working_on_new_GOES_class.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from goes2go import GOES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "GOES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "╭───────────────────────────────╌┄┈\n",
       "│ 🌎 GOES Object   \n",
       "│ ───────────────\n",
       "│  self.satellite='noaa-goes17'\n",
       "│  self.product='ABI-L2-CMIPF'\n",
       "│  self.domain='F'\n",
       "│  self.bands=[13]\n",
       "│  self.description='Advanced Baseline Imager Level 2 Cloud and Moisture Imagery Full Disk'\n",
       "╰───────────────────────────────╌┄┈"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G = GOES(satellite=17, product=\"ABI-L2-CMIP\", domain=\"F\", bands=[13])\n",
    "G"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📦 Finished downloading [1] files to [/p/cwfs/blaylock/data/noaa-goes17/ABI-L2-ACMF].\n",
      "📚 Finished reading [1] files into xarray.Dataset.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      \n"
     ]
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                                                     (y: 5424,\n",
       "                                                                 x: 5424,\n",
       "                                                                 number_of_time_bounds: 2,\n",
       "                                                                 number_of_image_bounds: 2,\n",
       "                                                                 RTM_BT_comparison_bands: 2,\n",
       "                                                                 number_of_LZA_bounds: 2,\n",
       "                                                                 number_of_SZA_bounds: 2)\n",
       "Coordinates: (12/15)\n",
       "    t                                                           datetime64[ns] ...\n",
       "  * y                                                           (y) float32 0...\n",
       "  * x                                                           (x) float32 -...\n",
       "    y_image                                                     float32 0.0\n",
       "    x_image                                                     float32 0.0\n",
       "    retrieval_local_zenith_angle                                float32 90.0\n",
       "    ...                                                          ...\n",
       "    RTM_BT_comparison_wavelengths                               (RTM_BT_comparison_bands) float32 ...\n",
       "    RTM_BT_comparison_band_ids                                  (RTM_BT_comparison_bands) int8 ...\n",
       "    dataset_name                                                &lt;U72 &#x27;OR_ABI-...\n",
       "    date_created                                                &lt;U22 &#x27;2021-07...\n",
       "    time_coverage_start                                         &lt;U22 &#x27;2021-07...\n",
       "    time_coverage_end                                           &lt;U22 &#x27;2021-07...\n",
       "Dimensions without coordinates: number_of_time_bounds, number_of_image_bounds,\n",
       "                                RTM_BT_comparison_bands, number_of_LZA_bounds,\n",
       "                                number_of_SZA_bounds\n",
       "Data variables: (12/38)\n",
       "    BCM                                                         (y, x) float32 ...\n",
       "    DQF                                                         (y, x) float32 ...\n",
       "    time_bounds                                                 (number_of_time_bounds) datetime64[ns] ...\n",
       "    goes_imager_projection                                      int32 -214748...\n",
       "    y_image_bounds                                              (number_of_image_bounds) float32 ...\n",
       "    x_image_bounds                                              (number_of_image_bounds) float32 ...\n",
       "    ...                                                          ...\n",
       "    quantitative_local_zenith_angle_bounds                      (number_of_LZA_bounds) float32 ...\n",
       "    retrieval_solar_zenith_angle_bounds                         (number_of_SZA_bounds) float32 ...\n",
       "    twilight_solar_zenith_angle_bounds                          (number_of_SZA_bounds) float32 ...\n",
       "    percent_uncorrectable_GRB_errors                            float64 0.0\n",
       "    percent_uncorrectable_L0_errors                             float64 0.0\n",
       "    filename                                                    &lt;U108 &#x27;noaa-g...\n",
       "Attributes: (12/26)\n",
       "    naming_authority:          gov.nesdis.noaa\n",
       "    Conventions:               CF-1.7\n",
       "    Metadata_Conventions:      Unidata Dataset Discovery v1.0\n",
       "    standard_name_vocabulary:  CF Standard Name Table (v35, 20 July 2016)\n",
       "    institution:               DOC/NOAA/NESDIS &gt; U.S. Department of Commerce,...\n",
       "    project:                   GOES\n",
       "    ...                        ...\n",
       "    processing_level:          National Aeronautics and Space Administration ...\n",
       "    cdm_data_type:             Image\n",
       "    timeline_id:               ABI Mode 6\n",
       "    production_data_source:    Realtime\n",
       "    id:                        acaac04f-ab8f-4c4a-82c8-5129bac469d3\n",
       "    path:                      [&#x27;noaa-goes17/ABI-L2-ACMF/2021/200/21/OR_ABI-L...</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-42c0b7af-180c-42e6-97a9-3d23c3a34704' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-42c0b7af-180c-42e6-97a9-3d23c3a34704' 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'>y</span>: 5424</li><li><span class='xr-has-index'>x</span>: 5424</li><li><span>number_of_time_bounds</span>: 2</li><li><span>number_of_image_bounds</span>: 2</li><li><span>RTM_BT_comparison_bands</span>: 2</li><li><span>number_of_LZA_bounds</span>: 2</li><li><span>number_of_SZA_bounds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bc539ec3-eabd-42d6-9bc1-1789959de5bd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bc539ec3-eabd-42d6-9bc1-1789959de5bd' class='xr-section-summary' >Coordinates: <span>(15)</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>t</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c582cfb5-171a-4872-af73-7916d8b86665' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c582cfb5-171a-4872-af73-7916d8b86665' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9de8c1ec-e7c5-4fae-bedb-07e03eaaea5e' class='xr-var-data-in' type='checkbox'><label for='data-9de8c1ec-e7c5-4fae-bedb-07e03eaaea5e' title='Show/Hide data repr'><svg 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>J2000 epoch mid-point between the start and end image scan in seconds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-07-19T21:05:05.492656000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1518 0.1518 ... -0.1518 -0.1518</div><input id='attrs-c27bffa0-39dc-4352-bb89-9fe29faeb0b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c27bffa0-39dc-4352-bb89-9fe29faeb0b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0612a34-046f-4c12-a59a-06b8c8246226' class='xr-var-data-in' type='checkbox'><label for='data-f0612a34-046f-4c12-a59a-06b8c8246226' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>GOES fixed grid projection y-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.151844,  0.151788,  0.151732, ..., -0.151732, -0.151788, -0.151844],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.1518 -0.1518 ... 0.1518 0.1518</div><input id='attrs-58853308-3fb1-41f9-ae44-94b8e2abfae5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58853308-3fb1-41f9-ae44-94b8e2abfae5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81dba3bd-60dd-4241-808b-1f16adda2edc' class='xr-var-data-in' type='checkbox'><label for='data-81dba3bd-60dd-4241-808b-1f16adda2edc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>GOES fixed grid projection x-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-0.151844, -0.151788, -0.151732, ...,  0.151732,  0.151788,  0.151844],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_image</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7d6632bf-72f7-42f1-8acb-322bf9b8b4d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d6632bf-72f7-42f1-8acb-322bf9b8b4d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e19788a3-5d83-4e23-9b92-172f2eeb761e' class='xr-var-data-in' type='checkbox'><label for='data-e19788a3-5d83-4e23-9b92-172f2eeb761e' title='Show/Hide data repr'><svg 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>GOES-R fixed grid projection y-coordinate center of image</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(0., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_image</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-71c7a248-31a7-4af5-8e69-9cc319f25517' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71c7a248-31a7-4af5-8e69-9cc319f25517' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9073fcd2-c755-4c27-b4d7-6af33917c5f3' class='xr-var-data-in' type='checkbox'><label for='data-9073fcd2-c755-4c27-b4d7-6af33917c5f3' title='Show/Hide data repr'><svg 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>GOES-R fixed grid projection x-coordinate center of image</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(0., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>retrieval_local_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f0f07a7-3c1a-4989-9846-70bd09993b5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f0f07a7-3c1a-4989-9846-70bd09993b5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a3e5a26-66f0-4f1c-952e-a598e1477c1a' class='xr-var-data-in' type='checkbox'><label for='data-0a3e5a26-66f0-4f1c-952e-a598e1477c1a' title='Show/Hide data repr'><svg 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>threshold angle between the line of sight to the satellite and the local zenith at the observation target for good or degraded quality clear sky mask data production</dd><dt><span>standard_name :</span></dt><dd>platform_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>retrieval_local_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>array(90., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quantitative_local_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3cef0cb-6504-437a-b176-005c4f3c6f7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3cef0cb-6504-437a-b176-005c4f3c6f7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f569f992-e2b9-4450-816c-815a579af9d0' class='xr-var-data-in' type='checkbox'><label for='data-f569f992-e2b9-4450-816c-815a579af9d0' title='Show/Hide data repr'><svg 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>threshold angle between the line of sight to the satellite and the local zenith at the observation target for good quality clear sky mask data production</dd><dt><span>standard_name :</span></dt><dd>platform_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>quantitative_local_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>array(70., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>retrieval_solar_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69f6a541-6bf2-4a80-994a-e3b8d2d66eac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69f6a541-6bf2-4a80-994a-e3b8d2d66eac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-868232b5-2c95-41b7-bdd1-d0510dda59fe' class='xr-var-data-in' type='checkbox'><label for='data-868232b5-2c95-41b7-bdd1-d0510dda59fe' title='Show/Hide data repr'><svg 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>threshold angle between the line of sight to the sun and the local zenith at the observation target for good quality clear sky mask data production</dd><dt><span>standard_name :</span></dt><dd>solar_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>retrieval_solar_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>array(180., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>twilight_solar_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e673bd2d-fe49-4609-9086-bd81e388b6c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e673bd2d-fe49-4609-9086-bd81e388b6c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9e1eae0-497f-4dce-986d-6f20f6835826' class='xr-var-data-in' type='checkbox'><label for='data-f9e1eae0-497f-4dce-986d-6f20f6835826' title='Show/Hide data repr'><svg 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>midpoint of the twilight region for the angle between the line of sight to the sun and the local zenith at the observation target</dd><dt><span>standard_name :</span></dt><dd>solar_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>twilight_solar_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>array(90., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RTM_BT_comparison_wavelengths</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a1e37607-d9dd-4073-a89f-8a1c194d77d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1e37607-d9dd-4073-a89f-8a1c194d77d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0b6fc49-fc90-48a2-b71d-e3fdc731da42' class='xr-var-data-in' type='checkbox'><label for='data-c0b6fc49-fc90-48a2-b71d-e3fdc731da42' title='Show/Hide data repr'><svg 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>ABI center wavelengths associated with radiative transfer model&#x27;s brightness temperature comparison outputs</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>array([11.19, 12.27], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RTM_BT_comparison_band_ids</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-405bdcfa-d806-4976-bebf-0ab49e60327d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-405bdcfa-d806-4976-bebf-0ab49e60327d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-723a58bc-8f33-49c1-9915-e076e426de12' class='xr-var-data-in' type='checkbox'><label for='data-723a58bc-8f33-49c1-9915-e076e426de12' title='Show/Hide data repr'><svg 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>ABI band identifiers associated with radiative transfer model&#x27;s brightness temperature comparison outputs</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([14, 15], dtype=int8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dataset_name</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U72</div><div class='xr-var-preview xr-preview'>&#x27;OR_ABI-L2-ACMF-M6_G17_s20212002...</div><input id='attrs-888ad0de-784c-415c-8794-c33c0bdccd50' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-888ad0de-784c-415c-8794-c33c0bdccd50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-441bba63-71ba-4ded-b9ba-50cf980c2cf4' class='xr-var-data-in' type='checkbox'><label for='data-441bba63-71ba-4ded-b9ba-50cf980c2cf4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;OR_ABI-L2-ACMF-M6_G17_s20212002100321_e20212002109388_c20212002110059.nc&#x27;,\n",
       "      dtype=&#x27;&lt;U72&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>date_created</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U22</div><div class='xr-var-preview xr-preview'>&#x27;2021-07-19T21:10:05.9Z&#x27;</div><input id='attrs-789c5012-f57e-4441-a032-0d1e97dd7cee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-789c5012-f57e-4441-a032-0d1e97dd7cee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05010545-e907-468c-8732-decf2dc5fe8e' class='xr-var-data-in' type='checkbox'><label for='data-05010545-e907-468c-8732-decf2dc5fe8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-07-19T21:10:05.9Z&#x27;, dtype=&#x27;&lt;U22&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_coverage_start</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U22</div><div class='xr-var-preview xr-preview'>&#x27;2021-07-19T21:00:32.1Z&#x27;</div><input id='attrs-88b7e4b1-5874-4ca9-a60a-37ce02482bc7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-88b7e4b1-5874-4ca9-a60a-37ce02482bc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30eab640-2bd8-4cfe-95ec-fc6fa69724e3' class='xr-var-data-in' type='checkbox'><label for='data-30eab640-2bd8-4cfe-95ec-fc6fa69724e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-07-19T21:00:32.1Z&#x27;, dtype=&#x27;&lt;U22&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_coverage_end</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U22</div><div class='xr-var-preview xr-preview'>&#x27;2021-07-19T21:09:38.8Z&#x27;</div><input id='attrs-8bb314c3-5481-413a-a8cc-28f57683b50b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8bb314c3-5481-413a-a8cc-28f57683b50b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be84c68f-7906-4558-9834-f3c15a100209' class='xr-var-data-in' type='checkbox'><label for='data-be84c68f-7906-4558-9834-f3c15a100209' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-07-19T21:09:38.8Z&#x27;, dtype=&#x27;&lt;U22&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-50a1f098-0643-4e8d-a418-9318f32d8723' class='xr-section-summary-in' type='checkbox'  ><label for='section-50a1f098-0643-4e8d-a418-9318f32d8723' class='xr-section-summary' >Data variables: <span>(38)</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>BCM</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd5cfa35-4aa4-4e56-9ca7-0547261b1df0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd5cfa35-4aa4-4e56-9ca7-0547261b1df0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d5be274-b015-4dc1-a0d4-1fb7f14f6c81' class='xr-var-data-in' type='checkbox'><label for='data-2d5be274-b015-4dc1-a0d4-1fb7f14f6c81' title='Show/Hide data repr'><svg 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>ABI L2+ Clear Sky Mask</dd><dt><span>standard_name :</span></dt><dd>cloud_binary_mask</dd><dt><span>valid_range :</span></dt><dd>[0 1]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>retrieval_local_zenith_angle: point (good or degraded quality pixel produced) quantitative_local_zenith_angle: point (good quality pixel produced) retrieval_solar_zenith_angle: point (good quality pixel produced) t: point area: point</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>clear_or_probably_clear cloudy_or_probably_cloudy</dd><dt><span>ancillary_variables :</span></dt><dd>DQF</dd><dt><span>clear_pixel_definition :</span></dt><dd>no cloud detected and failed a test for high values of spatial heterogeneity</dd><dt><span>probably_clear_pixel_definition :</span></dt><dd>no cloud detected but passed a test for high values of spatial heterogeneity and one or more neighboring pixels identified as cloudy. pixel is possibly cloud-contaminated</dd><dt><span>probably_cloudy_pixel_definition :</span></dt><dd>cloud detected but likely contains a cloud edge, since one or more neighboring pixels are clear. pixel is probably cloud-contaminated</dd><dt><span>cloudy_pixel_definition :</span></dt><dd>cloud detected and failed a test for cloud edges</dd></dl></div><div class='xr-var-data'><pre>[29419776 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c91ef8e9-d79d-4373-a9ee-0d5cc3e21c71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c91ef8e9-d79d-4373-a9ee-0d5cc3e21c71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36759bb3-a5b2-4683-86e5-94599dc7144b' class='xr-var-data-in' type='checkbox'><label for='data-36759bb3-a5b2-4683-86e5-94599dc7144b' title='Show/Hide data repr'><svg 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>ABI L2+ Clear Sky Mask data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 6]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>retrieval_local_zenith_angle: point quantitative_local_zenith_angle: point retrieval_solar_zenith_angle: point t: point area: point</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4 5 6]</dd><dt><span>flag_meanings :</span></dt><dd>good_quality_qf invalid_due_to_not_geolocated_or_algorithm_non_execution_qf degraded_due_to_LZA_threshold_exceeded_qf invalid_due_to_bad_or_missing_input_band_14_brightness_temperature_qf degraded_due_to_bad_input_band_7_pixel_qf degraded_due_to_failed_band_2_tests_qf degraded_due_to_other_bad_bands_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>7</dd><dt><span>percent_good_quality_qf :</span></dt><dd>0.8816351</dd><dt><span>percent_invalid_due_to_not_geolocated_or_algorithm_non_execution_qf :</span></dt><dd>0.1284324</dd><dt><span>percent_degraded_due_to_LZA_threshold_exceeded_qf :</span></dt><dd>0.0891377</dd><dt><span>percent_invalid_due_to_bad_or_missing_input_band_14_brightness_temperature_qf :</span></dt><dd>0.0292272</dd><dt><span>percent_degraded_due_to_bad_input_band_7_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_degraded_due_to_failed_band_2_tests_qf :</span></dt><dd>0.0</dd><dt><span>percent_degraded_due_to_other_bad_bands_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[29419776 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bounds</span></div><div class='xr-var-dims'>(number_of_time_bounds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e7e80235-145e-4dc7-bbf9-31908511bbea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7e80235-145e-4dc7-bbf9-31908511bbea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0c3bd16-1d43-44fe-a3b7-6c792906b8c2' class='xr-var-data-in' type='checkbox'><label for='data-f0c3bd16-1d43-44fe-a3b7-6c792906b8c2' title='Show/Hide data repr'><svg 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>Scan start and end times in seconds since epoch (2000-01-01 12:00:00)</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-07-19T21:00:32.155169920&#x27;, &#x27;2021-07-19T21:09:38.830142080&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>goes_imager_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-85496ff7-fea0-48c8-b5ed-8cd4aae5323d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85496ff7-fea0-48c8-b5ed-8cd4aae5323d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52166499-6469-4f6f-bcf4-8f8024f34fee' class='xr-var-data-in' type='checkbox'><label for='data-52166499-6469-4f6f-bcf4-8f8024f34fee' title='Show/Hide data repr'><svg 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>GOES-R ABI fixed grid projection</dd><dt><span>grid_mapping_name :</span></dt><dd>geostationary</dd><dt><span>perspective_point_height :</span></dt><dd>35786023.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.31414</dd><dt><span>inverse_flattening :</span></dt><dd>298.2572221</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>-137.0</dd><dt><span>sweep_angle_axis :</span></dt><dd>x</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_image_bounds</span></div><div class='xr-var-dims'>(number_of_image_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b24bb23-a221-4ad8-8f5f-09962d68f995' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b24bb23-a221-4ad8-8f5f-09962d68f995' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7f04491-96d2-4f35-8651-2fffb32b2bc8' class='xr-var-data-in' type='checkbox'><label for='data-e7f04491-96d2-4f35-8651-2fffb32b2bc8' title='Show/Hide data repr'><svg 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>GOES-R fixed grid projection y-coordinate north/south extent of image</dd><dt><span>units :</span></dt><dd>rad</dd></dl></div><div class='xr-var-data'><pre>array([ 0.151872, -0.151872], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_image_bounds</span></div><div class='xr-var-dims'>(number_of_image_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-508d88f8-bdef-4b44-b415-e4f3c4cc654b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-508d88f8-bdef-4b44-b415-e4f3c4cc654b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9edb7308-65d6-4723-8e09-8a6b67421013' class='xr-var-data-in' type='checkbox'><label for='data-9edb7308-65d6-4723-8e09-8a6b67421013' title='Show/Hide data repr'><svg 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>GOES-R fixed grid projection x-coordinate west/east extent of image</dd><dt><span>units :</span></dt><dd>rad</dd></dl></div><div class='xr-var-data'><pre>array([-0.151872,  0.151872], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nominal_satellite_subpoint_lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-433c696f-81dd-4776-ad5b-75e131574750' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-433c696f-81dd-4776-ad5b-75e131574750' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74dd4f7b-e997-473b-b5e6-9a5d62c44049' class='xr-var-data-in' type='checkbox'><label for='data-74dd4f7b-e997-473b-b5e6-9a5d62c44049' title='Show/Hide data repr'><svg 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>nominal satellite subpoint latitude (platform latitude)</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nominal_satellite_subpoint_lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2eca4f6f-d872-4486-83c1-e0cc2f7b4456' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2eca4f6f-d872-4486-83c1-e0cc2f7b4456' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15cff09d-8377-4646-89af-dc49eca98bc1' class='xr-var-data-in' type='checkbox'><label for='data-15cff09d-8377-4646-89af-dc49eca98bc1' title='Show/Hide data repr'><svg 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>nominal satellite subpoint longitude (platform longitude)</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array(-137.199997)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nominal_satellite_height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-865fc538-8452-4687-97fa-4ea149f05886' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-865fc538-8452-4687-97fa-4ea149f05886' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fd531b2-73f2-4d89-bc5b-2ae2eb89a958' class='xr-var-data-in' type='checkbox'><label for='data-2fd531b2-73f2-4d89-bc5b-2ae2eb89a958' title='Show/Hide data repr'><svg 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>nominal satellite height above GRS 80 ellipsoid (platform altitude)</dd><dt><span>standard_name :</span></dt><dd>height_above_reference_ellipsoid</dd><dt><span>units :</span></dt><dd>km</dd></dl></div><div class='xr-var-data'><pre>array(35786.023438)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geospatial_lat_lon_extent</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-11a44be4-1db8-42d3-836f-45e91ff01c4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11a44be4-1db8-42d3-836f-45e91ff01c4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a48c582-473a-4ae9-9b70-a6aafbc969c4' class='xr-var-data-in' type='checkbox'><label for='data-7a48c582-473a-4ae9-9b70-a6aafbc969c4' title='Show/Hide data repr'><svg 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>geospatial latitude and longitude references</dd><dt><span>geospatial_westbound_longitude :</span></dt><dd>141.7005</dd><dt><span>geospatial_northbound_latitude :</span></dt><dd>81.3282</dd><dt><span>geospatial_eastbound_longitude :</span></dt><dd>-55.7005</dd><dt><span>geospatial_southbound_latitude :</span></dt><dd>-81.3282</dd><dt><span>geospatial_lat_center :</span></dt><dd>0.0</dd><dt><span>geospatial_lon_center :</span></dt><dd>-137.0</dd><dt><span>geospatial_lat_nadir :</span></dt><dd>0.0</dd><dt><span>geospatial_lon_nadir :</span></dt><dd>-137.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array(9.96921e+36, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_number_of_cloud_mask_points</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e02dc188-98f9-4fe0-92f9-01e49a4ea703' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e02dc188-98f9-4fe0-92f9-01e49a4ea703' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8b25011-fe86-4315-95a5-e6f0a8145d44' class='xr-var-data-in' type='checkbox'><label for='data-c8b25011-fe86-4315-95a5-e6f0a8145d44' title='Show/Hide data repr'><svg 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>total number of clear sky mask pixels</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(20318490.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_clear_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc587181-5189-4bd0-bf50-e9833ca2c7a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc587181-5189-4bd0-bf50-e9833ca2c7a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec9f583d-d50a-4dbd-bc73-c1dcfbe2264a' class='xr-var-data-in' type='checkbox'><label for='data-ec9f583d-d50a-4dbd-bc73-c1dcfbe2264a' title='Show/Hide data repr'><svg 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>number of clear pixels that do not exceed local zenith angle threshold</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array(4379912.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_probably_clear_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b87aa6a3-a84f-4a3a-9e8e-17040624d2ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b87aa6a3-a84f-4a3a-9e8e-17040624d2ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a31ec746-b293-4290-b26f-a4e129b64fa7' class='xr-var-data-in' type='checkbox'><label for='data-a31ec746-b293-4290-b26f-a4e129b64fa7' title='Show/Hide data repr'><svg 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>number of probably clear pixels (surrounding NxN pixels centered on pixel have high degree of spatial heterogeneity, and one or more adjacent pixels are identified as cloudy) that do not exceed local zenith angle threshold</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array(1944356.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_probably_cloudy_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-caab7931-946f-4c28-978e-28403a8556cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-caab7931-946f-4c28-978e-28403a8556cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61c9d4be-eade-4ffa-bc45-fd32cd8621e4' class='xr-var-data-in' type='checkbox'><label for='data-61c9d4be-eade-4ffa-bc45-fd32cd8621e4' title='Show/Hide data repr'><svg 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>number of probably cloudy pixels (cloud detected in pixel, likely contains a cloud edge, and one or more adjacent pixels are clear) that do not exceed local zenith angle threshold</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where cloud</dd></dl></div><div class='xr-var-data'><pre>array(2005823.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_cloudy_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-34a09aec-d3b1-437f-8b5a-33ae0915f48d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34a09aec-d3b1-437f-8b5a-33ae0915f48d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e335430-c102-436d-836c-a32487bd5241' class='xr-var-data-in' type='checkbox'><label for='data-3e335430-c102-436d-836c-a32487bd5241' title='Show/Hide data repr'><svg 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>number of cloudy pixels that do not exceed local zenith angle threshold</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where cloud</dd></dl></div><div class='xr-var-data'><pre>array(11988399.