fire/11_Sentinel5P_L2_CO_explore.ipynb

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    "<img src='../img/LogoWekeo_Copernicus_RGB_0.png' alt='Logo EU Copernicus EUMETSAT' align='right' width='10%'></img>"
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   "source": [
    "# Copernicus Sentinel-5 Precursor (Sentinel-5P) Level 2 Carbon Monoxide - Explore"
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   "source": [
    "This notebooks introduces you to the Sentinel-5P Level 2 Carbon Monoxide (CO) data product. Carbon Monoxide is a good trace gas in order to monitor and track fire occurences. The example in this notebook is based on the Siberian wildfires during summer 2021."
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    "#### Module outline:\n",
    "The notebook has the following outline:\n",
    "* [1 - Unzip downloaded Sentinel-5P data](#unzip_s5p)\n",
    "* [2 - Load and browse Sentinel-5P Level 2 Carbon Monoxide data](#load_s5p)\n",
    "* [3 - Create a geographical subset](#geographical_subset)\n",
    "* [4 - Visualize Sentinel-5P Level 2 Carbon Monoxide data](#plotting_s5p)"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load required libraries"
   ]
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   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "import zipfile\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.axes import Axes\n",
    "\n",
    "import cartopy.crs as ccrs\n",
    "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
    "import cartopy.feature as cfeature\n",
    "from cartopy.mpl.geoaxes import GeoAxes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load helper functions"
   ]
  },
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   "source": [
    "%run ../functions.ipynb"
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    "<hr>"
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   "source": [
    "## <a id='unzip_s5p'></a> Unzip downloaded Sentinel-5P data"
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   "source": [
    "The Sentinel-5P data are disseminated as `NetCDF` files. However, WEkEO distributes the files as zip archives. Hence, the first step is to extract the data files from the zipped archive. You can use the Python package `zipfile` to do so. "
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   "execution_count": 3,
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   "source": [
    "zip_ref = zipfile.ZipFile('./data/S5P_OFFL_L2__CO_____20210812T034159_20210812T052329_19845_02_020200_20210813T173323.nc.zip') \n",
    "zip_ref.extractall('./data/')\n",
    "zip_ref.close()"
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   "source": [
    "## <a id=\"load_s5p\"></a>Load and browse Sentinel-5P Level 2 Carbon Monoxide data"
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   "source": [
    "A Sentinel-5P file is organised in two groups: `PRODUCT` and `METADATA`. The `PRODUCT` group stores the main data fields of the product, including `latitude`, `longitude` and the variable itself. The `METADATA` group provides additional metadata items.\n",
    "\n",
    "Sentinel-5P variables have the following dimensions:\n",
    "* `scanline`: the number of measurements in the granule / along-track dimension index\n",
    "* `ground_pixel`: the number of spectra in a measurement / across-track dimension index\n",
    "* `time`: time reference for the data\n",
    "* `corner`: pixel corner index\n",
    "* `layer`: this dimension indicates the vertical grid of profile variables\n",
    "\n",
    "Sentinel-5P data is disseminated in `NetCDF`. You can load multiple `NetCDF` files at once with the `open_mfdataset()` function of the xarray library. In order to load the variable as part of a Sentinel-5P data files, you have to specify the following keyword arguments: \n",
    "- `group='PRODUCT'`: to load the `PRODUCT` group\n",
    "- `concat_dim='scanline'`: multiple files will be concatenated based on the scanline dimension\n",
    "- `combine=nested`: combine n-dimensional grids into one along each dimension of the grid\n",
    "\n",
    "Let us load a Sentinel-5P Level 2 Carbon Monoxide data file as `xarray.Dataset` and inspect the data structure:"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                                (scanline: 4172, ground_pixel: 215,\n",
       "                                            time: 1, corner: 4, layer: 50)\n",
       "Coordinates:\n",
       "  * scanline                               (scanline) float64 0.0 ... 4.171e+03\n",
       "  * ground_pixel                           (ground_pixel) float64 0.0 ... 214.0\n",
       "  * time                                   (time) datetime64[ns] 2021-08-12\n",
       "  * corner                                 (corner) float64 0.0 1.0 2.0 3.0\n",
       "  * layer                                  (layer) float32 4.95e+04 ... 500.0\n",
       "    latitude                               (time, scanline, ground_pixel) float32 ...\n",
       "    longitude                              (time, scanline, ground_pixel) float32 ...\n",
       "Data variables:\n",
       "    delta_time                             (time, scanline) datetime64[ns] ...\n",
       "    time_utc                               (time, scanline) object ...\n",
       "    qa_value                               (time, scanline, ground_pixel) float32 ...\n",
       "    carbonmonoxide_total_column            (time, scanline, ground_pixel) float32 ...\n",
       "    carbonmonoxide_total_column_precision  (time, scanline, ground_pixel) float32 ...\n",
       "    carbonmonoxide_total_column_corrected  (time, scanline, ground_pixel) float32 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b6232041-25ed-4106-9373-32bd9a74092c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b6232041-25ed-4106-9373-32bd9a74092c' 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'>scanline</span>: 4172</li><li><span class='xr-has-index'>ground_pixel</span>: 215</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>corner</span>: 4</li><li><span class='xr-has-index'>layer</span>: 50</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-04177890-7e43-40d1-a190-d6f8401fcf99' class='xr-section-summary-in' type='checkbox'  checked><label for='section-04177890-7e43-40d1-a190-d6f8401fcf99' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>scanline</span></div><div class='xr-var-dims'>(scanline)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 4.17e+03 4.171e+03</div><input id='attrs-8442f587-d1af-433f-9801-06b6308b8333' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8442f587-d1af-433f-9801-06b6308b8333' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94769710-5b07-4392-9cc1-7dce6685dfe4' class='xr-var-data-in' type='checkbox'><label for='data-94769710-5b07-4392-9cc1-7dce6685dfe4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>along-track dimension index</dd><dt><span>comment :</span></dt><dd>This coordinate variable defines the indices along track; index starts at 0</dd></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 1.000e+00, 2.000e+00, ..., 4.169e+03, 4.170e+03, 4.171e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ground_pixel</span></div><div class='xr-var-dims'>(ground_pixel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 212.0 213.0 214.0</div><input id='attrs-8b2de6a6-8595-4302-b6fc-1bea0074f83f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b2de6a6-8595-4302-b6fc-1bea0074f83f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5af9043-05ae-493a-9ce6-acdb6cd64b25' class='xr-var-data-in' type='checkbox'><label for='data-d5af9043-05ae-493a-9ce6-acdb6cd64b25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>across-track dimension index</dd><dt><span>comment :</span></dt><dd>This coordinate variable defines the indices across track, from west to east; index starts at 0</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2., ..., 212., 213., 214.