C_tm3_GRACEL3-Exercise-template.ipynb

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    "# Class room Exercise Searching for Water signal in GRACE Level 3 Products \n",
    "**Part of EOAFRICA R & D** Roelof Rietbroek, April 2022\n",
    "<img src=\"images/water-cycle2.png\" alt=\"The Earth's water cycle\" style=\"width: 900px;\"/>\n",
    "<small>Source: JPL/Caltech</small>"
   ]
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    "# Introduction\n",
    "This jupyter exercise is meant to give you a better idea of the following:\n",
    "\n",
    "1. Get to know jupyter notebooks and a bit of python\n",
    "2. Of the information content of GRACE (Level 3 products)\n",
    "\n",
    "\n",
    "# Where to get help\n",
    "* [Python Data-Science-Handbook](https://jakevdp.github.io/PythonDataScienceHandbook/) \n",
    "* [Tellus grace site](https://grace.jpl.nasa.gov)\n",
    "* [Gravis GFZ site](http://gravis.gfz-potsdam.de/home)\n",
    "\n",
    "# Getting started\n",
    "* I assume you're running this notebook on the [EOAFRICA innovation lab](https://www.eoafrica-rd.org/) so you don't really need to install anything. You do need internet and a (modern) browser\n",
    "* Basically, a jupyter instance is remote computing service which you can interactively feed with code (python or other languages, as can be seen above)\n",
    "* The code and documentation in a jupyter notebook are contained in cells\n",
    "    * markdown cells (such as this one) in which you can add rich text to document things\n",
    "    * code cells which contain chunks of (python) code which can be interactively send to the **kernel**. After executing the code, variables defined will stay in memory and possibly output is visualized in your browser "
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    "# Step 1 (if you did not clone this notebook from github): copy/rename this notebook file to your own home folder\n",
    "1. Right click on this notebook file in the left pane and select `copy`\n",
    "2. Navigate to your home folder in the left pane, right click on an empty space and select `paste`"
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   "source": [
    "# Step 2 load some python modules which we'll need later"
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    "import xarray as xr\n",
    "import cartopy.crs as ccrs\n",
    "import matplotlib.pyplot as mpl\n",
    "import requests\n",
    "import zipfile\n",
    "import os\n",
    "import fiona"
   ]
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   "source": [
    "# Step 3 Load a monthly dataset (CSR processing set)"
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    "# Step 2: Getting some data in netcdf format. Or better, opening a netcdf dataset as a remote object\n",
    "#You can find a collection of data url's for this product here: https://podaac-opendap.jpl.nasa.gov/opendap/allData/tellus/L3/grace/land_mass/RL06/v04/CSR/\n",
    "dataurl=\"https://podaac-opendap.jpl.nasa.gov/opendap/allData/tellus/L3/grace/land_mass/RL06/v04/CSR/GRD-3_2004061-2004091_GRAC_UTCSR_BA01_0600_LND_v04.nc\"\n",
    "#load the data using xarray\n",
    "csrdata=xr.open_dataset(dataurl)\n"
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   "execution_count": 3,
   "id": "4fd3a3f4-3454-439c-a47a-638bcc9440f2",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:        (lon: 360, lat: 180, time: 1, bounds: 2)\n",
       "Coordinates:\n",
       "  * lon            (lon) float64 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
       "  * lat            (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
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       "Dimensions without coordinates: bounds\n",
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       "    lat_bounds     (lat, bounds) float64 -90.0 -89.0 -89.0 ... 89.0 89.0 90.0\n",
       "    lon_bounds     (lon, bounds) float64 0.0 1.0 1.0 2.0 ... 359.0 359.0 360.0\n",
       "    time_bounds    (time, bounds) datetime64[ns] 2004-03-01 2004-04-01\n",
       "    lwe_thickness  (time, lat, lon) float64 -0.01699 -0.01702 ... nan nan\n",
