bd_pr_eraintrim.ipynb

{
 "cells": [
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   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#writing some conda package or module\n",
    "#!pip install netCDF4\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#!pip install cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "from cartopy.util import add_cyclic_point\n",
    "import os\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#writing my file directory(path...don't copy paste instead write the path by your own)\n",
    "#my_example_nc_file = '/scratch/mkibria/data/EIN75/pr/v20190502/pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc\n",
    "#fh = Dataset(my_example_nc_file) #defining my file's dataset.please notice the capital leters or small leters used in it.\n",
    "#print(fh)\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 347, y: 337, x: 429, bnds: 2)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1979-01-16T12:00:00 ... 2017-11-16\n",
       "    lat        (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "    lon        (y, x) float64 27.41 27.61 27.81 28.01 ... 126.1 126.3 126.6\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 0.0001351 0.0001187 ... 7.185e-06 8.965e-06\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1979-01-01 1979-02-01 ... 2017-12-01\n",
       "Attributes: (12/163)\n",
       "    project_id:                                      CORDEX\n",
       "    ipcc_scenario_code:                              EVALUATION\n",
       "    institute_id:                                    ICTP\n",
       "    note:                                            The domain is larger tha...\n",
       "    comment:                                         RegCM CORDEX India25 run\n",
       "    experiment:                                      WAS-22\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    Conventions:                                     CF-1.7</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-b559e2b8-f15b-4d7d-889a-9da75d9079eb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b559e2b8-f15b-4d7d-889a-9da75d9079eb' 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>: 347</li><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li><li><span>bnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-45614128-bfbd-4838-940d-c02a0e7aeb6c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-45614128-bfbd-4838-940d-c02a0e7aeb6c' 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'>1979-01-16T12:00:00 ... 2017-11-16</div><input id='attrs-3bb027cd-0900-4869-800c-ec549f91a10e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bb027cd-0900-4869-800c-ec549f91a10e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c82b6af9-5bcb-4f38-be18-b73c73234893' class='xr-var-data-in' type='checkbox'><label for='data-c82b6af9-5bcb-4f38-be18-b73c73234893' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-01-16T12:00:00.000000000&#x27;, &#x27;1979-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-03-16T12:00:00.000000000&#x27;, ..., &#x27;2017-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-16T12:00:00.000000000&#x27;, &#x27;2017-11-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-26.13 -26.1 -26.06 ... 43.33 43.28</div><input id='attrs-6e08a115-625f-4882-9ea3-1a8c9bedd087' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e08a115-625f-4882-9ea3-1a8c9bedd087' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc4b38a9-0502-4d67-baae-8b7c6503ed06' class='xr-var-data-in' type='checkbox'><label for='data-bc4b38a9-0502-4d67-baae-8b7c6503ed06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude on Cross Points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[-26.13249207, -26.09832954, -26.06430054, ..., -26.06430054,\n",
       "        -26.09832954, -26.13249207],\n",
       "       [-25.95201492, -25.91782761, -25.8837738 , ..., -25.8837738 ,\n",
       "        -25.91782761, -25.95201492],\n",
       "       [-25.77111816, -25.73690796, -25.70282745, ..., -25.70282745,\n",
       "        -25.73690796, -25.77111816],\n",
       "       ...,\n",
       "       [ 42.92568588,  42.96778107,  43.00975418, ...,  43.00975418,\n",
       "         42.96778107,  42.92568588],\n",
       "       [ 43.10490417,  43.14702606,  43.18902969, ...,  43.18902969,\n",
       "         43.14702606,  43.10490417],\n",
       "       [ 43.28368759,  43.32584   ,  43.36787033, ...,  43.36787033,\n",
       "         43.32584   ,  43.28368759]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>27.41 27.61 27.81 ... 126.3 126.6</div><input id='attrs-ca468585-9c8e-40f7-a2d1-bf833d1a6ffd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca468585-9c8e-40f7-a2d1-bf833d1a6ffd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a227e250-df55-42e2-9ec5-eb16a821882a' class='xr-var-data-in' type='checkbox'><label for='data-a227e250-df55-42e2-9ec5-eb16a821882a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude on Cross Points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[ 27.40869904,  27.609478  ,  27.81022453, ..., 112.18977356,\n",
       "        112.39052582, 112.59130096],\n",
       "       [ 27.37059021,  27.57152557,  27.77243042, ..., 112.22756958,\n",