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_clear_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb397acc-3f8a-4253-aca1-f0c77ca7502c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb397acc-3f8a-4253-aca1-f0c77ca7502c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0e48458-2251-43f4-8dbb-9db6d13e50c5' class='xr-var-data-in' type='checkbox'><label for='data-d0e48458-2251-43f4-8dbb-9db6d13e50c5' title='Show/Hide data repr'><svg 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>percent of clear pixels that do not exceed local zenith angle threshold</dd><dt><span>standard_name :</span></dt><dd>clear_sky_area_fraction</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array(0.190048)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_probably_clear_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2d885820-4c46-4cd2-ab0e-270b6b1a0ffc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d885820-4c46-4cd2-ab0e-270b6b1a0ffc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-800a9020-877a-4e7a-8a41-71cd1b7ed11a' class='xr-var-data-in' type='checkbox'><label for='data-800a9020-877a-4e7a-8a41-71cd1b7ed11a' title='Show/Hide data repr'><svg 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>percent of probably clear pixels (surrounding NxN pixels centered on pixel have high degree of spatial heterogeneity, and one or more adjacent pixels are identified as cloudy) that do not exceed local zenith angle threshold</dd><dt><span>standard_name :</span></dt><dd>clear_sky_area_fraction</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array(0.084367)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_probably_cloudy_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c753f91b-b68d-4eb1-8825-70483a3b8551' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c753f91b-b68d-4eb1-8825-70483a3b8551' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70c57f4c-db0a-46da-b9fa-4462be867fb9' class='xr-var-data-in' type='checkbox'><label for='data-70c57f4c-db0a-46da-b9fa-4462be867fb9' title='Show/Hide data repr'><svg 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>percent of probably cloudy pixels (cloud detected in pixel, likely contains a cloud edge, and one or more adjacent pixels are clear) that do not exceed local zenith angle threshold</dd><dt><span>standard_name :</span></dt><dd>cloud_area_fraction</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle : sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where cloud</dd></dl></div><div class='xr-var-data'><pre>array(0.087034)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_cloudy_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d686bb8b-b454-4ea2-855d-99d385a90431' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d686bb8b-b454-4ea2-855d-99d385a90431' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7472e89-c3c6-4a20-80fb-24d8a57e7a8c' class='xr-var-data-in' type='checkbox'><label for='data-c7472e89-c3c6-4a20-80fb-24d8a57e7a8c' title='Show/Hide data repr'><svg 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>percent of cloudy pixels that do not exceed local zenith angle threshold</dd><dt><span>standard_name :</span></dt><dd>cloud_area_fraction</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where cloud</dd></dl></div><div class='xr-var-data'><pre>array(0.520186)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_terminator_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aec56a0e-ace2-4aff-a2c7-2a0381349ba8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aec56a0e-ace2-4aff-a2c7-2a0381349ba8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08734f2f-9d05-46fd-93cc-891b0e4a24de' class='xr-var-data-in' type='checkbox'><label for='data-08734f2f-9d05-46fd-93cc-891b0e4a24de' title='Show/Hide data repr'><svg 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>percent of pixels that are associated with the twilight solar zenith angle range</dd><dt><span>standard_name :</span></dt><dd>area_fraction_of_twilight_defined_by_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>retrieval_local_zenith_angle: sum twilight_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: geolocated/not missing pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(0.01206)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_obs_modeled_diff_RTM_BT_comparison_bands_all_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e399d0ff-0753-4766-ac36-4f699ed2c458' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e399d0ff-0753-4766-ac36-4f699ed2c458' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd7ea63a-73f5-4c3a-95b3-b76c76720dd0' class='xr-var-data-in' type='checkbox'><label for='data-fd7ea63a-73f5-4c3a-95b3-b76c76720dd0' title='Show/Hide data repr'><svg 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>minimum difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: minimum (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([-103.08444 ,  -94.827835], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_obs_modeled_diff_RTM_BT_comparison_bands_all_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d6067bdf-7eda-4039-b97e-3ebdb59a5fce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6067bdf-7eda-4039-b97e-3ebdb59a5fce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26f0bb2b-26df-4eb1-9e54-a8d5eb6a89df' class='xr-var-data-in' type='checkbox'><label for='data-26f0bb2b-26df-4eb1-9e54-a8d5eb6a89df' title='Show/Hide data repr'><svg 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>maximum difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: maximum (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([26.620728, 22.426666], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_obs_modeled_diff_RTM_BT_comparison_bands_all_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-191d864c-895f-4662-8fb9-bea8b7191f68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-191d864c-895f-4662-8fb9-bea8b7191f68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9a3fa34-0dc9-49f2-bb89-ff0abe5c1335' class='xr-var-data-in' type='checkbox'><label for='data-d9a3fa34-0dc9-49f2-bb89-ff0abe5c1335' title='Show/Hide data repr'><svg 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>mean difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: mean (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([-11.042196, -10.077215], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_obs_modeled_diff_RTM_BT_comparison_bands_all_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b3380d55-f0fa-4b45-bcf1-480947f84540' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3380d55-f0fa-4b45-bcf1-480947f84540' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50eb1ba1-e633-4957-8261-cf913532dad5' class='xr-var-data-in' type='checkbox'><label for='data-50eb1ba1-e633-4957-8261-cf913532dad5' title='Show/Hide data repr'><svg 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>standard deviation of the difference of the observed and modeled brightness temperature values (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: standard_deviation (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([17.06145 , 16.432896], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_obs_modeled_diff_RTM_BT_comparison_bands_clear_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e63febb7-f2db-43f3-a08a-80d8d99b965e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e63febb7-f2db-43f3-a08a-80d8d99b965e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-043ffd43-bc0f-4b98-96cf-7250431053f4' class='xr-var-data-in' type='checkbox'><label for='data-043ffd43-bc0f-4b98-96cf-7250431053f4' title='Show/Hide data repr'><svg 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>minimum difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths for the clear sky portion of image</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: minimum (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array([-21.617157, -17.318726], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_obs_modeled_diff_RTM_BT_comparison_bands_clear_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20dc390c-a81f-40dd-9701-264b8c097943' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20dc390c-a81f-40dd-9701-264b8c097943' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d07de0bf-c365-4238-bf7b-e2a92b9901f5' class='xr-var-data-in' type='checkbox'><label for='data-d07de0bf-c365-4238-bf7b-e2a92b9901f5' title='Show/Hide data repr'><svg 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>maximum difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths for the clear sky portion of image</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: maximum (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array([26.620728, 22.426666], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_obs_modeled_diff_RTM_BT_comparison_bands_clear_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2c35c30d-c1d4-40c2-97af-e2c6d518ad4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c35c30d-c1d4-40c2-97af-e2c6d518ad4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2a22171-f719-43d8-ae57-b78fa50174e9' class='xr-var-data-in' type='checkbox'><label for='data-a2a22171-f719-43d8-ae57-b78fa50174e9' title='Show/Hide data repr'><svg 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>mean difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths for the clear sky portion of image</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: mean (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array([0.082135, 0.351777], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_obs_modeled_diff_RTM_BT_comparison_bands_clear_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb4a5750-bafc-4415-9855-d085e91f264f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb4a5750-bafc-4415-9855-d085e91f264f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba338ea5-2bc4-4dc9-b391-258b1e106886' class='xr-var-data-in' type='checkbox'><label for='data-ba338ea5-2bc4-4dc9-b391-258b1e106886' title='Show/Hide data repr'><svg 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>standard deviation of the differences of the observed and modeled brightness temperature values (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths for the clear sky portion of image</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: standard_deviation (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array([1.185039, 1.092585], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>algorithm_dynamic_input_data_container</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b9db5f68-eb29-43d8-b914-b5acbea30257' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9db5f68-eb29-43d8-b914-b5acbea30257' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba8919f1-0426-4b1a-9b1e-fcf3d6e1ae19' class='xr-var-data-in' type='checkbox'><label for='data-ba8919f1-0426-4b1a-9b1e-fcf3d6e1ae19' title='Show/Hide data repr'><svg 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>container for filenames of dynamic algorithm input data</dd><dt><span>input_ABI_L2_auxiliary_solar_zenith_angle_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_auxiliary_scattering_angle_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_auxiliary_sunglint_angle_data :</span></dt><dd>null</dd><dt><span>input_ABI_L1b_radiance_band_7_2km_data :</span></dt><dd>OR_ABI-L1b-RADF-M6C07_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_14_2km_data :</span></dt><dd>OR_ABI-L1b-RADF-M6C14_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_9_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C09_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_10_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C10_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_11_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C11_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_14_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C14_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_15_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C15_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_16_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C16_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_intermediate_product_reflectance_band_2_2km_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_reflectance_band_4_2km_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_reflectance_band_5_2km_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_4_level_cloud_mask_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_radiance_band_7_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_radiance_band_14_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_cloudy_sky_radiance_band_14_profile_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_transmittance_band_7_profile_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_brightness_temperature_band_14_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_brightness_temperature_band_15_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_global_snow_mask_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_snow_mask_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_surface_temperature_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_total_precipitable_water_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_total_column_ozone_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_surface_level_index_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_tropopause_level_index_data :</span></dt><dd>null</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>processing_parm_version_container</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f673eb2c-2f2d-40b3-8b73-ceb5bcb0335d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f673eb2c-2f2d-40b3-8b73-ceb5bcb0335d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a550dc8-68e0-4b92-b4c4-51bb28542a31' class='xr-var-data-in' type='checkbox'><label for='data-8a550dc8-68e0-4b92-b4c4-51bb28542a31' title='Show/Hide data repr'><svg 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>container for processing parameter filenames</dd><dt><span>L2_processing_parm_version :</span></dt><dd>OR-PARM-ACM_v01r00.zip, OR-PARM-SEMISTATIC_v01r00.zip, OR-PARM-ANCILLARY_v01r00.zip, OR-PARM-AUXILIARY_v01r00.zip, OR-PARM-TARP_v01r00.zip</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>algorithm_product_version_container</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-75599878-92f3-41ed-b479-7d66e3544ed7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75599878-92f3-41ed-b479-7d66e3544ed7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20773061-37ea-4e7f-8e26-ed93a72c79d4' class='xr-var-data-in' type='checkbox'><label for='data-20773061-37ea-4e7f-8e26-ed93a72c79d4' title='Show/Hide data repr'><svg 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>container for algorithm package filename and product version</dd><dt><span>algorithm_version :</span></dt><dd>OR_ABI-L2-ALG-ACM_v01r00.zip</dd><dt><span>product_version :</span></dt><dd>v01r00</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>retrieval_local_zenith_angle_bounds</span></div><div class='xr-var-dims'>(number_of_LZA_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aec954b9-74db-48de-9423-3af4f5a8cd61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aec954b9-74db-48de-9423-3af4f5a8cd61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f89f9c6-e5d0-48d2-a160-4092199b384f' class='xr-var-data-in' type='checkbox'><label for='data-3f89f9c6-e5d0-48d2-a160-4092199b384f' title='Show/Hide data repr'><svg 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>local zenith angle degree range where good or degraded quality clear sky mask data is produced</dd></dl></div><div class='xr-var-data'><pre>array([ 0., 90.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quantitative_local_zenith_angle_bounds</span></div><div class='xr-var-dims'>(number_of_LZA_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa4dc755-e5dd-405f-8678-0d0aba4b284e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa4dc755-e5dd-405f-8678-0d0aba4b284e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46807d81-9529-41ff-92ae-c0e0fc0b3f2b' class='xr-var-data-in' type='checkbox'><label for='data-46807d81-9529-41ff-92ae-c0e0fc0b3f2b' title='Show/Hide data repr'><svg 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>local zenith angle degree range where good quality clear sky mask data is produced</dd></dl></div><div class='xr-var-data'><pre>array([ 0., 70.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>retrieval_solar_zenith_angle_bounds</span></div><div class='xr-var-dims'>(number_of_SZA_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e3222577-0228-4f96-9574-4ae5322ca371' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3222577-0228-4f96-9574-4ae5322ca371' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06bcd292-a8a8-4909-8de1-510de0d12e61' class='xr-var-data-in' type='checkbox'><label for='data-06bcd292-a8a8-4909-8de1-510de0d12e61' title='Show/Hide data repr'><svg 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>solar zenith angle degree range where good quality clear sky mask data is produced</dd></dl></div><div class='xr-var-data'><pre>array([  0., 180.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>twilight_solar_zenith_angle_bounds</span></div><div class='xr-var-dims'>(number_of_SZA_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-71bccb5a-d33f-4dd4-addb-e3c6a5a4c4ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71bccb5a-d33f-4dd4-addb-e3c6a5a4c4ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50a615bd-922f-40da-af73-d7059dfdd21f' class='xr-var-data-in' type='checkbox'><label for='data-50a615bd-922f-40da-af73-d7059dfdd21f' title='Show/Hide data repr'><svg 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>solar zenith angle degree range for the twilight region</dd></dl></div><div class='xr-var-data'><pre>array([87., 93.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_uncorrectable_GRB_errors</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-918d4a63-3197-49c1-b9f6-efa6eac96900' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-918d4a63-3197-49c1-b9f6-efa6eac96900' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d40c260-366c-4d7f-afaf-c2963a1a4ea5' class='xr-var-data-in' type='checkbox'><label for='data-1d40c260-366c-4d7f-afaf-c2963a1a4ea5' title='Show/Hide data repr'><svg 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>percent data lost due to uncorrectable GRB errors</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (uncorrectable GRB errors only)</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_uncorrectable_L0_errors</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7a9d3b39-b7d0-4159-9805-2413f26cea23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a9d3b39-b7d0-4159-9805-2413f26cea23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-296a8d18-ae5f-4a98-b3e6-3c761aa8ff24' class='xr-var-data-in' type='checkbox'><label for='data-296a8d18-ae5f-4a98-b3e6-3c761aa8ff24' title='Show/Hide data repr'><svg 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>percent data lost due to uncorrectable L0 errors</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (uncorrectable L0 errors only)</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filename</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U108</div><div class='xr-var-preview xr-preview'>&#x27;noaa-goes17/ABI-L2-ACMF/2021/20...</div><input id='attrs-7d1a0716-a867-45bf-ba93-482666b484fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d1a0716-a867-45bf-ba93-482666b484fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e29d0dfb-ae5d-43c0-a3ed-700920b8997c' class='xr-var-data-in' type='checkbox'><label for='data-e29d0dfb-ae5d-43c0-a3ed-700920b8997c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;noaa-goes17/ABI-L2-ACMF/2021/200/21/OR_ABI-L2-ACMF-M6_G17_s20212002100321_e20212002109388_c20212002110059.nc&#x27;,\n",
       "      dtype=&#x27;&lt;U108&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f32eaa78-24c7-4f4c-8931-601a6409d782' class='xr-section-summary-in' type='checkbox'  ><label for='section-f32eaa78-24c7-4f4c-8931-601a6409d782' class='xr-section-summary' >Attributes: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>naming_authority :</span></dt><dd>gov.nesdis.noaa</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v35, 20 July 2016)</dd><dt><span>institution :</span></dt><dd>DOC/NOAA/NESDIS &gt; U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Services</dd><dt><span>project :</span></dt><dd>GOES</dd><dt><span>production_site :</span></dt><dd>NSOF</dd><dt><span>production_environment :</span></dt><dd>OE</dd><dt><span>spatial_resolution :</span></dt><dd>2km at nadir</dd><dt><span>orbital_slot :</span></dt><dd>GOES-West</dd><dt><span>platform_ID :</span></dt><dd>G17</dd><dt><span>instrument_type :</span></dt><dd>GOES R Series Advanced Baseline Imager</dd><dt><span>scene_id :</span></dt><dd>Full Disk</dd><dt><span>instrument_ID :</span></dt><dd>FM2</dd><dt><span>iso_series_metadata_id :</span></dt><dd>b015d6f0-b002-11e1-afa6-0800200c9a66</dd><dt><span>title :</span></dt><dd>ABI L2 Clear Sky Mask</dd><dt><span>summary :</span></dt><dd>The Clear Sky Mask product consists of a binary cloud mask identifying pixels as &#x27;clear or probably clear&#x27; or &#x27;cloudy or probably cloudy&#x27;. The binary cloud mask is generated through a series of cloud detection threshold tests that key on the spatial, spectral, and temporal characteristics associated with the cloud and clear-sky states. Product data is generated both day and night.</dd><dt><span>keywords :</span></dt><dd>ATMOSPHERE &gt; CLOUDS &gt; CLOUD AMOUNT/FREQUENCY</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Earth Science Keywords, Version 7.0.0.0.0</dd><dt><span>license :</span></dt><dd>Unclassified data.  Access is restricted to approved users only.</dd><dt><span>processing_level :</span></dt><dd>National Aeronautics and Space Administration (NASA) L2</dd><dt><span>cdm_data_type :</span></dt><dd>Image</dd><dt><span>timeline_id :</span></dt><dd>ABI Mode 6</dd><dt><span>production_data_source :</span></dt><dd>Realtime</dd><dt><span>id :</span></dt><dd>acaac04f-ab8f-4c4a-82c8-5129bac469d3</dd><dt><span>path :</span></dt><dd>[&#x27;noaa-goes17/ABI-L2-ACMF/2021/200/21/OR_ABI-L2-ACMF-M6_G17_s20212002100321_e20212002109388_c20212002110059.nc&#x27;]</dd></dl></div></li></ul></div></div>"
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       "    ...                                                          ...\n",
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       "    x_image_bounds                                              (number_of_image_bounds) float32 ...\n",
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      " 👮🏻‍♂️ File already exists. Do not overwrite: /p/cwfs/blaylock/data/noaa-goes17/ABI-L2-CMIPF/2021/200/21/OR_ABI-L2-CMIPF-M6C13_G17_s20212002140319_e20212002149396_c20212002149468.nc\n",
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       "                                                file        product_mode  \\\n",
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       "  --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.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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                                                     (y: 5424,\n",
       "                                                                 x: 5424,\n",
       "                                                                 number_of_time_bounds: 2,\n",
       "                                                                 number_of_image_bounds: 2,\n",
       "                                                                 RTM_BT_comparison_bands: 2,\n",
       "                                                                 number_of_LZA_bounds: 2,\n",
       "                                                                 number_of_SZA_bounds: 2)\n",
       "Coordinates: (12/15)\n",
       "    t                                                           datetime64[ns] ...\n",
       "  * y                                                           (y) float32 0...\n",
       "  * x                                                           (x) float32 -...\n",
       "    y_image                                                     float32 0.0\n",
       "    x_image                                                     float32 0.0\n",
       "    retrieval_local_zenith_angle                                float32 90.0\n",
       "    ...                                                          ...\n",
       "    RTM_BT_comparison_wavelengths                               (RTM_BT_comparison_bands) float32 ...\n",
       "    RTM_BT_comparison_band_ids                                  (RTM_BT_comparison_bands) int8 ...\n",
       "    dataset_name                                                &lt;U72 &#x27;OR_ABI-...\n",
       "    date_created                                                &lt;U22 &#x27;2021-07...\n",
       "    time_coverage_start                                         &lt;U22 &#x27;2021-07...\n",
       "    time_coverage_end                                           &lt;U22 &#x27;2021-07...\n",
       "Dimensions without coordinates: number_of_time_bounds, number_of_image_bounds,\n",
       "                                RTM_BT_comparison_bands, number_of_LZA_bounds,\n",
       "                                number_of_SZA_bounds\n",
       "Data variables: (12/38)\n",
       "    BCM                                                         (y, x) float32 ...\n",
       "    DQF                                                         (y, x) float32 ...\n",
       "    time_bounds                                                 (number_of_time_bounds) datetime64[ns] ...\n",
       "    goes_imager_projection                                      int32 -214748...\n",
       "    y_image_bounds                                              (number_of_image_bounds) float32 ...\n",
       "    x_image_bounds                                              (number_of_image_bounds) float32 ...\n",
       "    ...                                                          ...\n",
       "    quantitative_local_zenith_angle_bounds                      (number_of_LZA_bounds) float32 ...\n",
       "    retrieval_solar_zenith_angle_bounds                         (number_of_SZA_bounds) float32 ...\n",
       "    twilight_solar_zenith_angle_bounds                          (number_of_SZA_bounds) float32 ...\n",
       "    percent_uncorrectable_GRB_errors                            float64 0.0\n",
       "    percent_uncorrectable_L0_errors                             float64 0.0\n",
       "    filename                                                    &lt;U108 &#x27;noaa-g...\n",
       "Attributes: (12/26)\n",
       "    naming_authority:          gov.nesdis.noaa\n",
       "    Conventions:               CF-1.7\n",
       "    Metadata_Conventions:      Unidata Dataset Discovery v1.0\n",
       "    standard_name_vocabulary:  CF Standard Name Table (v35, 20 July 2016)\n",
       "    institution:               DOC/NOAA/NESDIS &gt; U.S. Department of Commerce,...\n",
       "    project:                   GOES\n",
       "    ...                        ...\n",
       "    processing_level:          National Aeronautics and Space Administration ...\n",
       "    cdm_data_type:             Image\n",
       "    timeline_id:               ABI Mode 6\n",
       "    production_data_source:    Realtime\n",
       "    id:                        acaac04f-ab8f-4c4a-82c8-5129bac469d3\n",
       "    path:                      [&#x27;noaa-goes17/ABI-L2-ACMF/2021/200/21/OR_ABI-L...</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-b7dedaa4-d125-4411-8da6-2117f4329724' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b7dedaa4-d125-4411-8da6-2117f4329724' 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'>y</span>: 5424</li><li><span class='xr-has-index'>x</span>: 5424</li><li><span>number_of_time_bounds</span>: 2</li><li><span>number_of_image_bounds</span>: 2</li><li><span>RTM_BT_comparison_bands</span>: 2</li><li><span>number_of_LZA_bounds</span>: 2</li><li><span>number_of_SZA_bounds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-70267872-ffbb-4be7-b286-d9373bb2119a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-70267872-ffbb-4be7-b286-d9373bb2119a' class='xr-section-summary' >Coordinates: <span>(15)</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>t</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-360b4a65-bd2d-422b-8d7b-ada283eb4e04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-360b4a65-bd2d-422b-8d7b-ada283eb4e04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adce861e-8927-4268-a218-e6ee8ab850a4' class='xr-var-data-in' type='checkbox'><label for='data-adce861e-8927-4268-a218-e6ee8ab850a4' title='Show/Hide data repr'><svg 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>J2000 epoch mid-point between the start and end image scan in seconds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-07-19T21:05:05.492656000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1518 0.1518 ... -0.1518 -0.1518</div><input id='attrs-8429ea92-b76e-4607-a63c-350525fcdf15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8429ea92-b76e-4607-a63c-350525fcdf15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9cf6017-ec64-45d8-a5f6-c5b6cbcc95ef' class='xr-var-data-in' type='checkbox'><label for='data-c9cf6017-ec64-45d8-a5f6-c5b6cbcc95ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>GOES fixed grid projection y-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.151844,  0.151788,  0.151732, ..., -0.151732, -0.151788, -0.151844],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.1518 -0.1518 ... 0.1518 0.1518</div><input id='attrs-55cb81e4-c6ac-43f4-8128-e36cd26e09d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55cb81e4-c6ac-43f4-8128-e36cd26e09d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41ee11ae-da76-4258-9c4b-a67fbd9e39af' class='xr-var-data-in' type='checkbox'><label for='data-41ee11ae-da76-4258-9c4b-a67fbd9e39af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>GOES fixed grid projection x-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-0.151844, -0.151788, -0.151732, ...,  0.151732,  0.151788,  0.151844],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_image</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-54a33a1c-31fd-4304-86fe-99c9ba508290' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54a33a1c-31fd-4304-86fe-99c9ba508290' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcce20ec-eb46-497a-a0e3-16cb491ecd4c' class='xr-var-data-in' type='checkbox'><label for='data-bcce20ec-eb46-497a-a0e3-16cb491ecd4c' title='Show/Hide data repr'><svg 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>GOES-R fixed grid projection y-coordinate center of image</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(0., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_image</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8b74a892-d996-4776-94db-5c5fc4a5561d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b74a892-d996-4776-94db-5c5fc4a5561d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a606ac4-c1e6-47a5-a90f-9414d7b5a305' class='xr-var-data-in' type='checkbox'><label for='data-9a606ac4-c1e6-47a5-a90f-9414d7b5a305' title='Show/Hide data repr'><svg 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>GOES-R fixed grid projection x-coordinate center of image</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(0., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>retrieval_local_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f861fd6a-c61f-4a20-a1af-800489ce128d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f861fd6a-c61f-4a20-a1af-800489ce128d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f658ef08-9fc7-44a6-8f00-9420c0089f22' class='xr-var-data-in' type='checkbox'><label for='data-f658ef08-9fc7-44a6-8f00-9420c0089f22' title='Show/Hide data repr'><svg 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>threshold angle between the line of sight to the satellite and the local zenith at the observation target for good or degraded quality clear sky mask data production</dd><dt><span>standard_name :</span></dt><dd>platform_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>retrieval_local_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>array(90., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quantitative_local_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-be0e6697-d5e0-4cc3-8a54-652d7d116986' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be0e6697-d5e0-4cc3-8a54-652d7d116986' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbf490e2-93e4-4df6-bd83-27e8928e9356' class='xr-var-data-in' type='checkbox'><label for='data-fbf490e2-93e4-4df6-bd83-27e8928e9356' title='Show/Hide data repr'><svg 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>threshold angle between the line of sight to the satellite and the local zenith at the observation target for good quality clear sky mask data production</dd><dt><span>standard_name :</span></dt><dd>platform_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>quantitative_local_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>array(70., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>retrieval_solar_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bc322844-eda7-431e-9b73-da8722879499' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc322844-eda7-431e-9b73-da8722879499' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b204ee0-e50d-440f-8cf3-b4a285602fae' class='xr-var-data-in' type='checkbox'><label for='data-4b204ee0-e50d-440f-8cf3-b4a285602fae' title='Show/Hide data repr'><svg 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>threshold angle between the line of sight to the sun and the local zenith at the observation target for good quality clear sky mask data production</dd><dt><span>standard_name :</span></dt><dd>solar_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>retrieval_solar_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>array(180., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>twilight_solar_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-729ebf2d-ef2f-4fad-bdef-1aecfa9a2d9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-729ebf2d-ef2f-4fad-bdef-1aecfa9a2d9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21b0d5f3-bf76-40f0-b981-2e362c5c667d' class='xr-var-data-in' type='checkbox'><label for='data-21b0d5f3-bf76-40f0-b981-2e362c5c667d' title='Show/Hide data repr'><svg 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>midpoint of the twilight region for the angle between the line of sight to the sun and the local zenith at the observation target</dd><dt><span>standard_name :</span></dt><dd>solar_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>twilight_solar_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>array(90., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RTM_BT_comparison_wavelengths</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c65cd81f-be60-4858-91b4-06eda215552c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c65cd81f-be60-4858-91b4-06eda215552c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0f2cf23-19a6-4a35-b4ab-e3c5ac07d404' class='xr-var-data-in' type='checkbox'><label for='data-f0f2cf23-19a6-4a35-b4ab-e3c5ac07d404' title='Show/Hide data repr'><svg 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>ABI center wavelengths associated with radiative transfer model&#x27;s brightness temperature comparison outputs</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>array([11.19, 12.27], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RTM_BT_comparison_band_ids</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f6d91aab-4f8f-4e3e-a3de-43728ed6ec13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6d91aab-4f8f-4e3e-a3de-43728ed6ec13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45f4916c-4c6a-4567-8d40-28ff71546410' class='xr-var-data-in' type='checkbox'><label for='data-45f4916c-4c6a-4567-8d40-28ff71546410' title='Show/Hide data repr'><svg 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>ABI band identifiers associated with radiative transfer model&#x27;s brightness temperature comparison outputs</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([14, 15], dtype=int8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dataset_name</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U72</div><div class='xr-var-preview xr-preview'>&#x27;OR_ABI-L2-ACMF-M6_G17_s20212002...</div><input id='attrs-4e9800ae-e357-42ec-b3b2-6cf8aa0364c8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4e9800ae-e357-42ec-b3b2-6cf8aa0364c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ec46fd0-b1f7-4cca-a188-18c19e611bdc' class='xr-var-data-in' type='checkbox'><label for='data-8ec46fd0-b1f7-4cca-a188-18c19e611bdc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;OR_ABI-L2-ACMF-M6_G17_s20212002100321_e20212002109388_c20212002110059.nc&#x27;,\n",
