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    "# Horizontal Regridding\n",
    "Author: [Jason Boutte](https://github.com/jasonb5)\n",
    "\n",
    "Date: 08/24/22\n",
    "\n",
    "Related APIs:\n",
    "\n",
    "* [xarray.Dataset.regridder.horizontal](../generated/xarray.Dataset.regridder.horizontal.rst)\n",
    "\n",
    "The data used in this example can be found through the [Earth System Grid Federation (ESGF) search portal](https://aims2.llnl.gov/search).\n",
    "\n",
    "## Overview\n",
    "We'll cover horizontal regridding using the `xESMF` and `Regrid2` tools as well as various methods supported by `xESMF`."
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    "%matplotlib inline\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import xarray as xr\n",
    "import xcdat"
   ]
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    "## 1. Open the Dataset\n",
    "We are using xarray's OPeNDAP support to read a netCDF4 dataset file directly from its source. The data is not loaded over the network until we perform operations on it (e.g., temperature unit adjustment).\n",
    "\n",
    "More information on the xarray's OPeNDAP support can be found [here](https://docs.xarray.dev/en/stable/user-guide/io.html#opendap)."
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 1980, bnds: 2, lat: 64, lon: 128)\n",
       "Coordinates:\n",
       "  * time       (time) object 1850-01-16 12:00:00 ... 2014-12-16 12:00:00\n",
       "  * lat        (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "    height     float64 2.0\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2015-01-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -86.58 -86.58 ... 86.58 86.58 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -1.406 1.406 1.406 ... 355.8 355.8 358.6\n",
       "    tas        (time, lat, lon) float32 -25.04 -25.28 -25.49 ... -25.93 -25.73\n",
       "Attributes: (12/54)\n",
       "    CCCma_model_hash:                7e8e715f3f2ce47e1bab830db971c362ca329419\n",
       "    CCCma_parent_runid:              rc3.1-pictrl\n",
       "    CCCma_pycmor_hash:               33c30511acc319a98240633965a04ca99c26427e\n",
       "    CCCma_runid:                     rc3.1-his13\n",
       "    Conventions:                     CF-1.7 CMIP-6.2\n",
       "    YMDH_branch_time_in_child:       1850:01:01:00\n",
       "    ...                              ...\n",
       "    variable_id:                     tas\n",
       "    variant_label:                   r13i1p1f1\n",
       "    version:                         v20190429\n",
       "    license:                         CMIP6 model data produced by The Governm...\n",
       "    cmor_version:                    3.4.0\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-bdf6821d-b277-4f4a-8e9a-3e7db303e2d5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bdf6821d-b277-4f4a-8e9a-3e7db303e2d5' 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'>time</span>: 1980</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1c204bb9-ccfc-4964-bf19-9e627ffa20b3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1c204bb9-ccfc-4964-bf19-9e627ffa20b3' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1850-01-16 12:00:00 ... 2014-12-...</div><input id='attrs-2e0d4f21-a28c-4358-a490-9638623efb4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e0d4f21-a28c-4358-a490-9638623efb4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4f1aa62-6072-4e73-abb3-35c220c47e93' class='xr-var-data-in' type='checkbox'><label for='data-a4f1aa62-6072-4e73-abb3-35c220c47e93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_ChunkSizes :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1850, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeNoLeap(2014, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2014, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2014, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</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'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-edb9051b-6f04-4134-b7d0-101a63a019d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-edb9051b-6f04-4134-b7d0-101a63a019d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa54f0b8-7ef1-4b5d-97f4-1d5d35e35848' class='xr-var-data-in' type='checkbox'><label for='data-aa54f0b8-7ef1-4b5d-97f4-1d5d35e35848' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