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-08-12</div><input id='attrs-fb5d4e17-16fc-4b20-bac2-3900785a29cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb5d4e17-16fc-4b20-bac2-3900785a29cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3643fa34-2e89-4dd3-bba9-853f616a1c70' class='xr-var-data-in' type='checkbox'><label for='data-3643fa34-2e89-4dd3-bba9-853f616a1c70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>reference time for the measurements</dd><dt><span>comment :</span></dt><dd>The time in this variable corresponds to the time in the time_reference global attribute</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-08-12T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>corner</span></div><div class='xr-var-dims'>(corner)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0</div><input id='attrs-0ac3aebb-2e74-4af1-8f89-8a07db8d6168' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ac3aebb-2e74-4af1-8f89-8a07db8d6168' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d634366-235c-4891-b197-f6c7710c1398' class='xr-var-data-in' type='checkbox'><label for='data-9d634366-235c-4891-b197-f6c7710c1398' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>pixel corner index</dd><dt><span>comment :</span></dt><dd>This coordinate variable defines the indices for the pixel corners; index starts at 0 (counter-clockwise, starting from south-western corner of the pixel in ascending part of the orbit)</dd></dl></div><div class='xr-var-data'><pre>array([0., 1., 2., 3.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>layer</span></div><div class='xr-var-dims'>(layer)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.95e+04 4.85e+04 ... 1.5e+03 500.0</div><input id='attrs-060767f7-006a-453a-87c5-5773416c3859' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-060767f7-006a-453a-87c5-5773416c3859' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72ab0ae5-6dfe-43f5-80cc-7e9226cab08d' class='xr-var-data-in' type='checkbox'><label for='data-72ab0ae5-6dfe-43f5-80cc-7e9226cab08d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>long_name :</span></dt><dd>Height above topographic surface</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([49500., 48500., 47500., 46500., 45500., 44500., 43500., 42500., 41500.,\n",
       "       40500., 39500., 38500., 37500., 36500., 35500., 34500., 33500., 32500.,\n",
       "       31500., 30500., 29500., 28500., 27500., 26500., 25500., 24500., 23500.,\n",
       "       22500., 21500., 20500., 19500., 18500., 17500., 16500., 15500., 14500.,\n",
       "       13500., 12500., 11500., 10500.,  9500.,  8500.,  7500.,  6500.,  5500.,\n",
       "        4500.,  3500.,  2500.,  1500.,   500.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time, scanline, ground_pixel)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8fc2dbe2-20b2-4388-b382-fae06d02823f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fc2dbe2-20b2-4388-b382-fae06d02823f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc9f983e-9d24-4878-81e4-32cfa83e87e6' class='xr-var-data-in' type='checkbox'><label for='data-bc9f983e-9d24-4878-81e4-32cfa83e87e6' title='Show/Hide data repr'><svg 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>pixel center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>bounds :</span></dt><dd>/PRODUCT/SUPPORT_DATA/GEOLOCATIONS/latitude_bounds</dd></dl></div><div class='xr-var-data'><pre>[896980 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time, scanline, ground_pixel)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0f8e7144-a24f-432e-8dc3-e6382ab7b927' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f8e7144-a24f-432e-8dc3-e6382ab7b927' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0301ebb-27a4-4b9b-bac7-8be4d5783347' class='xr-var-data-in' type='checkbox'><label for='data-b0301ebb-27a4-4b9b-bac7-8be4d5783347' title='Show/Hide data repr'><svg 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>pixel center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>bounds :</span></dt><dd>/PRODUCT/SUPPORT_DATA/GEOLOCATIONS/longitude_bounds</dd></dl></div><div class='xr-var-data'><pre>[896980 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8182b554-373f-4aee-9fe9-94152da66966' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8182b554-373f-4aee-9fe9-94152da66966' class='xr-section-summary' >Data variables: <span>(6)</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>delta_time</span></div><div class='xr-var-dims'>(time, scanline)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7c3233b3-bacd-4f86-af64-05a001179197' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c3233b3-bacd-4f86-af64-05a001179197' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c519a5e-47d2-4ffd-bdba-8e9f8111614c' class='xr-var-data-in' type='checkbox'><label for='data-2c519a5e-47d2-4ffd-bdba-8e9f8111614c' title='Show/Hide data repr'><svg 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>offset of start time of measurement relative to time_reference</dd></dl></div><div class='xr-var-data'><pre>[4172 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_utc</span></div><div class='xr-var-dims'>(time, scanline)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a4ac4415-f4fc-4668-9890-6465009f38b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4ac4415-f4fc-4668-9890-6465009f38b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44b0fb4e-4f4e-4d19-8ddb-867f16855864' class='xr-var-data-in' type='checkbox'><label for='data-44b0fb4e-4f4e-4d19-8ddb-867f16855864' title='Show/Hide data repr'><svg 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 of observation as ISO 8601 date-time string</dd></dl></div><div class='xr-var-data'><pre>[4172 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qa_value</span></div><div class='xr-var-dims'>(time, scanline, ground_pixel)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7570a06a-7ffe-4689-b298-3bf98289f951' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7570a06a-7ffe-4689-b298-3bf98289f951' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b59eb328-0a5b-4923-a2e6-8cfea8556785' class='xr-var-data-in' type='checkbox'><label for='data-b59eb328-0a5b-4923-a2e6-8cfea8556785' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>100</dd><dt><span>long_name :</span></dt><dd>data quality value</dd><dt><span>comment :</span></dt><dd>A continuous quality descriptor, varying between 0 (no data) and 1 (full quality data). Recommend to ignore data with qa_value &lt; 0.5</dd></dl></div><div class='xr-var-data'><pre>[896980 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>carbonmonoxide_total_column</span></div><div class='xr-var-dims'>(time, scanline, ground_pixel)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-502359ca-339b-40f2-8be6-5a73c09002db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-502359ca-339b-40f2-8be6-5a73c09002db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c7ae906-902a-41fa-9d3a-6fdd9408e3a8' class='xr-var-data-in' type='checkbox'><label for='data-3c7ae906-902a-41fa-9d3a-6fdd9408e3a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mol m-2</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mole_content_of_carbon_monoxide</dd><dt><span>long_name :</span></dt><dd>Vertically integrated CO column</dd><dt><span>ancillary_variables :</span></dt><dd>carbonmonoxide_total_column_precision</dd><dt><span>multiplication_factor_to_convert_to_molecules_percm2 :</span></dt><dd>6.022141e+19</dd></dl></div><div class='xr-var-data'><pre>[896980 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>carbonmonoxide_total_column_precision</span></div><div class='xr-var-dims'>(time, scanline, ground_pixel)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cbd8c9e9-9544-435a-a4f9-7e66ebcbadda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbd8c9e9-9544-435a-a4f9-7e66ebcbadda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79482f62-b10a-428a-b5c8-6f29d3d24c5c' class='xr-var-data-in' type='checkbox'><label for='data-79482f62-b10a-428a-b5c8-6f29d3d24c5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mol m-2</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mole_content_of_carbon_monoxide standard_error</dd><dt><span>long_name :</span></dt><dd>Standard error of the vertically integrated CO column</dd><dt><span>multiplication_factor_to_convert_to_molecules_percm2 :</span></dt><dd>6.022141e+19</dd></dl></div><div class='xr-var-data'><pre>[896980 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>carbonmonoxide_total_column_corrected</span></div><div class='xr-var-dims'>(time, scanline, ground_pixel)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-622373db-2ac7-481e-a308-f4f48cc513ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-622373db-2ac7-481e-a308-f4f48cc513ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b822d753-7903-436f-bff3-94e5e23095ca' class='xr-var-data-in' type='checkbox'><label for='data-b822d753-7903-436f-bff3-94e5e23095ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mol m-2</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mole_content_of_carbon_monoxide</dd><dt><span>long_name :</span></dt><dd>carbonmonoxide_total_column - carbonmonoxide_total_column_stripe_offset</dd><dt><span>ancillary_variables :</span></dt><dd>carbonmonoxide_total_column_precision carbonmonoxide_total_column_stripe_offset</dd><dt><span>multiplication_factor_to_convert_to_molecules_percm2 :</span></dt><dd>6.022141e+19</dd></dl></div><div class='xr-var-data'><pre>[896980 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-045c48d5-84a0-4b2f-83ce-5aee794ba334' class='xr-section-summary-in' type='checkbox'  ><label for='section-045c48d5-84a0-4b2f-83ce-5aee794ba334' class='xr-section-summary' >Indexes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>scanline</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1f327554-16e3-4cf3-baa9-d81a3affcc6f' class='xr-index-data-in' type='checkbox'/><label for='index-1f327554-16e3-4cf3-baa9-d81a3affcc6f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([   0.0,    1.0,    2.0,    3.0,    4.0,    5.0,    6.0,    7.0,\n",
