calculate_utci.ipynb

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   "execution_count": 1,
   "id": "9d24e120-7246-4fe8-a260-563109070f05",
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   "outputs": [],
   "source": [
    "import xclim\n",
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b00e4813-98d3-4b25-a292-8a1d9e59c597",
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    "def open_xrdataset(files, use_cftime=True, parallel=True, data_vars='minimal', chunks={'time':1}, \n",
    "                   coords='minimal', compat='override', drop=None, **kwargs):\n",
    "    \"\"\"optimized function for opening large cf datasets.\n",
    "    based on https://github.com/pydata/xarray/issues/1385#issuecomment-561920115\n",
    "    decode_timedelta=False is added to leave variables and coordinates with time units in \n",
    "    {“days”, “hours”, “minutes”, “seconds”, “milliseconds”, “microseconds”} encoded as numbers.   \n",
    "    \"\"\"\n",
    "    def drop_all_coords(ds):\n",
    "        return ds.reset_coords(drop=True)\n",
    "\n",
    "    ds = xr.open_mfdataset(files, parallel=parallel, decode_times=False, combine='by_coords', \n",
    "                           preprocess=drop_all_coords, decode_cf=False, chunks=chunks,\n",
    "                           data_vars=data_vars, coords=coords, compat=compat, **kwargs)\n",
    "\n",
    "    return xr.decode_cf(ds, use_cftime=use_cftime, decode_timedelta=False)"
   ]
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   "id": "605d25e0-be5e-4477-9e21-cb167583d5e3",
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   "source": [
    "idir=\"/pool/data/CORDEX/data/cordex/output/EUR-11/CLMcom/MPI-M-MPI-ESM-LR/rcp26/r1i1p1/CLMcom-BTU-CCLM4-8-17/v1/3hr\"\n",
    "file_str=idir+\"/{}/v20180220/{}_EUR-11_MPI-M-MPI-ESM-LR_rcp26_r1i1p1_CLMcom-BTU-CCLM4-8-17_v1_3hr_{}.nc\"\n",
    "t1 = \"200701010130-200712312230\"\n",
    "t2 = \"200701010000-200712312100\"\n",
    "t3 = \"200701010000-200712312100\"\n",
    "rsds_file = file_str.format(\"rsds\",\"rsds\", t1)\n",
    "rsus_file = file_str.format(\"rsus\",\"rsus\", t1)\n",
    "rlds_file = file_str.format(\"rlds\",\"rlds\", t1)\n",
    "rlus_file = file_str.format(\"rlus\",\"rlus\", t1)\n",
    "tas_file = file_str.format(\"tas\", \"tas\", t2)\n",
    "sfcWind_file = file_str.format(\"sfcWind\", \"sfcWind\", t3)\n",
    "hurs_file = file_str.format(\"hurs\", \"hurs\", t3)\n",
    "rsds = open_xrdataset(rsds_file).rsds\n",
    "rsus = open_xrdataset(rsus_file).rsus\n",
    "rlds = open_xrdataset(rlds_file).rlds\n",
    "rlus = open_xrdataset(rlus_file).rlus\n",
    "tas = open_xrdataset(tas_file).tas\n",
    "sfcWind = open_xrdataset(sfcWind_file).sfcWind\n",
    "hurs = open_xrdataset(hurs_file).hurs"
   ]
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    "time=\"20070101\"\n",
    "rsds0101 = rsds.sel(time=time).compute()\n",
    "rsus0101 = rsus.sel(time=time).compute()\n",
    "rlds0101 = rlds.sel(time=time).compute()\n",
    "rlus0101 = rlus.sel(time=time).compute()\n",
    "tas0101 = tas.sel(time=time).compute()\n",
    "sfcWind0101 = sfcWind.sel(time=time).compute()\n",
    "hurs0101 = hurs.sel(time=time).compute()"
   ]
  },
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   "cell_type": "code",
   "execution_count": 5,
   "id": "5afdbbdd-df81-4ed0-82ea-a0ee1de17bee",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;rsds&#x27; (time: 8, rlat: 412, rlon: 424)&gt;\n",
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       "        ...,\n",
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       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
       "\n",
       "       [[2.9072686e-07, 2.9037378e-07, 2.9008137e-07, ...,\n",
       "         4.7928886e+01, 4.8709381e+01, 4.9502258e+01],\n",
       "        [2.9261943e-07, 2.9240255e-07, 2.9220550e-07, ...,\n",
       "         4.7790215e+01, 4.8573044e+01, 4.9364784e+01],\n",
       "        [2.9454421e-07, 2.9443714e-07, 2.9433733e-07, ...,\n",
       "         4.7639851e+01, 4.8424007e+01, 4.9227722e+01],\n",
       "...\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
       "\n",
       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        ...,\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * rlon     (rlon) float64 -28.38 -28.26 -28.16 -28.05 ... 17.93 18.05 18.16\n",
       "  * rlat     (rlat) float64 -23.38 -23.26 -23.16 -23.05 ... 21.61 21.73 21.83\n",
       "  * time     (time) object 2007-01-01 01:30:00 ... 2007-01-01 22:30:00\n",
       "    lat      (rlat, rlon) float64 21.99 22.03 22.07 22.11 ... 66.81 66.75 66.69\n",
       "    lon      (rlat, rlon) float64 -10.06 -9.964 -9.864 ... 64.55 64.76 64.96\n",
       "Attributes:\n",
       "    long_name:      Surface Downwelling Shortwave Radiation\n",
       "    units:          W m-2\n",
       "    cell_methods:   time: mean\n",
       "    standard_name:  surface_downwelling_shortwave_flux_in_air\n",
       "    grid_mapping:   rotated_pole</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'rsds'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 8</li><li><span class='xr-has-index'>rlat</span>: 412</li><li><span class='xr-has-index'>rlon</span>: 424</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c3867838-a66b-4ee5-a0be-364941666e3a' class='xr-array-in' type='checkbox' checked><label for='section-c3867838-a66b-4ee5-a0be-364941666e3a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[[0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        ...,\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
       "\n",
       "       [[2.9072686e-07, 2.9037378e-07, 2.9008137e-07, ...,\n",
       "         4.7928886e+01, 4.8709381e+01, 4.9502258e+01],\n",
       "        [2.9261943e-07, 2.9240255e-07, 2.9220550e-07, ...,\n",
       "         4.7790215e+01, 4.8573044e+01, 4.9364784e+01],\n",
       "        [2.9454421e-07, 2.9443714e-07, 2.9433733e-07, ...,\n",
       "         4.7639851e+01, 4.8424007e+01, 4.9227722e+01],\n",
       "...\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
       "\n",
       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        ...,\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-80a2fba8-1b0f-4dba-962c-8a0954c38566' class='xr-section-summary-in' type='checkbox'  checked><label for='section-80a2fba8-1b0f-4dba-962c-8a0954c38566' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rlon</span></div><div class='xr-var-dims'>(rlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-28.38 -28.26 ... 18.05 18.16</div><input id='attrs-7e310c4a-036b-44d8-9ae4-44befc895dc4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e310c4a-036b-44d8-9ae4-44befc895dc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce73b30a-84ff-4fbf-9794-cb4d46b45ca0' class='xr-var-data-in' type='checkbox'><label for='data-ce73b30a-84ff-4fbf-9794-cb4d46b45ca0' 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([-28.375   , -28.264999, -28.155001, ...,  17.934999,  18.045   ,\n",
       "        18.155001])</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'>-23.38 -23.26 ... 21.73 21.83</div><input id='attrs-c8fe99e1-1cbe-4de6-8812-eb7110f64692' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8fe99e1-1cbe-4de6-8812-eb7110f64692' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-070a5702-3c55-4791-885e-25c373db4226' class='xr-var-data-in' type='checkbox'><label for='data-070a5702-3c55-4791-885e-25c373db4226' 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([-23.375   , -23.264999, -23.155001, ...,  21.615   ,  21.725   ,\n",