       "        112.42847443, 112.62940979],\n",
       "       [ 27.33251381,  27.53360558,  27.73466492, ..., 112.26533508,\n",
       "        112.46639252, 112.6674881 ],\n",
       "       ...,\n",
       "       [ 13.53821182,  13.78336334,  14.02872181, ..., 125.97127533,\n",
       "        126.21663666, 126.46178436],\n",
       "       [ 13.48053932,  13.72581577,  13.97129917, ..., 126.02870178,\n",
       "        126.27418518, 126.51946259],\n",
       "       [ 13.42265987,  13.6680603 ,  13.91366959, ..., 126.0863266 ,\n",
       "        126.3319397 , 126.57733917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-dce9b71f-68b7-4705-a48c-18434325bb5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dce9b71f-68b7-4705-a48c-18434325bb5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4415a9ee-aa53-4a15-bb0c-ce7448dfd9a5' class='xr-var-data-in' type='checkbox'><label for='data-4415a9ee-aa53-4a15-bb0c-ce7448dfd9a5' 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>x-coordinate in Cartesian system</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-b518439f-318d-48c8-a852-8903de175270' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b518439f-318d-48c8-a852-8903de175270' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-969a72da-9d84-4133-adba-5e4b636e692f' class='xr-var-data-in' type='checkbox'><label for='data-969a72da-9d84-4133-adba-5e4b636e692f' 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>y-coordinate in Cartesian system</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-891d27aa-ac0c-4f0c-bd7e-373d7ae2c530' class='xr-section-summary-in' type='checkbox'  checked><label for='section-891d27aa-ac0c-4f0c-bd7e-373d7ae2c530' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>b&#x27;&#x27;</div><input id='attrs-20938f05-7571-437a-83b6-162e7c86720e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20938f05-7571-437a-83b6-162e7c86720e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f1a1e82-eedd-4218-8693-f03e0015e112' class='xr-var-data-in' type='checkbox'><label for='data-3f1a1e82-eedd-4218-8693-f03e0015e112' 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>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0001351 0.0001187 ... 8.965e-06</div><input id='attrs-0c095f03-8771-43d8-89ed-3a35b3205be0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c095f03-8771-43d8-89ed-3a35b3205be0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-caf3e0fd-e02e-415e-9154-205b83e5ee74' class='xr-var-data-in' type='checkbox'><label for='data-caf3e0fd-e02e-415e-9154-205b83e5ee74' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[1.35121882e-04, 1.18725788e-04, 1.15491297e-04, ...,\n",
       "         0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
       "        [1.27409483e-04, 1.01921360e-04, 1.09523680e-04, ...,\n",
       "         0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
       "        [1.39602504e-04, 1.16718802e-04, 9.65311119e-05, ...,\n",
       "         0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
       "        ...,\n",
       "        [8.51098303e-05, 5.22105911e-05, 5.94947596e-05, ...,\n",
       "         3.95903868e-07, 3.89496506e-07, 4.13846095e-07],\n",
       "        [8.35267492e-05, 4.78855181e-05, 6.63753526e-05, ...,\n",
       "         5.85006376e-07, 4.48357440e-07, 5.36802361e-07],\n",
       "        [7.89719707e-05, 5.56734012e-05, 8.52833473e-05, ...,\n",
       "         4.19060115e-07, 5.10202426e-07, 5.64600271e-07]],\n",
       "\n",
       "       [[1.51532266e-04, 1.26914645e-04, 1.18088028e-04, ...,\n",
       "         0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
       "        [1.38747142e-04, 1.09760651e-04, 1.06939013e-04, ...,\n",
       "         0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
       "        [1.44517166e-04, 1.14747258e-04, 9.33419869e-05, ...,\n",
       "         0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
       "...\n",
       "        [6.42010718e-06, 9.54748975e-06, 1.30634871e-05, ...,\n",
       "         5.35275740e-06, 4.06538084e-06, 4.95883296e-06],\n",
       "        [9.75199964e-06, 1.09173197e-05, 1.21931107e-05, ...,\n",
       "         6.42695159e-06, 4.84465772e-06, 4.91723131e-06],\n",
       "        [1.50979076e-05, 1.37907946e-05, 8.87988153e-06, ...,\n",
       "         4.77191134e-06, 4.59632838e-06, 4.56635644e-06]],\n",
       "\n",
       "       [[7.32795961e-05, 6.33458621e-05, 6.08845257e-05, ...,\n",
       "         1.31618094e-06, 1.63931873e-06, 2.48893161e-06],\n",
       "        [7.52092747e-05, 3.90217647e-05, 3.22040250e-05, ...,\n",
       "         2.25837496e-07, 6.67916822e-07, 1.50293408e-06],\n",
       "        [4.19779026e-05, 3.15584875e-05, 2.95303744e-05, ...,\n",
       "         3.19722346e-07, 3.23105667e-07, 1.21627215e-06],\n",
       "        ...,\n",
       "        [6.61960294e-05, 2.90388434e-05, 4.63358047e-05, ...,\n",
       "         4.14275974e-06, 5.42648831e-06, 8.33413742e-06],\n",
       "        [6.61104204e-05, 2.86837167e-05, 5.29837125e-05, ...,\n",
       "         4.66637130e-06, 5.97856706e-06, 8.08869208e-06],\n",