       "                 8.0,    9.0,\n",
       "              ...\n",
       "              4162.0, 4163.0, 4164.0, 4165.0, 4166.0, 4167.0, 4168.0, 4169.0,\n",
       "              4170.0, 4171.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;scanline&#x27;, length=4172))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>ground_pixel</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-551882b1-0109-4505-ae00-7f35dd43f9d4' class='xr-index-data-in' type='checkbox'/><label for='index-551882b1-0109-4505-ae00-7f35dd43f9d4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  0.0,   1.0,   2.0,   3.0,   4.0,   5.0,   6.0,   7.0,   8.0,\n",
       "                9.0,\n",
       "              ...\n",
       "              205.0, 206.0, 207.0, 208.0, 209.0, 210.0, 211.0, 212.0, 213.0,\n",
       "              214.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;ground_pixel&#x27;, length=215))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ab069830-069d-4084-852e-d704372577c5' class='xr-index-data-in' type='checkbox'/><label for='index-ab069830-069d-4084-852e-d704372577c5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2021-08-12&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>corner</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-84229887-2851-4ecf-b815-24c64d100d1e' class='xr-index-data-in' type='checkbox'/><label for='index-84229887-2851-4ecf-b815-24c64d100d1e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([0.0, 1.0, 2.0, 3.0], dtype=&#x27;float64&#x27;, name=&#x27;corner&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>layer</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2aac50f5-6b1e-4703-9b1a-dbebe081c3d0' class='xr-index-data-in' type='checkbox'/><label for='index-2aac50f5-6b1e-4703-9b1a-dbebe081c3d0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([49500.0, 48500.0, 47500.0, 46500.0, 45500.0, 44500.0, 43500.0,\n",
       "              42500.0, 41500.0, 40500.0, 39500.0, 38500.0, 37500.0, 36500.0,\n",
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       "               7500.0,  6500.0,  5500.0,  4500.0,  3500.0,  2500.0,  1500.0,\n",
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       "<xarray.Dataset>\n",
       "Dimensions:                                (scanline: 4172, ground_pixel: 215,\n",
       "                                            time: 1, corner: 4, layer: 50)\n",
       "Coordinates:\n",
       "  * scanline                               (scanline) float64 0.0 ... 4.171e+03\n",
       "  * ground_pixel                           (ground_pixel) float64 0.0 ... 214.0\n",
       "  * time                                   (time) datetime64[ns] 2021-08-12\n",
       "  * corner                                 (corner) float64 0.0 1.0 2.0 3.0\n",
       "  * layer                                  (layer) float32 4.95e+04 ... 500.0\n",
       "    latitude                               (time, scanline, ground_pixel) float32 ...\n",
       "    longitude                              (time, scanline, ground_pixel) float32 ...\n",
       "Data variables:\n",
       "    delta_time                             (time, scanline) datetime64[ns] ...\n",
       "    time_utc                               (time, scanline) object ...\n",
       "    qa_value                               (time, scanline, ground_pixel) float32 ...\n",
       "    carbonmonoxide_total_column            (time, scanline, ground_pixel) float32 ...\n",
       "    carbonmonoxide_total_column_precision  (time, scanline, ground_pixel) float32 ...\n",
       "    carbonmonoxide_total_column_corrected  (time, scanline, ground_pixel) float32 ..."
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s5p = xr.open_dataset('./ata/S5P_OFFL_L2__CO_____20210812T034159_20210812T052329_19845_02_020200_20210813T173323/S5P_OFFL_L2__CO_____20210812T034159_20210812T052329_19845_02_020200_20210813T173323.nc', group='PRODUCT')\n",
    "s5p"
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    "You see that a Sentinel-5P Level CO data product file contains of seven coordinate information and six data variables:\n",
    "* **Coordinates**:\n",
    "  * `scanline` \n",
    "  * `ground_pixel`\n",
    "  * `time`\n",
    "  * `corner`\n",
    "  * `layer`\n",
    "  * `latitude`\n",
    "  * `longitude`\n",
    "\n",
    "* **Data variables**:\n",
    "  * `delta_time`: the offset of individual measurements within the granule, given in milliseconds\n",
    "  * `time_utc`: valid time stamp of the data\n",
    "  * `qa_value`: quality descriptor, varying between 0 (nodata) and 1 (full quality data)\n",
    "  * `carbonmonoxide_total_column`: Vertically integrated total column Carbon Monoxide density\n",
    "  * `carbonmonoxide_total_column_precision`: precision of the total column carbon monoxide\n",
    "  * `carbonmonoxide_total_column_corrected`: Precision of the tropospheric vertical column of NO2 when the averaging kernel is applied\n",
    "\n",
    "  "
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    "You can select on data variable of interest and get more detailed information about the variable. E.g. `carbonmonoxide_total_column` is the atmosphere mole content of carbon monoxide, has the unit `mol per m-2`, and has three dimensions, `time`, `scanline` and `ground_pixel` respectively.\n",
    "\n",
    "By specifying one specific data variable, you load extract a `xarray.DataArray`."
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  },
  {
   "cell_type": "code",
   "execution_count": 9,
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       "                                                 ground_pixel: 215)&gt;\n",
       "[896980 values with dtype=float32]\n",
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       "    latitude      (time, scanline, ground_pixel) float32 ...\n",
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       "Attributes:\n",
       "    units:                                                 mol m-2\n",
       "    standard_name:                                         atmosphere_mole_co...\n",
       "    long_name:                                             Vertically integra...\n",
       "    ancillary_variables:                                   carbonmonoxide_tot...\n",
       "    multiplication_factor_to_convert_to_molecules_percm2:  6.022141e+19</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'carbonmonoxide_total_column'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>scanline</span>: 4172</li><li><span class='xr-has-index'>ground_pixel</span>: 215</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6144aa87-12b9-4358-af3a-53ddb8893d82' class='xr-array-in' type='checkbox' checked><label for='section-6144aa87-12b9-4358-af3a-53ddb8893d82' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[896980 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-87279eb2-fca0-4cb6-afaf-ea85c59a6951' class='xr-section-summary-in' type='checkbox'  checked><label for='section-87279eb2-fca0-4cb6-afaf-ea85c59a6951' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>scanline</span></div><div class='xr-var-dims'>(scanline)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 4.17e+03 4.171e+03</div><input id='attrs-40eed4ac-f3d4-4e7d-bba3-360f0699008b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40eed4ac-f3d4-4e7d-bba3-360f0699008b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ab6dc5d-043a-49c4-b93d-1f15c5999254' class='xr-var-data-in' type='checkbox'><label for='data-3ab6dc5d-043a-49c4-b93d-1f15c5999254' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>along-track dimension index</dd><dt><span>comment :</span></dt><dd>This coordinate variable defines the indices along track; index starts at 0</dd></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 1.000e+00, 2.000e+00, ..., 4.169e+03, 4.170e+03, 4.171e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ground_pixel</span></div><div class='xr-var-dims'>(ground_pixel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 212.0 213.0 214.0</div><input id='attrs-ba9653e1-8529-4994-b559-8265798d9e99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba9653e1-8529-4994-b559-8265798d9e99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b88e54e-a11e-414e-9b60-dafc2fba1d4b' class='xr-var-data-in' type='checkbox'><label for='data-8b88e54e-a11e-414e-9b60-dafc2fba1d4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>across-track dimension index</dd><dt><span>comment :</span></dt><dd>This coordinate variable defines the indices across track, from west to east; index starts at 0</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2., ..., 212., 213., 214.