{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Regrid between curvilinear grids\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import xesmf as xe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prepare data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Input data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we regrid the built-in \"rasm\" demo data. This data is used by another\n",
    "[xarray tutorial](http://xarray.pydata.org/en/stable/examples/multidimensional-coords.html#examples-multidim).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 17MB\n",
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       "    title:                     /workspace/jhamman/processed/R1002RBRxaaa01a/l...\n",
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       "    nco_openmp_thread_number:  1\n",
       "    NCO:                       netCDF Operators version 4.7.9 (Homepage = htt...\n",
       "    history:                   Fri Aug  7 17:57:38 2020: ncatted -a bounds,,d...</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-a52067d3-75a0-42c3-96e3-06c42c60ef7a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a52067d3-75a0-42c3-96e3-06c42c60ef7a' 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>: 36</li><li><span>y</span>: 205</li><li><span>x</span>: 275</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cd71f539-01a3-4f49-9fc8-60f1c9b54e37' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cd71f539-01a3-4f49-9fc8-60f1c9b54e37' 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'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-09-16 12:00:00 ... 1983-08-...</div><input id='attrs-6cb23a94-4c50-4ed5-916e-d675212ec6ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cb23a94-4c50-4ed5-916e-d675212ec6ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04f0391c-fee8-4ce9-b0f4-f391759dd874' class='xr-var-data-in' type='checkbox'><label for='data-04f0391c-fee8-4ce9-b0f4-f391759dd874' title='Show/Hide data repr'><svg 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>type_preferred :</span></dt><dd>int</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1980, 9, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1980, 10, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1980, 11, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1980, 12, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 2, 15, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 3, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 4, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 5, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 6, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 7, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 8, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 9, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 10, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 11, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 2, 15, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 3, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 4, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 5, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 6, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 7, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 8, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 9, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 10, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 11, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 12, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 2, 15, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 3, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 4, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 5, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 6, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 7, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 8, 17, 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>xc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9e624362-1a21-48b5-bc21-cbde65bd72de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e624362-1a21-48b5-bc21-cbde65bd72de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccab5462-9e4a-4951-b7f2-3bc1ae38f505' class='xr-var-data-in' type='checkbox'><label for='data-ccab5462-9e4a-4951-b7f2-3bc1ae38f505' title='Show/Hide data repr'><svg 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 of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[56375 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-22666c0c-5094-46a1-8822-ad59a5b8d603' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22666c0c-5094-46a1-8822-ad59a5b8d603' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14a8166a-a2e2-49f9-a4c8-b5e8296b44c8' class='xr-var-data-in' type='checkbox'><label for='data-14a8166a-a2e2-49f9-a4c8-b5e8296b44c8' title='Show/Hide data repr'><svg 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 of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[56375 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-09264256-3ec9-4d89-bd61-753f15404f70' class='xr-section-summary-in' type='checkbox'  checked><label for='section-09264256-3ec9-4d89-bd61-753f15404f70' class='xr-section-summary' >Data variables: <span>(1)</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>Tair</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-23e875ee-c06a-49e1-bd62-6335bafcb0f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23e875ee-c06a-49e1-bd62-6335bafcb0f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0aedc708-db45-4f0d-8c59-4ab6121c5c3c' class='xr-var-data-in' type='checkbox'><label for='data-0aedc708-db45-4f0d-8c59-4ab6121c5c3c' title='Show/Hide data repr'><svg 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>C</dd><dt><span>long_name :</span></dt><dd>Surface air temperature</dd><dt><span>type_preferred :</span></dt><dd>double</dd><dt><span>time_rep :</span></dt><dd>instantaneous</dd></dl></div><div class='xr-var-data'><pre>[2029500 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e5450448-713f-4610-bb3f-f57c9450944d' class='xr-section-summary-in' type='checkbox'  ><label for='section-e5450448-713f-4610-bb3f-f57c9450944d' class='xr-section-summary' >Indexes: <span>(1)</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>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2d15e1d5-86b4-4b86-8af4-7ee9a83f015a' class='xr-index-data-in' type='checkbox'/><label for='index-2d15e1d5-86b4-4b86-8af4-7ee9a83f015a' 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(CFTimeIndex([1980-09-16 12:00:00, 1980-10-17 00:00:00, 1980-11-16 12:00:00,\n",
       "             1980-12-17 00:00:00, 1981-01-17 00:00:00, 1981-02-15 12:00:00,\n",
