{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating warm start forcing data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We want to add or replace soil data in the forcing data files. We show an example here, where we take the soil data from the output file of a remo run and add this to the forcing file of another run for use as initial lateral boundary conditions. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "\n",
    "import pyremo as pr\n",
    "\n",
    "afile = xr.open_dataset(\n",
    "    \"/work/ch0636/remo/forcing-data/EUR-11/ERA5/vc_27lev/1979/a056530a1979010100.nc\"\n",
    ")\n",
    "tfile = pr.remo_ds.open_remo_dataset(\n",
    "    \"/work/ch0636/remo/forcing-data/era5_warm/a056524a1979010100\",\n",
    "    update_meta=True,\n",
    "    parse_time=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The output dataset (`tfile`) contains the spin up soil data. This could also come from another point in time of the same run or another run. The soil is defined by a number of codes or variable names:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['TSL', 'TSN', 'TD3', 'TD4', 'TD5', 'GLAC', 'TD', 'TDCL', 'WS', 'WL', 'SN']"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# soil_codes = [54,55,56,206,207,208,209,232,170,183,84,140,194,141]\n",
    "warm_codes = [54, 206, 207, 208, 209, 232, 170, 183, 140, 194, 141]\n",
    "warm_vars = [pr.codes.get_dict(c)[\"variable\"] for c in soil_codes]\n",
    "warm_vars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we copy and replace the data from the output file (`tfile`) in the forcing file (`afile`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "for var in soil_vars:\n",
    "    afile[var] = tfile[var]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We should check the data with a simple plot, we will look at the temperatures here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x2ba23714bf70>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 720x648 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def get_temps(ds):\n",
    "    temps = [\"TSW\", \"TSI\", \"TSL\", \"TSN\", \"TD3\", \"TD4\", \"TD5\", \"TD\", \"TDCL\"]\n",
    "    dim = xr.DataArray(data=temps, dims=\"var\", name=\"var\")\n",
    "    tda = xr.concat([ds[var] - 273.5 for var in temps], dim=dim)\n",
    "    tda.name = \"temperature\"\n",
    "    return tda\n",
    "\n",
    "\n",
    "get_temps(afile).plot(col=\"var\", col_wrap=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding static fields to the forcing file"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The initial forcing file also has to contain static fields (e.g., like the land sea mask or the orography). Remo will read these fields in from the first initial forcing file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (rlat: 433, rlon: 433)\n",
       "Coordinates:\n",
       "  * rlon          (rlon) float64 -28.93 -28.82 -28.71 ... 18.38 18.48 18.59\n",
       "  * rlat          (rlat) float64 -23.93 -23.82 -23.71 ... 23.38 23.48 23.59\n",
       "Data variables: (12/14)\n",
       "    rotated_pole  int32 1\n",
       "    FIB           (rlat, rlon) float32 ...\n",
       "    BLA           (rlat, rlon) float32 ...\n",
       "    AZ0           (rlat, rlon) float32 ...\n",
       "    ALB           (rlat, rlon) float32 ...\n",
       "    VGRAT         (rlat, rlon) float32 ...\n",
       "    ...            ...\n",
       "    FOREST        (rlat, rlon) float32 ...\n",
       "    FAO           (rlat, rlon) float32 ...\n",
       "    WSMX          (rlat, rlon) float32 ...\n",
       "    BETA          (rlat, rlon) float32 ...\n",
       "    WMINLOK       (rlat, rlon) float32 ...\n",
       "    WMAXLOK       (rlat, rlon) float32 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Wed Jul 01 12:03:07 2020: cdo -f nc copy lib_EUR-11_frac li...\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-66295a70-d887-469d-863f-b08e8749405c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-66295a70-d887-469d-863f-b08e8749405c' 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'>rlat</span>: 433</li><li><span class='xr-has-index'>rlon</span>: 433</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9480523d-48a3-4d02-8293-5ad7e5c3c0dc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9480523d-48a3-4d02-8293-5ad7e5c3c0dc' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rlon</span></div><div class='xr-var-dims'>(rlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-28.93 -28.82 ... 18.48 18.59</div><input id='attrs-3457a6bd-f11a-48c8-9afb-588e348b4642' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3457a6bd-f11a-48c8-9afb-588e348b4642' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78c80d90-b1f4-44ea-922a-32a3bb6f3dcf' class='xr-var-data-in' type='checkbox'><label for='data-78c80d90-b1f4-44ea-922a-32a3bb6f3dcf' 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>grid_longitude</dd><dt><span>long_name :</span></dt><dd>longitude in rotated pole grid</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-28.925, -28.815, -28.705, ...,  18.375,  18.485,  18.595])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rlat</span></div><div class='xr-var-dims'>(rlat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-23.93 -23.82 ... 23.48 23.59</div><input id='attrs-5e08ae7f-780e-4223-be7c-ec967843d79c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e08ae7f-780e-4223-be7c-ec967843d79c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d40f5f21-8c9e-473f-b813-661f2719bebb' class='xr-var-data-in' type='checkbox'><label for='data-d40f5f21-8c9e-473f-b813-661f2719bebb' 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>grid_latitude</dd><dt><span>long_name :</span></dt><dd>latitude in rotated pole grid</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-23.925, -23.815, -23.705, ...,  23.375,  23.485,  23.595])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-080421f8-5498-4666-a74d-0ca92b222377' class='xr-section-summary-in' type='checkbox'  checked><label for='section-080421f8-5498-4666-a74d-0ca92b222377' class='xr-section-summary' >Data variables: <span>(14)</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>rotated_pole</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc8b65c2-161f-4fc8-9227-fadc8ee54cac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc8b65c2-161f-4fc8-9227-fadc8ee54cac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5df76e0-12fc-420c-8fe3-4032698a37f2' class='xr-var-data-in' type='checkbox'><label for='data-a5df76e0-12fc-420c-8fe3-4032698a37f2' 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>grid_mapping_name :</span></dt><dd>rotated_latitude_longitude</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>-162.