2023-11-09 mapping KNMI scenarios.ipynb

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    "import xarray\n",
    "import rioxarray as rio\n",
    "\n",
    "# for the visz\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy as cp # of nieuwe cartopy versie, of matplotlib 3.5.2 wanneer cartopy nog op 0.21 zit\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs"
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    "# projection RD\n",
    "crs_rd = cp.crs.Stereographic(central_longitude=5.3876388888, central_latitude=52.15616055555, false_easting=155000, false_northing=463000, scale_factor=0.9999079)\n",
    "\n",
    "# collect country shapefile\n",
    "countries = cfeature.NaturalEarthFeature(\n",
    "    category='cultural',\n",
    "    name='admin_0_countries',\n",
    "    scale='10m',\n",
    "    facecolor='none')"
   ]
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (time: 365, rlat: 101, rlon: 67)\n",
       "Coordinates:\n",
       "  * time          (time) datetime64[ns] 1950-01-01 1950-01-02 ... 1950-12-31\n",
       "    lon           (rlat, rlon) float64 ...\n",
       "    lat           (rlat, rlon) float64 ...\n",
       "  * rlon          (rlon) float64 -1.75 -1.64 -1.53 -1.42 ... 5.18 5.29 5.4 5.51\n",
       "  * rlat          (rlat) float64 -8.7 -8.59 -8.48 -8.37 ... 1.97 2.08 2.19 2.3\n",
       "Data variables:\n",
       "    rotated_pole  int32 ...\n",
       "    precip        (time, rlat, rlon) float32 ...\n",
       "Attributes:\n",
       "    CDI:            Climate Data Interface version 2.0.5 (https://mpimet.mpg....\n",
       "    Conventions:    CF-1.6\n",
       "    history:        Thu May 04 08:45:03 2023: cdo -s -f nc -settunits,days -s...\n",
       "    CDO:            Climate Data Operators version 2.0.5 (https://mpimet.mpg....\n",
       "    obsQuantiles:   /nobackup/users/brinkh/GRADE/extract_from_EOBS/quantiles/...\n",
       "    refQuantiles:   quantiles/quantiles_per_month_RACMO23_hist_1950.nc\n",
       "    probabilities:  quantiles/quantiles_per_month_RACMO23_hist_1950.nc</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fa40be3b-e344-42f7-8441-b9968668e53a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fa40be3b-e344-42f7-8441-b9968668e53a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 365</li><li><span class='xr-has-index'>rlat</span>: 101</li><li><span class='xr-has-index'>rlon</span>: 67</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ecca4c9b-82ef-4ab3-ae8e-a95c3948594c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ecca4c9b-82ef-4ab3-ae8e-a95c3948594c' 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'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1950-01-01 ... 1950-12-31</div><input id='attrs-f3cbf6fe-109d-4546-aeb3-b4bd11cff442' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3cbf6fe-109d-4546-aeb3-b4bd11cff442' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3ae5f39-84de-4159-a6ba-309600cefb71' class='xr-var-data-in' type='checkbox'><label for='data-a3ae5f39-84de-4159-a6ba-309600cefb71' 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>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1950-01-01T00:00:00.000000000&#x27;, &#x27;1950-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;1950-01-03T00:00:00.000000000&#x27;, ..., &#x27;1950-12-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;1950-12-30T00:00:00.000000000&#x27;, &#x27;1950-12-31T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b3cd2910-b739-4ef1-908c-62d6972349a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3cd2910-b739-4ef1-908c-62d6972349a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eceec543-4532-4ea9-9dc7-a3264b195124' class='xr-var-data-in' type='checkbox'><label for='data-eceec543-4532-4ea9-9dc7-a3264b195124' 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>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[6767 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(rlat, rlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7509dba0-96ff-4157-ac3a-bbe33bb85b4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7509dba0-96ff-4157-ac3a-bbe33bb85b4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e574bc6-9c89-4109-bd66-9c25eb3e8a77' class='xr-var-data-in' type='checkbox'><label for='data-1e574bc6-9c89-4109-bd66-9c25eb3e8a77' 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>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[6767 values with dtype=float64]</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'>-1.75 -1.64 -1.53 ... 