       "             1981-03-17 00:00:00, 1981-04-16 12:00:00, 1981-05-17 00:00:00,\n",
       "             1981-06-16 12:00:00, 1981-07-17 00:00:00, 1981-08-17 00:00:00,\n",
       "             1981-09-16 12:00:00, 1981-10-17 00:00:00, 1981-11-16 12:00:00,\n",
       "             1981-12-17 00:00:00, 1982-01-17 00:00:00, 1982-02-15 12:00:00,\n",
       "             1982-03-17 00:00:00, 1982-04-16 12:00:00, 1982-05-17 00:00:00,\n",
       "             1982-06-16 12:00:00, 1982-07-17 00:00:00, 1982-08-17 00:00:00,\n",
       "             1982-09-16 12:00:00, 1982-10-17 00:00:00, 1982-11-16 12:00:00,\n",
       "             1982-12-17 00:00:00, 1983-01-17 00:00:00, 1983-02-15 12:00:00,\n",
       "             1983-03-17 00:00:00, 1983-04-16 12:00:00, 1983-05-17 00:00:00,\n",
       "             1983-06-16 12:00:00, 1983-07-17 00:00:00, 1983-08-17 00:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=36, calendar=&#x27;noleap&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1a8cbc06-4106-44b2-809f-2a441b7b7eb7' class='xr-section-summary-in' type='checkbox'  ><label for='section-1a8cbc06-4106-44b2-809f-2a441b7b7eb7' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>/workspace/jhamman/processed/R1002RBRxaaa01a/lnd/temp/R1002RBRxaaa01a.vic.ha.1979-09-01.nc</dd><dt><span>institution :</span></dt><dd>U.W.</dd><dt><span>source :</span></dt><dd>RACM R1002RBRxaaa01a</dd><dt><span>output_frequency :</span></dt><dd>daily</dd><dt><span>output_mode :</span></dt><dd>averaged</dd><dt><span>convention :</span></dt><dd>CF-1.4</dd><dt><span>references :</span></dt><dd>Based on the initial model of Liang et al., 1994, JGR, 99, 14,415- 14,429.</dd><dt><span>comment :</span></dt><dd>Output from the Variable Infiltration Capacity (VIC) model.</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 4.7.9 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd><dt><span>history :</span></dt><dd>Fri Aug  7 17:57:38 2020: ncatted -a bounds,,d,, rasm.nc\n",
       "Tue Dec 27 14:15:22 2016: ncatted -a dimensions,,d,, rasm.nc rasm.nc\n",
       "Tue Dec 27 13:38:40 2016: ncks -3 rasm.nc rasm.nc\n",
       "history deleted for brevity</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 17MB\n",
       "Dimensions:  (time: 36, y: 205, x: 275)\n",
       "Coordinates:\n",
       "  * time     (time) object 288B 1980-09-16 12:00:00 ... 1983-08-17 00:00:00\n",
       "    xc       (y, x) float64 451kB ...\n",
       "    yc       (y, x) float64 451kB ...\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    Tair     (time, y, x) float64 16MB ...\n",
       "Attributes:\n",
       "    title:                     /workspace/jhamman/processed/R1002RBRxaaa01a/l...\n",
       "    institution:               U.W.\n",
       "    source:                    RACM R1002RBRxaaa01a\n",
       "    output_frequency:          daily\n",
       "    output_mode:               averaged\n",
       "    convention:                CF-1.4\n",
       "    references:                Based on the initial model of Liang et al., 19...\n",
       "    comment:                   Output from the Variable Infiltration Capacity...\n",
       "    nco_openmp_thread_number:  1\n",
       "    NCO:                       netCDF Operators version 4.7.9 (Homepage = htt...\n",
       "    history:                   Fri Aug  7 17:57:38 2020: ncatted -a bounds,,d..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = xr.tutorial.open_dataset(\n",
    "    \"rasm\"\n",
    ")  # use xr.tutorial.load_dataset() for xarray<v0.11.0\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is the surface air temperature data, with `nan` over the ocean.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\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",
       "  border-color: var(--xr-background-color-row-even);\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",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\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-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\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",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;Tair&#x27; (time: 36, y: 205, x: 275)&gt; Size: 16MB\n",
       "[2029500 values with dtype=float64]\n",
       "Coordinates:\n",
       "  * time     (time) object 288B 1980-09-16 12:00:00 ... 1983-08-17 00:00:00\n",
       "    xc       (y, x) float64 451kB ...\n",
       "    yc       (y, x) float64 451kB ...\n",
       "Dimensions without coordinates: y, x\n",
       "Attributes:\n",
       "    units:           C\n",
       "    long_name:       Surface air temperature\n",
       "    type_preferred:  double\n",
       "    time_rep:        instantaneous</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'>'Tair'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 36</li><li><span>y</span>: 205</li><li><span>x</span>: 275</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5a7ea297-2ca4-4575-a70e-2262e6a1ddc5' class='xr-array-in' type='checkbox' checked><label for='section-5a7ea297-2ca4-4575-a70e-2262e6a1ddc5' 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>[2029500 values with dtype=float64]</pre></div></div></li><li class='xr-section-item'><input id='section-21fa50b6-29aa-4532-9bff-4ddd4dff6d6d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-21fa50b6-29aa-4532-9bff-4ddd4dff6d6d' 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'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-09-16 12:00:00 ... 1983-08-...</div><input id='attrs-3351f6a5-82da-44a8-ad7e-647a51b23981' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3351f6a5-82da-44a8-ad7e-647a51b23981' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaeef40f-294a-453c-bf89-d65f4c9c2685' class='xr-var-data-in' type='checkbox'><label for='data-aaeef40f-294a-453c-bf89-d65f4c9c2685' title='Show/Hide data repr'><svg 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>type_preferred :</span></dt><dd>int</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1980, 9, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1980, 10, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1980, 11, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1980, 12, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 2, 15, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 3, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 4, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 5, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 6, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 7, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 8, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 9, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 10, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 11, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 2, 15, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 3, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 4, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 5, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 6, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 7, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 8, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 9, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 10, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 11, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 12, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 2, 15, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 3, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 4, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 5, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 6, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 7, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 8, 17, 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>xc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-83542414-2742-41a4-bc67-333c84671a38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83542414-2742-41a4-bc67-333c84671a38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2270829-b41a-487d-8fae-ad70f57e7c86' class='xr-var-data-in' type='checkbox'><label for='data-b2270829-b41a-487d-8fae-ad70f57e7c86' title='Show/Hide data repr'><svg 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 of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[56375 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a84fec2-ff7f-47c9-b399-db8ac36770f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a84fec2-ff7f-47c9-b399-db8ac36770f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1629cd5a-c91c-489d-abac-82d7790fffed' class='xr-var-data-in' type='checkbox'><label for='data-1629cd5a-c91c-489d-abac-82d7790fffed' title='Show/Hide data repr'><svg 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 of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[56375 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c4c070e7-ac37-49e6-b19b-ea0c286de98f' class='xr-section-summary-in' type='checkbox'  ><label for='section-c4c070e7-ac37-49e6-b19b-ea0c286de98f' class='xr-section-summary' >Indexes: <span>(1)</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>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9940edde-53ca-4ff6-be6b-8f1ecf90cb47' class='xr-index-data-in' type='checkbox'/><label for='index-9940edde-53ca-4ff6-be6b-8f1ecf90cb47' 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(CFTimeIndex([1980-09-16 12:00:00, 1980-10-17 00:00:00, 1980-11-16 12:00:00,\n",
       "             1980-12-17 00:00:00, 1981-01-17 00:00:00, 1981-02-15 12:00:00,\n",
       "             1981-03-17 00:00:00, 1981-04-16 12:00:00, 1981-05-17 00:00:00,\n",
       "             1981-06-16 12:00:00, 1981-07-17 00:00:00, 1981-08-17 00:00:00,\n",
       "             1981-09-16 12:00:00, 1981-10-17 00:00:00, 1981-11-16 12:00:00,\n",
       "             1981-12-17 00:00:00, 1982-01-17 00:00:00, 1982-02-15 12:00:00,\n",
       "             1982-03-17 00:00:00, 1982-04-16 12:00:00, 1982-05-17 00:00:00,\n",
       "             1982-06-16 12:00:00, 1982-07-17 00:00:00, 1982-08-17 00:00:00,\n",
       "             1982-09-16 12:00:00, 1982-10-17 00:00:00, 1982-11-16 12:00:00,\n",
       "             1982-12-17 00:00:00, 1983-01-17 00:00:00, 1983-02-15 12:00:00,\n",
       "             1983-03-17 00:00:00, 1983-04-16 12:00:00, 1983-05-17 00:00:00,\n",
       "             1983-06-16 12:00:00, 1983-07-17 00:00:00, 1983-08-17 00:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=36, calendar=&#x27;noleap&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ca4b6778-b16d-4ee2-8549-c7d458ce4e9e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ca4b6778-b16d-4ee2-8549-c7d458ce4e9e' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>C</dd><dt><span>long_name :</span></dt><dd>Surface air temperature</dd><dt><span>type_preferred :</span></dt><dd>double</dd><dt><span>time_rep :</span></dt><dd>instantaneous</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'Tair' (time: 36, y: 205, x: 275)> Size: 16MB\n",
       "[2029500 values with dtype=float64]\n",
       "Coordinates:\n",
       "  * time     (time) object 288B 1980-09-16 12:00:00 ... 1983-08-17 00:00:00\n",
       "    xc       (y, x) float64 451kB ...\n",
       "    yc       (y, x) float64 451kB ...\n",
       "Dimensions without coordinates: y, x\n",
       "Attributes:\n",
       "    units:           C\n",
       "    long_name:       Surface air temperature\n",
       "    type_preferred:  double\n",
       "    time_rep:        instantaneous"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dr = ds[\"Tair\"]\n",
    "dr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.feature_artist.FeatureArtist at 0x775e01b9deb0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 2))\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "dr[0].plot.pcolormesh(ax=ax, x=\"xc\", y=\"yc\")\n",
    "ax.coastlines()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Input grid\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`xc` and `yc` are longitude and latitude values. They are both 2D arrays,\n",
    "describing a curvilinear grid over high-latitudes. Note that it is totally fine\n",
    "for a grid to span over the south or north pole. ESMF performs regridding in the\n",
    "Cartesian space (x, y, z) so there will be no polar singularities.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'lat')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(ds[\"xc\"], ds[\"yc\"], s=0.01)  # plot grid locations\n",
    "plt.ylim([-90, 90])\n",
    "plt.xlabel(\"lon\")\n",
    "plt.ylabel(\"lat\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We need to rename the coordinate names to `lon` and `lat` because xESMF has no\n",
    "way to guess variable meaning.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
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       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
       "  );\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\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",
       "  border-color: var(--xr-background-color-row-even);\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",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\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-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\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",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 17MB\n",
