docs/user_guide/notebooks/DEMO_total-precipitable-water.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "035efd04-ead5-45e0-8b2c-1f0d58290ffd",
   "metadata": {},
   "source": [
    "# GOES Total Precipitable Water\n",
    "`ABI-L2-TPWF` is not an RGB prodcut, it is a Level 2 *derived* product."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "26100f36-2d6c-40fd-ae6f-5a8174415d93",
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "from toolbox.cartopy_tools import (\n",
    "    common_features,\n",
    ")  # <-- This is from https://github.com/blaylockbk/Carpenter_Workshop\n",
    "import matplotlib.pyplot as plt\n",
    "from goes2go.data import goes_nearesttime, goes_latest\n",
    "from goes2go.tools import abi_crs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a341b10b-b735-4c3f-97d8-2c193478d986",
   "metadata": {},
   "source": [
    "# TPW CONUS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bc701b1c-c9b5-4e2f-9a04-ae255e16a69e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " _______________________________\n",
      " | Satellite: noaa-goes16      |\n",
      " |   Product: ABI-L2-TPWC      |\n",
      " |    Domain: C                |\n",
      "📦 Finished downloading [1] files to [/p/cwfs/blaylock/data/noaa-goes16/ABI-L2-TPWC].\n",
      "📚 Finished reading [1] files into xarray.Dataset.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.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;\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: 300, x: 500, number_of_time_bounds: 2, number_of_image_bounds: 2, number_of_LZA_bounds: 2, number_of_SZA_bounds: 2, number_of_lat_bounds: 2, sounding_emissive_bands: 7)\n",
       "Coordinates: (12/15)\n",
       "    t                                                 datetime64[ns] 2020-12-...\n",
       "  * y                                                 (y) float32 0.1281 ... ...\n",
       "  * x                                                 (x) float32 -0.1012 ......\n",
       "    y_image                                           float32 0.08624\n",
       "    x_image                                           float32 -0.03136\n",
       "    retrieval_local_zenith_angle                      float32 80.0\n",
       "    ...                                                ...\n",
       "    sounding_emissive_wavelengths                     (sounding_emissive_bands) float32 ...\n",
       "    sounding_emissive_band_ids                        (sounding_emissive_bands) int8 ...\n",
       "    dataset_name                                      &lt;U72 &#x27;OR_ABI-L2-TPWC-M6...\n",
       "    date_created                                      &lt;U22 &#x27;2020-12-14T00:05:...\n",
       "    time_coverage_start                               &lt;U22 &#x27;2020-12-14T00:01:...\n",
       "    time_coverage_end                                 &lt;U22 &#x27;2020-12-14T00:03:...\n",
       "Dimensions without coordinates: number_of_time_bounds, number_of_image_bounds, number_of_LZA_bounds, number_of_SZA_bounds, number_of_lat_bounds, sounding_emissive_bands\n",
       "Data variables: (12/30)\n",
       "    TPW                                               (y, x) float32 ...\n",
       "    DQF_Overall                                       (y, x) float32 ...\n",
       "    DQF_Retrieval                                     (y, x) float32 ...\n",
       "    DQF_SkinTemp                                      (y, x) float32 ...\n",
       "    time_bounds                                       (number_of_time_bounds) datetime64[ns] ...\n",
       "    goes_imager_projection                            int32 -2147483647\n",
       "    ...                                                ...\n",
       "    percent_uncorrectable_L0_errors                   float64 0.0\n",
       "    percent_uncorrectable_GRB_errors                  float64 0.0\n",
       "    total_attempted_retrievals                        float64 8.576e+04\n",
       "    mean_obs_modeled_diff_sounding_emissive_bands     (sounding_emissive_bands) float32 ...\n",
       "    std_dev_obs_modeled_diff_sounding_emissive_bands  (sounding_emissive_bands) float32 ...\n",
       "    filename                                          &lt;U108 &#x27;noaa-goes16/ABI-...\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:                        07a697ed-a150-4c8f-b3a9-a00af27a7b20\n",
       "    path:                      [&#x27;noaa-goes16/ABI-L2-TPWC/2020/349/00/OR_ABI-L...</pre><div class='xr-wrap' hidden><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-2e6f6af8-3ae4-46a7-bc5f-88b08b982c1b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2e6f6af8-3ae4-46a7-bc5f-88b08b982c1b' 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>: 300</li><li><span class='xr-has-index'>x</span>: 500</li><li><span>number_of_time_bounds</span>: 2</li><li><span>number_of_image_bounds</span>: 2</li><li><span>number_of_LZA_bounds</span>: 2</li><li><span>number_of_SZA_bounds</span>: 2</li><li><span>number_of_lat_bounds</span>: 2</li><li><span>sounding_emissive_bands</span>: 7</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8fb3fd11-d3ee-4208-809d-8a9bdd8f3245' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8fb3fd11-d3ee-4208-809d-8a9bdd8f3245' 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-ed4d63b4-27dd-4a22-a282-592a20aa827b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed4d63b4-27dd-4a22-a282-592a20aa827b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf62ce13-38cc-487a-9153-522f72896ade' class='xr-var-data-in' type='checkbox'><label for='data-cf62ce13-38cc-487a-9153-522f72896ade' title='Show/Hide data repr'><svg 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>time variable (t) is the mid-point between the start and end image scan in seconds since epoch (2000-01-01 12:00:00)</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;2020-12-14T00:02:26.722499968&#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'>0.1281 0.1278 ... 0.04466 0.04438</div><input id='attrs-a10b8489-4692-49cc-aacd-925019583bff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a10b8489-4692-49cc-aacd-925019583bff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97d0eb19-dcc6-4288-b49f-e952f9248102' class='xr-var-data-in' type='checkbox'><label for='data-97d0eb19-dcc6-4288-b49f-e952f9248102' title='Show/Hide data repr'><svg class='icon xr-icon-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 Projection y-Coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([0.1281 , 0.12782, 0.12754, ..., 0.04494, 0.04466, 0.04438],\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'>-0.1012 -0.1009 ... 0.03822 0.0385</div><input id='attrs-22f84d22-02a3-4a36-997e-3116de0d4388' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22f84d22-02a3-4a36-997e-3116de0d4388' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df95ee9f-5bcf-4490-93e4-be097eac7594' class='xr-var-data-in' type='checkbox'><label for='data-df95ee9f-5bcf-4490-93e4-be097eac7594' title='Show/Hide data repr'><svg class='icon xr-icon-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 Projection x-Coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-0.10122, -0.10094, -0.10066, ...,  0.03794,  0.03822,  0.0385 ],\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-2836e320-50a5-419c-bc06-bf8997263080' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2836e320-50a5-419c-bc06-bf8997263080' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e30094c-f08b-4910-96ce-12c74cc6f3ea' class='xr-var-data-in' type='checkbox'><label for='data-9e30094c-f08b-4910-96ce-12c74cc6f3ea' title='Show/Hide data repr'><svg 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(0.08624, 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-2e078c2f-3113-4853-a702-b11ee346b5f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e078c2f-3113-4853-a702-b11ee346b5f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdd769d5-dcec-491c-ba6a-393cef6d6909' class='xr-var-data-in' type='checkbox'><label for='data-fdd769d5-dcec-491c-ba6a-393cef6d6909' title='Show/Hide data repr'><svg 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(-0.03136, 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-ef606615-e32a-44ea-a100-77c448264237' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef606615-e32a-44ea-a100-77c448264237' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81a4c39a-ec6f-4e7c-89b9-f60c820c24fa' class='xr-var-data-in' type='checkbox'><label for='data-81a4c39a-ec6f-4e7c-89b9-f60c820c24fa' title='Show/Hide data repr'><svg 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 total precipitable water, vertical moisture profile, vertical temperature profile and derived stability indices 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(80., 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-8ef1355d-ec79-414d-8edb-7bdd78455fa6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ef1355d-ec79-414d-8edb-7bdd78455fa6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b74dbe16-d7f8-4a33-acef-65665158aa46' class='xr-var-data-in' type='checkbox'><label for='data-b74dbe16-d7f8-4a33-acef-65665158aa46' title='Show/Hide data repr'><svg 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 total precipitable water, vertical moisture profile, vertical temperature profile and derived stability indices 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>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-7dc161d8-b32e-43c8-9dec-f02dd8f79964' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7dc161d8-b32e-43c8-9dec-f02dd8f79964' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b8cc682-48df-4583-b7f0-de9ac9f05de6' class='xr-var-data-in' type='checkbox'><label for='data-2b8cc682-48df-4583-b7f0-de9ac9f05de6' title='Show/Hide data repr'><svg 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 total precipitable water, vertical moisture profile, vertical temperature profile and derived stability indices 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>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>latitude</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-f29d33d2-c46a-4a73-8b7c-7697c3c7924c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f29d33d2-c46a-4a73-8b7c-7697c3c7924c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c057c69-e08f-4954-a852-4bc346a33052' class='xr-var-data-in' type='checkbox'><label for='data-9c057c69-e08f-4954-a852-4bc346a33052' title='Show/Hide data repr'><svg 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 latitude for assigning overall quality flag of good to product data</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>latitude_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>sounding_emissive_wavelengths</span></div><div class='xr-var-dims'>(sounding_emissive_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c0d5f547-7694-45f3-ad1d-69a627a0eec7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0d5f547-7694-45f3-ad1d-69a627a0eec7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2019192-1152-4e51-84e8-701545fcf291' class='xr-var-data-in' type='checkbox'><label for='data-b2019192-1152-4e51-84e8-701545fcf291' title='Show/Hide data repr'><svg 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 central emissive wavelengths used to generate this Sounding product</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([ 6.17,  6.93,  7.34, 10.33, 11.19, 12.27, 13.27], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sounding_emissive_band_ids</span></div><div class='xr-var-dims'>(sounding_emissive_bands)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6f14ee1b-b9f0-4426-b56f-e7ae79d60507' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f14ee1b-b9f0-4426-b56f-e7ae79d60507' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fb48d5d-b144-4236-b42e-c28bf0c0d02d' class='xr-var-data-in' type='checkbox'><label for='data-3fb48d5d-b144-4236-b42e-c28bf0c0d02d' title='Show/Hide data repr'><svg 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 used to generate this Sounding product</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([ 8,  9, 10, 13, 14, 15, 16], 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-TPWC-M6_G16_s20203490...