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>39.25</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FIB</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1dc104bd-231a-4e9b-a15d-e78e052044a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dc104bd-231a-4e9b-a15d-e78e052044a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7a15e79-467c-4ebf-ba08-32ddf4dd5a11' class='xr-var-data-in' type='checkbox'><label for='data-e7a15e79-467c-4ebf-ba08-32ddf4dd5a11' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>FIB</dd><dt><span>description :</span></dt><dd>surface geopotential (orography)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>cf_name :</span></dt><dd>orog</dd><dt><span>code :</span></dt><dd>129</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BLA</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-32e59e83-92fa-45b5-8b5a-2ef3d81ca099' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32e59e83-92fa-45b5-8b5a-2ef3d81ca099' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67e79775-6433-4db2-9628-d0927f16767c' class='xr-var-data-in' type='checkbox'><label for='data-67e79775-6433-4db2-9628-d0927f16767c' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>BLA</dd><dt><span>description :</span></dt><dd>land sea mask</dd><dt><span>units :</span></dt><dd>fract.</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>cf_name :</span></dt><dd>sftlf</dd><dt><span>code :</span></dt><dd>172</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AZ0</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ac9553ab-10c8-4a2a-8a3d-dd653f0756dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac9553ab-10c8-4a2a-8a3d-dd653f0756dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd47ab5c-b448-41ee-a234-8f71fe62b2cd' class='xr-var-data-in' type='checkbox'><label for='data-bd47ab5c-b448-41ee-a234-8f71fe62b2cd' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>AZ0</dd><dt><span>description :</span></dt><dd>surface roughness length</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>173</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ALB</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1b763826-5960-46c9-836a-053fae26aa27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b763826-5960-46c9-836a-053fae26aa27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-941f53dd-8d10-4f93-bf71-de6d63d80402' class='xr-var-data-in' type='checkbox'><label for='data-941f53dd-8d10-4f93-bf71-de6d63d80402' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>ALB</dd><dt><span>description :</span></dt><dd>surface background albedo</dd><dt><span>units :</span></dt><dd>fract.</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>174</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VGRAT</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-157e821e-70f4-4278-9504-c1bcc6caf1a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-157e821e-70f4-4278-9504-c1bcc6caf1a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be2bee4d-be2a-4989-a5a1-5b98c1f2e5f0' class='xr-var-data-in' type='checkbox'><label for='data-be2bee4d-be2a-4989-a5a1-5b98c1f2e5f0' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>VGRAT</dd><dt><span>description :</span></dt><dd>vegetation ratio</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>198</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VAROR</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4ccc6ac7-7e82-4598-bb05-eb4fe1a808b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ccc6ac7-7e82-4598-bb05-eb4fe1a808b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eeea5221-9aab-4e92-8d27-5c9cff7ba462' class='xr-var-data-in' type='checkbox'><label for='data-eeea5221-9aab-4e92-8d27-5c9cff7ba462' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>VAROR</dd><dt><span>description :</span></dt><dd>orographic variance (for surface runoff)</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>199</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VLT</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-215d66a6-c7a6-4fdb-8242-97cad60ceb12' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-215d66a6-c7a6-4fdb-8242-97cad60ceb12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4af8a6ef-f92e-42b0-ba7b-04704637ef4e' class='xr-var-data-in' type='checkbox'><label for='data-4af8a6ef-f92e-42b0-ba7b-04704637ef4e' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>VLT</dd><dt><span>description :</span></dt><dd>leaf area index</dd><dt><span>units :</span></dt><dd>m²/m²</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>200</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FOREST</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5437ef6c-b37d-46ec-a6dc-a4d835a5a00b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5437ef6c-b37d-46ec-a6dc-a4d835a5a00b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f35596fc-d26f-4bbc-bf01-082726933102' class='xr-var-data-in' type='checkbox'><label for='data-f35596fc-d26f-4bbc-bf01-082726933102' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>FOREST</dd><dt><span>description :</span></dt><dd>vegetation type</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>212</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FAO</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-586b7376-d5e5-4114-8dba-ba5d926b329e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-586b7376-d5e5-4114-8dba-ba5d926b329e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9500765f-465a-4928-9b1a-0d0aba8e5be0' class='xr-var-data-in' type='checkbox'><label for='data-9500765f-465a-4928-9b1a-0d0aba8e5be0' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>FAO</dd><dt><span>description :</span></dt><dd>FAO data set (soil data flags)</dd><dt><span>units :</span></dt><dd>0...6.</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>226</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSMX</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fae190d8-0870-4e3a-86ac-fa8abb6204af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fae190d8-0870-4e3a-86ac-fa8abb6204af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2388e23c-058c-47f2-9bf1-b03fbd120eb5' class='xr-var-data-in' type='checkbox'><label for='data-2388e23c-058c-47f2-9bf1-b03fbd120eb5' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>WSMX</dd><dt><span>description :</span></dt><dd>field capacity of soil</dd><dt><span>units :</span></dt><dd>m³/m³</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>229</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BETA</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-38d15dfa-2145-4e84-903c-509da0508daf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38d15dfa-2145-4e84-903c-509da0508daf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf30f47b-bb8d-4f48-aebe-2dce8f4bf3fd' class='xr-var-data-in' type='checkbox'><label for='data-cf30f47b-bb8d-4f48-aebe-2dce8f4bf3fd' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>BETA</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>272</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WMINLOK</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1043107a-3669-4a8c-9568-b38e13f37e33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1043107a-3669-4a8c-9568-b38e13f37e33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbc00dea-89f5-49db-bfdd-09ab571b9c17' class='xr-var-data-in' type='checkbox'><label for='data-cbc00dea-89f5-49db-bfdd-09ab571b9c17' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>WMINLOK</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>273</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WMAXLOK</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-78568bef-dc55-4525-b0a2-67b4e533879f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78568bef-dc55-4525-b0a2-67b4e533879f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d636830b-3be6-4c56-97e0-ee269d0f1fa1' class='xr-var-data-in' type='checkbox'><label for='data-d636830b-3be6-4c56-97e0-ee269d0f1fa1' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>WMAXLOK</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>274</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-46e6bce8-1c74-442b-aebb-cd143ec7ca00' class='xr-section-summary-in' type='checkbox'  checked><label for='section-46e6bce8-1c74-442b-aebb-cd143ec7ca00' 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>CDI :</span></dt><dd>Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Wed Jul 01 12:03:07 2020: cdo -f nc copy lib_EUR-11_frac lib_EUR-11_frac.nc</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.8 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (rlat: 433, rlon: 433)\n",
