72-ca8deba31082' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-927d3850-32ab-4bb2-827f-f1a1d0c709d4' class='xr-var-data-in' type='checkbox'><label for='data-927d3850-32ab-4bb2-827f-f1a1d0c709d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>179.91667</dd><dt><span>step :</span></dt><dd>0.08332825</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>unit_long :</span></dt><dd>Degrees East</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-180.     , -179.91667, -179.83333, ...,  179.75   ,  179.83333,\n",
       "        179.91667], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-80.0 -79.92 -79.83 ... 89.92 90.0</div><input id='attrs-742c0937-af44-4ace-9677-998300da1a25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-742c0937-af44-4ace-9677-998300da1a25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b16f56f-4e4e-4381-8d6b-5cd2d6cf49e4' class='xr-var-data-in' type='checkbox'><label for='data-9b16f56f-4e4e-4381-8d6b-5cd2d6cf49e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>valid_min :</span></dt><dd>-80.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>step :</span></dt><dd>0.08333588</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>unit_long :</span></dt><dd>Degrees North</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-80.      , -79.916664, -79.833336, ...,  89.833336,  89.916664,\n",
       "        90.      ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>depth</span></div><div class='xr-var-dims'>(depth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.494 1.541 ... 5.275e+03 5.728e+03</div><input id='attrs-eaf7eeb3-2b33-494e-a208-bdb6a5aab26d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eaf7eeb3-2b33-494e-a208-bdb6a5aab26d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd007694-60f7-4741-9072-738a09d1191a' class='xr-var-data-in' type='checkbox'><label for='data-bd007694-60f7-4741-9072-738a09d1191a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>valid_min :</span></dt><dd>0.494025</dd><dt><span>valid_max :</span></dt><dd>5727.917</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>unit_long :</span></dt><dd>Meters</dd><dt><span>long_name :</span></dt><dd>Depth</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([4.940250e-01, 1.541375e+00, 2.645669e+00, 3.819495e+00, 5.078224e+00,\n",
       "       6.440614e+00, 7.929560e+00, 9.572997e+00, 1.140500e+01, 1.346714e+01,\n",
       "       1.581007e+01, 1.849556e+01, 2.159882e+01, 2.521141e+01, 2.944473e+01,\n",
       "       3.443415e+01, 4.034405e+01, 4.737369e+01, 5.576429e+01, 6.580727e+01,\n",
       "       7.785385e+01, 9.232607e+01, 1.097293e+02, 1.306660e+02, 1.558507e+02,\n",
       "       1.861256e+02, 2.224752e+02, 2.660403e+02, 3.181274e+02, 3.802130e+02,\n",
       "       4.539377e+02, 5.410889e+02, 6.435668e+02, 7.633331e+02, 9.023393e+02,\n",
       "       1.062440e+03, 1.245291e+03, 1.452251e+03, 1.684284e+03, 1.941893e+03,\n",
       "       2.225078e+03, 2.533336e+03, 2.865703e+03, 3.220820e+03, 3.597032e+03,\n",
       "       3.992484e+03, 4.405224e+03, 4.833291e+03, 5.274784e+03, 5.727917e+03],\n",
       "      dtype=float32)</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'>2000-01-16T12:00:00 ... 2020-12-...</div><input id='attrs-ee0588cf-67f0-4775-a3bf-b2c98ca8acb7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee0588cf-67f0-4775-a3bf-b2c98ca8acb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-330c02bc-3b89-480c-b3a1-794df128f75a' class='xr-var-data-in' type='checkbox'><label for='data-330c02bc-3b89-480c-b3a1-794df128f75a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time (hours since 1950-01-01)</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-16T12:00:00.000000000&#x27;, &#x27;2000-02-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-16T12:00:00.000000000&#x27;, ..., &#x27;2020-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2020-11-16T00:00:00.000000000&#x27;, &#x27;2020-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d6799aab-d2a6-43da-82fc-b023fed4bbb3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d6799aab-d2a6-43da-82fc-b023fed4bbb3' class='xr-section-summary' >Data variables: <span>(11)</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>mlotst</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 681, 1440), meta=np.ndarray&gt;</div><input id='attrs-6229e815-8f1b-4b6c-9e5c-670682e705d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6229e815-8f1b-4b6c-9e5c-670682e705d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f33556a2-90dd-4dda-af30-1dbad1e26796' class='xr-var-data-in' type='checkbox'><label for='data-f33556a2-90dd-4dda-af30-1dbad1e26796' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Density ocean mixed layer thickness</dd><dt><span>standard_name :</span></dt><dd>ocean_mixed_layer_thickness_defined_by_sigma_theta</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>unit_long :</span></dt><dd>Meters</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>valid_max :</span></dt><dd>8881</dd><dt><span>cell_methods :</span></dt><dd>area: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16.55 GiB </td>\n",
       "                        <td> 7.48 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (252, 2041, 4320) </td>\n",
       "                        <td> (1, 681, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4032 chunks in 757 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"200\" height=\"127\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"30\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"18\" x2=\"30\" y2=\"39\" />\n",
       "  <line x1=\"10\" y1=\"28\" x2=\"30\" y2=\"49\" />\n",
       "  <line x1=\"10\" y1=\"37\" x2=\"30\" y2=\"58\" />\n",
       "  <line x1=\"10\" y1=\"56\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"57\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"58\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"59\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"61\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"62\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"63\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"17\" y2=\"64\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"65\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"66\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"67\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"68\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"69\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"70\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"71\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"73\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"74\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"75\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"29\" y2=\"76\" />\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 30.84805948652768,20.84805948652768 30.84805948652768,77.54250393097213 10.0,56.69444444444445\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"137\" y2=\"7\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"147\" y2=\"17\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"149\" y2=\"19\" />\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"30\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"70\" y2=\"20\" />\n",
       "  <line x1=\"70\" y1=\"0\" x2=\"90\" y2=\"20\" />\n",
       "  <line x1=\"90\" y1=\"0\" x2=\"110\" y2=\"20\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 150.8480594865277,20.84805948652768 30.84805948652768,20.84805948652768\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"30\" y1=\"39\" x2=\"150\" y2=\"39\" />\n",
       "  <line x1=\"30\" y1=\"49\" x2=\"150\" y2=\"49\" />\n",
       "  <line x1=\"30\" y1=\"58\" x2=\"150\" y2=\"58\" />\n",
       "  <line x1=\"30\" y1=\"77\" x2=\"150\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"70\" y1=\"20\" x2=\"70\" y2=\"77\" />\n",
       "  <line x1=\"90\" y1=\"20\" x2=\"90\" y2=\"77\" />\n",
       "  <line x1=\"110\" y1=\"20\" x2=\"110\" y2=\"77\" />\n",
       "  <line x1=\"150\" y1=\"20\" x2=\"150\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"30.84805948652768,20.84805948652768 150.8480594865277,20.84805948652768 150.8480594865277,77.54250393097213 30.84805948652768,77.54250393097213\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"90.848059\" y=\"97.542504\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
       "  <text x=\"170.848059\" y=\"49.195282\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,170.848059,49.195282)\">2041</text>\n",
       "  <text x=\"10.424030\" y=\"87.118474\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,10.424030,87.118474)\">252</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zos</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 681, 1440), meta=np.ndarray&gt;</div><input id='attrs-7020b1c6-d4c4-47b7-a9d3-0600a21d8b8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7020b1c6-d4c4-47b7-a9d3-0600a21d8b8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c63068dd-1ce6-4956-880f-e8ba66584735' class='xr-var-data-in' type='checkbox'><label for='data-c63068dd-1ce6-4956-880f-e8ba66584735' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea surface height</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_geoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>unit_long :</span></dt><dd>Meters</dd><dt><span>valid_min :</span></dt><dd>-6382</dd><dt><span>valid_max :</span></dt><dd>4883</dd><dt><span>cell_methods :</span></dt><dd>area: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16.55 GiB </td>\n",
       "                        <td> 7.48 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (252, 2041, 4320) </td>\n",
       "                        <td> (1, 681, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4032 chunks in 757 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"200\" height=\"127\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"30\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"18\" x2=\"30\" y2=\"39\" />\n",
       "  <line x1=\"10\" y1=\"28\" x2=\"30\" y2=\"49\" />\n",
       "  <line x1=\"10\" y1=\"37\" x2=\"30\" y2=\"58\" />\n",
       "  <line x1=\"10\" y1=\"56\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"57\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"58\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"59\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"61\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"62\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"63\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"17\" y2=\"64\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"65\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"66\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"67\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"68\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"69\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"70\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"71\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"73\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"74\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"75\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"29\" y2=\"76\" />\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 30.84805948652768,20.84805948652768 30.84805948652768,77.54250393097213 10.0,56.69444444444445\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"137\" y2=\"7\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"147\" y2=\"17\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"149\" y2=\"19\" />\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"30\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"70\" y2=\"20\" />\n",
       "  <line x1=\"70\" y1=\"0\" x2=\"90\" y2=\"20\" />\n",
       "  <line x1=\"90\" y1=\"0\" x2=\"110\" y2=\"20\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 150.8480594865277,20.84805948652768 30.84805948652768,20.84805948652768\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"30\" y1=\"39\" x2=\"150\" y2=\"39\" />\n",
       "  <line x1=\"30\" y1=\"49\" x2=\"150\" y2=\"49\" />\n",
       "  <line x1=\"30\" y1=\"58\" x2=\"150\" y2=\"58\" />\n",
       "  <line x1=\"30\" y1=\"77\" x2=\"150\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"70\" y1=\"20\" x2=\"70\" y2=\"77\" />\n",
       "  <line x1=\"90\" y1=\"20\" x2=\"90\" y2=\"77\" />\n",
       "  <line x1=\"110\" y1=\"20\" x2=\"110\" y2=\"77\" />\n",
       "  <line x1=\"150\" y1=\"20\" x2=\"150\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"30.84805948652768,20.84805948652768 150.8480594865277,20.84805948652768 150.8480594865277,77.54250393097213 30.84805948652768,77.54250393097213\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"90.848059\" y=\"97.542504\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
       "  <text x=\"170.848059\" y=\"49.195282\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,170.848059,49.195282)\">2041</text>\n",
       "  <text x=\"10.424030\" y=\"87.118474\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,10.424030,87.118474)\">252</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bottomT</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 681, 1440), meta=np.ndarray&gt;</div><input id='attrs-4d66962e-96c7-49ab-b5a8-ecf44fb546d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d66962e-96c7-49ab-b5a8-ecf44fb546d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57228bb6-daa7-4fdd-88a3-6c39f0de9395' class='xr-var-data-in' type='checkbox'><label for='data-57228bb6-daa7-4fdd-88a3-6c39f0de9395' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea floor potential temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature_at_sea_floor</dd><dt><span>units :</span></dt><dd>degrees_C</dd><dt><span>unit_long :</span></dt><dd>Degrees Celsius</dd><dt><span>valid_min :</span></dt><dd>-32639</dd><dt><span>valid_max :</span></dt><dd>18498</dd><dt><span>cell_methods :</span></dt><dd>area: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16.55 GiB </td>\n",
       "                        <td> 7.48 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (252, 2041, 4320) </td>\n",
       "                        <td> (1, 681, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4032 chunks in 757 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"200\" height=\"127\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"30\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"18\" x2=\"30\" y2=\"39\" />\n",
       "  <line x1=\"10\" y1=\"28\" x2=\"30\" y2=\"49\" />\n",
       "  <line x1=\"10\" y1=\"37\" x2=\"30\" y2=\"58\" />\n",
       "  <line x1=\"10\" y1=\"56\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"57\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"58\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"59\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"61\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"62\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"63\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"17\" y2=\"64\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"65\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"66\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"67\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"68\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"69\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"70\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"71\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"73\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"74\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"75\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"29\" y2=\"76\" />\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 30.84805948652768,20.84805948652768 30.84805948652768,77.54250393097213 10.0,56.69444444444445\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"137\" y2=\"7\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"147\" y2=\"17\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"149\" y2=\"19\" />\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"30\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"70\" y2=\"20\" />\n",