       "        21.834999])</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'>object</div><div class='xr-var-preview xr-preview'>2007-01-01 01:30:00 ... 2007-01-...</div><input id='attrs-e143a8ba-0d29-4f30-85eb-95d0989e9be7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e143a8ba-0d29-4f30-85eb-95d0989e9be7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdb42e04-1319-4af5-9473-fcbf37d5a4ef' class='xr-var-data-in' type='checkbox'><label for='data-cdb42e04-1319-4af5-9473-fcbf37d5a4ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeProlepticGregorian(2007, 1, 1, 1, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2007, 1, 1, 4, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2007, 1, 1, 7, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2007, 1, 1, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2007, 1, 1, 13, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2007, 1, 1, 16, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2007, 1, 1, 19, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2007, 1, 1, 22, 30, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</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'>21.99 22.03 22.07 ... 66.75 66.69</div><input id='attrs-11b344b5-2b01-4ae4-9d6a-0d508043e83c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11b344b5-2b01-4ae4-9d6a-0d508043e83c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18c688b8-edf3-4ce8-be5b-7bb9d77bce9f' class='xr-var-data-in' type='checkbox'><label for='data-18c688b8-edf3-4ce8-be5b-7bb9d77bce9f' 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><dt><span>bounds :</span></dt><dd>lat_vertices</dd></dl></div><div class='xr-var-data'><pre>array([[21.98782921, 22.02783775, 22.0677166 , ..., 25.1677742 ,\n",
       "        25.14109421, 25.11426163],\n",
       "       [22.08878708, 22.12885857, 22.16879845, ..., 25.27388382,\n",
       "        25.24715805, 25.2202816 ],\n",
       "       [22.1897316 , 22.22986603, 22.26986694, ..., 25.37998581,\n",
       "        25.35321617, 25.32629204],\n",
       "       ...,\n",
       "       [60.05553436, 60.13088608, 60.20613861, ..., 66.63852692,\n",
       "        66.57692719, 66.5151062 ],\n",
       "       [60.1297493 , 60.20521164, 60.28057861, ..., 66.72632599,\n",
       "        66.66455078, 66.60256195],\n",
       "       [60.20376205, 60.27933884, 60.35482025, ..., 66.81394196,\n",
       "        66.7519989 , 66.68983459]])</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'>-10.06 -9.964 ... 64.76 64.96</div><input id='attrs-21a66408-457f-4934-aed3-f63a771061d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21a66408-457f-4934-aed3-f63a771061d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-663382c8-fa70-4cbf-b59a-a053fe5751a7' class='xr-var-data-in' type='checkbox'><label for='data-663382c8-fa70-4cbf-b59a-a053fe5751a7' 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><dt><span>bounds :</span></dt><dd>lon_vertices</dd></dl></div><div class='xr-var-data'><pre>array([[-10.06387901,  -9.96388626,  -9.86380386, ...,  36.19872665,\n",
       "         36.30631256,  36.4138298 ],\n",
       "       [-10.11099529, -10.0108614 ,  -9.9106369 , ...,  36.23077774,\n",
       "         36.33853912,  36.44623184],\n",
       "       [-10.15817928, -10.05790424,  -9.9575386 , ...,  36.26288223,\n",
       "         36.37082291,  36.4786911 ],\n",
       "       ...,\n",
       "       [-44.26744461, -44.12877274, -43.98957062, ...,  64.21746063,\n",
       "         64.42305756,  64.62774658],\n",
       "       [-44.43028641, -44.29178238, -44.15274429, ...,  64.3848877 ,\n",
       "         64.59063721,  64.79547119],\n",
       "       [-44.59386444, -44.45552826, -44.31666183, ...,  64.55349731,\n",
       "         64.75939941,  64.96437836]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7014d0bc-fe66-454a-a7d1-d497be9c9e4e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7014d0bc-fe66-454a-a7d1-d497be9c9e4e' 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>long_name :</span></dt><dd>Surface Downwelling Shortwave Radiation</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>grid_mapping :</span></dt><dd>rotated_pole</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'rsds' (time: 8, rlat: 412, rlon: 424)>\n",
       "array([[[0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        ...,\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
       "\n",
       "       [[2.9072686e-07, 2.9037378e-07, 2.9008137e-07, ...,\n",
       "         4.7928886e+01, 4.8709381e+01, 4.9502258e+01],\n",
       "        [2.9261943e-07, 2.9240255e-07, 2.9220550e-07, ...,\n",
       "         4.7790215e+01, 4.8573044e+01, 4.9364784e+01],\n",
       "        [2.9454421e-07, 2.9443714e-07, 2.9433733e-07, ...,\n",
       "         4.7639851e+01, 4.8424007e+01, 4.9227722e+01],\n",
       "...\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00]],\n",
       "\n",
       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        ...,\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * rlon     (rlon) float64 -28.38 -28.26 -28.16 -28.05 ... 17.93 18.05 18.16\n",
       "  * rlat     (rlat) float64 -23.38 -23.26 -23.16 -23.05 ... 21.61 21.73 21.83\n",
       "  * time     (time) object 2007-01-01 01:30:00 ... 2007-01-01 22:30:00\n",
       "    lat      (rlat, rlon) float64 21.99 22.03 22.07 22.11 ... 66.81 66.75 66.69\n",
       "    lon      (rlat, rlon) float64 -10.06 -9.964 -9.864 ... 64.55 64.76 64.96\n",
       "Attributes:\n",
       "    long_name:      Surface Downwelling Shortwave Radiation\n",
       "    units:          W m-2\n",
       "    cell_methods:   time: mean\n",
       "    standard_name:  surface_downwelling_shortwave_flux_in_air\n",
       "    grid_mapping:   rotated_pole"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rsds0101"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c5e7cf80-e793-4668-a1e8-e79fc097ecad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'time: mean'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rsds0101.cell_methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f7cb3ac6-eec2-4ea1-bc73-3337de7f4697",
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-attrs dt {\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 8, rlat: 412, rlon: 424)&gt;\n",
       "array([[[286.30817, 286.24203, 286.1872 , ..., 296.05615, 295.87848,\n",
       "         295.64508],\n",
       "        [285.99875, 285.76547, 285.68048, ..., 296.0197 , 295.79388,\n",
       "         295.52484],\n",
       "        [285.85226, 285.51517, 285.2664 , ..., 295.99255, 295.7057 ,\n",
       "         295.4195 ],\n",
       "        ...,\n",
       "        [267.64273, 267.30228, 267.7589 , ..., 260.09348, 258.24954,\n",
       "         253.6081 ],\n",
       "        [267.09863, 267.2596 , 268.1305 , ..., 259.2895 , 255.74223,\n",
       "         255.56862],\n",
       "        [266.57736, 267.09427, 268.41254, ..., 256.34256, 255.57207,\n",
       "         254.38156]],\n",
       "\n",
       "       [[284.10962, 284.07382, 284.05728, ..., 295.1284 , 294.93103,\n",
       "         294.70505],\n",
       "        [283.78485, 283.54007, 283.46783, ..., 295.0535 , 294.81976,\n",
       "         294.5671 ],\n",
       "        [283.66504, 283.2976 , 283.01886, ..., 294.97888, 294.7101 ,\n",
       "         294.43747],\n",
       "...\n",
       "        [267.93515, 267.74966, 267.87604, ..., 260.32895, 257.568  ,\n",
       "         253.07106],\n",
       "        [267.5555 , 267.67563, 268.08868, ..., 258.4092 , 257.72885,\n",
       "         254.79099],\n",
       "        [267.28986, 267.88312, 268.58496, ..., 256.18405, 254.32315,\n",