       "Coordinates:\n",
       "  * rlon          (rlon) float64 -28.93 -28.82 -28.71 ... 18.38 18.48 18.59\n",
       "  * rlat          (rlat) float64 -23.93 -23.82 -23.71 ... 23.38 23.48 23.59\n",
       "Data variables: (12/14)\n",
       "    rotated_pole  int32 ...\n",
       "    FIB           (rlat, rlon) float32 ...\n",
       "    BLA           (rlat, rlon) float32 ...\n",
       "    AZ0           (rlat, rlon) float32 ...\n",
       "    ALB           (rlat, rlon) float32 ...\n",
       "    VGRAT         (rlat, rlon) float32 ...\n",
       "    ...            ...\n",
       "    FOREST        (rlat, rlon) float32 ...\n",
       "    FAO           (rlat, rlon) float32 ...\n",
       "    WSMX          (rlat, rlon) float32 ...\n",
       "    BETA          (rlat, rlon) float32 ...\n",
       "    WMINLOK       (rlat, rlon) float32 ...\n",
       "    WMAXLOK       (rlat, rlon) float32 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Wed Jul 01 12:03:07 2020: cdo -f nc copy lib_EUR-11_frac li...\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyremo import data as rd\n",
    "\n",
    "surflib = rd.surflib(\"EUR-11\", update_meta=True)\n",
    "surflib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have to take care if the coordinate values in the afile and surface library are not *exactly* the same. To make sure, we set `join=\"override\"` to simply use the coordinate values from the afile."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                     (lev: 27, lev_i: 28, rlat: 433, rlon: 433, time: 1)\n",
       "Coordinates:\n",
       "  * rlat                        (rlat) float64 -23.93 -23.82 ... 23.49 23.6\n",
       "  * rlon                        (rlon) float64 -28.93 -28.82 ... 18.49 18.6\n",
       "  * time                        (time) datetime64[ns] 1979-01-01\n",
       "  * lev                         (lev) int64 1 2 3 4 5 6 7 ... 22 23 24 25 26 27\n",
       "  * lev_i                       (lev_i) int64 1 2 3 4 5 6 ... 23 24 25 26 27 28\n",
       "    lon                         (rlat, rlon) float64 ...\n",
       "    lat                         (rlat, rlon) float64 ...\n",
       "Data variables: (12/41)\n",
       "    T                           (time, lev, rlat, rlon) float32 ...\n",
       "    U                           (time, lev, rlat, rlon) float32 ...\n",
       "    V                           (time, lev, rlat, rlon) float32 ...\n",
       "    PS                          (time, rlat, rlon) float32 ...\n",
       "    RF                          (time, lev, rlat, rlon) float32 ...\n",
       "    TSW                         (time, rlat, rlon) float32 nan nan ... nan 271.5\n",
       "    ...                          ...\n",
       "    FOREST                      (rlat, rlon) float32 ...\n",
       "    FAO                         (rlat, rlon) float32 ...\n",
       "    WSMX                        (rlat, rlon) float32 ...\n",
       "    BETA                        (rlat, rlon) float32 ...\n",
       "    WMINLOK                     (rlat, rlon) float32 ...\n",
       "    WMAXLOK                     (rlat, rlon) float32 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.6 (http://mpimet.mpg.de/...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      preprocessing with pyremo = 0.1.0\n",
       "    institution:  European Centre for Medium-Range Weather Forecasts\n",
       "    CDO:          Climate Data Operators version 1.9.6 (http://mpimet.mpg.de/...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-079ce464-5c98-4642-9633-36303d5500a5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-079ce464-5c98-4642-9633-36303d5500a5' 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'>lev</span>: 27</li><li><span class='xr-has-index'>lev_i</span>: 28</li><li><span class='xr-has-index'>rlat</span>: 433</li><li><span class='xr-has-index'>rlon</span>: 433</li><li><span class='xr-has-index'>time</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4415eb8e-b18b-4380-a8ad-d2dbfcdd035d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4415eb8e-b18b-4380-a8ad-d2dbfcdd035d' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rlat</span></div><div class='xr-var-dims'>(rlat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-23.93 -23.82 -23.71 ... 23.49 23.6</div><input id='attrs-6c6d984f-6359-46ad-84ff-94825f0b602d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c6d984f-6359-46ad-84ff-94825f0b602d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fcce08b-9065-4b50-a258-5e60043924a0' class='xr-var-data-in' type='checkbox'><label for='data-5fcce08b-9065-4b50-a258-5e60043924a0' 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>grid_latitude</dd><dt><span>long_name :</span></dt><dd>latitude in rotated pole grid</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-23.925, -23.815, -23.705, ...,  23.375,  23.485,  23.595])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rlon</span></div><div class='xr-var-dims'>(rlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-28.93 -28.82 -28.71 ... 18.49 18.6</div><input id='attrs-30f90e52-eecb-4da9-a9cb-b2adc91d5e41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30f90e52-eecb-4da9-a9cb-b2adc91d5e41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb3278f1-23a2-48c8-af43-e43498998b73' class='xr-var-data-in' type='checkbox'><label for='data-bb3278f1-23a2-48c8-af43-e43498998b73' 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>grid_longitude</dd><dt><span>long_name :</span></dt><dd>longitude in rotated pole grid</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-28.925, -28.815, -28.705, ...,  18.375,  18.485,  18.595])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01</div><input id='attrs-7ddc4fb7-4a55-45b7-8cb9-43bb8f0d2965' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7ddc4fb7-4a55-45b7-8cb9-43bb8f0d2965' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb821872-78bb-45b5-96fb-474ee0131bc9' class='xr-var-data-in' type='checkbox'><label for='data-fb821872-78bb-45b5-96fb-474ee0131bc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 22 23 24 25 26 27</div><input id='attrs-55e5df6b-51b0-4597-9a16-8f62bcc5b505' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-55e5df6b-51b0-4597-9a16-8f62bcc5b505' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da9d85a9-f990-4e5e-ad11-0df689a57248' class='xr-var-data-in' type='checkbox'><label for='data-da9d85a9-f990-4e5e-ad11-0df689a57248' 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([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n",