</div><input id='attrs-6064807e-f6fe-45ec-be02-cef23e4c915e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6064807e-f6fe-45ec-be02-cef23e4c915e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf50190e-bba9-4e55-86c1-90ff816a7523' class='xr-var-data-in' type='checkbox'><label for='data-bf50190e-bba9-4e55-86c1-90ff816a7523' title='Show/Hide data 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-TPWC-M6_G16_s20203490001080_e20203490003453_c20203490005368.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;2020-12-14T00:05:36.8Z&#x27;</div><input id='attrs-279ffc0d-4263-4357-bab8-c185905b3f92' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-279ffc0d-4263-4357-bab8-c185905b3f92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91124520-30cd-4d67-b7de-317345bf56df' class='xr-var-data-in' type='checkbox'><label for='data-91124520-30cd-4d67-b7de-317345bf56df' title='Show/Hide data 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;2020-12-14T00:05:36.8Z&#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;2020-12-14T00:01:08.0Z&#x27;</div><input id='attrs-bda96b0d-937a-4449-9132-b0e6c771149b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bda96b0d-937a-4449-9132-b0e6c771149b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52c5d23e-155b-402f-a4ba-7f5ff4d8291f' class='xr-var-data-in' type='checkbox'><label for='data-52c5d23e-155b-402f-a4ba-7f5ff4d8291f' title='Show/Hide data 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;2020-12-14T00:01:08.0Z&#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;2020-12-14T00:03:45.3Z&#x27;</div><input id='attrs-c51b70d8-5dd2-49cc-aae1-2a76298f7c9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c51b70d8-5dd2-49cc-aae1-2a76298f7c9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-009230a4-1477-49c5-83f0-3df586966bc1' class='xr-var-data-in' type='checkbox'><label for='data-009230a4-1477-49c5-83f0-3df586966bc1' title='Show/Hide data 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;2020-12-14T00:03:45.3Z&#x27;, dtype=&#x27;&lt;U22&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-09a11fae-14d2-4524-bc95-f83e83c073d5' class='xr-section-summary-in' type='checkbox'  ><label for='section-09a11fae-14d2-4524-bc95-f83e83c073d5' class='xr-section-summary' >Data variables: <span>(30)</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>TPW</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-aafd28e9-1d22-40e7-91b5-bb7c6310d6fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aafd28e9-1d22-40e7-91b5-bb7c6310d6fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bd88816-e95f-4d2a-b8cd-d9a3ecd3326c' class='xr-var-data-in' type='checkbox'><label for='data-7bd88816-e95f-4d2a-b8cd-d9a3ecd3326c' title='Show/Hide data repr'><svg 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+ Total Precipitable Water</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>valid_range :</span></dt><dd>[    0 65530]</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>resolution :</span></dt><dd>y: 0.000280 rad x: 0.000280 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>latitude: point (good quality pixel produced) retrieval_local_zenith_angle: point (good or degraded quality pixel produced) quantitative_local_zenith_angle: point (good quality pixel produced) solar_zenith_angle: point (good quality pixel produced) t: point area: point</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_Overall DQF_Retrieval DQF_SkinTemp</dd></dl></div><div class='xr-var-data'><pre>[150000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_Overall</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-1ff19768-98b3-460a-94bd-2ac7b5aee39a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ff19768-98b3-460a-94bd-2ac7b5aee39a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2914b888-ecf4-4e7a-abe7-96d8814943ff' class='xr-var-data-in' type='checkbox'><label for='data-2914b888-ecf4-4e7a-abe7-96d8814943ff' title='Show/Hide data repr'><svg 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+ Total Precipitable Water data overall quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[ 0 10]</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>latitude: point retrieval_local_zenith_angle: point quantitative_local_zenith_angle: point solar_zenith_angle: point t: point area: point</dd><dt><span>flag_values :</span></dt><dd>[ 0  1  2  3  4  5  6  7  8  9 10]</dd><dt><span>flag_meanings :</span></dt><dd>good_quality_qf invalid_due_to_not_geolocated_or_retrieval_LZA_threshold_exceeded_qf degraded_due_to_latitude_threshold_exceeded_qf degraded_due_to_quantitative_LZA_threshold_exceeded_qf invalid_due_to_insufficient_clear_pixels_in_field_of_regard_qf invalid_due_to_missing_NWP_data_qf invalid_due_to_missing_L1b_data_or_fatal_processing_error_qf invalid_due_to_bad_NWP_surface_pressure_index_qf invalid_due_to_indeterminate_land_surface_emissivity_qf invalid_due_to_bad_TPW_sigma_pressure_level_index_qf invalid_due_to_occurrence_of_not_a_number_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>11</dd><dt><span>percent_good_quality_qf :</span></dt><dd>0.57263</dd><dt><span>percent_invalid_due_to_not_geolocated_or_retrieval_LZA_threshold_exceeded_qf :</span></dt><dd>0.018473</dd><dt><span>percent_degraded_due_to_latitude_threshold_exceeded_qf :</span></dt><dd>0.0</dd><dt><span>percent_degraded_due_to_quantitative_LZA_threshold_exceeded_qf :</span></dt><dd>0.0061892</dd><dt><span>percent_invalid_due_to_insufficient_clear_pixels_in_field_of_regard_qf :</span></dt><dd>0.4231854</dd><dt><span>percent_invalid_due_to_missing_NWP_data_qf :</span></dt><dd>0.0</dd><dt><span>percent_invalid_due_to_missing_L1b_data_or_fatal_processing_error_qf :</span></dt><dd>0.0</dd><dt><span>percent_invalid_due_to_bad_NWP_surface_pressure_index_qf :</span></dt><dd>0.0</dd><dt><span>percent_invalid_due_to_indeterminate_land_surface_emissivity_qf :</span></dt><dd>2.7e-05</dd><dt><span>percent_invalid_due_to_bad_TPW_sigma_pressure_level_index_qf :</span></dt><dd>0.0</dd><dt><span>percent_invalid_due_to_occurrence_of_not_a_number_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[150000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_Retrieval</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-8715a53c-02f4-41a8-822b-32664e43c4f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8715a53c-02f4-41a8-822b-32664e43c4f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a237d75-383c-4d43-80e7-2c75176b81eb' class='xr-var-data-in' type='checkbox'><label for='data-3a237d75-383c-4d43-80e7-2c75176b81eb' title='Show/Hide data repr'><svg 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+ Total Precipitable Water algorithm atmospheric temperature and water vapor profile physical retrieval quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 5]</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 solar_zenith_angle: point t: point area: point</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4 5]</dd><dt><span>flag_meanings :</span></dt><dd>good_retrieval_qf nonconvergent_retrieval_qf brightness_temp_residual_exceeds_threshold_qf incomplete_convergence_of_retrieval_qf unrealistic_retrieved_value_qf invalid_radiative_transfer_model_brightness_temp_value_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>6</dd><dt><span>percent_good_retrieval_qf :</span></dt><dd>0.5213145</dd><dt><span>percent_nonconvergent_retrieval_qf :</span></dt><dd>0.0014646</dd><dt><span>percent_brightness_temp_residual_exceeds_threshold_qf :</span></dt><dd>0.008484</dd><dt><span>percent_incomplete_convergence_of_retrieval_qf :</span></dt><dd>0.0369393</dd><dt><span>percent_unrealistic_retrieved_value_qf :</span></dt><dd>0.0</dd><dt><span>percent_invalid_radiative_transfer_model_brightness_temp_value_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[150000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_SkinTemp</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-20a92c8b-ba9b-43fc-bc06-1df4f788e6d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20a92c8b-ba9b-43fc-bc06-1df4f788e6d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42e55013-1982-4470-bb36-5a829d03b48f' class='xr-var-data-in' type='checkbox'><label for='data-42e55013-1982-4470-bb36-5a829d03b48f' title='Show/Hide data repr'><svg 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+ Total Precipitable Water algorithm first guess skin temperature quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 2]</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 solar_zenith_angle: point t: point area: point</dd><dt><span>flag_values :</span></dt><dd>[0 1 2]</dd><dt><span>flag_meanings :</span></dt><dd>good_first_guess_skin_temp_qf first_guess_skin_temp_exceeds_upper_threshold_qf first_guess_skin_temp_exceeds_lower_threshold_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>3</dd><dt><span>percent_good_first_guess_skin_temp_qf :</span></dt><dd>0.5440936</dd><dt><span>percent_first_guess_skin_temp_exceeds_upper_threshold_qf :</span></dt><dd>0.0201131</dd><dt><span>percent_first_guess_skin_temp_exceeds_lower_threshold_qf :</span></dt><dd>0.0039956</dd></dl></div><div class='xr-var-data'><pre>[150000 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-b4a0d050-77d9-49c2-b0b9-9e2bc668baba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4a0d050-77d9-49c2-b0b9-9e2bc668baba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc76891e-72ca-4cb5-8260-fa5db877df09' class='xr-var-data-in' type='checkbox'><label for='data-cc76891e-72ca-4cb5-8260-fa5db877df09' title='Show/Hide data repr'><svg 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;2020-12-14T00:01:08.080396032&#x27;, &#x27;2020-12-14T00:03:45.364604032&#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-d375d1e6-3641-4d0a-bdc8-389c85a78110' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d375d1e6-3641-4d0a-bdc8-389c85a78110' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6884de6c-4ccc-4b47-a1c4-35cdd0f359af' class='xr-var-data-in' type='checkbox'><label for='data-6884de6c-4ccc-4b47-a1c4-35cdd0f359af' title='Show/Hide data repr'><svg 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>-75.0</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-241bee81-24af-48d3-a67a-34b169a45f9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-241bee81-24af-48d3-a67a-34b169a45f9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2f55e63-4b2f-4250-8267-3e775481a513' class='xr-var-data-in' type='checkbox'><label