       "  <line x1=\"70\" y1=\"0\" x2=\"90\" y2=\"20\" />\n",
       "  <line x1=\"90\" y1=\"0\" x2=\"110\" y2=\"20\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 150.8480594865277,20.84805948652768 30.84805948652768,20.84805948652768\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"30\" y1=\"39\" x2=\"150\" y2=\"39\" />\n",
       "  <line x1=\"30\" y1=\"49\" x2=\"150\" y2=\"49\" />\n",
       "  <line x1=\"30\" y1=\"58\" x2=\"150\" y2=\"58\" />\n",
       "  <line x1=\"30\" y1=\"77\" x2=\"150\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"70\" y1=\"20\" x2=\"70\" y2=\"77\" />\n",
       "  <line x1=\"90\" y1=\"20\" x2=\"90\" y2=\"77\" />\n",
       "  <line x1=\"110\" y1=\"20\" x2=\"110\" y2=\"77\" />\n",
       "  <line x1=\"150\" y1=\"20\" x2=\"150\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"30.84805948652768,20.84805948652768 150.8480594865277,20.84805948652768 150.8480594865277,77.54250393097213 30.84805948652768,77.54250393097213\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"90.848059\" y=\"97.542504\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
       "  <text x=\"170.848059\" y=\"49.195282\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,170.848059,49.195282)\">2041</text>\n",
       "  <text x=\"10.424030\" y=\"87.118474\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,10.424030,87.118474)\">252</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sithick</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 681, 1440), meta=np.ndarray&gt;</div><input id='attrs-9be220de-f8ad-41ec-9106-ee5598a5509f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9be220de-f8ad-41ec-9106-ee5598a5509f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-895c1973-94a9-45ca-ad4d-e9e899dde027' class='xr-var-data-in' type='checkbox'><label for='data-895c1973-94a9-45ca-ad4d-e9e899dde027' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea ice thickness</dd><dt><span>standard_name :</span></dt><dd>sea_ice_thickness</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>unit_long :</span></dt><dd>Meters</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>valid_max :</span></dt><dd>8041</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea_ice</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16.55 GiB </td>\n",
       "                        <td> 7.48 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (252, 2041, 4320) </td>\n",
       "                        <td> (1, 681, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4032 chunks in 757 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"200\" height=\"127\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"30\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"18\" x2=\"30\" y2=\"39\" />\n",
       "  <line x1=\"10\" y1=\"28\" x2=\"30\" y2=\"49\" />\n",
       "  <line x1=\"10\" y1=\"37\" x2=\"30\" y2=\"58\" />\n",
       "  <line x1=\"10\" y1=\"56\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"57\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"58\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"59\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"61\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"62\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"63\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"17\" y2=\"64\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"65\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"66\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"67\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"68\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"69\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"70\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"71\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"73\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"74\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"75\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"29\" y2=\"76\" />\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 30.84805948652768,20.84805948652768 30.84805948652768,77.54250393097213 10.0,56.69444444444445\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"137\" y2=\"7\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"147\" y2=\"17\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"149\" y2=\"19\" />\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"30\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"70\" y2=\"20\" />\n",
       "  <line x1=\"70\" y1=\"0\" x2=\"90\" y2=\"20\" />\n",
       "  <line x1=\"90\" y1=\"0\" x2=\"110\" y2=\"20\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 150.8480594865277,20.84805948652768 30.84805948652768,20.84805948652768\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"30\" y1=\"39\" x2=\"150\" y2=\"39\" />\n",
       "  <line x1=\"30\" y1=\"49\" x2=\"150\" y2=\"49\" />\n",
       "  <line x1=\"30\" y1=\"58\" x2=\"150\" y2=\"58\" />\n",
       "  <line x1=\"30\" y1=\"77\" x2=\"150\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"70\" y1=\"20\" x2=\"70\" y2=\"77\" />\n",
       "  <line x1=\"90\" y1=\"20\" x2=\"90\" y2=\"77\" />\n",
       "  <line x1=\"110\" y1=\"20\" x2=\"110\" y2=\"77\" />\n",
       "  <line x1=\"150\" y1=\"20\" x2=\"150\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"30.84805948652768,20.84805948652768 150.8480594865277,20.84805948652768 150.8480594865277,77.54250393097213 30.84805948652768,77.54250393097213\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"90.848059\" y=\"97.542504\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
       "  <text x=\"170.848059\" y=\"49.195282\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,170.848059,49.195282)\">2041</text>\n",
       "  <text x=\"10.424030\" y=\"87.118474\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,10.424030,87.118474)\">252</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siconc</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 681, 1440), meta=np.ndarray&gt;</div><input id='attrs-f0f88114-180d-4b31-b310-954ffdb01a72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0f88114-180d-4b31-b310-954ffdb01a72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf743cdb-bc86-47bd-99ce-ab998ec3d6c6' class='xr-var-data-in' type='checkbox'><label for='data-bf743cdb-bc86-47bd-99ce-ab998ec3d6c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ice concentration</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>unit_long :</span></dt><dd>Fraction</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>valid_max :</span></dt><dd>28317</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea_ice</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16.55 GiB </td>\n",
       "                        <td> 7.48 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (252, 2041, 4320) </td>\n",
       "                        <td> (1, 681, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4032 chunks in 757 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"200\" height=\"127\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"30\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"18\" x2=\"30\" y2=\"39\" />\n",
       "  <line x1=\"10\" y1=\"28\" x2=\"30\" y2=\"49\" />\n",
       "  <line x1=\"10\" y1=\"37\" x2=\"30\" y2=\"58\" />\n",
       "  <line x1=\"10\" y1=\"56\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"57\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"58\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"59\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"61\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"62\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"63\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"17\" y2=\"64\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"65\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"66\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"67\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"68\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"69\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"70\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"71\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"73\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"74\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"75\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"29\" y2=\"76\" />\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 30.84805948652768,20.84805948652768 30.84805948652768,77.54250393097213 10.0,56.69444444444445\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"137\" y2=\"7\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"147\" y2=\"17\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"149\" y2=\"19\" />\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"30\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"70\" y2=\"20\" />\n",
       "  <line x1=\"70\" y1=\"0\" x2=\"90\" y2=\"20\" />\n",
       "  <line x1=\"90\" y1=\"0\" x2=\"110\" y2=\"20\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 150.8480594865277,20.84805948652768 30.84805948652768,20.84805948652768\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"30\" y1=\"39\" x2=\"150\" y2=\"39\" />\n",
       "  <line x1=\"30\" y1=\"49\" x2=\"150\" y2=\"49\" />\n",
       "  <line x1=\"30\" y1=\"58\" x2=\"150\" y2=\"58\" />\n",
       "  <line x1=\"30\" y1=\"77\" x2=\"150\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"70\" y1=\"20\" x2=\"70\" y2=\"77\" />\n",
       "  <line x1=\"90\" y1=\"20\" x2=\"90\" y2=\"77\" />\n",
       "  <line x1=\"110\" y1=\"20\" x2=\"110\" y2=\"77\" />\n",
       "  <line x1=\"150\" y1=\"20\" x2=\"150\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"30.84805948652768,20.84805948652768 150.8480594865277,20.84805948652768 150.8480594865277,77.54250393097213 30.84805948652768,77.54250393097213\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"90.848059\" y=\"97.542504\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
       "  <text x=\"170.848059\" y=\"49.195282\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,170.848059,49.195282)\">2041</text>\n",
       "  <text x=\"10.424030\" y=\"87.118474\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,10.424030,87.118474)\">252</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>usi</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 681, 1440), meta=np.ndarray&gt;</div><input id='attrs-e3c1d63a-992e-4ce3-bf89-57d383b2ca46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3c1d63a-992e-4ce3-bf89-57d383b2ca46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d89d553-1b47-4292-aefa-2bd05430958f' class='xr-var-data-in' type='checkbox'><label for='data-5d89d553-1b47-4292-aefa-2bd05430958f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea ice eastward velocity</dd><dt><span>standard_name :</span></dt><dd>eastward_sea_ice_velocity</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>unit_long :</span></dt><dd>Meters per second</dd><dt><span>valid_min :</span></dt><dd>-20539</dd><dt><span>valid_max :</span></dt><dd>32652</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea_ice</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16.55 GiB </td>\n",
       "                        <td> 7.48 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (252, 2041, 4320) </td>\n",
       "                        <td> (1, 681, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4032 chunks in 757 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"200\" height=\"127\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"30\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"18\" x2=\"30\" y2=\"39\" />\n",
       "  <line x1=\"10\" y1=\"28\" x2=\"30\" y2=\"49\" />\n",
       "  <line x1=\"10\" y1=\"37\" x2=\"30\" y2=\"58\" />\n",
       "  <line x1=\"10\" y1=\"56\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"57\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"58\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"59\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"61\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"62\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"63\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"17\" y2=\"64\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"65\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"66\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"67\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"68\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"69\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"70\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"71\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"73\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"74\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"75\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"29\" y2=\"76\" />\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 30.84805948652768,20.84805948652768 30.84805948652768,77.54250393097213 10.0,56.69444444444445\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"137\" y2=\"7\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"147\" y2=\"17\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"149\" y2=\"19\" />\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"30\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"70\" y2=\"20\" />\n",
       "  <line x1=\"70\" y1=\"0\" x2=\"90\" y2=\"20\" />\n",
       "  <line x1=\"90\" y1=\"0\" x2=\"110\" y2=\"20\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 150.8480594865277,20.84805948652768 30.84805948652768,20.84805948652768\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"30\" y1=\"39\" x2=\"150\" y2=\"39\" />\n",
       "  <line x1=\"30\" y1=\"49\" x2=\"150\" y2=\"49\" />\n",
       "  <line x1=\"30\" y1=\"58\" x2=\"150\" y2=\"58\" />\n",
       "  <line x1=\"30\" y1=\"77\" x2=\"150\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"70\" y1=\"20\" x2=\"70\" y2=\"77\" />\n",
       "  <line x1=\"90\" y1=\"20\" x2=\"90\" y2=\"77\" />\n",
       "  <line x1=\"110\" y1=\"20\" x2=\"110\" y2=\"77\" />\n",
       "  <line x1=\"150\" y1=\"20\" x2=\"150\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"30.84805948652768,20.84805948652768 150.8480594865277,20.84805948652768 150.8480594865277,77.54250393097213 30.84805948652768,77.54250393097213\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"90.848059\" y=\"97.542504\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
       "  <text x=\"170.848059\" y=\"49.195282\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,170.848059,49.195282)\">2041</text>\n",
       "  <text x=\"10.424030\" y=\"87.118474\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,10.424030,87.118474)\">252</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vsi</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 681, 1440), meta=np.ndarray&gt;</div><input id='attrs-fba488a4-60f7-410f-8fba-7ad47097e8c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fba488a4-60f7-410f-8fba-7ad47097e8c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cee9e230-c473-40bd-a2a3-4cdc4110a575' class='xr-var-data-in' type='checkbox'><label for='data-cee9e230-c473-40bd-a2a3-4cdc4110a575' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea ice northward velocity</dd><dt><span>standard_name :</span></dt><dd>northward_sea_ice_velocity</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>unit_long :</span></dt><dd>Meters per second</dd><dt><span>valid_min :</span></dt><dd>-32637</dd><dt><span>valid_max :</span></dt><dd>24967</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea_ice</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16.55 GiB </td>\n",
       "                        <td> 7.48 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (252, 2041, 4320) </td>\n",