       "       19, 20, 21, 22, 23, 24, 25, 26, 27])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev_i</span></div><div class='xr-var-dims'>(lev_i)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 23 24 25 26 27 28</div><input id='attrs-9746a09d-eb75-4a51-862f-b3ad5ec63d68' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9746a09d-eb75-4a51-862f-b3ad5ec63d68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a18e40c-6d8e-4afe-9396-e77554844a05' class='xr-var-data-in' type='checkbox'><label for='data-5a18e40c-6d8e-4afe-9396-e77554844a05' 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([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n",
       "       19, 20, 21, 22, 23, 24, 25, 26, 27, 28])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6cb310d9-ea3d-487b-9011-c8e32cf1380e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cb310d9-ea3d-487b-9011-c8e32cf1380e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6929e97-3ce7-4def-b36b-5b38f0e64151' class='xr-var-data-in' type='checkbox'><label for='data-f6929e97-3ce7-4def-b36b-5b38f0e64151' 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><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0ad3714c-68a1-404a-ba87-42bd9bf958e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ad3714c-68a1-404a-ba87-42bd9bf958e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-698e8d14-f755-4897-a651-6d3ef831eb94' class='xr-var-data-in' type='checkbox'><label for='data-698e8d14-f755-4897-a651-6d3ef831eb94' 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><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb5fc989-7cab-4834-b28e-a10593093391' class='xr-section-summary-in' type='checkbox'  ><label for='section-eb5fc989-7cab-4834-b28e-a10593093391' class='xr-section-summary' >Data variables: <span>(41)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>T</span></div><div class='xr-var-dims'>(time, lev, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5fd716e3-da18-44e1-b9d1-6c139449b9b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fd716e3-da18-44e1-b9d1-6c139449b9b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c1c660e-dd07-4a39-9b41-8cde2bcb7c46' class='xr-var-data-in' type='checkbox'><label for='data-8c1c660e-dd07-4a39-9b41-8cde2bcb7c46' 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>name :</span></dt><dd>T</dd><dt><span>code :</span></dt><dd>130</dd><dt><span>description :</span></dt><dd>temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>rotated_latitude_longitude</dd></dl></div><div class='xr-var-data'><pre>[5062203 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U</span></div><div class='xr-var-dims'>(time, lev, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eaeab6fc-f230-4a94-9a7e-0af94160078b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eaeab6fc-f230-4a94-9a7e-0af94160078b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ee462bb-754b-4e8c-aa82-0aa8a929af55' class='xr-var-data-in' type='checkbox'><label for='data-6ee462bb-754b-4e8c-aa82-0aa8a929af55' 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>name :</span></dt><dd>U</dd><dt><span>code :</span></dt><dd>131</dd><dt><span>description :</span></dt><dd>u-velocity</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>grid_mapping :</span></dt><dd>rotated_latitude_longitude</dd></dl></div><div class='xr-var-data'><pre>[5062203 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V</span></div><div class='xr-var-dims'>(time, lev, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-efc05158-4d7d-4e31-ba50-5b9fbac7104d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efc05158-4d7d-4e31-ba50-5b9fbac7104d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28972a52-ceff-4050-b940-188224c366fa' class='xr-var-data-in' type='checkbox'><label for='data-28972a52-ceff-4050-b940-188224c366fa' 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>name :</span></dt><dd>V</dd><dt><span>code :</span></dt><dd>132</dd><dt><span>description :</span></dt><dd>v-velocity</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>grid_mapping :</span></dt><dd>rotated_latitude_longitude</dd></dl></div><div class='xr-var-data'><pre>[5062203 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PS</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1dbc709c-700b-4a58-943a-f55d97512477' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dbc709c-700b-4a58-943a-f55d97512477' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ed345f9-c6f8-4336-a3df-a7c7b0ca4e4a' class='xr-var-data-in' type='checkbox'><label for='data-0ed345f9-c6f8-4336-a3df-a7c7b0ca4e4a' 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>name :</span></dt><dd>PS</dd><dt><span>code :</span></dt><dd>134</dd><dt><span>description :</span></dt><dd>Surface pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>grid_mapping :</span></dt><dd>rotated_latitude_longitude</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RF</span></div><div class='xr-var-dims'>(time, lev, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-86f39d6f-4a2b-4ab7-a570-81a9d1f6b1ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86f39d6f-4a2b-4ab7-a570-81a9d1f6b1ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58138129-036f-4b69-b221-6285a46407a7' class='xr-var-data-in' type='checkbox'><label for='data-58138129-036f-4b69-b221-6285a46407a7' 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>name :</span></dt><dd>Specific humidity</dd><dt><span>short_name :</span></dt><dd>q</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>code :</span></dt><dd>133</dd></dl></div><div class='xr-var-data'><pre>[5062203 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TSW</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 271.5 nan 271.5</div><input id='attrs-73845e8e-deb5-4a01-9a16-77c51f448854' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73845e8e-deb5-4a01-9a16-77c51f448854' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b4570c5-93ed-4b63-a138-1034f77fea9e' class='xr-var-data-in' type='checkbox'><label for='data-1b4570c5-93ed-4b63-a138-1034f77fea9e' 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>name :</span></dt><dd>TSW</dd><dt><span>code :</span></dt><dd>55</dd><dt><span>description :</span></dt><dd>surface temperature (water)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>rotated_latitude_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan, ..., 297.6727 , 297.78195],\n",
       "        [      nan,       nan, ..., 297.73825, 297.84213],\n",
       "        ...,\n",
       "        [274.5075 , 274.56622, ...,       nan, 271.46045],\n",