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-08-12</div><input id='attrs-4d7d7977-c7a5-4a07-8df2-f87dafd8ca8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d7d7977-c7a5-4a07-8df2-f87dafd8ca8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf80522f-580e-4090-b5e9-6c4cf8f4c6e2' class='xr-var-data-in' type='checkbox'><label for='data-cf80522f-580e-4090-b5e9-6c4cf8f4c6e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>reference time for the measurements</dd><dt><span>comment :</span></dt><dd>The time in this variable corresponds to the time in the time_reference global attribute</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-08-12T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time, scanline, ground_pixel)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa0fdcfa-1ae6-42ae-a531-ba21972414b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa0fdcfa-1ae6-42ae-a531-ba21972414b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-840d61c6-3688-423f-8f48-6aa496054d47' class='xr-var-data-in' type='checkbox'><label for='data-840d61c6-3688-423f-8f48-6aa496054d47' title='Show/Hide data repr'><svg 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>pixel center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>bounds :</span></dt><dd>/PRODUCT/SUPPORT_DATA/GEOLOCATIONS/latitude_bounds</dd></dl></div><div class='xr-var-data'><pre>[896980 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time, scanline, ground_pixel)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-66fa9f4f-5f13-442b-949f-e9bf89b97b8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66fa9f4f-5f13-442b-949f-e9bf89b97b8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efe5a7f1-8ab1-45ff-9959-ecf9b47678bd' class='xr-var-data-in' type='checkbox'><label for='data-efe5a7f1-8ab1-45ff-9959-ecf9b47678bd' title='Show/Hide data repr'><svg 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>pixel center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>bounds :</span></dt><dd>/PRODUCT/SUPPORT_DATA/GEOLOCATIONS/longitude_bounds</dd></dl></div><div class='xr-var-data'><pre>[896980 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f34e5097-adc2-4193-b8e7-3722daa20027' class='xr-section-summary-in' type='checkbox'  ><label for='section-f34e5097-adc2-4193-b8e7-3722daa20027' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>scanline</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8e0c0a1c-1ea0-44e6-bb9b-608bec037692' class='xr-index-data-in' type='checkbox'/><label for='index-8e0c0a1c-1ea0-44e6-bb9b-608bec037692' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([   0.0,    1.0,    2.0,    3.0,    4.0,    5.0,    6.0,    7.0,\n",
       "                 8.0,    9.0,\n",
       "              ...\n",
       "              4162.0, 4163.0, 4164.0, 4165.0, 4166.0, 4167.0, 4168.0, 4169.0,\n",
       "              4170.0, 4171.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;scanline&#x27;, length=4172))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>ground_pixel</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-10cfdc29-bce8-49e4-ac5c-1e61124ff6b6' class='xr-index-data-in' type='checkbox'/><label for='index-10cfdc29-bce8-49e4-ac5c-1e61124ff6b6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  0.0,   1.0,   2.0,   3.0,   4.0,   5.0,   6.0,   7.0,   8.0,\n",
       "                9.0,\n",
       "              ...\n",
       "              205.0, 206.0, 207.0, 208.0, 209.0, 210.0, 211.0, 212.0, 213.0,\n",
       "              214.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;ground_pixel&#x27;, length=215))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-599b1335-3c5e-42e3-a09a-b67c89ccdcbc' class='xr-index-data-in' type='checkbox'/><label for='index-599b1335-3c5e-42e3-a09a-b67c89ccdcbc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2021-08-12&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec78253c-94e1-476d-8c94-8bd6b6a7eeef' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ec78253c-94e1-476d-8c94-8bd6b6a7eeef' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mol m-2</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mole_content_of_carbon_monoxide</dd><dt><span>long_name :</span></dt><dd>Vertically integrated CO column</dd><dt><span>ancillary_variables :</span></dt><dd>carbonmonoxide_total_column_precision</dd><dt><span>multiplication_factor_to_convert_to_molecules_percm2 :</span></dt><dd>6.022141e+19</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'carbonmonoxide_total_column' (time: 1, scanline: 4172,\n",
       "                                                 ground_pixel: 215)>\n",
       "[896980 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * scanline      (scanline) float64 0.0 1.0 2.0 ... 4.17e+03 4.171e+03\n",
       "  * ground_pixel  (ground_pixel) float64 0.0 1.0 2.0 3.0 ... 212.0 213.0 214.0\n",
       "  * time          (time) datetime64[ns] 2021-08-12\n",
       "    latitude      (time, scanline, ground_pixel) float32 ...\n",
       "    longitude     (time, scanline, ground_pixel) float32 ...\n",
       "Attributes:\n",
       "    units:                                                 mol m-2\n",
       "    standard_name:                                         atmosphere_mole_co...\n",
       "    long_name:                                             Vertically integra...\n",
       "    ancillary_variables:                                   carbonmonoxide_tot...\n",
       "    multiplication_factor_to_convert_to_molecules_percm2:  6.022141e+19"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s5p_co = s5p['carbonmonoxide_total_column']\n",
    "s5p_co"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can repeat the same operation for the other available variables, but also for the dimensions latitude and longitude, to get a better overview of the geographic dimension."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude\n",
      "<xarray.DataArray 'latitude' (time: 1, scanline: 4172, ground_pixel: 215)>\n",
      "[896980 values with dtype=float32]\n",
      "Coordinates:\n",
      "  * scanline      (scanline) float64 0.0 1.0 2.0 ... 4.17e+03 4.171e+03\n",
      "  * ground_pixel  (ground_pixel) float64 0.0 1.0 2.0 3.0 ... 212.0 213.0 214.0\n",
      "  * time          (time) datetime64[ns] 2021-08-12\n",
      "    latitude      (time, scanline, ground_pixel) float32 ...\n",
      "    longitude     (time, scanline, ground_pixel) float32 ...\n",
      "Attributes:\n",
      "    long_name:      pixel center latitude\n",
      "    units:          degrees_north\n",
      "    standard_name:  latitude\n",
      "    valid_min:      -90.0\n",
      "    valid_max:      90.0\n",
      "    bounds:         /PRODUCT/SUPPORT_DATA/GEOLOCATIONS/latitude_bounds\n",
      "Longitude\n",
      "<xarray.DataArray 'longitude' (time: 1, scanline: 4172, ground_pixel: 215)>\n",
      "[896980 values with dtype=float32]\n",
      "Coordinates:\n",
      "  * scanline      (scanline) float64 0.0 1.0 2.0 ... 4.17e+03 4.171e+03\n",
      "  * ground_pixel  (ground_pixel) float64 0.0 1.0 2.0 3.0 ... 212.0 213.0 214.0\n",
      "  * time          (time) datetime64[ns] 2021-08-12\n",
      "    latitude      (time, scanline, ground_pixel) float32 ...\n",
      "    longitude     (time, scanline, ground_pixel) float32 ...\n",
      "Attributes:\n",
      "    long_name:      pixel center longitude\n",
      "    units:          degrees_east\n",
      "    standard_name:  longitude\n",
      "    valid_min:      -180.0\n",
      "    valid_max:      180.0\n",
      "    bounds:         /PRODUCT/SUPPORT_DATA/GEOLOCATIONS/longitude_bounds\n"
     ]
    }
   ],
   "source": [
    "print('Latitude')\n",
    "print(s5p_co.latitude)\n",
    "\n",
    "print('Longitude')\n",
    "print(s5p_co.longitude)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": "false"
   },
   "source": [
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": "false"
   },
   "source": [