       "      dtype=&#x27;&lt;U72&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>date_created</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U22</div><div class='xr-var-preview xr-preview'>&#x27;2021-07-19T21:10:05.9Z&#x27;</div><input id='attrs-811c854b-0a1d-46fb-8554-f38013e74041' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-811c854b-0a1d-46fb-8554-f38013e74041' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e529f136-28dc-43f0-b0cd-de5fde2efa74' class='xr-var-data-in' type='checkbox'><label for='data-e529f136-28dc-43f0-b0cd-de5fde2efa74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-07-19T21:10:05.9Z&#x27;, dtype=&#x27;&lt;U22&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_coverage_start</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U22</div><div class='xr-var-preview xr-preview'>&#x27;2021-07-19T21:00:32.1Z&#x27;</div><input id='attrs-b30ec448-c3f4-4f94-9b26-aba06ca5d56d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b30ec448-c3f4-4f94-9b26-aba06ca5d56d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e735968-a906-47a2-8029-b7fd3621ec2d' class='xr-var-data-in' type='checkbox'><label for='data-1e735968-a906-47a2-8029-b7fd3621ec2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-07-19T21:00:32.1Z&#x27;, dtype=&#x27;&lt;U22&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_coverage_end</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U22</div><div class='xr-var-preview xr-preview'>&#x27;2021-07-19T21:09:38.8Z&#x27;</div><input id='attrs-86b0c0cd-7fd3-4072-8412-7c911d7ec615' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-86b0c0cd-7fd3-4072-8412-7c911d7ec615' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b35aa33b-cb02-4719-9254-2dee45ee927c' class='xr-var-data-in' type='checkbox'><label for='data-b35aa33b-cb02-4719-9254-2dee45ee927c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-07-19T21:09:38.8Z&#x27;, dtype=&#x27;&lt;U22&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-83bdd0d2-2a39-416f-beda-92667ef2e390' class='xr-section-summary-in' type='checkbox'  ><label for='section-83bdd0d2-2a39-416f-beda-92667ef2e390' class='xr-section-summary' >Data variables: <span>(38)</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>BCM</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2c40bf3-bc10-4e7b-a352-bee5b02a1491' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2c40bf3-bc10-4e7b-a352-bee5b02a1491' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa86756e-de95-4a05-b5b1-041f3d3970e2' class='xr-var-data-in' type='checkbox'><label for='data-fa86756e-de95-4a05-b5b1-041f3d3970e2' title='Show/Hide data repr'><svg 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>ABI L2+ Clear Sky Mask</dd><dt><span>standard_name :</span></dt><dd>cloud_binary_mask</dd><dt><span>valid_range :</span></dt><dd>[0 1]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>retrieval_local_zenith_angle: point (good or degraded quality pixel produced) quantitative_local_zenith_angle: point (good quality pixel produced) retrieval_solar_zenith_angle: point (good quality pixel produced) t: point area: point</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>clear_or_probably_clear cloudy_or_probably_cloudy</dd><dt><span>ancillary_variables :</span></dt><dd>DQF</dd><dt><span>clear_pixel_definition :</span></dt><dd>no cloud detected and failed a test for high values of spatial heterogeneity</dd><dt><span>probably_clear_pixel_definition :</span></dt><dd>no cloud detected but passed a test for high values of spatial heterogeneity and one or more neighboring pixels identified as cloudy. pixel is possibly cloud-contaminated</dd><dt><span>probably_cloudy_pixel_definition :</span></dt><dd>cloud detected but likely contains a cloud edge, since one or more neighboring pixels are clear. pixel is probably cloud-contaminated</dd><dt><span>cloudy_pixel_definition :</span></dt><dd>cloud detected and failed a test for cloud edges</dd></dl></div><div class='xr-var-data'><pre>[29419776 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20fc7c27-43e9-4d93-b7eb-325c950369df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20fc7c27-43e9-4d93-b7eb-325c950369df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-516d38a2-8852-4175-812d-c59f5d0ed561' class='xr-var-data-in' type='checkbox'><label for='data-516d38a2-8852-4175-812d-c59f5d0ed561' title='Show/Hide data repr'><svg 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>ABI L2+ Clear Sky Mask data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 6]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>retrieval_local_zenith_angle: point quantitative_local_zenith_angle: point retrieval_solar_zenith_angle: point t: point area: point</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4 5 6]</dd><dt><span>flag_meanings :</span></dt><dd>good_quality_qf invalid_due_to_not_geolocated_or_algorithm_non_execution_qf degraded_due_to_LZA_threshold_exceeded_qf invalid_due_to_bad_or_missing_input_band_14_brightness_temperature_qf degraded_due_to_bad_input_band_7_pixel_qf degraded_due_to_failed_band_2_tests_qf degraded_due_to_other_bad_bands_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>7</dd><dt><span>percent_good_quality_qf :</span></dt><dd>0.8816351</dd><dt><span>percent_invalid_due_to_not_geolocated_or_algorithm_non_execution_qf :</span></dt><dd>0.1284324</dd><dt><span>percent_degraded_due_to_LZA_threshold_exceeded_qf :</span></dt><dd>0.0891377</dd><dt><span>percent_invalid_due_to_bad_or_missing_input_band_14_brightness_temperature_qf :</span></dt><dd>0.0292272</dd><dt><span>percent_degraded_due_to_bad_input_band_7_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_degraded_due_to_failed_band_2_tests_qf :</span></dt><dd>0.0</dd><dt><span>percent_degraded_due_to_other_bad_bands_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[29419776 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bounds</span></div><div class='xr-var-dims'>(number_of_time_bounds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4d7167e-2159-417c-8817-43ba62ff18d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4d7167e-2159-417c-8817-43ba62ff18d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ee0474b-f54c-4551-90d4-6c23de18ae9d' class='xr-var-data-in' type='checkbox'><label for='data-2ee0474b-f54c-4551-90d4-6c23de18ae9d' title='Show/Hide data repr'><svg 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>Scan start and end times in seconds since epoch (2000-01-01 12:00:00)</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-07-19T21:00:32.155169920&#x27;, &#x27;2021-07-19T21:09:38.830142080&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>goes_imager_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-933d4d51-4cac-4cd5-9b4e-c376be5eaf17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-933d4d51-4cac-4cd5-9b4e-c376be5eaf17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d12d9da4-f004-42c1-a9fe-7bc62ca6dd3f' class='xr-var-data-in' type='checkbox'><label for='data-d12d9da4-f004-42c1-a9fe-7bc62ca6dd3f' title='Show/Hide data repr'><svg 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>GOES-R ABI fixed grid projection</dd><dt><span>grid_mapping_name :</span></dt><dd>geostationary</dd><dt><span>perspective_point_height :</span></dt><dd>35786023.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.31414</dd><dt><span>inverse_flattening :</span></dt><dd>298.2572221</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>-137.0</dd><dt><span>sweep_angle_axis :</span></dt><dd>x</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_image_bounds</span></div><div class='xr-var-dims'>(number_of_image_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-71801c6c-81e9-4dde-a25f-ddd9ffc78b78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71801c6c-81e9-4dde-a25f-ddd9ffc78b78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2ebbfc2-099d-4301-8f8b-1405109d0c26' class='xr-var-data-in' type='checkbox'><label for='data-b2ebbfc2-099d-4301-8f8b-1405109d0c26' title='Show/Hide data repr'><svg 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>GOES-R fixed grid projection y-coordinate north/south extent of image</dd><dt><span>units :</span></dt><dd>rad</dd></dl></div><div class='xr-var-data'><pre>array([ 0.151872, -0.151872], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_image_bounds</span></div><div class='xr-var-dims'>(number_of_image_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-08eb370f-164a-44f2-b14f-ed55ecd4268c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08eb370f-164a-44f2-b14f-ed55ecd4268c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c035d830-3f5c-47ed-afb9-3e214852bd53' class='xr-var-data-in' type='checkbox'><label for='data-c035d830-3f5c-47ed-afb9-3e214852bd53' title='Show/Hide data repr'><svg 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>GOES-R fixed grid projection x-coordinate west/east extent of image</dd><dt><span>units :</span></dt><dd>rad</dd></dl></div><div class='xr-var-data'><pre>array([-0.151872,  0.151872], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nominal_satellite_subpoint_lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d37ed2b-ad13-4dfe-a920-780005f0f4d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d37ed2b-ad13-4dfe-a920-780005f0f4d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4a8fbfc-668f-446a-b93a-a4f5d23aaf09' class='xr-var-data-in' type='checkbox'><label for='data-f4a8fbfc-668f-446a-b93a-a4f5d23aaf09' title='Show/Hide data repr'><svg 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>nominal satellite subpoint latitude (platform latitude)</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nominal_satellite_subpoint_lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f7295aa4-4a42-4927-a965-a3b57cbb4dc4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7295aa4-4a42-4927-a965-a3b57cbb4dc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58133af7-ba1b-4554-b856-cf16d998bba2' class='xr-var-data-in' type='checkbox'><label for='data-58133af7-ba1b-4554-b856-cf16d998bba2' title='Show/Hide data repr'><svg 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>nominal satellite subpoint longitude (platform longitude)</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array(-137.199997)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nominal_satellite_height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ac24176c-08ea-4c99-bf60-8c816e0fada2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac24176c-08ea-4c99-bf60-8c816e0fada2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d75dcfe7-c1b5-4b2e-9d4d-ee2b0d3f091f' class='xr-var-data-in' type='checkbox'><label for='data-d75dcfe7-c1b5-4b2e-9d4d-ee2b0d3f091f' title='Show/Hide data repr'><svg 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>nominal satellite height above GRS 80 ellipsoid (platform altitude)</dd><dt><span>standard_name :</span></dt><dd>height_above_reference_ellipsoid</dd><dt><span>units :</span></dt><dd>km</dd></dl></div><div class='xr-var-data'><pre>array(35786.023438)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geospatial_lat_lon_extent</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3692c521-0cc2-45e1-bd41-17558e956e80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3692c521-0cc2-45e1-bd41-17558e956e80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c40e0857-806e-4400-a35e-0f37ec609d90' class='xr-var-data-in' type='checkbox'><label for='data-c40e0857-806e-4400-a35e-0f37ec609d90' title='Show/Hide data repr'><svg 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>geospatial latitude and longitude references</dd><dt><span>geospatial_westbound_longitude :</span></dt><dd>141.7005</dd><dt><span>geospatial_northbound_latitude :</span></dt><dd>81.3282</dd><dt><span>geospatial_eastbound_longitude :</span></dt><dd>-55.7005</dd><dt><span>geospatial_southbound_latitude :</span></dt><dd>-81.3282</dd><dt><span>geospatial_lat_center :</span></dt><dd>0.0</dd><dt><span>geospatial_lon_center :</span></dt><dd>-137.0</dd><dt><span>geospatial_lat_nadir :</span></dt><dd>0.0</dd><dt><span>geospatial_lon_nadir :</span></dt><dd>-137.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array(9.96921e+36, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_number_of_cloud_mask_points</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8f15876a-37a2-425e-a90a-6e23a5f587bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f15876a-37a2-425e-a90a-6e23a5f587bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e840b887-2ba9-493b-b705-5fbdc869766b' class='xr-var-data-in' type='checkbox'><label for='data-e840b887-2ba9-493b-b705-5fbdc869766b' title='Show/Hide data repr'><svg 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>total number of clear sky mask pixels</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(20318490.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_clear_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4e4b9fe-f14a-4661-87ef-3ccad14469e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4e4b9fe-f14a-4661-87ef-3ccad14469e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66bc38eb-81cf-45ed-878c-0028ef2d3006' class='xr-var-data-in' type='checkbox'><label for='data-66bc38eb-81cf-45ed-878c-0028ef2d3006' title='Show/Hide data repr'><svg 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>number of clear pixels that do not exceed local zenith angle threshold</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array(4379912.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_probably_clear_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4559e123-53ac-4516-8635-360cb7b6fc9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4559e123-53ac-4516-8635-360cb7b6fc9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc2293ee-0a16-44ae-b2d1-ddce248c404b' class='xr-var-data-in' type='checkbox'><label for='data-cc2293ee-0a16-44ae-b2d1-ddce248c404b' title='Show/Hide data repr'><svg 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>number of probably clear pixels (surrounding NxN pixels centered on pixel have high degree of spatial heterogeneity, and one or more adjacent pixels are identified as cloudy) that do not exceed local zenith angle threshold</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array(1944356.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_probably_cloudy_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-929dfcad-0c07-45e2-9deb-5c70ef1ccdd8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-929dfcad-0c07-45e2-9deb-5c70ef1ccdd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2b4379a-f5cc-43fd-8b3d-5333c96c6ed6' class='xr-var-data-in' type='checkbox'><label for='data-e2b4379a-f5cc-43fd-8b3d-5333c96c6ed6' title='Show/Hide data repr'><svg 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>number of probably cloudy pixels (cloud detected in pixel, likely contains a cloud edge, and one or more adjacent pixels are clear) that do not exceed local zenith angle threshold</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where cloud</dd></dl></div><div class='xr-var-data'><pre>array(2005823.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_cloudy_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-46abacb0-9cdc-4e60-99a1-17eb8460622f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46abacb0-9cdc-4e60-99a1-17eb8460622f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73056d85-8f04-4a7f-8002-8cf2a7b82cb1' class='xr-var-data-in' type='checkbox'><label for='data-73056d85-8f04-4a7f-8002-8cf2a7b82cb1' title='Show/Hide data repr'><svg 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>number of cloudy pixels that do not exceed local zenith angle threshold</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where cloud</dd></dl></div><div class='xr-var-data'><pre>array(11988399.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_clear_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-03bb3e31-a468-4f2d-b607-f940b34be992' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03bb3e31-a468-4f2d-b607-f940b34be992' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2563d0e2-2a0e-453c-a561-46842eedfdff' class='xr-var-data-in' type='checkbox'><label for='data-2563d0e2-2a0e-453c-a561-46842eedfdff' title='Show/Hide data repr'><svg 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>percent of clear pixels that do not exceed local zenith angle threshold</dd><dt><span>standard_name :</span></dt><dd>clear_sky_area_fraction</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array(0.190048)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_probably_clear_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-627aabbc-dc82-4683-b536-b4f34dcd8de4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-627aabbc-dc82-4683-b536-b4f34dcd8de4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dac5e18f-3784-4d2a-b4ed-ea380ddffe59' class='xr-var-data-in' type='checkbox'><label for='data-dac5e18f-3784-4d2a-b4ed-ea380ddffe59' title='Show/Hide data repr'><svg 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>percent of probably clear pixels (surrounding NxN pixels centered on pixel have high degree of spatial heterogeneity, and one or more adjacent pixels are identified as cloudy) that do not exceed local zenith angle threshold</dd><dt><span>standard_name :</span></dt><dd>clear_sky_area_fraction</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array(0.084367)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_probably_cloudy_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-468ec343-5b71-4d14-91f7-f0ddf2276642' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-468ec343-5b71-4d14-91f7-f0ddf2276642' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42a793b0-f63b-49e1-975b-348f60780152' class='xr-var-data-in' type='checkbox'><label for='data-42a793b0-f63b-49e1-975b-348f60780152' title='Show/Hide data repr'><svg 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>percent of probably cloudy pixels (cloud detected in pixel, likely contains a cloud edge, and one or more adjacent pixels are clear) that do not exceed local zenith angle threshold</dd><dt><span>standard_name :</span></dt><dd>cloud_area_fraction</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle : sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where cloud</dd></dl></div><div class='xr-var-data'><pre>array(0.087034)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_cloudy_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a66ca1a5-76cf-42ed-98c8-0b5c486fe6f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a66ca1a5-76cf-42ed-98c8-0b5c486fe6f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24256bc5-ec47-4c13-bc48-7320078b7272' class='xr-var-data-in' type='checkbox'><label for='data-24256bc5-ec47-4c13-bc48-7320078b7272' title='Show/Hide data repr'><svg 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>percent of cloudy pixels that do not exceed local zenith angle threshold</dd><dt><span>standard_name :</span></dt><dd>cloud_area_fraction</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where cloud</dd></dl></div><div class='xr-var-data'><pre>array(0.520186)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_terminator_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8335750a-21fb-4aab-89eb-752ea644b84d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8335750a-21fb-4aab-89eb-752ea644b84d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c67d257e-9d41-4036-af67-1fe0485232e4' class='xr-var-data-in' type='checkbox'><label for='data-c67d257e-9d41-4036-af67-1fe0485232e4' title='Show/Hide data repr'><svg 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>percent of pixels that are associated with the twilight solar zenith angle range</dd><dt><span>standard_name :</span></dt><dd>area_fraction_of_twilight_defined_by_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>retrieval_local_zenith_angle: sum twilight_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: geolocated/not missing pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(0.01206)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_obs_modeled_diff_RTM_BT_comparison_bands_all_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a266d10-3f1b-4baa-87c9-a7e8d64312f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a266d10-3f1b-4baa-87c9-a7e8d64312f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ec1601b-8198-4cd9-ac0a-93c5d5119086' class='xr-var-data-in' type='checkbox'><label for='data-8ec1601b-8198-4cd9-ac0a-93c5d5119086' title='Show/Hide data repr'><svg 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>minimum difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: minimum (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([-103.08444 ,  -94.827835], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_obs_modeled_diff_RTM_BT_comparison_bands_all_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-46781867-e3de-4ff1-93fc-529f0448d6c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46781867-e3de-4ff1-93fc-529f0448d6c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1a345c9-b6bb-47ff-a285-5d703a7ca7a1' class='xr-var-data-in' type='checkbox'><label for='data-b1a345c9-b6bb-47ff-a285-5d703a7ca7a1' title='Show/Hide data repr'><svg 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>maximum difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: maximum (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([26.620728, 22.426666], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_obs_modeled_diff_RTM_BT_comparison_bands_all_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-494e1b69-d460-4976-a3b3-c56421379d9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-494e1b69-d460-4976-a3b3-c56421379d9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7200fddd-2273-43d6-acce-ba0d4b96726b' class='xr-var-data-in' type='checkbox'><label for='data-7200fddd-2273-43d6-acce-ba0d4b96726b' title='Show/Hide data repr'><svg 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>mean difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: mean (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([-11.042196, -10.077215], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_obs_modeled_diff_RTM_BT_comparison_bands_all_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-80a93015-a763-4ad6-bfb9-ed3cb790f0fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80a93015-a763-4ad6-bfb9-ed3cb790f0fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-565fe917-b4f2-4447-bda8-5631851f47b1' class='xr-var-data-in' type='checkbox'><label for='data-565fe917-b4f2-4447-bda8-5631851f47b1' title='Show/Hide data repr'><svg 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>standard deviation of the difference of the observed and modeled brightness temperature values (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: standard_deviation (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([17.06145 , 16.432896], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_obs_modeled_diff_RTM_BT_comparison_bands_clear_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6304dfcd-d8ca-4236-a20d-941a6625f114' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6304dfcd-d8ca-4236-a20d-941a6625f114' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50e190aa-fa3b-4d73-ba76-b0dfb83e80eb' class='xr-var-data-in' type='checkbox'><label for='data-50e190aa-fa3b-4d73-ba76-b0dfb83e80eb' title='Show/Hide data repr'><svg 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>minimum difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths for the clear sky portion of image</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: minimum (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array([-21.617157, -17.318726], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_obs_modeled_diff_RTM_BT_comparison_bands_clear_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f423c0df-ee45-41a0-bc4d-5a09c056b120' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f423c0df-ee45-41a0-bc4d-5a09c056b120' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a68a1ad-8f2d-4930-9040-0f35ac724c19' class='xr-var-data-in' type='checkbox'><label for='data-3a68a1ad-8f2d-4930-9040-0f35ac724c19' title='Show/Hide data repr'><svg 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>maximum difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths for the clear sky portion of image</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: maximum (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array([26.620728, 22.426666], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_obs_modeled_diff_RTM_BT_comparison_bands_clear_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-237f5df9-1540-40ac-bc8f-e6367da0dedb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-237f5df9-1540-40ac-bc8f-e6367da0dedb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ddf751b-a87b-4456-b6c7-3c63cc9f5032' class='xr-var-data-in' type='checkbox'><label for='data-8ddf751b-a87b-4456-b6c7-3c63cc9f5032' title='Show/Hide data repr'><svg 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>mean difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths for the clear sky portion of image</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: mean (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array([0.082135, 0.351777], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_obs_modeled_diff_RTM_BT_comparison_bands_clear_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-01cbfc3f-e74a-4a37-9c3e-653a119739b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01cbfc3f-e74a-4a37-9c3e-653a119739b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-146dd22b-bfd4-4e7c-829c-88961f13a5b6' class='xr-var-data-in' type='checkbox'><label for='data-146dd22b-bfd4-4e7c-829c-88961f13a5b6' title='Show/Hide data repr'><svg 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>standard deviation of the differences of the observed and modeled brightness temperature values (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths for the clear sky portion of image</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: standard_deviation (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array([1.185039, 1.092585], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>algorithm_dynamic_input_data_container</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bec6ae2b-704f-43ff-9efc-bea414818e49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bec6ae2b-704f-43ff-9efc-bea414818e49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72b6c6cc-45cc-4428-9762-5a5d6b73a0c1' class='xr-var-data-in' type='checkbox'><label for='data-72b6c6cc-45cc-4428-9762-5a5d6b73a0c1' title='Show/Hide data repr'><svg 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>container for filenames of dynamic algorithm input data</dd><dt><span>input_ABI_L2_auxiliary_solar_zenith_angle_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_auxiliary_scattering_angle_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_auxiliary_sunglint_angle_data :</span></dt><dd>null</dd><dt><span>input_ABI_L1b_radiance_band_7_2km_data :</span></dt><dd>OR_ABI-L1b-RADF-M6C07_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_14_2km_data :</span></dt><dd>OR_ABI-L1b-RADF-M6C14_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_9_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C09_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_10_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C10_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_11_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C11_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_14_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C14_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_15_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C15_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_16_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C16_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_intermediate_product_reflectance_band_2_2km_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_reflectance_band_4_2km_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_reflectance_band_5_2km_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_4_level_cloud_mask_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_radiance_band_7_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_radiance_band_14_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_cloudy_sky_radiance_band_14_profile_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_transmittance_band_7_profile_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_brightness_temperature_band_14_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_brightness_temperature_band_15_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_global_snow_mask_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_snow_mask_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_surface_temperature_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_total_precipitable_water_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_total_column_ozone_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_surface_level_index_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_tropopause_level_index_data :</span></dt><dd>null</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>processing_parm_version_container</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dc723018-b5ae-4532-84a7-a8c6cb3dbdbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc723018-b5ae-4532-84a7-a8c6cb3dbdbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a28c511c-2db4-415a-bcf6-f46034696f14' class='xr-var-data-in' type='checkbox'><label for='data-a28c511c-2db4-415a-bcf6-f46034696f14' title='Show/Hide data repr'><svg 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>container for processing parameter filenames</dd><dt><span>L2_processing_parm_version :</span></dt><dd>OR-PARM-ACM_v01r00.zip, OR-PARM-SEMISTATIC_v01r00.zip, OR-PARM-ANCILLARY_v01r00.zip, OR-PARM-AUXILIARY_v01r00.zip, OR-PARM-TARP_v01r00.zip</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>algorithm_product_version_container</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c42bb853-a1be-4604-89a9-c83f86dfa831' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c42bb853-a1be-4604-89a9-c83f86dfa831' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e86dd23c-38e7-4697-ac97-ee608b496002' class='xr-var-data-in' type='checkbox'><label for='data-e86dd23c-38e7-4697-ac97-ee608b496002' title='Show/Hide data repr'><svg 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>container for algorithm package filename and product version</dd><dt><span>algorithm_version :</span></dt><dd>OR_ABI-L2-ALG-ACM_v01r00.zip</dd><dt><span>product_version :</span></dt><dd>v01r00</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>retrieval_local_zenith_angle_bounds</span></div><div class='xr-var-dims'>(number_of_LZA_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3e82fccb-6dc6-4430-b820-cb18130e76ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e82fccb-6dc6-4430-b820-cb18130e76ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-265aef3f-b930-4914-86a1-76a40dd91749' class='xr-var-data-in' type='checkbox'><label for='data-265aef3f-b930-4914-86a1-76a40dd91749' title='Show/Hide data repr'><svg 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>local zenith angle degree range where good or degraded quality clear sky mask data is produced</dd></dl></div><div class='xr-var-data'><pre>array([ 0., 90.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quantitative_local_zenith_angle_bounds</span></div><div class='xr-var-dims'>(number_of_LZA_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-840a27be-a036-433f-abab-24dd93a6f1a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-840a27be-a036-433f-abab-24dd93a6f1a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9b5b9bb-429d-4195-956f-b5083def91f6' class='xr-var-data-in' type='checkbox'><label for='data-e9b5b9bb-429d-4195-956f-b5083def91f6' title='Show/Hide data repr'><svg 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>local zenith angle degree range where good quality clear sky mask data is produced</dd></dl></div><div class='xr-var-data'><pre>array([ 0., 70.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>retrieval_solar_zenith_angle_bounds</span></div><div class='xr-var-dims'>(number_of_SZA_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3575ce85-f795-4eab-80cd-95f706efb53a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3575ce85-f795-4eab-80cd-95f706efb53a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-417480ff-2a5a-4e84-ae11-530838432430' class='xr-var-data-in' type='checkbox'><label for='data-417480ff-2a5a-4e84-ae11-530838432430' title='Show/Hide data repr'><svg 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>solar zenith angle degree range where good quality clear sky mask data is produced</dd></dl></div><div class='xr-var-data'><pre>array([  0., 180.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>twilight_solar_zenith_angle_bounds</span></div><div class='xr-var-dims'>(number_of_SZA_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c9182ce1-35b9-46f8-a11c-0d4db0a28b7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9182ce1-35b9-46f8-a11c-0d4db0a28b7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c536e60-9e4d-4284-b828-de59c7936c4e' class='xr-var-data-in' type='checkbox'><label for='data-1c536e60-9e4d-4284-b828-de59c7936c4e' title='Show/Hide data repr'><svg 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>solar zenith angle degree range for the twilight region</dd></dl></div><div class='xr-var-data'><pre>array([87., 93.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_uncorrectable_GRB_errors</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-741786a5-a854-49aa-bd37-ff608bb650f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-741786a5-a854-49aa-bd37-ff608bb650f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90afe658-283a-4200-ba4a-ea9508e4e700' class='xr-var-data-in' type='checkbox'><label for='data-90afe658-283a-4200-ba4a-ea9508e4e700' title='Show/Hide data repr'><svg 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>percent data lost due to uncorrectable GRB errors</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (uncorrectable GRB errors only)</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_uncorrectable_L0_errors</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7c350fc8-0682-4557-ac09-e5a4be2df786' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c350fc8-0682-4557-ac09-e5a4be2df786' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4da899bd-27a8-443b-a79f-30657d61a115' class='xr-var-data-in' type='checkbox'><label for='data-4da899bd-27a8-443b-a79f-30657d61a115' title='Show/Hide data repr'><svg 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>percent data lost due to uncorrectable L0 errors</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (uncorrectable L0 errors only)</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filename</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U108</div><div class='xr-var-preview xr-preview'>&#x27;noaa-goes17/ABI-L2-ACMF/2021/20...</div><input id='attrs-ce708b78-9433-4980-9c09-a29536c62c9b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce708b78-9433-4980-9c09-a29536c62c9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f643192-89c2-4b01-9654-b6e5d0fa3f3b' class='xr-var-data-in' type='checkbox'><label for='data-7f643192-89c2-4b01-9654-b6e5d0fa3f3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;noaa-goes17/ABI-L2-ACMF/2021/200/21/OR_ABI-L2-ACMF-M6_G17_s20212002100321_e20212002109388_c20212002110059.nc&#x27;,\n",