       "        [274.08154, 274.08154, ...,       nan, 271.46045]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SEAICE</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-81efec19-97cb-4c85-a136-6df4b2a6a71e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81efec19-97cb-4c85-a136-6df4b2a6a71e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfd059ba-9e3f-44d5-978b-c15f0156dcbe' class='xr-var-data-in' type='checkbox'><label for='data-bfd059ba-9e3f-44d5-978b-c15f0156dcbe' 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>name :</span></dt><dd>SEAICE</dd><dt><span>code :</span></dt><dd>210</dd><dt><span>description :</span></dt><dd>sea ice cover</dd><dt><span>units :</span></dt><dd>fract.</dd><dt><span>grid_mapping :</span></dt><dd>rotated_latitude_longitude</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QW</span></div><div class='xr-var-dims'>(time, lev, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3bd0339a-b8b2-4838-ae45-aa3efe4cdfb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bd0339a-b8b2-4838-ae45-aa3efe4cdfb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61d4df09-40cd-43e9-b09d-49570ce4d22f' class='xr-var-data-in' type='checkbox'><label for='data-61d4df09-40cd-43e9-b09d-49570ce4d22f' 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>name :</span></dt><dd>QW</dd><dt><span>code :</span></dt><dd>153</dd><dt><span>description :</span></dt><dd>liquid water content</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>grid_mapping :</span></dt><dd>rotated_latitude_longitude</dd></dl></div><div class='xr-var-data'><pre>[5062203 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QD</span></div><div class='xr-var-dims'>(time, lev, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-49b2a52e-ca6a-4a86-8d04-88aba1dd85a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49b2a52e-ca6a-4a86-8d04-88aba1dd85a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2876b98b-75e1-44b4-ad87-0d25788d7255' class='xr-var-data-in' type='checkbox'><label for='data-2876b98b-75e1-44b4-ad87-0d25788d7255' 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>name :</span></dt><dd>QD</dd><dt><span>code :</span></dt><dd>133</dd><dt><span>description :</span></dt><dd>specific humidity</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>grid_mapping :</span></dt><dd>rotated_latitude_longitude</dd></dl></div><div class='xr-var-data'><pre>[5062203 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QDBL</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d5ca872-0530-42f3-a2b8-6264fcf826f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d5ca872-0530-42f3-a2b8-6264fcf826f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abef0643-2f3f-4c37-bb7c-28031ef96bbc' class='xr-var-data-in' type='checkbox'><label for='data-abef0643-2f3f-4c37-bb7c-28031ef96bbc' 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>name :</span></dt><dd>QDBL</dd><dt><span>code :</span></dt><dd>84</dd><dt><span>description :</span></dt><dd>specific humidity surface (land)</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>grid_mapping :</span></dt><dd>rotated_latitude_longitude</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TSI</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 271.4 nan 271.4</div><input id='attrs-7f106285-fd61-40bd-ad44-8f2d3b251eb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f106285-fd61-40bd-ad44-8f2d3b251eb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a44e35b-721c-4474-a30a-8db7c2b8130a' class='xr-var-data-in' type='checkbox'><label for='data-9a44e35b-721c-4474-a30a-8db7c2b8130a' 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>name :</span></dt><dd>TSI</dd><dt><span>code :</span></dt><dd>56</dd><dt><span>description :</span></dt><dd>surface temperature (ice)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>rotated_latitude_longitude</dd></dl></div><div class='xr-var-data'><pre>array([[[   nan,    nan, ..., 271.37, 271.37],\n",
       "        [   nan,    nan, ..., 271.37, 271.37],\n",
       "        ...,\n",
       "        [271.37, 271.37, ...,    nan, 271.37],\n",
       "        [271.37, 271.37, ...,    nan, 271.37]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hyai</span></div><div class='xr-var-dims'>(lev_i)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b7b964e3-1959-49aa-b8a8-833bdb46a183' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b7b964e3-1959-49aa-b8a8-833bdb46a183' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a99dc59-aae6-495e-8a1b-3f1fefb96355' class='xr-var-data-in' type='checkbox'><label for='data-0a99dc59-aae6-495e-8a1b-3f1fefb96355' 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([    0.      ,  5000.      , 10000.      , 13600.      , 14736.355469,\n",
       "       15689.207031, 16266.609375, 16465.003906, 16297.621094, 15791.597656,\n",
       "       14985.269531, 13925.519531, 12665.292969, 11261.230469,  9771.40625 ,\n",
       "        8253.210938,  6761.339844,  5345.914062,  4050.717773,  2911.569336,\n",
       "        1954.805176,  1195.889893,   638.148926,   271.626465,    72.063583,\n",
       "           0.      ,     0.      ,     0.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hybi</span></div><div class='xr-var-dims'>(lev_i)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-90cd4d63-8dc4-4f2a-a3bc-0bd102aa70fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90cd4d63-8dc4-4f2a-a3bc-0bd102aa70fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98997bdc-0714-4512-8155-854422d1cfee' class='xr-var-data-in' type='checkbox'><label for='data-98997bdc-0714-4512-8155-854422d1cfee' 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([0.      , 0.      , 0.      , 0.      , 0.020319, 0.036975, 0.059488,\n",
       "       0.087895, 0.122004, 0.161441, 0.205703, 0.254189, 0.306235, 0.361145,\n",
       "       0.418202, 0.476688, 0.535887, 0.595084, 0.653565, 0.710594, 0.765405,\n",
       "       0.817167, 0.864956, 0.907716, 0.944213, 0.972985, 0.992282, 1.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hyam</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a9c60515-c206-46e4-9316-bfb762f25e18' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a9c60515-c206-46e4-9316-bfb762f25e18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24b4403e-7bdd-48ab-bafe-74f2f449090b' class='xr-var-data-in' type='checkbox'><label for='data-24b4403e-7bdd-48ab-bafe-74f2f449090b' 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([ 2500.      ,  7500.      , 11800.      , 14168.177734, 15212.78125 ,\n",
       "       15977.908203, 16365.806641, 16381.3125  , 16044.609375, 15388.433594,\n",
       "       14455.394531, 13295.40625 , 11963.261719, 10516.318359,  9012.308594,\n",
       "        7507.275391,  6053.626953,  4698.315918,  3481.143555,  2433.187256,\n",
       "        1575.347534,   917.019409,   454.887695,   171.845024,    36.031792,\n",
       "           0.      ,     0.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hybm</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad30b3ae-522c-4c8b-b21f-e1be0c329546' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad30b3ae-522c-4c8b-b21f-e1be0c329546' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74d83e93-8beb-4647-ae41-3c57808e7b33' class='xr-var-data-in' type='checkbox'><label for='data-74d83e93-8beb-4647-ae41-3c57808e7b33' 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([0.      , 0.      , 0.      , 0.01016 , 0.028647, 0.048231, 0.073691,\n",
       "       0.104949, 0.141723, 0.183572, 0.229946, 0.280212, 0.33369 , 0.389674,\n",
       "       0.447445, 0.506287, 0.565485, 0.624324, 0.682079, 0.738   , 0.791286,\n",