       "    uncertainty    (time, lat, lon) float64 0.01638 0.01638 0.01638 ... nan nan\n",
       "Attributes: (12/58)\n",
       "    Conventions:                     CF-1.6\n",
       "    standard_name_vocabulary:        NetCDF Climate and Forecast (CF) Metadat...\n",
       "    title:                           GRACE-FO Water-Equivalent-Thickness Surf...\n",
       "    id:                              TELND-3NC64\n",
       "    summary:                         Gridded surface mass anomalies, derived ...\n",
       "    processing_level:                3\n",
       "    ...                              ...\n",
       "    geospatial_lat_resolution:       One degree grid\n",
       "    geospatial_lon_min:              0.5\n",
       "    geospatial_lon_max:              359.5\n",
       "    geospatial_lon_units:            degrees_east\n",
       "    geospatial_lon_resolution:       One degree grid\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time</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-f15e8f9a-816d-4bfa-975a-b81fa4d5cebc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f15e8f9a-816d-4bfa-975a-b81fa4d5cebc' 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'>lon</span>: 360</li><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>time</span>: 1</li><li><span>bounds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cbb8b926-2119-4766-8e8f-d245aa228dc1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cbb8b926-2119-4766-8e8f-d245aa228dc1' class='xr-section-summary' >Coordinates: <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-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-bfa393be-e527-4429-876f-aa4737fc8631' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfa393be-e527-4429-876f-aa4737fc8631' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ddaeda6-4c25-4183-ac49-3ede12db2ed8' class='xr-var-data-in' type='checkbox'><label for='data-6ddaeda6-4c25-4183-ac49-3ede12db2ed8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>valid_min :</span></dt><dd>0.5</dd><dt><span>valid_max :</span></dt><dd>359.5</dd><dt><span>comment :</span></dt><dd>longitude value at each pixel</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-54142564-1e01-4f09-8fc0-f11f5149bd73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54142564-1e01-4f09-8fc0-f11f5149bd73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-314882ef-10f5-480f-acdd-e269d0b07139' class='xr-var-data-in' type='checkbox'><label for='data-314882ef-10f5-480f-acdd-e269d0b07139' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>valid_min :</span></dt><dd>-89.5</dd><dt><span>valid_max :</span></dt><dd>89.5</dd><dt><span>comment :</span></dt><dd>latitude value at each pixel</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</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'>2004-03-16T12:00:00</div><input id='attrs-8ee78d4b-b4fe-43f5-b682-849bad6a202d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ee78d4b-b4fe-43f5-b682-849bad6a202d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcf35196-524a-4115-a57e-7501cc94a167' class='xr-var-data-in' type='checkbox'><label for='data-bcf35196-524a-4115-a57e-7501cc94a167' title='Show/Hide data repr'><svg 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</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2004-03-16T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3913f4a7-943b-45f1-b95a-780ad3c49956' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3913f4a7-943b-45f1-b95a-780ad3c49956' class='xr-section-summary' >Data variables: <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>lat_bounds</span></div><div class='xr-var-dims'>(lat, bounds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-923c4ea0-3777-4cc2-aaa6-34c31950c54c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-923c4ea0-3777-4cc2-aaa6-34c31950c54c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd51e24b-e738-4f77-a34a-0222acd41663' class='xr-var-data-in' type='checkbox'><label for='data-bd51e24b-e738-4f77-a34a-0222acd41663' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude boundaries</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>comment :</span></dt><dd>latitude values at the north and south bounds of each pixel</dd></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