       "      dtype=&#x27;&lt;U108&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2168a3f2-5d91-496f-97c1-16be6a343a8b' class='xr-section-summary-in' type='checkbox'  ><label for='section-2168a3f2-5d91-496f-97c1-16be6a343a8b' class='xr-section-summary' >Attributes: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>naming_authority :</span></dt><dd>gov.nesdis.noaa</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v35, 20 July 2016)</dd><dt><span>institution :</span></dt><dd>DOC/NOAA/NESDIS &gt; U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Services</dd><dt><span>project :</span></dt><dd>GOES</dd><dt><span>production_site :</span></dt><dd>NSOF</dd><dt><span>production_environment :</span></dt><dd>OE</dd><dt><span>spatial_resolution :</span></dt><dd>2km at nadir</dd><dt><span>orbital_slot :</span></dt><dd>GOES-West</dd><dt><span>platform_ID :</span></dt><dd>G17</dd><dt><span>instrument_type :</span></dt><dd>GOES R Series Advanced Baseline Imager</dd><dt><span>scene_id :</span></dt><dd>Full Disk</dd><dt><span>instrument_ID :</span></dt><dd>FM2</dd><dt><span>iso_series_metadata_id :</span></dt><dd>b015d6f0-b002-11e1-afa6-0800200c9a66</dd><dt><span>title :</span></dt><dd>ABI L2 Clear Sky Mask</dd><dt><span>summary :</span></dt><dd>The Clear Sky Mask product consists of a binary cloud mask identifying pixels as &#x27;clear or probably clear&#x27; or &#x27;cloudy or probably cloudy&#x27;. The binary cloud mask is generated through a series of cloud detection threshold tests that key on the spatial, spectral, and temporal characteristics associated with the cloud and clear-sky states. Product data is generated both day and night.</dd><dt><span>keywords :</span></dt><dd>ATMOSPHERE &gt; CLOUDS &gt; CLOUD AMOUNT/FREQUENCY</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Earth Science Keywords, Version 7.0.0.0.0</dd><dt><span>license :</span></dt><dd>Unclassified data.  Access is restricted to approved users only.</dd><dt><span>processing_level :</span></dt><dd>National Aeronautics and Space Administration (NASA) L2</dd><dt><span>cdm_data_type :</span></dt><dd>Image</dd><dt><span>timeline_id :</span></dt><dd>ABI Mode 6</dd><dt><span>production_data_source :</span></dt><dd>Realtime</dd><dt><span>id :</span></dt><dd>acaac04f-ab8f-4c4a-82c8-5129bac469d3</dd><dt><span>path :</span></dt><dd>[&#x27;noaa-goes17/ABI-L2-ACMF/2021/200/21/OR_ABI-L2-ACMF-M6_G17_s20212002100321_e20212002109388_c20212002110059.nc&#x27;]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                                                     (y: 5424,\n",
       "                                                                 x: 5424,\n",
       "                                                                 number_of_time_bounds: 2,\n",
       "                                                                 number_of_image_bounds: 2,\n",
       "                                                                 RTM_BT_comparison_bands: 2,\n",
       "                                                                 number_of_LZA_bounds: 2,\n",
       "                                                                 number_of_SZA_bounds: 2)\n",
       "Coordinates: (12/15)\n",
       "    t                                                           datetime64[ns] ...\n",
       "  * y                                                           (y) float32 0...\n",
       "  * x                                                           (x) float32 -...\n",
       "    y_image                                                     float32 ...\n",
       "    x_image                                                     float32 ...\n",
       "    retrieval_local_zenith_angle                                float32 ...\n",
       "    ...                                                          ...\n",
       "    RTM_BT_comparison_wavelengths                               (RTM_BT_comparison_bands) float32 ...\n",
       "    RTM_BT_comparison_band_ids                                  (RTM_BT_comparison_bands) int8 ...\n",
       "    dataset_name                                                <U72 'OR_ABI-...\n",
       "    date_created                                                <U22 '2021-07...\n",
       "    time_coverage_start                                         <U22 '2021-07...\n",
       "    time_coverage_end                                           <U22 '2021-07...\n",
       "Dimensions without coordinates: number_of_time_bounds, number_of_image_bounds,\n",
       "                                RTM_BT_comparison_bands, number_of_LZA_bounds,\n",
       "                                number_of_SZA_bounds\n",
       "Data variables: (12/38)\n",
       "    BCM                                                         (y, x) float32 ...\n",
       "    DQF                                                         (y, x) float32 ...\n",
       "    time_bounds                                                 (number_of_time_bounds) datetime64[ns] ...\n",
       "    goes_imager_projection                                      int32 ...\n",
       "    y_image_bounds                                              (number_of_image_bounds) float32 ...\n",
       "    x_image_bounds                                              (number_of_image_bounds) float32 ...\n",
       "    ...                                                          ...\n",
       "    quantitative_local_zenith_angle_bounds                      (number_of_LZA_bounds) float32 ...\n",
       "    retrieval_solar_zenith_angle_bounds                         (number_of_SZA_bounds) float32 ...\n",
       "    twilight_solar_zenith_angle_bounds                          (number_of_SZA_bounds) float32 ...\n",
       "    percent_uncorrectable_GRB_errors                            float32 ...\n",
       "    percent_uncorrectable_L0_errors                             float32 ...\n",
       "    filename                                                    <U108 'noaa-g...\n",
       "Attributes: (12/26)\n",
       "    naming_authority:          gov.nesdis.noaa\n",
       "    Conventions:               CF-1.7\n",
       "    Metadata_Conventions:      Unidata Dataset Discovery v1.0\n",
       "    standard_name_vocabulary:  CF Standard Name Table (v35, 20 July 2016)\n",
       "    institution:               DOC/NOAA/NESDIS > U.S. Department of Commerce,...\n",
       "    project:                   GOES\n",
       "    ...                        ...\n",
       "    processing_level:          National Aeronautics and Space Administration ...\n",
       "    cdm_data_type:             Image\n",
       "    timeline_id:               ABI Mode 6\n",
       "    production_data_source:    Realtime\n",
       "    id:                        acaac04f-ab8f-4c4a-82c8-5129bac469d3\n",
       "    path:                      ['noaa-goes17/ABI-L2-ACMF/2021/200/21/OR_ABI-L..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read a file with xarray\n",
    "G.nearesttime(\"2021-07-19 21:00:00\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from goes2go.data import goes_nearesttime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📦 Finished downloading [1] files to [C:\\Users\\blayl_depgywe\\data\\noaa-goes17\\ABI-L2-ACMF].\n",
      "📚 Finished reading [1] files into xarray.Dataset.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      \n"
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       "Dimensions:                                                     (y: 5424,\n",
       "                                                                 x: 5424,\n",
       "                                                                 number_of_time_bounds: 2,\n",
       "                                                                 number_of_image_bounds: 2,\n",
       "                                                                 RTM_BT_comparison_bands: 2,\n",
       "                                                                 number_of_LZA_bounds: 2,\n",
       "                                                                 number_of_SZA_bounds: 2)\n",
       "Coordinates: (12/15)\n",
       "    t                                                           datetime64[ns] ...\n",
       "  * y                                                           (y) float32 0...\n",
       "  * x                                                           (x) float32 -...\n",
       "    y_image                                                     float32 0.0\n",
       "    x_image                                                     float32 0.0\n",
       "    retrieval_local_zenith_angle                                float32 90.0\n",
       "    ...                                                          ...\n",
       "    RTM_BT_comparison_wavelengths                               (RTM_BT_comparison_bands) float32 ...\n",
       "    RTM_BT_comparison_band_ids                                  (RTM_BT_comparison_bands) int8 ...\n",
       "    dataset_name                                                &lt;U72 &#x27;OR_ABI-...\n",
       "    date_created                                                &lt;U22 &#x27;2021-07...\n",
       "    time_coverage_start                                         &lt;U22 &#x27;2021-07...\n",
       "    time_coverage_end                                           &lt;U22 &#x27;2021-07...\n",
       "Dimensions without coordinates: number_of_time_bounds, number_of_image_bounds,\n",
       "                                RTM_BT_comparison_bands, number_of_LZA_bounds,\n",
       "                                number_of_SZA_bounds\n",
       "Data variables: (12/38)\n",
       "    BCM                                                         (y, x) float32 ...\n",
       "    DQF                                                         (y, x) float32 ...\n",
       "    time_bounds                                                 (number_of_time_bounds) datetime64[ns] ...\n",
       "    goes_imager_projection                                      int32 -214748...\n",
       "    y_image_bounds                                              (number_of_image_bounds) float32 ...\n",
       "    x_image_bounds                                              (number_of_image_bounds) float32 ...\n",
       "    ...                                                          ...\n",
       "    quantitative_local_zenith_angle_bounds                      (number_of_LZA_bounds) float32 ...\n",
       "    retrieval_solar_zenith_angle_bounds                         (number_of_SZA_bounds) float32 ...\n",
       "    twilight_solar_zenith_angle_bounds                          (number_of_SZA_bounds) float32 ...\n",
       "    percent_uncorrectable_GRB_errors                            float64 0.0\n",
       "    percent_uncorrectable_L0_errors                             float64 0.0\n",
       "    filename                                                    &lt;U108 &#x27;noaa-g...\n",
       "Attributes: (12/26)\n",
       "    naming_authority:          gov.nesdis.noaa\n",
       "    Conventions:               CF-1.7\n",
       "    Metadata_Conventions:      Unidata Dataset Discovery v1.0\n",
       "    standard_name_vocabulary:  CF Standard Name Table (v35, 20 July 2016)\n",
       "    institution:               DOC/NOAA/NESDIS &gt; U.S. Department of Commerce,...\n",
       "    project:                   GOES\n",
       "    ...                        ...\n",
       "    processing_level:          National Aeronautics and Space Administration ...\n",
       "    cdm_data_type:             Image\n",
       "    timeline_id:               ABI Mode 6\n",
       "    production_data_source:    Realtime\n",
       "    id:                        acaac04f-ab8f-4c4a-82c8-5129bac469d3\n",
       "    path:                      [&#x27;noaa-goes17/ABI-L2-ACMF/2021/200/21/OR_ABI-L...</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-d151ccbe-a3a8-4a36-8737-e3d62f3f7a08' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d151ccbe-a3a8-4a36-8737-e3d62f3f7a08' 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'>y</span>: 5424</li><li><span class='xr-has-index'>x</span>: 5424</li><li><span>number_of_time_bounds</span>: 2</li><li><span>number_of_image_bounds</span>: 2</li><li><span>RTM_BT_comparison_bands</span>: 2</li><li><span>number_of_LZA_bounds</span>: 2</li><li><span>number_of_SZA_bounds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8cfaab26-cd98-42ba-bb79-298e9013e8a3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8cfaab26-cd98-42ba-bb79-298e9013e8a3' class='xr-section-summary' >Coordinates: <span>(15)</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>t</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1b61de93-ca99-4123-9e3f-cdabe715c49a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b61de93-ca99-4123-9e3f-cdabe715c49a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d11bfd48-92b6-4620-a149-5d0da6e5f305' class='xr-var-data-in' type='checkbox'><label for='data-d11bfd48-92b6-4620-a149-5d0da6e5f305' title='Show/Hide data repr'><svg 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>J2000 epoch mid-point between the start and end image scan in seconds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-07-19T21:05:05.492656000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.1518 0.1518 ... -0.1518 -0.1518</div><input id='attrs-be881009-25a3-4544-b750-daa37fb0e579' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be881009-25a3-4544-b750-daa37fb0e579' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c074114-8dd6-4251-ad9e-6921dda2a36d' class='xr-var-data-in' type='checkbox'><label for='data-0c074114-8dd6-4251-ad9e-6921dda2a36d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>GOES fixed grid projection y-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.151844,  0.151788,  0.151732, ..., -0.151732, -0.151788, -0.151844],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.1518 -0.1518 ... 0.1518 0.1518</div><input id='attrs-b0d2d6a5-6e7e-4f06-9e3d-3e38ac970f95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0d2d6a5-6e7e-4f06-9e3d-3e38ac970f95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1d71767-0655-44a7-9ca2-52d5bd572cce' class='xr-var-data-in' type='checkbox'><label for='data-e1d71767-0655-44a7-9ca2-52d5bd572cce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>GOES fixed grid projection x-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-0.151844, -0.151788, -0.151732, ...,  0.151732,  0.151788,  0.151844],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_image</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd48fa9e-bc78-42a9-9ebf-8b225a2c4202' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd48fa9e-bc78-42a9-9ebf-8b225a2c4202' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4037cebf-135d-4ffd-b0a1-a3ff1873e1f8' class='xr-var-data-in' type='checkbox'><label for='data-4037cebf-135d-4ffd-b0a1-a3ff1873e1f8' title='Show/Hide data repr'><svg 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>GOES-R fixed grid projection y-coordinate center of image</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(0., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_image</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e78733b5-ab18-417c-9171-92dc86f7278d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e78733b5-ab18-417c-9171-92dc86f7278d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f3fc4d0-f964-4103-bdb8-5884b1f2009f' class='xr-var-data-in' type='checkbox'><label for='data-3f3fc4d0-f964-4103-bdb8-5884b1f2009f' title='Show/Hide data repr'><svg 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>GOES-R fixed grid projection x-coordinate center of image</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(0., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>retrieval_local_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c0edf248-9853-442d-8d86-1f155b8f59a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0edf248-9853-442d-8d86-1f155b8f59a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01d49cec-5bbb-48e8-98cd-5ab2a0ca19f9' class='xr-var-data-in' type='checkbox'><label for='data-01d49cec-5bbb-48e8-98cd-5ab2a0ca19f9' title='Show/Hide data repr'><svg 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>threshold angle between the line of sight to the satellite and the local zenith at the observation target for good or degraded quality clear sky mask data production</dd><dt><span>standard_name :</span></dt><dd>platform_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>retrieval_local_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>array(90., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quantitative_local_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42bc0eac-6fb2-472e-8d4b-dece29ed6dd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42bc0eac-6fb2-472e-8d4b-dece29ed6dd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdd05812-db2b-44c0-a977-ce0784c3adbe' class='xr-var-data-in' type='checkbox'><label for='data-fdd05812-db2b-44c0-a977-ce0784c3adbe' title='Show/Hide data repr'><svg 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>threshold angle between the line of sight to the satellite and the local zenith at the observation target for good quality clear sky mask data production</dd><dt><span>standard_name :</span></dt><dd>platform_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>quantitative_local_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>array(70., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>retrieval_solar_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-46d919cd-c802-4927-a761-7309693b7d79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46d919cd-c802-4927-a761-7309693b7d79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51c93276-ad9a-49f6-aef9-9d0efc64ff5a' class='xr-var-data-in' type='checkbox'><label for='data-51c93276-ad9a-49f6-aef9-9d0efc64ff5a' title='Show/Hide data repr'><svg 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>threshold angle between the line of sight to the sun and the local zenith at the observation target for good quality clear sky mask data production</dd><dt><span>standard_name :</span></dt><dd>solar_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>retrieval_solar_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>array(180., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>twilight_solar_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2dc95751-5189-44d7-86f6-570c1affc0f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2dc95751-5189-44d7-86f6-570c1affc0f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f43ea32-fdd6-4d5a-8006-4ab8bbbe8544' class='xr-var-data-in' type='checkbox'><label for='data-6f43ea32-fdd6-4d5a-8006-4ab8bbbe8544' title='Show/Hide data repr'><svg 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>midpoint of the twilight region for the angle between the line of sight to the sun and the local zenith at the observation target</dd><dt><span>standard_name :</span></dt><dd>solar_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>twilight_solar_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>array(90., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RTM_BT_comparison_wavelengths</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6bcabcb0-4ee6-4438-96f0-044b4d31e764' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bcabcb0-4ee6-4438-96f0-044b4d31e764' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69c289e9-8d01-41d7-a68d-4a35eaa20f8f' class='xr-var-data-in' type='checkbox'><label for='data-69c289e9-8d01-41d7-a68d-4a35eaa20f8f' title='Show/Hide data repr'><svg 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>ABI center wavelengths associated with radiative transfer model&#x27;s brightness temperature comparison outputs</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>array([11.19, 12.27], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RTM_BT_comparison_band_ids</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6896a446-ee56-46a6-ae6c-29132b08ef86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6896a446-ee56-46a6-ae6c-29132b08ef86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-282310a4-ffc2-49ff-848c-e5baf6930f02' class='xr-var-data-in' type='checkbox'><label for='data-282310a4-ffc2-49ff-848c-e5baf6930f02' title='Show/Hide data repr'><svg 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>ABI band identifiers associated with radiative transfer model&#x27;s brightness temperature comparison outputs</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([14, 15], dtype=int8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dataset_name</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U72</div><div class='xr-var-preview xr-preview'>&#x27;OR_ABI-L2-ACMF-M6_G17_s20212002...</div><input id='attrs-c1365bc4-4e76-487b-af0a-e74f27042a2b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c1365bc4-4e76-487b-af0a-e74f27042a2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b849f6b-39d5-420d-b49d-7a797c844ba1' class='xr-var-data-in' type='checkbox'><label for='data-4b849f6b-39d5-420d-b49d-7a797c844ba1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;OR_ABI-L2-ACMF-M6_G17_s20212002100321_e20212002109388_c20212002110059.nc&#x27;,\n",
       "      dtype=&#x27;&lt;U72&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>date_created</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U22</div><div class='xr-var-preview xr-preview'>&#x27;2021-07-19T21:10:05.9Z&#x27;</div><input id='attrs-f26c3225-7070-4fc4-b38b-e9b17ed3b74e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f26c3225-7070-4fc4-b38b-e9b17ed3b74e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8eb7f827-62ba-4dd7-8603-369f4579b8e5' class='xr-var-data-in' type='checkbox'><label for='data-8eb7f827-62ba-4dd7-8603-369f4579b8e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-07-19T21:10:05.9Z&#x27;, dtype=&#x27;&lt;U22&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_coverage_start</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U22</div><div class='xr-var-preview xr-preview'>&#x27;2021-07-19T21:00:32.1Z&#x27;</div><input id='attrs-eb3f6485-52d2-486c-8454-56e903932111' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eb3f6485-52d2-486c-8454-56e903932111' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-453752c3-5a40-4d18-ba73-76cef321c730' class='xr-var-data-in' type='checkbox'><label for='data-453752c3-5a40-4d18-ba73-76cef321c730' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-07-19T21:00:32.1Z&#x27;, dtype=&#x27;&lt;U22&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_coverage_end</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U22</div><div class='xr-var-preview xr-preview'>&#x27;2021-07-19T21:09:38.8Z&#x27;</div><input id='attrs-320a94e5-756a-43f4-a538-21dda3332cf7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-320a94e5-756a-43f4-a538-21dda3332cf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cef504b9-9ec4-48a7-850f-0bb87f4ac22a' class='xr-var-data-in' type='checkbox'><label for='data-cef504b9-9ec4-48a7-850f-0bb87f4ac22a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-07-19T21:09:38.8Z&#x27;, dtype=&#x27;&lt;U22&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e8ac189c-b02f-452a-9493-321d094df633' class='xr-section-summary-in' type='checkbox'  ><label for='section-e8ac189c-b02f-452a-9493-321d094df633' class='xr-section-summary' >Data variables: <span>(38)</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>BCM</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4e1a90b-d7e7-4450-bd4b-03b4b191ff88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4e1a90b-d7e7-4450-bd4b-03b4b191ff88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-277f3bbd-6917-46f7-af60-6f4553096c95' class='xr-var-data-in' type='checkbox'><label for='data-277f3bbd-6917-46f7-af60-6f4553096c95' title='Show/Hide data repr'><svg 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>ABI L2+ Clear Sky Mask</dd><dt><span>standard_name :</span></dt><dd>cloud_binary_mask</dd><dt><span>valid_range :</span></dt><dd>[0 1]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>retrieval_local_zenith_angle: point (good or degraded quality pixel produced) quantitative_local_zenith_angle: point (good quality pixel produced) retrieval_solar_zenith_angle: point (good quality pixel produced) t: point area: point</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>clear_or_probably_clear cloudy_or_probably_cloudy</dd><dt><span>ancillary_variables :</span></dt><dd>DQF</dd><dt><span>clear_pixel_definition :</span></dt><dd>no cloud detected and failed a test for high values of spatial heterogeneity</dd><dt><span>probably_clear_pixel_definition :</span></dt><dd>no cloud detected but passed a test for high values of spatial heterogeneity and one or more neighboring pixels identified as cloudy. pixel is possibly cloud-contaminated</dd><dt><span>probably_cloudy_pixel_definition :</span></dt><dd>cloud detected but likely contains a cloud edge, since one or more neighboring pixels are clear. pixel is probably cloud-contaminated</dd><dt><span>cloudy_pixel_definition :</span></dt><dd>cloud detected and failed a test for cloud edges</dd></dl></div><div class='xr-var-data'><pre>[29419776 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2d833b9c-f30f-4ce3-b499-b3829871e8bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d833b9c-f30f-4ce3-b499-b3829871e8bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33e46dce-de08-4a23-84a1-a921de1092ce' class='xr-var-data-in' type='checkbox'><label for='data-33e46dce-de08-4a23-84a1-a921de1092ce' title='Show/Hide data repr'><svg 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>ABI L2+ Clear Sky Mask data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 6]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>retrieval_local_zenith_angle: point quantitative_local_zenith_angle: point retrieval_solar_zenith_angle: point t: point area: point</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4 5 6]</dd><dt><span>flag_meanings :</span></dt><dd>good_quality_qf invalid_due_to_not_geolocated_or_algorithm_non_execution_qf degraded_due_to_LZA_threshold_exceeded_qf invalid_due_to_bad_or_missing_input_band_14_brightness_temperature_qf degraded_due_to_bad_input_band_7_pixel_qf degraded_due_to_failed_band_2_tests_qf degraded_due_to_other_bad_bands_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>7</dd><dt><span>percent_good_quality_qf :</span></dt><dd>0.8816351</dd><dt><span>percent_invalid_due_to_not_geolocated_or_algorithm_non_execution_qf :</span></dt><dd>0.1284324</dd><dt><span>percent_degraded_due_to_LZA_threshold_exceeded_qf :</span></dt><dd>0.0891377</dd><dt><span>percent_invalid_due_to_bad_or_missing_input_band_14_brightness_temperature_qf :</span></dt><dd>0.0292272</dd><dt><span>percent_degraded_due_to_bad_input_band_7_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_degraded_due_to_failed_band_2_tests_qf :</span></dt><dd>0.0</dd><dt><span>percent_degraded_due_to_other_bad_bands_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[29419776 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bounds</span></div><div class='xr-var-dims'>(number_of_time_bounds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e56b8e1b-5dd7-41d2-b570-5fdfdbbeb59a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e56b8e1b-5dd7-41d2-b570-5fdfdbbeb59a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e663af24-ed48-4f57-a89d-27195c655234' class='xr-var-data-in' type='checkbox'><label for='data-e663af24-ed48-4f57-a89d-27195c655234' title='Show/Hide data repr'><svg 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>Scan start and end times in seconds since epoch (2000-01-01 12:00:00)</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-07-19T21:00:32.155169920&#x27;, &#x27;2021-07-19T21:09:38.830142080&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>goes_imager_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36cdf876-2337-4ceb-9c82-77babea87e43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36cdf876-2337-4ceb-9c82-77babea87e43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ab7f7d9-8177-46f2-a828-5947b436c22a' class='xr-var-data-in' type='checkbox'><label for='data-2ab7f7d9-8177-46f2-a828-5947b436c22a' title='Show/Hide data repr'><svg 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>GOES-R ABI fixed grid projection</dd><dt><span>grid_mapping_name :</span></dt><dd>geostationary</dd><dt><span>perspective_point_height :</span></dt><dd>35786023.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.31414</dd><dt><span>inverse_flattening :</span></dt><dd>298.2572221</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>-137.0</dd><dt><span>sweep_angle_axis :</span></dt><dd>x</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_image_bounds</span></div><div class='xr-var-dims'>(number_of_image_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ac38a14-ee49-4346-9a61-8f2f2e77ba9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ac38a14-ee49-4346-9a61-8f2f2e77ba9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ce88949-0c56-4e0e-986e-4248163fc525' class='xr-var-data-in' type='checkbox'><label for='data-1ce88949-0c56-4e0e-986e-4248163fc525' title='Show/Hide data repr'><svg 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>GOES-R fixed grid projection y-coordinate north/south extent of image</dd><dt><span>units :</span></dt><dd>rad</dd></dl></div><div class='xr-var-data'><pre>array([ 0.151872, -0.151872], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_image_bounds</span></div><div class='xr-var-dims'>(number_of_image_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ae909743-7719-4dc8-8726-5b9c11ae1375' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae909743-7719-4dc8-8726-5b9c11ae1375' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7350db7-8fac-40cf-85a9-3e21c2258d8e' class='xr-var-data-in' type='checkbox'><label for='data-a7350db7-8fac-40cf-85a9-3e21c2258d8e' title='Show/Hide data repr'><svg 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>GOES-R fixed grid projection x-coordinate west/east extent of image</dd><dt><span>units :</span></dt><dd>rad</dd></dl></div><div class='xr-var-data'><pre>array([-0.151872,  0.151872], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nominal_satellite_subpoint_lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a3910191-09c9-4aba-ae2d-471fd1ad1867' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3910191-09c9-4aba-ae2d-471fd1ad1867' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55a615be-5e8d-4ae4-9a1d-40b061cbcd3d' class='xr-var-data-in' type='checkbox'><label for='data-55a615be-5e8d-4ae4-9a1d-40b061cbcd3d' title='Show/Hide data repr'><svg 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>nominal satellite subpoint latitude (platform latitude)</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nominal_satellite_subpoint_lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d5e334d-fff4-4719-b837-e39d21c69b32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d5e334d-fff4-4719-b837-e39d21c69b32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7576db97-df0e-4504-baba-0b0342d3d9c9' class='xr-var-data-in' type='checkbox'><label for='data-7576db97-df0e-4504-baba-0b0342d3d9c9' title='Show/Hide data repr'><svg 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>nominal satellite subpoint longitude (platform longitude)</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array(-137.199997)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nominal_satellite_height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a6d619de-ffe1-44a8-880a-c0e0e636e8c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6d619de-ffe1-44a8-880a-c0e0e636e8c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0e19278-307f-4064-bd7f-7f4c2b2ac495' class='xr-var-data-in' type='checkbox'><label for='data-d0e19278-307f-4064-bd7f-7f4c2b2ac495' title='Show/Hide data repr'><svg 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>nominal satellite height above GRS 80 ellipsoid (platform altitude)</dd><dt><span>standard_name :</span></dt><dd>height_above_reference_ellipsoid</dd><dt><span>units :</span></dt><dd>km</dd></dl></div><div class='xr-var-data'><pre>array(35786.023438)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geospatial_lat_lon_extent</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-25544042-c9a8-4760-88c4-a6208d1b7398' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25544042-c9a8-4760-88c4-a6208d1b7398' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a568c044-ace0-40d9-8023-5a4ad5a3b074' class='xr-var-data-in' type='checkbox'><label for='data-a568c044-ace0-40d9-8023-5a4ad5a3b074' title='Show/Hide data repr'><svg 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>geospatial latitude and longitude references</dd><dt><span>geospatial_westbound_longitude :</span></dt><dd>141.7005</dd><dt><span>geospatial_northbound_latitude :</span></dt><dd>81.3282</dd><dt><span>geospatial_eastbound_longitude :</span></dt><dd>-55.7005</dd><dt><span>geospatial_southbound_latitude :</span></dt><dd>-81.3282</dd><dt><span>geospatial_lat_center :</span></dt><dd>0.0</dd><dt><span>geospatial_lon_center :</span></dt><dd>-137.0</dd><dt><span>geospatial_lat_nadir :</span></dt><dd>0.0</dd><dt><span>geospatial_lon_nadir :</span></dt><dd>-137.