       "Dimensions:  (time: 36, y: 205, x: 275)\n",
       "Coordinates:\n",
       "  * time     (time) object 288B 1980-09-16 12:00:00 ... 1983-08-17 00:00:00\n",
       "    lon      (y, x) float64 451kB 189.2 189.4 189.6 189.7 ... 17.4 17.15 16.91\n",
       "    lat      (y, x) float64 451kB 16.53 16.78 17.02 17.27 ... 28.01 27.76 27.51\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    Tair     (time, y, x) float64 16MB ...\n",
       "Attributes:\n",
       "    title:                     /workspace/jhamman/processed/R1002RBRxaaa01a/l...\n",
       "    institution:               U.W.\n",
       "    source:                    RACM R1002RBRxaaa01a\n",
       "    output_frequency:          daily\n",
       "    output_mode:               averaged\n",
       "    convention:                CF-1.4\n",
       "    references:                Based on the initial model of Liang et al., 19...\n",
       "    comment:                   Output from the Variable Infiltration Capacity...\n",
       "    nco_openmp_thread_number:  1\n",
       "    NCO:                       netCDF Operators version 4.7.9 (Homepage = htt...\n",
       "    history:                   Fri Aug  7 17:57:38 2020: ncatted -a bounds,,d...</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-1777b4a4-3759-41d5-bd0a-da9713f44e0d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1777b4a4-3759-41d5-bd0a-da9713f44e0d' 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>: 36</li><li><span>y</span>: 205</li><li><span>x</span>: 275</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8beb9e34-2351-4f8f-949c-dc6ad36da314' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8beb9e34-2351-4f8f-949c-dc6ad36da314' 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'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-09-16 12:00:00 ... 1983-08-...</div><input id='attrs-02c72563-2fc9-4a68-b234-4d0a8308f0ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02c72563-2fc9-4a68-b234-4d0a8308f0ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5f2054d-a03d-4860-8c7f-3475182fe340' class='xr-var-data-in' type='checkbox'><label for='data-f5f2054d-a03d-4860-8c7f-3475182fe340' title='Show/Hide data repr'><svg 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>type_preferred :</span></dt><dd>int</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1980, 9, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1980, 10, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1980, 11, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1980, 12, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 2, 15, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 3, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 4, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 5, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 6, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 7, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 8, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 9, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 10, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 11, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 2, 15, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 3, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 4, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 5, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 6, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 7, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 8, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 9, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 10, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 11, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 12, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 2, 15, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 3, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 4, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 5, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 6, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 7, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 8, 17, 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>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>189.2 189.4 189.6 ... 17.15 16.91</div><input id='attrs-bffe88e6-b362-444d-b0e0-6076838b936d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bffe88e6-b362-444d-b0e0-6076838b936d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c549c872-3087-49b9-8acf-4291ff0a33da' class='xr-var-data-in' type='checkbox'><label for='data-c549c872-3087-49b9-8acf-4291ff0a33da' title='Show/Hide data repr'><svg 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 of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[189.222932, 189.389909, 189.558366, ..., 293.779061, 294.027924,\n",
       "        294.274399],\n",
       "       [188.96837 , 189.134706, 189.302537, ..., 294.05584 , 294.304444,\n",
       "        294.55066 ],\n",
       "       [188.712343, 188.878007, 189.045152, ..., 294.335053, 294.583375,\n",
       "        294.829293],\n",
       "       ...,\n",
       "       [124.04724 , 123.88362 , 123.71852 , ...,  16.831718,  16.58437 ,\n",
       "         16.339496],\n",
       "       [123.786864, 123.622542, 123.456725, ...,  17.118145,  16.870437,\n",
       "         16.625183],\n",
       "       [123.527984, 123.36296 , 123.196441, ...,  17.402099,  17.154053,\n",
       "         16.908451]], shape=(205, 275))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.53 16.78 17.02 ... 27.76 27.51</div><input id='attrs-3c62004f-8296-4050-8d00-353f743f8e86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c62004f-8296-4050-8d00-353f743f8e86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3750f20-f9d3-4c7e-9ed9-609b0c095566' class='xr-var-data-in' type='checkbox'><label for='data-a3750f20-f9d3-4c7e-9ed9-609b0c095566' title='Show/Hide data repr'><svg 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 of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[16.534986, 16.778456, 17.022224, ..., 27.363016, 27.11811 , 26.87289 ],\n",
       "       [16.693973, 16.938654, 17.183645, ..., 27.584772, 27.338218, 27.091366],\n",
       "       [16.852192, 17.098089, 17.344309, ..., 27.805843, 27.557646, 27.309156],\n",
       "       ...,\n",
       "       [17.31179 , 17.561247, 17.811046, ..., 28.450248, 28.197183, 27.943847],\n",
       "       [17.155897, 17.40414 , 17.652723, ..., 28.231296, 27.979893, 27.728216],\n",
       "       [16.999195, 17.246229, 17.493587, ..., 28.0116  , 27.761856, 27.511827]],\n",