       "       [-89., -88.],\n",
       "       [-88., -87.],\n",
       "       ...,\n",
       "       [ 87.,  88.],\n",
       "       [ 88.,  89.],\n",
       "       [ 89.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bounds</span></div><div class='xr-var-dims'>(lon, bounds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b0e8298-502d-4404-8440-8bae850d6244' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b0e8298-502d-4404-8440-8bae850d6244' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09270ee4-f00a-46bd-a157-23e7500c43ef' class='xr-var-data-in' type='checkbox'><label for='data-09270ee4-f00a-46bd-a157-23e7500c43ef' title='Show/Hide data repr'><svg 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>longitude boundaries</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>comment :</span></dt><dd>longitude values at the west and east bounds of each pixel</dd></dl></div><div class='xr-var-data'><pre>array([[  0.,   1.],\n",
       "       [  1.,   2.],\n",
       "       [  2.,   3.],\n",
       "       ...,\n",
       "       [357., 358.],\n",
       "       [358., 359.],\n",
       "       [359., 360.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bounds</span></div><div class='xr-var-dims'>(time, bounds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-923b9918-c89d-4ed0-abe6-2f9eb1e019d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-923b9918-c89d-4ed0-abe6-2f9eb1e019d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0296e582-4070-4515-a104-a5512665853e' class='xr-var-data-in' type='checkbox'><label for='data-0296e582-4070-4515-a104-a5512665853e' title='Show/Hide data repr'><svg 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 bounds for each time value, i.e. the first day and last day included in the monthly solution</dd><dt><span>comment :</span></dt><dd>time bounds for each time value, i.e., the first day and last day included in the monthly solution</dd></dl></div><div class='xr-var-data'><pre>array([[&#x27;2004-03-01T00:00:00.000000000&#x27;, &#x27;2004-04-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lwe_thickness</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-85c8ed6f-56c4-4c67-a6ac-b018a1475d6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85c8ed6f-56c4-4c67-a6ac-b018a1475d6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b1eda85-7022-4848-aa44-f34c4fe57ff2' class='xr-var-data-in' type='checkbox'><label for='data-3b1eda85-7022-4848-aa44-f34c4fe57ff2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Liquid_Water_Equivalent_Thickness</dd><dt><span>grid_mapping :</span></dt><dd>WGS 84</dd><dt><span>valid_min :</span></dt><dd>-30.0</dd><dt><span>valid_max :</span></dt><dd>30.0</dd><dt><span>comment :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><pre>array([[[-0.016993, -0.017017, ..., -0.016942, -0.016968],\n",
       "        [-0.023354, -0.023286, ..., -0.023481, -0.023419],\n",
       "        ...,\n",
       "        [      nan,       nan, ...,       nan,       nan],\n",
       "        [      nan,       nan, ...,       nan,       nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uncertainty</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e3c6ab80-e559-4e8a-b15c-0782a12089c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3c6ab80-e559-4e8a-b15c-0782a12089c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1ba8275-3b69-4d6d-a02f-a96575b6636a' class='xr-var-data-in' type='checkbox'><label for='data-b1ba8275-3b69-4d6d-a02f-a96575b6636a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>uncertainty</dd><dt><span>grid_mapping :</span></dt><dd>WGS 84</dd><dt><span>valid_min :</span></dt><dd>-30.0</dd><dt><span>valid_max :</span></dt><dd>30.0</dd><dt><span>comment :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><pre>array([[[0.016384, 0.016384, ..., 0.016384, 0.016384],\n",
       "        [0.015845, 0.015845, ..., 0.015845, 0.015845],\n",
       "        ...,\n",
       "        [     nan,      nan, ...,      nan,      nan],\n",