for='data-e2f55e63-4b2f-4250-8267-3e775481a513' title='Show/Hide data repr'><svg 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([0.12824, 0.04424], 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-7639a6d9-1744-4bea-b4d7-c90dc59a1557' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7639a6d9-1744-4bea-b4d7-c90dc59a1557' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72153fba-9099-476a-bdce-730c506a0301' class='xr-var-data-in' type='checkbox'><label for='data-72153fba-9099-476a-bdce-730c506a0301' title='Show/Hide data repr'><svg 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([-0.10136,  0.03864], 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-18b60cca-ff86-4500-ae22-b046480988c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18b60cca-ff86-4500-ae22-b046480988c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87b52894-50b6-4826-9e3a-bee2209721bd' class='xr-var-data-in' type='checkbox'><label for='data-87b52894-50b6-4826-9e3a-bee2209721bd' title='Show/Hide data repr'><svg 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-4e003e32-ef9e-4b01-9f52-a0b7d143d127' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e003e32-ef9e-4b01-9f52-a0b7d143d127' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8f2ef55-d2aa-4526-8107-9699afa89784' class='xr-var-data-in' type='checkbox'><label for='data-e8f2ef55-d2aa-4526-8107-9699afa89784' title='Show/Hide data repr'><svg 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(-75.199997)</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-1ebff47e-ab17-4879-a504-01fcb802cac2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ebff47e-ab17-4879-a504-01fcb802cac2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f30c4c1d-040a-4a26-b5e7-39dd8fa55c5c' class='xr-var-data-in' type='checkbox'><label for='data-f30c4c1d-040a-4a26-b5e7-39dd8fa55c5c' title='Show/Hide data repr'><svg 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-77bad97e-21ba-4407-8e3e-aea666681226' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77bad97e-21ba-4407-8e3e-aea666681226' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26ad9889-f3dc-49ea-bf00-d92e00caf127' class='xr-var-data-in' type='checkbox'><label for='data-26ad9889-f3dc-49ea-bf00-d92e00caf127' title='Show/Hide data repr'><svg 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>-152.10928</dd><dt><span>geospatial_northbound_latitude :</span></dt><dd>56.76145</dd><dt><span>geospatial_eastbound_longitude :</span></dt><dd>-52.94688</dd><dt><span>geospatial_southbound_latitude :</span></dt><dd>14.57134</dd><dt><span>geospatial_lat_center :</span></dt><dd>30.083002</dd><dt><span>geospatial_lon_center :</span></dt><dd>-87.096954</dd><dt><span>geospatial_lat_nadir :</span></dt><dd>0.0</dd><dt><span>geospatial_lon_nadir :</span></dt><dd>-75.0</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>outlier_pixel_count</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-9651e252-38d2-4bb5-a685-a543211a1d49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9651e252-38d2-4bb5-a685-a543211a1d49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcd01668-8d99-413f-ab18-7433e287d455' class='xr-var-data-in' type='checkbox'><label for='data-bcd01668-8d99-413f-ab18-7433e287d455' title='Show/Hide data repr'><svg 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 total precipitable water pixels whose value is outside valid measurement range</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>latitude: sum retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: sum (interval: 0.000280 rad comment: good and degraded due to quantitative LZA threshold exceeded quality pixels whose values are outside valid measurement range 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>minimum_total_precipitable_water</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-842579b3-75a3-47ed-89fc-0f1815c6cb53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-842579b3-75a3-47ed-89fc-0f1815c6cb53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-406b2303-c636-428e-84e8-e05d4a2d5efb' class='xr-var-data-in' type='checkbox'><label for='data-406b2303-c636-428e-84e8-e05d4a2d5efb' title='Show/Hide data repr'><svg 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 total precipitable water</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>valid_range :</span></dt><dd>[  0. 100.]</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>latitude: sum retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: minimum (interval: 0.000280 rad comment: good and degraded due to quantitative LZA threshold exceeded quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(0.722243)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maximum_total_precipitable_water</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-41f95f43-9dc1-44bc-b15d-e1c0d2f93967' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41f95f43-9dc1-44bc-b15d-e1c0d2f93967' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be1d047b-4075-42aa-968e-540ea7ed9d7a' class='xr-var-data-in' type='checkbox'><label for='data-be1d047b-4075-42aa-968e-540ea7ed9d7a' title='Show/Hide data repr'><svg 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 total precipitable water</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>valid_range :</span></dt><dd>[  0. 100.]</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>latitude: sum retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: maximum (interval: 0.000280 rad comment: good and degraded due to quantitative LZA threshold exceeded quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(48.375961)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_total_precipitable_water</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-f3c428be-bfa4-4288-a50b-d1dd1e08d052' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3c428be-bfa4-4288-a50b-d1dd1e08d052' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffcc853a-e962-4d9d-a73d-951ec9d4c22c' class='xr-var-data-in' type='checkbox'><label for='data-ffcc853a-e962-4d9d-a73d-951ec9d4c22c' title='Show/Hide data repr'><svg 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 total precipitable water</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>valid_range :</span></dt><dd>[  0. 100.]</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>latitude: sum retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: mean (interval: 0.000280 rad comment: good and degraded due to quantitative LZA threshold exceeded quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(23.279434)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>standard_deviation_total_precipitable_water</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-9925a85d-718b-4c10-9eff-05b225d8d779' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9925a85d-718b-4c10-9eff-05b225d8d779' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-911929f4-9406-4fd3-8746-d890beb4cf05' class='xr-var-data-in' type='checkbox'><label for='data-911929f4-9406-4fd3-8746-d890beb4cf05' title='Show/Hide data repr'><svg 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 total precipitable water values</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>latitude: sum retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: standard_deviation (interval: 0.000280 rad comment: good and degraded due to quantitative LZA threshold exceeded quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(12.999699)</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-0d06760c-fc5f-4af2-9dfc-4f6b743fbc58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d06760c-fc5f-4af2-9dfc-4f6b743fbc58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60a257a9-b70c-4265-b37e-5cbfb90705ba' class='xr-var-data-in' type='checkbox'><label for='data-60a257a9-b70c-4265-b37e-5cbfb90705ba' title='Show/Hide data repr'><svg 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_brightness_temperature_band_7_2km_data :</span></dt><dd>OR_ABI-L2-CMIPC-M6C07_G16_s20203490001080_e20203490003453_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_8_2km_data :</span></dt><dd>OR_ABI-L2-CMIPC-M6C08_G16_s20203490001080_e20203490003453_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_9_2km_data :</span></dt><dd>OR_ABI-L2-CMIPC-M6C09_G16_s20203490001080_e20203490003453_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_10_2km_data :</span></dt><dd>OR_ABI-L2-CMIPC-M6C10_G16_s20203490001080_e20203490003453_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_11_2km_data :</span></dt><dd>OR_ABI-L2-CMIPC-M6C11_G16_s20203490001080_e20203490003453_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_12_2km_data :</span></dt><dd>OR_ABI-L2-CMIPC-M6C12_G16_s20203490001080_e20203490003453_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_13_2km_data :</span></dt><dd>OR_ABI-L2-CMIPC-M6C13_G16_s20203490001080_e20203490003453_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_14_2km_data :</span></dt><dd>OR_ABI-L2-CMIPC-M6C14_G16_s20203490001080_e20203490003453_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_15_2km_data :</span></dt><dd>OR_ABI-L2-CMIPC-M6C15_G16_s20203490001080_e20203490003453_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_16_2km_data :</span></dt><dd>OR_ABI-L2-CMIPC-M6C16_G16_s20203490001080_e20203490003453_c*.nc</dd><dt><span>input_ABI_L2_intermediate_product_4_level_cloud_mask_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_surface_pressure_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_temperature_profile_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_moisture_profile_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_wind_vector_profile_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_surface_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-a978cebb-c5e0-4a34-a4f3-623a8d7ff8fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a978cebb-c5e0-4a34-a4f3-623a8d7ff8fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d295e66-27ae-4fc4-b44b-fe5feb9ec298' class='xr-var-data-in' type='checkbox'><label for='data-9d295e66-27ae-4fc4-b44b-fe5feb9ec298' title='Show/Hide data repr'><svg 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-LAP_v01r00.zip, OR-PARM-SEMISTATIC_v01r00.zip, OR-PARM-ANCILLARY_v01r00.zip, OR-PARM-AUXILIARY_v01r00.zip, OR-PARM-CRTM_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-07e2c397-296d-4144-acb6-409c0683048f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07e2c397-296d-4144-acb6-409c0683048f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a5fd764-c284-44dc-9d57-6b4b7388ff43' class='xr-var-data-in' type='checkbox'><label for='data-4a5fd764-c284-44dc-9d57-6b4b7388ff43' title='Show/Hide data repr'><svg 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-LAP_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-bf80af51-f939-4543-bc81-6846299c5ea0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf80af51-f939-4543-bc81-6846299c5ea0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c4f8a6b-7125-4744-9286-2568220b7cb2' class='xr-var-data-in' type='checkbox'><label for='data-8c4f8a6b-7125-4744-9286-2568220b7cb2' title='Show/Hide data repr'><svg 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 total precipitable water, vertical moisture profile, vertical temperature profile and derived stability indices data is produced</dd></dl></div><div