       "      shape=(205, 275))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-614d2a8f-d38b-43f1-9d5a-aed6bdb2a331' class='xr-section-summary-in' type='checkbox'  checked><label for='section-614d2a8f-d38b-43f1-9d5a-aed6bdb2a331' class='xr-section-summary' >Data variables: <span>(1)</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>Tair</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-181128a0-b936-4e69-bc00-941233a96074' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-181128a0-b936-4e69-bc00-941233a96074' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18a5e5ab-bd35-40e1-aa2a-a7f39bb0b80c' class='xr-var-data-in' type='checkbox'><label for='data-18a5e5ab-bd35-40e1-aa2a-a7f39bb0b80c' title='Show/Hide data repr'><svg 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>C</dd><dt><span>long_name :</span></dt><dd>Surface air temperature</dd><dt><span>type_preferred :</span></dt><dd>double</dd><dt><span>time_rep :</span></dt><dd>instantaneous</dd></dl></div><div class='xr-var-data'><pre>[2029500 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-90f1244b-cd49-41d3-b91f-38fe477a0ca7' class='xr-section-summary-in' type='checkbox'  ><label for='section-90f1244b-cd49-41d3-b91f-38fe477a0ca7' class='xr-section-summary' >Indexes: <span>(1)</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>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-828e5734-bb88-437f-aa9a-bee0dfe90aeb' class='xr-index-data-in' type='checkbox'/><label for='index-828e5734-bb88-437f-aa9a-bee0dfe90aeb' 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(CFTimeIndex([1980-09-16 12:00:00, 1980-10-17 00:00:00, 1980-11-16 12:00:00,\n",
       "             1980-12-17 00:00:00, 1981-01-17 00:00:00, 1981-02-15 12:00:00,\n",
       "             1981-03-17 00:00:00, 1981-04-16 12:00:00, 1981-05-17 00:00:00,\n",
       "             1981-06-16 12:00:00, 1981-07-17 00:00:00, 1981-08-17 00:00:00,\n",
       "             1981-09-16 12:00:00, 1981-10-17 00:00:00, 1981-11-16 12:00:00,\n",
       "             1981-12-17 00:00:00, 1982-01-17 00:00:00, 1982-02-15 12:00:00,\n",
       "             1982-03-17 00:00:00, 1982-04-16 12:00:00, 1982-05-17 00:00:00,\n",
       "             1982-06-16 12:00:00, 1982-07-17 00:00:00, 1982-08-17 00:00:00,\n",
       "             1982-09-16 12:00:00, 1982-10-17 00:00:00, 1982-11-16 12:00:00,\n",
       "             1982-12-17 00:00:00, 1983-01-17 00:00:00, 1983-02-15 12:00:00,\n",
       "             1983-03-17 00:00:00, 1983-04-16 12:00:00, 1983-05-17 00:00:00,\n",
       "             1983-06-16 12:00:00, 1983-07-17 00:00:00, 1983-08-17 00:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=36, calendar=&#x27;noleap&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dae05a6f-a755-4323-b9f7-bf8cfd3dd65f' class='xr-section-summary-in' type='checkbox'  ><label for='section-dae05a6f-a755-4323-b9f7-bf8cfd3dd65f' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>/workspace/jhamman/processed/R1002RBRxaaa01a/lnd/temp/R1002RBRxaaa01a.vic.ha.1979-09-01.nc</dd><dt><span>institution :</span></dt><dd>U.W.</dd><dt><span>source :</span></dt><dd>RACM R1002RBRxaaa01a</dd><dt><span>output_frequency :</span></dt><dd>daily</dd><dt><span>output_mode :</span></dt><dd>averaged</dd><dt><span>convention :</span></dt><dd>CF-1.4</dd><dt><span>references :</span></dt><dd>Based on the initial model of Liang et al., 1994, JGR, 99, 14,415- 14,429.</dd><dt><span>comment :</span></dt><dd>Output from the Variable Infiltration Capacity (VIC) model.</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 4.7.9 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd><dt><span>history :</span></dt><dd>Fri Aug  7 17:57:38 2020: ncatted -a bounds,,d,, rasm.nc\n",
       "Tue Dec 27 14:15:22 2016: ncatted -a dimensions,,d,, rasm.nc rasm.nc\n",
       "Tue Dec 27 13:38:40 2016: ncks -3 rasm.nc rasm.nc\n",
       "history deleted for brevity</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 17MB\n",
       "Dimensions:  (time: 36, y: 205, x: 275)\n",
       "Coordinates:\n",
       "  * time     (time) object 288B 1980-09-16 12:00:00 ... 1983-08-17 00:00:00\n",
       "    lon      (y, x) float64 451kB 189.2 189.4 189.6 189.7 ... 17.4 17.15 16.91\n",
       "    lat      (y, x) float64 451kB 16.53 16.78 17.02 17.27 ... 28.01 27.76 27.51\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    Tair     (time, y, x) float64 16MB ...\n",
       "Attributes:\n",
       "    title:                     /workspace/jhamman/processed/R1002RBRxaaa01a/l...\n",
       "    institution:               U.W.\n",
       "    source:                    RACM R1002RBRxaaa01a\n",
       "    output_frequency:          daily\n",
       "    output_mode:               averaged\n",
       "    convention:                CF-1.4\n",
       "    references:                Based on the initial model of Liang et al., 19...\n",
       "    comment:                   Output from the Variable Infiltration Capacity...\n",
       "    nco_openmp_thread_number:  1\n",
       "    NCO:                       netCDF Operators version 4.7.9 (Homepage = htt...\n",
       "    history:                   Fri Aug  7 17:57:38 2020: ncatted -a bounds,,d..."
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = ds.rename({\"xc\": \"lon\", \"yc\": \"lat\"})\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Output grid\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Say we want to regrid it to a global $4^\\circ \\times 5^\\circ$ grid. xESMF\n",
    "provides a shortcut to make this output grid.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "  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",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\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",
       "  border-color: var(--xr-background-color-row-even);\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",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\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-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\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",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 106kB\n",
       "Dimensions:  (y: 45, x: 72, y_b: 46, x_b: 73)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 26kB -177.5 -172.5 -167.5 ... 167.5 172.5 177.5\n",
       "    lat      (y, x) float64 26kB -88.0 -88.0 -88.0 -88.0 ... 88.0 88.0 88.0 88.0\n",
       "    lon_b    (y_b, x_b) float64 27kB -180.0 -175.0 -170.0 ... 170.0 175.0 180.0\n",
       "    lat_b    (y_b, x_b) float64 27kB -90.0 -90.0 -90.0 -90.0 ... 90.0 90.0 90.0\n",
       "Dimensions without coordinates: y, x, y_b, x_b\n",
       "Data variables:\n",