       "       0.841061, 0.886336, 0.925965, 0.958599, 0.982633, 0.996141])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rotated_latitude_longitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cf3f4df9-4bc9-4bf2-a839-197093e1a1b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf3f4df9-4bc9-4bf2-a839-197093e1a1b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-551fee71-faea-421f-a398-7af084e3411d' class='xr-var-data-in' type='checkbox'><label for='data-551fee71-faea-421f-a398-7af084e3411d' 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>grid_mapping_name :</span></dt><dd>rotated_latitude_longitude</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>39.25</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>-162.0</dd><dt><span>north_pole_grid_longitude :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TSL</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>284.9 285.0 285.2 ... 239.6 243.9</div><input id='attrs-af6bf61b-8cde-47d6-a6c1-c54fa3682e75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af6bf61b-8cde-47d6-a6c1-c54fa3682e75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ae43be5-6de5-4116-9d76-a30f2dafe642' class='xr-var-data-in' type='checkbox'><label for='data-9ae43be5-6de5-4116-9d76-a30f2dafe642' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>TSL</dd><dt><span>description :</span></dt><dd>surface temperature (land)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>54</dd></dl></div><div class='xr-var-data'><pre>array([[[284.88602, 285.04398, ..., 296.86893, 296.83868],\n",
       "        [284.84366, 284.90106, ..., 296.75827, 296.72217],\n",
       "        ...,\n",
       "        [266.04196, 266.68546, ..., 243.06488, 241.38116],\n",
       "        [266.87408, 266.8496 , ..., 239.62808, 243.91678]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TSN</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>284.9 285.0 285.2 ... 253.2 255.6</div><input id='attrs-49905045-9822-4bdd-b5fe-92065434d252' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49905045-9822-4bdd-b5fe-92065434d252' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bd628f6-aece-4e45-b04b-d9256cdaada1' class='xr-var-data-in' type='checkbox'><label for='data-6bd628f6-aece-4e45-b04b-d9256cdaada1' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>TSN</dd><dt><span>description :</span></dt><dd>snow temperature (see description below)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>206</dd></dl></div><div class='xr-var-data'><pre>array([[[284.88602, 285.04398, ..., 296.86893, 296.83868],\n",
       "        [284.84366, 284.90106, ..., 296.75827, 296.72217],\n",
       "        ...,\n",
       "        [266.04196, 266.68546, ..., 254.49155, 253.66458],\n",
       "        [268.63736, 266.8496 , ..., 253.24747, 255.6335 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TD3</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>284.9 285.0 285.2 ... 268.6 268.8</div><input id='attrs-d52a941d-61ff-4fe6-995e-9b87d232fcfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d52a941d-61ff-4fe6-995e-9b87d232fcfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bad5c17-6427-4e4d-9140-1733e9cd0736' class='xr-var-data-in' type='checkbox'><label for='data-6bad5c17-6427-4e4d-9140-1733e9cd0736' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>TD3</dd><dt><span>description :</span></dt><dd>soil temperature 0.065m thickness</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>207</dd></dl></div><div class='xr-var-data'><pre>array([[[284.88602, 285.04398, ..., 296.86893, 296.83868],\n",
       "        [284.84366, 284.90106, ..., 296.75827, 296.72217],\n",
       "        ...,\n",
       "        [266.04196, 266.68546, ..., 267.6753 , 267.765  ],\n",
       "        [270.93237, 266.8496 , ..., 268.587  , 268.7666 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TD4</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>288.2 288.1 288.3 ... 269.2 269.4</div><input id='attrs-07973072-3667-42ec-b2b4-18491b44d87b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07973072-3667-42ec-b2b4-18491b44d87b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57f8645a-5c9d-4046-b0d5-62b85ccbbc57' class='xr-var-data-in' type='checkbox'><label for='data-57f8645a-5c9d-4046-b0d5-62b85ccbbc57' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>TD4</dd><dt><span>description :</span></dt><dd>soil temperature 0.254m thickness</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>208</dd></dl></div><div class='xr-var-data'><pre>array([[[288.17474, 288.13864, ..., 296.86893, 296.83868],\n",
       "        [288.19537, 288.17322, ..., 296.75827, 296.72217],\n",
       "        ...,\n",
       "        [264.18777, 264.9309 , ..., 268.35538, 268.44003],\n",
       "        [271.3742 , 265.00278, ..., 269.2255 , 269.38177]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TD5</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>291.1 291.0 290.9 ... 271.3 271.4</div><input id='attrs-81344dc1-6a5c-4826-93ad-f2db0b15ef17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81344dc1-6a5c-4826-93ad-f2db0b15ef17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e01fbd9b-bb4a-4e25-992d-04655eb7ca02' class='xr-var-data-in' type='checkbox'><label for='data-e01fbd9b-bb4a-4e25-992d-04655eb7ca02' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>TD5</dd><dt><span>description :</span></dt><dd>soil temperature 0.913m thickness</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>209</dd></dl></div><div class='xr-var-data'><pre>array([[[291.0765 , 290.955  , ..., 296.86893, 296.83868],\n",
       "        [291.08212, 291.05655, ..., 296.75827, 296.72217],\n",
       "        ...,\n",
       "        [270.02158, 270.04324, ..., 270.6096 , 270.6905 ],\n",
       "        [272.46466, 270.91864, ..., 271.29053, 271.40295]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GLAC</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aa1be2a1-3de1-49a7-9319-dbb625c09a2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa1be2a1-3de1-49a7-9319-dbb625c09a2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c480d30-f5e6-4340-b0f2-a9a849c79bdb' class='xr-var-data-in' type='checkbox'><label for='data-6c480d30-f5e6-4340-b0f2-a9a849c79bdb' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>GLAC</dd><dt><span>description :</span></dt><dd>glacier mask (0.: no</dd><dt><span>units :</span></dt><dd>1.: yes)</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>232</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TD</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>300.3 300.2 300.1 ... 273.1 273.2</div><input id='attrs-61a92e79-0d8c-4532-82da-fa046eb85d0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61a92e79-0d8c-4532-82da-fa046eb85d0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8686dc5-284f-4698-ad23-cfbf2e79aace' class='xr-var-data-in' type='checkbox'><label for='data-b8686dc5-284f-4698-ad23-cfbf2e79aace' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>TD</dd><dt><span>description :</span></dt><dd>deep soil temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>170</dd></dl></div><div class='xr-var-data'><pre>array([[[300.33023, 300.19986, ..., 296.86893, 296.83868],\n",
       "        [300.35754, 300.33487, ..., 296.75827, 296.72217],\n",
       "        ...,\n",
       "        [272.16855, 272.14807, ..., 273.04382, 273.085  ],\n",
       "        [273.8371 , 273.2909 , ..., 273.1437 , 273.24658]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TDCL</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>299.8 299.7 299.6 ... 272.1 272.2</div><input id='attrs-b202dacd-bee3-4e7e-b6f6-224efb9538a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b202dacd-bee3-4e7e-b6f6-224efb9538a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75897560-00f8-43e0-9ffd-9f10adb86cd5' class='xr-var-data-in' type='checkbox'><label for='data-75897560-00f8-43e0-9ffd-9f10adb86cd5' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>TDCL</dd><dt><span>description :</span></dt><dd>soil temperature 5.700m thickness</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>183</dd></dl></div><div class='xr-var-data'><pre>array([[[299.80676, 299.7127 , ..., 296.86893, 296.83868],\n",