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array(9.96921e+36, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_number_of_cloud_mask_points</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3f32bf5b-7390-4a80-bc9c-f68e09cc88ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f32bf5b-7390-4a80-bc9c-f68e09cc88ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6f51e38-3905-4bbe-8d95-b89e20bc9895' class='xr-var-data-in' type='checkbox'><label for='data-d6f51e38-3905-4bbe-8d95-b89e20bc9895' title='Show/Hide data repr'><svg 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>total number of clear sky mask pixels</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(20318490.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_clear_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0e8d057-3ee3-4f08-a950-256b8176f4a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0e8d057-3ee3-4f08-a950-256b8176f4a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64e88c5e-15df-474f-b036-1f8b5e04f4e3' class='xr-var-data-in' type='checkbox'><label for='data-64e88c5e-15df-474f-b036-1f8b5e04f4e3' title='Show/Hide data repr'><svg 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>number of clear pixels that do not exceed local zenith angle threshold</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array(4379912.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_probably_clear_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-338ff5e4-1fd0-4d55-b5bf-83f00b841555' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-338ff5e4-1fd0-4d55-b5bf-83f00b841555' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6210b63-a6d0-4bf4-8318-c0340d1c84d0' class='xr-var-data-in' type='checkbox'><label for='data-f6210b63-a6d0-4bf4-8318-c0340d1c84d0' title='Show/Hide data repr'><svg 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>number of probably clear pixels (surrounding NxN pixels centered on pixel have high degree of spatial heterogeneity, and one or more adjacent pixels are identified as cloudy) that do not exceed local zenith angle threshold</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array(1944356.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_probably_cloudy_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e65ce71d-2281-49af-b069-0e2866465996' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e65ce71d-2281-49af-b069-0e2866465996' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d797f285-2066-41fc-8eaa-43664fb639a4' class='xr-var-data-in' type='checkbox'><label for='data-d797f285-2066-41fc-8eaa-43664fb639a4' title='Show/Hide data repr'><svg 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>number of probably cloudy pixels (cloud detected in pixel, likely contains a cloud edge, and one or more adjacent pixels are clear) that do not exceed local zenith angle threshold</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where cloud</dd></dl></div><div class='xr-var-data'><pre>array(2005823.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_cloudy_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1e18a7b1-54d3-4103-9826-562801512757' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e18a7b1-54d3-4103-9826-562801512757' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bcc88d9-b9d6-42cd-ade2-fe331a107b2b' class='xr-var-data-in' type='checkbox'><label for='data-4bcc88d9-b9d6-42cd-ade2-fe331a107b2b' title='Show/Hide data repr'><svg 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>number of cloudy pixels that do not exceed local zenith angle threshold</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where cloud</dd></dl></div><div class='xr-var-data'><pre>array(11988399.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_clear_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c422887b-8b3e-462c-bf67-cb472c7440c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c422887b-8b3e-462c-bf67-cb472c7440c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52269135-9392-4e7d-9397-cc1e92da062a' class='xr-var-data-in' type='checkbox'><label for='data-52269135-9392-4e7d-9397-cc1e92da062a' title='Show/Hide data repr'><svg 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>percent of clear pixels that do not exceed local zenith angle threshold</dd><dt><span>standard_name :</span></dt><dd>clear_sky_area_fraction</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array(0.190048)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_probably_clear_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b00e130a-0aef-44bc-85e8-9ced92acaa00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b00e130a-0aef-44bc-85e8-9ced92acaa00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18a5f209-1010-44e6-b517-eb07ecc9f448' class='xr-var-data-in' type='checkbox'><label for='data-18a5f209-1010-44e6-b517-eb07ecc9f448' title='Show/Hide data repr'><svg 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>percent of probably clear pixels (surrounding NxN pixels centered on pixel have high degree of spatial heterogeneity, and one or more adjacent pixels are identified as cloudy) that do not exceed local zenith angle threshold</dd><dt><span>standard_name :</span></dt><dd>clear_sky_area_fraction</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array(0.084367)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_probably_cloudy_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-507136d7-b8e5-4288-8471-1156acbf8c21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-507136d7-b8e5-4288-8471-1156acbf8c21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42d0da2a-7205-4dfd-90b8-dbacda0478a4' class='xr-var-data-in' type='checkbox'><label for='data-42d0da2a-7205-4dfd-90b8-dbacda0478a4' title='Show/Hide data repr'><svg 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>percent of probably cloudy pixels (cloud detected in pixel, likely contains a cloud edge, and one or more adjacent pixels are clear) that do not exceed local zenith angle threshold</dd><dt><span>standard_name :</span></dt><dd>cloud_area_fraction</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle : sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where cloud</dd></dl></div><div class='xr-var-data'><pre>array(0.087034)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_cloudy_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2f375d0e-5e0c-479e-bce5-afc359435766' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f375d0e-5e0c-479e-bce5-afc359435766' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e011b96c-8243-47d4-9219-cdb181f64670' class='xr-var-data-in' type='checkbox'><label for='data-e011b96c-8243-47d4-9219-cdb181f64670' title='Show/Hide data repr'><svg 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>percent of cloudy pixels that do not exceed local zenith angle threshold</dd><dt><span>standard_name :</span></dt><dd>cloud_area_fraction</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: good quality pixels only) where cloud</dd></dl></div><div class='xr-var-data'><pre>array(0.520186)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_terminator_pixels</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5fcf58b4-e4cf-47bf-82a0-3bac2c02d8d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fcf58b4-e4cf-47bf-82a0-3bac2c02d8d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5052a7be-8785-4f9b-8dd5-4325fa63aaeb' class='xr-var-data-in' type='checkbox'><label for='data-5052a7be-8785-4f9b-8dd5-4325fa63aaeb' title='Show/Hide data repr'><svg 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>percent of pixels that are associated with the twilight solar zenith angle range</dd><dt><span>standard_name :</span></dt><dd>area_fraction_of_twilight_defined_by_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>retrieval_local_zenith_angle: sum twilight_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: geolocated/not missing pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(0.01206)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_obs_modeled_diff_RTM_BT_comparison_bands_all_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5db7d645-806e-4184-afb4-31b5d154d6f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5db7d645-806e-4184-afb4-31b5d154d6f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-203e910e-8959-4666-b410-559cea331249' class='xr-var-data-in' type='checkbox'><label for='data-203e910e-8959-4666-b410-559cea331249' title='Show/Hide data repr'><svg 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>minimum difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: minimum (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([-103.08444 ,  -94.827835], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_obs_modeled_diff_RTM_BT_comparison_bands_all_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8be45036-13bc-47e8-a9df-d91845e9a076' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8be45036-13bc-47e8-a9df-d91845e9a076' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25b2010e-0a52-420a-ac3a-53f4e53b77fa' class='xr-var-data-in' type='checkbox'><label for='data-25b2010e-0a52-420a-ac3a-53f4e53b77fa' title='Show/Hide data repr'><svg 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>maximum difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: maximum (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([26.620728, 22.426666], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_obs_modeled_diff_RTM_BT_comparison_bands_all_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1dbd9198-7bd3-4db0-aae0-18e56fc3602a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dbd9198-7bd3-4db0-aae0-18e56fc3602a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c533819-ee03-4ed8-85fc-f2f54845051c' class='xr-var-data-in' type='checkbox'><label for='data-7c533819-ee03-4ed8-85fc-f2f54845051c' title='Show/Hide data repr'><svg 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>mean difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: mean (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([-11.042196, -10.077215], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_obs_modeled_diff_RTM_BT_comparison_bands_all_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad8e9500-f24a-4bf8-a48b-56d6c3fea86c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad8e9500-f24a-4bf8-a48b-56d6c3fea86c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe949a19-d8c3-4768-8642-90e56c3d1f32' class='xr-var-data-in' type='checkbox'><label for='data-fe949a19-d8c3-4768-8642-90e56c3d1f32' title='Show/Hide data repr'><svg 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>standard deviation of the difference of the observed and modeled brightness temperature values (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: standard_deviation (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([17.06145 , 16.432896], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_obs_modeled_diff_RTM_BT_comparison_bands_clear_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-73ef2d8b-6b07-4fad-8fa3-cb6c10793d2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73ef2d8b-6b07-4fad-8fa3-cb6c10793d2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ba9ea0f-d89b-4430-8925-13f03757fb51' class='xr-var-data-in' type='checkbox'><label for='data-1ba9ea0f-d89b-4430-8925-13f03757fb51' title='Show/Hide data repr'><svg 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>minimum difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths for the clear sky portion of image</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: minimum (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array([-21.617157, -17.318726], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_obs_modeled_diff_RTM_BT_comparison_bands_clear_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ab9e9f60-f0d9-43a5-9f3f-7b80a7b93cb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab9e9f60-f0d9-43a5-9f3f-7b80a7b93cb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d649a4b1-c7cb-4491-bea4-cd869bf8857e' class='xr-var-data-in' type='checkbox'><label for='data-d649a4b1-c7cb-4491-bea4-cd869bf8857e' title='Show/Hide data repr'><svg 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>maximum difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths for the clear sky portion of image</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: maximum (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array([26.620728, 22.426666], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_obs_modeled_diff_RTM_BT_comparison_bands_clear_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e79c1856-d2fe-427f-b503-1127e314a183' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e79c1856-d2fe-427f-b503-1127e314a183' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef8c1b33-89fb-4b63-b3df-5d30d3e98e7d' class='xr-var-data-in' type='checkbox'><label for='data-ef8c1b33-89fb-4b63-b3df-5d30d3e98e7d' title='Show/Hide data repr'><svg 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>mean difference of the observed and modeled brightness temperature (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths for the clear sky portion of image</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: mean (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array([0.082135, 0.351777], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_obs_modeled_diff_RTM_BT_comparison_bands_clear_sky</span></div><div class='xr-var-dims'>(RTM_BT_comparison_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88e9a3ba-1650-4e49-a111-1f45b0ff81f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88e9a3ba-1650-4e49-a111-1f45b0ff81f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de0b99d3-5eac-491e-96de-7158eb9d36b1' class='xr-var-data-in' type='checkbox'><label for='data-de0b99d3-5eac-491e-96de-7158eb9d36b1' title='Show/Hide data repr'><svg 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>standard deviation of the differences of the observed and modeled brightness temperature values (Joint Center for Satellite Data Assimilation Community Radiative Transfer Model using temporally interpolated NWP data as input) at 11.19 and 12.27 um ABI central wavelengths for the clear sky portion of image</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: standard_deviation (interval: 0.000056 rad comment: corresponding good quality cloud mask pixels only) where clear_sky</dd></dl></div><div class='xr-var-data'><pre>array([1.185039, 1.092585], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>algorithm_dynamic_input_data_container</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-415f91c5-12e1-47ac-8aa9-55c2f6ca2615' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-415f91c5-12e1-47ac-8aa9-55c2f6ca2615' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e521aa28-885d-4bf8-85e3-fc52d7c25940' class='xr-var-data-in' type='checkbox'><label for='data-e521aa28-885d-4bf8-85e3-fc52d7c25940' title='Show/Hide data repr'><svg 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>container for filenames of dynamic algorithm input data</dd><dt><span>input_ABI_L2_auxiliary_solar_zenith_angle_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_auxiliary_scattering_angle_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_auxiliary_sunglint_angle_data :</span></dt><dd>null</dd><dt><span>input_ABI_L1b_radiance_band_7_2km_data :</span></dt><dd>OR_ABI-L1b-RADF-M6C07_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_14_2km_data :</span></dt><dd>OR_ABI-L1b-RADF-M6C14_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_9_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C09_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_10_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C10_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_11_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C11_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_14_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C14_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_15_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C15_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_16_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C16_G17_s20212002100321_e20212002109388_c*.nc</dd><dt><span>input_ABI_L2_intermediate_product_reflectance_band_2_2km_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_reflectance_band_4_2km_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_reflectance_band_5_2km_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_4_level_cloud_mask_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_radiance_band_7_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_radiance_band_14_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_cloudy_sky_radiance_band_14_profile_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_transmittance_band_7_profile_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_brightness_temperature_band_14_data :</span></dt><dd>null</dd><dt><span>input_ABI_L2_intermediate_product_CRTM_clear_sky_brightness_temperature_band_15_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_global_snow_mask_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_snow_mask_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_surface_temperature_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_total_precipitable_water_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_total_column_ozone_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_surface_level_index_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_tropopause_level_index_data :</span></dt><dd>null</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>processing_parm_version_container</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3507278c-77d8-4eb9-9a19-5344334d19f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3507278c-77d8-4eb9-9a19-5344334d19f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1e51a7c-6ca2-4e7e-b8a0-992df358bd61' class='xr-var-data-in' type='checkbox'><label for='data-c1e51a7c-6ca2-4e7e-b8a0-992df358bd61' title='Show/Hide data repr'><svg 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>container for processing parameter filenames</dd><dt><span>L2_processing_parm_version :</span></dt><dd>OR-PARM-ACM_v01r00.zip, OR-PARM-SEMISTATIC_v01r00.zip, OR-PARM-ANCILLARY_v01r00.zip, OR-PARM-AUXILIARY_v01r00.zip, OR-PARM-TARP_v01r00.zip</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>algorithm_product_version_container</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f5d5edf1-1f35-48e3-b0f8-ee2b2de4dab2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5d5edf1-1f35-48e3-b0f8-ee2b2de4dab2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71584983-cca9-4c2d-9bda-627e4e274ca7' class='xr-var-data-in' type='checkbox'><label for='data-71584983-cca9-4c2d-9bda-627e4e274ca7' title='Show/Hide data repr'><svg 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>container for algorithm package filename and product version</dd><dt><span>algorithm_version :</span></dt><dd>OR_ABI-L2-ALG-ACM_v01r00.zip</dd><dt><span>product_version :</span></dt><dd>v01r00</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>retrieval_local_zenith_angle_bounds</span></div><div class='xr-var-dims'>(number_of_LZA_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-443d0636-bc32-4ad5-a689-71204f345e1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-443d0636-bc32-4ad5-a689-71204f345e1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2b4b669-fb7b-4e1b-82fc-d9a96504ed79' class='xr-var-data-in' type='checkbox'><label for='data-e2b4b669-fb7b-4e1b-82fc-d9a96504ed79' title='Show/Hide data repr'><svg 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>local zenith angle degree range where good or degraded quality clear sky mask data is produced</dd></dl></div><div class='xr-var-data'><pre>array([ 0., 90.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quantitative_local_zenith_angle_bounds</span></div><div class='xr-var-dims'>(number_of_LZA_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8931c5f8-5306-4c7e-9d5f-d135a4950236' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8931c5f8-5306-4c7e-9d5f-d135a4950236' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aca3924e-a76d-4f51-812e-e14fd94bd9c3' class='xr-var-data-in' type='checkbox'><label for='data-aca3924e-a76d-4f51-812e-e14fd94bd9c3' title='Show/Hide data repr'><svg 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>local zenith angle degree range where good quality clear sky mask data is produced</dd></dl></div><div class='xr-var-data'><pre>array([ 0., 70.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>retrieval_solar_zenith_angle_bounds</span></div><div class='xr-var-dims'>(number_of_SZA_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-698a921a-6a6d-498c-a94d-e1fcd4413824' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-698a921a-6a6d-498c-a94d-e1fcd4413824' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07812753-f841-44ef-a4e0-fcb338dfebb4' class='xr-var-data-in' type='checkbox'><label for='data-07812753-f841-44ef-a4e0-fcb338dfebb4' title='Show/Hide data repr'><svg 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>solar zenith angle degree range where good quality clear sky mask data is produced</dd></dl></div><div class='xr-var-data'><pre>array([  0., 180.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>twilight_solar_zenith_angle_bounds</span></div><div class='xr-var-dims'>(number_of_SZA_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-221d155c-fc6b-4c70-88de-bb2598c5e374' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-221d155c-fc6b-4c70-88de-bb2598c5e374' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74d55762-ee35-49df-9143-e86a348c7144' class='xr-var-data-in' type='checkbox'><label for='data-74d55762-ee35-49df-9143-e86a348c7144' title='Show/Hide data repr'><svg 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>solar zenith angle degree range for the twilight region</dd></dl></div><div class='xr-var-data'><pre>array([87., 93.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_uncorrectable_GRB_errors</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b62395cb-688a-409a-9914-664e6151f014' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b62395cb-688a-409a-9914-664e6151f014' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b8dcb49-cca7-421c-afda-026a64a2f54e' class='xr-var-data-in' type='checkbox'><label for='data-6b8dcb49-cca7-421c-afda-026a64a2f54e' title='Show/Hide data repr'><svg 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>percent data lost due to uncorrectable GRB errors</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (uncorrectable GRB errors only)</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_uncorrectable_L0_errors</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-350d9138-8cb4-4609-b440-e88af3fe139a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-350d9138-8cb4-4609-b440-e88af3fe139a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8dcc035-c69d-49f9-a259-b96cbaf53e52' class='xr-var-data-in' type='checkbox'><label for='data-b8dcc035-c69d-49f9-a259-b96cbaf53e52' title='Show/Hide data repr'><svg 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>percent data lost due to uncorrectable L0 errors</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (uncorrectable L0 errors only)</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filename</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U108</div><div class='xr-var-preview xr-preview'>&#x27;noaa-goes17/ABI-L2-ACMF/2021/20...</div><input id='attrs-803b9de7-4e9f-4cd3-b8b6-1c80ee38b345' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-803b9de7-4e9f-4cd3-b8b6-1c80ee38b345' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d2e620c-3f44-4d2d-869f-819078dadcc0' class='xr-var-data-in' type='checkbox'><label for='data-3d2e620c-3f44-4d2d-869f-819078dadcc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;noaa-goes17/ABI-L2-ACMF/2021/200/21/OR_ABI-L2-ACMF-M6_G17_s20212002100321_e20212002109388_c20212002110059.nc&#x27;,\n",
       "      dtype=&#x27;&lt;U108&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f9935120-f1ec-4e0c-80a3-0126198bbab8' class='xr-section-summary-in' type='checkbox'  ><label for='section-f9935120-f1ec-4e0c-80a3-0126198bbab8' class='xr-section-summary' >Attributes: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>naming_authority :</span></dt><dd>gov.nesdis.noaa</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v35, 20 July 2016)</dd><dt><span>institution :</span></dt><dd>DOC/NOAA/NESDIS &gt; U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Services</dd><dt><span>project :</span></dt><dd>GOES</dd><dt><span>production_site :</span></dt><dd>NSOF</dd><dt><span>production_environment :</span></dt><dd>OE</dd><dt><span>spatial_resolution :</span></dt><dd>2km at nadir</dd><dt><span>orbital_slot :</span></dt><dd>GOES-West</dd><dt><span>platform_ID :</span></dt><dd>G17</dd><dt><span>instrument_type :</span></dt><dd>GOES R Series Advanced Baseline Imager</dd><dt><span>scene_id :</span></dt><dd>Full Disk</dd><dt><span>instrument_ID :</span></dt><dd>FM2</dd><dt><span>iso_series_metadata_id :</span></dt><dd>b015d6f0-b002-11e1-afa6-0800200c9a66</dd><dt><span>title :</span></dt><dd>ABI L2 Clear Sky Mask</dd><dt><span>summary :</span></dt><dd>The Clear Sky Mask product consists of a binary cloud mask identifying pixels as &#x27;clear or probably clear&#x27; or &#x27;cloudy or probably cloudy&#x27;. The binary cloud mask is generated through a series of cloud detection threshold tests that key on the spatial, spectral, and temporal characteristics associated with the cloud and clear-sky states. Product data is generated both day and night.</dd><dt><span>keywords :</span></dt><dd>ATMOSPHERE &gt; CLOUDS &gt; CLOUD AMOUNT/FREQUENCY</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Earth Science Keywords, Version 7.0.0.0.0</dd><dt><span>license :</span></dt><dd>Unclassified data.  Access is restricted to approved users only.</dd><dt><span>processing_level :</span></dt><dd>National Aeronautics and Space Administration (NASA) L2</dd><dt><span>cdm_data_type :</span></dt><dd>Image</dd><dt><span>timeline_id :</span></dt><dd>ABI Mode 6</dd><dt><span>production_data_source :</span></dt><dd>Realtime</dd><dt><span>id :</span></dt><dd>acaac04f-ab8f-4c4a-82c8-5129bac469d3</dd><dt><span>path :</span></dt><dd>[&#x27;noaa-goes17/ABI-L2-ACMF/2021/200/21/OR_ABI-L2-ACMF-M6_G17_s20212002100321_e20212002109388_c20212002110059.nc&#x27;]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                                                     (y: 5424,\n",
       "                                                                 x: 5424,\n",
       "                                                                 number_of_time_bounds: 2,\n",
       "                                                                 number_of_image_bounds: 2,\n",
       "                                                                 RTM_BT_comparison_bands: 2,\n",
       "                                                                 number_of_LZA_bounds: 2,\n",
       "                                                                 number_of_SZA_bounds: 2)\n",
       "Coordinates: (12/15)\n",
       "    t                                                           datetime64[ns] ...\n",
       "  * y                                                           (y) float32 0...\n",
       "  * x                                                           (x) float32 -...\n",
       "    y_image                                                     float32 ...\n",
       "    x_image                                                     float32 ...\n",
       "    retrieval_local_zenith_angle                                float32 ...\n",
       "    ...                                                          ...\n",
       "    RTM_BT_comparison_wavelengths                               (RTM_BT_comparison_bands) float32 ...\n",
       "    RTM_BT_comparison_band_ids                                  (RTM_BT_comparison_bands) int8 ...\n",
       "    dataset_name                                                <U72 'OR_ABI-...\n",
       "    date_created                                                <U22 '2021-07...\n",
       "    time_coverage_start                                         <U22 '2021-07...\n",
       "    time_coverage_end                                           <U22 '2021-07...\n",
       "Dimensions without coordinates: number_of_time_bounds, number_of_image_bounds,\n",
       "                                RTM_BT_comparison_bands, number_of_LZA_bounds,\n",
       "                                number_of_SZA_bounds\n",
       "Data variables: (12/38)\n",
       "    BCM                                                         (y, x) float32 ...\n",
       "    DQF                                                         (y, x) float32 ...\n",
       "    time_bounds                                                 (number_of_time_bounds) datetime64[ns] ...\n",
       "    goes_imager_projection                                      int32 ...\n",
       "    y_image_bounds                                              (number_of_image_bounds) float32 ...\n",
       "    x_image_bounds                                              (number_of_image_bounds) float32 ...\n",
       "    ...                                                          ...\n",
       "    quantitative_local_zenith_angle_bounds                      (number_of_LZA_bounds) float32 ...\n",
       "    retrieval_solar_zenith_angle_bounds                         (number_of_SZA_bounds) float32 ...\n",
       "    twilight_solar_zenith_angle_bounds                          (number_of_SZA_bounds) float32 ...\n",
       "    percent_uncorrectable_GRB_errors                            float32 ...\n",
       "    percent_uncorrectable_L0_errors                             float32 ...\n",
       "    filename                                                    <U108 'noaa-g...\n",
       "Attributes: (12/26)\n",
       "    naming_authority:          gov.nesdis.noaa\n",
       "    Conventions:               CF-1.7\n",
       "    Metadata_Conventions:      Unidata Dataset Discovery v1.0\n",
       "    standard_name_vocabulary:  CF Standard Name Table (v35, 20 July 2016)\n",
       "    institution:               DOC/NOAA/NESDIS > U.S. Department of Commerce,...\n",
       "    project:                   GOES\n",
       "    ...                        ...\n",
       "    processing_level:          National Aeronautics and Space Administration ...\n",
       "    cdm_data_type:             Image\n",
       "    timeline_id:               ABI Mode 6\n",
       "    production_data_source:    Realtime\n",
       "    id:                        acaac04f-ab8f-4c4a-82c8-5129bac469d3\n",
       "    path:                      ['noaa-goes17/ABI-L2-ACMF/2021/200/21/OR_ABI-L..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = goes_nearesttime(\n",
    "    attime=\"2021-07-19 21:00:00\",\n",
    "    satellite=17,\n",
    "    product=\"ABI-L2-ACMF\",\n",
    ")\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "╭──────────────────────────\n",
       "│ 🌎 GOES Object   \n",
       "│ ───────────────\n",
       "│  self.satellite='noaa-goes16'\n",
       "│  self.product='ABI-L2-CODC'\n",
       "│  self.domain='C'\n",
       "│  self.bands=None\n",
       "│  self.description='Advanced Baseline Imager Level 2 Cloud Optical Depth CONUS'\n",
       "╰──────────────────────────"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G = GOES(16, \"ABI-L2-COD\", domain=\"C\")\n",
    "G"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>file</th>\n",
       "      <th>product_mode</th>\n",
       "      <th>satellite</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>creation</th>\n",
       "      <th>product</th>\n",
       "      <th>mode_bands</th>\n",
       "      <th>mode</th>\n",
       "      <th>band</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>noaa-goes16/ABI-L2-CODC/2021/001/00/OR_ABI-L2-...</td>\n",
       "      <td>ABI-L2-CODC-M6</td>\n",
       "      <td>G16</td>\n",
       "      <td>2021-01-01 00:01:17.600</td>\n",
       "      <td>2021-01-01 00:03:54.900</td>\n",
       "      <td>2021-01-01 00:05:39.200</td>\n",
       "      <td>ABI-L2-CODC</td>\n",
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       "      <th>1</th>\n",
       "      <td>noaa-goes16/ABI-L2-CODC/2021/001/00/OR_ABI-L2-...</td>\n",
       "      <td>ABI-L2-CODC-M6</td>\n",
       "      <td>G16</td>\n",
       "      <td>2021-01-01 00:06:17.600</td>\n",
       "      <td>2021-01-01 00:08:54.900</td>\n",
       "      <td>2021-01-01 00:10:22.100</td>\n",
       "      <td>ABI-L2-CODC</td>\n",
       "      <td>M6</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>noaa-goes16/ABI-L2-CODC/2021/001/00/OR_ABI-L2-...</td>\n",
       "      <td>ABI-L2-CODC-M6</td>\n",
       "      <td>G16</td>\n",
       "      <td>2021-01-01 00:11:17.600</td>\n",
       "      <td>2021-01-01 00:13:54.900</td>\n",
       "      <td>2021-01-01 00:15:45.100</td>\n",
       "      <td>ABI-L2-CODC</td>\n",