       "       -71.157752, -68.367756, -65.577607, -62.787352, -59.99702 , -57.206632,\n",
       "       -54.4162  , -51.625734, -48.835241, -46.044727, -43.254195, -40.463648,\n",
       "       -37.67309 , -34.882521, -32.091944, -29.30136 , -26.510769, -23.720174,\n",
       "       -20.929574, -18.138971, -15.348365, -12.557756,  -9.767146,  -6.976534,\n",
       "        -4.185921,  -1.395307,   1.395307,   4.185921,   6.976534,   9.767146,\n",
       "        12.557756,  15.348365,  18.138971,  20.929574,  23.720174,  26.510769,\n",
       "        29.30136 ,  32.091944,  34.882521,  37.67309 ,  40.463648,  43.254195,\n",
       "        46.044727,  48.835241,  51.625734,  54.4162  ,  57.206632,  59.99702 ,\n",
       "        62.787352,  65.577607,  68.367756,  71.157752,  73.947515,  76.7369  ,\n",
       "        79.525607,  82.312913,  85.096527,  87.863799])</pre></div></li><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'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-84c1a938-39b8-4b51-92e7-278faec42649' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84c1a938-39b8-4b51-92e7-278faec42649' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e14fba9-5a5c-4cc9-91e2-8c1163ff7154' class='xr-var-data-in' type='checkbox'><label for='data-3e14fba9-5a5c-4cc9-91e2-8c1163ff7154' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
       "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
       "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
       "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
       "        78.75  ,  81.5625,  84.375 ,  87.1875,  90.    ,  92.8125,  95.625 ,\n",
       "        98.4375, 101.25  , 104.0625, 106.875 , 109.6875, 112.5   , 115.3125,\n",
       "       118.125 , 120.9375, 123.75  , 126.5625, 129.375 , 132.1875, 135.    ,\n",
       "       137.8125, 140.625 , 143.4375, 146.25  , 149.0625, 151.875 , 154.6875,\n",
       "       157.5   , 160.3125, 163.125 , 165.9375, 168.75  , 171.5625, 174.375 ,\n",
       "       177.1875, 180.    , 182.8125, 185.625 , 188.4375, 191.25  , 194.0625,\n",
       "       196.875 , 199.6875, 202.5   , 205.3125, 208.125 , 210.9375, 213.75  ,\n",
       "       216.5625, 219.375 , 222.1875, 225.    , 227.8125, 230.625 , 233.4375,\n",
       "       236.25  , 239.0625, 241.875 , 244.6875, 247.5   , 250.3125, 253.125 ,\n",
       "       255.9375, 258.75  , 261.5625, 264.375 , 267.1875, 270.    , 272.8125,\n",
       "       275.625 , 278.4375, 281.25  , 284.0625, 286.875 , 289.6875, 292.5   ,\n",
       "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
       "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
       "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
       "       354.375 , 357.1875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-de849d63-d056-4461-989d-9e6cab217837' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de849d63-d056-4461-989d-9e6cab217837' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-840e6b0d-d47a-472e-a191-84f3dc7731b6' class='xr-var-data-in' type='checkbox'><label for='data-840e6b0d-d47a-472e-a191-84f3dc7731b6' title='Show/Hide data repr'><svg 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>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26343cb5-3ef8-48a7-94c1-dd492f0cef83' class='xr-section-summary-in' type='checkbox'  checked><label for='section-26343cb5-3ef8-48a7-94c1-dd492f0cef83' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a0260c0-2db0-4edd-bd45-9aa366cc8b7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a0260c0-2db0-4edd-bd45-9aa366cc8b7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ddd8c9e-0aec-4d11-9bc0-765325ca2fc1' class='xr-var-data-in' type='checkbox'><label for='data-7ddd8c9e-0aec-4d11-9bc0-765325ca2fc1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_ChunkSizes :</span></dt><dd>[1 2]</dd></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1850, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2014, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2014, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2014, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2014, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2014, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2015, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc7ee036-4d1e-44a2-9c3b-a046d5ceb02e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc7ee036-4d1e-44a2-9c3b-a046d5ceb02e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de73fc76-c9cf-40a0-ba86-225aeb00fcbc' class='xr-var-data-in' type='checkbox'><label for='data-de73fc76-c9cf-40a0-ba86-225aeb00fcbc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_ChunkSizes :</span></dt><dd>[64  2]</dd></dl></div><div class='xr-var-data'><pre>array([[-90.      , -86.577748],\n",