5.29 5.4 5.51</div><input id='attrs-11230f4a-0fdc-4b6a-a771-a2f6f7f354e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11230f4a-0fdc-4b6a-a771-a2f6f7f354e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2b1cf5f-1567-48bc-bfb4-3a5ea97c3012' class='xr-var-data-in' type='checkbox'><label for='data-b2b1cf5f-1567-48bc-bfb4-3a5ea97c3012' 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>projection_x_coordinate</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([-1.75, -1.64, -1.53, -1.42, -1.31, -1.2 , -1.09, -0.98, -0.87, -0.76,\n",
       "       -0.65, -0.54, -0.43, -0.32, -0.21, -0.1 ,  0.01,  0.12,  0.23,  0.34,\n",
       "        0.45,  0.56,  0.67,  0.78,  0.89,  1.  ,  1.11,  1.22,  1.33,  1.44,\n",
       "        1.55,  1.66,  1.77,  1.88,  1.99,  2.1 ,  2.21,  2.32,  2.43,  2.54,\n",
       "        2.65,  2.76,  2.87,  2.98,  3.09,  3.2 ,  3.31,  3.42,  3.53,  3.64,\n",
       "        3.75,  3.86,  3.97,  4.08,  4.19,  4.3 ,  4.41,  4.52,  4.63,  4.74,\n",
       "        4.85,  4.96,  5.07,  5.18,  5.29,  5.4 ,  5.51])</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'>-8.7 -8.59 -8.48 ... 2.08 2.19 2.3</div><input id='attrs-7ca7ebed-3402-4c03-81ed-3164f881dc5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ca7ebed-3402-4c03-81ed-3164f881dc5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20bfc6bd-501b-491f-b09c-2d198e1e25ec' class='xr-var-data-in' type='checkbox'><label for='data-20bfc6bd-501b-491f-b09c-2d198e1e25ec' 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>projection_y_coordinate</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([-8.7 , -8.59, -8.48, -8.37, -8.26, -8.15, -8.04, -7.93, -7.82, -7.71,\n",
       "       -7.6 , -7.49, -7.38, -7.27, -7.16, -7.05, -6.94, -6.83, -6.72, -6.61,\n",
       "       -6.5 , -6.39, -6.28, -6.17, -6.06, -5.95, -5.84, -5.73, -5.62, -5.51,\n",
       "       -5.4 , -5.29, -5.18, -5.07, -4.96, -4.85, -4.74, -4.63, -4.52, -4.41,\n",
       "       -4.3 , -4.19, -4.08, -3.97, -3.86, -3.75, -3.64, -3.53, -3.42, -3.31,\n",
       "       -3.2 , -3.09, -2.98, -2.87, -2.76, -2.65, -2.54, -2.43, -2.32, -2.21,\n",
       "       -2.1 , -1.99, -1.88, -1.77, -1.66, -1.55, -1.44, -1.33, -1.22, -1.11,\n",
       "       -1.  , -0.89, -0.78, -0.67, -0.56, -0.45, -0.34, -0.23, -0.12, -0.01,\n",
       "        0.1 ,  0.21,  0.32,  0.43,  0.54,  0.65,  0.76,  0.87,  0.98,  1.09,\n",
       "        1.2 ,  1.31,  1.42,  1.53,  1.64,  1.75,  1.86,  1.97,  2.08,  2.19,\n",
       "        2.3 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7de685ae-5989-4518-8d6e-daa64d74c548' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7de685ae-5989-4518-8d6e-daa64d74c548' class='xr-section-summary' >Data variables: <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>rotated_pole</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b5b3455-b518-431c-ab6d-ce317021bb19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b5b3455-b518-431c-ab6d-ce317021bb19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6d35059-8aa6-4616-9a63-a9cf6293a42a' class='xr-var-data-in' type='checkbox'><label for='data-b6d35059-8aa6-4616-9a63-a9cf6293a42a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>rotated_latitude_longitude</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>37.25</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>-174.55</dd><dt><span>proj4_params :</span></dt><dd>-m 57.295779506 +proj=ob_tran +o_proj=latlon +o_lat_p=37.2 +lon_0=5.5</dd><dt><span>proj_parameters :</span></dt><dd>-m 57.295779506 +proj=ob_tran +o_proj=latlon +o_lat_p=37.2 +lon_0=5.5</dd><dt><span>projection_name :</span></dt><dd>rotated_latitude_longitude</dd><dt><span>long_name :</span></dt><dd>projection details</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, rlat, rlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b39d9703-b642-4ab6-9570-5f775916c586' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b39d9703-b642-4ab6-9570-5f775916c586' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6429edf-31df-403b-99d0-44a0accaa710' class='xr-var-data-in' type='checkbox'><label for='data-b6429edf-31df-403b-99d0-44a0accaa710' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>precip</dd><dt><span>grid_mapping :</span></dt><dd>rotated_pole</dd></dl></div><div class='xr-var-data'><pre>[2469955 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cf3043c2-1d9b-4c3f-a1c9-34763128dbbd' class='xr-section-summary-in' type='checkbox'  ><label for='section-cf3043c2-1d9b-4c3f-a1c9-34763128dbbd' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8b3da6f2-fa1a-4b35-af40-fcb9a28a27bd' class='xr-index-data-in' type='checkbox'/><label for='index-8b3da6f2-fa1a-4b35-af40-fcb9a28a27bd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1950-01-01&#x27;, &#x27;1950-01-02&#x27;, &#x27;1950-01-03&#x27;, &#x27;1950-01-04&#x27;,\n",
       "               &#x27;1950-01-05&#x27;, &#x27;1950-01-06&#x27;, &#x27;1950-01-07&#x27;, &#x27;1950-01-08&#x27;,\n",
       "               &#x27;1950-01-09&#x27;, &#x27;1950-01-10&#x27;,\n",
       "               ...\n",
       "               &#x27;1950-12-22&#x27;, &#x27;1950-12-23&#x27;, &#x27;1950-12-24&#x27;, &#x27;1950-12-25&#x27;,\n",
       "               &#x27;1950-12-26&#x27;, &#x27;1950-12-27&#x27;, &#x27;1950-12-28&#x27;, &#x27;1950-12-29&#x27;,\n",
       "               &#x27;1950-12-30&#x27;, &#x27;1950-12-31&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=365, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>rlon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6b62e43d-9f00-4b32-8b57-f79d48a884c5' class='xr-index-data-in' type='checkbox'/><label for='index-6b62e43d-9f00-4b32-8b57-f79d48a884c5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([               -1.75,                -1.64,                -1.53,\n",
       "                             -1.42,                -1.31,                 -1.2,\n",
       "               -1.0899999999999999,                -0.98,                -0.87,\n",
       "                             -0.76,  -0.6499999999999999,                -0.54,\n",
       "              -0.42999999999999994, -0.32000000000000006, -0.20999999999999996,\n",
       "              -0.10000000000000009, 0.010000000000000009,   0.1200000000000001,\n",
       "               0.22999999999999998,  0.33999999999999986,   0.4500000000000002,\n",
       "                              0.56,   0.6699999999999999,   0.7799999999999998,\n",
       "                0.8900000000000001,                  1.0,   1.1099999999999999,\n",
       "                1.2200000000000002,                 1.33,                 1.44,\n",
       "                1.5499999999999998,   1.6600000000000001,                 1.77,\n",
       "                              1.88,   1.9900000000000002,                  2.1,\n",
       "                              2.21,   2.3200000000000003,   2.4299999999999997,\n",
       "                              2.54,   2.6500000000000004,                 2.76,\n",
       "                              2.87,   2.9800000000000004,                 3.09,\n",
       "                               3.2,   3.3099999999999996,                 3.42,\n",
       "                3.5300000000000002,   3.6399999999999997,                 3.75,\n",
       "                3.8600000000000003,   3.9699999999999998,                 4.08,\n",
       "                              4.19,                  4.3,                 4.41,\n",
       "                4.5200000000000005,                 4.63,                 4.74,\n",