       "        [2.58664240e-05, 2.91616998e-05, 6.39548089e-05, ...,\n",
       "         5.02950070e-06, 7.18456658e-06, 8.96485835e-06]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2017-12-01</div><input id='attrs-ee076223-0600-4555-9983-0862eff184d3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee076223-0600-4555-9983-0862eff184d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aef337d-49d2-483b-8b41-ce1f4f1d71fc' class='xr-var-data-in' type='checkbox'><label for='data-9aef337d-49d2-483b-8b41-ce1f4f1d71fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-02-01T00:00:00.000000000&#x27;, &#x27;1979-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-03-01T00:00:00.000000000&#x27;, &#x27;1979-04-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-04-01T00:00:00.000000000&#x27;, &#x27;1979-05-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-05-01T00:00:00.000000000&#x27;, &#x27;1979-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-06-01T00:00:00.000000000&#x27;, &#x27;1979-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-07-01T00:00:00.000000000&#x27;, &#x27;1979-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-08-01T00:00:00.000000000&#x27;, &#x27;1979-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-09-01T00:00:00.000000000&#x27;, &#x27;1979-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-10-01T00:00:00.000000000&#x27;, &#x27;1979-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-11-01T00:00:00.000000000&#x27;, &#x27;1979-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-12-01T00:00:00.000000000&#x27;, &#x27;1980-01-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-01-01T00:00:00.000000000&#x27;, &#x27;1980-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-02-01T00:00:00.000000000&#x27;, &#x27;1980-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-03-01T00:00:00.000000000&#x27;, &#x27;1980-04-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-04-01T00:00:00.000000000&#x27;, &#x27;1980-05-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-05-01T00:00:00.000000000&#x27;, &#x27;1980-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-06-01T00:00:00.000000000&#x27;, &#x27;1980-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-07-01T00:00:00.000000000&#x27;, &#x27;1980-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-08-01T00:00:00.000000000&#x27;, &#x27;1980-09-01T00:00:00.000000000&#x27;],\n",
       "...\n",
       "       [&#x27;2016-05-01T00:00:00.000000000&#x27;, &#x27;2016-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2016-06-01T00:00:00.000000000&#x27;, &#x27;2016-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2016-07-01T00:00:00.000000000&#x27;, &#x27;2016-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2016-08-01T00:00:00.000000000&#x27;, &#x27;2016-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2016-09-01T00:00:00.000000000&#x27;, &#x27;2016-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2016-10-01T00:00:00.000000000&#x27;, &#x27;2016-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2016-11-01T00:00:00.000000000&#x27;, &#x27;2016-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2016-12-01T00:00:00.000000000&#x27;, &#x27;2017-01-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-01-01T00:00:00.000000000&#x27;, &#x27;2017-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-02-01T00:00:00.000000000&#x27;, &#x27;2017-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-03-01T00:00:00.000000000&#x27;, &#x27;2017-04-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-04-01T00:00:00.000000000&#x27;, &#x27;2017-05-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-05-01T00:00:00.000000000&#x27;, &#x27;2017-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-06-01T00:00:00.000000000&#x27;, &#x27;2017-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-07-01T00:00:00.000000000&#x27;, &#x27;2017-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-08-01T00:00:00.000000000&#x27;, &#x27;2017-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-09-01T00:00:00.000000000&#x27;, &#x27;2017-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-10-01T00:00:00.000000000&#x27;, &#x27;2017-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-11-01T00:00:00.000000000&#x27;, &#x27;2017-12-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-546396c2-75b1-47ce-ae0d-c848dfe565c4' class='xr-section-summary-in' type='checkbox'  ><label for='section-546396c2-75b1-47ce-ae0d-c848dfe565c4' class='xr-section-summary' >Attributes: <span>(163)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>EVALUATION</dd><dt><span>institute_id :</span></dt><dd>ICTP</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX India25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T15:13:03Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>none</dd><dt><span>contact :</span></dt><dd>esp@ictp.it</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>f1ed9934-3b9a-11e9-8719-0894ef50c218</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>history :</span></dt><dd>2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>EIN75</dd><dt><span>model_sst_data_source :</span></dt><dd>EIN75</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2016-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>evaluation</dd><dt><span>driving_experiment :</span></dt><dd>ECMWF-ERAINT, evaluation, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>ECMWF-ERAINT</dd><dt><span>driving_experiment_name :</span></dt><dd>evaluation</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 347, y: 337, x: 429, bnds: 2)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1979-01-16T12:00:00 ... 2017-11-16\n",