       "      <td>M6</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>noaa-goes16/ABI-L2-CODC/2021/001/00/OR_ABI-L2-...</td>\n",
       "      <td>ABI-L2-CODC-M6</td>\n",
       "      <td>G16</td>\n",
       "      <td>2021-01-01 00:16:17.600</td>\n",
       "      <td>2021-01-01 00:18:54.900</td>\n",
       "      <td>2021-01-01 00:21:07.400</td>\n",
       "      <td>ABI-L2-CODC</td>\n",
       "      <td>M6</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>noaa-goes16/ABI-L2-CODC/2021/001/00/OR_ABI-L2-...</td>\n",
       "      <td>ABI-L2-CODC-M6</td>\n",
       "      <td>G16</td>\n",
       "      <td>2021-01-01 00:21:17.600</td>\n",
       "      <td>2021-01-01 00:23:54.900</td>\n",
       "      <td>2021-01-01 00:25:31.000</td>\n",
       "      <td>ABI-L2-CODC</td>\n",
       "      <td>M6</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8860</th>\n",
       "      <td>noaa-goes16/ABI-L2-CODC/2021/031/23/OR_ABI-L2-...</td>\n",
       "      <td>ABI-L2-CODC-M6</td>\n",
       "      <td>G16</td>\n",
       "      <td>2021-01-31 23:36:12.000</td>\n",
       "      <td>2021-01-31 23:38:49.300</td>\n",
       "      <td>2021-01-31 23:40:33.900</td>\n",
       "      <td>ABI-L2-CODC</td>\n",
       "      <td>M6</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8861</th>\n",
       "      <td>noaa-goes16/ABI-L2-CODC/2021/031/23/OR_ABI-L2-...</td>\n",
       "      <td>ABI-L2-CODC-M6</td>\n",
       "      <td>G16</td>\n",
       "      <td>2021-01-31 23:41:12.000</td>\n",
       "      <td>2021-01-31 23:43:49.300</td>\n",
       "      <td>2021-01-31 23:45:41.900</td>\n",
       "      <td>ABI-L2-CODC</td>\n",
       "      <td>M6</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8862</th>\n",
       "      <td>noaa-goes16/ABI-L2-CODC/2021/031/23/OR_ABI-L2-...</td>\n",
       "      <td>ABI-L2-CODC-M6</td>\n",
       "      <td>G16</td>\n",
       "      <td>2021-01-31 23:46:12.000</td>\n",
       "      <td>2021-01-31 23:48:49.300</td>\n",
       "      <td>2021-01-31 23:51:10.900</td>\n",
       "      <td>ABI-L2-CODC</td>\n",
       "      <td>M6</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8863</th>\n",
       "      <td>noaa-goes16/ABI-L2-CODC/2021/031/23/OR_ABI-L2-...</td>\n",
       "      <td>ABI-L2-CODC-M6</td>\n",
       "      <td>G16</td>\n",
       "      <td>2021-01-31 23:51:12.000</td>\n",
       "      <td>2021-01-31 23:53:49.300</td>\n",
       "      <td>2021-01-31 23:55:40.800</td>\n",
       "      <td>ABI-L2-CODC</td>\n",
       "      <td>M6</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8864</th>\n",
       "      <td>noaa-goes16/ABI-L2-CODC/2021/031/23/OR_ABI-L2-...</td>\n",
       "      <td>ABI-L2-CODC-M6</td>\n",
       "      <td>G16</td>\n",
       "      <td>2021-01-31 23:56:12.000</td>\n",
       "      <td>2021-01-31 23:58:49.300</td>\n",
       "      <td>2021-02-01 00:00:51.100</td>\n",
       "      <td>ABI-L2-CODC</td>\n",
       "      <td>M6</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8865 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   file    product_mode  \\\n",
       "0     noaa-goes16/ABI-L2-CODC/2021/001/00/OR_ABI-L2-...  ABI-L2-CODC-M6   \n",
       "1     noaa-goes16/ABI-L2-CODC/2021/001/00/OR_ABI-L2-...  ABI-L2-CODC-M6   \n",
       "2     noaa-goes16/ABI-L2-CODC/2021/001/00/OR_ABI-L2-...  ABI-L2-CODC-M6   \n",
       "3     noaa-goes16/ABI-L2-CODC/2021/001/00/OR_ABI-L2-...  ABI-L2-CODC-M6   \n",
       "4     noaa-goes16/ABI-L2-CODC/2021/001/00/OR_ABI-L2-...  ABI-L2-CODC-M6   \n",
       "...                                                 ...             ...   \n",
       "8860  noaa-goes16/ABI-L2-CODC/2021/031/23/OR_ABI-L2-...  ABI-L2-CODC-M6   \n",
       "8861  noaa-goes16/ABI-L2-CODC/2021/031/23/OR_ABI-L2-...  ABI-L2-CODC-M6   \n",
       "8862  noaa-goes16/ABI-L2-CODC/2021/031/23/OR_ABI-L2-...  ABI-L2-CODC-M6   \n",
       "8863  noaa-goes16/ABI-L2-CODC/2021/031/23/OR_ABI-L2-...  ABI-L2-CODC-M6   \n",
       "8864  noaa-goes16/ABI-L2-CODC/2021/031/23/OR_ABI-L2-...  ABI-L2-CODC-M6   \n",
       "\n",
       "     satellite                   start                     end  \\\n",
       "0          G16 2021-01-01 00:01:17.600 2021-01-01 00:03:54.900   \n",
       "1          G16 2021-01-01 00:06:17.600 2021-01-01 00:08:54.900   \n",
       "2          G16 2021-01-01 00:11:17.600 2021-01-01 00:13:54.900   \n",
       "3          G16 2021-01-01 00:16:17.600 2021-01-01 00:18:54.900   \n",
       "4          G16 2021-01-01 00:21:17.600 2021-01-01 00:23:54.900   \n",
       "...        ...                     ...                     ...   \n",
       "8860       G16 2021-01-31 23:36:12.000 2021-01-31 23:38:49.300   \n",
       "8861       G16 2021-01-31 23:41:12.000 2021-01-31 23:43:49.300   \n",
       "8862       G16 2021-01-31 23:46:12.000 2021-01-31 23:48:49.300   \n",
       "8863       G16 2021-01-31 23:51:12.000 2021-01-31 23:53:49.300   \n",
       "8864       G16 2021-01-31 23:56:12.000 2021-01-31 23:58:49.300   \n",
       "\n",
       "                    creation      product mode_bands  mode  band  \n",
       "0    2021-01-01 00:05:39.200  ABI-L2-CODC         M6     6  None  \n",
       "1    2021-01-01 00:10:22.100  ABI-L2-CODC         M6     6  None  \n",
       "2    2021-01-01 00:15:45.100  ABI-L2-CODC         M6     6  None  \n",
       "3    2021-01-01 00:21:07.400  ABI-L2-CODC         M6     6  None  \n",
       "4    2021-01-01 00:25:31.000  ABI-L2-CODC         M6     6  None  \n",
       "...                      ...          ...        ...   ...   ...  \n",
       "8860 2021-01-31 23:40:33.900  ABI-L2-CODC         M6     6  None  \n",
       "8861 2021-01-31 23:45:41.900  ABI-L2-CODC         M6     6  None  \n",
       "8862 2021-01-31 23:51:10.900  ABI-L2-CODC         M6     6  None  \n",
       "8863 2021-01-31 23:55:40.800  ABI-L2-CODC         M6     6  None  \n",
       "8864 2021-02-01 00:00:51.100  ABI-L2-CODC         M6     6  None  \n",
       "\n",
       "[8865 rows x 10 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = G.timerange(\"2021-01-01\", \"2021-02-01\", download=False)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "import s3fs\n",
    "\n",
    "fs = s3fs.S3FileSystem(anon=True)\n",
    "aws_url = f\"s3://{df.iloc[0].file}\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "ename": "OSError",
     "evalue": "[Errno 22] Unable to open file (unable to open file: name = 's3://noaa-goes16/ABI-L2-CODC/2021/001/00/OR_ABI-L2-CODC-M6_G16_s20210010001176_e20210010003549_c20210010005392.nc', errno = 22, error message = 'Invalid argument', flags = 0, o_flags = 0)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\file_manager.py:199\u001b[0m, in \u001b[0;36mCachingFileManager._acquire_with_cache_info\u001b[1;34m(self, needs_lock)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=197'>198</a>\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=198'>199</a>\u001b[0m     file \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_cache[\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_key]\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=199'>200</a>\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m:\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\lru_cache.py:53\u001b[0m, in \u001b[0;36mLRUCache.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/lru_cache.py?line=51'>52</a>\u001b[0m \u001b[39mwith\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_lock:\n\u001b[1;32m---> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/lru_cache.py?line=52'>53</a>\u001b[0m     value \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_cache[key]\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/lru_cache.py?line=53'>54</a>\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_cache\u001b[39m.\u001b[39mmove_to_end(key)\n",
      "\u001b[1;31mKeyError\u001b[0m: [<class 'h5netcdf.core.File'>, ('s3://noaa-goes16/ABI-L2-CODC/2021/001/00/OR_ABI-L2-CODC-M6_G16_s20210010001176_e20210010003549_c20210010005392.nc',), 'r', (('decode_vlen_strings', True), ('invalid_netcdf', None))]",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mOSError\u001b[0m                                   Traceback (most recent call last)",
      "\u001b[1;32mc:\\Users\\blayl_depgywe\\BB_python\\goes2go\\goes2go\\working_on_new_GOES_class.ipynb Cell 14'\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/Users/blayl_depgywe/BB_python/goes2go/goes2go/working_on_new_GOES_class.ipynb#ch0000018?line=0'>1</a>\u001b[0m xr\u001b[39m.\u001b[39;49mopen_dataset(aws_url, engine\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mh5netcdf\u001b[39;49m\u001b[39m'\u001b[39;49m)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\api.py:495\u001b[0m, in \u001b[0;36mopen_dataset\u001b[1;34m(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, backend_kwargs, *args, **kwargs)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=482'>483</a>\u001b[0m decoders \u001b[39m=\u001b[39m _resolve_decoders_kwargs(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=483'>484</a>\u001b[0m     decode_cf,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=484'>485</a>\u001b[0m     open_backend_dataset_parameters\u001b[39m=\u001b[39mbackend\u001b[39m.\u001b[39mopen_dataset_parameters,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=490'>491</a>\u001b[0m     decode_coords\u001b[39m=\u001b[39mdecode_coords,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=491'>492</a>\u001b[0m )\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=493'>494</a>\u001b[0m overwrite_encoded_chunks \u001b[39m=\u001b[39m kwargs\u001b[39m.\u001b[39mpop(\u001b[39m\"\u001b[39m\u001b[39moverwrite_encoded_chunks\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mNone\u001b[39;00m)\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=494'>495</a>\u001b[0m backend_ds \u001b[39m=\u001b[39m backend\u001b[39m.\u001b[39mopen_dataset(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=495'>496</a>\u001b[0m     filename_or_obj,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=496'>497</a>\u001b[0m     drop_variables\u001b[39m=\u001b[39mdrop_variables,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=497'>498</a>\u001b[0m     \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mdecoders,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=498'>499</a>\u001b[0m     \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=499'>500</a>\u001b[0m )\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=500'>501</a>\u001b[0m ds \u001b[39m=\u001b[39m _dataset_from_backend_dataset(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=501'>502</a>\u001b[0m     backend_ds,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=502'>503</a>\u001b[0m     filename_or_obj,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=509'>510</a>\u001b[0m     \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=510'>511</a>\u001b[0m )\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=511'>512</a>\u001b[0m \u001b[39mreturn\u001b[39;00m ds\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\h5netcdf_.py:387\u001b[0m, in \u001b[0;36mH5netcdfBackendEntrypoint.open_dataset\u001b[1;34m(self, filename_or_obj, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, use_cftime, decode_timedelta, format, group, lock, invalid_netcdf, phony_dims, decode_vlen_strings)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=366'>367</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mopen_dataset\u001b[39m(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=367'>368</a>\u001b[0m     \u001b[39mself\u001b[39m,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=368'>369</a>\u001b[0m     filename_or_obj,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=382'>383</a>\u001b[0m     decode_vlen_strings\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=383'>384</a>\u001b[0m ):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=385'>386</a>\u001b[0m     filename_or_obj \u001b[39m=\u001b[39m _normalize_path(filename_or_obj)\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=386'>387</a>\u001b[0m     store \u001b[39m=\u001b[39m H5NetCDFStore\u001b[39m.\u001b[39;49mopen(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=387'>388</a>\u001b[0m         filename_or_obj,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=388'>389</a>\u001b[0m         \u001b[39mformat\u001b[39;49m\u001b[39m=\u001b[39;49m\u001b[39mformat\u001b[39;49m,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=389'>390</a>\u001b[0m         group\u001b[39m=\u001b[39;49mgroup,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=390'>391</a>\u001b[0m         lock\u001b[39m=\u001b[39;49mlock,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=391'>392</a>\u001b[0m         invalid_netcdf\u001b[39m=\u001b[39;49minvalid_netcdf,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=392'>393</a>\u001b[0m         phony_dims\u001b[39m=\u001b[39;49mphony_dims,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=393'>394</a>\u001b[0m         decode_vlen_strings\u001b[39m=\u001b[39;49mdecode_vlen_strings,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=394'>395</a>\u001b[0m     )\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=396'>397</a>\u001b[0m     store_entrypoint \u001b[39m=\u001b[39m StoreBackendEntrypoint()\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=398'>399</a>\u001b[0m     ds \u001b[39m=\u001b[39m store_entrypoint\u001b[39m.\u001b[39mopen_dataset(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=399'>400</a>\u001b[0m         store,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=400'>401</a>\u001b[0m         mask_and_scale\u001b[39m=\u001b[39mmask_and_scale,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=406'>407</a>\u001b[0m         decode_timedelta\u001b[39m=\u001b[39mdecode_timedelta,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=407'>408</a>\u001b[0m     )\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\h5netcdf_.py:179\u001b[0m, in \u001b[0;36mH5NetCDFStore.open\u001b[1;34m(cls, filename, mode, format, group, lock, autoclose, invalid_netcdf, phony_dims, decode_vlen_strings)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=175'>176</a>\u001b[0m         lock \u001b[39m=\u001b[39m combine_locks([HDF5_LOCK, get_write_lock(filename)])\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=177'>178</a>\u001b[0m manager \u001b[39m=\u001b[39m CachingFileManager(h5netcdf\u001b[39m.\u001b[39mFile, filename, mode\u001b[39m=\u001b[39mmode, kwargs\u001b[39m=\u001b[39mkwargs)\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=178'>179</a>\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mcls\u001b[39;49m(manager, group\u001b[39m=\u001b[39;49mgroup, mode\u001b[39m=\u001b[39;49mmode, lock\u001b[39m=\u001b[39;49mlock, autoclose\u001b[39m=\u001b[39;49mautoclose)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\h5netcdf_.py:130\u001b[0m, in \u001b[0;36mH5NetCDFStore.__init__\u001b[1;34m(self, manager, group, mode, lock, autoclose)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=126'>127</a>\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mformat \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=127'>128</a>\u001b[0m \u001b[39m# todo: utilizing find_root_and_group seems a bit clunky\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=128'>129</a>\u001b[0m \u001b[39m#  making filename available on h5netcdf.Group seems better\u001b[39;00m\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=129'>130</a>\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_filename \u001b[39m=\u001b[39m find_root_and_group(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mds)[\u001b[39m0\u001b[39m]\u001b[39m.\u001b[39mfilename\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=130'>131</a>\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mis_remote \u001b[39m=\u001b[39m is_remote_uri(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_filename)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=131'>132</a>\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mlock \u001b[39m=\u001b[39m ensure_lock(lock)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\h5netcdf_.py:190\u001b[0m, in \u001b[0;36mH5NetCDFStore.ds\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=187'>188</a>\u001b[0m \u001b[39m@property\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=188'>189</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mds\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=189'>190</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_acquire()\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\h5netcdf_.py:182\u001b[0m, in \u001b[0;36mH5NetCDFStore._acquire\u001b[1;34m(self, needs_lock)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=180'>181</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_acquire\u001b[39m(\u001b[39mself\u001b[39m, needs_lock\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m):\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=181'>182</a>\u001b[0m     \u001b[39mwith\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_manager\u001b[39m.\u001b[39macquire_context(needs_lock) \u001b[39mas\u001b[39;00m root:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=182'>183</a>\u001b[0m         ds \u001b[39m=\u001b[39m _nc4_require_group(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=183'>184</a>\u001b[0m             root, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_group, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_mode, create_group\u001b[39m=\u001b[39m_h5netcdf_create_group\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=184'>185</a>\u001b[0m         )\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=185'>186</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m ds\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\contextlib.py:119\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__enter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/contextlib.py?line=116'>117</a>\u001b[0m \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39margs, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mkwds, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfunc\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/contextlib.py?line=117'>118</a>\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/contextlib.py?line=118'>119</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mnext\u001b[39;49m(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mgen)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/contextlib.py?line=119'>120</a>\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mStopIteration\u001b[39;00m:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/contextlib.py?line=120'>121</a>\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mRuntimeError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39mgenerator didn\u001b[39m\u001b[39m'\u001b[39m\u001b[39mt yield\u001b[39m\u001b[39m\"\u001b[39m) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39m\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\file_manager.py:187\u001b[0m, in \u001b[0;36mCachingFileManager.acquire_context\u001b[1;34m(self, needs_lock)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=183'>184</a>\u001b[0m \u001b[39m@contextlib\u001b[39m\u001b[39m.\u001b[39mcontextmanager\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=184'>185</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39macquire_context\u001b[39m(\u001b[39mself\u001b[39m, needs_lock\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=185'>186</a>\u001b[0m     \u001b[39m\"\"\"Context manager for acquiring a file.\"\"\"\u001b[39;00m\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=186'>187</a>\u001b[0m     file, cached \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_acquire_with_cache_info(needs_lock)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=187'>188</a>\u001b[0m     \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=188'>189</a>\u001b[0m         \u001b[39myield\u001b[39;00m file\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\file_manager.py:205\u001b[0m, in \u001b[0;36mCachingFileManager._acquire_with_cache_info\u001b[1;34m(self, needs_lock)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=202'>203</a>\u001b[0m     kwargs \u001b[39m=\u001b[39m kwargs\u001b[39m.\u001b[39mcopy()\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=203'>204</a>\u001b[0m     kwargs[\u001b[39m\"\u001b[39m\u001b[39mmode\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_mode\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=204'>205</a>\u001b[0m file \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_opener(\u001b[39m*\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_args, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=205'>206</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_mode \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mw\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=206'>207</a>\u001b[0m     \u001b[39m# ensure file doesn't get overridden when opened again\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/file_manager.py?line=207'>208</a>\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_mode \u001b[39m=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39ma\u001b[39m\u001b[39m\"\u001b[39m\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\h5netcdf\\core.py:968\u001b[0m, in \u001b[0;36mFile.__init__\u001b[1;34m(self, path, mode, invalid_netcdf, phony_dims, **kwargs)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=965'>966</a>\u001b[0m         \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_preexisting_file \u001b[39m=\u001b[39m os\u001b[39m.\u001b[39mpath\u001b[39m.\u001b[39mexists(path) \u001b[39mand\u001b[39;00m mode \u001b[39m!=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mw\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=966'>967</a>\u001b[0m         \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_h5py \u001b[39m=\u001b[39m h5py\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=967'>968</a>\u001b[0m         \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_h5file \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_h5py\u001b[39m.\u001b[39mFile(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=968'>969</a>\u001b[0m             path, mode, track_order\u001b[39m=\u001b[39mtrack_order, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=969'>970</a>\u001b[0m         )\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=970'>971</a>\u001b[0m \u001b[39melse\u001b[39;00m:  \u001b[39m# file-like object\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=971'>972</a>\u001b[0m     \u001b[39mif\u001b[39;00m version\u001b[39m.\u001b[39mparse(h5py\u001b[39m.\u001b[39m__version__) \u001b[39m<\u001b[39m version\u001b[39m.\u001b[39mparse(\u001b[39m\"\u001b[39m\u001b[39m2.9.0\u001b[39m\u001b[39m\"\u001b[39m):\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\h5py\\_hl\\files.py:507\u001b[0m, in \u001b[0;36mFile.__init__\u001b[1;34m(self, name, mode, driver, libver, userblock_size, swmr, rdcc_nslots, rdcc_nbytes, rdcc_w0, track_order, fs_strategy, fs_persist, fs_threshold, fs_page_size, page_buf_size, min_meta_keep, min_raw_keep, locking, **kwds)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/files.py?line=501'>502</a>\u001b[0m     fapl \u001b[39m=\u001b[39m make_fapl(driver, libver, rdcc_nslots, rdcc_nbytes, rdcc_w0,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/files.py?line=502'>503</a>\u001b[0m                      locking, page_buf_size, min_meta_keep, min_raw_keep, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwds)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/files.py?line=503'>504</a>\u001b[0m     fcpl \u001b[39m=\u001b[39m make_fcpl(track_order\u001b[39m=\u001b[39mtrack_order, fs_strategy\u001b[39m=\u001b[39mfs_strategy,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/files.py?line=504'>505</a>\u001b[0m                      fs_persist\u001b[39m=\u001b[39mfs_persist, fs_threshold\u001b[39m=\u001b[39mfs_threshold,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/files.py?line=505'>506</a>\u001b[0m                      fs_page_size\u001b[39m=\u001b[39mfs_page_size)\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/files.py?line=506'>507</a>\u001b[0m     fid \u001b[39m=\u001b[39m make_fid(name, mode, userblock_size, fapl, fcpl, swmr\u001b[39m=\u001b[39;49mswmr)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/files.py?line=508'>509</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(libver, \u001b[39mtuple\u001b[39m):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/files.py?line=509'>510</a>\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_libver \u001b[39m=\u001b[39m libver\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\h5py\\_hl\\files.py:220\u001b[0m, in \u001b[0;36mmake_fid\u001b[1;34m(name, mode, userblock_size, fapl, fcpl, swmr)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/files.py?line=217'>218</a>\u001b[0m     \u001b[39mif\u001b[39;00m swmr \u001b[39mand\u001b[39;00m swmr_support:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/files.py?line=218'>219</a>\u001b[0m         flags \u001b[39m|\u001b[39m\u001b[39m=\u001b[39m h5f\u001b[39m.\u001b[39mACC_SWMR_READ\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/files.py?line=219'>220</a>\u001b[0m     fid \u001b[39m=\u001b[39m h5f\u001b[39m.\u001b[39;49mopen(name, flags, fapl\u001b[39m=\u001b[39;49mfapl)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/files.py?line=220'>221</a>\u001b[0m \u001b[39melif\u001b[39;00m mode \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mr+\u001b[39m\u001b[39m'\u001b[39m:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/files.py?line=221'>222</a>\u001b[0m     fid \u001b[39m=\u001b[39m h5f\u001b[39m.\u001b[39mopen(name, h5f\u001b[39m.\u001b[39mACC_RDWR, fapl\u001b[39m=\u001b[39mfapl)\n",
      "File \u001b[1;32mh5py\\_objects.pyx:54\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mh5py\\_objects.pyx:55\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mh5py\\h5f.pyx:106\u001b[0m, in \u001b[0;36mh5py.h5f.open\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mOSError\u001b[0m: [Errno 22] Unable to open file (unable to open file: name = 's3://noaa-goes16/ABI-L2-CODC/2021/001/00/OR_ABI-L2-CODC-M6_G16_s20210010001176_e20210010003549_c20210010005392.nc', errno = 22, error message = 'Invalid argument', flags = 0, o_flags = 0)"
     ]
    }
   ],
   "source": [
    "xr.open_dataset(aws_url, engine=\"h5netcdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "with fs.open(aws_url) as fileObj:\n",
    "    ds = xr.open_dataset(fileObj, engine=\"h5netcdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "I/O operation on closed file.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\IPython\\core\\formatters.py:343\u001b[0m, in \u001b[0;36mBaseFormatter.__call__\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/IPython/core/formatters.py?line=340'>341</a>\u001b[0m     method \u001b[39m=\u001b[39m get_real_method(obj, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprint_method)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/IPython/core/formatters.py?line=341'>342</a>\u001b[0m     \u001b[39mif\u001b[39;00m method \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/IPython/core/formatters.py?line=342'>343</a>\u001b[0m         \u001b[39mreturn\u001b[39;00m method()\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/IPython/core/formatters.py?line=343'>344</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/IPython/core/formatters.py?line=344'>345</a>\u001b[0m \u001b[39melse\u001b[39;00m:\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\dataset.py:2058\u001b[0m, in \u001b[0;36mDataset._repr_html_\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/dataset.py?line=2055'>2056</a>\u001b[0m \u001b[39mif\u001b[39;00m OPTIONS[\u001b[39m\"\u001b[39m\u001b[39mdisplay_style\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mtext\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/dataset.py?line=2056'>2057</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m<pre>\u001b[39m\u001b[39m{\u001b[39;00mescape(\u001b[39mrepr\u001b[39m(\u001b[39mself\u001b[39m))\u001b[39m}\u001b[39;00m\u001b[39m</pre>\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m-> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/dataset.py?line=2057'>2058</a>\u001b[0m \u001b[39mreturn\u001b[39;00m formatting_html\u001b[39m.\u001b[39;49mdataset_repr(\u001b[39mself\u001b[39;49m)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting_html.py:296\u001b[0m, in \u001b[0;36mdataset_repr\u001b[1;34m(ds)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=289'>290</a>\u001b[0m obj_type \u001b[39m=\u001b[39m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mxarray.\u001b[39m\u001b[39m{\u001b[39;00m\u001b[39mtype\u001b[39m(ds)\u001b[39m.\u001b[39m\u001b[39m__name__\u001b[39m\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=291'>292</a>\u001b[0m header_components \u001b[39m=\u001b[39m [\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m<div class=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mxr-obj-type\u001b[39m\u001b[39m'\u001b[39m\u001b[39m>\u001b[39m\u001b[39m{\u001b[39;00mescape(obj_type)\u001b[39m}\u001b[39;00m\u001b[39m</div>\u001b[39m\u001b[39m\"\u001b[39m]\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=293'>294</a>\u001b[0m sections \u001b[39m=\u001b[39m [\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=294'>295</a>\u001b[0m     dim_section(ds),\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=295'>296</a>\u001b[0m     coord_section(ds\u001b[39m.\u001b[39;49mcoords),\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=296'>297</a>\u001b[0m     datavar_section(ds\u001b[39m.\u001b[39mdata_vars),\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=297'>298</a>\u001b[0m     attr_section(ds\u001b[39m.\u001b[39mattrs),\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=298'>299</a>\u001b[0m ]\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=300'>301</a>\u001b[0m \u001b[39mreturn\u001b[39;00m _obj_repr(ds, header_components, sections)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting_html.py:179\u001b[0m, in \u001b[0;36m_mapping_section\u001b[1;34m(mapping, name, details_func, max_items_collapse, expand_option_name, enabled)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=171'>172</a>\u001b[0m expanded \u001b[39m=\u001b[39m _get_boolean_with_default(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=172'>173</a>\u001b[0m     expand_option_name, n_items \u001b[39m<\u001b[39m max_items_collapse\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=173'>174</a>\u001b[0m )\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=174'>175</a>\u001b[0m collapsed \u001b[39m=\u001b[39m \u001b[39mnot\u001b[39;00m expanded\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=176'>177</a>\u001b[0m \u001b[39mreturn\u001b[39;00m collapsible_section(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=177'>178</a>\u001b[0m     name,\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=178'>179</a>\u001b[0m     details\u001b[39m=\u001b[39mdetails_func(mapping),\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=179'>180</a>\u001b[0m     n_items\u001b[39m=\u001b[39mn_items,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=180'>181</a>\u001b[0m     enabled\u001b[39m=\u001b[39menabled,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=181'>182</a>\u001b[0m     collapsed\u001b[39m=\u001b[39mcollapsed,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=182'>183</a>\u001b[0m )\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting_html.py:93\u001b[0m, in \u001b[0;36msummarize_coords\u001b[1;34m(variables)\u001b[0m\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=90'>91</a>\u001b[0m coords \u001b[39m=\u001b[39m {}\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=91'>92</a>\u001b[0m \u001b[39mfor\u001b[39;00m k, v \u001b[39min\u001b[39;00m variables\u001b[39m.\u001b[39mitems():\n\u001b[1;32m---> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=92'>93</a>\u001b[0m     coords\u001b[39m.\u001b[39mupdate(\u001b[39m*\u001b[39m\u001b[39m*\u001b[39msummarize_coord(k, v))\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=94'>95</a>\u001b[0m vars_li \u001b[39m=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m.\u001b[39mjoin(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m<li class=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mxr-var-item\u001b[39m\u001b[39m'\u001b[39m\u001b[39m>\u001b[39m\u001b[39m{\u001b[39;00mv\u001b[39m}\u001b[39;00m\u001b[39m</li>\u001b[39m\u001b[39m\"\u001b[39m \u001b[39mfor\u001b[39;00m v \u001b[39min\u001b[39;00m coords\u001b[39m.\u001b[39mvalues())\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=96'>97</a>\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m<ul class=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mxr-var-list\u001b[39m\u001b[39m'\u001b[39m\u001b[39m>\u001b[39m\u001b[39m{\u001b[39;00mvars_li\u001b[39m}\u001b[39;00m\u001b[39m</ul>\u001b[39m\u001b[39m\"\u001b[39m\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting_html.py:87\u001b[0m, in \u001b[0;36msummarize_coord\u001b[1;34m(name, var)\u001b[0m\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=83'>84</a>\u001b[0m             coords[lname] \u001b[39m=\u001b[39m summarize_variable(lname, var)\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=84'>85</a>\u001b[0m         \u001b[39mreturn\u001b[39;00m coords\n\u001b[1;32m---> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=86'>87</a>\u001b[0m \u001b[39mreturn\u001b[39;00m {name: summarize_variable(name, var, is_index)}\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting_html.py:115\u001b[0m, in \u001b[0;36msummarize_variable\u001b[1;34m(name, var, is_index, dtype, preview)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=112'>113</a>\u001b[0m preview \u001b[39m=\u001b[39m preview \u001b[39mor\u001b[39;00m escape(inline_variable_array_repr(variable, \u001b[39m35\u001b[39m))\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=113'>114</a>\u001b[0m attrs_ul \u001b[39m=\u001b[39m summarize_attrs(var\u001b[39m.