    "In a next step, let us simplify the loaded `xarray.DataArray` and directly select the single time step. One single time step can be selected by specifying one value of the time dimension, e.g. `[0,:,:]`. The result is the array with two remaining dimensions: scanline and ground_pixel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
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       "\n",
       ".xr-section-item input:enabled + label {\n",
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       "  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",
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       "\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",
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       "\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",
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       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;carbonmonoxide_total_column&#x27; (scanline: 4172,\n",
       "                                                 ground_pixel: 215)&gt;\n",
       "[896980 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * scanline      (scanline) float64 0.0 1.0 2.0 ... 4.17e+03 4.171e+03\n",
       "  * ground_pixel  (ground_pixel) float64 0.0 1.0 2.0 3.0 ... 212.0 213.0 214.0\n",
       "    time          datetime64[ns] 2021-08-12\n",
       "    latitude      (scanline, ground_pixel) float32 ...\n",
       "    longitude     (scanline, ground_pixel) float32 ...\n",
       "Attributes:\n",
       "    units:                                                 mol m-2\n",
       "    standard_name:                                         atmosphere_mole_co...\n",
       "    long_name:                                             Vertically integra...\n",
       "    ancillary_variables:                                   carbonmonoxide_tot...\n",
       "    multiplication_factor_to_convert_to_molecules_percm2:  6.022141e+19</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'carbonmonoxide_total_column'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>scanline</span>: 4172</li><li><span class='xr-has-index'>ground_pixel</span>: 215</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-392e128e-7dd2-425e-831d-6eeb4f8f4270' class='xr-array-in' type='checkbox' checked><label for='section-392e128e-7dd2-425e-831d-6eeb4f8f4270' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[896980 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-701d503d-db06-4ee1-8c09-c4753fbc5a8b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-701d503d-db06-4ee1-8c09-c4753fbc5a8b' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>scanline</span></div><div class='xr-var-dims'>(scanline)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 4.17e+03 4.171e+03</div><input id='attrs-0d626450-555c-4556-a9ae-dd1785cd5b4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d626450-555c-4556-a9ae-dd1785cd5b4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f059d19-f5e3-4dc6-a763-93aa0afe68c8' class='xr-var-data-in' type='checkbox'><label for='data-2f059d19-f5e3-4dc6-a763-93aa0afe68c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>along-track dimension index</dd><dt><span>comment :</span></dt><dd>This coordinate variable defines the indices along track; index starts at 0</dd></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 1.000e+00, 2.000e+00, ..., 4.169e+03, 4.170e+03, 4.171e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ground_pixel</span></div><div class='xr-var-dims'>(ground_pixel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 212.0 213.0 214.0</div><input id='attrs-f2280f24-8b92-4691-be28-8cdc3ff13840' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2280f24-8b92-4691-be28-8cdc3ff13840' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8e58ba7-c7b3-4a75-b339-104aa0e0fc0e' class='xr-var-data-in' type='checkbox'><label for='data-b8e58ba7-c7b3-4a75-b339-104aa0e0fc0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>across-track dimension index</dd><dt><span>comment :</span></dt><dd>This coordinate variable defines the indices across track, from west to east; index starts at 0</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2., ..., 212., 213., 214.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-08-12</div><input id='attrs-d060d4b0-7fad-447c-830d-bbde1ba36358' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d060d4b0-7fad-447c-830d-bbde1ba36358' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b1461b9-2296-4d90-bdcc-2bfb8945bc69' class='xr-var-data-in' type='checkbox'><label for='data-7b1461b9-2296-4d90-bdcc-2bfb8945bc69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>reference time for the measurements</dd><dt><span>comment :</span></dt><dd>The time in this variable corresponds to the time in the time_reference global attribute</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-08-12T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(scanline, ground_pixel)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-18bdaf23-4e03-49fd-a7dc-69af492b2fd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18bdaf23-4e03-49fd-a7dc-69af492b2fd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd518b45-8dfd-4aa0-a660-98078ad2ab98' class='xr-var-data-in' type='checkbox'><label for='data-cd518b45-8dfd-4aa0-a660-98078ad2ab98' title='Show/Hide data repr'><svg 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>pixel center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>bounds :</span></dt><dd>/PRODUCT/SUPPORT_DATA/GEOLOCATIONS/latitude_bounds</dd></dl></div><div class='xr-var-data'><pre>[896980 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(scanline, ground_pixel)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3874fa2f-59a8-4fe2-b2bc-95b5dd8a0bec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3874fa2f-59a8-4fe2-b2bc-95b5dd8a0bec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5230cdd-2430-4c53-b8bb-b5c61b0270cd' class='xr-var-data-in' type='checkbox'><label for='data-d5230cdd-2430-4c53-b8bb-b5c61b0270cd' title='Show/Hide data repr'><svg 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>pixel center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>bounds :</span></dt><dd>/PRODUCT/SUPPORT_DATA/GEOLOCATIONS/longitude_bounds</dd></dl></div><div class='xr-var-data'><pre>[896980 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-211a8185-d881-4221-97b1-dd51b54b48c9' class='xr-section-summary-in' type='checkbox'  ><label for='section-211a8185-d881-4221-97b1-dd51b54b48c9' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>scanline</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b094b824-599d-408b-a81f-c01bb3402044' class='xr-index-data-in' type='checkbox'/><label for='index-b094b824-599d-408b-a81f-c01bb3402044' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([   0.0,    1.0,    2.0,    3.0,    4.0,    5.0,    6.0,    7.0,\n",
       "                 8.0,    9.0,\n",
       "              ...\n",
       "              4162.0, 4163.0, 4164.0, 4165.0, 4166.0, 4167.0, 4168.0, 4169.0,\n",
       "              4170.0, 4171.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;scanline&#x27;, length=4172))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>ground_pixel</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8fbcd100-e134-40b1-971d-256456cbc69b' class='xr-index-data-in' type='checkbox'/><label for='index-8fbcd100-e134-40b1-971d-256456cbc69b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  0.0,   1.0,   2.0,   3.0,   4.0,   5.0,   6.0,   7.0,   8.0,\n",
       "                9.0,\n",
       "              ...\n",
       "              205.0, 206.0, 207.0, 208.0, 209.0, 210.0, 211.0, 212.0, 213.0,\n",
       "              214.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;ground_pixel&#x27;, length=215))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-95c81a62-14d6-4ff4-8f7d-9be79c66a8dc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-95c81a62-14d6-4ff4-8f7d-9be79c66a8dc' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mol m-2</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mole_content_of_carbon_monoxide</dd><dt><span>long_name :</span></dt><dd>Vertically integrated CO column</dd><dt><span>ancillary_variables :</span></dt><dd>carbonmonoxide_total_column_precision</dd><dt><span>multiplication_factor_to_convert_to_molecules_percm2 :</span></dt><dd>6.022141e+19</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'carbonmonoxide_total_column' (scanline: 4172,\n",
       "                                                 ground_pixel: 215)>\n",
       "[896980 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * scanline      (scanline) float64 0.0 1.0 2.0 ... 4.17e+03 4.171e+03\n",
       "  * ground_pixel  (ground_pixel) float64 0.0 1.0 2.0 3.0 ... 212.0 213.0 214.0\n",
       "    time          datetime64[ns] 2021-08-12\n",