       "    lat        (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "    lon        (y, x) float64 27.41 27.61 27.81 28.01 ... 126.1 126.3 126.6\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    crs        |S1 b''\n",
       "    pr         (time, y, x) float32 0.0001351 0.0001187 ... 7.185e-06 8.965e-06\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1979-01-01 1979-02-01 ... 2017-12-01\n",
       "Attributes: (12/163)\n",
       "    project_id:                                      CORDEX\n",
       "    ipcc_scenario_code:                              EVALUATION\n",
       "    institute_id:                                    ICTP\n",
       "    note:                                            The domain is larger tha...\n",
       "    comment:                                         RegCM CORDEX India25 run\n",
       "    experiment:                                      WAS-22\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    Conventions:                                     CF-1.7"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds1 = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/Era_intrim/pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc')\n",
    "ds2 = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/Era_intrim/pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc')\n",
    "ds3 = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/Era_intrim/pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc')\n",
    "ds4 = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/Era_intrim/pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc')\n",
    "\n",
    "\n",
    "data = xr.merge([ds1,ds2,ds3,ds4])\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data.variables "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#for var in data.variables.values():\n",
    " #   print(var)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 311, y: 337, x: 429, bnds: 2)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2015-11-16\n",
       "    lat        (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "    lon        (y, x) float64 27.41 27.61 27.81 28.01 ... 126.1 126.3 126.6\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 0.0001357 0.0001198 ... 1.013e-05 1.051e-05\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-01-01 1980-02-01 ... 2015-12-01\n",
       "Attributes: (12/163)\n",
       "    project_id:                                      CORDEX\n",
       "    ipcc_scenario_code:                              EVALUATION\n",
       "    institute_id:                                    ICTP\n",
       "    note:                                            The domain is larger tha...\n",
       "    comment:                                         RegCM CORDEX India25 run\n",
       "    experiment:                                      WAS-22\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    Conventions:                                     CF-1.7</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-77aebcc1-fa3e-451b-9bf1-dd41241d7ce9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-77aebcc1-fa3e-451b-9bf1-dd41241d7ce9' 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>: 311</li><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li><li><span>bnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-271cf0d1-4987-47d2-8900-a14099a044ad' class='xr-section-summary-in' type='checkbox'  checked><label for='section-271cf0d1-4987-47d2-8900-a14099a044ad' 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'>1980-01-16T12:00:00 ... 2015-11-16</div><input id='attrs-6a179cef-0e52-4b77-9ac3-d5ae50d71850' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a179cef-0e52-4b77-9ac3-d5ae50d71850' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1607461f-9dc3-40fe-9637-2d452e618468' class='xr-var-data-in' type='checkbox'><label for='data-1607461f-9dc3-40fe-9637-2d452e618468' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1980-01-16T12:00:00.000000000&#x27;, &#x27;1980-02-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;1980-03-16T12:00:00.000000000&#x27;, ..., &#x27;2015-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-10-16T12:00:00.000000000&#x27;, &#x27;2015-11-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-26.13 -26.1 -26.06 ... 43.33 43.28</div><input id='attrs-82be7e1d-afea-427c-b52c-e4f4f884bd3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82be7e1d-afea-427c-b52c-e4f4f884bd3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e0e656d-2ec4-4569-9a78-58a3889293af' class='xr-var-data-in' type='checkbox'><label for='data-2e0e656d-2ec4-4569-9a78-58a3889293af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude on Cross Points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[-26.13249207, -26.09832954, -26.06430054, ..., -26.06430054,\n",