\u001b[39mattrs)\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=114'>115</a>\u001b[0m data_repr \u001b[39m=\u001b[39m short_data_repr_html(variable)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=116'>117</a>\u001b[0m attrs_icon \u001b[39m=\u001b[39m _icon(\u001b[39m\"\u001b[39m\u001b[39micon-file-text2\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=117'>118</a>\u001b[0m data_icon \u001b[39m=\u001b[39m _icon(\u001b[39m\"\u001b[39m\u001b[39micon-database\u001b[39m\u001b[39m\"\u001b[39m)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting_html.py:30\u001b[0m, in \u001b[0;36mshort_data_repr_html\u001b[1;34m(array)\u001b[0m\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=27'>28</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mhasattr\u001b[39m(internal_data, \u001b[39m\"\u001b[39m\u001b[39m_repr_html_\u001b[39m\u001b[39m\"\u001b[39m):\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=28'>29</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m internal_data\u001b[39m.\u001b[39m_repr_html_()\n\u001b[1;32m---> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=29'>30</a>\u001b[0m text \u001b[39m=\u001b[39m escape(short_data_repr(array))\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=30'>31</a>\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m<pre>\u001b[39m\u001b[39m{\u001b[39;00mtext\u001b[39m}\u001b[39;00m\u001b[39m</pre>\u001b[39m\u001b[39m\"\u001b[39m\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting.py:572\u001b[0m, in \u001b[0;36mshort_data_repr\u001b[1;34m(array)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=569'>570</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m limit_lines(\u001b[39mrepr\u001b[39m(array\u001b[39m.\u001b[39mdata), limit\u001b[39m=\u001b[39m\u001b[39m40\u001b[39m)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=570'>571</a>\u001b[0m \u001b[39melif\u001b[39;00m array\u001b[39m.\u001b[39m_in_memory \u001b[39mor\u001b[39;00m array\u001b[39m.\u001b[39msize \u001b[39m<\u001b[39m \u001b[39m1e5\u001b[39m:\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=571'>572</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m short_numpy_repr(array)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=572'>573</a>\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=573'>574</a>\u001b[0m     \u001b[39m# internal xarray array type\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=574'>575</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m[\u001b[39m\u001b[39m{\u001b[39;00marray\u001b[39m.\u001b[39msize\u001b[39m}\u001b[39;00m\u001b[39m values with dtype=\u001b[39m\u001b[39m{\u001b[39;00marray\u001b[39m.\u001b[39mdtype\u001b[39m}\u001b[39;00m\u001b[39m]\u001b[39m\u001b[39m\"\u001b[39m\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting.py:548\u001b[0m, in \u001b[0;36mshort_numpy_repr\u001b[1;34m(array)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=546'>547</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mshort_numpy_repr\u001b[39m(array):\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=547'>548</a>\u001b[0m     array \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49masarray(array)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=549'>550</a>\u001b[0m     \u001b[39m# default to lower precision so a full (abbreviated) line can fit on\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=550'>551</a>\u001b[0m     \u001b[39m# one line with the default display_width\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=551'>552</a>\u001b[0m     options \u001b[39m=\u001b[39m {\u001b[39m\"\u001b[39m\u001b[39mprecision\u001b[39m\u001b[39m\"\u001b[39m: \u001b[39m6\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mlinewidth\u001b[39m\u001b[39m\"\u001b[39m: OPTIONS[\u001b[39m\"\u001b[39m\u001b[39mdisplay_width\u001b[39m\u001b[39m\"\u001b[39m], \u001b[39m\"\u001b[39m\u001b[39mthreshold\u001b[39m\u001b[39m\"\u001b[39m: \u001b[39m200\u001b[39m}\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\common.py:143\u001b[0m, in \u001b[0;36mAbstractArray.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/common.py?line=141'>142</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__array__\u001b[39m(\u001b[39mself\u001b[39m: Any, dtype: DTypeLike \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m np\u001b[39m.\u001b[39mndarray:\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/common.py?line=142'>143</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m np\u001b[39m.\u001b[39masarray(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mvalues, dtype\u001b[39m=\u001b[39mdtype)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\variable.py:512\u001b[0m, in \u001b[0;36mVariable.values\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=508'>509</a>\u001b[0m \u001b[39m@property\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=509'>510</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mvalues\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=510'>511</a>\u001b[0m     \u001b[39m\"\"\"The variable's data as a numpy.ndarray\"\"\"\u001b[39;00m\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=511'>512</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m _as_array_or_item(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_data)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\variable.py:252\u001b[0m, in \u001b[0;36m_as_array_or_item\u001b[1;34m(data)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=237'>238</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_as_array_or_item\u001b[39m(data):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=238'>239</a>\u001b[0m     \u001b[39m\"\"\"Return the given values as a numpy array, or as an individual item if\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=239'>240</a>\u001b[0m \u001b[39m    it's a 0d datetime64 or timedelta64 array.\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=240'>241</a>\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=249'>250</a>\u001b[0m \u001b[39m    TODO: remove this (replace with np.asarray) once these issues are fixed\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=250'>251</a>\u001b[0m \u001b[39m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=251'>252</a>\u001b[0m     data \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49masarray(data)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=252'>253</a>\u001b[0m     \u001b[39mif\u001b[39;00m data\u001b[39m.\u001b[39mndim \u001b[39m==\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=253'>254</a>\u001b[0m         \u001b[39mif\u001b[39;00m data\u001b[39m.\u001b[39mdtype\u001b[39m.\u001b[39mkind \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mM\u001b[39m\u001b[39m\"\u001b[39m:\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\indexing.py:552\u001b[0m, in \u001b[0;36mMemoryCachedArray.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=550'>551</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__array__\u001b[39m(\u001b[39mself\u001b[39m, dtype\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=551'>552</a>\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_ensure_cached()\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=552'>553</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m np\u001b[39m.\u001b[39masarray(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39marray, dtype\u001b[39m=\u001b[39mdtype)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\indexing.py:549\u001b[0m, in \u001b[0;36mMemoryCachedArray._ensure_cached\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=546'>547</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_ensure_cached\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=547'>548</a>\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39misinstance\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39marray, NumpyIndexingAdapter):\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=548'>549</a>\u001b[0m         \u001b[39mself\u001b[39m\u001b[39m.\u001b[39marray \u001b[39m=\u001b[39m NumpyIndexingAdapter(np\u001b[39m.\u001b[39;49masarray(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49marray))\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\indexing.py:522\u001b[0m, in \u001b[0;36mCopyOnWriteArray.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=520'>521</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__array__\u001b[39m(\u001b[39mself\u001b[39m, dtype\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=521'>522</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m np\u001b[39m.\u001b[39;49masarray(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49marray, dtype\u001b[39m=\u001b[39;49mdtype)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\indexing.py:423\u001b[0m, in \u001b[0;36mLazilyIndexedArray.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=420'>421</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__array__\u001b[39m(\u001b[39mself\u001b[39m, dtype\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=421'>422</a>\u001b[0m     array \u001b[39m=\u001b[39m as_indexable(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39marray)\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=422'>423</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m np\u001b[39m.\u001b[39;49masarray(array[\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mkey], dtype\u001b[39m=\u001b[39;49m\u001b[39mNone\u001b[39;49;00m)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\coding\\variables.py:70\u001b[0m, in \u001b[0;36m_ElementwiseFunctionArray.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/variables.py?line=68'>69</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__array__\u001b[39m(\u001b[39mself\u001b[39m, dtype\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[1;32m---> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/variables.py?line=69'>70</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mfunc(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49marray)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\coding\\times.py:254\u001b[0m, in \u001b[0;36mdecode_cf_datetime\u001b[1;34m(num_dates, units, calendar, use_cftime)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=238'>239</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mdecode_cf_datetime\u001b[39m(num_dates, units, calendar\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m, use_cftime\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=239'>240</a>\u001b[0m     \u001b[39m\"\"\"Given an array of numeric dates in netCDF format, convert it into a\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=240'>241</a>\u001b[0m \u001b[39m    numpy array of date time objects.\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=241'>242</a>\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=251'>252</a>\u001b[0m \u001b[39m    cftime.num2date\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=252'>253</a>\u001b[0m \u001b[39m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=253'>254</a>\u001b[0m     num_dates \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49masarray(num_dates)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=254'>255</a>\u001b[0m     flat_num_dates \u001b[39m=\u001b[39m num_dates\u001b[39m.\u001b[39mravel()\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=255'>256</a>\u001b[0m     \u001b[39mif\u001b[39;00m calendar \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\indexing.py:423\u001b[0m, in \u001b[0;36mLazilyIndexedArray.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=420'>421</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__array__\u001b[39m(\u001b[39mself\u001b[39m, dtype\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=421'>422</a>\u001b[0m     array \u001b[39m=\u001b[39m as_indexable(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39marray)\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=422'>423</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m np\u001b[39m.\u001b[39masarray(array[\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mkey], dtype\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\h5netcdf_.py:51\u001b[0m, in \u001b[0;36mH5NetCDFArrayWrapper.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=49'>50</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__getitem__\u001b[39m(\u001b[39mself\u001b[39m, key):\n\u001b[1;32m---> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=50'>51</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m indexing\u001b[39m.\u001b[39;49mexplicit_indexing_adapter(\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=51'>52</a>\u001b[0m         key, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mshape, indexing\u001b[39m.\u001b[39;49mIndexingSupport\u001b[39m.\u001b[39;49mOUTER_1VECTOR, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_getitem\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=52'>53</a>\u001b[0m     )\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\indexing.py:712\u001b[0m, in \u001b[0;36mexplicit_indexing_adapter\u001b[1;34m(key, shape, indexing_support, raw_indexing_method)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=689'>690</a>\u001b[0m \u001b[39m\"\"\"Support explicit indexing by delegating to a raw indexing method.\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=690'>691</a>\u001b[0m \n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=691'>692</a>\u001b[0m \u001b[39mOuter and/or vectorized indexers are supported by indexing a second time\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=708'>709</a>\u001b[0m \u001b[39mIndexing result, in the form of a duck numpy-array.\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=709'>710</a>\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=710'>711</a>\u001b[0m raw_key, numpy_indices \u001b[39m=\u001b[39m decompose_indexer(key, shape, indexing_support)\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=711'>712</a>\u001b[0m result \u001b[39m=\u001b[39m raw_indexing_method(raw_key\u001b[39m.\u001b[39;49mtuple)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=712'>713</a>\u001b[0m \u001b[39mif\u001b[39;00m numpy_indices\u001b[39m.\u001b[39mtuple:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=713'>714</a>\u001b[0m     \u001b[39m# index the loaded np.ndarray\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=714'>715</a>\u001b[0m     result \u001b[39m=\u001b[39m NumpyIndexingAdapter(np\u001b[39m.\u001b[39masarray(result))[numpy_indices]\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\h5netcdf_.py:61\u001b[0m, in \u001b[0;36mH5NetCDFArrayWrapper._getitem\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=58'>59</a>\u001b[0m \u001b[39mwith\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdatastore\u001b[39m.\u001b[39mlock:\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=59'>60</a>\u001b[0m     array \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_array(needs_lock\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[1;32m---> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=60'>61</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m array[key]\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\h5netcdf\\core.py:303\u001b[0m, in \u001b[0;36mBaseVariable.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=294'>295</a>\u001b[0m         padding \u001b[39m=\u001b[39m [(\u001b[39m0\u001b[39m, s) \u001b[39mfor\u001b[39;00m s \u001b[39min\u001b[39;00m sdiff]\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=295'>296</a>\u001b[0m         \u001b[39mreturn\u001b[39;00m np\u001b[39m.\u001b[39mpad(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=296'>297</a>\u001b[0m             \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_h5ds,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=297'>298</a>\u001b[0m             pad_width\u001b[39m=\u001b[39mpadding,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=298'>299</a>\u001b[0m             mode\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mconstant\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=299'>300</a>\u001b[0m             constant_values\u001b[39m=\u001b[39mfv,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=300'>301</a>\u001b[0m         )[key]\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=302'>303</a>\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_h5ds[key]\n",
      "File \u001b[1;32mh5py\\_objects.pyx:54\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mh5py\\_objects.pyx:55\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\h5py\\_hl\\dataset.py:775\u001b[0m, in \u001b[0;36mDataset.__getitem__\u001b[1;34m(self, args, new_dtype)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/dataset.py?line=772'>773</a>\u001b[0m     arr \u001b[39m=\u001b[39m numpy\u001b[39m.\u001b[39mndarray(selection\u001b[39m.\u001b[39mmshape, dtype\u001b[39m=\u001b[39mnew_dtype)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/dataset.py?line=773'>774</a>\u001b[0m \u001b[39mfor\u001b[39;00m mspace, fspace \u001b[39min\u001b[39;00m selection:\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/dataset.py?line=774'>775</a>\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mid\u001b[39m.\u001b[39;49mread(mspace, fspace, arr, mtype)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/dataset.py?line=775'>776</a>\u001b[0m \u001b[39mif\u001b[39;00m selection\u001b[39m.\u001b[39mmshape \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/dataset.py?line=776'>777</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m arr[()]\n",
      "File \u001b[1;32mh5py\\_objects.pyx:54\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mh5py\\_objects.pyx:55\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mh5py\\h5d.pyx:192\u001b[0m, in \u001b[0;36mh5py.h5d.DatasetID.read\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mh5py\\_proxy.pyx:112\u001b[0m, in \u001b[0;36mh5py._proxy.dset_rw\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mh5py\\h5fd.pyx:162\u001b[0m, in \u001b[0;36mh5py.h5fd.H5FD_fileobj_read\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\fsspec\\spec.py:1554\u001b[0m, in \u001b[0;36mAbstractBufferedFile.readinto\u001b[1;34m(self, b)\u001b[0m\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1548'>1549</a>\u001b[0m \u001b[39m\"\"\"mirrors builtin file's readinto method\u001b[39;00m\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1549'>1550</a>\u001b[0m \n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1550'>1551</a>\u001b[0m \u001b[39mhttps://docs.python.org/3/library/io.html#io.RawIOBase.readinto\u001b[39;00m\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1551'>1552</a>\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1552'>1553</a>\u001b[0m out \u001b[39m=\u001b[39m \u001b[39mmemoryview\u001b[39m(b)\u001b[39m.\u001b[39mcast(\u001b[39m\"\u001b[39m\u001b[39mB\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m-> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1553'>1554</a>\u001b[0m data \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mread(out\u001b[39m.\u001b[39;49mnbytes)\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1554'>1555</a>\u001b[0m out[: \u001b[39mlen\u001b[39m(data)] \u001b[39m=\u001b[39m data\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1555'>1556</a>\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mlen\u001b[39m(data)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\fsspec\\spec.py:1539\u001b[0m, in \u001b[0;36mAbstractBufferedFile.read\u001b[1;34m(self, length)\u001b[0m\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1536'>1537</a>\u001b[0m     length \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msize \u001b[39m-\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mloc\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1537'>1538</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mclosed:\n\u001b[1;32m-> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1538'>1539</a>\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39mI/O operation on closed file.\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1539'>1540</a>\u001b[0m logger\u001b[39m.\u001b[39mdebug(\u001b[39m\"\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m read: \u001b[39m\u001b[39m%i\u001b[39;00m\u001b[39m - \u001b[39m\u001b[39m%i\u001b[39;00m\u001b[39m\"\u001b[39m \u001b[39m%\u001b[39m (\u001b[39mself\u001b[39m, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mloc, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mloc \u001b[39m+\u001b[39m length))\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1540'>1541</a>\u001b[0m \u001b[39mif\u001b[39;00m length \u001b[39m==\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1541'>1542</a>\u001b[0m     \u001b[39m# don't even bother calling fetch\u001b[39;00m\n",
      "\u001b[1;31mValueError\u001b[0m: I/O operation on closed file."
     ]
    },
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                                    (y: 1500, x: 2500,\n",
       "                                                number_of_time_bounds: 2,\n",
       "                                                number_of_image_bounds: 2,\n",
       "                                                number_of_LZA_bounds: 2,\n",
       "                                                number_of_SZA_bounds: 2)\n",
       "Coordinates: (12/14)\n",
       "    t                                          datetime64[ns] ...\n",
       "  * y                                          (y) float32 0.1282 ... 0.04427\n",
       "  * x                                          (x) float32 -0.1013 ... 0.03861\n",
       "    y_image                                    float32 ...\n",
       "    x_image                                    float32 ...\n",
       "    cod_product_wavelength                     float32 ...\n",
       "    ...                                         ...\n",
       "    quantitative_local_zenith_angle            float32 ...\n",
       "    day_solar_zenith_angle                     float32 ...\n",
       "    night_solar_zenith_angle                   float32 ...\n",
       "    twilight_solar_zenith_angle                float32 ...\n",
       "    day_algorithm_solar_zenith_angle           float32 ...\n",
       "    night_algorithm_solar_zenith_angle         float32 ...\n",
       "Dimensions without coordinates: number_of_time_bounds, number_of_image_bounds,\n",
       "                                number_of_LZA_bounds, number_of_SZA_bounds\n",
       "Data variables: (12/38)\n",
       "    COD                                        (y, x) float32 ...\n",
       "    DQF                                        (y, x) float32 ...\n",
       "    time_bounds                                (number_of_time_bounds) datetime64[ns] ...\n",
       "    goes_imager_projection                     int32 ...\n",
       "    y_image_bounds                             (number_of_image_bounds) float32 ...\n",
       "    x_image_bounds                             (number_of_image_bounds) float32 ...\n",
       "    ...                                         ...\n",
       "    percent_uncorrectable_L0_errors            float32 ...\n",
       "    daytime_cloud_pixels                       float64 ...\n",
       "    nighttime_cloud_pixels                     float64 ...\n",
       "    percent_daytime_pixels                     float32 ...\n",
       "    percent_nighttime_pixels                   float32 ...\n",
       "    percent_terminator_pixels                  float32 ...\n",
       "Attributes: (12/29)\n",
       "    naming_authority:          gov.nesdis.noaa\n",
       "    Conventions:               CF-1.7\n",
       "    Metadata_Conventions:      Unidata Dataset Discovery v1.0\n",
       "    standard_name_vocabulary:  CF Standard Name Table (v35, 20 July 2016)\n",
       "    institution:               DOC/NOAA/NESDIS > U.S. Department of Commerce,...\n",
       "    project:                   GOES\n",
       "    ...                        ...\n",
       "    cdm_data_type:             Image\n",
       "    time_coverage_start:       2021-01-01T00:01:17.6Z\n",
       "    time_coverage_end:         2021-01-01T00:03:54.9Z\n",
       "    timeline_id:               ABI Mode 6\n",
       "    production_data_source:    Realtime\n",
       "    id:                        906045ef-3a92-4aea-bfa8-a6eceb5efbab"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "I/O operation on closed file.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\IPython\\core\\formatters.py:343\u001b[0m, in \u001b[0;36mBaseFormatter.__call__\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/IPython/core/formatters.py?line=340'>341</a>\u001b[0m     method \u001b[39m=\u001b[39m get_real_method(obj, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprint_method)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/IPython/core/formatters.py?line=341'>342</a>\u001b[0m     \u001b[39mif\u001b[39;00m method \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/IPython/core/formatters.py?line=342'>343</a>\u001b[0m         \u001b[39mreturn\u001b[39;00m method()\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/IPython/core/formatters.py?line=343'>344</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/IPython/core/formatters.py?line=344'>345</a>\u001b[0m \u001b[39melse\u001b[39;00m:\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\dataset.py:2058\u001b[0m, in \u001b[0;36mDataset._repr_html_\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/dataset.py?line=2055'>2056</a>\u001b[0m \u001b[39mif\u001b[39;00m OPTIONS[\u001b[39m\"\u001b[39m\u001b[39mdisplay_style\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mtext\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/dataset.py?line=2056'>2057</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m<pre>\u001b[39m\u001b[39m{\u001b[39;00mescape(\u001b[39mrepr\u001b[39m(\u001b[39mself\u001b[39m))\u001b[39m}\u001b[39;00m\u001b[39m</pre>\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m-> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/dataset.py?line=2057'>2058</a>\u001b[0m \u001b[39mreturn\u001b[39;00m formatting_html\u001b[39m.\u001b[39;49mdataset_repr(\u001b[39mself\u001b[39;49m)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting_html.py:296\u001b[0m, in \u001b[0;36mdataset_repr\u001b[1;34m(ds)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=289'>290</a>\u001b[0m obj_type \u001b[39m=\u001b[39m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mxarray.\u001b[39m\u001b[39m{\u001b[39;00m\u001b[39mtype\u001b[39m(ds)\u001b[39m.\u001b[39m\u001b[39m__name__\u001b[39m\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=291'>292</a>\u001b[0m header_components \u001b[39m=\u001b[39m [\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m<div class=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mxr-obj-type\u001b[39m\u001b[39m'\u001b[39m\u001b[39m>\u001b[39m\u001b[39m{\u001b[39;00mescape(obj_type)\u001b[39m}\u001b[39;00m\u001b[39m</div>\u001b[39m\u001b[39m\"\u001b[39m]\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=293'>294</a>\u001b[0m sections \u001b[39m=\u001b[39m [\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=294'>295</a>\u001b[0m     dim_section(ds),\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=295'>296</a>\u001b[0m     coord_section(ds\u001b[39m.\u001b[39;49mcoords),\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=296'>297</a>\u001b[0m     datavar_section(ds\u001b[39m.\u001b[39mdata_vars),\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=297'>298</a>\u001b[0m     attr_section(ds\u001b[39m.\u001b[39mattrs),\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=298'>299</a>\u001b[0m ]\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=300'>301</a>\u001b[0m \u001b[39mreturn\u001b[39;00m _obj_repr(ds, header_components, sections)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting_html.py:179\u001b[0m, in \u001b[0;36m_mapping_section\u001b[1;34m(mapping, name, details_func, max_items_collapse, expand_option_name, enabled)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=171'>172</a>\u001b[0m expanded \u001b[39m=\u001b[39m _get_boolean_with_default(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=172'>173</a>\u001b[0m     expand_option_name, n_items \u001b[39m<\u001b[39m max_items_collapse\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=173'>174</a>\u001b[0m )\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=174'>175</a>\u001b[0m collapsed \u001b[39m=\u001b[39m \u001b[39mnot\u001b[39;00m expanded\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=176'>177</a>\u001b[0m \u001b[39mreturn\u001b[39;00m collapsible_section(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=177'>178</a>\u001b[0m     name,\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=178'>179</a>\u001b[0m     details\u001b[39m=\u001b[39mdetails_func(mapping),\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=179'>180</a>\u001b[0m     n_items\u001b[39m=\u001b[39mn_items,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=180'>181</a>\u001b[0m     enabled\u001b[39m=\u001b[39menabled,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=181'>182</a>\u001b[0m     collapsed\u001b[39m=\u001b[39mcollapsed,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=182'>183</a>\u001b[0m )\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting_html.py:93\u001b[0m, in \u001b[0;36msummarize_coords\u001b[1;34m(variables)\u001b[0m\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=90'>91</a>\u001b[0m coords \u001b[39m=\u001b[39m {}\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=91'>92</a>\u001b[0m \u001b[39mfor\u001b[39;00m k, v \u001b[39min\u001b[39;00m variables\u001b[39m.\u001b[39mitems():\n\u001b[1;32m---> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=92'>93</a>\u001b[0m     coords\u001b[39m.\u001b[39mupdate(\u001b[39m*\u001b[39m\u001b[39m*\u001b[39msummarize_coord(k, v))\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=94'>95</a>\u001b[0m vars_li \u001b[39m=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m.\u001b[39mjoin(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m<li class=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mxr-var-item\u001b[39m\u001b[39m'\u001b[39m\u001b[39m>\u001b[39m\u001b[39m{\u001b[39;00mv\u001b[39m}\u001b[39;00m\u001b[39m</li>\u001b[39m\u001b[39m\"\u001b[39m \u001b[39mfor\u001b[39;00m v \u001b[39min\u001b[39;00m coords\u001b[39m.\u001b[39mvalues())\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=96'>97</a>\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m<ul class=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mxr-var-list\u001b[39m\u001b[39m'\u001b[39m\u001b[39m>\u001b[39m\u001b[39m{\u001b[39;00mvars_li\u001b[39m}\u001b[39;00m\u001b[39m</ul>\u001b[39m\u001b[39m\"\u001b[39m\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting_html.py:87\u001b[0m, in \u001b[0;36msummarize_coord\u001b[1;34m(name, var)\u001b[0m\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=83'>84</a>\u001b[0m             coords[lname] \u001b[39m=\u001b[39m summarize_variable(lname, var)\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=84'>85</a>\u001b[0m         \u001b[39mreturn\u001b[39;00m coords\n\u001b[1;32m---> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=86'>87</a>\u001b[0m \u001b[39mreturn\u001b[39;00m {name: summarize_variable(name, var, is_index)}\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting_html.py:115\u001b[0m, in \u001b[0;36msummarize_variable\u001b[1;34m(name, var, is_index, dtype, preview)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=112'>113</a>\u001b[0m preview \u001b[39m=\u001b[39m preview \u001b[39mor\u001b[39;00m escape(inline_variable_array_repr(variable, \u001b[39m35\u001b[39m))\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=113'>114</a>\u001b[0m attrs_ul \u001b[39m=\u001b[39m summarize_attrs(var\u001b[39m.\u001b[39mattrs)\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=114'>115</a>\u001b[0m data_repr \u001b[39m=\u001b[39m short_data_repr_html(variable)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=116'>117</a>\u001b[0m attrs_icon \u001b[39m=\u001b[39m _icon(\u001b[39m\"\u001b[39m\u001b[39micon-file-text2\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=117'>118</a>\u001b[0m data_icon \u001b[39m=\u001b[39m _icon(\u001b[39m\"\u001b[39m\u001b[39micon-database\u001b[39m\u001b[39m\"\u001b[39m)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting_html.py:30\u001b[0m, in \u001b[0;36mshort_data_repr_html\u001b[1;34m(array)\u001b[0m\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=27'>28</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mhasattr\u001b[39m(internal_data, \u001b[39m\"\u001b[39m\u001b[39m_repr_html_\u001b[39m\u001b[39m\"\u001b[39m):\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=28'>29</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m internal_data\u001b[39m.\u001b[39m_repr_html_()\n\u001b[1;32m---> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=29'>30</a>\u001b[0m text \u001b[39m=\u001b[39m escape(short_data_repr(array))\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting_html.py?line=30'>31</a>\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m<pre>\u001b[39m\u001b[39m{\u001b[39;00mtext\u001b[39m}\u001b[39;00m\u001b[39m</pre>\u001b[39m\u001b[39m\"\u001b[39m\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting.py:572\u001b[0m, in \u001b[0;36mshort_data_repr\u001b[1;34m(array)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=569'>570</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m limit_lines(\u001b[39mrepr\u001b[39m(array\u001b[39m.\u001b[39mdata), limit\u001b[39m=\u001b[39m\u001b[39m40\u001b[39m)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=570'>571</a>\u001b[0m \u001b[39melif\u001b[39;00m array\u001b[39m.\u001b[39m_in_memory \u001b[39mor\u001b[39;00m array\u001b[39m.