       "       [-86.577748, -83.757029],\n",
       "       [-83.757029, -80.95502 ],\n",
       "       [-80.95502 , -78.158348],\n",
       "       [-78.158348, -75.363939],\n",
       "       [-75.363939, -72.5707  ],\n",
       "       [-72.5707  , -69.778146],\n",
       "       [-69.778146, -66.986027],\n",
       "       [-66.986027, -64.1942  ],\n",
       "       [-64.1942  , -61.402581],\n",
       "       [-61.402581, -58.611113],\n",
       "       [-58.611113, -55.819759],\n",
       "       [-55.819759, -53.028493],\n",
       "       [-53.028493, -50.237296],\n",
       "       [-50.237296, -47.446155],\n",
       "       [-47.446155, -44.655058],\n",
       "       [-44.655058, -41.863998],\n",
       "       [-41.863998, -39.072968],\n",
       "       [-39.072968, -36.281964],\n",
       "       [-36.281964, -33.490981],\n",
       "       [-33.490981, -30.700015],\n",
       "       [-30.700015, -27.909065],\n",
       "       [-27.909065, -25.118127],\n",
       "       [-25.118127, -22.3272  ],\n",
       "       [-22.3272  , -19.536283],\n",
       "       [-19.536283, -16.745372],\n",
       "       [-16.745372, -13.954468],\n",
       "       [-13.954468, -11.163569],\n",
       "       [-11.163569,  -8.372673],\n",
       "       [ -8.372673,  -5.581781],\n",
       "       [ -5.581781,  -2.79089 ],\n",
       "       [ -2.79089 ,   0.      ],\n",
       "       [  0.      ,   2.79089 ],\n",
       "       [  2.79089 ,   5.581781],\n",
       "       [  5.581781,   8.372673],\n",
       "       [  8.372673,  11.163569],\n",
       "       [ 11.163569,  13.954468],\n",
       "       [ 13.954468,  16.745372],\n",
       "       [ 16.745372,  19.536283],\n",
       "       [ 19.536283,  22.3272  ],\n",
       "       [ 22.3272  ,  25.118127],\n",
       "       [ 25.118127,  27.909065],\n",
       "       [ 27.909065,  30.700015],\n",
       "       [ 30.700015,  33.490981],\n",
       "       [ 33.490981,  36.281964],\n",
       "       [ 36.281964,  39.072968],\n",
       "       [ 39.072968,  41.863998],\n",
       "       [ 41.863998,  44.655058],\n",
       "       [ 44.655058,  47.446155],\n",
       "       [ 47.446155,  50.237296],\n",
       "       [ 50.237296,  53.028493],\n",
       "       [ 53.028493,  55.819759],\n",
       "       [ 55.819759,  58.611113],\n",
       "       [ 58.611113,  61.402581],\n",
       "       [ 61.402581,  64.1942  ],\n",
       "       [ 64.1942  ,  66.986027],\n",
       "       [ 66.986027,  69.778146],\n",
       "       [ 69.778146,  72.5707  ],\n",
       "       [ 72.5707  ,  75.363939],\n",
       "       [ 75.363939,  78.158348],\n",
       "       [ 78.158348,  80.95502 ],\n",
       "       [ 80.95502 ,  83.757029],\n",
       "       [ 83.757029,  86.577748],\n",
       "       [ 86.577748,  90.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3af37df1-cb30-41da-b63f-9ca487daa6c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3af37df1-cb30-41da-b63f-9ca487daa6c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5f79225-b905-4b1a-815f-494dda3511b6' class='xr-var-data-in' type='checkbox'><label for='data-a5f79225-b905-4b1a-815f-494dda3511b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_ChunkSizes :</span></dt><dd>[128   2]</dd></dl></div><div class='xr-var-data'><pre>array([[ -1.40625,   1.40625],\n",
       "       [  1.40625,   4.21875],\n",
       "       [  4.21875,   7.03125],\n",
       "       ...,\n",
       "       [350.15625, 352.96875],\n",
       "       [352.96875, 355.78125],\n",