       "    *empty*</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-3cc44a29-e02d-4c0c-a844-e48f8040919c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3cc44a29-e02d-4c0c-a844-e48f8040919c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>y</span>: 45</li><li><span>x</span>: 72</li><li><span>y_b</span>: 46</li><li><span>x_b</span>: 73</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d2fe2eb5-c97b-4ed6-8e55-bda09a60cba7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d2fe2eb5-c97b-4ed6-8e55-bda09a60cba7' 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>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-177.5 -172.5 ... 172.5 177.5</div><input id='attrs-72531adc-f8c6-433a-ad8c-cc3da6e5ab00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72531adc-f8c6-433a-ad8c-cc3da6e5ab00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64d3548d-dd8a-47c7-b237-595a92cc4ad0' class='xr-var-data-in' type='checkbox'><label for='data-64d3548d-dd8a-47c7-b237-595a92cc4ad0' title='Show/Hide data repr'><svg 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>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[-177.5, -172.5, -167.5, ...,  167.5,  172.5,  177.5],\n",
       "       [-177.5, -172.5, -167.5, ...,  167.5,  172.5,  177.5],\n",
       "       [-177.5, -172.5, -167.5, ...,  167.5,  172.5,  177.5],\n",
       "       ...,\n",
       "       [-177.5, -172.5, -167.5, ...,  167.5,  172.5,  177.5],\n",
       "       [-177.5, -172.5, -167.5, ...,  167.5,  172.5,  177.5],\n",
       "       [-177.5, -172.5, -167.5, ...,  167.5,  172.5,  177.5]],\n",
       "      shape=(45, 72))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-88.0 -88.0 -88.0 ... 88.0 88.0</div><input id='attrs-abe3d08f-3b84-46b0-9574-0ceb7854c43e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abe3d08f-3b84-46b0-9574-0ceb7854c43e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb3010a2-1e16-4ee4-a7f4-fb847c38d1d4' class='xr-var-data-in' type='checkbox'><label for='data-fb3010a2-1e16-4ee4-a7f4-fb847c38d1d4' title='Show/Hide data repr'><svg 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>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[-88., -88., -88., ..., -88., -88., -88.],\n",
       "       [-84., -84., -84., ..., -84., -84., -84.],\n",
       "       [-80., -80., -80., ..., -80., -80., -80.],\n",
       "       ...,\n",
       "       [ 80.,  80.,  80., ...,  80.,  80.,  80.],\n",
       "       [ 84.,  84.,  84., ...,  84.,  84.,  84.],\n",
       "       [ 88.,  88.,  88., ...,  88.,  88.,  88.]], shape=(45, 72))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_b</span></div><div class='xr-var-dims'>(y_b, x_b)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -175.0 ... 175.0 180.0</div><input id='attrs-fd4abed2-62cf-4c39-bfba-03186cba6cd2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd4abed2-62cf-4c39-bfba-03186cba6cd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ad449f0-a093-46af-9053-14f55f616686' class='xr-var-data-in' type='checkbox'><label for='data-5ad449f0-a093-46af-9053-14f55f616686' title='Show/Hide data 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([[-180., -175., -170., ...,  170.,  175.,  180.],\n",
       "       [-180., -175., -170., ...,  170.,  175.,  180.],\n",
       "       [-180., -175., -170., ...,  170.,  175.,  180.],\n",
       "       ...,\n",
       "       [-180., -175., -170., ...,  170.,  175.,  180.],\n",
       "       [-180., -175., -170., ...,  170.,  175.,  180.],\n",
       "       [-180., -175., -170., ...,  170.,  175.,  180.]], shape=(46, 73))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_b</span></div><div class='xr-var-dims'>(y_b, x_b)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -90.0 -90.0 ... 90.0 90.0</div><input id='attrs-4f13b5ed-9d1c-48f5-bfa7-852589655c41' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4f13b5ed-9d1c-48f5-bfa7-852589655c41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8248058-2cc3-4cb9-9646-d17589c67613' class='xr-var-data-in' type='checkbox'><label for='data-b8248058-2cc3-4cb9-9646-d17589c67613' title='Show/Hide data 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([[-90., -90., -90., ..., -90., -90., -90.],\n",
       "       [-86., -86., -86., ..., -86., -86., -86.],\n",
       "       [-82., -82., -82., ..., -82., -82., -82.],\n",
       "       ...,\n",
       "       [ 82.,  82.,  82., ...,  82.,  82.,  82.],\n",
       "       [ 86.,  86.,  86., ...,  86.,  86.,  86.],\n",
       "       [ 90.,  90.,  90., ...,  90.,  90.,  90.]], shape=(46, 73))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b2edbc4-c70e-4e4c-8f42-54f09df95087' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1b2edbc4-c70e-4e4c-8f42-54f09df95087' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6eae76b8-c503-405a-97d7-9499285f0583' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6eae76b8-c503-405a-97d7-9499285f0583' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a4b18793-e3f5-4850-90f3-75c459bf5a4b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a4b18793-e3f5-4850-90f3-75c459bf5a4b' 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.Dataset> Size: 106kB\n",
       "Dimensions:  (y: 45, x: 72, y_b: 46, x_b: 73)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 26kB -177.5 -172.5 -167.5 ... 167.5 172.5 177.5\n",
       "    lat      (y, x) float64 26kB -88.0 -88.0 -88.0 -88.0 ... 88.0 88.0 88.0 88.0\n",
       "    lon_b    (y_b, x_b) float64 27kB -180.0 -175.0 -170.0 ... 170.0 175.0 180.0\n",
       "    lat_b    (y_b, x_b) float64 27kB -90.0 -90.0 -90.0 -90.0 ... 90.0 90.0 90.0\n",
       "Dimensions without coordinates: y, x, y_b, x_b\n",
       "Data variables:\n",
       "    *empty*"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_out = xe.util.grid_global(5, 4)\n",
    "ds_out  # contains lat/lon values of cell centers and boundaries."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The output coordinates are all 2D arrays. They happen to be a rectilinear grid\n",
    "in this case (`lat` is constant over `x` axis, and `lon` is constant over `y`\n",
    "axis), but you can use 2D arrays to specify any curvilinear grids.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Perform regridding\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Regridding is straightforward, just like the previous example.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "regridder = xe.Regridder(ds, ds_out, \"bilinear\")\n",
    "dr_out = regridder(dr)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check results\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Extra dimensions and coordinate values are all correct, like in the previous\n",
    "example.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, white)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