class='xr-var-data'><pre>array([ 0., 80.], 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-1ba8c94a-aae5-4c4e-9b5c-05e3b412791e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ba8c94a-aae5-4c4e-9b5c-05e3b412791e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffcfe141-79bc-4545-894f-2eeda400dfab' class='xr-var-data-in' type='checkbox'><label for='data-ffcfe141-79bc-4545-894f-2eeda400dfab' title='Show/Hide data repr'><svg 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 total precipitable water, vertical moisture profile, vertical temperature profile and derived stability indices 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>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-a6d40bae-6695-48c3-91e6-423421b42196' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6d40bae-6695-48c3-91e6-423421b42196' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b97e507e-4aa7-4ff9-a421-e1c14856ef3c' class='xr-var-data-in' type='checkbox'><label for='data-b97e507e-4aa7-4ff9-a421-e1c14856ef3c' title='Show/Hide data repr'><svg 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 total precipitable water, vertical moisture profile, vertical temperature profile and derived stability indices 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>latitude_bounds</span></div><div class='xr-var-dims'>(number_of_lat_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-99733781-ea36-43c4-bc03-157ff1144322' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99733781-ea36-43c4-bc03-157ff1144322' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec47ecff-1be0-4c21-8d22-3215eeeedf88' class='xr-var-data-in' type='checkbox'><label for='data-ec47ecff-1be0-4c21-8d22-3215eeeedf88' title='Show/Hide data repr'><svg 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>latitude range for assigning overall quality flag of good to product data</dd></dl></div><div class='xr-var-data'><pre>array([-70.,  70.], dtype=float32)</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-2f4fefcd-b31a-4382-9c82-d282fc443319' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f4fefcd-b31a-4382-9c82-d282fc443319' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11a7db96-4b17-44ff-aa3e-d6bf4a297b7f' class='xr-var-data-in' type='checkbox'><label for='data-11a7db96-4b17-44ff-aa3e-d6bf4a297b7f' title='Show/Hide data repr'><svg 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>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-c6e97ee1-c409-494e-b658-a575acc4954e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6e97ee1-c409-494e-b658-a575acc4954e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bc23d17-185a-4c16-9cb2-70d1e66b5297' class='xr-var-data-in' type='checkbox'><label for='data-9bc23d17-185a-4c16-9cb2-70d1e66b5297' title='Show/Hide data repr'><svg 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>total_attempted_retrievals</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-9b6dc5d1-c5bc-4fdf-8112-1e3bbd56f1e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b6dc5d1-c5bc-4fdf-8112-1e3bbd56f1e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9db9beb-8d96-4359-bb68-02ecdf8b8a17' class='xr-var-data-in' type='checkbox'><label for='data-e9db9beb-8d96-4359-bb68-02ecdf8b8a17' title='Show/Hide data repr'><svg 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 attempted sounding algorithm retrievals</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>retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: sum (interval: 0.000280 rad comment: geolocated/not missing pixels only</dd></dl></div><div class='xr-var-data'><pre>array(85759.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_obs_modeled_diff_sounding_emissive_bands</span></div><div class='xr-var-dims'>(sounding_emissive_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d32de8c6-9dd3-46b8-b9d5-42b6ee9728c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d32de8c6-9dd3-46b8-b9d5-42b6ee9728c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4742d1d2-5c3f-4c75-932e-becade34bdef' class='xr-var-data-in' type='checkbox'><label for='data-4742d1d2-5c3f-4c75-932e-becade34bdef' title='Show/Hide data repr'><svg 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) for the emissive band central wavelengths used in the generation of this Sounding product</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>retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: mean (interval: 0.000280 rad comment: geolocated/not missing pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([-0.337454,  0.485801, -0.59802 , -0.02091 , -0.048114, -0.43329 ,\n",
       "       -1.010593], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_obs_modeled_diff_sounding_emissive_bands</span></div><div class='xr-var-dims'>(sounding_emissive_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0186c831-1409-4bcf-b354-4a574916afda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0186c831-1409-4bcf-b354-4a574916afda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b90cf94-9410-4c74-ac8a-1b0b093e4de9' class='xr-var-data-in' type='checkbox'><label for='data-2b90cf94-9410-4c74-ac8a-1b0b093e4de9' title='Show/Hide data repr'><svg 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) for the emissive band central wavelengths used in the generation of this Sounding product</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>retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: standard_deviation (interval: 0.000280 rad comment: geolocated/not missing pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([1.025441, 0.959408, 0.794338, 0.719077, 0.788357, 0.851414, 0.647595],\n",
       "      dtype=float32)</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-goes16/ABI-L2-TPWC/2020/34...</div><input id='attrs-deb37eea-d6e0-4bfe-89cc-0d829a88a133' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-deb37eea-d6e0-4bfe-89cc-0d829a88a133' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b659b060-c2aa-44f7-95a8-7e9d11e5df71' class='xr-var-data-in' type='checkbox'><label for='data-b659b060-c2aa-44f7-95a8-7e9d11e5df71' title='Show/Hide data 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-goes16/ABI-L2-TPWC/2020/349/00/OR_ABI-L2-TPWC-M6_G16_s20203490001080_e20203490003453_c20203490005368.nc&#x27;,\n",
       "      dtype=&#x27;&lt;U108&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-38139b72-b25a-4e39-bc2b-d43a1efe3f43' class='xr-section-summary-in' type='checkbox'  ><label for='section-38139b72-b25a-4e39-bc2b-d43a1efe3f43' 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>10km at nadir</dd><dt><span>orbital_slot :</span></dt><dd>GOES-East</dd><dt><span>platform_ID :</span></dt><dd>G16</dd><dt><span>instrument_type :</span></dt><dd>GOES R Series Advanced Baseline Imager</dd><dt><span>scene_id :</span></dt><dd>CONUS</dd><dt><span>instrument_ID :</span></dt><dd>FM1</dd><dt><span>iso_series_metadata_id :</span></dt><dd>42511480-afef-11e1-afa6-0800200c9a66</dd><dt><span>title :</span></dt><dd>ABI L2 Total Precipitable Water</dd><dt><span>summary :</span></dt><dd>The Total Precipitable Water product consists of the water depth if it were condensed in the atmospheric column between approximately 300 hPa and the surface. The product is generated using a regression retrieval followed by an iterative physical retrieval that makes use of a radiative transfer model. Product data is generated both day and night.</dd><dt><span>keywords :</span></dt><dd>ATMOSPHERE &gt; ATMOSPHERIC WATER VAPOR &gt; PRECIPITABLE WATER</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>07a697ed-a150-4c8f-b3a9-a00af27a7b20</dd><dt><span>path :</span></dt><dd>[&#x27;noaa-goes16/ABI-L2-TPWC/2020/349/00/OR_ABI-L2-TPWC-M6_G16_s20203490001080_e20203490003453_c20203490005368.nc&#x27;]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                                           (y: 300, x: 500, number_of_time_bounds: 2, number_of_image_bounds: 2, number_of_LZA_bounds: 2, number_of_SZA_bounds: 2, number_of_lat_bounds: 2, sounding_emissive_bands: 7)\n",
       "Coordinates: (12/15)\n",
       "    t                                                 datetime64[ns] ...\n",
       "  * y                                                 (y) float32 0.1281 ... ...\n",
       "  * x                                                 (x) float32 -0.1012 ......\n",
       "    y_image                                           float32 ...\n",
       "    x_image                                           float32 ...\n",
       "    retrieval_local_zenith_angle                      float32 ...\n",
       "    ...                                                ...\n",
       "    sounding_emissive_wavelengths                     (sounding_emissive_bands) float32 ...\n",
       "    sounding_emissive_band_ids                        (sounding_emissive_bands) int8 ...\n",
       "    dataset_name                                      <U72 'OR_ABI-L2-TPWC-M6...\n",
       "    date_created                                      <U22 '2020-12-14T00:05:...\n",
       "    time_coverage_start                               <U22 '2020-12-14T00:01:...\n",
       "    time_coverage_end                                 <U22 '2020-12-14T00:03:...\n",
       "Dimensions without coordinates: number_of_time_bounds, number_of_image_bounds, number_of_LZA_bounds, number_of_SZA_bounds, number_of_lat_bounds, sounding_emissive_bands\n",
       "Data variables: (12/30)\n",
       "    TPW                                               (y, x) float32 ...\n",
       "    DQF_Overall                                       (y, x) float32 ...\n",
       "    DQF_Retrieval                                     (y, x) float32 ...\n",
       "    DQF_SkinTemp                                      (y, x) float32 ...\n",
       "    time_bounds                                       (number_of_time_bounds) datetime64[ns] ...\n",
       "    goes_imager_projection                            int32 ...\n",
       "    ...                                                ...\n",
       "    percent_uncorrectable_L0_errors                   float32 ...\n",
       "    percent_uncorrectable_GRB_errors                  float32 ...\n",
       "    total_attempted_retrievals                        float64 ...\n",
       "    mean_obs_modeled_diff_sounding_emissive_bands     (sounding_emissive_bands) float32 ...\n",
       "    std_dev_obs_modeled_diff_sounding_emissive_bands  (sounding_emissive_bands) float32 ...\n",
       "    filename                                          <U108 'noaa-goes16/ABI-...\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:                        07a697ed-a150-4c8f-b3a9-a00af27a7b20\n",
       "    path:                      ['noaa-goes16/ABI-L2-TPWC/2020/349/00/OR_ABI-L..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = goes_nearesttime(\"2020-12-14\", product=\"ABI-L2-TPW\", domain=\"C\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6cc962d5-b670-46b9-955a-42a3d1243ecf",
   "metadata": {},
   "outputs": [],
   "source": [
    "crs, x, y = abi_crs(ds, \"TPW\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "93799396-ea9d-446c-b9d5-55826ebf4abb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '00:02 UTC 14 Dec 2020')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = (\n",