       "         253.52101]],\n",
       "\n",
       "       [[284.33496, 284.33182, 284.34534, ..., 297.43863, 297.22025,\n",
       "         296.97623],\n",
       "        [284.14212, 284.02206, 284.0296 , ..., 297.44736, 297.16867,\n",
       "         296.88113],\n",
       "        [284.03583, 283.8599 , 283.7362 , ..., 297.47952, 297.0998 ,\n",
       "         296.8068 ],\n",
       "        ...,\n",
       "        [267.28476, 267.71292, 267.78378, ..., 259.04825, 256.55927,\n",
       "         253.34995],\n",
       "        [267.27777, 267.6327 , 267.93048, ..., 258.32053, 256.58978,\n",
       "         254.46988],\n",
       "        [267.34738, 267.85254, 268.07343, ..., 255.45947, 253.83102,\n",
       "         253.16388]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * rlon     (rlon) float64 -28.38 -28.26 -28.16 -28.05 ... 17.93 18.05 18.16\n",
       "  * rlat     (rlat) float64 -23.38 -23.26 -23.16 -23.05 ... 21.61 21.73 21.83\n",
       "  * time     (time) object 2007-01-01 00:00:00 ... 2007-01-01 21:00:00\n",
       "    lat      (rlat, rlon) float64 21.99 22.03 22.07 22.11 ... 66.81 66.75 66.69\n",
       "    lon      (rlat, rlon) float64 -10.06 -9.964 -9.864 ... 64.55 64.76 64.96\n",
       "    height   float64 2.0\n",
       "Attributes:\n",
       "    standard_name:  air_temperature\n",
       "    long_name:      Near-Surface Air Temperature\n",
       "    units:          K\n",
       "    cell_methods:   time: point\n",
       "    grid_mapping:   rotated_pole</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 8</li><li><span class='xr-has-index'>rlat</span>: 412</li><li><span class='xr-has-index'>rlon</span>: 424</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1bd64cd9-8a40-44c0-8157-a30888615b9a' class='xr-array-in' type='checkbox' checked><label for='section-1bd64cd9-8a40-44c0-8157-a30888615b9a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>286.3 286.2 286.2 286.1 286.1 286.1 ... 250.8 253.4 255.5 253.8 253.2</span></div><div class='xr-array-data'><pre>array([[[286.30817, 286.24203, 286.1872 , ..., 296.05615, 295.87848,\n",
       "         295.64508],\n",
       "        [285.99875, 285.76547, 285.68048, ..., 296.0197 , 295.79388,\n",
       "         295.52484],\n",
       "        [285.85226, 285.51517, 285.2664 , ..., 295.99255, 295.7057 ,\n",
       "         295.4195 ],\n",
       "        ...,\n",
       "        [267.64273, 267.30228, 267.7589 , ..., 260.09348, 258.24954,\n",
       "         253.6081 ],\n",
       "        [267.09863, 267.2596 , 268.1305 , ..., 259.2895 , 255.74223,\n",
       "         255.56862],\n",
       "        [266.57736, 267.09427, 268.41254, ..., 256.34256, 255.57207,\n",
       "         254.38156]],\n",
       "\n",
       "       [[284.10962, 284.07382, 284.05728, ..., 295.1284 , 294.93103,\n",
       "         294.70505],\n",
       "        [283.78485, 283.54007, 283.46783, ..., 295.0535 , 294.81976,\n",
       "         294.5671 ],\n",
       "        [283.66504, 283.2976 , 283.01886, ..., 294.97888, 294.7101 ,\n",
       "         294.43747],\n",
       "...\n",
       "        [267.93515, 267.74966, 267.87604, ..., 260.32895, 257.568  ,\n",
       "         253.07106],\n",
       "        [267.5555 , 267.67563, 268.08868, ..., 258.4092 , 257.72885,\n",
       "         254.79099],\n",
       "        [267.28986, 267.88312, 268.58496, ..., 256.18405, 254.32315,\n",
       "         253.52101]],\n",
       "\n",
       "       [[284.33496, 284.33182, 284.34534, ..., 297.43863, 297.22025,\n",
       "         296.97623],\n",
       "        [284.14212, 284.02206, 284.0296 , ..., 297.44736, 297.16867,\n",
       "         296.88113],\n",
       "        [284.03583, 283.8599 , 283.7362 , ..., 297.47952, 297.0998 ,\n",
       "         296.8068 ],\n",
       "        ...,\n",
       "        [267.28476, 267.71292, 267.78378, ..., 259.04825, 256.55927,\n",
       "         253.34995],\n",
       "        [267.27777, 267.6327 , 267.93048, ..., 258.32053, 256.58978,\n",
       "         254.46988],\n",
       "        [267.34738, 267.85254, 268.07343, ..., 255.45947, 253.83102,\n",
       "         253.16388]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-d0bdf78a-534f-4713-b0df-42b811512744' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d0bdf78a-534f-4713-b0df-42b811512744' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span 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'>-28.38 -28.26 ... 18.05 18.16</div><input id='attrs-4496a40d-a244-4bbf-b286-143cbd05cf28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4496a40d-a244-4bbf-b286-143cbd05cf28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-356576b4-1b1d-4768-91d1-a6734568de22' class='xr-var-data-in' type='checkbox'><label for='data-356576b4-1b1d-4768-91d1-a6734568de22' 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([-28.375   , -28.264999, -28.155001, ...,  17.934999,  18.045   ,\n",
       "        18.155001])</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'>-23.38 -23.26 ... 21.73 21.83</div><input id='attrs-adfde0ca-de6f-43e0-afe4-0ef33c4edddf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adfde0ca-de6f-43e0-afe4-0ef33c4edddf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4268c5b2-f0f3-4885-af59-da0b1f811e5b' class='xr-var-data-in' type='checkbox'><label for='data-4268c5b2-f0f3-4885-af59-da0b1f811e5b' 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([-23.375   , -23.264999, -23.155001, ...,  21.615   ,  21.725   ,\n",
       "        21.834999])</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'>object</div><div class='xr-var-preview xr-preview'>2007-01-01 00:00:00 ... 2007-01-...</div><input id='attrs-acbaff05-79fd-4cb6-878d-884eba6e6073' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acbaff05-79fd-4cb6-878d-884eba6e6073' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff271aa6-0e61-425d-aa4e-203dba7efb38' class='xr-var-data-in' type='checkbox'><label for='data-ff271aa6-0e61-425d-aa4e-203dba7efb38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeProlepticGregorian(2007, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2007, 1, 1, 3, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2007, 1, 1, 6, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2007, 1, 1, 9, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2007, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2007, 1, 1, 15, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2007, 1, 1, 18, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2007, 1, 1, 21, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>21.99 22.03 22.07 ... 66.75 66.69</div><input id='attrs-3be086be-cf0d-442c-9513-331b37b1c408' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3be086be-cf0d-442c-9513-331b37b1c408' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e547c63-9b1c-43df-8f6b-673798599cd7' class='xr-var-data-in' type='checkbox'><label for='data-6e547c63-9b1c-43df-8f6b-673798599cd7' 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><dt><span>bounds :</span></dt><dd>lat_vertices</dd></dl></div><div class='xr-var-data'><pre>array([[21.98782921, 22.02783775, 22.0677166 , ..., 25.1677742 ,\n",
       "        25.14109421, 25.11426163],\n",
       "       [22.08878708, 22.12885857, 22.16879845, ..., 25.27388382,\n",
       "        25.24715805, 25.2202816 ],\n",
       "       [22.1897316 , 22.22986603, 22.26986694, ..., 25.37998581,\n",
       "        25.35321617, 25.32629204],\n",
       "       ...,\n",
       "       [60.05553436, 60.13088608, 60.20613861, ..., 66.63852692,\n",
       "        66.57692719, 66.5151062 ],\n",