       "                        <td> (1, 681, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4032 chunks in 757 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"200\" height=\"127\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"30\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"18\" x2=\"30\" y2=\"39\" />\n",
       "  <line x1=\"10\" y1=\"28\" x2=\"30\" y2=\"49\" />\n",
       "  <line x1=\"10\" y1=\"37\" x2=\"30\" y2=\"58\" />\n",
       "  <line x1=\"10\" y1=\"56\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"57\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"58\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"59\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"61\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"62\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"63\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"17\" y2=\"64\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"65\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"66\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"67\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"68\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"69\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"70\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"71\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"73\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"74\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"75\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"29\" y2=\"76\" />\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 30.84805948652768,20.84805948652768 30.84805948652768,77.54250393097213 10.0,56.69444444444445\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"137\" y2=\"7\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"147\" y2=\"17\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"149\" y2=\"19\" />\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"30\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"70\" y2=\"20\" />\n",
       "  <line x1=\"70\" y1=\"0\" x2=\"90\" y2=\"20\" />\n",
       "  <line x1=\"90\" y1=\"0\" x2=\"110\" y2=\"20\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 150.8480594865277,20.84805948652768 30.84805948652768,20.84805948652768\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"150\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"30\" y1=\"39\" x2=\"150\" y2=\"39\" />\n",
       "  <line x1=\"30\" y1=\"49\" x2=\"150\" y2=\"49\" />\n",
       "  <line x1=\"30\" y1=\"58\" x2=\"150\" y2=\"58\" />\n",
       "  <line x1=\"30\" y1=\"77\" x2=\"150\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"30\" y1=\"20\" x2=\"30\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"70\" y1=\"20\" x2=\"70\" y2=\"77\" />\n",
       "  <line x1=\"90\" y1=\"20\" x2=\"90\" y2=\"77\" />\n",
       "  <line x1=\"110\" y1=\"20\" x2=\"110\" y2=\"77\" />\n",
       "  <line x1=\"150\" y1=\"20\" x2=\"150\" y2=\"77\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"30.84805948652768,20.84805948652768 150.8480594865277,20.84805948652768 150.8480594865277,77.54250393097213 30.84805948652768,77.54250393097213\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"90.848059\" y=\"97.542504\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
       "  <text x=\"170.848059\" y=\"49.195282\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,170.848059,49.195282)\">2041</text>\n",
       "  <text x=\"10.424030\" y=\"87.118474\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,10.424030,87.118474)\">252</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thetao</span></div><div class='xr-var-dims'>(time, depth, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 7, 341, 720), meta=np.ndarray&gt;</div><input id='attrs-d21eeeb6-6787-41c1-af33-9d7c76612f3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d21eeeb6-6787-41c1-af33-9d7c76612f3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4625255-c6eb-42a4-bdfa-2404bfc17c17' class='xr-var-data-in' type='checkbox'><label for='data-f4625255-c6eb-42a4-bdfa-2404bfc17c17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature</dd><dt><span>units :</span></dt><dd>degrees_C</dd><dt><span>unit_long :</span></dt><dd>Degrees Celsius</dd><dt><span>valid_min :</span></dt><dd>-32764</dd><dt><span>valid_max :</span></dt><dd>18468</dd><dt><span>cell_methods :</span></dt><dd>area: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 827.73 GiB </td>\n",
       "                        <td> 13.11 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (252, 50, 2041, 4320) </td>\n",
       "                        <td> (1, 7, 341, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 310464 chunks in 757 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"395\" height=\"122\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"35\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"35\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" />\n",
       "  <line x1=\"2\" y1=\"0\" x2=\"2\" y2=\"25\" />\n",
       "  <line x1=\"3\" y1=\"0\" x2=\"3\" y2=\"25\" />\n",
       "  <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"25\" />\n",
       "  <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n",
       "  <line x1=\"6\" y1=\"0\" x2=\"6\" y2=\"25\" />\n",
       "  <line x1=\"7\" y1=\"0\" x2=\"7\" y2=\"25\" />\n",
       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"25\" />\n",
       "  <line x1=\"9\" y1=\"0\" x2=\"9\" y2=\"25\" />\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n",
       "  <line x1=\"13\" y1=\"0\" x2=\"13\" y2=\"25\" />\n",
       "  <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n",
       "  <line x1=\"15\" y1=\"0\" x2=\"15\" y2=\"25\" />\n",
       "  <line x1=\"16\" y1=\"0\" x2=\"16\" y2=\"25\" />\n",
       "  <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n",
       "  <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
       "  <line x1=\"19\" y1=\"0\" x2=\"19\" y2=\"25\" />\n",
       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"25\" />\n",
       "  <line x1=\"22\" y1=\"0\" x2=\"22\" y2=\"25\" />\n",
       "  <line x1=\"23\" y1=\"0\" x2=\"23\" y2=\"25\" />\n",
       "  <line x1=\"24\" y1=\"0\" x2=\"24\" y2=\"25\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n",
       "  <line x1=\"26\" y1=\"0\" x2=\"26\" y2=\"25\" />\n",
       "  <line x1=\"27\" y1=\"0\" x2=\"27\" y2=\"25\" />\n",
       "  <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n",
       "  <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n",
       "  <line x1=\"32\" y1=\"0\" x2=\"32\" y2=\"25\" />\n",
       "  <line x1=\"33\" y1=\"0\" x2=\"33\" y2=\"25\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"25\" />\n",
       "  <line x1=\"35\" y1=\"0\" x2=\"35\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 35.441701127097055,0.0 35.441701127097055,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"17.720851\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >252</text>\n",
       "  <text x=\"55.441701\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,55.441701,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"120\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"105\" y1=\"9\" x2=\"120\" y2=\"24\" />\n",
       "  <line x1=\"105\" y1=\"14\" x2=\"120\" y2=\"29\" />\n",
       "  <line x1=\"105\" y1=\"18\" x2=\"120\" y2=\"34\" />\n",
       "  <line x1=\"105\" y1=\"18\" x2=\"120\" y2=\"34\" />\n",
       "  <line x1=\"105\" y1=\"28\" x2=\"120\" y2=\"43\" />\n",
       "  <line x1=\"105\" y1=\"28\" x2=\"120\" y2=\"43\" />\n",
       "  <line x1=\"105\" y1=\"37\" x2=\"120\" y2=\"53\" />\n",
       "  <line x1=\"105\" y1=\"37\" x2=\"120\" y2=\"53\" />\n",
       "  <line x1=\"105\" y1=\"42\" x2=\"120\" y2=\"57\" />\n",
       "  <line x1=\"105\" y1=\"47\" x2=\"120\" y2=\"62\" />\n",
       "  <line x1=\"105\" y1=\"56\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"107\" y1=\"2\" x2=\"107\" y2=\"58\" />\n",
       "  <line x1=\"108\" y1=\"3\" x2=\"108\" y2=\"59\" />\n",
       "  <line x1=\"109\" y1=\"4\" x2=\"109\" y2=\"60\" />\n",
       "  <line x1=\"110\" y1=\"5\" x2=\"110\" y2=\"61\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"111\" y2=\"62\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"111\" y2=\"63\" />\n",
       "  <line x1=\"113\" y1=\"8\" x2=\"113\" y2=\"65\" />\n",
       "  <line x1=\"114\" y1=\"9\" x2=\"114\" y2=\"65\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"115\" y2=\"67\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"115\" y2=\"67\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"117\" y2=\"68\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"117\" y2=\"69\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"71\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"105.0,0.0 120.36832903813308,15.368329038133076 120.36832903813308,72.06277348257753 105.0,56.69444444444445\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"225\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"107\" y1=\"2\" x2=\"227\" y2=\"2\" />\n",
       "  <line x1=\"108\" y1=\"3\" x2=\"228\" y2=\"3\" />\n",
       "  <line x1=\"109\" y1=\"4\" x2=\"229\" y2=\"4\" />\n",
       "  <line x1=\"110\" y1=\"5\" x2=\"230\" y2=\"5\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"231\" y2=\"6\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"231\" y2=\"6\" />\n",
       "  <line x1=\"113\" y1=\"8\" x2=\"233\" y2=\"8\" />\n",
       "  <line x1=\"114\" y1=\"9\" x2=\"234\" y2=\"9\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"235\" y2=\"10\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"235\" y2=\"10\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"237\" y2=\"12\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"237\" y2=\"12\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"120\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"125\" y1=\"0\" x2=\"140\" y2=\"15\" />\n",
       "  <line x1=\"135\" y1=\"0\" x2=\"150\" y2=\"15\" />\n",
       "  <line x1=\"145\" y1=\"0\" x2=\"160\" y2=\"15\" />\n",
       "  <line x1=\"165\" y1=\"0\" x2=\"180\" y2=\"15\" />\n",
       "  <line x1=\"185\" y1=\"0\" x2=\"200\" y2=\"15\" />\n",
       "  <line x1=\"195\" y1=\"0\" x2=\"210\" y2=\"15\" />\n",
       "  <line x1=\"205\" y1=\"0\" x2=\"220\" y2=\"15\" />\n",
       "  <line x1=\"225\" y1=\"0\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"105.0,0.0 225.0,0.0 240.36832903813308,15.368329038133076 120.36832903813308,15.368329038133076\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"24\" x2=\"240\" y2=\"24\" />\n",
       "  <line x1=\"120\" y1=\"29\" x2=\"240\" y2=\"29\" />\n",
       "  <line x1=\"120\" y1=\"34\" x2=\"240\" y2=\"34\" />\n",
       "  <line x1=\"120\" y1=\"34\" x2=\"240\" y2=\"34\" />\n",
       "  <line x1=\"120\" y1=\"43\" x2=\"240\" y2=\"43\" />\n",
       "  <line x1=\"120\" y1=\"43\" x2=\"240\" y2=\"43\" />\n",
       "  <line x1=\"120\" y1=\"53\" x2=\"240\" y2=\"53\" />\n",
       "  <line x1=\"120\" y1=\"53\" x2=\"240\" y2=\"53\" />\n",
       "  <line x1=\"120\" y1=\"57\" x2=\"240\" y2=\"57\" />\n",
       "  <line x1=\"120\" y1=\"62\" x2=\"240\" y2=\"62\" />\n",
       "  <line x1=\"120\" y1=\"72\" x2=\"240\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"140\" y1=\"15\" x2=\"140\" y2=\"72\" />\n",
       "  <line x1=\"150\" y1=\"15\" x2=\"150\" y2=\"72\" />\n",
       "  <line x1=\"160\" y1=\"15\" x2=\"160\" y2=\"72\" />\n",
       "  <line x1=\"180\" y1=\"15\" x2=\"180\" y2=\"72\" />\n",
       "  <line x1=\"200\" y1=\"15\" x2=\"200\" y2=\"72\" />\n",
       "  <line x1=\"210\" y1=\"15\" x2=\"210\" y2=\"72\" />\n",
       "  <line x1=\"220\" y1=\"15\" x2=\"220\" y2=\"72\" />\n",
       "  <line x1=\"240\" y1=\"15\" x2=\"240\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"120.36832903813308,15.368329038133076 240.36832903813308,15.368329038133076 240.36832903813308,72.06277348257753 120.36832903813308,72.06277348257753\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"180.368329\" y=\"92.062773\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
       "  <text x=\"260.368329\" y=\"43.715551\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,260.368329,43.715551)\">2041</text>\n",
       "  <text x=\"102.684165\" y=\"84.378609\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,102.684165,84.378609)\">50</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>so</span></div><div class='xr-var-dims'>(time, depth, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 7, 341, 720), meta=np.ndarray&gt;</div><input id='attrs-5c39a8fe-7d5f-447d-8fc8-87d859488daa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c39a8fe-7d5f-447d-8fc8-87d859488daa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-002f54fa-963d-4154-93c1-7462323ca637' class='xr-var-data-in' type='checkbox'><label for='data-002f54fa-963d-4154-93c1-7462323ca637' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>1e-3</dd><dt><span>unit_long :</span></dt><dd>Practical Salinity Unit</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>valid_max :</span></dt><dd>27353</dd><dt><span>cell_methods :</span></dt><dd>area: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 827.73 GiB </td>\n",
       "                        <td> 13.11 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (252, 50, 2041, 4320) </td>\n",
       "                        <td> (1, 7, 341, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 310464 chunks in 757 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"395\" height=\"122\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"35\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"35\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" />\n",
       "  <line x1=\"2\" y1=\"0\" x2=\"2\" y2=\"25\" />\n",
       "  <line x1=\"3\" y1=\"0\" x2=\"3\" y2=\"25\" />\n",
       "  <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"25\" />\n",
       "  <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n",
       "  <line x1=\"6\" y1=\"0\" x2=\"6\" y2=\"25\" />\n",
       "  <line x1=\"7\" y1=\"0\" x2=\"7\" y2=\"25\" />\n",
       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"25\" />\n",
       "  <line x1=\"9\" y1=\"0\" x2=\"9\" y2=\"25\" />\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n",
       "  <line x1=\"13\" y1=\"0\" x2=\"13\" y2=\"25\" />\n",
       "  <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n",
       "  <line x1=\"15\" y1=\"0\" x2=\"15\" y2=\"25\" />\n",
       "  <line x1=\"16\" y1=\"0\" x2=\"16\" y2=\"25\" />\n",
       "  <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n",
       "  <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
       "  <line x1=\"19\" y1=\"0\" x2=\"19\" y2=\"25\" />\n",
       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"25\" />\n",
       "  <line x1=\"22\" y1=\"0\" x2=\"22\" y2=\"25\" />\n",
       "  <line x1=\"23\" y1=\"0\" x2=\"23\" y2=\"25\" />\n",
       "  <line x1=\"24\" y1=\"0\" x2=\"24\" y2=\"25\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n",
       "  <line x1=\"26\" y1=\"0\" x2=\"26\" y2=\"25\" />\n",
       "  <line x1=\"27\" y1=\"0\" x2=\"27\" y2=\"25\" />\n",
       "  <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n",
       "  <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n",
       "  <line x1=\"32\" y1=\"0\" x2=\"32\" y2=\"25\" />\n",
       "  <line x1=\"33\" y1=\"0\" x2=\"33\" y2=\"25\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"25\" />\n",
       "  <line x1=\"35\" y1=\"0\" x2=\"35\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 35.441701127097055,0.0 35.441701127097055,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"17.720851\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >252</text>\n",
       "  <text x=\"55.441701\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,55.441701,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"120\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"105\" y1=\"9\" x2=\"120\" y2=\"24\" />\n",
       "  <line x1=\"105\" y1=\"14\" x2=\"120\" y2=\"29\" />\n",