       "        [299.84647, 299.8254 , ..., 296.75827, 296.72217],\n",
       "        ...,\n",
       "        [272.02554, 272.0241 , ..., 271.94812, 272.03336],\n",
       "        [274.25668, 273.6145 , ..., 272.0887 , 272.1748 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WS</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da9b85d1-6104-4a6f-a881-b2724eb0ac78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da9b85d1-6104-4a6f-a881-b2724eb0ac78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af71a911-ea9c-4acb-a28b-844bb6385e57' class='xr-var-data-in' type='checkbox'><label for='data-af71a911-ea9c-4acb-a28b-844bb6385e57' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>WS</dd><dt><span>description :</span></dt><dd>soil wetness</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>cf_name :</span></dt><dd>mrso</dd><dt><span>code :</span></dt><dd>140</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WL</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c981cff-feb6-409b-a9ef-de39eda3a68e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c981cff-feb6-409b-a9ef-de39eda3a68e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec2d53c6-82df-417a-beeb-aafbc096df6d' class='xr-var-data-in' type='checkbox'><label for='data-ec2d53c6-82df-417a-beeb-aafbc096df6d' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>WL</dd><dt><span>description :</span></dt><dd>skin reservoir content</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>194</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SN</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ffcf261c-7d42-4335-95a7-74e005ecc79e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffcf261c-7d42-4335-95a7-74e005ecc79e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-837e46b6-1baf-4ab2-ac5d-ec8b299c72fb' class='xr-var-data-in' type='checkbox'><label for='data-837e46b6-1baf-4ab2-ac5d-ec8b299c72fb' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>SN</dd><dt><span>description :</span></dt><dd>snow depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>cf_name :</span></dt><dd>snw</dd><dt><span>code :</span></dt><dd>141</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rotated_pole</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-39190670-37bb-40aa-8689-65ebc98deea2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39190670-37bb-40aa-8689-65ebc98deea2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c480fb04-07b2-428a-8c4b-97eb40bb448d' class='xr-var-data-in' type='checkbox'><label for='data-c480fb04-07b2-428a-8c4b-97eb40bb448d' 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>grid_mapping_name :</span></dt><dd>rotated_latitude_longitude</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>-162.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>39.25</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FIB</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2bdb0667-d48a-415c-8ae1-5b08b9659817' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bdb0667-d48a-415c-8ae1-5b08b9659817' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c95b8d08-758d-4096-906c-3ce32f1e7d13' class='xr-var-data-in' type='checkbox'><label for='data-c95b8d08-758d-4096-906c-3ce32f1e7d13' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>FIB</dd><dt><span>description :</span></dt><dd>surface geopotential (orography)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>cf_name :</span></dt><dd>orog</dd><dt><span>code :</span></dt><dd>129</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BLA</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2dd5b311-c9b5-44cc-a917-8927b648bb40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2dd5b311-c9b5-44cc-a917-8927b648bb40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a07e2dd-7303-4bf9-901e-de01e9baf37e' class='xr-var-data-in' type='checkbox'><label for='data-3a07e2dd-7303-4bf9-901e-de01e9baf37e' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>BLA</dd><dt><span>description :</span></dt><dd>land sea mask</dd><dt><span>units :</span></dt><dd>fract.</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>cf_name :</span></dt><dd>sftlf</dd><dt><span>code :</span></dt><dd>172</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AZ0</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c61cbf8f-625d-48b8-b942-2a9cc90916a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c61cbf8f-625d-48b8-b942-2a9cc90916a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9809b47b-d8e7-44ec-a0bb-168bc8395d93' class='xr-var-data-in' type='checkbox'><label for='data-9809b47b-d8e7-44ec-a0bb-168bc8395d93' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>AZ0</dd><dt><span>description :</span></dt><dd>surface roughness length</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>173</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ALB</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-94fbb055-0bda-466e-8013-3028e7d246be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94fbb055-0bda-466e-8013-3028e7d246be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cc97fd6-a677-4e92-a6a6-22468e345c32' class='xr-var-data-in' type='checkbox'><label for='data-3cc97fd6-a677-4e92-a6a6-22468e345c32' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>ALB</dd><dt><span>description :</span></dt><dd>surface background albedo</dd><dt><span>units :</span></dt><dd>fract.</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>174</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VGRAT</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-096cb6be-5af9-418b-a1be-2f0e9a1eb8fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-096cb6be-5af9-418b-a1be-2f0e9a1eb8fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15015b0a-7432-430e-9f5b-f7e82600a461' class='xr-var-data-in' type='checkbox'><label for='data-15015b0a-7432-430e-9f5b-f7e82600a461' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>VGRAT</dd><dt><span>description :</span></dt><dd>vegetation ratio</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>198</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VAROR</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4eb1f420-f61d-4775-8c16-30632b36be63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4eb1f420-f61d-4775-8c16-30632b36be63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50835b87-94ea-459b-97c6-4b59c30ae56a' class='xr-var-data-in' type='checkbox'><label for='data-50835b87-94ea-459b-97c6-4b59c30ae56a' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>VAROR</dd><dt><span>description :</span></dt><dd>orographic variance (for surface runoff)</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>199</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VLT</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b2e802a-2651-47e9-816e-1d6b6276443d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b2e802a-2651-47e9-816e-1d6b6276443d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31cae695-6568-48fd-b236-b69e5344be4f' class='xr-var-data-in' type='checkbox'><label