       "       [60.1297493 , 60.20521164, 60.28057861, ..., 66.72632599,\n",
       "        66.66455078, 66.60256195],\n",
       "       [60.20376205, 60.27933884, 60.35482025, ..., 66.81394196,\n",
       "        66.7519989 , 66.68983459]])</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'>-10.06 -9.964 ... 64.76 64.96</div><input id='attrs-9e9252b6-3914-483f-9bd8-55f4568fd847' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e9252b6-3914-483f-9bd8-55f4568fd847' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e5f6bd7-fca9-4357-8f39-59fcee632b7c' class='xr-var-data-in' type='checkbox'><label for='data-4e5f6bd7-fca9-4357-8f39-59fcee632b7c' 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><dt><span>bounds :</span></dt><dd>lon_vertices</dd></dl></div><div class='xr-var-data'><pre>array([[-10.06387901,  -9.96388626,  -9.86380386, ...,  36.19872665,\n",
       "         36.30631256,  36.4138298 ],\n",
       "       [-10.11099529, -10.0108614 ,  -9.9106369 , ...,  36.23077774,\n",
       "         36.33853912,  36.44623184],\n",
       "       [-10.15817928, -10.05790424,  -9.9575386 , ...,  36.26288223,\n",
       "         36.37082291,  36.4786911 ],\n",
       "       ...,\n",
       "       [-44.26744461, -44.12877274, -43.98957062, ...,  64.21746063,\n",
       "         64.42305756,  64.62774658],\n",
       "       [-44.43028641, -44.29178238, -44.15274429, ...,  64.3848877 ,\n",
       "         64.59063721,  64.79547119],\n",
       "       [-44.59386444, -44.45552826, -44.31666183, ...,  64.55349731,\n",
       "         64.75939941,  64.96437836]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-c4dd0a43-87f5-4ca7-9872-061eb392fe13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4dd0a43-87f5-4ca7-9872-061eb392fe13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58236e59-8c4c-48b7-a0fe-d63b3af038ec' class='xr-var-data-in' type='checkbox'><label for='data-58236e59-8c4c-48b7-a0fe-d63b3af038ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b3984a4d-b021-4d6a-a272-f6b4b729216e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b3984a4d-b021-4d6a-a272-f6b4b729216e' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>grid_mapping :</span></dt><dd>rotated_pole</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'tas' (time: 8, rlat: 412, rlon: 424)>\n",
       "array([[[286.30817, 286.24203, 286.1872 , ..., 296.05615, 295.87848,\n",
       "         295.64508],\n",
       "        [285.99875, 285.76547, 285.68048, ..., 296.0197 , 295.79388,\n",
       "         295.52484],\n",
       "        [285.85226, 285.51517, 285.2664 , ..., 295.99255, 295.7057 ,\n",
       "         295.4195 ],\n",
       "        ...,\n",
       "        [267.64273, 267.30228, 267.7589 , ..., 260.09348, 258.24954,\n",
       "         253.6081 ],\n",
       "        [267.09863, 267.2596 , 268.1305 , ..., 259.2895 , 255.74223,\n",
       "         255.56862],\n",
       "        [266.57736, 267.09427, 268.41254, ..., 256.34256, 255.57207,\n",
       "         254.38156]],\n",
       "\n",
       "       [[284.10962, 284.07382, 284.05728, ..., 295.1284 , 294.93103,\n",
       "         294.70505],\n",
       "        [283.78485, 283.54007, 283.46783, ..., 295.0535 , 294.81976,\n",
       "         294.5671 ],\n",
       "        [283.66504, 283.2976 , 283.01886, ..., 294.97888, 294.7101 ,\n",
       "         294.43747],\n",
       "...\n",
       "        [267.93515, 267.74966, 267.87604, ..., 260.32895, 257.568  ,\n",
       "         253.07106],\n",
       "        [267.5555 , 267.67563, 268.08868, ..., 258.4092 , 257.72885,\n",
       "         254.79099],\n",
       "        [267.28986, 267.88312, 268.58496, ..., 256.18405, 254.32315,\n",
       "         253.52101]],\n",
       "\n",
       "       [[284.33496, 284.33182, 284.34534, ..., 297.43863, 297.22025,\n",
       "         296.97623],\n",
       "        [284.14212, 284.02206, 284.0296 , ..., 297.44736, 297.16867,\n",
       "         296.88113],\n",
       "        [284.03583, 283.8599 , 283.7362 , ..., 297.47952, 297.0998 ,\n",
       "         296.8068 ],\n",
       "        ...,\n",
       "        [267.28476, 267.71292, 267.78378, ..., 259.04825, 256.55927,\n",
       "         253.34995],\n",
       "        [267.27777, 267.6327 , 267.93048, ..., 258.32053, 256.58978,\n",
       "         254.46988],\n",
       "        [267.34738, 267.85254, 268.07343, ..., 255.45947, 253.83102,\n",
       "         253.16388]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * rlon     (rlon) float64 -28.38 -28.26 -28.16 -28.05 ... 17.93 18.05 18.16\n",
       "  * rlat     (rlat) float64 -23.38 -23.26 -23.16 -23.05 ... 21.61 21.73 21.83\n",
       "  * time     (time) object 2007-01-01 00:00:00 ... 2007-01-01 21:00:00\n",
       "    lat      (rlat, rlon) float64 21.99 22.03 22.07 22.11 ... 66.81 66.75 66.69\n",
       "    lon      (rlat, rlon) float64 -10.06 -9.964 -9.864 ... 64.55 64.76 64.96\n",
       "    height   float64 2.0\n",
       "Attributes:\n",
       "    standard_name:  air_temperature\n",
       "    long_name:      Near-Surface Air Temperature\n",
       "    units:          K\n",
       "    cell_methods:   time: point\n",
       "    grid_mapping:   rotated_pole"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tas0101"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1fcf4bfa-0df1-4bc9-9691-141d695d6b48",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'time: point'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tas0101.cell_methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a1dc456e-47d8-4d70-b871-19193cfff86d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/g/g300100/.conda/envs/xclim/lib/python3.10/site-packages/xarray/core/computation.py:727: RuntimeWarning: invalid value encountered in arccos\n",
      "  result_data = func(*input_data)\n",
      "/home/g/g300100/.conda/envs/xclim/lib/python3.10/site-packages/xarray/core/computation.py:727: RuntimeWarning: invalid value encountered in arccos\n",
      "  result_data = func(*input_data)\n",
      "/home/g/g300100/.conda/envs/xclim/lib/python3.10/site-packages/xarray/core/computation.py:727: RuntimeWarning: invalid value encountered in arccos\n",
      "  result_data = func(*input_data)\n",
      "/home/g/g300100/.conda/envs/xclim/lib/python3.10/site-packages/xarray/core/computation.py:727: RuntimeWarning: invalid value encountered in arccos\n",
      "  result_data = func(*input_data)\n"
     ]
    }
   ],
   "source": [
    "mrt_sun = xclim.indices.mean_radiant_temperature(rsds=rsds0101, \n",
    "                                                 rsus=rsus0101, \n",
    "                                                 rlds=rlds0101, \n",
    "                                                 rlus=rlus0101, \n",
    "                                                 stat=\"sunlit\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2422fb7c-684c-43c5-8124-9ae0f8b349c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fff2d928ee0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mrt_sun.isel(time=0).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "04d36cb0-615d-495e-bfc3-5c5f70704559",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/g/g300100/.conda/envs/xclim/lib/python3.10/site-packages/xarray/core/computation.py:727: RuntimeWarning: invalid value encountered in arccos\n",
      "  result_data = func(*input_data)\n",
      "/home/g/g300100/.conda/envs/xclim/lib/python3.10/site-packages/xarray/core/computation.py:727: RuntimeWarning: invalid value encountered in arccos\n",
      "  result_data = func(*input_data)\n"
     ]
    }
   ],
   "source": [