\u001b[39msize \u001b[39m<\u001b[39m \u001b[39m1e5\u001b[39m:\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=571'>572</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m short_numpy_repr(array)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=572'>573</a>\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=573'>574</a>\u001b[0m     \u001b[39m# internal xarray array type\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=574'>575</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m[\u001b[39m\u001b[39m{\u001b[39;00marray\u001b[39m.\u001b[39msize\u001b[39m}\u001b[39;00m\u001b[39m values with dtype=\u001b[39m\u001b[39m{\u001b[39;00marray\u001b[39m.\u001b[39mdtype\u001b[39m}\u001b[39;00m\u001b[39m]\u001b[39m\u001b[39m\"\u001b[39m\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\formatting.py:548\u001b[0m, in \u001b[0;36mshort_numpy_repr\u001b[1;34m(array)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=546'>547</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mshort_numpy_repr\u001b[39m(array):\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=547'>548</a>\u001b[0m     array \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49masarray(array)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=549'>550</a>\u001b[0m     \u001b[39m# default to lower precision so a full (abbreviated) line can fit on\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=550'>551</a>\u001b[0m     \u001b[39m# one line with the default display_width\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/formatting.py?line=551'>552</a>\u001b[0m     options \u001b[39m=\u001b[39m {\u001b[39m\"\u001b[39m\u001b[39mprecision\u001b[39m\u001b[39m\"\u001b[39m: \u001b[39m6\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mlinewidth\u001b[39m\u001b[39m\"\u001b[39m: OPTIONS[\u001b[39m\"\u001b[39m\u001b[39mdisplay_width\u001b[39m\u001b[39m\"\u001b[39m], \u001b[39m\"\u001b[39m\u001b[39mthreshold\u001b[39m\u001b[39m\"\u001b[39m: \u001b[39m200\u001b[39m}\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\common.py:143\u001b[0m, in \u001b[0;36mAbstractArray.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/common.py?line=141'>142</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__array__\u001b[39m(\u001b[39mself\u001b[39m: Any, dtype: DTypeLike \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m np\u001b[39m.\u001b[39mndarray:\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/common.py?line=142'>143</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m np\u001b[39m.\u001b[39masarray(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mvalues, dtype\u001b[39m=\u001b[39mdtype)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\variable.py:512\u001b[0m, in \u001b[0;36mVariable.values\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=508'>509</a>\u001b[0m \u001b[39m@property\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=509'>510</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mvalues\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=510'>511</a>\u001b[0m     \u001b[39m\"\"\"The variable's data as a numpy.ndarray\"\"\"\u001b[39;00m\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=511'>512</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m _as_array_or_item(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_data)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\variable.py:252\u001b[0m, in \u001b[0;36m_as_array_or_item\u001b[1;34m(data)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=237'>238</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_as_array_or_item\u001b[39m(data):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=238'>239</a>\u001b[0m     \u001b[39m\"\"\"Return the given values as a numpy array, or as an individual item if\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=239'>240</a>\u001b[0m \u001b[39m    it's a 0d datetime64 or timedelta64 array.\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=240'>241</a>\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=249'>250</a>\u001b[0m \u001b[39m    TODO: remove this (replace with np.asarray) once these issues are fixed\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=250'>251</a>\u001b[0m \u001b[39m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=251'>252</a>\u001b[0m     data \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49masarray(data)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=252'>253</a>\u001b[0m     \u001b[39mif\u001b[39;00m data\u001b[39m.\u001b[39mndim \u001b[39m==\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/variable.py?line=253'>254</a>\u001b[0m         \u001b[39mif\u001b[39;00m data\u001b[39m.\u001b[39mdtype\u001b[39m.\u001b[39mkind \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mM\u001b[39m\u001b[39m\"\u001b[39m:\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\indexing.py:552\u001b[0m, in \u001b[0;36mMemoryCachedArray.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=550'>551</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__array__\u001b[39m(\u001b[39mself\u001b[39m, dtype\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=551'>552</a>\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_ensure_cached()\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=552'>553</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m np\u001b[39m.\u001b[39masarray(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39marray, dtype\u001b[39m=\u001b[39mdtype)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\indexing.py:549\u001b[0m, in \u001b[0;36mMemoryCachedArray._ensure_cached\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=546'>547</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_ensure_cached\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=547'>548</a>\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39misinstance\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39marray, NumpyIndexingAdapter):\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=548'>549</a>\u001b[0m         \u001b[39mself\u001b[39m\u001b[39m.\u001b[39marray \u001b[39m=\u001b[39m NumpyIndexingAdapter(np\u001b[39m.\u001b[39;49masarray(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49marray))\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\indexing.py:522\u001b[0m, in \u001b[0;36mCopyOnWriteArray.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=520'>521</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__array__\u001b[39m(\u001b[39mself\u001b[39m, dtype\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=521'>522</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m np\u001b[39m.\u001b[39;49masarray(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49marray, dtype\u001b[39m=\u001b[39;49mdtype)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\indexing.py:423\u001b[0m, in \u001b[0;36mLazilyIndexedArray.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=420'>421</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__array__\u001b[39m(\u001b[39mself\u001b[39m, dtype\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=421'>422</a>\u001b[0m     array \u001b[39m=\u001b[39m as_indexable(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39marray)\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=422'>423</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m np\u001b[39m.\u001b[39;49masarray(array[\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mkey], dtype\u001b[39m=\u001b[39;49m\u001b[39mNone\u001b[39;49;00m)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\coding\\variables.py:70\u001b[0m, in \u001b[0;36m_ElementwiseFunctionArray.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/variables.py?line=68'>69</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__array__\u001b[39m(\u001b[39mself\u001b[39m, dtype\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[1;32m---> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/variables.py?line=69'>70</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mfunc(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49marray)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\coding\\times.py:254\u001b[0m, in \u001b[0;36mdecode_cf_datetime\u001b[1;34m(num_dates, units, calendar, use_cftime)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=238'>239</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mdecode_cf_datetime\u001b[39m(num_dates, units, calendar\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m, use_cftime\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=239'>240</a>\u001b[0m     \u001b[39m\"\"\"Given an array of numeric dates in netCDF format, convert it into a\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=240'>241</a>\u001b[0m \u001b[39m    numpy array of date time objects.\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=241'>242</a>\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=251'>252</a>\u001b[0m \u001b[39m    cftime.num2date\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=252'>253</a>\u001b[0m \u001b[39m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=253'>254</a>\u001b[0m     num_dates \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49masarray(num_dates)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=254'>255</a>\u001b[0m     flat_num_dates \u001b[39m=\u001b[39m num_dates\u001b[39m.\u001b[39mravel()\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/coding/times.py?line=255'>256</a>\u001b[0m     \u001b[39mif\u001b[39;00m calendar \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\indexing.py:423\u001b[0m, in \u001b[0;36mLazilyIndexedArray.__array__\u001b[1;34m(self, dtype)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=420'>421</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__array__\u001b[39m(\u001b[39mself\u001b[39m, dtype\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=421'>422</a>\u001b[0m     array \u001b[39m=\u001b[39m as_indexable(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39marray)\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=422'>423</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m np\u001b[39m.\u001b[39masarray(array[\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mkey], dtype\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\h5netcdf_.py:51\u001b[0m, in \u001b[0;36mH5NetCDFArrayWrapper.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=49'>50</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__getitem__\u001b[39m(\u001b[39mself\u001b[39m, key):\n\u001b[1;32m---> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=50'>51</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m indexing\u001b[39m.\u001b[39;49mexplicit_indexing_adapter(\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=51'>52</a>\u001b[0m         key, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mshape, indexing\u001b[39m.\u001b[39;49mIndexingSupport\u001b[39m.\u001b[39;49mOUTER_1VECTOR, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_getitem\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=52'>53</a>\u001b[0m     )\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\core\\indexing.py:712\u001b[0m, in \u001b[0;36mexplicit_indexing_adapter\u001b[1;34m(key, shape, indexing_support, raw_indexing_method)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=689'>690</a>\u001b[0m \u001b[39m\"\"\"Support explicit indexing by delegating to a raw indexing method.\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=690'>691</a>\u001b[0m \n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=691'>692</a>\u001b[0m \u001b[39mOuter and/or vectorized indexers are supported by indexing a second time\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=708'>709</a>\u001b[0m \u001b[39mIndexing result, in the form of a duck numpy-array.\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=709'>710</a>\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=710'>711</a>\u001b[0m raw_key, numpy_indices \u001b[39m=\u001b[39m decompose_indexer(key, shape, indexing_support)\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=711'>712</a>\u001b[0m result \u001b[39m=\u001b[39m raw_indexing_method(raw_key\u001b[39m.\u001b[39;49mtuple)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=712'>713</a>\u001b[0m \u001b[39mif\u001b[39;00m numpy_indices\u001b[39m.\u001b[39mtuple:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=713'>714</a>\u001b[0m     \u001b[39m# index the loaded np.ndarray\u001b[39;00m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/core/indexing.py?line=714'>715</a>\u001b[0m     result \u001b[39m=\u001b[39m NumpyIndexingAdapter(np\u001b[39m.\u001b[39masarray(result))[numpy_indices]\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\h5netcdf_.py:61\u001b[0m, in \u001b[0;36mH5NetCDFArrayWrapper._getitem\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=58'>59</a>\u001b[0m \u001b[39mwith\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdatastore\u001b[39m.\u001b[39mlock:\n\u001b[0;32m     <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=59'>60</a>\u001b[0m     array \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_array(needs_lock\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[1;32m---> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/h5netcdf_.py?line=60'>61</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m array[key]\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\h5netcdf\\core.py:303\u001b[0m, in \u001b[0;36mBaseVariable.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=294'>295</a>\u001b[0m         padding \u001b[39m=\u001b[39m [(\u001b[39m0\u001b[39m, s) \u001b[39mfor\u001b[39;00m s \u001b[39min\u001b[39;00m sdiff]\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=295'>296</a>\u001b[0m         \u001b[39mreturn\u001b[39;00m np\u001b[39m.\u001b[39mpad(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=296'>297</a>\u001b[0m             \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_h5ds,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=297'>298</a>\u001b[0m             pad_width\u001b[39m=\u001b[39mpadding,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=298'>299</a>\u001b[0m             mode\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mconstant\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=299'>300</a>\u001b[0m             constant_values\u001b[39m=\u001b[39mfv,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=300'>301</a>\u001b[0m         )[key]\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5netcdf/core.py?line=302'>303</a>\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_h5ds[key]\n",
      "File \u001b[1;32mh5py\\_objects.pyx:54\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mh5py\\_objects.pyx:55\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\h5py\\_hl\\dataset.py:775\u001b[0m, in \u001b[0;36mDataset.__getitem__\u001b[1;34m(self, args, new_dtype)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/dataset.py?line=772'>773</a>\u001b[0m     arr \u001b[39m=\u001b[39m numpy\u001b[39m.\u001b[39mndarray(selection\u001b[39m.\u001b[39mmshape, dtype\u001b[39m=\u001b[39mnew_dtype)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/dataset.py?line=773'>774</a>\u001b[0m \u001b[39mfor\u001b[39;00m mspace, fspace \u001b[39min\u001b[39;00m selection:\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/dataset.py?line=774'>775</a>\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mid\u001b[39m.\u001b[39;49mread(mspace, fspace, arr, mtype)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/dataset.py?line=775'>776</a>\u001b[0m \u001b[39mif\u001b[39;00m selection\u001b[39m.\u001b[39mmshape \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/h5py/_hl/dataset.py?line=776'>777</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m arr[()]\n",
      "File \u001b[1;32mh5py\\_objects.pyx:54\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mh5py\\_objects.pyx:55\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mh5py\\h5d.pyx:192\u001b[0m, in \u001b[0;36mh5py.h5d.DatasetID.read\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mh5py\\_proxy.pyx:112\u001b[0m, in \u001b[0;36mh5py._proxy.dset_rw\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mh5py\\h5fd.pyx:162\u001b[0m, in \u001b[0;36mh5py.h5fd.H5FD_fileobj_read\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\fsspec\\spec.py:1554\u001b[0m, in \u001b[0;36mAbstractBufferedFile.readinto\u001b[1;34m(self, b)\u001b[0m\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1548'>1549</a>\u001b[0m \u001b[39m\"\"\"mirrors builtin file's readinto method\u001b[39;00m\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1549'>1550</a>\u001b[0m \n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1550'>1551</a>\u001b[0m \u001b[39mhttps://docs.python.org/3/library/io.html#io.RawIOBase.readinto\u001b[39;00m\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1551'>1552</a>\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1552'>1553</a>\u001b[0m out \u001b[39m=\u001b[39m \u001b[39mmemoryview\u001b[39m(b)\u001b[39m.\u001b[39mcast(\u001b[39m\"\u001b[39m\u001b[39mB\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m-> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1553'>1554</a>\u001b[0m data \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mread(out\u001b[39m.\u001b[39;49mnbytes)\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1554'>1555</a>\u001b[0m out[: \u001b[39mlen\u001b[39m(data)] \u001b[39m=\u001b[39m data\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1555'>1556</a>\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mlen\u001b[39m(data)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\fsspec\\spec.py:1539\u001b[0m, in \u001b[0;36mAbstractBufferedFile.read\u001b[1;34m(self, length)\u001b[0m\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1536'>1537</a>\u001b[0m     length \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msize \u001b[39m-\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mloc\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1537'>1538</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mclosed:\n\u001b[1;32m-> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1538'>1539</a>\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39mI/O operation on closed file.\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1539'>1540</a>\u001b[0m logger\u001b[39m.\u001b[39mdebug(\u001b[39m\"\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m read: \u001b[39m\u001b[39m%i\u001b[39;00m\u001b[39m - \u001b[39m\u001b[39m%i\u001b[39;00m\u001b[39m\"\u001b[39m \u001b[39m%\u001b[39m (\u001b[39mself\u001b[39m, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mloc, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mloc \u001b[39m+\u001b[39m length))\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1540'>1541</a>\u001b[0m \u001b[39mif\u001b[39;00m length \u001b[39m==\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[0;32m   <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/fsspec/spec.py?line=1541'>1542</a>\u001b[0m     \u001b[39m# don't even bother calling fetch\u001b[39;00m\n",
      "\u001b[1;31mValueError\u001b[0m: I/O operation on closed file."
     ]
    },
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                                    (y: 1500, x: 2500,\n",
       "                                                number_of_time_bounds: 2,\n",
       "                                                number_of_image_bounds: 2,\n",
       "                                                number_of_LZA_bounds: 2,\n",
       "                                                number_of_SZA_bounds: 2)\n",
       "Coordinates: (12/14)\n",
       "    t                                          datetime64[ns] ...\n",
       "  * y                                          (y) float32 0.1282 ... 0.04427\n",
       "  * x                                          (x) float32 -0.1013 ... 0.03861\n",
       "    y_image                                    float32 ...\n",
       "    x_image                                    float32 ...\n",
       "    cod_product_wavelength                     float32 ...\n",
       "    ...                                         ...\n",
       "    quantitative_local_zenith_angle            float32 ...\n",
       "    day_solar_zenith_angle                     float32 ...\n",
       "    night_solar_zenith_angle                   float32 ...\n",
       "    twilight_solar_zenith_angle                float32 ...\n",
       "    day_algorithm_solar_zenith_angle           float32 ...\n",
       "    night_algorithm_solar_zenith_angle         float32 ...\n",
       "Dimensions without coordinates: number_of_time_bounds, number_of_image_bounds,\n",
       "                                number_of_LZA_bounds, number_of_SZA_bounds\n",
       "Data variables: (12/38)\n",
       "    COD                                        (y, x) float32 ...\n",
       "    DQF                                        (y, x) float32 ...\n",
       "    time_bounds                                (number_of_time_bounds) datetime64[ns] ...\n",
       "    goes_imager_projection                     int32 ...\n",
       "    y_image_bounds                             (number_of_image_bounds) float32 ...\n",
       "    x_image_bounds                             (number_of_image_bounds) float32 ...\n",
       "    ...                                         ...\n",
       "    percent_uncorrectable_L0_errors            float32 ...\n",
       "    daytime_cloud_pixels                       float64 ...\n",
       "    nighttime_cloud_pixels                     float64 ...\n",
       "    percent_daytime_pixels                     float32 ...\n",
       "    percent_nighttime_pixels                   float32 ...\n",
       "    percent_terminator_pixels                  float32 ...\n",
       "Attributes: (12/29)\n",
       "    naming_authority:          gov.nesdis.noaa\n",
       "    Conventions:               CF-1.7\n",
       "    Metadata_Conventions:      Unidata Dataset Discovery v1.0\n",
       "    standard_name_vocabulary:  CF Standard Name Table (v35, 20 July 2016)\n",
       "    institution:               DOC/NOAA/NESDIS > U.S. Department of Commerce,...\n",
       "    project:                   GOES\n",
       "    ...                        ...\n",
       "    cdm_data_type:             Image\n",
       "    time_coverage_start:       2021-01-01T00:01:17.6Z\n",
       "    time_coverage_end:         2021-01-01T00:03:54.9Z\n",
       "    timeline_id:               ABI Mode 6\n",
       "    production_data_source:    Realtime\n",
       "    id:                        906045ef-3a92-4aea-bfa8-a6eceb5efbab"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>file</th>\n",
       "      <th>product_mode</th>\n",
       "      <th>satellite</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>creation</th>\n",
       "      <th>product</th>\n",
       "      <th>mode_bands</th>\n",
       "      <th>mode</th>\n",
       "      <th>band</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>noaa-goes16/ABI-L2-CODC/2022/156/04/OR_ABI-L2-...</td>\n",
       "      <td>ABI-L2-CODC-M6</td>\n",
       "      <td>G16</td>\n",
       "      <td>2022-06-05 04:36:17.700</td>\n",
       "      <td>2022-06-05 04:38:55</td>\n",
       "      <td>2022-06-05 04:42:01.100</td>\n",
       "      <td>ABI-L2-CODC</td>\n",
       "      <td>M6</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                file    product_mode  \\\n",
       "0  noaa-goes16/ABI-L2-CODC/2022/156/04/OR_ABI-L2-...  ABI-L2-CODC-M6   \n",
       "\n",
       "  satellite                   start                 end  \\\n",
       "0       G16 2022-06-05 04:36:17.700 2022-06-05 04:38:55   \n",
       "\n",
       "                 creation      product mode_bands  mode  band  \n",
       "0 2022-06-05 04:42:01.100  ABI-L2-CODC         M6     6  None  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = G.latest(download=False, return_as=\"filelist\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "did not find a match in any of xarray's currently installed IO backends ['netcdf4', 'h5netcdf', 'scipy']. Consider explicitly selecting one of the installed engines via the ``engine`` parameter, or installing additional IO dependencies, see:\nhttps://docs.xarray.dev/en/stable/getting-started-guide/installing.html\nhttps://docs.xarray.dev/en/stable/user-guide/io.html",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32mc:\\Users\\blayl_depgywe\\BB_python\\goes2go\\goes2go\\working_on_new_GOES_class.ipynb Cell 14'\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/Users/blayl_depgywe/BB_python/goes2go/goes2go/working_on_new_GOES_class.ipynb#ch0000013?line=0'>1</a>\u001b[0m xr\u001b[39m.\u001b[39;49mopen_dataarray(df\u001b[39m.\u001b[39;49mfile)\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\api.py:652\u001b[0m, in \u001b[0;36mopen_dataarray\u001b[1;34m(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, backend_kwargs, *args, **kwargs)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=645'>646</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(args) \u001b[39m>\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=646'>647</a>\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mTypeError\u001b[39;00m(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=647'>648</a>\u001b[0m         \u001b[39m\"\u001b[39m\u001b[39mopen_dataarray() takes only 1 positional argument starting from version 0.18.0, \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=648'>649</a>\u001b[0m         \u001b[39m\"\u001b[39m\u001b[39mall other options must be passed as keyword arguments\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=649'>650</a>\u001b[0m     )\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=651'>652</a>\u001b[0m dataset \u001b[39m=\u001b[39m open_dataset(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=652'>653</a>\u001b[0m     filename_or_obj,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=653'>654</a>\u001b[0m     decode_cf\u001b[39m=\u001b[39mdecode_cf,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=654'>655</a>\u001b[0m     mask_and_scale\u001b[39m=\u001b[39mmask_and_scale,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=655'>656</a>\u001b[0m     decode_times\u001b[39m=\u001b[39mdecode_times,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=656'>657</a>\u001b[0m     concat_characters\u001b[39m=\u001b[39mconcat_characters,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=657'>658</a>\u001b[0m     decode_coords\u001b[39m=\u001b[39mdecode_coords,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=658'>659</a>\u001b[0m     engine\u001b[39m=\u001b[39mengine,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=659'>660</a>\u001b[0m     chunks\u001b[39m=\u001b[39mchunks,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=660'>661</a>\u001b[0m     cache\u001b[39m=\u001b[39mcache,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=661'>662</a>\u001b[0m     drop_variables\u001b[39m=\u001b[39mdrop_variables,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=662'>663</a>\u001b[0m     backend_kwargs\u001b[39m=\u001b[39mbackend_kwargs,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=663'>664</a>\u001b[0m     use_cftime\u001b[39m=\u001b[39muse_cftime,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=664'>665</a>\u001b[0m     decode_timedelta\u001b[39m=\u001b[39mdecode_timedelta,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=665'>666</a>\u001b[0m     \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=666'>667</a>\u001b[0m )\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=668'>669</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(dataset\u001b[39m.\u001b[39mdata_vars) \u001b[39m!=\u001b[39m \u001b[39m1\u001b[39m:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=669'>670</a>\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=670'>671</a>\u001b[0m         \u001b[39m\"\u001b[39m\u001b[39mGiven file dataset contains more than one data \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=671'>672</a>\u001b[0m         \u001b[39m\"\u001b[39m\u001b[39mvariable. Please read with xarray.open_dataset and \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=672'>673</a>\u001b[0m         \u001b[39m\"\u001b[39m\u001b[39mthen select the variable you want.\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=673'>674</a>\u001b[0m     )\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\api.py:479\u001b[0m, in \u001b[0;36mopen_dataset\u001b[1;34m(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, backend_kwargs, *args, **kwargs)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=475'>476</a>\u001b[0m     kwargs\u001b[39m.\u001b[39mupdate(backend_kwargs)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=477'>478</a>\u001b[0m \u001b[39mif\u001b[39;00m engine \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=478'>479</a>\u001b[0m     engine \u001b[39m=\u001b[39m plugins\u001b[39m.\u001b[39;49mguess_engine(filename_or_obj)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=480'>481</a>\u001b[0m backend \u001b[39m=\u001b[39m plugins\u001b[39m.\u001b[39mget_backend(engine)\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=482'>483</a>\u001b[0m decoders \u001b[39m=\u001b[39m _resolve_decoders_kwargs(\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=483'>484</a>\u001b[0m     decode_cf,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=484'>485</a>\u001b[0m     open_backend_dataset_parameters\u001b[39m=\u001b[39mbackend\u001b[39m.\u001b[39mopen_dataset_parameters,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=490'>491</a>\u001b[0m     decode_coords\u001b[39m=\u001b[39mdecode_coords,\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/api.py?line=491'>492</a>\u001b[0m )\n",
      "File \u001b[1;32mc:\\Users\\blayl_depgywe\\miniconda3\\envs\\goes2go\\lib\\site-packages\\xarray\\backends\\plugins.py:148\u001b[0m, in \u001b[0;36mguess_engine\u001b[1;34m(store_spec)\u001b[0m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/plugins.py?line=139'>140</a>\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/plugins.py?line=140'>141</a>\u001b[0m     error_msg \u001b[39m=\u001b[39m (\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/plugins.py?line=141'>142</a>\u001b[0m         \u001b[39m\"\u001b[39m\u001b[39mfound the following matches with the input file in xarray\u001b[39m\u001b[39m'\u001b[39m\u001b[39ms IO \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/plugins.py?line=142'>143</a>\u001b[0m         \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mbackends: \u001b[39m\u001b[39m{\u001b[39;00mcompatible_engines\u001b[39m}\u001b[39;00m\u001b[39m. But their dependencies may not be installed, see:\u001b[39m\u001b[39m\\n\u001b[39;00m\u001b[39m\"\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/plugins.py?line=143'>144</a>\u001b[0m         \u001b[39m\"\u001b[39m\u001b[39mhttps://docs.xarray.dev/en/stable/user-guide/io.html \u001b[39m\u001b[39m\\n\u001b[39;00m\u001b[39m\"\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/plugins.py?line=144'>145</a>\u001b[0m         \u001b[39m\"\u001b[39m\u001b[39mhttps://docs.xarray.dev/en/stable/getting-started-guide/installing.html\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m    <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/plugins.py?line=145'>146</a>\u001b[0m     )\n\u001b[1;32m--> <a href='file:///c%3A/Users/blayl_depgywe/miniconda3/envs/goes2go/lib/site-packages/xarray/backends/plugins.py?line=147'>148</a>\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(error_msg)\n",
      "\u001b[1;31mValueError\u001b[0m: did not find a match in any of xarray's currently installed IO backends ['netcdf4', 'h5netcdf', 'scipy']. Consider explicitly selecting one of the installed engines via the ``engine`` parameter, or installing additional IO dependencies, see:\nhttps://docs.xarray.dev/en/stable/getting-started-guide/installing.html\nhttps://docs.xarray.dev/en/stable/user-guide/io.html"
     ]
    }
   ],
   "source": [
    "xr.open_dataarray(df.file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 👮🏻‍♂️ File already exists. Do not overwrite: /p/cwfs/blaylock/data/noaa-goes16/ABI-L2-MCMIPC/2022/293/20/OR_ABI-L2-MCMIPC-M6_G16_s20222932036172_e20222932038545_c20222932039059.nc\n",
      "📦 Finished downloading [1] files to [/p/cwfs/blaylock/data/noaa-goes16/ABI-L2-MCMIPC].\n",
      "📚 Finished reading [1] files into xarray.Dataset.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      \n"
     ]
    }
   ],
   "source": [
    "from goes2go.data import goes_latest\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "\n",
    "# Download a GOES ABI dataset\n",
    "G = goes_latest(product=\"ABI\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.feature_artist.FeatureArtist at 0x2b33788405b0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Make figure on Cartopy axes\n",
    "ax = plt.subplot(projection=G.rgb.crs)\n",
    "ax.imshow(G.rgb.TrueColor(), **G.rgb.imshow_kwargs)\n",
    "ax.coastlines()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cartopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.18.0'"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cartopy.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📦 Finished downloading [1] files to [/p/cwfs/blaylock/data/noaa-goes16/ABI-L2-MCMIPC].\n",
      "📚 Finished reading [1] files into xarray.Dataset.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.feature_artist.FeatureArtist at 0x2b33bbb1c970>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from goes2go.data import goes_latest\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "\n",
    "# Download a GOES ABI dataset\n",
    "G = goes_latest(product=\"ABI\")\n",
    "\n",
    "# Make figure on Cartopy axes\n",
    "ax = plt.subplot(projection=G.rgb.crs)\n",
    "ax.imshow(G.rgb.TrueColor(), **G.rgb.imshow_kwargs)\n",
    "ax.coastlines()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "2f321337560ba2beff5da0d63c595770b11e27bac7ddc011784eb42ad993ef95"
  },
  "kernelspec": {
   "display_name": "Python 3.9.2 ('goes2go')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}