       "  <line x1=\"105\" y1=\"18\" x2=\"120\" y2=\"34\" />\n",
       "  <line x1=\"105\" y1=\"18\" x2=\"120\" y2=\"34\" />\n",
       "  <line x1=\"105\" y1=\"28\" x2=\"120\" y2=\"43\" />\n",
       "  <line x1=\"105\" y1=\"28\" x2=\"120\" y2=\"43\" />\n",
       "  <line x1=\"105\" y1=\"37\" x2=\"120\" y2=\"53\" />\n",
       "  <line x1=\"105\" y1=\"37\" x2=\"120\" y2=\"53\" />\n",
       "  <line x1=\"105\" y1=\"42\" x2=\"120\" y2=\"57\" />\n",
       "  <line x1=\"105\" y1=\"47\" x2=\"120\" y2=\"62\" />\n",
       "  <line x1=\"105\" y1=\"56\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"107\" y1=\"2\" x2=\"107\" y2=\"58\" />\n",
       "  <line x1=\"108\" y1=\"3\" x2=\"108\" y2=\"59\" />\n",
       "  <line x1=\"109\" y1=\"4\" x2=\"109\" y2=\"60\" />\n",
       "  <line x1=\"110\" y1=\"5\" x2=\"110\" y2=\"61\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"111\" y2=\"62\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"111\" y2=\"63\" />\n",
       "  <line x1=\"113\" y1=\"8\" x2=\"113\" y2=\"65\" />\n",
       "  <line x1=\"114\" y1=\"9\" x2=\"114\" y2=\"65\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"115\" y2=\"67\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"115\" y2=\"67\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"117\" y2=\"68\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"117\" y2=\"69\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"71\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"105.0,0.0 120.36832903813308,15.368329038133076 120.36832903813308,72.06277348257753 105.0,56.69444444444445\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"225\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"107\" y1=\"2\" x2=\"227\" y2=\"2\" />\n",
       "  <line x1=\"108\" y1=\"3\" x2=\"228\" y2=\"3\" />\n",
       "  <line x1=\"109\" y1=\"4\" x2=\"229\" y2=\"4\" />\n",
       "  <line x1=\"110\" y1=\"5\" x2=\"230\" y2=\"5\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"231\" y2=\"6\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"231\" y2=\"6\" />\n",
       "  <line x1=\"113\" y1=\"8\" x2=\"233\" y2=\"8\" />\n",
       "  <line x1=\"114\" y1=\"9\" x2=\"234\" y2=\"9\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"235\" y2=\"10\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"235\" y2=\"10\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"237\" y2=\"12\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"237\" y2=\"12\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"120\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"125\" y1=\"0\" x2=\"140\" y2=\"15\" />\n",
       "  <line x1=\"135\" y1=\"0\" x2=\"150\" y2=\"15\" />\n",
       "  <line x1=\"145\" y1=\"0\" x2=\"160\" y2=\"15\" />\n",
       "  <line x1=\"165\" y1=\"0\" x2=\"180\" y2=\"15\" />\n",
       "  <line x1=\"185\" y1=\"0\" x2=\"200\" y2=\"15\" />\n",
       "  <line x1=\"195\" y1=\"0\" x2=\"210\" y2=\"15\" />\n",
       "  <line x1=\"205\" y1=\"0\" x2=\"220\" y2=\"15\" />\n",
       "  <line x1=\"225\" y1=\"0\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"105.0,0.0 225.0,0.0 240.36832903813308,15.368329038133076 120.36832903813308,15.368329038133076\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"24\" x2=\"240\" y2=\"24\" />\n",
       "  <line x1=\"120\" y1=\"29\" x2=\"240\" y2=\"29\" />\n",
       "  <line x1=\"120\" y1=\"34\" x2=\"240\" y2=\"34\" />\n",
       "  <line x1=\"120\" y1=\"34\" x2=\"240\" y2=\"34\" />\n",
       "  <line x1=\"120\" y1=\"43\" x2=\"240\" y2=\"43\" />\n",
       "  <line x1=\"120\" y1=\"43\" x2=\"240\" y2=\"43\" />\n",
       "  <line x1=\"120\" y1=\"53\" x2=\"240\" y2=\"53\" />\n",
       "  <line x1=\"120\" y1=\"53\" x2=\"240\" y2=\"53\" />\n",
       "  <line x1=\"120\" y1=\"57\" x2=\"240\" y2=\"57\" />\n",
       "  <line x1=\"120\" y1=\"62\" x2=\"240\" y2=\"62\" />\n",
       "  <line x1=\"120\" y1=\"72\" x2=\"240\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"140\" y1=\"15\" x2=\"140\" y2=\"72\" />\n",
       "  <line x1=\"150\" y1=\"15\" x2=\"150\" y2=\"72\" />\n",
       "  <line x1=\"160\" y1=\"15\" x2=\"160\" y2=\"72\" />\n",
       "  <line x1=\"180\" y1=\"15\" x2=\"180\" y2=\"72\" />\n",
       "  <line x1=\"200\" y1=\"15\" x2=\"200\" y2=\"72\" />\n",
       "  <line x1=\"210\" y1=\"15\" x2=\"210\" y2=\"72\" />\n",
       "  <line x1=\"220\" y1=\"15\" x2=\"220\" y2=\"72\" />\n",
       "  <line x1=\"240\" y1=\"15\" x2=\"240\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"120.36832903813308,15.368329038133076 240.36832903813308,15.368329038133076 240.36832903813308,72.06277348257753 120.36832903813308,72.06277348257753\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"180.368329\" y=\"92.062773\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
       "  <text x=\"260.368329\" y=\"43.715551\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,260.368329,43.715551)\">2041</text>\n",
       "  <text x=\"102.684165\" y=\"84.378609\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,102.684165,84.378609)\">50</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uo</span></div><div class='xr-var-dims'>(time, depth, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 7, 341, 720), meta=np.ndarray&gt;</div><input id='attrs-5848ee40-e14e-4c70-b5b4-adee288b8808' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5848ee40-e14e-4c70-b5b4-adee288b8808' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd85bfd3-5c55-48e2-a744-c1941890f6ce' class='xr-var-data-in' type='checkbox'><label for='data-bd85bfd3-5c55-48e2-a744-c1941890f6ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Eastward velocity</dd><dt><span>standard_name :</span></dt><dd>eastward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>unit_long :</span></dt><dd>Meters per second</dd><dt><span>valid_min :</span></dt><dd>-3510</dd><dt><span>valid_max :</span></dt><dd>3894</dd><dt><span>cell_methods :</span></dt><dd>area: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 827.73 GiB </td>\n",
       "                        <td> 13.11 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (252, 50, 2041, 4320) </td>\n",
       "                        <td> (1, 7, 341, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 310464 chunks in 757 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"395\" height=\"122\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"35\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"35\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" />\n",
       "  <line x1=\"2\" y1=\"0\" x2=\"2\" y2=\"25\" />\n",
       "  <line x1=\"3\" y1=\"0\" x2=\"3\" y2=\"25\" />\n",
       "  <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"25\" />\n",
       "  <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n",
       "  <line x1=\"6\" y1=\"0\" x2=\"6\" y2=\"25\" />\n",
       "  <line x1=\"7\" y1=\"0\" x2=\"7\" y2=\"25\" />\n",
       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"25\" />\n",
       "  <line x1=\"9\" y1=\"0\" x2=\"9\" y2=\"25\" />\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n",
       "  <line x1=\"13\" y1=\"0\" x2=\"13\" y2=\"25\" />\n",
       "  <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n",
       "  <line x1=\"15\" y1=\"0\" x2=\"15\" y2=\"25\" />\n",
       "  <line x1=\"16\" y1=\"0\" x2=\"16\" y2=\"25\" />\n",
       "  <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n",
       "  <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
       "  <line x1=\"19\" y1=\"0\" x2=\"19\" y2=\"25\" />\n",
       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"25\" />\n",
       "  <line x1=\"22\" y1=\"0\" x2=\"22\" y2=\"25\" />\n",
       "  <line x1=\"23\" y1=\"0\" x2=\"23\" y2=\"25\" />\n",
       "  <line x1=\"24\" y1=\"0\" x2=\"24\" y2=\"25\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n",
       "  <line x1=\"26\" y1=\"0\" x2=\"26\" y2=\"25\" />\n",
       "  <line x1=\"27\" y1=\"0\" x2=\"27\" y2=\"25\" />\n",
       "  <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n",
       "  <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n",
       "  <line x1=\"32\" y1=\"0\" x2=\"32\" y2=\"25\" />\n",
       "  <line x1=\"33\" y1=\"0\" x2=\"33\" y2=\"25\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"25\" />\n",
       "  <line x1=\"35\" y1=\"0\" x2=\"35\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 35.441701127097055,0.0 35.441701127097055,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"17.720851\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >252</text>\n",
       "  <text x=\"55.441701\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,55.441701,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"120\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"105\" y1=\"9\" x2=\"120\" y2=\"24\" />\n",
       "  <line x1=\"105\" y1=\"14\" x2=\"120\" y2=\"29\" />\n",
       "  <line x1=\"105\" y1=\"18\" x2=\"120\" y2=\"34\" />\n",
       "  <line x1=\"105\" y1=\"18\" x2=\"120\" y2=\"34\" />\n",
       "  <line x1=\"105\" y1=\"28\" x2=\"120\" y2=\"43\" />\n",
       "  <line x1=\"105\" y1=\"28\" x2=\"120\" y2=\"43\" />\n",
       "  <line x1=\"105\" y1=\"37\" x2=\"120\" y2=\"53\" />\n",
       "  <line x1=\"105\" y1=\"37\" x2=\"120\" y2=\"53\" />\n",
       "  <line x1=\"105\" y1=\"42\" x2=\"120\" y2=\"57\" />\n",
       "  <line x1=\"105\" y1=\"47\" x2=\"120\" y2=\"62\" />\n",
       "  <line x1=\"105\" y1=\"56\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"107\" y1=\"2\" x2=\"107\" y2=\"58\" />\n",
       "  <line x1=\"108\" y1=\"3\" x2=\"108\" y2=\"59\" />\n",
       "  <line x1=\"109\" y1=\"4\" x2=\"109\" y2=\"60\" />\n",
       "  <line x1=\"110\" y1=\"5\" x2=\"110\" y2=\"61\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"111\" y2=\"62\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"111\" y2=\"63\" />\n",
       "  <line x1=\"113\" y1=\"8\" x2=\"113\" y2=\"65\" />\n",
       "  <line x1=\"114\" y1=\"9\" x2=\"114\" y2=\"65\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"115\" y2=\"67\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"115\" y2=\"67\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"117\" y2=\"68\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"117\" y2=\"69\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"71\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"105.0,0.0 120.36832903813308,15.368329038133076 120.36832903813308,72.06277348257753 105.0,56.69444444444445\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"225\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"107\" y1=\"2\" x2=\"227\" y2=\"2\" />\n",
       "  <line x1=\"108\" y1=\"3\" x2=\"228\" y2=\"3\" />\n",
       "  <line x1=\"109\" y1=\"4\" x2=\"229\" y2=\"4\" />\n",
       "  <line x1=\"110\" y1=\"5\" x2=\"230\" y2=\"5\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"231\" y2=\"6\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"231\" y2=\"6\" />\n",
       "  <line x1=\"113\" y1=\"8\" x2=\"233\" y2=\"8\" />\n",
       "  <line x1=\"114\" y1=\"9\" x2=\"234\" y2=\"9\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"235\" y2=\"10\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"235\" y2=\"10\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"237\" y2=\"12\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"237\" y2=\"12\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"120\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"125\" y1=\"0\" x2=\"140\" y2=\"15\" />\n",
       "  <line x1=\"135\" y1=\"0\" x2=\"150\" y2=\"15\" />\n",
       "  <line x1=\"145\" y1=\"0\" x2=\"160\" y2=\"15\" />\n",
       "  <line x1=\"165\" y1=\"0\" x2=\"180\" y2=\"15\" />\n",
       "  <line x1=\"185\" y1=\"0\" x2=\"200\" y2=\"15\" />\n",
       "  <line x1=\"195\" y1=\"0\" x2=\"210\" y2=\"15\" />\n",
       "  <line x1=\"205\" y1=\"0\" x2=\"220\" y2=\"15\" />\n",
       "  <line x1=\"225\" y1=\"0\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"105.0,0.0 225.0,0.0 240.36832903813308,15.368329038133076 120.36832903813308,15.368329038133076\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"24\" x2=\"240\" y2=\"24\" />\n",
       "  <line x1=\"120\" y1=\"29\" x2=\"240\" y2=\"29\" />\n",
       "  <line x1=\"120\" y1=\"34\" x2=\"240\" y2=\"34\" />\n",
       "  <line x1=\"120\" y1=\"34\" x2=\"240\" y2=\"34\" />\n",
       "  <line x1=\"120\" y1=\"43\" x2=\"240\" y2=\"43\" />\n",
       "  <line x1=\"120\" y1=\"43\" x2=\"240\" y2=\"43\" />\n",
       "  <line x1=\"120\" y1=\"53\" x2=\"240\" y2=\"53\" />\n",
       "  <line x1=\"120\" y1=\"53\" x2=\"240\" y2=\"53\" />\n",
       "  <line x1=\"120\" y1=\"57\" x2=\"240\" y2=\"57\" />\n",
       "  <line x1=\"120\" y1=\"62\" x2=\"240\" y2=\"62\" />\n",
       "  <line x1=\"120\" y1=\"72\" x2=\"240\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"140\" y1=\"15\" x2=\"140\" y2=\"72\" />\n",
       "  <line x1=\"150\" y1=\"15\" x2=\"150\" y2=\"72\" />\n",
       "  <line x1=\"160\" y1=\"15\" x2=\"160\" y2=\"72\" />\n",
       "  <line x1=\"180\" y1=\"15\" x2=\"180\" y2=\"72\" />\n",
       "  <line x1=\"200\" y1=\"15\" x2=\"200\" y2=\"72\" />\n",
       "  <line x1=\"210\" y1=\"15\" x2=\"210\" y2=\"72\" />\n",
       "  <line x1=\"220\" y1=\"15\" x2=\"220\" y2=\"72\" />\n",
       "  <line x1=\"240\" y1=\"15\" x2=\"240\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"120.36832903813308,15.368329038133076 240.36832903813308,15.368329038133076 240.36832903813308,72.06277348257753 120.36832903813308,72.06277348257753\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"180.368329\" y=\"92.062773\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
       "  <text x=\"260.368329\" y=\"43.715551\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,260.368329,43.715551)\">2041</text>\n",
       "  <text x=\"102.684165\" y=\"84.378609\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,102.684165,84.378609)\">50</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vo</span></div><div class='xr-var-dims'>(time, depth, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 7, 341, 720), meta=np.ndarray&gt;</div><input id='attrs-e4e7f0a2-a2c5-4e92-aef8-e0250479cd47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4e7f0a2-a2c5-4e92-aef8-e0250479cd47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-962b3022-acb0-4a1f-83c1-c6001bc02a43' class='xr-var-data-in' type='checkbox'><label for='data-962b3022-acb0-4a1f-83c1-c6001bc02a43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Northward velocity</dd><dt><span>standard_name :</span></dt><dd>northward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>unit_long :</span></dt><dd>Meters per second</dd><dt><span>valid_min :</span></dt><dd>-3234</dd><dt><span>valid_max :</span></dt><dd>3332</dd><dt><span>cell_methods :</span></dt><dd>area: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 827.73 GiB </td>\n",
       "                        <td> 13.11 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (252, 50, 2041, 4320) </td>\n",
       "                        <td> (1, 7, 341, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 310464 chunks in 757 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"395\" height=\"122\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"35\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"35\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" />\n",
       "  <line x1=\"2\" y1=\"0\" x2=\"2\" y2=\"25\" />\n",
       "  <line x1=\"3\" y1=\"0\" x2=\"3\" y2=\"25\" />\n",
       "  <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"25\" />\n",
       "  <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n",
       "  <line x1=\"6\" y1=\"0\" x2=\"6\" y2=\"25\" />\n",
       "  <line x1=\"7\" y1=\"0\" x2=\"7\" y2=\"25\" />\n",
       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"25\" />\n",
       "  <line x1=\"9\" y1=\"0\" x2=\"9\" y2=\"25\" />\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n",
       "  <line x1=\"13\" y1=\"0\" x2=\"13\" y2=\"25\" />\n",
       "  <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n",