    "mrt_avg = xclim.indices.mean_radiant_temperature(rsds=rsds0101, \n",
    "                                                 rsus=rsus0101, \n",
    "                                                 rlds=rlds0101, \n",
    "                                                 rlus=rlus0101, \n",
    "                                                 stat=\"average\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "93440c9b-2b23-4e76-b128-2974bd4c2800",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fff256a81f0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mrt_avg.isel(time=0).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "69bc5a09-ac5e-4569-b301-4d70ce9e5a16",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/g/g300100/.conda/envs/xclim/lib/python3.10/site-packages/xarray/core/computation.py:727: RuntimeWarning: invalid value encountered in arccos\n",
      "  result_data = func(*input_data)\n",
      "/home/g/g300100/.conda/envs/xclim/lib/python3.10/site-packages/xarray/core/computation.py:727: RuntimeWarning: invalid value encountered in arccos\n",
      "  result_data = func(*input_data)\n"
     ]
    }
   ],
   "source": [
    "mrt_ins = xclim.indices.mean_radiant_temperature(rsds=rsds0101, \n",
    "                                                 rsus=rsus0101, \n",
    "                                                 rlds=rlds0101, \n",
    "                                                 rlus=rlus0101, \n",
    "                                                 stat=\"instant\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "bf1a37bb-7d17-4f95-a61b-4b00bf662403",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fff24564ca0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mrt_ins.isel(time=0).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5dedd65d-ee98-47e2-a51f-5172e10786a1",
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'DataArray' object has no attribute 'cell_methods'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Input \u001b[0;32mIn [15]\u001b[0m, in \u001b[0;36m<cell line: 3>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m#mrt_sun.cell_methods\u001b[39;00m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;66;03m#mrt_avg.cell_methods\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mmrt_ins\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcell_methods\u001b[49m\n",
      "File \u001b[0;32m~/.conda/envs/xclim/lib/python3.10/site-packages/xarray/core/common.py:239\u001b[0m, in \u001b[0;36mAttrAccessMixin.__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m    237\u001b[0m         \u001b[38;5;28;01mwith\u001b[39;00m suppress(\u001b[38;5;167;01mKeyError\u001b[39;00m):\n\u001b[1;32m    238\u001b[0m             \u001b[38;5;28;01mreturn\u001b[39;00m source[name]\n\u001b[0;32m--> 239\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m(\n\u001b[1;32m    240\u001b[0m     \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m object has no attribute \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    241\u001b[0m )\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'DataArray' object has no attribute 'cell_methods'"
     ]
    }
   ],
   "source": [
    "#mrt_sun.cell_methods\n",
    "#mrt_avg.cell_methods\n",
    "mrt_ins.cell_methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "bbacfa64-ea21-4eb9-ac63-28af0bb7ae71",
   "metadata": {},
   "outputs": [],
   "source": [
    "utci_sun = xclim.indices.universal_thermal_climate_index(tas=tas0101, \n",
    "                                                         hurs=hurs0101, \n",
    "                                                         sfcWind=sfcWind0101, \n",
    "                                                         tmrt=mrt_sun)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a9a3aaab-620f-4d88-b2d7-50929ad1454d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 0, rlat: 412, rlon: 424)&gt;\n",
       "array([], shape=(0, 412, 424), dtype=float64)\n",
       "Coordinates:\n",
       "  * time     (time) object \n",
       "  * rlon     (rlon) float64 -28.38 -28.26 -28.16 -28.05 ... 17.93 18.05 18.16\n",
       "  * rlat     (rlat) float64 -23.38 -23.26 -23.16 -23.05 ... 21.61 21.73 21.83\n",
       "    lat      (rlat, rlon) float64 21.99 22.03 22.07 22.11 ... 66.81 66.75 66.69\n",
       "    lon      (rlat, rlon) float64 -10.06 -9.964 -9.864 ... 64.55 64.76 64.96\n",
       "    height   float64 10.0\n",
       "Attributes:\n",
       "    standard_name:  air_temperature\n",
       "    long_name:      Near-Surface Air Temperature\n",
       "    units:          °C\n",
       "    cell_methods:   time: point\n",
       "    grid_mapping:   rotated_pole</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 0</li><li><span class='xr-has-index'>rlat</span>: 412</li><li><span class='xr-has-index'>rlon</span>: 424</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d9c97ca0-60f3-423d-a9e7-2c4972f154b6' class='xr-array-in' type='checkbox' checked><label for='section-d9c97ca0-60f3-423d-a9e7-2c4972f154b6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span></span></div><div class='xr-array-data'><pre>array([], shape=(0, 412, 424), dtype=float64)</pre></div></div></li><li class='xr-section-item'><input id='section-6625db38-7533-43d4-a9d8-5bf69543a7c5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6625db38-7533-43d4-a9d8-5bf69543a7c5' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'></div><input id='attrs-446d398d-f656-49c2-af69-c66439071647' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-446d398d-f656-49c2-af69-c66439071647' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6e184b6-9985-4709-9793-e5eb63a10369' class='xr-var-data-in' type='checkbox'><label for='data-b6e184b6-9985-4709-9793-e5eb63a10369' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([], dtype=object)</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'>-28.38 -28.26 ... 18.05 18.16</div><input id='attrs-ff7db13a-3de9-4405-aecd-12f2f11201e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff7db13a-3de9-4405-aecd-12f2f11201e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50772737-4dde-403e-a8d2-4de61ff92d26' class='xr-var-data-in' type='checkbox'><label for='data-50772737-4dde-403e-a8d2-4de61ff92d26' 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([-28.375   , -28.264999, -28.155001, ...,  17.934999,  18.045   ,\n",
       "        18.155001])</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'>-23.38 -23.26 ... 21.73 21.83</div><input id='attrs-6194f353-93ce-4584-b861-be10b91a1d3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6194f353-93ce-4584-b861-be10b91a1d3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab810a03-c926-4c08-9868-9db1e5dcebd8' class='xr-var-data-in' type='checkbox'><label for='data-ab810a03-c926-4c08-9868-9db1e5dcebd8' 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([-23.375   , -23.264999, -23.155001, ...,  21.615   ,  21.725   ,\n",
       "        21.834999])</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'>21.99 22.03 22.07 ... 66.75 66.69</div><input id='attrs-dc19620a-05c7-4414-9e3b-5ad015588a80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc19620a-05c7-4414-9e3b-5ad015588a80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a928db8e-c66d-4a94-beab-e6097253c988' class='xr-var-data-in' type='checkbox'><label for='data-a928db8e-c66d-4a94-beab-e6097253c988' 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><dt><span>bounds :</span></dt><dd>lat_vertices</dd></dl></div><div class='xr-var-data'><pre>array([[21.98782921, 22.02783775, 22.0677166 , ..., 25.1677742 ,\n",
       "        25.14109421, 25.11426163],\n",