       "  );\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\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",
       "  border-color: var(--xr-background-color-row-even);\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",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\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-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\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",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 36, y: 45, x: 72)&gt; Size: 933kB\n",
       "array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], shape=(36, 45, 72))\n",
       "Coordinates:\n",
       "  * time     (time) object 288B 1980-09-16 12:00:00 ... 1983-08-17 00:00:00\n",
       "    lon      (y, x) float64 26kB -177.5 -172.5 -167.5 ... 167.5 172.5 177.5\n",
       "    lat      (y, x) float64 26kB -88.0 -88.0 -88.0 -88.0 ... 88.0 88.0 88.0 88.0\n",
       "Dimensions without coordinates: y, x\n",
       "Attributes:\n",
       "    regrid_method:  bilinear</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'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 36</li><li><span>y</span>: 45</li><li><span>x</span>: 72</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9c3af53f-84e3-4787-a4a9-230f3ffe15f9' class='xr-array-in' type='checkbox' checked><label for='section-9c3af53f-84e3-4787-a4a9-230f3ffe15f9' 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>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], shape=(36, 45, 72))</pre></div></div></li><li class='xr-section-item'><input id='section-83958879-f995-4d97-a17f-a98c0480f371' class='xr-section-summary-in' type='checkbox'  checked><label for='section-83958879-f995-4d97-a17f-a98c0480f371' 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'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-09-16 12:00:00 ... 1983-08-...</div><input id='attrs-e62e5862-6d2c-4a0d-b44b-a326c5c8ff42' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e62e5862-6d2c-4a0d-b44b-a326c5c8ff42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d652d96-1b26-4dfa-b671-f49d3d3bd873' class='xr-var-data-in' type='checkbox'><label for='data-2d652d96-1b26-4dfa-b671-f49d3d3bd873' title='Show/Hide data 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([cftime.DatetimeNoLeap(1980, 9, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1980, 10, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1980, 11, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1980, 12, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 2, 15, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 3, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 4, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 5, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 6, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 7, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 8, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 9, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 10, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 11, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 2, 15, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 3, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 4, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 5, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 6, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 7, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 8, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 9, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 10, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 11, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1982, 12, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 2, 15, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 3, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 4, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 5, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 6, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 7, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1983, 8, 17, 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>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-177.5 -172.5 ... 172.5 177.5</div><input id='attrs-77fcc178-c5a1-40c2-b628-42e98cb5c332' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77fcc178-c5a1-40c2-b628-42e98cb5c332' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d19143d-0ae0-49f3-8e3b-e951f3144d31' class='xr-var-data-in' type='checkbox'><label for='data-9d19143d-0ae0-49f3-8e3b-e951f3144d31' title='Show/Hide data repr'><svg 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>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[-177.5, -172.5, -167.5, ...,  167.5,  172.5,  177.5],\n",
       "       [-177.5, -172.5, -167.5, ...,  167.5,  172.5,  177.5],\n",
       "       [-177.5, -172.5, -167.5, ...,  167.5,  172.5,  177.5],\n",
       "       ...,\n",
       "       [-177.5, -172.5, -167.5, ...,  167.5,  172.5,  177.5],\n",
       "       [-177.5, -172.5, -167.5, ...,  167.5,  172.5,  177.5],\n",
       "       [-177.5, -172.5, -167.5, ...,  167.5,  172.5,  177.5]],\n",
       "      shape=(45, 72))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-88.0 -88.0 -88.0 ... 88.0 88.0</div><input id='attrs-4fac6b9a-82b5-42ba-897c-503a4ccb46fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fac6b9a-82b5-42ba-897c-503a4ccb46fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f58d3a1c-d92b-438f-8f73-b496e44ceba5' class='xr-var-data-in' type='checkbox'><label for='data-f58d3a1c-d92b-438f-8f73-b496e44ceba5' title='Show/Hide data repr'><svg 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>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[-88., -88., -88., ..., -88., -88., -88.],\n",
       "       [-84., -84., -84., ..., -84., -84., -84.],\n",
       "       [-80., -80., -80., ..., -80., -80., -80.],\n",
       "       ...,\n",
       "       [ 80.,  80.,  80., ...,  80.,  80.,  80.],\n",
       "       [ 84.,  84.,  84., ...,  84.,  84.,  84.],\n",
       "       [ 88.,  88.,  88., ...,  88.,  88.,  88.]], shape=(45, 72))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5a5ce095-4a54-4600-a5ad-c7afb6bb3de8' class='xr-section-summary-in' type='checkbox'  ><label for='section-5a5ce095-4a54-4600-a5ad-c7afb6bb3de8' class='xr-section-summary' >Indexes: <span>(1)</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>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-1f8b7680-aa95-4ed3-889b-846b57255088' class='xr-index-data-in' type='checkbox'/><label for='index-1f8b7680-aa95-4ed3-889b-846b57255088' 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(CFTimeIndex([1980-09-16 12:00:00, 1980-10-17 00:00:00, 1980-11-16 12:00:00,\n",