    "    common_features(\"50m\", crs=crs, figsize=[10, 8], dark=True)\n",
    "    .STATES()\n",
    "    .OCEAN()\n",
    "    .LAND()\n",
    "    .ax\n",
    ")\n",
    "c = ax.pcolormesh(x, y, ds.TPW, transform=crs, cmap=\"Greens\", vmin=0)\n",
    "plt.colorbar(\n",
    "    c,\n",
    "    ax=ax,\n",
    "    shrink=0.8,\n",
    "    pad=0.01,\n",
    "    orientation=\"horizontal\",\n",
    "    label=f\"{ds.TPW.long_name}\\n({ds.TPW.units})\",\n",
    ")\n",
    "ax.set_title(f\"{ds.t.dt.strftime('%H:%M UTC %d %b %Y').item()}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4db3efad-e368-4dc2-99ef-02d438a65e12",
   "metadata": {},
   "source": [
    "## TWP Full Disk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "dc07b83f-9bbc-4a4a-ab0c-653b45b435b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " _______________________________\n",
      " | Satellite: noaa-goes16      |\n",
      " |   Product: ABI-L2-TPWF      |\n",
      " |    Domain: F                |\n",
      "📦 Finished downloading [1] files to [/p/cwfs/blaylock/data/noaa-goes16/ABI-L2-TPWF].\n",
      "📚 Finished reading [1] files into xarray.Dataset.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.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;\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: 1086, x: 1086, number_of_time_bounds: 2, number_of_image_bounds: 2, number_of_LZA_bounds: 2, number_of_SZA_bounds: 2, number_of_lat_bounds: 2, sounding_emissive_bands: 7)\n",
       "Coordinates: (12/15)\n",
       "    t                                                 datetime64[ns] 2020-12-...\n",
       "  * y                                                 (y) float32 0.1519 ... ...\n",
       "  * x                                                 (x) float32 -0.1519 ......\n",
       "    y_image                                           float32 0.0\n",
       "    x_image                                           float32 0.0\n",
       "    retrieval_local_zenith_angle                      float32 80.0\n",
       "    ...                                                ...\n",
       "    sounding_emissive_wavelengths                     (sounding_emissive_bands) float32 ...\n",
       "    sounding_emissive_band_ids                        (sounding_emissive_bands) int8 ...\n",
       "    dataset_name                                      &lt;U72 &#x27;OR_ABI-L2-TPWF-M6...\n",
       "    date_created                                      &lt;U22 &#x27;2020-12-14T00:10:...\n",
       "    time_coverage_start                               &lt;U22 &#x27;2020-12-14T00:00:...\n",
       "    time_coverage_end                                 &lt;U22 &#x27;2020-12-14T00:09:...\n",
       "Dimensions without coordinates: number_of_time_bounds, number_of_image_bounds, number_of_LZA_bounds, number_of_SZA_bounds, number_of_lat_bounds, sounding_emissive_bands\n",
       "Data variables: (12/30)\n",
       "    TPW                                               (y, x) float32 ...\n",
       "    DQF_Overall                                       (y, x) float32 ...\n",
       "    DQF_Retrieval                                     (y, x) float32 ...\n",
       "    DQF_SkinTemp                                      (y, x) float32 ...\n",
       "    time_bounds                                       (number_of_time_bounds) datetime64[ns] ...\n",
       "    goes_imager_projection                            int32 -2147483647\n",
       "    ...                                                ...\n",
       "    percent_uncorrectable_L0_errors                   float64 0.0\n",
       "    percent_uncorrectable_GRB_errors                  float64 0.0\n",
       "    total_attempted_retrievals                        float64 4.077e+05\n",
       "    mean_obs_modeled_diff_sounding_emissive_bands     (sounding_emissive_bands) float32 ...\n",
       "    std_dev_obs_modeled_diff_sounding_emissive_bands  (sounding_emissive_bands) float32 ...\n",
       "    filename                                          &lt;U108 &#x27;noaa-goes16/ABI-...\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:                        e4eab11a-4da8-454d-903c-07472bed0229\n",
       "    path:                      [&#x27;noaa-goes16/ABI-L2-TPWF/2020/349/00/OR_ABI-L...</pre><div class='xr-wrap' hidden><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-31337ceb-fd4f-451b-ad13-6f4d2524d52f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-31337ceb-fd4f-451b-ad13-6f4d2524d52f' 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>: 1086</li><li><span class='xr-has-index'>x</span>: 1086</li><li><span>number_of_time_bounds</span>: 2</li><li><span>number_of_image_bounds</span>: 2</li><li><span>number_of_LZA_bounds</span>: 2</li><li><span>number_of_SZA_bounds</span>: 2</li><li><span>number_of_lat_bounds</span>: 2</li><li><span>sounding_emissive_bands</span>: 7</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-79dc1061-3602-493d-a644-f4c2c39a8eb6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-79dc1061-3602-493d-a644-f4c2c39a8eb6' 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-9246cec6-9377-48f3-820c-e612c6e3efbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9246cec6-9377-48f3-820c-e612c6e3efbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45160795-b89c-4cea-876a-df3c7271c94e' class='xr-var-data-in' type='checkbox'><label for='data-45160795-b89c-4cea-876a-df3c7271c94e' title='Show/Hide data repr'><svg 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>time variable (t) is the mid-point between the start and end image scan in seconds since epoch (2000-01-01 12:00:00)</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;2020-12-14T00:04:56.709048064&#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'>0.1519 0.1516 ... -0.1516 -0.1519</div><input id='attrs-3648caaf-c7aa-4023-aab7-8815152cfcc5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3648caaf-c7aa-4023-aab7-8815152cfcc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20085a59-10e4-400b-8837-77f552a626a2' class='xr-var-data-in' type='checkbox'><label for='data-20085a59-10e4-400b-8837-77f552a626a2' title='Show/Hide data repr'><svg class='icon xr-icon-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 Projection y-Coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.1519 ,  0.15162,  0.15134, ..., -0.15134, -0.15162, -0.1519 ],\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'>-0.1519 -0.1516 ... 0.1516 0.1519</div><input id='attrs-f574860a-0a37-4a3c-b04f-48fc1260c40b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f574860a-0a37-4a3c-b04f-48fc1260c40b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abbb0edd-588b-49fa-a6b6-a7f681bcab09' class='xr-var-data-in' type='checkbox'><label for='data-abbb0edd-588b-49fa-a6b6-a7f681bcab09' title='Show/Hide data repr'><svg class='icon xr-icon-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 Projection x-Coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-0.1519 , -0.15162, -0.15134, ...,  0.15134,  0.15162,  0.1519 ],\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-3bb23362-1183-4839-910a-18aaed563bee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bb23362-1183-4839-910a-18aaed563bee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dd30726-0a95-4c81-878f-64a4c4a571e5' class='xr-var-data-in' type='checkbox'><label for='data-3dd30726-0a95-4c81-878f-64a4c4a571e5' title='Show/Hide data repr'><svg 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-bea89068-64b4-4ddc-8131-4d0fd99a4a57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bea89068-64b4-4ddc-8131-4d0fd99a4a57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c66d9f5d-69aa-4ffc-8997-6c7b3aef19fc' class='xr-var-data-in' type='checkbox'><label for='data-c66d9f5d-69aa-4ffc-8997-6c7b3aef19fc' title='Show/Hide data repr'><svg 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-c0753bb1-0f74-487e-b0bc-354d9952c1c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0753bb1-0f74-487e-b0bc-354d9952c1c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eddd65b1-d3b5-456e-a4cb-b05432846e91' class='xr-var-data-in' type='checkbox'><label for='data-eddd65b1-d3b5-456e-a4cb-b05432846e91' title='Show/Hide data repr'><svg 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 total precipitable water, vertical moisture profile, vertical temperature profile and derived stability indices 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(80., 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-752990b4-ddfd-4ab7-b233-5e3fae9b3560' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-752990b4-ddfd-4ab7-b233-5e3fae9b3560' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a5bfc4f-5b44-4b5e-9cd5-1f001884c0c0' class='xr-var-data-in' type='checkbox'><label for='data-5a5bfc4f-5b44-4b5e-9cd5-1f001884c0c0' title='Show/Hide data repr'><svg 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 total precipitable water, vertical moisture profile, vertical temperature profile and derived stability indices 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>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-8647d007-5e76-4d27-bc17-0504c53b1e8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8647d007-5e76-4d27-bc17-0504c53b1e8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddcc97d4-30d7-46c9-bdef-536bcb42fbd2' class='xr-var-data-in' type='checkbox'><label for='data-ddcc97d4-30d7-46c9-bdef-536bcb42fbd2' title='Show/Hide data repr'><svg 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 total precipitable water, vertical moisture profile, vertical temperature profile and derived stability indices 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>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>latitude</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-1e009789-d5fc-49fb-b11a-d3fa3705a25e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e009789-d5fc-49fb-b11a-d3fa3705a25e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38c6ca24-60f8-4573-b205-9756adda2710' class='xr-var-data-in' type='checkbox'><label for='data-38c6ca24-60f8-4573-b205-9756adda2710' title='Show/Hide data repr'><svg 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 latitude for assigning overall quality flag of good to product data</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>latitude_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>sounding_emissive_wavelengths</span></div><div class='xr-var-dims'>(sounding_emissive_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ded3bca2-06ca-4195-9e07-596b27bcec9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ded3bca2-06ca-4195-9e07-596b27bcec9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b8d7f52-b166-44f3-b4cc-97310b89d48e' class='xr-var-data-in' type='checkbox'><label for='data-3b8d7f52-b166-44f3-b4cc-97310b89d48e' title='Show/Hide data repr'><svg 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 central emissive wavelengths used to generate this Sounding product</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([ 6.17,  6.93,  7.34, 10.33, 11.19, 12.27, 13.27], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sounding_emissive_band_ids</span></div><div class='xr-var-dims'>(sounding_emissive_bands)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69ff79de-b9d7-4b59-a1f5-343eff07479e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69ff79de-b9d7-4b59-a1f5-343eff07479e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dd79e52-df94-4caa-9f7c-4c0ddcef7553' class='xr-var-data-in' type='checkbox'><label for='data-9dd79e52-df94-4caa-9f7c-4c0ddcef7553' title='Show/Hide data repr'><svg 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 used to generate this Sounding product</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([ 8,  9, 10, 13, 14, 15, 16], 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-TPWF-M6_G16_s20203490...