       "        [     nan,      nan, ...,      nan,      nan]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-05898268-efe4-4e67-978d-09d5819a6f69' class='xr-section-summary-in' type='checkbox'  ><label for='section-05898268-efe4-4e67-978d-09d5819a6f69' class='xr-section-summary' >Attributes: <span>(58)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention</dd><dt><span>title :</span></dt><dd>GRACE-FO Water-Equivalent-Thickness Surface-Mass Anomaly; CSR RL06</dd><dt><span>id :</span></dt><dd>TELND-3NC64</dd><dt><span>summary :</span></dt><dd>Gridded surface mass anomalies, derived from Spherical harmonic coefficients representing an estimate of Earth&#x27;s mean gravity field during the specified timespan derived from GRACE mission measurements.  These grids represent the full magnitude of land hydrology and land ice.  Further, they contain atmospheric and oceanic processes not captured in the accompanying GAC product.</dd><dt><span>processing_level :</span></dt><dd>3</dd><dt><span>product_version_Level3 :</span></dt><dd>LND_sw06_k20_G300_GCSAL_v04</dd><dt><span>creator_name :</span></dt><dd>UT CSR Level-2 Science team</dd><dt><span>creator_email :</span></dt><dd>grace@jpl.nasa.gov</dd><dt><span>creator_url :</span></dt><dd>https://www.grace.jpl.nasa.gov</dd><dt><span>date_created :</span></dt><dd>2021-04-28T09:39:56</dd><dt><span>date_issued :</span></dt><dd>2021-04-27T23:59:02</dd><dt><span>acknowledgement :</span></dt><dd>GRACE is a joint mission of NASA (USA) and DLR (Germany).  Use the digital object identifier provided in the id attribute when citing this data.  See https://podaac.jpl.nasa.gov/CitingPODAAC</dd><dt><span>license :</span></dt><dd>https://science.nasa.gov/earth-science/earth-science-data/data-information-policy</dd><dt><span>product_version :</span></dt><dd>RL06</dd><dt><span>time_epoch :</span></dt><dd>2002-01-01T00:00:00</dd><dt><span>static_field_time_epoch :</span></dt><dd>2008-01-01T12:00:00</dd><dt><span>time_mean_removed :</span></dt><dd>2005-01-01 to 2010-12-31</dd><dt><span>filter_type :</span></dt><dd>Gauss 300 km</dd><dt><span>postprocess_1 :</span></dt><dd>Water density used to convert to equivalent water height: 1000 kg/m^3</dd><dt><span>postprocess_2 :</span></dt><dd>Background model added back: </dd><dt><span>postprocess_3 :</span></dt><dd>Decorrelation (&#x27;de-stripe&#x27;) filter: [Swenson &amp; Wahr, 2006, doi:10.1029/2005GL025285]</dd><dt><span>postprocess_4 :</span></dt><dd>Ellipsoidal Correction has been applied [Ghobadi-Far et al., 2019; https://doi.org/10.1093/gji/ggz292]</dd><dt><span>GIA_removed :</span></dt><dd>Peltier (Ice-6G_D (updated; 06/2017!))</dd><dt><span>geocenter_correction :</span></dt><dd>Corrected; after [Sun et al., 2016, doi:10.1002/2016JB013073.]</dd><dt><span>C_20_substitution :</span></dt><dd>[Loomis et al., 2019, Geophys. Res. Lett., doi:10.1029/2019GL082929]</dd><dt><span>journal_reference :</span></dt><dd>[Landerer F.W. and S. C. Swenson, Accuracy of scaled GRACE terrestrial water storage estimates. Water Resources Research, Vol 48, W04531, 11 PP, doi:10.1029/2011WR011453, 2012.]</dd><dt><span>project :</span></dt><dd>NASA Gravity Recovery And Climate Experiment (GRACE)</dd><dt><span>program :</span></dt><dd>NASA Earth Science System Pathfinder</dd><dt><span>keywords :</span></dt><dd>Surface Mass, Mass Transport, Terrestrial Water Storage, Mass Balance, Gravity Anomaly, Sea Level, Ocean Bottom Pressure</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>institution :</span></dt><dd>UT-AUSTIN/CSR</dd><dt><span>naming_authority :</span></dt><dd>org.doi.dx</dd><dt><span>history :</span></dt><dd>Level-3 processing at JPL with GRACE Level-2 Data created at UT CSR</dd><dt><span>source :</span></dt><dd>An inversion using GRACE-A and GRACE-B measurements</dd><dt><span>platform :</span></dt><dd>GRACE-A, GRACE-B</dd><dt><span>platform_vocabulary :</span></dt><dd>NASA Global Change Master Directory platform keywords</dd><dt><span>instrument :</span></dt><dd>ACC,KBR,GPS,SCA</dd><dt><span>instrument_vocabulary :</span></dt><dd>NASA Global Change Master Directory instrument keywords</dd><dt><span>references :</span></dt><dd>Cooley, Landerer (2019), GRACE/GRACE-FO Level-3 Data Product User Handbook, JPL-D-103133.