       "  <line x1=\"15\" y1=\"0\" x2=\"15\" y2=\"25\" />\n",
       "  <line x1=\"16\" y1=\"0\" x2=\"16\" y2=\"25\" />\n",
       "  <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n",
       "  <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
       "  <line x1=\"19\" y1=\"0\" x2=\"19\" y2=\"25\" />\n",
       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"25\" />\n",
       "  <line x1=\"22\" y1=\"0\" x2=\"22\" y2=\"25\" />\n",
       "  <line x1=\"23\" y1=\"0\" x2=\"23\" y2=\"25\" />\n",
       "  <line x1=\"24\" y1=\"0\" x2=\"24\" y2=\"25\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n",
       "  <line x1=\"26\" y1=\"0\" x2=\"26\" y2=\"25\" />\n",
       "  <line x1=\"27\" y1=\"0\" x2=\"27\" y2=\"25\" />\n",
       "  <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n",
       "  <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n",
       "  <line x1=\"32\" y1=\"0\" x2=\"32\" y2=\"25\" />\n",
       "  <line x1=\"33\" y1=\"0\" x2=\"33\" y2=\"25\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"25\" />\n",
       "  <line x1=\"35\" y1=\"0\" x2=\"35\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 35.441701127097055,0.0 35.441701127097055,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"17.720851\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >252</text>\n",
       "  <text x=\"55.441701\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,55.441701,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"120\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"105\" y1=\"9\" x2=\"120\" y2=\"24\" />\n",
       "  <line x1=\"105\" y1=\"14\" x2=\"120\" y2=\"29\" />\n",
       "  <line x1=\"105\" y1=\"18\" x2=\"120\" y2=\"34\" />\n",
       "  <line x1=\"105\" y1=\"18\" x2=\"120\" y2=\"34\" />\n",
       "  <line x1=\"105\" y1=\"28\" x2=\"120\" y2=\"43\" />\n",
       "  <line x1=\"105\" y1=\"28\" x2=\"120\" y2=\"43\" />\n",
       "  <line x1=\"105\" y1=\"37\" x2=\"120\" y2=\"53\" />\n",
       "  <line x1=\"105\" y1=\"37\" x2=\"120\" y2=\"53\" />\n",
       "  <line x1=\"105\" y1=\"42\" x2=\"120\" y2=\"57\" />\n",
       "  <line x1=\"105\" y1=\"47\" x2=\"120\" y2=\"62\" />\n",
       "  <line x1=\"105\" y1=\"56\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"107\" y1=\"2\" x2=\"107\" y2=\"58\" />\n",
       "  <line x1=\"108\" y1=\"3\" x2=\"108\" y2=\"59\" />\n",
       "  <line x1=\"109\" y1=\"4\" x2=\"109\" y2=\"60\" />\n",
       "  <line x1=\"110\" y1=\"5\" x2=\"110\" y2=\"61\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"111\" y2=\"62\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"111\" y2=\"63\" />\n",
       "  <line x1=\"113\" y1=\"8\" x2=\"113\" y2=\"65\" />\n",
       "  <line x1=\"114\" y1=\"9\" x2=\"114\" y2=\"65\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"115\" y2=\"67\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"115\" y2=\"67\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"117\" y2=\"68\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"117\" y2=\"69\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"71\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"105.0,0.0 120.36832903813308,15.368329038133076 120.36832903813308,72.06277348257753 105.0,56.69444444444445\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"225\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"107\" y1=\"2\" x2=\"227\" y2=\"2\" />\n",
       "  <line x1=\"108\" y1=\"3\" x2=\"228\" y2=\"3\" />\n",
       "  <line x1=\"109\" y1=\"4\" x2=\"229\" y2=\"4\" />\n",
       "  <line x1=\"110\" y1=\"5\" x2=\"230\" y2=\"5\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"231\" y2=\"6\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"231\" y2=\"6\" />\n",
       "  <line x1=\"113\" y1=\"8\" x2=\"233\" y2=\"8\" />\n",
       "  <line x1=\"114\" y1=\"9\" x2=\"234\" y2=\"9\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"235\" y2=\"10\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"235\" y2=\"10\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"237\" y2=\"12\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"237\" y2=\"12\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"120\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"125\" y1=\"0\" x2=\"140\" y2=\"15\" />\n",
       "  <line x1=\"135\" y1=\"0\" x2=\"150\" y2=\"15\" />\n",
       "  <line x1=\"145\" y1=\"0\" x2=\"160\" y2=\"15\" />\n",
       "  <line x1=\"165\" y1=\"0\" x2=\"180\" y2=\"15\" />\n",
       "  <line x1=\"185\" y1=\"0\" x2=\"200\" y2=\"15\" />\n",
       "  <line x1=\"195\" y1=\"0\" x2=\"210\" y2=\"15\" />\n",
       "  <line x1=\"205\" y1=\"0\" x2=\"220\" y2=\"15\" />\n",
       "  <line x1=\"225\" y1=\"0\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"105.0,0.0 225.0,0.0 240.36832903813308,15.368329038133076 120.36832903813308,15.368329038133076\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"24\" x2=\"240\" y2=\"24\" />\n",
       "  <line x1=\"120\" y1=\"29\" x2=\"240\" y2=\"29\" />\n",
       "  <line x1=\"120\" y1=\"34\" x2=\"240\" y2=\"34\" />\n",
       "  <line x1=\"120\" y1=\"34\" x2=\"240\" y2=\"34\" />\n",
       "  <line x1=\"120\" y1=\"43\" x2=\"240\" y2=\"43\" />\n",
       "  <line x1=\"120\" y1=\"43\" x2=\"240\" y2=\"43\" />\n",
       "  <line x1=\"120\" y1=\"53\" x2=\"240\" y2=\"53\" />\n",
       "  <line x1=\"120\" y1=\"53\" x2=\"240\" y2=\"53\" />\n",
       "  <line x1=\"120\" y1=\"57\" x2=\"240\" y2=\"57\" />\n",
       "  <line x1=\"120\" y1=\"62\" x2=\"240\" y2=\"62\" />\n",
       "  <line x1=\"120\" y1=\"72\" x2=\"240\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"140\" y1=\"15\" x2=\"140\" y2=\"72\" />\n",
       "  <line x1=\"150\" y1=\"15\" x2=\"150\" y2=\"72\" />\n",
       "  <line x1=\"160\" y1=\"15\" x2=\"160\" y2=\"72\" />\n",
       "  <line x1=\"180\" y1=\"15\" x2=\"180\" y2=\"72\" />\n",
       "  <line x1=\"200\" y1=\"15\" x2=\"200\" y2=\"72\" />\n",
       "  <line x1=\"210\" y1=\"15\" x2=\"210\" y2=\"72\" />\n",
       "  <line x1=\"220\" y1=\"15\" x2=\"220\" y2=\"72\" />\n",
       "  <line x1=\"240\" y1=\"15\" x2=\"240\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"120.36832903813308,15.368329038133076 240.36832903813308,15.368329038133076 240.36832903813308,72.06277348257753 120.36832903813308,72.06277348257753\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"180.368329\" y=\"92.062773\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
       "  <text x=\"260.368329\" y=\"43.715551\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,260.368329,43.715551)\">2041</text>\n",
       "  <text x=\"102.684165\" y=\"84.378609\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,102.684165,84.378609)\">50</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-633e24c5-8b77-487f-9209-28a15091130a' class='xr-section-summary-in' type='checkbox'  ><label for='section-633e24c5-8b77-487f-9209-28a15091130a' class='xr-section-summary' >Indexes: <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-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-744e4561-4645-4a3f-9bc8-210b424f8383' class='xr-index-data-in' type='checkbox'/><label for='index-744e4561-4645-4a3f-9bc8-210b424f8383' 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([            -180.0, -179.9166717529297, -179.8333282470703,\n",
       "                  -179.75, -179.6666717529297, -179.5833282470703,\n",
       "                   -179.5, -179.4166717529297, -179.3333282470703,\n",
       "                  -179.25,\n",
       "       ...\n",
       "        179.1666717529297,             179.25,  179.3333282470703,\n",
       "        179.4166717529297,              179.5,  179.5833282470703,\n",
       "        179.6666717529297,             179.75,  179.8333282470703,\n",
       "        179.9166717529297],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;, length=4320))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7a10de3b-ba1a-49b6-a074-eaa639ab9520' class='xr-index-data-in' type='checkbox'/><label for='index-7a10de3b-ba1a-49b6-a074-eaa639ab9520' 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([             -80.0, -79.91666412353516, -79.83333587646484,\n",
       "                   -79.75, -79.66666412353516, -79.58333587646484,\n",
       "                    -79.5, -79.41666412353516, -79.33333587646484,\n",
       "                   -79.25,\n",
       "       ...\n",
       "                    89.25,  89.33333587646484,  89.41666412353516,\n",
       "                     89.5,  89.58333587646484,  89.66666412353516,\n",
       "                    89.75,  89.83333587646484,  89.91666412353516,\n",
       "                     90.0],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;, length=2041))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>depth</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-45ca8687-31d9-44a7-b5a5-65e3670e858c' class='xr-index-data-in' type='checkbox'/><label for='index-45ca8687-31d9-44a7-b5a5-65e3670e858c' 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([0.49402499198913574,  1.5413750410079956,  2.6456689834594727,\n",
       "        3.8194949626922607,   5.078224182128906,   6.440614223480225,\n",
       "          7.92956018447876,   9.572997093200684,  11.404999732971191,\n",
       "        13.467140197753906,  15.810070037841797,  18.495559692382812,\n",
       "        21.598819732666016,  25.211410522460938,  29.444730758666992,\n",
       "         34.43415069580078,  40.344051361083984,   47.37369155883789,\n",
       "         55.76428985595703,   65.80726623535156,   77.85385131835938,\n",
       "          92.3260726928711,  109.72930145263672,  130.66600036621094,\n",
       "        155.85069274902344,  186.12559509277344,  222.47520446777344,\n",
       "         266.0403137207031,   318.1274108886719,   380.2130126953125,\n",
       "         453.9377136230469,   541.0889282226562,   643.5667724609375,\n",
       "         763.3331298828125,   902.3392944335938,    1062.43994140625,\n",
       "            1245.291015625,     1452.2509765625,  1684.2840576171875,\n",
       "        1941.8929443359375,   2225.077880859375,        2533.3359375,\n",
       "         2865.702880859375,   3220.820068359375,   3597.031982421875,\n",
       "          3992.48388671875,    4405.22412109375,      4833.291015625,\n",
       "           5274.7841796875,     5727.9169921875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;depth&#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-55742a6a-05f1-472b-9b9e-1b5cd843bd69' class='xr-index-data-in' type='checkbox'/><label for='index-55742a6a-05f1-472b-9b9e-1b5cd843bd69' 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;2000-01-16 12:00:00&#x27;, &#x27;2000-02-15 12:00:00&#x27;,\n",
       "               &#x27;2000-03-16 12:00:00&#x27;, &#x27;2000-04-16 00:00:00&#x27;,\n",
       "               &#x27;2000-05-16 12:00:00&#x27;, &#x27;2000-06-16 00:00:00&#x27;,\n",
       "               &#x27;2000-07-16 12:00:00&#x27;, &#x27;2000-08-16 12:00:00&#x27;,\n",
       "               &#x27;2000-09-16 00:00:00&#x27;, &#x27;2000-10-16 12:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2020-03-16 12:00:00&#x27;, &#x27;2020-04-16 00:00:00&#x27;,\n",
       "               &#x27;2020-05-16 12:00:00&#x27;, &#x27;2020-06-16 00:00:00&#x27;,\n",
       "               &#x27;2020-07-16 12:00:00&#x27;, &#x27;2020-08-16 12:00:00&#x27;,\n",
       "               &#x27;2020-09-16 00:00:00&#x27;, &#x27;2020-10-16 12:00:00&#x27;,\n",
       "               &#x27;2020-11-16 00:00:00&#x27;, &#x27;2020-12-16 12:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=252, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5412a6a3-8391-4660-8c33-c4da728cff1f' class='xr-section-summary-in' type='checkbox'  ><label for='section-5412a6a3-8391-4660-8c33-c4da728cff1f' class='xr-section-summary' >Attributes: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Monthly mean fields for product GLOBAL_REANALYSIS_PHY_001_030</dd><dt><span>references :</span></dt><dd>http://marine.copernicus.eu</dd><dt><span>credit :</span></dt><dd>E.U. Copernicus Marine Service Information (CMEMS)</dd><dt><span>licence :</span></dt><dd>http://marine.copernicus.eu/services-portfolio/service-commitments-and-licence/</dd><dt><span>contact :</span></dt><dd>servicedesk.cmems@mercator-ocean.eu</dd><dt><span>producer :</span></dt><dd>CMEMS - Global Monitoring and Forecasting Centre</dd><dt><span>institution :</span></dt><dd>Mercator Ocean</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>area :</span></dt><dd>GLOBAL</dd><dt><span>product :</span></dt><dd>GLOBAL_REANALYSIS_001_030</dd><dt><span>dataset :</span></dt><dd>global-reanalysis-001-030-monthly</dd><dt><span>source :</span></dt><dd>MERCATOR GLORYS12V1</dd><dt><span>product_user_manual :</span></dt><dd>http://marine.copernicus.eu/documents/PUM/CMEMS-GLO-PUM-001-030.pdf</dd><dt><span>quality_information_document :</span></dt><dd>http://marine.copernicus.eu/documents/QUID/CMEMS-GLO-QUID-001-030.pdf</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 4TB\n",
       "Dimensions:    (longitude: 4320, latitude: 2041, depth: 50, time: 252)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 17kB -180.0 -179.9 -179.8 ... 179.8 179.9\n",
       "  * latitude   (latitude) float32 8kB -80.0 -79.92 -79.83 ... 89.83 89.92 90.0\n",
       "  * depth      (depth) float32 200B 0.494 1.541 2.646 ... 5.275e+03 5.728e+03\n",
       "  * time       (time) datetime64[ns] 2kB 2000-01-16T12:00:00 ... 2020-12-16T1...\n",
       "Data variables:\n",
       "    mlotst     (time, latitude, longitude) float64 18GB dask.array<chunksize=(1, 681, 1440), meta=np.ndarray>\n",
       "    zos        (time, latitude, longitude) float64 18GB dask.array<chunksize=(1, 681, 1440), meta=np.ndarray>\n",
       "    bottomT    (time, latitude, longitude) float64 18GB dask.array<chunksize=(1, 681, 1440), meta=np.ndarray>\n",
       "    sithick    (time, latitude, longitude) float64 18GB dask.array<chunksize=(1, 681, 1440), meta=np.ndarray>\n",
       "    siconc     (time, latitude, longitude) float64 18GB dask.array<chunksize=(1, 681, 1440), meta=np.ndarray>\n",
       "    usi        (time, latitude, longitude) float64 18GB dask.array<chunksize=(1, 681, 1440), meta=np.ndarray>\n",
       "    vsi        (time, latitude, longitude) float64 18GB dask.array<chunksize=(1, 681, 1440), meta=np.ndarray>\n",
       "    thetao     (time, depth, latitude, longitude) float64 889GB dask.array<chunksize=(1, 7, 341, 720), meta=np.ndarray>\n",
       "    so         (time, depth, latitude, longitude) float64 889GB dask.array<chunksize=(1, 7, 341, 720), meta=np.ndarray>\n",
       "    uo         (time, depth, latitude, longitude) float64 889GB dask.array<chunksize=(1, 7, 341, 720), meta=np.ndarray>\n",
       "    vo         (time, depth, latitude, longitude) float64 889GB dask.array<chunksize=(1, 7, 341, 720), meta=np.ndarray>\n",
       "Attributes: (12/14)\n",
       "    title:                         Monthly mean fields for product GLOBAL_REA...\n",
       "    references:                    http://marine.copernicus.eu\n",
       "    credit:                        E.U. Copernicus Marine Service Information...\n",
       "    licence:                       http://marine.copernicus.eu/services-portf...\n",
       "    contact:                       servicedesk.cmems@mercator-ocean.eu\n",
       "    producer:                      CMEMS - Global Monitoring and Forecasting ...\n",
       "    ...                            ...\n",
       "    area:                          GLOBAL\n",
       "    product:                       GLOBAL_REANALYSIS_001_030\n",
       "    dataset:                       global-reanalysis-001-030-monthly\n",
       "    source:                        MERCATOR GLORYS12V1\n",
       "    product_user_manual:           http://marine.copernicus.eu/documents/PUM/...\n",
       "    quality_information_document:  http://marine.copernicus.eu/documents/QUID..."