       "    latitude      (scanline, ground_pixel) float32 ...\n",
       "    longitude     (scanline, ground_pixel) float32 ...\n",
       "Attributes:\n",
       "    units:                                                 mol m-2\n",
       "    standard_name:                                         atmosphere_mole_co...\n",
       "    long_name:                                             Vertically integra...\n",
       "    ancillary_variables:                                   carbonmonoxide_tot...\n",
       "    multiplication_factor_to_convert_to_molecules_percm2:  6.022141e+19"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s5p_co_1208 = s5p_co[0,:,:]\n",
    "s5p_co_1208"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The attributes of the data array hold the entry `multiplication_factor_to_convert_to_molecules_percm2`, which is a conversion factor that has to be applied to convert the data from mol / m<sup>2</sup> to molecules / cm<sup>2</sup>.\n",
    "\n",
    "Let us store the multiplication factor as variable with the name `conversion_factor`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.022141e+19"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "conversion_factor = s5p_co_1208.multiplication_factor_to_convert_to_molecules_percm2\n",
    "conversion_factor"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Additionally, you can save the attribute `longname`, which you be handy for data visualisation in a later step."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "heading_collapsed": "false"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Vertically integrated CO column'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "longname = s5p_co_1208.long_name\n",
    "longname"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": "false"
   },
   "source": [
    "## <a id='geographical_subset'></a>Create  a geographical subset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": "false"
   },
   "source": [
    "You can zoom into a specific region by specifying a `bounding box` of interest. Let us set the extent to central Siberia with the following bounding box information:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "heading_collapsed": "false"
   },
   "outputs": [],
   "source": [
    "latmax=75\n",
    "latmin=31\n",
    "lonmax=150\n",
    "lonmin=100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can use the function [generate_geographical_subset()](../functions.ipynb#generate_geographical_subset) to subset a `xarray.DataArray` based on a given bounding box."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;carbonmonoxide_total_column&#x27; (scanline: 936,\n",
       "                                                 ground_pixel: 215)&gt;\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
       "Coordinates:\n",
       "  * scanline      (scanline) float64 2.322e+03 2.323e+03 ... 3.256e+03 3.257e+03\n",
       "  * ground_pixel  (ground_pixel) float64 0.0 1.0 2.0 3.0 ... 212.0 213.0 214.0\n",
       "    time          datetime64[ns] 2021-08-12\n",
       "    latitude      (scanline, ground_pixel) float32 25.37 25.53 ... 75.81 75.7\n",
       "    longitude     (scanline, ground_pixel) float32 115.7 116.1 ... 143.0 144.2\n",
       "Attributes:\n",
       "    units:                                                 mol m-2\n",
       "    standard_name:                                         atmosphere_mole_co...\n",
       "    long_name:                                             Vertically integra...\n",
       "    ancillary_variables:                                   carbonmonoxide_tot...\n",
       "    multiplication_factor_to_convert_to_molecules_percm2:  6.022141e+19</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'carbonmonoxide_total_column'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>scanline</span>: 936</li><li><span class='xr-has-index'>ground_pixel</span>: 215</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7ddb6c9d-58ed-4481-9232-9a7c626305cc' class='xr-array-in' type='checkbox' checked><label for='section-7ddb6c9d-58ed-4481-9232-9a7c626305cc' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7ac73a7f-db7c-433b-9eb9-49fee29c899c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7ac73a7f-db7c-433b-9eb9-49fee29c899c' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>scanline</span></div><div class='xr-var-dims'>(scanline)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.322e+03 2.323e+03 ... 3.257e+03</div><input id='attrs-2ebb2d49-e4de-4bc3-a608-7226bb352f64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ebb2d49-e4de-4bc3-a608-7226bb352f64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78686e4f-4851-4901-94bd-fc4dd996c5a6' class='xr-var-data-in' type='checkbox'><label for='data-78686e4f-4851-4901-94bd-fc4dd996c5a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>along-track dimension index</dd><dt><span>comment :</span></dt><dd>This coordinate variable defines the indices along track; index starts at 0</dd></dl></div><div class='xr-var-data'><pre>array([2322., 2323., 2324., ..., 3255., 3256., 3257.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ground_pixel</span></div><div class='xr-var-dims'>(ground_pixel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 212.0 213.0 214.0</div><input id='attrs-8231feb3-7c82-4b55-9a9b-31820be4e15c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8231feb3-7c82-4b55-9a9b-31820be4e15c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8c82c16-901a-4039-984a-2e1bd343e499' class='xr-var-data-in' type='checkbox'><label for='data-c8c82c16-901a-4039-984a-2e1bd343e499' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>across-track dimension index</dd><dt><span>comment :</span></dt><dd>This coordinate variable defines the indices across track, from west to east; index starts at 0</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2., ..., 212., 213., 214.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-08-12</div><input id='attrs-0b739a2c-24cc-466c-83e1-3d952fd7d9dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b739a2c-24cc-466c-83e1-3d952fd7d9dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-620a98db-8e29-4046-b2f7-e203098e0db2' class='xr-var-data-in' type='checkbox'><label for='data-620a98db-8e29-4046-b2f7-e203098e0db2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>reference time for the measurements</dd><dt><span>comment :</span></dt><dd>The time in this variable corresponds to the time in the time_reference global attribute</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-08-12T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(scanline, ground_pixel)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>25.37 25.53 25.68 ... 75.81 75.7</div><input id='attrs-926293b5-259b-4ab5-9d52-495c93cfea40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-926293b5-259b-4ab5-9d52-495c93cfea40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4ba2bb2-c24c-437f-b767-4d72686c6f70' class='xr-var-data-in' type='checkbox'><label for='data-c4ba2bb2-c24c-437f-b767-4d72686c6f70' title='Show/Hide data repr'><svg 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>pixel center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>bounds :</span></dt><dd>/PRODUCT/SUPPORT_DATA/GEOLOCATIONS/latitude_bounds</dd></dl></div><div class='xr-var-data'><pre>array([[25.366772, 25.528442, 25.681017, ..., 30.947842, 30.932842,\n",
       "        30.915972],\n",
       "       [25.414059, 25.575804, 25.728447, ..., 30.996304, 30.981256,\n",
       "        30.964329],\n",
       "       [25.461277, 25.623095, 25.77581 , ..., 31.044725, 31.02962 ,\n",
       "        31.012634],\n",
       "       ...,\n",
       "       [64.49784 , 64.80171 , 65.08901 , ..., 75.80897 , 75.7141  ,\n",
       "        75.6084  ],\n",
       "       [64.52635 , 64.830444, 65.11796 , ..., 75.85622 , 75.761116,\n",
       "        75.65516 ],\n",
       "       [64.55488 , 64.85918 , 65.14692 , ..., 75.90346 , 75.80816 ,\n",
       "        75.70195 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(scanline, ground_pixel)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>115.7 116.1 116.4 ... 143.0 144.2</div><input id='attrs-8c081f27-8075-4a82-aed1-fbcf59a0d3cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c081f27-8075-4a82-aed1-fbcf59a0d3cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de8e7b65-b633-47cb-ac94-59f8b6a6af72' class='xr-var-data-in' type='checkbox'><label for='data-de8e7b65-b633-47cb-ac94-59f8b6a6af72' title='Show/Hide data repr'><svg 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>pixel center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>bounds :</span></dt><dd>/PRODUCT/SUPPORT_DATA/GEOLOCATIONS/longitude_bounds</dd></dl></div><div class='xr-var-data'><pre>array([[115.73351 , 116.05296 , 116.3568  , ..., 141.37135 , 141.71344 ,\n",