</dd><dt><span>creator_type :</span></dt><dd>group</dd><dt><span>creator_institution :</span></dt><dd>UT-AUSTIN/CSR</dd><dt><span>publisher_name :</span></dt><dd>Physical Oceanography Distributed Active Archive Center</dd><dt><span>publisher_email :</span></dt><dd>podaac@jpl.nasa.gov</dd><dt><span>publisher_url :</span></dt><dd>https://podaac.jpl.nasa.gov</dd><dt><span>publisher_type :</span></dt><dd>group</dd><dt><span>publisher_institution :</span></dt><dd>NASA/JPL</dd><dt><span>time_coverage_start :</span></dt><dd>2004-03-01T00:00:00</dd><dt><span>time_coverage_end :</span></dt><dd>2004-04-01T00:00:00</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.5</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.5</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>One degree grid</dd><dt><span>geospatial_lon_min :</span></dt><dd>0.5</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.5</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>One degree grid</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:        (lon: 360, lat: 180, time: 1, bounds: 2)\n",
       "Coordinates:\n",
       "  * lon            (lon) float64 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
       "  * lat            (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
       "  * time           (time) datetime64[ns] 2004-03-16T12:00:00\n",
       "Dimensions without coordinates: bounds\n",
       "Data variables:\n",
       "    lat_bounds     (lat, bounds) float64 ...\n",
       "    lon_bounds     (lon, bounds) float64 ...\n",
       "    time_bounds    (time, bounds) datetime64[ns] ...\n",
       "    lwe_thickness  (time, lat, lon) float64 ...\n",
       "    uncertainty    (time, lat, lon) float64 ...\n",
       "Attributes: (12/58)\n",
       "    Conventions:                     CF-1.6\n",
       "    standard_name_vocabulary:        NetCDF Climate and Forecast (CF) Metadat...\n",
       "    title:                           GRACE-FO Water-Equivalent-Thickness Surf...\n",
       "    id:                              TELND-3NC64\n",
       "    summary:                         Gridded surface mass anomalies, derived ...\n",
       "    processing_level:                3\n",
       "    ...                              ...\n",
       "    geospatial_lat_resolution:       One degree grid\n",
       "    geospatial_lon_min:              0.5\n",
       "    geospatial_lon_max:              359.5\n",
       "    geospatial_lon_units:            degrees_east\n",
       "    geospatial_lon_resolution:       One degree grid\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# you can inspect an xarray dataset by just entering the variable name and executing the cell \n",
    "csrdata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa4e5f5c-4ca5-4a06-bb59-3b2dbe21899f",
   "metadata": {},
   "source": [
    "# Step 4 make a quick plot of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "78b615c0-2d41-4bd3-9fb4-394e468d4d3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fc89de28370>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "csrdata.lwe_thickness[0,:].plot.imshow()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7feda5a6-ac8b-4147-8968-85a7f844f5a2",
   "metadata": {},
   "source": [
    "# Intermediate exercise and question\n",
    "* Try plotting a different month\n",
    "* What features which you can see relate to the water cycle?\n",
    "\n",
    "# Step 5: zoom in a specific region\n",
    "You can make use of the xarray functionality for selecting a subset of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "75a6a969-57aa-49da-8ea3-5e19e6fe2573",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fc89dcad7c0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lonmin=90\n",
    "lonmax=120\n",
    "# lonmin=220\n",
    "# lonmax=300\n",
    "\n",
    "latmin=20\n",
    "latmax=50\n",
    "\n",
    "lonselect=(csrdata.lon <= lonmax) & (csrdata.lon >= lonmin)\n",
    "latselect=(csrdata.lat <= latmax) & (csrdata.lat >= latmin)\n",
    "csrsub=csrdata.where(lonselect & latselect ,drop=True )\n",
    "\n",
    "\n",
    "csrsub.lwe_thickness[0,:].plot.imshow()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da1c192b-b45e-4fda-803b-2d2e565f4da4",