       "                              4.85,                 4.96,                 5.07,\n",
       "                              5.18,                 5.29,                  5.4,\n",
       "                              5.51],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;rlon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>rlat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6aa528a8-b6a7-4113-a338-5f7f19e97f5f' class='xr-index-data-in' type='checkbox'/><label for='index-6aa528a8-b6a7-4113-a338-5f7f19e97f5f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([              -8.7,              -8.59, -8.479999999999999,\n",
       "                           -8.37,              -8.26, -8.149999999999999,\n",
       "                           -8.04,              -7.93, -7.819999999999999,\n",
       "              -7.709999999999999,\n",
       "              ...\n",
       "              1.3100000000000005,               1.42, 1.5300000000000011,\n",
       "              1.6400000000000006,               1.75, 1.8600000000000012,\n",
       "              1.9700000000000006,               2.08, 2.1900000000000013,\n",
       "              2.3000000000000007],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;rlat&#x27;, length=101))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7f2c5d98-ef6c-4f33-8332-1991d37d159c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7f2c5d98-ef6c-4f33-8332-1991d37d159c' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 2.0.5 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Thu May 04 08:45:03 2023: cdo -s -f nc -settunits,days -setgrid,RACMOgrid.txt -import_binary ./scratch/precip.KNMI-1950.KEXT12.kR2v3-v578-fECEARTH3-ds23-r10i1p5f1+hist.DD.ctl scratch/tmp.nc</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 2.0.5 (https://mpimet.mpg.de/cdo)</dd><dt><span>obsQuantiles :</span></dt><dd>/nobackup/users/brinkh/GRADE/extract_from_EOBS/quantiles/quantiles_per_month_EOBSv26e_1991-2020_RACMOgrid_misstonn.nc</dd><dt><span>refQuantiles :</span></dt><dd>quantiles/quantiles_per_month_RACMO23_hist_1950.nc</dd><dt><span>probabilities :</span></dt><dd>quantiles/quantiles_per_month_RACMO23_hist_1950.nc</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (time: 365, rlat: 101, rlon: 67)\n",
       "Coordinates:\n",
       "  * time          (time) datetime64[ns] 1950-01-01 1950-01-02 ... 1950-12-31\n",
       "    lon           (rlat, rlon) float64 ...\n",
       "    lat           (rlat, rlon) float64 ...\n",
       "  * rlon          (rlon) float64 -1.75 -1.64 -1.53 -1.42 ... 5.18 5.29 5.4 5.51\n",
       "  * rlat          (rlat) float64 -8.7 -8.59 -8.48 -8.37 ... 1.97 2.08 2.19 2.3\n",
       "Data variables:\n",
       "    rotated_pole  int32 ...\n",
       "    precip        (time, rlat, rlon) float32 ...\n",
       "Attributes:\n",
       "    CDI:            Climate Data Interface version 2.0.5 (https://mpimet.mpg....\n",
       "    Conventions:    CF-1.6\n",
       "    history:        Thu May 04 08:45:03 2023: cdo -s -f nc -settunits,days -s...\n",
       "    CDO:            Climate Data Operators version 2.0.5 (https://mpimet.mpg....\n",
       "    obsQuantiles:   /nobackup/users/brinkh/GRADE/extract_from_EOBS/quantiles/...\n",
       "    refQuantiles:   quantiles/quantiles_per_month_RACMO23_hist_1950.nc\n",
       "    probabilities:  quantiles/quantiles_per_month_RACMO23_hist_1950.nc"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xds_current = xarray.open_dataset('precip.KNMI-1950.nc')\n",
    "xds_current"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e3aa7669-6633-4d1e-a9f5-ca0ae7781864",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f6c2d5a08e0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_single_current = xds_current.precip.sel(time='1950-01-01')\n",
    "my_single_current.plot(x='lon', y='lat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6aa2a14e-88d1-4ade-82b6-521dd97d2d23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1, 1, 1, projection=crs_rd)\n",