</div><input id='attrs-7f1ddad2-a1c3-4cca-a7bc-df1dd6fa2f18' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f1ddad2-a1c3-4cca-a7bc-df1dd6fa2f18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5148809-3c46-4711-a4ac-addcd5641a2c' class='xr-var-data-in' type='checkbox'><label for='data-a5148809-3c46-4711-a4ac-addcd5641a2c' title='Show/Hide data 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-TPWF-M6_G16_s20203490000113_e20203490009421_c20203490010545.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;2020-12-14T00:10:54.5Z&#x27;</div><input id='attrs-18b5fa37-428a-41f7-b3fc-0ade318f1fc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-18b5fa37-428a-41f7-b3fc-0ade318f1fc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ad7a62a-4a09-461e-bef3-0555847e76d7' class='xr-var-data-in' type='checkbox'><label for='data-8ad7a62a-4a09-461e-bef3-0555847e76d7' title='Show/Hide data 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;2020-12-14T00:10:54.5Z&#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;2020-12-14T00:00:11.3Z&#x27;</div><input id='attrs-3a63986d-46e1-444d-b3a0-32d58e62737e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a63986d-46e1-444d-b3a0-32d58e62737e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e47f4f4-1941-42d2-89e9-38b88805b524' class='xr-var-data-in' type='checkbox'><label for='data-5e47f4f4-1941-42d2-89e9-38b88805b524' title='Show/Hide data 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;2020-12-14T00:00:11.3Z&#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;2020-12-14T00:09:42.1Z&#x27;</div><input id='attrs-30edf720-f65b-44b2-a197-be81e2ba0ce3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-30edf720-f65b-44b2-a197-be81e2ba0ce3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ed6d18a-36cd-405e-8edf-2c215abba2af' class='xr-var-data-in' type='checkbox'><label for='data-6ed6d18a-36cd-405e-8edf-2c215abba2af' title='Show/Hide data 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;2020-12-14T00:09:42.1Z&#x27;, dtype=&#x27;&lt;U22&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-43a9f6fa-5000-445e-a483-1ebeb4db681f' class='xr-section-summary-in' type='checkbox'  ><label for='section-43a9f6fa-5000-445e-a483-1ebeb4db681f' class='xr-section-summary' >Data variables: <span>(30)</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>TPW</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-2842c0b7-4f0f-46d7-a4ba-7f42dc2fefae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2842c0b7-4f0f-46d7-a4ba-7f42dc2fefae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26d8489e-0715-46cd-8d3a-0f0909f4d859' class='xr-var-data-in' type='checkbox'><label for='data-26d8489e-0715-46cd-8d3a-0f0909f4d859' title='Show/Hide data repr'><svg 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+ Total Precipitable Water</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>valid_range :</span></dt><dd>[    0 65530]</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>resolution :</span></dt><dd>y: 0.000280 rad x: 0.000280 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>latitude: point (good quality pixel produced) retrieval_local_zenith_angle: point (good or degraded quality pixel produced) quantitative_local_zenith_angle: point (good quality pixel produced) solar_zenith_angle: point (good quality pixel produced) t: point area: point</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_Overall DQF_Retrieval DQF_SkinTemp</dd></dl></div><div class='xr-var-data'><pre>[1179396 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_Overall</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-d31450cd-d0a4-460a-b75c-758381d77b78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d31450cd-d0a4-460a-b75c-758381d77b78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c048dd9-5a7e-495d-a2eb-84d9780f093d' class='xr-var-data-in' type='checkbox'><label for='data-5c048dd9-5a7e-495d-a2eb-84d9780f093d' title='Show/Hide data repr'><svg 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+ Total Precipitable Water data overall quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[ 0 10]</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>latitude: point retrieval_local_zenith_angle: point quantitative_local_zenith_angle: point solar_zenith_angle: point t: point area: point</dd><dt><span>flag_values :</span></dt><dd>[ 0  1  2  3  4  5  6  7  8  9 10]</dd><dt><span>flag_meanings :</span></dt><dd>good_quality_qf invalid_due_to_not_geolocated_or_retrieval_LZA_threshold_exceeded_qf degraded_due_to_latitude_threshold_exceeded_qf degraded_due_to_quantitative_LZA_threshold_exceeded_qf invalid_due_to_insufficient_clear_pixels_in_field_of_regard_qf invalid_due_to_missing_NWP_data_qf invalid_due_to_missing_L1b_data_or_fatal_processing_error_qf invalid_due_to_bad_NWP_surface_pressure_index_qf invalid_due_to_indeterminate_land_surface_emissivity_qf invalid_due_to_bad_TPW_sigma_pressure_level_index_qf invalid_due_to_occurrence_of_not_a_number_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>11</dd><dt><span>percent_good_quality_qf :</span></dt><dd>0.4154496</dd><dt><span>percent_invalid_due_to_not_geolocated_or_retrieval_LZA_threshold_exceeded_qf :</span></dt><dd>0.1441558</dd><dt><span>percent_degraded_due_to_latitude_threshold_exceeded_qf :</span></dt><dd>0.0</dd><dt><span>percent_degraded_due_to_quantitative_LZA_threshold_exceeded_qf :</span></dt><dd>0.0259768</dd><dt><span>percent_invalid_due_to_insufficient_clear_pixels_in_field_of_regard_qf :</span></dt><dd>0.5382467</dd><dt><span>percent_invalid_due_to_missing_NWP_data_qf :</span></dt><dd>0.0</dd><dt><span>percent_invalid_due_to_missing_L1b_data_or_fatal_processing_error_qf :</span></dt><dd>7.6e-06</dd><dt><span>percent_invalid_due_to_bad_NWP_surface_pressure_index_qf :</span></dt><dd>0.0</dd><dt><span>percent_invalid_due_to_indeterminate_land_surface_emissivity_qf :</span></dt><dd>2.38e-05</dd><dt><span>percent_invalid_due_to_bad_TPW_sigma_pressure_level_index_qf :</span></dt><dd>0.0</dd><dt><span>percent_invalid_due_to_occurrence_of_not_a_number_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1179396 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_Retrieval</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-fc207374-5d6e-42ad-b3a4-747a8be965fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc207374-5d6e-42ad-b3a4-747a8be965fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd47425a-4094-4216-9bd6-707e3e3f9194' class='xr-var-data-in' type='checkbox'><label for='data-fd47425a-4094-4216-9bd6-707e3e3f9194' title='Show/Hide data repr'><svg 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+ Total Precipitable Water algorithm atmospheric temperature and water vapor profile physical retrieval quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 5]</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 solar_zenith_angle: point t: point area: point</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4 5]</dd><dt><span>flag_meanings :</span></dt><dd>good_retrieval_qf nonconvergent_retrieval_qf brightness_temp_residual_exceeds_threshold_qf incomplete_convergence_of_retrieval_qf unrealistic_retrieved_value_qf invalid_radiative_transfer_model_brightness_temp_value_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>6</dd><dt><span>percent_good_retrieval_qf :</span></dt><dd>0.3770719</dd><dt><span>percent_nonconvergent_retrieval_qf :</span></dt><dd>0.0009496</dd><dt><span>percent_brightness_temp_residual_exceeds_threshold_qf :</span></dt><dd>0.0103535</dd><dt><span>percent_incomplete_convergence_of_retrieval_qf :</span></dt><dd>0.0144074</dd><dt><span>percent_unrealistic_retrieved_value_qf :</span></dt><dd>7.6e-06</dd><dt><span>percent_invalid_radiative_transfer_model_brightness_temp_value_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1179396 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_SkinTemp</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-7a5ca007-5491-4f24-9324-0e4249d3d347' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a5ca007-5491-4f24-9324-0e4249d3d347' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f519210e-00cb-4333-b850-04210d9a4f2a' class='xr-var-data-in' type='checkbox'><label for='data-f519210e-00cb-4333-b850-04210d9a4f2a' title='Show/Hide data repr'><svg 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+ Total Precipitable Water algorithm first guess skin temperature quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 2]</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 solar_zenith_angle: point t: point area: point</dd><dt><span>flag_values :</span></dt><dd>[0 1 2]</dd><dt><span>flag_meanings :</span></dt><dd>good_first_guess_skin_temp_qf first_guess_skin_temp_exceeds_upper_threshold_qf first_guess_skin_temp_exceeds_lower_threshold_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>3</dd><dt><span>percent_good_first_guess_skin_temp_qf :</span></dt><dd>0.3721593</dd><dt><span>percent_first_guess_skin_temp_exceeds_upper_threshold_qf :</span></dt><dd>0.0277265</dd><dt><span>percent_first_guess_skin_temp_exceeds_lower_threshold_qf :</span></dt><dd>0.002904</dd></dl></div><div class='xr-var-data'><pre>[1179396 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-a90dc159-669e-4fdf-bed1-b3d2adebadc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a90dc159-669e-4fdf-bed1-b3d2adebadc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d074ff31-b83b-4a29-8af9-1bb2aa3eb5f9' class='xr-var-data-in' type='checkbox'><label for='data-d074ff31-b83b-4a29-8af9-1bb2aa3eb5f9' title='Show/Hide data repr'><svg 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;2020-12-14T00:00:11.309766016&#x27;, &#x27;2020-12-14T00:09:42.108329088&#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-b5650164-acf8-4823-83ce-30718cd90ac1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5650164-acf8-4823-83ce-30718cd90ac1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10e3728c-ee75-4bbb-845b-35a0b63ff72e' class='xr-var-data-in' type='checkbox'><label for='data-10e3728c-ee75-4bbb-845b-35a0b63ff72e' title='Show/Hide data repr'><svg 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>-75.0</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-ba56ec67-1502-4586-aa70-f4e08f684ff7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba56ec67-1502-4586-aa70-f4e08f684ff7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-483a8b28-990b-48e4-9468-62093559c709' class='xr-var-data-in' type='checkbox'><label for='data-483a8b28-990b-48e4-9468-62093559c709' title='Show/Hide data repr'><svg 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-2ddfe3fe-e577-4b45-ab64-a8e87bd39ddf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ddfe3fe-e577-4b45-ab64-a8e87bd39ddf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6d4ea74-98fe-4615-bad8-76a589c22d9b' class='xr-var-data-in' type='checkbox'><label