       "       [355.78125, 358.59375]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-25.04 -25.28 ... -25.93 -25.73</div><input id='attrs-dca40c23-b10f-4d23-a22a-4520c506fa73' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dca40c23-b10f-4d23-a22a-4520c506fa73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebb62531-75f2-4124-a608-b1a035bf6b69' class='xr-var-data-in' type='checkbox'><label for='data-ebb62531-75f2-4124-a608-b1a035bf6b69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[-25.037369 , -25.282318 , -25.486496 , ..., -24.353714 ,\n",
       "         -24.568115 , -24.791412 ],\n",
       "        [-25.264755 , -25.706207 , -26.121796 , ..., -23.518753 ,\n",
       "         -24.179092 , -24.77893  ],\n",
       "        [-25.996185 , -26.624847 , -27.153473 , ..., -23.887497 ,\n",
       "         -24.71547  , -25.40622  ],\n",
       "        ...,\n",
       "        [-28.011383 , -27.286713 , -26.601288 , ..., -30.860977 ,\n",
       "         -29.719254 , -28.752396 ],\n",
       "        [-31.862854 , -31.567673 , -31.337738 , ..., -33.22708  ,\n",
       "         -32.68077  , -32.250732 ],\n",
       "        [-34.804337 , -34.77585  , -34.70067  , ..., -34.937286 ,\n",
       "         -34.881256 , -34.840027 ]],\n",
       "\n",
       "       [[-37.976395 , -38.28116  , -38.560623 , ..., -37.096115 ,\n",
       "         -37.39383  , -37.679016 ],\n",
       "        [-37.500412 , -38.082382 , -38.622055 , ..., -35.343414 ,\n",
       "         -36.128418 , -36.843704 ],\n",
       "        [-37.440628 , -38.008743 , -38.567123 , ..., -34.896835 ,\n",
       "         -35.91678  , -36.70398  ],\n",
       "...\n",
       "        [-14.7323   , -13.903564 , -13.1441345, ..., -17.66275  ,\n",
       "         -16.601227 , -15.643188 ],\n",
       "        [-17.038177 , -16.638824 , -16.303406 , ..., -18.421432 ,\n",
       "         -17.960098 , -17.538132 ],\n",
       "        [-17.503311 , -17.435165 , -17.403336 , ..., -17.775269 ,\n",
       "         -17.612091 , -17.538391 ]],\n",
       "\n",
       "       [[-21.008774 , -21.205353 , -21.399887 , ..., -20.388199 ,\n",
       "         -20.631424 , -20.8031   ],\n",
       "        [-20.840546 , -21.315796 , -21.771866 , ..., -19.218445 ,\n",
       "         -19.808823 , -20.312347 ],\n",
       "        [-22.0056   , -22.56575  , -23.177704 , ..., -19.8275   ,\n",
       "         -20.611603 , -21.334946 ],\n",
       "        ...,\n",
       "        [-25.453384 , -24.7482   , -24.30275  , ..., -27.686234 ,\n",
       "         -27.035156 , -26.321716 ],\n",
       "        [-26.298218 , -26.126297 , -26.042725 , ..., -26.865417 ,\n",
       "         -26.55391  , -26.330017 ],\n",
       "        [-25.49556  , -25.292877 , -25.101334 , ..., -26.078476 ,\n",
       "         -25.928223 , -25.730606 ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d0cbc71-92fa-4ae7-afd9-25d2d8df4a4e' class='xr-section-summary-in' type='checkbox'  ><label for='section-3d0cbc71-92fa-4ae7-afd9-25d2d8df4a4e' class='xr-section-summary' >Attributes: <span>(54)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CCCma_model_hash :</span></dt><dd>7e8e715f3f2ce47e1bab830db971c362ca329419</dd><dt><span>CCCma_parent_runid :</span></dt><dd>rc3.1-pictrl</dd><dt><span>CCCma_pycmor_hash :</span></dt><dd>33c30511acc319a98240633965a04ca99c26427e</dd><dt><span>CCCma_runid :</span></dt><dd>rc3.1-his13</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>YMDH_branch_time_in_child :</span></dt><dd>1850:01:01:00</dd><dt><span>YMDH_branch_time_in_parent :</span></dt><dd>5801:01:01:00</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>Spin-up documentation</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>1442115.0</dd><dt><span>contact :</span></dt><dd>ec.cccma.info-info.ccmac.ec@canada.ca</dd><dt><span>creation_date :</span></dt><dd>2019-04-30T17:48:16Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.29</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.CCCma.CanESM5.historical.none.r13i1p1f1</dd><dt><span>grid :</span></dt><dd>T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2019-04-30T17:48:16Z ;rewrote data to be consistent with CMIP for variable tas found in table Amon.;\n",