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a3a7c54c-f42b-42c1-afbe-4acd4387b213",
   "metadata": {},
   "outputs": [],
   "source": [
    "GL = data.drop_vars(\"mlotst\").drop_vars(\"zos\")\n",
    "GL = GL.drop_vars(\"sithick\").drop_vars(\"siconc\")\n",
    "GL = GL.drop_vars(\"usi\").drop_vars(\"vsi\").drop_vars(\"uo\").drop_vars(\"vo\").drop_vars(\"bottomT\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f8ed626f-6a35-4ce0-9e5b-67f2621951d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --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",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  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",
       "}\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; Size: 2TB\n",
       "Dimensions:    (longitude: 4320, latitude: 2041, depth: 50, time: 252)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 17kB -180.0 -179.9 -179.8 ... 179.8 179.9\n",
       "  * latitude   (latitude) float32 8kB -80.0 -79.92 -79.83 ... 89.83 89.92 90.0\n",
       "  * depth      (depth) float32 200B 0.494 1.541 2.646 ... 5.275e+03 5.728e+03\n",
       "  * time       (time) datetime64[ns] 2kB 2000-01-16T12:00:00 ... 2020-12-16T1...\n",
       "Data variables:\n",
       "    thetao     (time, depth, latitude, longitude) float64 889GB dask.array&lt;chunksize=(1, 7, 341, 720), meta=np.ndarray&gt;\n",
       "    so         (time, depth, latitude, longitude) float64 889GB dask.array&lt;chunksize=(1, 7, 341, 720), meta=np.ndarray&gt;\n",
       "Attributes: (12/14)\n",
       "    title:                         Monthly mean fields for product GLOBAL_REA...\n",
       "    references:                    http://marine.copernicus.eu\n",
       "    credit:                        E.U. Copernicus Marine Service Information...\n",
       "    licence:                       http://marine.copernicus.eu/services-portf...\n",
       "    contact:                       servicedesk.cmems@mercator-ocean.eu\n",
       "    producer:                      CMEMS - Global Monitoring and Forecasting ...\n",
       "    ...                            ...\n",
       "    area:                          GLOBAL\n",
       "    product:                       GLOBAL_REANALYSIS_001_030\n",
       "    dataset:                       global-reanalysis-001-030-monthly\n",
       "    source:                        MERCATOR GLORYS12V1\n",
       "    product_user_manual:           http://marine.copernicus.eu/documents/PUM/...\n",
       "    quality_information_document:  http://marine.copernicus.eu/documents/QUID...</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-343e6fda-9a4f-4f67-9027-f1f12d83dc37' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-343e6fda-9a4f-4f67-9027-f1f12d83dc37' 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'>longitude</span>: 4320</li><li><span class='xr-has-index'>latitude</span>: 2041</li><li><span class='xr-has-index'>depth</span>: 50</li><li><span class='xr-has-index'>time</span>: 252</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4f1e5b3a-bbe8-421c-b0db-99822173f9b2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4f1e5b3a-bbe8-421c-b0db-99822173f9b2' 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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.8 179.9</div><input id='attrs-ad8c3d60-2474-4ee2-9edb-a7edb7c48dc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad8c3d60-2474-4ee2-9edb-a7edb7c48dc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19728fda-9b2c-406f-b3c4-fd8cdfbf53a4' class='xr-var-data-in' type='checkbox'><label for='data-19728fda-9b2c-406f-b3c4-fd8cdfbf53a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>179.91667</dd><dt><span>step :</span></dt><dd>0.08332825</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>unit_long :</span></dt><dd>Degrees East</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-180.     , -179.91667, -179.83333, ...,  179.75   ,  179.83333,\n",
       "        179.91667], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-80.0 -79.92 -79.83 ... 89.92 90.0</div><input id='attrs-cfcfe4c9-cedb-4b1e-bf86-c42163e8776c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfcfe4c9-cedb-4b1e-bf86-c42163e8776c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bc6d5a6-b31b-484e-bb76-c39dc8d3b426' class='xr-var-data-in' type='checkbox'><label for='data-8bc6d5a6-b31b-484e-bb76-c39dc8d3b426' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>valid_min :</span></dt><dd>-80.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>step :</span></dt><dd>0.08333588</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>unit_long :</span></dt><dd>Degrees North</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-80.      , -79.916664, -79.833336, ...,  89.833336,  89.916664,\n",
       "        90.      ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>depth</span></div><div class='xr-var-dims'>(depth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.494 1.541 ... 5.275e+03 5.728e+03</div><input id='attrs-5b0fb7e5-8c4e-4df8-a401-db6e483df304' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b0fb7e5-8c4e-4df8-a401-db6e483df304' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09ae8b73-4707-4de9-8fb9-644f7ccf0749' class='xr-var-data-in' type='checkbox'><label for='data-09ae8b73-4707-4de9-8fb9-644f7ccf0749' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>valid_min :</span></dt><dd>0.494025</dd><dt><span>valid_max :</span></dt><dd>5727.917</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>unit_long :</span></dt><dd>Meters</dd><dt><span>long_name :</span></dt><dd>Depth</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([4.940250e-01, 1.541375e+00, 2.645669e+00, 3.819495e+00, 5.078224e+00,\n",
       "       6.440614e+00, 7.929560e+00, 9.572997e+00, 1.140500e+01, 1.346714e+01,\n",
       "       1.581007e+01, 1.849556e+01, 2.159882e+01, 2.521141e+01, 2.944473e+01,\n",
       "       3.443415e+01, 4.034405e+01, 4.737369e+01, 5.576429e+01, 6.580727e+01,\n",
       "       7.785385e+01, 9.232607e+01, 1.097293e+02, 1.306660e+02, 1.558507e+02,\n",
       "       1.861256e+02, 2.224752e+02, 2.660403e+02, 3.181274e+02, 3.802130e+02,\n",
       "       4.539377e+02, 5.410889e+02, 6.435668e+02, 7.633331e+02, 9.023393e+02,\n",
       "       1.062440e+03, 1.245291e+03, 1.452251e+03, 1.684284e+03, 1.941893e+03,\n",
       "       2.225078e+03, 2.533336e+03, 2.865703e+03, 3.220820e+03, 3.597032e+03,\n",
       "       3.992484e+03, 4.405224e+03, 4.833291e+03, 5.274784e+03, 5.727917e+03],\n",
       "      dtype=float32)</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'>2000-01-16T12:00:00 ... 2020-12-...</div><input id='attrs-6c7fa054-48fd-41e0-88db-0a27689b1ae1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c7fa054-48fd-41e0-88db-0a27689b1ae1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b518498-7201-4e19-aa81-65e2d9e7f97d' class='xr-var-data-in' type='checkbox'><label for='data-8b518498-7201-4e19-aa81-65e2d9e7f97d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time (hours since 1950-01-01)</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-16T12:00:00.000000000&#x27;, &#x27;2000-02-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-16T12:00:00.000000000&#x27;, ..., &#x27;2020-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2020-11-16T00:00:00.000000000&#x27;, &#x27;2020-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e6d54f7-0445-46fa-ad58-00b1b6d625c5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8e6d54f7-0445-46fa-ad58-00b1b6d625c5' 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>thetao</span></div><div class='xr-var-dims'>(time, depth, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 7, 341, 720), meta=np.ndarray&gt;</div><input id='attrs-25648844-27c3-4cf7-af31-808ff935f979' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25648844-27c3-4cf7-af31-808ff935f979' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ed8397b-61c7-44d7-9887-af167a366cf2' class='xr-var-data-in' type='checkbox'><label for='data-1ed8397b-61c7-44d7-9887-af167a366cf2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature</dd><dt><span>units :</span></dt><dd>degrees_C</dd><dt><span>unit_long :</span></dt><dd>Degrees Celsius</dd><dt><span>valid_min :</span></dt><dd>-32764</dd><dt><span>valid_max :</span></dt><dd>18468</dd><dt><span>cell_methods :</span></dt><dd>area: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 827.73 GiB </td>\n",
       "                        <td> 13.11 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (252, 50, 2041, 4320) </td>\n",
       "                        <td> (1, 7, 341, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 310464 chunks in 757 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"395\" height=\"122\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"35\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"35\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" />\n",
       "  <line x1=\"2\" y1=\"0\" x2=\"2\" y2=\"25\" />\n",
       "  <line x1=\"3\" y1=\"0\" x2=\"3\" y2=\"25\" />\n",
       "  <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"25\" />\n",
       "  <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n",
       "  <line x1=\"6\" y1=\"0\" x2=\"6\" y2=\"25\" />\n",
       "  <line x1=\"7\" y1=\"0\" x2=\"7\" y2=\"25\" />\n",
       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"25\" />\n",
       "  <line x1=\"9\" y1=\"0\" x2=\"9\" y2=\"25\" />\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n",
       "  <line x1=\"13\" y1=\"0\" x2=\"13\" y2=\"25\" />\n",
       "  <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n",
       "  <line x1=\"15\" y1=\"0\" x2=\"15\" y2=\"25\" />\n",
       "  <line x1=\"16\" y1=\"0\" x2=\"16\" y2=\"25\" />\n",
       "  <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n",
       "  <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
       "  <line x1=\"19\" y1=\"0\" x2=\"19\" y2=\"25\" />\n",
       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"25\" />\n",
       "  <line x1=\"22\" y1=\"0\" x2=\"22\" y2=\"25\" />\n",
       "  <line x1=\"23\" y1=\"0\" x2=\"23\" y2=\"25\" />\n",
       "  <line x1=\"24\" y1=\"0\" x2=\"24\" y2=\"25\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n",
       "  <line x1=\"26\" y1=\"0\" x2=\"26\" y2=\"25\" />\n",
       "  <line x1=\"27\" y1=\"0\" x2=\"27\" y2=\"25\" />\n",
       "  <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n",
       "  <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n",
       "  <line x1=\"32\" y1=\"0\" x2=\"32\" y2=\"25\" />\n",
       "  <line x1=\"33\" y1=\"0\" x2=\"33\" y2=\"25\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"25\" />\n",
       "  <line x1=\"35\" y1=\"0\" x2=\"35\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 35.441701127097055,0.0 35.441701127097055,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"17.720851\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >252</text>\n",
       "  <text x=\"55.441701\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,55.441701,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"120\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"105\" y1=\"9\" x2=\"120\" y2=\"24\" />\n",
       "  <line x1=\"105\" y1=\"14\" x2=\"120\" y2=\"29\" />\n",
       "  <line x1=\"105\" y1=\"18\" x2=\"120\" y2=\"34\" />\n",
       "  <line x1=\"105\" y1=\"18\" x2=\"120\" y2=\"34\" />\n",
       "  <line x1=\"105\" y1=\"28\" x2=\"120\" y2=\"43\" />\n",
       "  <line x1=\"105\" y1=\"28\" x2=\"120\" y2=\"43\" />\n",
       "  <line x1=\"105\" y1=\"37\" x2=\"120\" y2=\"53\" />\n",
       "  <line x1=\"105\" y1=\"37\" x2=\"120\" y2=\"53\" />\n",
       "  <line x1=\"105\" y1=\"42\" x2=\"120\" y2=\"57\" />\n",
       "  <line x1=\"105\" y1=\"47\" x2=\"120\" y2=\"62\" />\n",
       "  <line x1=\"105\" y1=\"56\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"107\" y1=\"2\" x2=\"107\" y2=\"58\" />\n",
       "  <line x1=\"108\" y1=\"3\" x2=\"108\" y2=\"59\" />\n",
       "  <line x1=\"109\" y1=\"4\" x2=\"109\" y2=\"60\" />\n",
       "  <line x1=\"110\" y1=\"5\" x2=\"110\" y2=\"61\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"111\" y2=\"62\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"111\" y2=\"63\" />\n",
       "  <line x1=\"113\" y1=\"8\" x2=\"113\" y2=\"65\" />\n",
       "  <line x1=\"114\" y1=\"9\" x2=\"114\" y2=\"65\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"115\" y2=\"67\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"115\" y2=\"67\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"117\" y2=\"68\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"117\" y2=\"69\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"71\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"105.0,0.0 120.36832903813308,15.368329038133076 120.36832903813308,72.06277348257753 105.0,56.69444444444445\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"225\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"107\" y1=\"2\" x2=\"227\" y2=\"2\" />\n",
       "  <line x1=\"108\" y1=\"3\" x2=\"228\" y2=\"3\" />\n",
       "  <line x1=\"109\" y1=\"4\" x2=\"229\" y2=\"4\" />\n",
       "  <line x1=\"110\" y1=\"5\" x2=\"230\" y2=\"5\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"231\" y2=\"6\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"231\" y2=\"6\" />\n",
       "  <line x1=\"113\" y1=\"8\" x2=\"233\" y2=\"8\" />\n",
       "  <line x1=\"114\" y1=\"9\" x2=\"234\" y2=\"9\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"235\" y2=\"10\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"235\" y2=\"10\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"237\" y2=\"12\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"237\" y2=\"12\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"120\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"125\" y1=\"0\" x2=\"140\" y2=\"15\" />\n",
       "  <line x1=\"135\" y1=\"0\" x2=\"150\" y2=\"15\" />\n",
       "  <line x1=\"145\" y1=\"0\" x2=\"160\" y2=\"15\" />\n",
       "  <line x1=\"165\" y1=\"0\" x2=\"180\" y2=\"15\" />\n",
       "  <line x1=\"185\" y1=\"0\" x2=\"200\" y2=\"15\" />\n",
       "  <line x1=\"195\" y1=\"0\" x2=\"210\" y2=\"15\" />\n",
       "  <line x1=\"205\" y1=\"0\" x2=\"220\" y2=\"15\" />\n",
       "  <line x1=\"225\" y1=\"0\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"105.0,0.0 225.0,0.0 240.36832903813308,15.368329038133076 120.36832903813308,15.368329038133076\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"24\" x2=\"240\" y2=\"24\" />\n",
       "  <line x1=\"120\" y1=\"29\" x2=\"240\" y2=\"29\" />\n",
       "  <line x1=\"120\" y1=\"34\" x2=\"240\" y2=\"34\" />\n",
       "  <line x1=\"120\" y1=\"34\" x2=\"240\" y2=\"34\" />\n",
       "  <line x1=\"120\" y1=\"43\" x2=\"240\" y2=\"43\" />\n",
       "  <line x1=\"120\" y1=\"43\" x2=\"240\" y2=\"43\" />\n",
       "  <line x1=\"120\" y1=\"53\" x2=\"240\" y2=\"53\" />\n",
       "  <line x1=\"120\" y1=\"53\" x2=\"240\" y2=\"53\" />\n",
       "  <line x1=\"120\" y1=\"57\" x2=\"240\" y2=\"57\" />\n",
       "  <line x1=\"120\" y1=\"62\" x2=\"240\" y2=\"62\" />\n",
       "  <line x1=\"120\" y1=\"72\" x2=\"240\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"140\" y1=\"15\" x2=\"140\" y2=\"72\" />\n",
       "  <line x1=\"150\" y1=\"15\" x2=\"150\" y2=\"72\" />\n",
       "  <line x1=\"160\" y1=\"15\" x2=\"160\" y2=\"72\" />\n",
       "  <line x1=\"180\" y1=\"15\" x2=\"180\" y2=\"72\" />\n",
       "  <line x1=\"200\" y1=\"15\" x2=\"200\" y2=\"72\" />\n",
       "  <line x1=\"210\" y1=\"15\" x2=\"210\" y2=\"72\" />\n",
       "  <line x1=\"220\" y1=\"15\" x2=\"220\" y2=\"72\" />\n",
       "  <line x1=\"240\" y1=\"15\" x2=\"240\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"120.36832903813308,15.368329038133076 240.36832903813308,15.368329038133076 240.36832903813308,72.06277348257753 120.36832903813308,72.06277348257753\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"180.368329\" y=\"92.062773\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
       "  <text x=\"260.368329\" y=\"43.715551\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,260.368329,43.715551)\">2041</text>\n",