for='data-31cae695-6568-48fd-b236-b69e5344be4f' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>VLT</dd><dt><span>description :</span></dt><dd>leaf area index</dd><dt><span>units :</span></dt><dd>m²/m²</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>200</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FOREST</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-96c5f082-e4bd-4549-bb11-bed39d959943' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96c5f082-e4bd-4549-bb11-bed39d959943' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b5e6252-1064-4b0f-a64c-4992411d10e8' class='xr-var-data-in' type='checkbox'><label for='data-8b5e6252-1064-4b0f-a64c-4992411d10e8' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>FOREST</dd><dt><span>description :</span></dt><dd>vegetation type</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>212</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FAO</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f61277fd-3432-49d3-a254-fd6f61d26804' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f61277fd-3432-49d3-a254-fd6f61d26804' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6db7f9fb-024f-436d-b24b-3b5b43658897' class='xr-var-data-in' type='checkbox'><label for='data-6db7f9fb-024f-436d-b24b-3b5b43658897' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>FAO</dd><dt><span>description :</span></dt><dd>FAO data set (soil data flags)</dd><dt><span>units :</span></dt><dd>0...6.</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>226</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSMX</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c46e413c-7323-41f7-b902-812373236540' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c46e413c-7323-41f7-b902-812373236540' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a86d7ad1-abd3-4437-adbb-539c21128aba' class='xr-var-data-in' type='checkbox'><label for='data-a86d7ad1-abd3-4437-adbb-539c21128aba' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>WSMX</dd><dt><span>description :</span></dt><dd>field capacity of soil</dd><dt><span>units :</span></dt><dd>m³/m³</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>229</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>BETA</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fe71484d-e4a8-4540-b53b-79447d14087e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe71484d-e4a8-4540-b53b-79447d14087e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37b941bb-75d0-4101-9a97-7abc53339f4b' class='xr-var-data-in' type='checkbox'><label for='data-37b941bb-75d0-4101-9a97-7abc53339f4b' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>BETA</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>272</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WMINLOK</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6545183b-b310-4dcf-983d-2bd1ed1abd9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6545183b-b310-4dcf-983d-2bd1ed1abd9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86c64986-5f2d-47e3-b895-351b8e7d3ef4' class='xr-var-data-in' type='checkbox'><label for='data-86c64986-5f2d-47e3-b895-351b8e7d3ef4' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>WMINLOK</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>273</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WMAXLOK</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-591ee58b-716e-4204-8775-a66c614fa21f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-591ee58b-716e-4204-8775-a66c614fa21f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1450c428-cf79-4931-97ae-95477fc4df46' class='xr-var-data-in' type='checkbox'><label for='data-1450c428-cf79-4931-97ae-95477fc4df46' 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>grid_mapping :</span></dt><dd>rotated_pole</dd><dt><span>variable :</span></dt><dd>WMAXLOK</dd><dt><span>layer :</span></dt><dd>1.0</dd><dt><span>code :</span></dt><dd>274</dd></dl></div><div class='xr-var-data'><pre>[187489 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9a5869c2-1a0c-4236-9c35-5db84901a8ad' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a5869c2-1a0c-4236-9c35-5db84901a8ad' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.6 (http://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>preprocessing with pyremo = 0.1.0</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.6 (http://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                     (lev: 27, lev_i: 28, rlat: 433, rlon: 433, time: 1)\n",
       "Coordinates:\n",
       "  * rlat                        (rlat) float64 -23.93 -23.82 ... 23.49 23.6\n",
       "  * rlon                        (rlon) float64 -28.93 -28.82 ... 18.49 18.6\n",
       "  * time                        (time) datetime64[ns] 1979-01-01\n",
       "  * lev                         (lev) int64 1 2 3 4 5 6 7 ... 22 23 24 25 26 27\n",
       "  * lev_i                       (lev_i) int64 1 2 3 4 5 6 ... 23 24 25 26 27 28\n",
       "    lon                         (rlat, rlon) float64 ...\n",
       "    lat                         (rlat, rlon) float64 ...\n",
       "Data variables: (12/41)\n",
       "    T                           (time, lev, rlat, rlon) float32 ...\n",
       "    U                           (time, lev, rlat, rlon) float32 ...\n",
       "    V                           (time, lev, rlat, rlon) float32 ...\n",
       "    PS                          (time, rlat, rlon) float32 ...\n",
       "    RF                          (time, lev, rlat, rlon) float32 ...\n",
       "    TSW                         (time, rlat, rlon) float32 nan nan ... nan 271.5\n",
       "    ...                          ...\n",
       "    FOREST                      (rlat, rlon) float32 ...\n",
       "    FAO                         (rlat, rlon) float32 ...\n",
       "    WSMX                        (rlat, rlon) float32 ...\n",
       "    BETA                        (rlat, rlon) float32 ...\n",
       "    WMINLOK                     (rlat, rlon) float32 ...\n",
       "    WMAXLOK                     (rlat, rlon) float32 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.6 (http://mpimet.mpg.de/...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      preprocessing with pyremo = 0.1.0\n",
       "    institution:  European Centre for Medium-Range Weather Forecasts\n",
       "    CDO:          Climate Data Operators version 1.9.6 (http://mpimet.mpg.de/..."
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "afile = xr.merge([afile, surflib], join=\"override\")\n",
    "afile"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we can write back the afile to Netcdf. We have to take care of correct encoding of missing values here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillvars = [\"TSW\", \"SEAICE\", \"TSI\"]\n",
    "\n",
    "for var in afile:\n",
    "    # we have to set the encoding here explicitly, otherwise xarray.to_netcdf will\n",
    "    # encode missing values by NaN, which will crash REMO...\n",
    "    if var in fillvars:\n",
    "        afile[var].encoding[\"_FillValue\"] = 1.0e20\n",
    "    else:\n",
    "        afile[var].encoding[\"_FillValue\"] = None\n",
    "\n",
    "afile.to_netcdf(\n",
    "    \"/work/ch0636/remo/forcing-data/EUR-11/ERA5/vc_27lev/1979/a056530a1979010100_warm_soil.nc\"\n",
    ")"
   ]
  }
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