       "Output from $runid</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>500 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>CanESM5</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01 0:0:0.0</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>13</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>Geophysical Model Development Special issue on CanESM5 (https://www.geosci-model-dev.net/special_issues.html)</dd><dt><span>source :</span></dt><dd>CanESM5 (2019): \n",
       "aerosol: interactive\n",
       "atmos: CanAM5 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa)\n",
       "atmosChem: specified oxidants for aerosols\n",
       "land: CLASS3.6/CTEM1.2\n",
       "landIce: specified ice sheets\n",
       "ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m)\n",
       "ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry\n",
       "seaIce: LIM2</dd><dt><span>source_id :</span></dt><dd>CanESM5</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>Amon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(20 February 2019) MD5:374fbe5a2bcca535c40f7f23da271e49</dd><dt><span>title :</span></dt><dd>CanESM5 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/4ae59a18-a287-484e-9b19-3251995df5f6</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r13i1p1f1</dd><dt><span>version :</span></dt><dd>v20190429</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by The Government of Canada (Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada) is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 1980, bnds: 2, lat: 64, lon: 128)\n",
       "Coordinates:\n",
       "  * time       (time) object 1850-01-16 12:00:00 ... 2014-12-16 12:00:00\n",
       "  * lat        (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "    height     float64 2.0\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object ...\n",
       "    lat_bnds   (lat, bnds) float64 ...\n",
       "    lon_bnds   (lon, bnds) float64 ...\n",
       "    tas        (time, lat, lon) float32 -25.04 -25.28 -25.49 ... -25.93 -25.73\n",
       "Attributes: (12/54)\n",
       "    CCCma_model_hash:                7e8e715f3f2ce47e1bab830db971c362ca329419\n",
       "    CCCma_parent_runid:              rc3.1-pictrl\n",
       "    CCCma_pycmor_hash:               33c30511acc319a98240633965a04ca99c26427e\n",
       "    CCCma_runid:                     rc3.1-his13\n",
       "    Conventions:                     CF-1.7 CMIP-6.2\n",
       "    YMDH_branch_time_in_child:       1850:01:01:00\n",
       "    ...                              ...\n",
       "    variable_id:                     tas\n",
       "    variant_label:                   r13i1p1f1\n",
       "    version:                         v20190429\n",
       "    license:                         CMIP6 model data produced by The Governm...\n",
       "    cmor_version:                    3.4.0\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filepath = 'http://aims3.llnl.gov/thredds/dodsC/css03_data/CMIP6/CMIP/CCCma/CanESM5/historical/r13i1p1f1/Amon/tas/gn/v20190429/tas_Amon_CanESM5_historical_r13i1p1f1_gn_185001-201412.nc'\n",
    "\n",
    "ds = xcdat.open_dataset(filepath)\n",
    "\n",
    "# Unit adjust (-273.15, K to C)\n",
    "ds['tas'] = ds['tas'] - 273.15\n",
    "\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1aa0dc89-d664-4721-8759-45065060a5b1",
   "metadata": {},
   "source": [
    "## 2. Create the output grid\n",
    "Related API: [xcdat.create_gaussian_grid()](../generated/xcdat.create_gaussian_grid.rst)\n",
    "\n",
    "In this example, we will generate a gaussian grid with 32 latitudes to regrid our input data to."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fa068496-6792-4305-9629-af8ef9666755",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "output_grid = xcdat.create_gaussian_grid(32)\n",
    "\n",
    "fig, axes = plt.subplots(ncols=2, figsize=(16, 4))\n",
    "\n",
    "ds.regridder.grid.plot.scatter('lon', 'lat', s=0.01, ax=axes[0])\n",
    "axes[0].set_title('Input Grid')\n",
    "\n",
    "output_grid.plot.scatter('lon', 'lat', s=0.1, ax=axes[1])\n",
    "axes[1].set_title('Output Grid')\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d5fe21a-85ef-4737-95fd-0a0868e89579",
   "metadata": {},
   "source": [
    "## 3. Regrid the data\n",
    "Related API: [xarray.Dataset.regridder.horizontal()](../generated/xarray.Dataset.regridder.horizontal.rst)\n",
    "\n",