       "  <text x=\"102.684165\" y=\"84.378609\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,102.684165,84.378609)\">50</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>so</span></div><div class='xr-var-dims'>(time, depth, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 7, 341, 720), meta=np.ndarray&gt;</div><input id='attrs-bbbcf5d3-ceca-4987-a409-782e96db0315' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbbcf5d3-ceca-4987-a409-782e96db0315' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c27c77f-21f0-4aa3-a3fd-d96621293bb3' class='xr-var-data-in' type='checkbox'><label for='data-6c27c77f-21f0-4aa3-a3fd-d96621293bb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>1e-3</dd><dt><span>unit_long :</span></dt><dd>Practical Salinity Unit</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>valid_max :</span></dt><dd>27353</dd><dt><span>cell_methods :</span></dt><dd>area: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 827.73 GiB </td>\n",
       "                        <td> 13.11 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (252, 50, 2041, 4320) </td>\n",
       "                        <td> (1, 7, 341, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 310464 chunks in 757 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"395\" height=\"122\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"35\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"35\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" />\n",
       "  <line x1=\"2\" y1=\"0\" x2=\"2\" y2=\"25\" />\n",
       "  <line x1=\"3\" y1=\"0\" x2=\"3\" y2=\"25\" />\n",
       "  <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"25\" />\n",
       "  <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n",
       "  <line x1=\"6\" y1=\"0\" x2=\"6\" y2=\"25\" />\n",
       "  <line x1=\"7\" y1=\"0\" x2=\"7\" y2=\"25\" />\n",
       "  <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"25\" />\n",
       "  <line x1=\"9\" y1=\"0\" x2=\"9\" y2=\"25\" />\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" />\n",
       "  <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n",
       "  <line x1=\"13\" y1=\"0\" x2=\"13\" y2=\"25\" />\n",
       "  <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n",
       "  <line x1=\"15\" y1=\"0\" x2=\"15\" y2=\"25\" />\n",
       "  <line x1=\"16\" y1=\"0\" x2=\"16\" y2=\"25\" />\n",
       "  <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n",
       "  <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
       "  <line x1=\"19\" y1=\"0\" x2=\"19\" y2=\"25\" />\n",
       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"25\" />\n",
       "  <line x1=\"22\" y1=\"0\" x2=\"22\" y2=\"25\" />\n",
       "  <line x1=\"23\" y1=\"0\" x2=\"23\" y2=\"25\" />\n",
       "  <line x1=\"24\" y1=\"0\" x2=\"24\" y2=\"25\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n",
       "  <line x1=\"26\" y1=\"0\" x2=\"26\" y2=\"25\" />\n",
       "  <line x1=\"27\" y1=\"0\" x2=\"27\" y2=\"25\" />\n",
       "  <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" />\n",
       "  <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n",
       "  <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n",
       "  <line x1=\"32\" y1=\"0\" x2=\"32\" y2=\"25\" />\n",
       "  <line x1=\"33\" y1=\"0\" x2=\"33\" y2=\"25\" />\n",
       "  <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"25\" />\n",
       "  <line x1=\"35\" y1=\"0\" x2=\"35\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 35.441701127097055,0.0 35.441701127097055,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"17.720851\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >252</text>\n",
       "  <text x=\"55.441701\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,55.441701,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"120\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"105\" y1=\"9\" x2=\"120\" y2=\"24\" />\n",
       "  <line x1=\"105\" y1=\"14\" x2=\"120\" y2=\"29\" />\n",
       "  <line x1=\"105\" y1=\"18\" x2=\"120\" y2=\"34\" />\n",
       "  <line x1=\"105\" y1=\"18\" x2=\"120\" y2=\"34\" />\n",
       "  <line x1=\"105\" y1=\"28\" x2=\"120\" y2=\"43\" />\n",
       "  <line x1=\"105\" y1=\"28\" x2=\"120\" y2=\"43\" />\n",
       "  <line x1=\"105\" y1=\"37\" x2=\"120\" y2=\"53\" />\n",
       "  <line x1=\"105\" y1=\"37\" x2=\"120\" y2=\"53\" />\n",
       "  <line x1=\"105\" y1=\"42\" x2=\"120\" y2=\"57\" />\n",
       "  <line x1=\"105\" y1=\"47\" x2=\"120\" y2=\"62\" />\n",
       "  <line x1=\"105\" y1=\"56\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"56\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"107\" y1=\"2\" x2=\"107\" y2=\"58\" />\n",
       "  <line x1=\"108\" y1=\"3\" x2=\"108\" y2=\"59\" />\n",
       "  <line x1=\"109\" y1=\"4\" x2=\"109\" y2=\"60\" />\n",
       "  <line x1=\"110\" y1=\"5\" x2=\"110\" y2=\"61\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"111\" y2=\"62\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"111\" y2=\"63\" />\n",
       "  <line x1=\"113\" y1=\"8\" x2=\"113\" y2=\"65\" />\n",
       "  <line x1=\"114\" y1=\"9\" x2=\"114\" y2=\"65\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"115\" y2=\"67\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"115\" y2=\"67\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"117\" y2=\"68\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"117\" y2=\"69\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"71\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"105.0,0.0 120.36832903813308,15.368329038133076 120.36832903813308,72.06277348257753 105.0,56.69444444444445\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"225\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"107\" y1=\"2\" x2=\"227\" y2=\"2\" />\n",
       "  <line x1=\"108\" y1=\"3\" x2=\"228\" y2=\"3\" />\n",
       "  <line x1=\"109\" y1=\"4\" x2=\"229\" y2=\"4\" />\n",
       "  <line x1=\"110\" y1=\"5\" x2=\"230\" y2=\"5\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"231\" y2=\"6\" />\n",
       "  <line x1=\"111\" y1=\"6\" x2=\"231\" y2=\"6\" />\n",
       "  <line x1=\"113\" y1=\"8\" x2=\"233\" y2=\"8\" />\n",
       "  <line x1=\"114\" y1=\"9\" x2=\"234\" y2=\"9\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"235\" y2=\"10\" />\n",
       "  <line x1=\"115\" y1=\"10\" x2=\"235\" y2=\"10\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"237\" y2=\"12\" />\n",
       "  <line x1=\"117\" y1=\"12\" x2=\"237\" y2=\"12\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" />\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"105\" y1=\"0\" x2=\"120\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"125\" y1=\"0\" x2=\"140\" y2=\"15\" />\n",
       "  <line x1=\"135\" y1=\"0\" x2=\"150\" y2=\"15\" />\n",
       "  <line x1=\"145\" y1=\"0\" x2=\"160\" y2=\"15\" />\n",
       "  <line x1=\"165\" y1=\"0\" x2=\"180\" y2=\"15\" />\n",
       "  <line x1=\"185\" y1=\"0\" x2=\"200\" y2=\"15\" />\n",
       "  <line x1=\"195\" y1=\"0\" x2=\"210\" y2=\"15\" />\n",
       "  <line x1=\"205\" y1=\"0\" x2=\"220\" y2=\"15\" />\n",
       "  <line x1=\"225\" y1=\"0\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"105.0,0.0 225.0,0.0 240.36832903813308,15.368329038133076 120.36832903813308,15.368329038133076\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"240\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"24\" x2=\"240\" y2=\"24\" />\n",
       "  <line x1=\"120\" y1=\"29\" x2=\"240\" y2=\"29\" />\n",
       "  <line x1=\"120\" y1=\"34\" x2=\"240\" y2=\"34\" />\n",
       "  <line x1=\"120\" y1=\"34\" x2=\"240\" y2=\"34\" />\n",
       "  <line x1=\"120\" y1=\"43\" x2=\"240\" y2=\"43\" />\n",
       "  <line x1=\"120\" y1=\"43\" x2=\"240\" y2=\"43\" />\n",
       "  <line x1=\"120\" y1=\"53\" x2=\"240\" y2=\"53\" />\n",
       "  <line x1=\"120\" y1=\"53\" x2=\"240\" y2=\"53\" />\n",
       "  <line x1=\"120\" y1=\"57\" x2=\"240\" y2=\"57\" />\n",
       "  <line x1=\"120\" y1=\"62\" x2=\"240\" y2=\"62\" />\n",
       "  <line x1=\"120\" y1=\"72\" x2=\"240\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"120\" y1=\"15\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"140\" y1=\"15\" x2=\"140\" y2=\"72\" />\n",
       "  <line x1=\"150\" y1=\"15\" x2=\"150\" y2=\"72\" />\n",
       "  <line x1=\"160\" y1=\"15\" x2=\"160\" y2=\"72\" />\n",
       "  <line x1=\"180\" y1=\"15\" x2=\"180\" y2=\"72\" />\n",
       "  <line x1=\"200\" y1=\"15\" x2=\"200\" y2=\"72\" />\n",
       "  <line x1=\"210\" y1=\"15\" x2=\"210\" y2=\"72\" />\n",
       "  <line x1=\"220\" y1=\"15\" x2=\"220\" y2=\"72\" />\n",
       "  <line x1=\"240\" y1=\"15\" x2=\"240\" y2=\"72\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"120.36832903813308,15.368329038133076 240.36832903813308,15.368329038133076 240.36832903813308,72.06277348257753 120.36832903813308,72.06277348257753\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"180.368329\" y=\"92.062773\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
       "  <text x=\"260.368329\" y=\"43.715551\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,260.368329,43.715551)\">2041</text>\n",
       "  <text x=\"102.684165\" y=\"84.378609\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,102.684165,84.378609)\">50</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-b12a5a03-c976-4c58-8529-a20d6131b692' class='xr-section-summary-in' type='checkbox'  ><label for='section-b12a5a03-c976-4c58-8529-a20d6131b692' class='xr-section-summary' >Indexes: <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-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1f92934e-638f-4826-a457-8ee0e83284d7' class='xr-index-data-in' type='checkbox'/><label for='index-1f92934e-638f-4826-a457-8ee0e83284d7' 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([            -180.0, -179.9166717529297, -179.8333282470703,\n",
       "                  -179.75, -179.6666717529297, -179.5833282470703,\n",
       "                   -179.5, -179.4166717529297, -179.3333282470703,\n",
       "                  -179.25,\n",
       "       ...\n",
       "        179.1666717529297,             179.25,  179.3333282470703,\n",
       "        179.4166717529297,              179.5,  179.5833282470703,\n",
       "        179.6666717529297,             179.75,  179.8333282470703,\n",
       "        179.9166717529297],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;, length=4320))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3c23a0aa-edbe-44c9-b0cd-41c60dd29441' class='xr-index-data-in' type='checkbox'/><label for='index-3c23a0aa-edbe-44c9-b0cd-41c60dd29441' 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([             -80.0, -79.91666412353516, -79.83333587646484,\n",
       "                   -79.75, -79.66666412353516, -79.58333587646484,\n",
       "                    -79.5, -79.41666412353516, -79.33333587646484,\n",
       "                   -79.25,\n",
       "       ...\n",
       "                    89.25,  89.33333587646484,  89.41666412353516,\n",
       "                     89.5,  89.58333587646484,  89.66666412353516,\n",
       "                    89.75,  89.83333587646484,  89.91666412353516,\n",
       "                     90.0],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;, length=2041))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>depth</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8cfe2bd8-a3e6-4989-903b-2a2e1e011730' class='xr-index-data-in' type='checkbox'/><label for='index-8cfe2bd8-a3e6-4989-903b-2a2e1e011730' 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([0.49402499198913574,  1.5413750410079956,  2.6456689834594727,\n",
       "        3.8194949626922607,   5.078224182128906,   6.440614223480225,\n",
       "          7.92956018447876,   9.572997093200684,  11.404999732971191,\n",
       "        13.467140197753906,  15.810070037841797,  18.495559692382812,\n",
       "        21.598819732666016,  25.211410522460938,  29.444730758666992,\n",
       "         34.43415069580078,  40.344051361083984,   47.37369155883789,\n",
       "         55.76428985595703,   65.80726623535156,   77.85385131835938,\n",
       "          92.3260726928711,  109.72930145263672,  130.66600036621094,\n",
       "        155.85069274902344,  186.12559509277344,  222.47520446777344,\n",
       "         266.0403137207031,   318.1274108886719,   380.2130126953125,\n",
       "         453.9377136230469,   541.0889282226562,   643.5667724609375,\n",
       "         763.3331298828125,   902.3392944335938,    1062.43994140625,\n",
       "            1245.291015625,     1452.2509765625,  1684.2840576171875,\n",
       "        1941.8929443359375,   2225.077880859375,        2533.3359375,\n",
       "         2865.702880859375,   3220.820068359375,   3597.031982421875,\n",
       "          3992.48388671875,    4405.22412109375,      4833.291015625,\n",
       "           5274.7841796875,     5727.9169921875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;depth&#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-a7972d94-9334-4956-a285-aed801e67404' class='xr-index-data-in' type='checkbox'/><label for='index-a7972d94-9334-4956-a285-aed801e67404' 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;2000-01-16 12:00:00&#x27;, &#x27;2000-02-15 12:00:00&#x27;,\n",
       "               &#x27;2000-03-16 12:00:00&#x27;, &#x27;2000-04-16 00:00:00&#x27;,\n",
       "               &#x27;2000-05-16 12:00:00&#x27;, &#x27;2000-06-16 00:00:00&#x27;,\n",
       "               &#x27;2000-07-16 12:00:00&#x27;, &#x27;2000-08-16 12:00:00&#x27;,\n",
       "               &#x27;2000-09-16 00:00:00&#x27;, &#x27;2000-10-16 12:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2020-03-16 12:00:00&#x27;, &#x27;2020-04-16 00:00:00&#x27;,\n",
       "               &#x27;2020-05-16 12:00:00&#x27;, &#x27;2020-06-16 00:00:00&#x27;,\n",
       "               &#x27;2020-07-16 12:00:00&#x27;, &#x27;2020-08-16 12:00:00&#x27;,\n",
       "               &#x27;2020-09-16 00:00:00&#x27;, &#x27;2020-10-16 12:00:00&#x27;,\n",
       "               &#x27;2020-11-16 00:00:00&#x27;, &#x27;2020-12-16 12:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=252, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b21e6397-ff96-467e-8f85-62554f34716e' class='xr-section-summary-in' type='checkbox'  ><label for='section-b21e6397-ff96-467e-8f85-62554f34716e' class='xr-section-summary' >Attributes: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Monthly mean fields for product GLOBAL_REANALYSIS_PHY_001_030</dd><dt><span>references :</span></dt><dd>http://marine.copernicus.eu</dd><dt><span>credit :</span></dt><dd>E.U. Copernicus Marine Service Information (CMEMS)</dd><dt><span>licence :</span></dt><dd>http://marine.copernicus.eu/services-portfolio/service-commitments-and-licence/</dd><dt><span>contact :</span></dt><dd>servicedesk.cmems@mercator-ocean.eu</dd><dt><span>producer :</span></dt><dd>CMEMS - Global Monitoring and Forecasting Centre</dd><dt><span>institution :</span></dt><dd>Mercator Ocean</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>area :</span></dt><dd>GLOBAL</dd><dt><span>product :</span></dt><dd>GLOBAL_REANALYSIS_001_030</dd><dt><span>dataset :</span></dt><dd>global-reanalysis-001-030-monthly</dd><dt><span>source :</span></dt><dd>MERCATOR GLORYS12V1</dd><dt><span>product_user_manual :</span></dt><dd>http://marine.copernicus.eu/documents/PUM/CMEMS-GLO-PUM-001-030.pdf</dd><dt><span>quality_information_document :</span></dt><dd>http://marine.copernicus.eu/documents/QUID/CMEMS-GLO-QUID-001-030.pdf</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 2TB\n",
       "Dimensions:    (longitude: 4320, latitude: 2041, depth: 50, time: 252)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 17kB -180.0 -179.9 -179.8 ... 179.8 179.9\n",
       "  * latitude   (latitude) float32 8kB -80.0 -79.92 -79.83 ... 89.83 89.92 90.0\n",
       "  * depth      (depth) float32 200B 0.494 1.541 2.646 ... 5.275e+03 5.728e+03\n",
       "  * time       (time) datetime64[ns] 2kB 2000-01-16T12:00:00 ... 2020-12-16T1...\n",
       "Data variables:\n",
       "    thetao     (time, depth, latitude, longitude) float64 889GB dask.array<chunksize=(1, 7, 341, 720), meta=np.ndarray>\n",