    "ax.set_extent([2.9, 7.4, 50.6, 53.7], crs=ccrs.PlateCarree())\n",
    "\n",
    "# ax.gridlines() # can only be in degrees, maybe with cartopy v0.18 more choice\n",
    "ax.add_feature(cfeature.LAND.with_scale('10m'), alpha=0.2)\n",
    "ax.add_feature(cfeature.OCEAN.with_scale('10m'), alpha=0.2)\n",
    "ax.add_feature(countries, edgecolor='gray', linewidth=0.75)\n",
    "ax.coastlines(resolution='10m', color='k', linewidth=1)\n",
    "\n",
    "im = ax.pcolormesh(my_single_current.lon.values, my_single_current.lat.values, my_single_current.values, transform=ccrs.PlateCarree())\n",
    "cb = plt.colorbar(im, fraction=0.0476, pad=0.04, orientation='horizontal')\n",
    "cb.set_label('Precipitation rate [mm/day]')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "92a509bc-b52e-412b-bc6f-550f44ec9bf3",
   "metadata": {},
   "outputs": [],
   "source": [
    "xds_future = xarray.open_dataset('pr_Hn_2150_interp.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7675ecbe-b7a1-48f5-9000-6a44837b32bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7f6cf635b6a0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1300x600 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_facet_future = xds_future.pr.sel(time='2136-01-01')\n",
    "my_facet_future.plot(x='lon', y='lat', col='ens', col_wrap=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cb6acea7-cd0d-488b-af69-9604d3cc0966",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array(2.9), array(7.4), array(50.6), array(53.7))"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_single_future = xds_future.pr.sel(time='2136-01-01', ens=1)\n",
    "my_single_future.lon.min().values, my_single_future.lon.max().values, my_single_future.lat.min().values, my_single_future.lat.max().values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a01a9ef2-2cac-4487-ad29-7785d2f98a24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1, 1, 1, projection=crs_rd)\n",
    "ax.set_extent([2.9, 7.4, 50.6, 53.7], crs=ccrs.PlateCarree())\n",
    "\n",
    "# ax.gridlines() # can only be in degrees, maybe with cartopy v0.18 more choice\n",
    "ax.add_feature(cfeature.LAND.with_scale('10m'), alpha=0.2)\n",
    "ax.add_feature(cfeature.OCEAN.with_scale('10m'), alpha=0.2)\n",
    "ax.add_feature(countries, edgecolor='gray', linewidth=0.75)\n",
    "ax.coastlines(resolution='10m', color='k', linewidth=1)\n",
    "\n",
    "im = ax.pcolormesh(my_single_future.lon.values, my_single_future.lat.values, my_single_future.values, transform=ccrs.PlateCarree())\n",
    "cb = plt.colorbar(im, fraction=0.0476, pad=0.04, orientation='horizontal')\n",
    "cb.set_label('Precipitation rate [mm/day]')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "96d1b2b4-02c7-4114-a6fc-c2536a16cd7b",
   "metadata": {},
   "outputs": [],
   "source": [
    "epsg_4326 = rio.crs.CRS.from_epsg(4326)  # mercator\n",
    "epsg_28992 = rio.crs.CRS.from_epsg(28992)  # rijksdriehoek\n",
    "my_single_future_4326 = my_single_future.rio.write_crs(epsg_4326)\n",
    "my_single_future_28992 = my_single_future_4326.rio.reproject(epsg_28992)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f094b3ad-17f1-4ba1-8d94-dc411514ed1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f6c2226dd90>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_single_future_28992.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "19141766-66cd-4847-a687-93d8bbbd6aeb",
   "metadata": {},
   "outputs": [],
   "source": [
    "crs_rotated = rio.crs.CRS.from_proj4(xds_current.rotated_pole.proj4_params)\n",
    "my_single_current_rotated = my_single_current.rio.write_crs(crs_rotated)\n",
    "# dit werkt niet: ValueError: IndexVariable objects must be 1-dimensional\n",
    "# my_single_current_28992 = my_single_current_rotated.rio.reproject(epsg_28992)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "134c06ed-5af7-4fc8-a150-b1e7e44fd6e4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:stable]",
   "language": "python",
   "name": "conda-env-stable-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}