       "        142.07285 ],\n",
       "       [115.71511 , 116.03464 , 116.33855 , ..., 141.36455 , 141.70682 ,\n",
       "        142.06639 ],\n",
       "       [115.69664 , 116.016266, 116.32025 , ..., 141.35774 , 141.70018 ,\n",
       "        142.05992 ],\n",
       "       ...,\n",
       "       [ 75.47743 ,  75.80839 ,  76.12931 , ..., 141.79802 , 142.94562 ,\n",
       "        144.13548 ],\n",
       "       [ 75.38083 ,  75.711006,  76.0312  , ..., 141.82538 , 142.97641 ,\n",
       "        144.16974 ],\n",
       "       [ 75.28424 ,  75.61363 ,  75.93307 , ..., 141.85341 , 143.0079  ,\n",
       "        144.20473 ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-436e41aa-c127-4c95-8b9f-cd03179bde5e' class='xr-section-summary-in' type='checkbox'  ><label for='section-436e41aa-c127-4c95-8b9f-cd03179bde5e' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>scanline</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e0dfad34-abc4-4c9a-9791-c409b92cc5df' class='xr-index-data-in' type='checkbox'/><label for='index-e0dfad34-abc4-4c9a-9791-c409b92cc5df' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([2322.0, 2323.0, 2324.0, 2325.0, 2326.0, 2327.0, 2328.0, 2329.0,\n",
       "              2330.0, 2331.0,\n",
       "              ...\n",
       "              3248.0, 3249.0, 3250.0, 3251.0, 3252.0, 3253.0, 3254.0, 3255.0,\n",
       "              3256.0, 3257.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;scanline&#x27;, length=936))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>ground_pixel</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7463dcce-0a52-494d-b601-f36e6457148e' class='xr-index-data-in' type='checkbox'/><label for='index-7463dcce-0a52-494d-b601-f36e6457148e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  0.0,   1.0,   2.0,   3.0,   4.0,   5.0,   6.0,   7.0,   8.0,\n",
       "                9.0,\n",
       "              ...\n",
       "              205.0, 206.0, 207.0, 208.0, 209.0, 210.0, 211.0, 212.0, 213.0,\n",
       "              214.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;ground_pixel&#x27;, length=215))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e923564-1889-4a61-81a4-0491fa295bd0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8e923564-1889-4a61-81a4-0491fa295bd0' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mol m-2</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mole_content_of_carbon_monoxide</dd><dt><span>long_name :</span></dt><dd>Vertically integrated CO column</dd><dt><span>ancillary_variables :</span></dt><dd>carbonmonoxide_total_column_precision</dd><dt><span>multiplication_factor_to_convert_to_molecules_percm2 :</span></dt><dd>6.022141e+19</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'carbonmonoxide_total_column' (scanline: 936,\n",
       "                                                 ground_pixel: 215)>\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
       "Coordinates:\n",
       "  * scanline      (scanline) float64 2.322e+03 2.323e+03 ... 3.256e+03 3.257e+03\n",
       "  * ground_pixel  (ground_pixel) float64 0.0 1.0 2.0 3.0 ... 212.0 213.0 214.0\n",
       "    time          datetime64[ns] 2021-08-12\n",
       "    latitude      (scanline, ground_pixel) float32 25.37 25.53 ... 75.81 75.7\n",
       "    longitude     (scanline, ground_pixel) float32 115.7 116.1 ... 143.0 144.2\n",
       "Attributes:\n",
       "    units:                                                 mol m-2\n",
       "    standard_name:                                         atmosphere_mole_co...\n",
       "    long_name:                                             Vertically integra...\n",
       "    ancillary_variables:                                   carbonmonoxide_tot...\n",
       "    multiplication_factor_to_convert_to_molecules_percm2:  6.022141e+19"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s5p_co_subset = generate_geographical_subset(s5p_co_1208, latmin, latmax, lonmin, lonmax)\n",
    "s5p_co_subset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": "false"
   },
   "source": [
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": "false"
   },
   "source": [
    "## <a id=\"plotting_s5p\"></a>Visualise Sentinel-5P Level 2 Carbon Monoxide data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": "false"
   },
   "source": [
    "You can plot data arrays of type `numpy` with matplotlib's `pcolormesh` function. In combination with the library [Cartopy](https://scitools.org.uk/cartopy/docs/latest/), you can produce high-quality maps. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": "false"
   },
   "source": [
    "In order to make it easier to visualize the Carbon Monoxide values, we apply the conversion factor to the data array. This converts the Carbon Monoxide values from mol per m<sup>2</sup> to molecules per cm<sup>2</sup>."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
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       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;carbonmonoxide_total_column&#x27; (scanline: 936,\n",
       "                                                 ground_pixel: 215)&gt;\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
       "Coordinates:\n",
       "  * scanline      (scanline) float64 2.322e+03 2.323e+03 ... 3.256e+03 3.257e+03\n",
       "  * ground_pixel  (ground_pixel) float64 0.0 1.0 2.0 3.0 ... 212.0 213.0 214.0\n",
       "    time          datetime64[ns] 2021-08-12\n",
       "    latitude      (scanline, ground_pixel) float32 25.37 25.53 ... 75.81 75.7\n",
       "    longitude     (scanline, ground_pixel) float32 115.7 116.1 ... 143.0 144.2</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'carbonmonoxide_total_column'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>scanline</span>: 936</li><li><span class='xr-has-index'>ground_pixel</span>: 215</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-69ee4036-fded-4a57-ab53-5d04ea80dee5' class='xr-array-in' type='checkbox' checked><label for='section-69ee4036-fded-4a57-ab53-5d04ea80dee5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7adb5954-5a32-474e-bfb5-30bb5a204c78' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7adb5954-5a32-474e-bfb5-30bb5a204c78' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>scanline</span></div><div class='xr-var-dims'>(scanline)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.322e+03 2.323e+03 ... 3.257e+03</div><input id='attrs-2e4e7eb1-25ce-407f-8446-cfb2e80670c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e4e7eb1-25ce-407f-8446-cfb2e80670c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99acee95-3e27-4e7d-bfd7-3da693d8b582' class='xr-var-data-in' type='checkbox'><label for='data-99acee95-3e27-4e7d-bfd7-3da693d8b582' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>along-track dimension index</dd><dt><span>comment :</span></dt><dd>This coordinate variable defines the indices along track; index starts at 0</dd></dl></div><div class='xr-var-data'><pre>array([2322., 2323., 2324., ..., 3255., 3256., 3257.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ground_pixel</span></div><div class='xr-var-dims'>(ground_pixel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 212.0 213.0 214.0</div><input id='attrs-aa003be6-22f4-4762-8c21-dacd2a61657d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa003be6-22f4-4762-8c21-dacd2a61657d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52d1f2bf-27e7-467b-a828-68b0c18bf64f' class='xr-var-data-in' type='checkbox'><label for='data-52d1f2bf-27e7-467b-a828-68b0c18bf64f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>across-track dimension index</dd><dt><span>comment :</span></dt><dd>This coordinate variable defines the indices across track, from west to east; index starts at 0</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2., ..., 212., 213., 214.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-08-12</div><input id='attrs-5f7717c2-7fae-41c4-958e-2a135474c332' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f7717c2-7fae-41c4-958e-2a135474c332' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a14c59c2-26b0-4606-9a96-bc70927d84ee' class='xr-var-data-in' type='checkbox'><label for='data-a14c59c2-26b0-4606-9a96-bc70927d84ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>reference time for the measurements</dd><dt><span>comment :</span></dt><dd>The time in this variable corresponds to the time in the time_reference global attribute</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-08-12T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(scanline, ground_pixel)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>25.37 25.53 25.68 ... 75.81 75.7</div><input id='attrs-1bcae3c7-c65b-4c72-a1ac-b8f624f1e338' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bcae3c7-c65b-4c72-a1ac-b8f624f1e338' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e73a35ba-8d8f-4db7-b3e4-a6fc8573ffe4' class='xr-var-data-in' type='checkbox'><label for='data-e73a35ba-8d8f-4db7-b3e4-a6fc8573ffe4' title='Show/Hide data repr'><svg 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>pixel center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>bounds :</span></dt><dd>/PRODUCT/SUPPORT_DATA/GEOLOCATIONS/latitude_bounds</dd></dl></div><div class='xr-var-data'><pre>array([[25.366772, 25.528442, 25.681017, ..., 30.947842, 30.932842,\n",