       "    so         (time, depth, latitude, longitude) float64 889GB dask.array<chunksize=(1, 7, 341, 720), meta=np.ndarray>\n",
       "Attributes: (12/14)\n",
       "    title:                         Monthly mean fields for product GLOBAL_REA...\n",
       "    references:                    http://marine.copernicus.eu\n",
       "    credit:                        E.U. Copernicus Marine Service Information...\n",
       "    licence:                       http://marine.copernicus.eu/services-portf...\n",
       "    contact:                       servicedesk.cmems@mercator-ocean.eu\n",
       "    producer:                      CMEMS - Global Monitoring and Forecasting ...\n",
       "    ...                            ...\n",
       "    area:                          GLOBAL\n",
       "    product:                       GLOBAL_REANALYSIS_001_030\n",
       "    dataset:                       global-reanalysis-001-030-monthly\n",
       "    source:                        MERCATOR GLORYS12V1\n",
       "    product_user_manual:           http://marine.copernicus.eu/documents/PUM/...\n",
       "    quality_information_document:  http://marine.copernicus.eu/documents/QUID..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "GL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cb61952d-c3e6-4db2-8441-ae597c9dcd16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1 , 1 , figsize = (14,8))\n",
    "ax.plot(GL.time,\n",
    "        GL.thetao.mean(dim='latitude').mean(dim='longitude').sel(depth=slice(0,2000)).mean('depth'))\n",
    "ax.grid(linestyle='-', linewidth=.9);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "69290d2b-0369-4d1d-b504-1c214596e650",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "cb98ffa5-2a44-49a0-a32d-f76201d8205e",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[17], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mGL\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_netcdf\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m./Data/GLORYS_Global_\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[38;5;28;43mstr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mGL\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtime\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstrftime\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mY-\u001b[39;49m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mm\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m_\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[38;5;28;43mstr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mGL\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtime\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstrftime\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mY-\u001b[39;49m\u001b[38;5;124;43m%\u001b[39;49m\u001b[38;5;124;43mm\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m.nc\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/conda/envs/ocean/lib/python3.11/site-packages/xarray/core/dataset.py:2298\u001b[0m, in \u001b[0;36mDataset.to_netcdf\u001b[0;34m(self, path, mode, format, group, engine, encoding, unlimited_dims, compute, invalid_netcdf)\u001b[0m\n\u001b[1;32m   2295\u001b[0m     encoding \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m   2296\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mxarray\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbackends\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapi\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m to_netcdf\n\u001b[0;32m-> 2298\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mto_netcdf\u001b[49m\u001b[43m(\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# type: ignore  # mypy cannot resolve the overloads:(\u001b[39;49;00m\n\u001b[1;32m   2299\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2300\u001b[0m \u001b[43m    \u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2301\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2302\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2303\u001b[0m \u001b[43m    \u001b[49m\u001b[43mgroup\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgroup\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2304\u001b[0m \u001b[43m    \u001b[49m\u001b[43mengine\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2305\u001b[0m \u001b[43m    \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2306\u001b[0m \u001b[43m    \u001b[49m\u001b[43munlimited_dims\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43munlimited_dims\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2307\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcompute\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcompute\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2308\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmultifile\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m   2309\u001b[0m \u001b[43m    \u001b[49m\u001b[43minvalid_netcdf\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minvalid_netcdf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2310\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/conda/envs/ocean/lib/python3.11/site-packages/xarray/backends/api.py:1348\u001b[0m, in \u001b[0;36mto_netcdf\u001b[0;34m(dataset, path_or_file, mode, format, group, engine, encoding, unlimited_dims, compute, multifile, invalid_netcdf)\u001b[0m\n\u001b[1;32m   1345\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m multifile:\n\u001b[1;32m   1346\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m writer, store\n\u001b[0;32m-> 1348\u001b[0m writes \u001b[38;5;241m=\u001b[39m \u001b[43mwriter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msync\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcompute\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcompute\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1350\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(target, BytesIO):\n\u001b[1;32m   1351\u001b[0m     store\u001b[38;5;241m.\u001b[39msync()\n",
      "File \u001b[0;32m/opt/conda/envs/ocean/lib/python3.11/site-packages/xarray/backends/common.py:297\u001b[0m, in \u001b[0;36mArrayWriter.sync\u001b[0;34m(self, compute, chunkmanager_store_kwargs)\u001b[0m\n\u001b[1;32m    294\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunkmanager_store_kwargs \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    295\u001b[0m     chunkmanager_store_kwargs \u001b[38;5;241m=\u001b[39m {}\n\u001b[0;32m--> 297\u001b[0m delayed_store \u001b[38;5;241m=\u001b[39m \u001b[43mchunkmanager\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstore\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    298\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msources\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    299\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtargets\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    300\u001b[0m \u001b[43m    \u001b[49m\u001b[43mlock\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlock\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    301\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcompute\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcompute\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    302\u001b[0m \u001b[43m    \u001b[49m\u001b[43mflush\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    303\u001b[0m \u001b[43m    \u001b[49m\u001b[43mregions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mregions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    304\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mchunkmanager_store_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    305\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    306\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msources \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m    307\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtargets \u001b[38;5;241m=\u001b[39m []\n",
      "File \u001b[0;32m/opt/conda/envs/ocean/lib/python3.11/site-packages/xarray/namedarray/daskmanager.py:249\u001b[0m, in \u001b[0;36mDaskManager.store\u001b[0;34m(self, sources, targets, **kwargs)\u001b[0m\n\u001b[1;32m    241\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mstore\u001b[39m(\n\u001b[1;32m    242\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m    243\u001b[0m     sources: Any \u001b[38;5;241m|\u001b[39m Sequence[Any],\n\u001b[1;32m    244\u001b[0m     targets: Any,\n\u001b[1;32m    245\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any,\n\u001b[1;32m    246\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m    247\u001b[0m     \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdask\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01marray\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m store\n\u001b[0;32m--> 249\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mstore\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    250\u001b[0m \u001b[43m        \u001b[49m\u001b[43msources\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msources\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    251\u001b[0m \u001b[43m        \u001b[49m\u001b[43mtargets\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtargets\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    252\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    253\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/conda/envs/ocean/lib/python3.11/site-packages/dask/array/core.py:1236\u001b[0m, in \u001b[0;36mstore\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m   1234\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m compute:\n\u001b[1;32m   1235\u001b[0m     store_dsk \u001b[38;5;241m=\u001b[39m HighLevelGraph(layers, dependencies)\n\u001b[0;32m-> 1236\u001b[0m     \u001b[43mcompute_as_if_collection\u001b[49m\u001b[43m(\u001b[49m\u001b[43mArray\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstore_dsk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmap_keys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1237\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m   1239\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
      "File \u001b[0;32m/opt/conda/envs/ocean/lib/python3.11/site-packages/dask/base.py:369\u001b[0m, in \u001b[0;36mcompute_as_if_collection\u001b[0;34m(cls, dsk, keys, scheduler, get, **kwargs)\u001b[0m\n\u001b[1;32m    367\u001b[0m schedule \u001b[38;5;241m=\u001b[39m get_scheduler(scheduler\u001b[38;5;241m=\u001b[39mscheduler, \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mcls\u001b[39m, get\u001b[38;5;241m=\u001b[39mget)\n\u001b[1;32m    368\u001b[0m dsk2 \u001b[38;5;241m=\u001b[39m optimization_function(\u001b[38;5;28mcls\u001b[39m)(dsk, keys, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m--> 369\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mschedule\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdsk2\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/conda/envs/ocean/lib/python3.11/site-packages/dask/threaded.py:90\u001b[0m, in \u001b[0;36mget\u001b[0;34m(dsk, keys, cache, num_workers, pool, **kwargs)\u001b[0m\n\u001b[1;32m     87\u001b[0m     \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(pool, multiprocessing\u001b[38;5;241m.\u001b[39mpool\u001b[38;5;241m.\u001b[39mPool):\n\u001b[1;32m     88\u001b[0m         pool \u001b[38;5;241m=\u001b[39m MultiprocessingPoolExecutor(pool)\n\u001b[0;32m---> 90\u001b[0m results \u001b[38;5;241m=\u001b[39m \u001b[43mget_async\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     91\u001b[0m \u001b[43m    \u001b[49m\u001b[43mpool\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msubmit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     92\u001b[0m \u001b[43m    \u001b[49m\u001b[43mpool\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_max_workers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     93\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdsk\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     94\u001b[0m \u001b[43m    \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     95\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcache\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     96\u001b[0m \u001b[43m    \u001b[49m\u001b[43mget_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_thread_get_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     97\u001b[0m \u001b[43m    \u001b[49m\u001b[43mpack_exception\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpack_exception\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     98\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     99\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    101\u001b[0m \u001b[38;5;66;03m# Cleanup pools associated to dead threads\u001b[39;00m\n\u001b[1;32m    102\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m pools_lock:\n",
      "File \u001b[0;32m/opt/conda/envs/ocean/lib/python3.11/site-packages/dask/local.py:501\u001b[0m, in \u001b[0;36mget_async\u001b[0;34m(submit, num_workers, dsk, result, cache, get_id, rerun_exceptions_locally, pack_exception, raise_exception, callbacks, dumps, loads, chunksize, **kwargs)\u001b[0m\n\u001b[1;32m    499\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m state[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwaiting\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;129;01mor\u001b[39;00m state[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mready\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;129;01mor\u001b[39;00m state[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrunning\u001b[39m\u001b[38;5;124m\"\u001b[39m]:\n\u001b[1;32m    500\u001b[0m     fire_tasks(chunksize)\n\u001b[0;32m--> 501\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m key, res_info, failed \u001b[38;5;129;01min\u001b[39;00m \u001b[43mqueue_get\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqueue\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mresult():\n\u001b[1;32m    502\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m failed:\n\u001b[1;32m    503\u001b[0m             exc, tb \u001b[38;5;241m=\u001b[39m loads(res_info)\n",
      "File \u001b[0;32m/opt/conda/envs/ocean/lib/python3.11/site-packages/dask/local.py:138\u001b[0m, in \u001b[0;36mqueue_get\u001b[0;34m(q)\u001b[0m\n\u001b[1;32m    137\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mqueue_get\u001b[39m(q):\n\u001b[0;32m--> 138\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mq\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/conda/envs/ocean/lib/python3.11/queue.py:171\u001b[0m, in \u001b[0;36mQueue.get\u001b[0;34m(self, block, timeout)\u001b[0m\n\u001b[1;32m    169\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    170\u001b[0m     \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_qsize():\n\u001b[0;32m--> 171\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnot_empty\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    172\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m timeout \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m    173\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtimeout\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m must be a non-negative number\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "File \u001b[0;32m/opt/conda/envs/ocean/lib/python3.11/threading.py:327\u001b[0m, in \u001b[0;36mCondition.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    325\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:    \u001b[38;5;66;03m# restore state no matter what (e.g., KeyboardInterrupt)\u001b[39;00m\n\u001b[1;32m    326\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 327\u001b[0m         \u001b[43mwaiter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    328\u001b[0m         gotit \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m    329\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "GL.to_netcdf('./Data/GLORYS_Global_'+str(GL.time[0].dt.strftime('%Y-%m').values)+'_'+str(GL.time[-1].dt.strftime('%Y-%m').values)+'.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4594277d-f81f-4162-bd64-36a871472b5d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ocean",
   "language": "python",
   "name": "ocean"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}