for='data-f6d4ea74-98fe-4615-bad8-76a589c22d9b' title='Show/Hide data repr'><svg 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-d8d0c3be-be75-443f-8d73-ba1c64bdf8be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8d0c3be-be75-443f-8d73-ba1c64bdf8be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da0df815-f386-4836-a72e-4ff14965838d' class='xr-var-data-in' type='checkbox'><label for='data-da0df815-f386-4836-a72e-4ff14965838d' title='Show/Hide data repr'><svg 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-247e04c1-79f7-40b5-960c-c293e4e50ea1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-247e04c1-79f7-40b5-960c-c293e4e50ea1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fcfcda3-7bf0-4f76-8f47-3fca34036a3c' class='xr-var-data-in' type='checkbox'><label for='data-6fcfcda3-7bf0-4f76-8f47-3fca34036a3c' title='Show/Hide data repr'><svg 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(-75.199997)</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-ffcff37f-bb40-4834-bb67-201a1d7b3d69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffcff37f-bb40-4834-bb67-201a1d7b3d69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c4bc8ff-295b-496a-b976-52e086d62045' class='xr-var-data-in' type='checkbox'><label for='data-9c4bc8ff-295b-496a-b976-52e086d62045' title='Show/Hide data repr'><svg 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-54e05fd1-f4aa-4c63-8f84-90797cd7df22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54e05fd1-f4aa-4c63-8f84-90797cd7df22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6de18984-f6fd-48d7-b181-803805f0394f' class='xr-var-data-in' type='checkbox'><label for='data-6de18984-f6fd-48d7-b181-803805f0394f' title='Show/Hide data repr'><svg 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>-156.2995</dd><dt><span>geospatial_northbound_latitude :</span></dt><dd>81.3282</dd><dt><span>geospatial_eastbound_longitude :</span></dt><dd>6.2995</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>-75.0</dd><dt><span>geospatial_lat_nadir :</span></dt><dd>0.0</dd><dt><span>geospatial_lon_nadir :</span></dt><dd>-75.0</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>outlier_pixel_count</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-93271ec5-d06d-434d-89b5-22b910dcbedd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93271ec5-d06d-434d-89b5-22b910dcbedd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6504e54b-de4b-4e90-896a-811f43423d51' class='xr-var-data-in' type='checkbox'><label for='data-6504e54b-de4b-4e90-896a-811f43423d51' title='Show/Hide data repr'><svg 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 total precipitable water pixels whose value is outside valid measurement range</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>latitude: sum retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: sum (interval: 0.000280 rad comment: good and degraded due to quantitative LZA threshold exceeded quality pixels whose values are outside valid measurement range 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>minimum_total_precipitable_water</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-46180180-3023-4444-913d-a9fcf709bfb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46180180-3023-4444-913d-a9fcf709bfb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e0230d8-fbac-4112-b478-5c39702c8983' class='xr-var-data-in' type='checkbox'><label for='data-4e0230d8-fbac-4112-b478-5c39702c8983' title='Show/Hide data repr'><svg 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 total precipitable water</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>valid_range :</span></dt><dd>[  0. 100.]</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>latitude: sum retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: minimum (interval: 0.000280 rad comment: good and degraded due to quantitative LZA threshold exceeded quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(0.669217)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maximum_total_precipitable_water</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-a382d701-a8fb-4c1c-93f8-85571b445683' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a382d701-a8fb-4c1c-93f8-85571b445683' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84e48da0-5f3e-4b8a-9442-a3da6c04032d' class='xr-var-data-in' type='checkbox'><label for='data-84e48da0-5f3e-4b8a-9442-a3da6c04032d' title='Show/Hide data repr'><svg 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 total precipitable water</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>valid_range :</span></dt><dd>[  0. 100.]</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>latitude: sum retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: maximum (interval: 0.000280 rad comment: good and degraded due to quantitative LZA threshold exceeded quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(65.253807)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_total_precipitable_water</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-a08a4e66-b755-4ee4-85bb-17e67ba0b90d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a08a4e66-b755-4ee4-85bb-17e67ba0b90d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64b884fb-1e37-42ba-9184-2ec2e21ffd36' class='xr-var-data-in' type='checkbox'><label for='data-64b884fb-1e37-42ba-9184-2ec2e21ffd36' title='Show/Hide data repr'><svg 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 total precipitable water</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>valid_range :</span></dt><dd>[  0. 100.]</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>latitude: sum retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: mean (interval: 0.000280 rad comment: good and degraded due to quantitative LZA threshold exceeded quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(27.692272)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>standard_deviation_total_precipitable_water</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-6ca302f1-6ab5-4bb1-841b-b6234595b098' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ca302f1-6ab5-4bb1-841b-b6234595b098' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c84e33d-8bc5-49b6-bd32-820e88dd3c20' class='xr-var-data-in' type='checkbox'><label for='data-2c84e33d-8bc5-49b6-bd32-820e88dd3c20' title='Show/Hide data repr'><svg 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 total precipitable water values</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>latitude: sum retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: standard_deviation (interval: 0.000280 rad comment: good and degraded due to quantitative LZA threshold exceeded quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(13.492225)</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-ae2a9e22-feb1-4cd7-bf6b-d38a1558382b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae2a9e22-feb1-4cd7-bf6b-d38a1558382b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a6cfe13-a32b-4a9a-84fe-7e1395bed78b' class='xr-var-data-in' type='checkbox'><label for='data-6a6cfe13-a32b-4a9a-84fe-7e1395bed78b' title='Show/Hide data repr'><svg 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_brightness_temperature_band_7_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C07_G16_s20203490000113_e20203490009421_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_8_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C08_G16_s20203490000113_e20203490009421_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_9_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C09_G16_s20203490000113_e20203490009421_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_10_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C10_G16_s20203490000113_e20203490009421_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_11_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C11_G16_s20203490000113_e20203490009421_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_12_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C12_G16_s20203490000113_e20203490009421_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_13_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C13_G16_s20203490000113_e20203490009421_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_14_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C14_G16_s20203490000113_e20203490009421_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_15_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C15_G16_s20203490000113_e20203490009421_c*.nc</dd><dt><span>input_ABI_L2_brightness_temperature_band_16_2km_data :</span></dt><dd>OR_ABI-L2-CMIPF-M6C16_G16_s20203490000113_e20203490009421_c*.nc</dd><dt><span>input_ABI_L2_intermediate_product_4_level_cloud_mask_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_surface_pressure_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_temperature_profile_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_moisture_profile_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_wind_vector_profile_data :</span></dt><dd>null</dd><dt><span>input_dynamic_ancillary_NWP_surface_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-5d3efda9-774f-43d8-9497-4cf97dbfa181' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d3efda9-774f-43d8-9497-4cf97dbfa181' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d874dffd-b9df-4283-b59e-d775e70d5103' class='xr-var-data-in' type='checkbox'><label for='data-d874dffd-b9df-4283-b59e-d775e70d5103' title='Show/Hide data repr'><svg 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-LAP_v01r00.zip, OR-PARM-SEMISTATIC_v01r00.zip, OR-PARM-ANCILLARY_v01r00.zip, OR-PARM-AUXILIARY_v01r00.zip, OR-PARM-CRTM_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-e98746f6-44dd-430b-8119-f45b75b1925e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e98746f6-44dd-430b-8119-f45b75b1925e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c706b3e-3ad1-460a-89ca-756dec8c4d46' class='xr-var-data-in' type='checkbox'><label for='data-3c706b3e-3ad1-460a-89ca-756dec8c4d46' title='Show/Hide data repr'><svg 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-LAP_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-7f47a459-1b22-4205-a804-16d71c034d26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f47a459-1b22-4205-a804-16d71c034d26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a23b9bc-d46b-4942-9f38-4403a75b0252' class='xr-var-data-in' type='checkbox'><label for='data-7a23b9bc-d46b-4942-9f38-4403a75b0252' title='Show/Hide data repr'><svg 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 total precipitable water, vertical moisture profile, vertical temperature profile and derived stability indices data is produced</dd></dl></div><div class='xr-var-data'><pre>array([ 0., 80.], 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-7f2ffcd2-7ee3-4655-ab4b-133117662d2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f2ffcd2-7ee3-4655-ab4b-133117662d2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e149a05-8de1-4c4d-95a2-19a856807a99' class='xr-var-data-in' type='checkbox'><label for='data-1e149a05-8de1-4c4d-95a2-19a856807a99' title='Show/Hide data repr'><svg 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 total precipitable water, vertical moisture