       "       [22.08878708, 22.12885857, 22.16879845, ..., 25.27388382,\n",
       "        25.24715805, 25.2202816 ],\n",
       "       [22.1897316 , 22.22986603, 22.26986694, ..., 25.37998581,\n",
       "        25.35321617, 25.32629204],\n",
       "       ...,\n",
       "       [60.05553436, 60.13088608, 60.20613861, ..., 66.63852692,\n",
       "        66.57692719, 66.5151062 ],\n",
       "       [60.1297493 , 60.20521164, 60.28057861, ..., 66.72632599,\n",
       "        66.66455078, 66.60256195],\n",
       "       [60.20376205, 60.27933884, 60.35482025, ..., 66.81394196,\n",
       "        66.7519989 , 66.68983459]])</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'>-10.06 -9.964 ... 64.76 64.96</div><input id='attrs-2dd386cf-2a60-4fe4-b039-d6115f31b759' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2dd386cf-2a60-4fe4-b039-d6115f31b759' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8458c1f8-f5e4-4d5f-bf49-02e93e42049f' class='xr-var-data-in' type='checkbox'><label for='data-8458c1f8-f5e4-4d5f-bf49-02e93e42049f' 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><dt><span>bounds :</span></dt><dd>lon_vertices</dd></dl></div><div class='xr-var-data'><pre>array([[-10.06387901,  -9.96388626,  -9.86380386, ...,  36.19872665,\n",
       "         36.30631256,  36.4138298 ],\n",
       "       [-10.11099529, -10.0108614 ,  -9.9106369 , ...,  36.23077774,\n",
       "         36.33853912,  36.44623184],\n",
       "       [-10.15817928, -10.05790424,  -9.9575386 , ...,  36.26288223,\n",
       "         36.37082291,  36.4786911 ],\n",
       "       ...,\n",
       "       [-44.26744461, -44.12877274, -43.98957062, ...,  64.21746063,\n",
       "         64.42305756,  64.62774658],\n",
       "       [-44.43028641, -44.29178238, -44.15274429, ...,  64.3848877 ,\n",
       "         64.59063721,  64.79547119],\n",
       "       [-44.59386444, -44.45552826, -44.31666183, ...,  64.55349731,\n",
       "         64.75939941,  64.96437836]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0</div><input id='attrs-97593b32-4f8a-4300-ba5d-498167b49ad6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97593b32-4f8a-4300-ba5d-498167b49ad6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fb36b47-20d9-48fd-a361-e04144168706' class='xr-var-data-in' type='checkbox'><label for='data-5fb36b47-20d9-48fd-a361-e04144168706' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c30c9247-78b1-4c3c-b0e1-96cf7431660e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c30c9247-78b1-4c3c-b0e1-96cf7431660e' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>grid_mapping :</span></dt><dd>rotated_pole</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'tas' (time: 0, rlat: 412, rlon: 424)>\n",
       "array([], shape=(0, 412, 424), dtype=float64)\n",
       "Coordinates:\n",
       "  * time     (time) object \n",
       "  * rlon     (rlon) float64 -28.38 -28.26 -28.16 -28.05 ... 17.93 18.05 18.16\n",
       "  * rlat     (rlat) float64 -23.38 -23.26 -23.16 -23.05 ... 21.61 21.73 21.83\n",
       "    lat      (rlat, rlon) float64 21.99 22.03 22.07 22.11 ... 66.81 66.75 66.69\n",
       "    lon      (rlat, rlon) float64 -10.06 -9.964 -9.864 ... 64.55 64.76 64.96\n",
       "    height   float64 10.0\n",
       "Attributes:\n",
       "    standard_name:  air_temperature\n",
       "    long_name:      Near-Surface Air Temperature\n",
       "    units:          °C\n",
       "    cell_methods:   time: point\n",
       "    grid_mapping:   rotated_pole"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "utci_sun"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a755b19a-4347-4160-9c57-e86ab77da3dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "utci_avg = xclim.indices.universal_thermal_climate_index(tas=tas0101, \n",
    "                                                         hurs=hurs0101, \n",
    "                                                         sfcWind=sfcWind0101, \n",
    "                                                         tmrt=mrt_avg)"
   ]
  },
  {
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   "execution_count": 19,
   "id": "c90fee6c-8923-4b45-866e-6d32c9eca904",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tas&#x27; (time: 0, rlat: 412, rlon: 424)&gt;\n",
       "array([], shape=(0, 412, 424), dtype=float64)\n",
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       "    height   float64 10.0\n",
       "Attributes:\n",
       "    standard_name:  air_temperature\n",
       "    long_name:      Near-Surface Air Temperature\n",
       "    units:          °C\n",
       "    cell_methods:   time: point\n",
       "    grid_mapping:   rotated_pole</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 0</li><li><span class='xr-has-index'>rlat</span>: 412</li><li><span class='xr-has-index'>rlon</span>: 424</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1a391b91-201d-4e88-b6bc-67e8f9960855' class='xr-array-in' type='checkbox' checked><label for='section-1a391b91-201d-4e88-b6bc-67e8f9960855' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span></span></div><div class='xr-array-data'><pre>array([], shape=(0, 412, 424), dtype=float64)</pre></div></div></li><li class='xr-section-item'><input id='section-b0e63443-29b0-4f11-9671-5af9fa21a403' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b0e63443-29b0-4f11-9671-5af9fa21a403' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'></div><input id='attrs-d938ed78-db8c-4438-9dc1-2b328c54138f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d938ed78-db8c-4438-9dc1-2b328c54138f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3b1cc47-d17e-4a45-a065-d821fcf1f883' class='xr-var-data-in' type='checkbox'><label for='data-e3b1cc47-d17e-4a45-a065-d821fcf1f883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([], dtype=object)</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'>-28.38 -28.26 ... 18.05 18.16</div><input id='attrs-58f16c54-9df1-4bcd-b71b-a107827fabcb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58f16c54-9df1-4bcd-b71b-a107827fabcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c24ee50-2e96-4702-9bf3-5aaae05a604e' class='xr-var-data-in' type='checkbox'><label for='data-7c24ee50-2e96-4702-9bf3-5aaae05a604e' 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([-28.375   , -28.264999, -28.155001, ...,  17.934999,  18.045   ,\n",
       "        18.155001])</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'>-23.38 -23.26 ... 21.73 21.83</div><input id='attrs-af96cb30-c0c7-420a-925a-326874c5aa49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af96cb30-c0c7-420a-925a-326874c5aa49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ce746be-7e73-4b62-8837-d3c33e4a10af' class='xr-var-data-in' type='checkbox'><label for='data-6ce746be-7e73-4b62-8837-d3c33e4a10af' 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([-23.375   , -23.264999, -23.155001, ...,  21.615   ,  21.725   ,\n",
       "        21.834999])</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'>21.99 22.03 22.07 ... 66.75 66.69</div><input id='attrs-45ded566-4add-4e6c-a37f-01aac7299512' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45ded566-4add-4e6c-a37f-01aac7299512' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-069c07ac-ae32-4fa0-81fc-b393ccf85f08' class='xr-var-data-in' type='checkbox'><label for='data-069c07ac-ae32-4fa0-81fc-b393ccf85f08' 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><dt><span>bounds :</span></dt><dd>lat_vertices</dd></dl></div><div class='xr-var-data'><pre>array([[21.98782921, 22.02783775, 22.0677166 , ..., 25.1677742 ,\n",
       "        25.14109421, 25.11426163],\n",