    "Here we will regrid the input data to the ouptut grid using the `xESMF` tool and the `bilinear` method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1d6e998b-0209-4eae-a0e1-1d984bc0486b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "output = ds.regridder.horizontal('tas', output_grid, tool='xesmf', method='bilinear')\n",
    "\n",
    "fig, axes = plt.subplots(ncols=2, figsize=(16, 4))\n",
    "\n",
    "ds.tas.isel(time=0).plot(ax=axes[0])\n",
    "axes[0].set_title('Input data')\n",
    "\n",
    "output.tas.isel(time=0).plot(ax=axes[1])\n",
    "axes[1].set_title('Output data')\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4084129e-dd96-4d0d-ae01-4a66f897e4e5",
   "metadata": {},
   "source": [
    "## 4. Regridding algorithms\n",
    "Related API: [xarray.Dataset.regridder.horizontal()](../generated/xarray.Dataset.regridder.horizontal.rst)\n",
    "\n",
    "In this example, we will compare the different regridding methods supported by `xESMF`.\n",
    "\n",
    "You can find a more in depth comparison on `xESMF`'s [documentation](https://pangeo-xesmf.readthedocs.io/en/latest/notebooks/Compare_algorithms.html).\n",
    "\n",
    "Methods:\n",
    "\n",
    "* bilinear\n",
    "* conservative\n",
    "* nearest_s2d\n",
    "* nearest_d2s\n",
    "* patch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2e772a72-09b8-4367-a416-86b180d8a402",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x864 with 11 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "methods = ['bilinear', 'conservative', 'nearest_s2d', 'nearest_d2s', 'patch']\n",
    "\n",
    "fig, axes = plt.subplots(3, 2, figsize=(16, 12))\n",
    "\n",
    "axes = axes.flatten()\n",
    "\n",
    "for i, method in enumerate(methods):\n",
    "    output = ds.regridder.horizontal('tas', output_grid, tool='xesmf', method=method)\n",
    "\n",
    "    output.tas.isel(time=0).plot(ax=axes[i])\n",
    "\n",
    "    axes[i].set_title(method)\n",
    "\n",
    "axes[-1].set_visible(False)\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92685e37-ed43-42c2-b9b3-8b4722075ebc",
   "metadata": {},
   "source": [
    "## 5. Masking\n",
    "Related API: [xarray.Dataset.regridder.horizontal()](../generated/xarray.Dataset.regridder.horizontal.rst)\n",
    "\n",
    "`xESMF` supports masking by simply adding a data variable with the id `mask`.\n",
    "\n",
    "See `xESMF` [documentation](https://pangeo-xesmf.readthedocs.io/en/latest/notebooks/Masking.html) for additonal details."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9d91d333-870d-4e77-91a6-f8eec58b7e19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1296x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds['mask'] = xr.where(ds.tas.isel(time=0)<-10, 1, 0)\n",
    "\n",
    "masked_output = ds.regridder.horizontal('tas', output_grid, tool='xesmf', method='bilinear')\n",
    "\n",
    "fig, axes = plt.subplots(ncols=2, figsize=(18, 4))\n",
    "\n",
    "ds['mask'].plot(ax=axes[0], cmap='binary_r')\n",
    "axes[0].set_title('Mask')\n",
    "\n",
    "masked_output.tas.isel(time=0).plot(ax=axes[1])\n",
    "axes[1].set_title('Masked output')\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99daebe0-0b0d-4a88-988a-5e2d685de80d",
   "metadata": {},
   "source": [
    "## 6. Regridding using `regrid2`\n",
    "Related API: [xarray.Dataset.regridder.horizontal()](../generated/xarray.Dataset.regridder.horizontal.rst)\n",
    "\n",
    "`Regrid2` is a conservative regridder for rectilinear (lat/lon) grids originally from the `cdutil` package from `CDAT`.\n",
    "\n",
    "`Regrid2` assumes constant latitude lines when generating weights."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0bf6bcab-264d-4687-a755-0de7c5b4c4fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f99e576fca0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "output = ds.regridder.horizontal('tas', output_grid, tool='regrid2')\n",
    "\n",
    "fig, axes = plt.subplots(ncols=2, figsize=(16, 4))\n",
    "\n",
    "ds.tas.isel(time=0).plot(ax=axes[0])\n",
    "\n",
    "output.tas.isel(time=0).plot(ax=axes[1])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.13 ('xcdat_dev')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  },
  "vscode": {
   "interpreter": {
    "hash": "937205ea97caa5d37934716e0a0c6b9e4ffcdaf6e0f20ca1ff82361fb532cef2"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}