       "             1980-12-17 00:00:00, 1981-01-17 00:00:00, 1981-02-15 12:00:00,\n",
       "             1981-03-17 00:00:00, 1981-04-16 12:00:00, 1981-05-17 00:00:00,\n",
       "             1981-06-16 12:00:00, 1981-07-17 00:00:00, 1981-08-17 00:00:00,\n",
       "             1981-09-16 12:00:00, 1981-10-17 00:00:00, 1981-11-16 12:00:00,\n",
       "             1981-12-17 00:00:00, 1982-01-17 00:00:00, 1982-02-15 12:00:00,\n",
       "             1982-03-17 00:00:00, 1982-04-16 12:00:00, 1982-05-17 00:00:00,\n",
       "             1982-06-16 12:00:00, 1982-07-17 00:00:00, 1982-08-17 00:00:00,\n",
       "             1982-09-16 12:00:00, 1982-10-17 00:00:00, 1982-11-16 12:00:00,\n",
       "             1982-12-17 00:00:00, 1983-01-17 00:00:00, 1983-02-15 12:00:00,\n",
       "             1983-03-17 00:00:00, 1983-04-16 12:00:00, 1983-05-17 00:00:00,\n",
       "             1983-06-16 12:00:00, 1983-07-17 00:00:00, 1983-08-17 00:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=36, calendar=&#x27;noleap&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-48a5f3bc-a544-4ffd-a878-44740f8f8bf7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-48a5f3bc-a544-4ffd-a878-44740f8f8bf7' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>regrid_method :</span></dt><dd>bilinear</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (time: 36, y: 45, x: 72)> Size: 933kB\n",
       "array([[[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], shape=(36, 45, 72))\n",
       "Coordinates:\n",
       "  * time     (time) object 288B 1980-09-16 12:00:00 ... 1983-08-17 00:00:00\n",
       "    lon      (y, x) float64 26kB -177.5 -172.5 -167.5 ... 167.5 172.5 177.5\n",
       "    lat      (y, x) float64 26kB -88.0 -88.0 -88.0 -88.0 ... 88.0 88.0 88.0 88.0\n",
       "Dimensions without coordinates: y, x\n",
       "Attributes:\n",
       "    regrid_method:  bilinear"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dr_out"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The regridding result is consistent with the original data, but now on a\n",
    "rectilinear grid with a coarser resolution. `nan` is mapped to `nan`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.feature_artist.FeatureArtist at 0x775df681ec90>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 4))\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "dr_out[0].plot.pcolormesh(ax=ax, x=\"lon\", y=\"lat\")\n",
    "ax.coastlines()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Undesired extrapolation\n",
    "\n",
    "### when using the `nearest_s2d` method\n",
    "\n",
    "This section is a short excursion into the masking topic specifically for\n",
    "regional (often curvilinear) source grids. General guidance regarding masking\n",
    "can be found in the general [Masking](Masking.ipynb) section.\n",
    "\n",
    "When remapping to a larger domain with the `nearest_s2d` method, target grid\n",
    "cells outside the original source domain will get the value of the closest\n",
    "source grid cell at the domain edge, owed to the logic behind the `nearest_s2d`\n",
    "algorithm.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.feature_artist.FeatureArtist at 0x775df4c3ed20>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute remapping weights with method `nearest_s2d`\n",
    "regridder_nearest = xe.Regridder(ds, ds_out, \"nearest_s2d\")\n",
    "\n",
    "# Remap the data\n",
    "dr_out = regridder_nearest(dr)\n",
    "\n",
    "# Plot the result\n",
    "plt.figure(figsize=(12, 4))\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "dr_out[0].plot.pcolormesh(ax=ax, x=\"lon\", y=\"lat\")\n",
    "ax.coastlines()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If this is undesired, it can be avoided by including the arguments\n",
    "`post_mask_source=\"domain_edge\"` (and optionally `unmapped_to_nan=True` if all\n",
    "unmapped cells should be set to NaN rather than zero) when generating the\n",
    "remapping weights. This will alter the remapping weights **after** their\n",
    "generation to remove the contribution of the outermost source grid cells of the\n",
    "original domain (i.e. the source grid cells at the domain edge).\n",
    "\n",
    "**Note:** While this prevents the often undesired extrapolation artifacts\n",
    "outside the original domain, this means that the information of the source grid\n",
    "cells at the domain edge will be lost in the remapped data.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.feature_artist.FeatureArtist at 0x775df4a5bc80>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute remapping weights with method `nearest_s2d`\n",
    "regridder_nearest = xe.Regridder(\n",
    "    ds, ds_out, \"nearest_s2d\", post_mask_source=\"domain_edge\"\n",
    ")\n",
    "\n",
    "# Remap the data\n",
    "dr_out = regridder_nearest(dr)\n",
    "\n",
    "# Plot the result\n",
    "plt.figure(figsize=(12, 4))\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "dr_out[0].plot.pcolormesh(ax=ax, x=\"lon\", y=\"lat\")\n",
    "ax.coastlines()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternatively, one can specify a tailored mask for the target grid. If there is\n",
    "no tailored mask at hand, one could generate it from the bilinear weights:\n",
    "\n",
    "- Generate mask from the bilinear regridding weights (created with active\n",
    "  `unmapped_to_nan` option!)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Generate weights\n",
    "regridder = xe.Regridder(ds, ds_out, \"bilinear\", unmapped_to_nan=True)\n",
    "\n",
    "# Generate mask from this weights\n",
    "mask = xe.smm.gen_mask_from_weights(regridder.weights, nlat=45, nlon=72)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Add the mask to the output `xarray.Dataset`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_out[\"mask\"] = xr.DataArray(dims=(\"y\", \"x\"), data=mask)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Conduct the remapping as usual\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.feature_artist.FeatureArtist at 0x775df4bc3770>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
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   ],
   "source": [
    "# Compute remapping weights with method `nearest_s2d`\n",
    "regridder_nearest = xe.Regridder(ds, ds_out, \"nearest_s2d\")\n",
    "\n",
    "# Remap the data\n",
    "dr_out = regridder_nearest(dr)\n",
    "\n",
    "# Plot the result\n",
    "plt.figure(figsize=(12, 4))\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "dr_out[0].plot.pcolormesh(ax=ax, x=\"lon\", y=\"lat\")\n",
    "ax.coastlines()"
   ]
  }
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