       "       [22.08878708, 22.12885857, 22.16879845, ..., 25.27388382,\n",
       "        25.24715805, 25.2202816 ],\n",
       "       [22.1897316 , 22.22986603, 22.26986694, ..., 25.37998581,\n",
       "        25.35321617, 25.32629204],\n",
       "       ...,\n",
       "       [60.05553436, 60.13088608, 60.20613861, ..., 66.63852692,\n",
       "        66.57692719, 66.5151062 ],\n",
       "       [60.1297493 , 60.20521164, 60.28057861, ..., 66.72632599,\n",
       "        66.66455078, 66.60256195],\n",
       "       [60.20376205, 60.27933884, 60.35482025, ..., 66.81394196,\n",
       "        66.7519989 , 66.68983459]])</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'>-10.06 -9.964 ... 64.76 64.96</div><input id='attrs-58512316-af52-41ba-b5de-dcf030e7fe7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58512316-af52-41ba-b5de-dcf030e7fe7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79f8621a-1c56-4346-be00-bd195e4ce701' class='xr-var-data-in' type='checkbox'><label for='data-79f8621a-1c56-4346-be00-bd195e4ce701' 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><dt><span>bounds :</span></dt><dd>lon_vertices</dd></dl></div><div class='xr-var-data'><pre>array([[-10.06387901,  -9.96388626,  -9.86380386, ...,  36.19872665,\n",
       "         36.30631256,  36.4138298 ],\n",
       "       [-10.11099529, -10.0108614 ,  -9.9106369 , ...,  36.23077774,\n",
       "         36.33853912,  36.44623184],\n",
       "       [-10.15817928, -10.05790424,  -9.9575386 , ...,  36.26288223,\n",
       "         36.37082291,  36.4786911 ],\n",
       "       ...,\n",
       "       [-44.26744461, -44.12877274, -43.98957062, ...,  64.21746063,\n",
       "         64.42305756,  64.62774658],\n",
       "       [-44.43028641, -44.29178238, -44.15274429, ...,  64.3848877 ,\n",
       "         64.59063721,  64.79547119],\n",
       "       [-44.59386444, -44.45552826, -44.31666183, ...,  64.55349731,\n",
       "         64.75939941,  64.96437836]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0</div><input id='attrs-7e29193f-82b0-4894-ae2d-d23fe3352620' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e29193f-82b0-4894-ae2d-d23fe3352620' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d257b694-ed1a-4295-af26-06e572836a5f' class='xr-var-data-in' type='checkbox'><label for='data-d257b694-ed1a-4295-af26-06e572836a5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-32a19f44-afe2-4062-923c-9850fc840b4f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-32a19f44-afe2-4062-923c-9850fc840b4f' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>grid_mapping :</span></dt><dd>rotated_pole</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'tas' (time: 0, rlat: 412, rlon: 424)>\n",
       "array([], shape=(0, 412, 424), dtype=float64)\n",
       "Coordinates:\n",
       "  * time     (time) object \n",
       "  * rlon     (rlon) float64 -28.38 -28.26 -28.16 -28.05 ... 17.93 18.05 18.16\n",
       "  * rlat     (rlat) float64 -23.38 -23.26 -23.16 -23.05 ... 21.61 21.73 21.83\n",
       "    lat      (rlat, rlon) float64 21.99 22.03 22.07 22.11 ... 66.81 66.75 66.69\n",
       "    lon      (rlat, rlon) float64 -10.06 -9.964 -9.864 ... 64.55 64.76 64.96\n",
       "    height   float64 10.0\n",
       "Attributes:\n",
       "    standard_name:  air_temperature\n",
       "    long_name:      Near-Surface Air Temperature\n",
       "    units:          °C\n",
       "    cell_methods:   time: point\n",
       "    grid_mapping:   rotated_pole"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "utci_avg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a942ab2a-4acc-4b93-a897-0bee144cb42a",
   "metadata": {},
   "outputs": [],
   "source": [
    "utci_ins = xclim.indices.universal_thermal_climate_index(tas=tas0101, \n",
    "                                                         hurs=hurs0101, \n",
    "                                                         sfcWind=sfcWind0101, \n",
    "                                                         tmrt=mrt_ins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5ad602d0-38eb-4287-a070-9e810b5bacc1",
   "metadata": {},
   "outputs": [
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       "}\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",
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       "\n",
       ".xr-var-preview {\n",
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       "\n",
       ".xr-var-name,\n",
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       "\n",
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       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
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       "\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",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
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       "\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",
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       "\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.DataArray &#x27;tas&#x27; (time: 0, rlat: 412, rlon: 424)&gt;\n",
       "array([], shape=(0, 412, 424), dtype=float64)\n",
       "Coordinates:\n",
       "  * time     (time) object \n",
       "  * rlon     (rlon) float64 -28.38 -28.26 -28.16 -28.05 ... 17.93 18.05 18.16\n",
       "  * rlat     (rlat) float64 -23.38 -23.26 -23.16 -23.05 ... 21.61 21.73 21.83\n",
       "    lat      (rlat, rlon) float64 21.99 22.03 22.07 22.11 ... 66.81 66.75 66.69\n",
       "    lon      (rlat, rlon) float64 -10.06 -9.964 -9.864 ... 64.55 64.76 64.96\n",
       "    height   float64 10.0\n",
       "Attributes:\n",
       "    standard_name:  air_temperature\n",
       "    long_name:      Near-Surface Air Temperature\n",
       "    units:          °C\n",
       "    cell_methods:   time: point\n",
       "    grid_mapping:   rotated_pole</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tas'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 0</li><li><span class='xr-has-index'>rlat</span>: 412</li><li><span class='xr-has-index'>rlon</span>: 424</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-85cd19ac-9f5e-45e6-bbcc-a72ba5ed830b' class='xr-array-in' type='checkbox' checked><label for='section-85cd19ac-9f5e-45e6-bbcc-a72ba5ed830b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span></span></div><div class='xr-array-data'><pre>array([], shape=(0, 412, 424), dtype=float64)</pre></div></div></li><li class='xr-section-item'><input id='section-44ec1629-aa19-4f8b-a19e-a3d9c0d5a2ea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-44ec1629-aa19-4f8b-a19e-a3d9c0d5a2ea' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'></div><input id='attrs-536c0bb3-c425-419b-a62e-8de6f0969ac9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-536c0bb3-c425-419b-a62e-8de6f0969ac9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08c9e08f-a5c3-484b-b5d4-cd13341e0a25' class='xr-var-data-in' type='checkbox'><label for='data-08c9e08f-a5c3-484b-b5d4-cd13341e0a25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([], dtype=object)</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'>-28.38 -28.26 ... 18.05 18.16</div><input id='attrs-0da4e0d6-c041-42cf-82dd-c8fe950c0ae4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0da4e0d6-c041-42cf-82dd-c8fe950c0ae4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d8705d4-f063-42f5-839e-f3d7d95f3706' class='xr-var-data-in' type='checkbox'><label for='data-3d8705d4-f063-42f5-839e-f3d7d95f3706' 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([-28.375   , -28.264999, -28.155001, ...,  17.934999,  18.045   ,\n",