profile, vertical temperature profile and derived stability indices 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>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-d28244fd-e975-4306-9740-dcab38b155c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d28244fd-e975-4306-9740-dcab38b155c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12b3bab1-2dab-4a5d-aa8b-c767bc0e922c' class='xr-var-data-in' type='checkbox'><label for='data-12b3bab1-2dab-4a5d-aa8b-c767bc0e922c' title='Show/Hide data repr'><svg 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 total precipitable water, vertical moisture profile, vertical temperature profile and derived stability indices 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>latitude_bounds</span></div><div class='xr-var-dims'>(number_of_lat_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0f47848a-d915-42f4-a56c-70e288aff717' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f47848a-d915-42f4-a56c-70e288aff717' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66a37c52-5d90-4136-b086-ac93489816c2' class='xr-var-data-in' type='checkbox'><label for='data-66a37c52-5d90-4136-b086-ac93489816c2' title='Show/Hide data repr'><svg 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>latitude range for assigning overall quality flag of good to product data</dd></dl></div><div class='xr-var-data'><pre>array([-70.,  70.], dtype=float32)</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-a48cce3f-79d1-4b62-885b-fcb6c2c01100' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a48cce3f-79d1-4b62-885b-fcb6c2c01100' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a0746de-7088-4ab3-a486-aa96c0aa9ec9' class='xr-var-data-in' type='checkbox'><label for='data-8a0746de-7088-4ab3-a486-aa96c0aa9ec9' title='Show/Hide data repr'><svg 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>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-e2a966ff-6c7e-4b9e-8981-4b324f1b097f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2a966ff-6c7e-4b9e-8981-4b324f1b097f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a330985e-9065-4eab-8c09-80af78a660b8' class='xr-var-data-in' type='checkbox'><label for='data-a330985e-9065-4eab-8c09-80af78a660b8' title='Show/Hide data repr'><svg 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>total_attempted_retrievals</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-12acba14-81d9-49be-8da4-5957e0496e89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12acba14-81d9-49be-8da4-5957e0496e89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc769112-ef32-40f3-94a5-9eca6f0fd68d' class='xr-var-data-in' type='checkbox'><label for='data-cc769112-ef32-40f3-94a5-9eca6f0fd68d' title='Show/Hide data repr'><svg 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 attempted sounding algorithm retrievals</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>retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: sum (interval: 0.000280 rad comment: geolocated/not missing pixels only</dd></dl></div><div class='xr-var-data'><pre>array(407682.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_obs_modeled_diff_sounding_emissive_bands</span></div><div class='xr-var-dims'>(sounding_emissive_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d9bb2df8-9382-4aae-acdc-daafb9fb153d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9bb2df8-9382-4aae-acdc-daafb9fb153d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30fae5fc-29a1-493b-9353-c6a251a53e45' class='xr-var-data-in' type='checkbox'><label for='data-30fae5fc-29a1-493b-9353-c6a251a53e45' title='Show/Hide data repr'><svg 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) for the emissive band central wavelengths used in the generation of this Sounding product</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>retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: mean (interval: 0.000280 rad comment: geolocated/not missing pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([ 0.052707,  0.743839, -0.450023, -0.318673, -0.310954, -0.676081,\n",
       "       -1.089596], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_obs_modeled_diff_sounding_emissive_bands</span></div><div class='xr-var-dims'>(sounding_emissive_bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4375320a-e90c-4c63-a5ac-6dd4d43c9b60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4375320a-e90c-4c63-a5ac-6dd4d43c9b60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8295bb8-5eee-48d8-8177-e84c12ed3f1a' class='xr-var-data-in' type='checkbox'><label for='data-e8295bb8-5eee-48d8-8177-e84c12ed3f1a' title='Show/Hide data repr'><svg 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) for the emissive band central wavelengths used in the generation of this Sounding product</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>retrieval_local_zenith_angle: sum solar_zenith_angle: sum t: sum area: standard_deviation (interval: 0.000280 rad comment: geolocated/not missing pixels only)</dd></dl></div><div class='xr-var-data'><pre>array([1.171488, 1.118285, 0.913385, 0.767696, 0.853697, 0.914093, 0.71145 ],\n",
       "      dtype=float32)</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-goes16/ABI-L2-TPWF/2020/34...</div><input id='attrs-02334533-78da-463f-a1e5-b51150510c13' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-02334533-78da-463f-a1e5-b51150510c13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-206755d4-9550-41b8-a5d4-9a323ee39535' class='xr-var-data-in' type='checkbox'><label for='data-206755d4-9550-41b8-a5d4-9a323ee39535' title='Show/Hide data 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-goes16/ABI-L2-TPWF/2020/349/00/OR_ABI-L2-TPWF-M6_G16_s20203490000113_e20203490009421_c20203490010545.nc&#x27;,\n",
       "      dtype=&#x27;&lt;U108&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae13ede3-bdda-4c57-9173-1c64e6c1f5e4' class='xr-section-summary-in' type='checkbox'  ><label for='section-ae13ede3-bdda-4c57-9173-1c64e6c1f5e4' 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>10km at nadir</dd><dt><span>orbital_slot :</span></dt><dd>GOES-East</dd><dt><span>platform_ID :</span></dt><dd>G16</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>FM1</dd><dt><span>iso_series_metadata_id :</span></dt><dd>42511480-afef-11e1-afa6-0800200c9a66</dd><dt><span>title :</span></dt><dd>ABI L2 Total Precipitable Water</dd><dt><span>summary :</span></dt><dd>The Total Precipitable Water product consists of the water depth if it were condensed in the atmospheric column between approximately 300 hPa and the surface. The product is generated using a regression retrieval followed by an iterative physical retrieval that makes use of a radiative transfer model. Product data is generated both day and night.</dd><dt><span>keywords :</span></dt><dd>ATMOSPHERE &gt; ATMOSPHERIC WATER VAPOR &gt; PRECIPITABLE WATER</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>e4eab11a-4da8-454d-903c-07472bed0229</dd><dt><span>path :</span></dt><dd>[&#x27;noaa-goes16/ABI-L2-TPWF/2020/349/00/OR_ABI-L2-TPWF-M6_G16_s20203490000113_e20203490009421_c20203490010545.nc&#x27;]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                                           (y: 1086, x: 1086, number_of_time_bounds: 2, number_of_image_bounds: 2, number_of_LZA_bounds: 2, number_of_SZA_bounds: 2, number_of_lat_bounds: 2, sounding_emissive_bands: 7)\n",
       "Coordinates: (12/15)\n",
       "    t                                                 datetime64[ns] ...\n",
       "  * y                                                 (y) float32 0.1519 ... ...\n",
       "  * x                                                 (x) float32 -0.1519 ......\n",
       "    y_image                                           float32 ...\n",
       "    x_image                                           float32 ...\n",
       "    retrieval_local_zenith_angle                      float32 ...\n",
       "    ...                                                ...\n",
       "    sounding_emissive_wavelengths                     (sounding_emissive_bands) float32 ...\n",
       "    sounding_emissive_band_ids                        (sounding_emissive_bands) int8 ...\n",
       "    dataset_name                                      <U72 'OR_ABI-L2-TPWF-M6...\n",
       "    date_created                                      <U22 '2020-12-14T00:10:...\n",
       "    time_coverage_start                               <U22 '2020-12-14T00:00:...\n",
       "    time_coverage_end                                 <U22 '2020-12-14T00:09:...\n",
       "Dimensions without coordinates: number_of_time_bounds, number_of_image_bounds, number_of_LZA_bounds, number_of_SZA_bounds, number_of_lat_bounds, sounding_emissive_bands\n",
       "Data variables: (12/30)\n",
       "    TPW                                               (y, x) float32 ...\n",
       "    DQF_Overall                                       (y, x) float32 ...\n",
       "    DQF_Retrieval                                     (y, x) float32 ...\n",
       "    DQF_SkinTemp                                      (y, x) float32 ...\n",
       "    time_bounds                                       (number_of_time_bounds) datetime64[ns] ...\n",
       "    goes_imager_projection                            int32 ...\n",
       "    ...                                                ...\n",
       "    percent_uncorrectable_L0_errors                   float32 ...\n",
       "    percent_uncorrectable_GRB_errors                  float32 ...\n",
       "    total_attempted_retrievals                        float64 ...\n",
       "    mean_obs_modeled_diff_sounding_emissive_bands     (sounding_emissive_bands) float32 ...\n",
       "    std_dev_obs_modeled_diff_sounding_emissive_bands  (sounding_emissive_bands) float32 ...\n",
       "    filename                                          <U108 'noaa-goes16/ABI-...\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:                        e4eab11a-4da8-454d-903c-07472bed0229\n",
       "    path:                      ['noaa-goes16/ABI-L2-TPWF/2020/349/00/OR_ABI-L..."
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = goes_nearesttime(\"2020-12-14\", product=\"ABI-L2-TPWF\", domain=\"F\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5cd52e5c-15f8-4836-9ba0-370a43e12dc6",
   "metadata": {},
   "outputs": [],
   "source": [
    "crs, x, y = abi_crs(ds, \"TPW\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7ec76de9-46b0-441d-95b0-5e4126b86f4d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '00:04 UTC 14 Dec 2020')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = (\n",
    "    common_features(\"50m\", crs=crs, figsize=[12, 12], dark=True)\n",
    "    .STATES()\n",
    "    .OCEAN()\n",
    "    .LAND()\n",
    "    .ax\n",
    ")\n",
    "c = ax.pcolormesh(x, y, ds.TPW, transform=crs, cmap=\"Greens\", vmin=0)\n",
    "plt.colorbar(\n",
    "    c,\n",
    "    ax=ax,\n",
    "    shrink=0.8,\n",
    "    pad=0.01,\n",
    "    orientation=\"horizontal\",\n",
    "    label=f\"{ds.TPW.long_name}\\n({ds.TPW.units})\",\n",
    ")\n",
    "ax.set_title(f\"{ds.t.dt.strftime('%H:%M UTC %d %b %Y').item()}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "992ad152",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}