       "        30.915972],\n",
       "       [25.414059, 25.575804, 25.728447, ..., 30.996304, 30.981256,\n",
       "        30.964329],\n",
       "       [25.461277, 25.623095, 25.77581 , ..., 31.044725, 31.02962 ,\n",
       "        31.012634],\n",
       "       ...,\n",
       "       [64.49784 , 64.80171 , 65.08901 , ..., 75.80897 , 75.7141  ,\n",
       "        75.6084  ],\n",
       "       [64.52635 , 64.830444, 65.11796 , ..., 75.85622 , 75.761116,\n",
       "        75.65516 ],\n",
       "       [64.55488 , 64.85918 , 65.14692 , ..., 75.90346 , 75.80816 ,\n",
       "        75.70195 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(scanline, ground_pixel)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>115.7 116.1 116.4 ... 143.0 144.2</div><input id='attrs-4f86648c-145b-4516-9ba2-b7ba0082a72c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f86648c-145b-4516-9ba2-b7ba0082a72c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e00ea0c6-10f8-47d0-92b8-2f2176ea2c57' class='xr-var-data-in' type='checkbox'><label for='data-e00ea0c6-10f8-47d0-92b8-2f2176ea2c57' title='Show/Hide data repr'><svg 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>pixel center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>bounds :</span></dt><dd>/PRODUCT/SUPPORT_DATA/GEOLOCATIONS/longitude_bounds</dd></dl></div><div class='xr-var-data'><pre>array([[115.73351 , 116.05296 , 116.3568  , ..., 141.37135 , 141.71344 ,\n",
       "        142.07285 ],\n",
       "       [115.71511 , 116.03464 , 116.33855 , ..., 141.36455 , 141.70682 ,\n",
       "        142.06639 ],\n",
       "       [115.69664 , 116.016266, 116.32025 , ..., 141.35774 , 141.70018 ,\n",
       "        142.05992 ],\n",
       "       ...,\n",
       "       [ 75.47743 ,  75.80839 ,  76.12931 , ..., 141.79802 , 142.94562 ,\n",
       "        144.13548 ],\n",
       "       [ 75.38083 ,  75.711006,  76.0312  , ..., 141.82538 , 142.97641 ,\n",
       "        144.16974 ],\n",
       "       [ 75.28424 ,  75.61363 ,  75.93307 , ..., 141.85341 , 143.0079  ,\n",
       "        144.20473 ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d1a21a75-54a1-47f6-a0a6-feedfbe287e3' class='xr-section-summary-in' type='checkbox'  ><label for='section-d1a21a75-54a1-47f6-a0a6-feedfbe287e3' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>scanline</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-765f549c-e9f9-4867-8dfc-3c2acfdbf975' class='xr-index-data-in' type='checkbox'/><label for='index-765f549c-e9f9-4867-8dfc-3c2acfdbf975' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([2322.0, 2323.0, 2324.0, 2325.0, 2326.0, 2327.0, 2328.0, 2329.0,\n",
       "              2330.0, 2331.0,\n",
       "              ...\n",
       "              3248.0, 3249.0, 3250.0, 3251.0, 3252.0, 3253.0, 3254.0, 3255.0,\n",
       "              3256.0, 3257.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;scanline&#x27;, length=936))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>ground_pixel</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cab16be7-672d-46ea-8204-e059468e1490' class='xr-index-data-in' type='checkbox'/><label for='index-cab16be7-672d-46ea-8204-e059468e1490' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  0.0,   1.0,   2.0,   3.0,   4.0,   5.0,   6.0,   7.0,   8.0,\n",
       "                9.0,\n",
       "              ...\n",
       "              205.0, 206.0, 207.0, 208.0, 209.0, 210.0, 211.0, 212.0, 213.0,\n",
       "              214.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;ground_pixel&#x27;, length=215))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-30473042-ecfc-465f-ae70-bcb88ec28ca2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-30473042-ecfc-465f-ae70-bcb88ec28ca2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'carbonmonoxide_total_column' (scanline: 936,\n",
       "                                                 ground_pixel: 215)>\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
       "Coordinates:\n",
       "  * scanline      (scanline) float64 2.322e+03 2.323e+03 ... 3.256e+03 3.257e+03\n",
       "  * ground_pixel  (ground_pixel) float64 0.0 1.0 2.0 3.0 ... 212.0 213.0 214.0\n",
       "    time          datetime64[ns] 2021-08-12\n",
       "    latitude      (scanline, ground_pixel) float32 25.37 25.53 ... 75.81 75.7\n",
       "    longitude     (scanline, ground_pixel) float32 115.7 116.1 ... 143.0 144.2"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s5p_co_converted = s5p_co_subset*conversion_factor\n",
    "s5p_co_converted"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For visualization, you can use the function [visualize_pcolormesh](../functions#visualize_pcolormesh) to visualize the data. The following kwargs have to be defined:\n",
    "* `data_array`\n",
    "* `longitude`\n",
    "* `latitude`\n",
    "* `projection`\n",
    "* `color_scale`\n",
    "* `unit`\n",
    "* `long_name`\n",
    "* `vmin`, `vmax`\n",
    "* `extent (lonmin, lonmax, latmin, latmax)`\n",
    "* `set_global`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let us apply the [visualize_pcolormesh](../functions#visualize_pcolormesh) function and visualize the vertically integrated Carbon Monoxide column sensored from the Sentinel-5P satellite over central Siberia on 12 August 2021.\n",
    "\n",
    "*Note: Multiplying the data array values with 1e<sup>-18</sup> improves the readibility of the map legend.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "heading_collapsed": "false"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 2000x1000 with 2 Axes>,\n",
       " <GeoAxesSubplot:title={'center':'Vertically integrated CO column - 12 August 2021'}>)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_pcolormesh(data_array=s5p_co_converted*1e-18, \n",
    "                     longitude=s5p_co_converted.longitude, \n",
    "                     latitude=s5p_co_converted.latitude, \n",
    "                     projection=ccrs.PlateCarree(), \n",
    "                     color_scale='viridis', \n",
    "                     unit='*1e-18 molecules per cm2', \n",
    "                     long_name=longname + \" - 12 August 2021\" , \n",
    "                     vmin=0, \n",
    "                     vmax=12, \n",
    "                     lonmin=lonmin, \n",
    "                     lonmax=lonmax, \n",
    "                     latmin=latmin, \n",
    "                     latmax=latmax, \n",
    "                     set_global=False)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": "false"
   },
   "source": [
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": "false"
   },
   "source": [
    "<hr>"
   ]
  }
 ],
 "metadata": {
  "author": "Julia Wagemann",
  "description": "This notebook introduces you to the Sentinel-5P TROPOMI Level 2 Carbon Monoxide data and shows you how you can load, browse and visualize the data.",
  "image": "../img/img_01.png",
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.0"
  },
  "deployment": {
   "wekeo": {
    "git": {
     "link": "https://github.com/wekeo/wekeo4atmosphere/blob/main/fire/11_Sentinel5P_L2_CO_explore.ipynb",
     "service_contact": "ops@eumetsat.int",
     "service_provider": "EUMETSAT"
    },
    "url": {
     "link": "https://jupyterhub.prod.wekeo2.eu/hub/user-redirect/lab/tree/public/wekeo4atmosphere/fire/11_Sentinel5P_L2_CO_explore.ipynb",
     "service_contact": "ops@eumetsat.int",
     "service_provider": "EUMETSAT"
    }
   }
  },
  "tags": {
   "theme": "Atmosphere",
   "satellite": "Sentinel-5P",
   "sensor": "TROPOMI",
   "data_provider": "ESA",
   "subtheme": "Fire",
   "variable": "Carbon monoxide concentration (total column)"
  },
  "title": "Discover Sentinel-5P TROPOMI Level 2 Carbon Monoxide data",
  "version": "1.0.0",
  "version_date": "8.10.2024"
 },
 "nbformat": 4,
 "nbformat_minor": 4
}