       "        18.155001])</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'>-23.38 -23.26 ... 21.73 21.83</div><input id='attrs-d220564c-048d-44f7-bc1f-d2a320848fe2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d220564c-048d-44f7-bc1f-d2a320848fe2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7be0f8b8-6d5b-49c6-a7b8-0190916688a2' class='xr-var-data-in' type='checkbox'><label for='data-7be0f8b8-6d5b-49c6-a7b8-0190916688a2' 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([-23.375   , -23.264999, -23.155001, ...,  21.615   ,  21.725   ,\n",
       "        21.834999])</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'>21.99 22.03 22.07 ... 66.75 66.69</div><input id='attrs-dbd13855-15a9-4707-ad55-5f385bf02470' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbd13855-15a9-4707-ad55-5f385bf02470' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5349026-1c9c-4bee-a9c2-beae735183c5' class='xr-var-data-in' type='checkbox'><label for='data-f5349026-1c9c-4bee-a9c2-beae735183c5' 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><dt><span>bounds :</span></dt><dd>lat_vertices</dd></dl></div><div class='xr-var-data'><pre>array([[21.98782921, 22.02783775, 22.0677166 , ..., 25.1677742 ,\n",
       "        25.14109421, 25.11426163],\n",
       "       [22.08878708, 22.12885857, 22.16879845, ..., 25.27388382,\n",
       "        25.24715805, 25.2202816 ],\n",
       "       [22.1897316 , 22.22986603, 22.26986694, ..., 25.37998581,\n",
       "        25.35321617, 25.32629204],\n",
       "       ...,\n",
       "       [60.05553436, 60.13088608, 60.20613861, ..., 66.63852692,\n",
       "        66.57692719, 66.5151062 ],\n",
       "       [60.1297493 , 60.20521164, 60.28057861, ..., 66.72632599,\n",
       "        66.66455078, 66.60256195],\n",
       "       [60.20376205, 60.27933884, 60.35482025, ..., 66.81394196,\n",
       "        66.7519989 , 66.68983459]])</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'>-10.06 -9.964 ... 64.76 64.96</div><input id='attrs-eb2c3e22-4efc-4f3f-9476-92e8cd237c0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb2c3e22-4efc-4f3f-9476-92e8cd237c0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8c1be8e-faee-4941-85b1-8b44a3a7be42' class='xr-var-data-in' type='checkbox'><label for='data-e8c1be8e-faee-4941-85b1-8b44a3a7be42' 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><dt><span>bounds :</span></dt><dd>lon_vertices</dd></dl></div><div class='xr-var-data'><pre>array([[-10.06387901,  -9.96388626,  -9.86380386, ...,  36.19872665,\n",
       "         36.30631256,  36.4138298 ],\n",
       "       [-10.11099529, -10.0108614 ,  -9.9106369 , ...,  36.23077774,\n",
       "         36.33853912,  36.44623184],\n",
       "       [-10.15817928, -10.05790424,  -9.9575386 , ...,  36.26288223,\n",
       "         36.37082291,  36.4786911 ],\n",
       "       ...,\n",
       "       [-44.26744461, -44.12877274, -43.98957062, ...,  64.21746063,\n",
       "         64.42305756,  64.62774658],\n",
       "       [-44.43028641, -44.29178238, -44.15274429, ...,  64.3848877 ,\n",
       "         64.59063721,  64.79547119],\n",
       "       [-44.59386444, -44.45552826, -44.31666183, ...,  64.55349731,\n",
       "         64.75939941,  64.96437836]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0</div><input id='attrs-b37e2d01-ae51-4560-8394-deb1cecd348f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b37e2d01-ae51-4560-8394-deb1cecd348f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05dec524-8a76-41c1-afde-889122d926a8' class='xr-var-data-in' type='checkbox'><label for='data-05dec524-8a76-41c1-afde-889122d926a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d41682bd-fb59-4b9c-89cc-b0c512cc85e4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d41682bd-fb59-4b9c-89cc-b0c512cc85e4' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>°C</dd><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>grid_mapping :</span></dt><dd>rotated_pole</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'tas' (time: 0, rlat: 412, rlon: 424)>\n",
       "array([], shape=(0, 412, 424), dtype=float64)\n",
       "Coordinates:\n",
       "  * time     (time) object \n",
       "  * rlon     (rlon) float64 -28.38 -28.26 -28.16 -28.05 ... 17.93 18.05 18.16\n",
       "  * rlat     (rlat) float64 -23.38 -23.26 -23.16 -23.05 ... 21.61 21.73 21.83\n",
       "    lat      (rlat, rlon) float64 21.99 22.03 22.07 22.11 ... 66.81 66.75 66.69\n",
       "    lon      (rlat, rlon) float64 -10.06 -9.964 -9.864 ... 64.55 64.76 64.96\n",
       "    height   float64 10.0\n",
       "Attributes:\n",
       "    standard_name:  air_temperature\n",
       "    long_name:      Near-Surface Air Temperature\n",
       "    units:          °C\n",
       "    cell_methods:   time: point\n",
       "    grid_mapping:   rotated_pole"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "utci_ins"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f11ab18c-de6d-4a69-a424-d45790e90c34",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
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       "  stroke: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;time&#x27; (time: 0)&gt;\n",
       "array([], dtype=object)\n",
       "Coordinates:\n",
       "  * time     (time) object \n",
       "    height   float64 10.0\n",
       "Attributes:\n",
       "    standard_name:  time\n",
       "    long_name:      time\n",
       "    axis:           T</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 0</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9e60f998-e9b9-4f53-9857-7af650abd28f' class='xr-array-in' type='checkbox' checked><label for='section-9e60f998-e9b9-4f53-9857-7af650abd28f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span></span></div><div class='xr-array-data'><pre>array([], dtype=object)</pre></div></div></li><li class='xr-section-item'><input id='section-bd0a5082-5619-4849-ad2b-e7c5653b346f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bd0a5082-5619-4849-ad2b-e7c5653b346f' 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'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'></div><input id='attrs-179e2bf8-6e6e-4329-b04b-b8d4d6688224' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-179e2bf8-6e6e-4329-b04b-b8d4d6688224' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-659a5664-7dd5-4432-8bd2-925c0cf469b8' class='xr-var-data-in' type='checkbox'><label for='data-659a5664-7dd5-4432-8bd2-925c0cf469b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0</div><input id='attrs-bb09498f-ad9e-4c80-a68e-fb5556efd8b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb09498f-ad9e-4c80-a68e-fb5556efd8b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0549bc94-0b51-4bf1-a7e6-810a197ce01c' class='xr-var-data-in' type='checkbox'><label for='data-0549bc94-0b51-4bf1-a7e6-810a197ce01c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9d9b77cb-c0c5-43a7-8730-9447f500a8ca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9d9b77cb-c0c5-43a7-8730-9447f500a8ca' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'time' (time: 0)>\n",
       "array([], dtype=object)\n",
       "Coordinates:\n",
       "  * time     (time) object \n",
       "    height   float64 10.0\n",
       "Attributes:\n",
       "    standard_name:  time\n",
       "    long_name:      time\n",
       "    axis:           T"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "utci_sun.time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c8bf0ad7-0b3f-4d0d-a70f-db72602c210a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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