   "metadata": {},
   "source": [
    "# The grids will look quite blocky when zoomed in. For more smoother transitions try passing an interpolation option to imshow\n",
    "[see here for the options](https://matplotlib.org/stable/gallery/images_contours_and_fields/interpolation_methods.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e7e0d68-c41e-4ca0-a9ef-b095b2f825cb",
   "metadata": {},
   "source": [
    "# Exercise\n",
    "* Try out different areas where you suspect to find interesting hydrological signals"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a34639e-7f60-4884-bfd5-f027053e0151",
   "metadata": {},
   "source": [
    "# Step 6 Making better geographical plots with [cartopy](https://scitools.org.uk/cartopy/docs/latest/)\n",
    "\n",
    "The function `imshow` of xarray is internally linked [to the matplotlib function imshow](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.imshow.html#matplotlib.axes.Axes.imshow). We can however pass a so-called plotting axes-system explicitly. We can make use of this to construct a plotting axis with cartopy which uses specific [geographical projections](https://scitools.org.uk/cartopy/docs/latest/crs/projections.html)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "12b6dd69-8c37-4706-b3bb-b1f1e95264ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.feature_artist.FeatureArtist at 0x7fc89d17f4c0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpl.figure(figsize=(16,10))\n",
    "crs=ccrs.PlateCarree()\n",
    "ax = mpl.subplot(projection=crs)\n",
    "csrsub.lwe_thickness[0,:].plot.imshow(ax=ax)\n",
    "ax.coastlines(resolution='10m')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b6e1be3-c782-4b27-a7e1-5b1b300ed43f",
   "metadata": {},
   "source": [
    "# Questions/Exercises\n",
    "* Try using a [more suitable projection](https://scitools.org.uk/cartopy/docs/v0.15/crs/projections.html) for the region of interest \n",
    "* Try getting a hand on an shapefile of a large aquifer system and try plotting the aquifer system onto the map as well"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "408a51db-e109-488a-8698-0ddb9607238b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Do you know you can download file using python easily. Here's how we do it\n",
    "usaquiurl=\"https://water.usgs.gov/GIS/dsdl/aquifers_us.zip\"\n",
    "r=requests.get(usaquiurl)\n",
    "\n",
    "fout=os.path.basename(usaquiurl)\n",
    "with open(fout,\"wb\") as fid:\n",
    "    fid.write(r.content)\n",
    "\n",
    "# also extract the content\n",
    "\n",
    "with zipfile.ZipFile(fout) as zip_ref:\n",
    "    zip_ref.extractall(\"aquifers\") # extract file to dir\n",
    "\n",
    "# tar files can be done in a similar way\n",
    "# with tarfile.open(tgzout) as tar:\n",
    "#     tar.extractall(\"aquifers\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "55f9f36d-254d-482f-af37-90d4be87b17b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR 1: PROJ: proj_identify: /usr/share/proj/proj.db lacks DATABASE.LAYOUT.VERSION.MAJOR / DATABASE.LAYOUT.VERSION.MINOR metadata. It comes from another PROJ installation.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from shapely.geometry import shape\n",
    "usaqui=fiona.open(\"aquifers\",\"r\",crs=4326)\n",
    "\n",
    "mpl.figure(figsize=(16,10))\n",
    "crs=ccrs.PlateCarree()\n",
    "ax = mpl.subplot(projection=crs)\n",
    "ax.coastlines(resolution='10m')\n",
    "\n",
    "for x in usaqui:\n",
    "    if x[\"properties\"][\"Shape_Area\"] < 40:\n",
    "        continue\n",
    "    # print(x[\"geometry\"])\n",
    "    geoart=ax.add_geometries([shape(x[\"geometry\"])],crs=crs,facecolor='none',edgecolor='red',linewidth=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a08a719-de76-4f8e-a75a-9c4e33414793",
   "metadata": {},
   "source": [
    "# Advanced Questions\n",
    "* Can you create a time series of the average over a certain region by iterating over multiple input files?\n",
    "* Can you create an animation of a region including major aquifers overlaid by GRACE equivalent water heights?"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}