       "        -26.09832954, -26.13249207],\n",
       "       [-25.95201492, -25.91782761, -25.8837738 , ..., -25.8837738 ,\n",
       "        -25.91782761, -25.95201492],\n",
       "       [-25.77111816, -25.73690796, -25.70282745, ..., -25.70282745,\n",
       "        -25.73690796, -25.77111816],\n",
       "       ...,\n",
       "       [ 42.92568588,  42.96778107,  43.00975418, ...,  43.00975418,\n",
       "         42.96778107,  42.92568588],\n",
       "       [ 43.10490417,  43.14702606,  43.18902969, ...,  43.18902969,\n",
       "         43.14702606,  43.10490417],\n",
       "       [ 43.28368759,  43.32584   ,  43.36787033, ...,  43.36787033,\n",
       "         43.32584   ,  43.28368759]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>27.41 27.61 27.81 ... 126.3 126.6</div><input id='attrs-8caab0aa-d0a4-488d-a9c1-93f92534e291' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8caab0aa-d0a4-488d-a9c1-93f92534e291' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaa16bbb-5db4-4bfd-9783-74a4bce0f29f' class='xr-var-data-in' type='checkbox'><label for='data-aaa16bbb-5db4-4bfd-9783-74a4bce0f29f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude on Cross Points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[ 27.40869904,  27.609478  ,  27.81022453, ..., 112.18977356,\n",
       "        112.39052582, 112.59130096],\n",
       "       [ 27.37059021,  27.57152557,  27.77243042, ..., 112.22756958,\n",
       "        112.42847443, 112.62940979],\n",
       "       [ 27.33251381,  27.53360558,  27.73466492, ..., 112.26533508,\n",
       "        112.46639252, 112.6674881 ],\n",
       "       ...,\n",
       "       [ 13.53821182,  13.78336334,  14.02872181, ..., 125.97127533,\n",
       "        126.21663666, 126.46178436],\n",
       "       [ 13.48053932,  13.72581577,  13.97129917, ..., 126.02870178,\n",
       "        126.27418518, 126.51946259],\n",
       "       [ 13.42265987,  13.6680603 ,  13.91366959, ..., 126.0863266 ,\n",
       "        126.3319397 , 126.57733917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-2ed327ca-12b4-42c8-a39f-8da4c273802d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ed327ca-12b4-42c8-a39f-8da4c273802d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc72143e-77a7-40e8-a9ec-3ed019129452' class='xr-var-data-in' type='checkbox'><label for='data-bc72143e-77a7-40e8-a9ec-3ed019129452' 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>x-coordinate in Cartesian system</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-0dc9cf60-ffe1-4bee-b502-59d0af1ae4e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dc9cf60-ffe1-4bee-b502-59d0af1ae4e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3441709d-0a52-46c3-ba13-38a7268aaace' class='xr-var-data-in' type='checkbox'><label for='data-3441709d-0a52-46c3-ba13-38a7268aaace' 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>y-coordinate in Cartesian system</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ecdd2d65-731a-4b18-b39a-29608ea63be1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ecdd2d65-731a-4b18-b39a-29608ea63be1' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>b&#x27;&#x27;</div><input id='attrs-800cfd73-ba2f-442f-8c9d-bb553274e37d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-800cfd73-ba2f-442f-8c9d-bb553274e37d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90fca2b9-0d14-4b93-b74b-455495ad7804' class='xr-var-data-in' type='checkbox'><label for='data-90fca2b9-0d14-4b93-b74b-455495ad7804' 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>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0001357 0.0001198 ... 1.051e-05</div><input id='attrs-a6b05a2f-8b99-4357-9b7c-49ca8589fdd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6b05a2f-8b99-4357-9b7c-49ca8589fdd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e01c9ea9-5193-4a72-b172-2e8a9448f418' class='xr-var-data-in' type='checkbox'><label for='data-e01c9ea9-5193-4a72-b172-2e8a9448f418' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[1.35658411e-04, 1.19833428e-04, 1.16116265e-04, ...,\n",
       "         1.84638310e-07, 6.78056153e-07, 1.58080195e-06],\n",
       "        [1.36903662e-04, 1.12468144e-04, 1.13184004e-04, ...,\n",
       "         2.81225727e-08, 3.02770303e-07, 1.14042336e-06],\n",
       "        [1.52597218e-04, 1.15914314e-04, 1.00799145e-04, ...,\n",
       "         1.53653335e-09, 6.50210836e-08, 6.03358671e-07],\n",
       "        ...,\n",
       "        [8.84632536e-05, 9.46368018e-05, 1.03462502e-04, ...,\n",
       "         1.15488967e-06, 1.26436919e-06, 1.30082515e-06],\n",
       "        [1.02172460e-04, 9.91582128e-05, 1.18954064e-04, ...,\n",
       "         1.20539539e-06, 1.25623239e-06, 1.20923153e-06],\n",
       "        [1.03019287e-04, 1.03247541e-04, 1.09442139e-04, ...,\n",
       "         1.02329045e-06, 1.13669012e-06, 1.21199128e-06]],\n",
       "\n",
       "       [[1.28579995e-04, 1.14306116e-04, 1.05386986e-04, ...,\n",
       "         4.62561184e-06, 3.52345705e-06, 1.75949663e-06],\n",
       "        [1.20507480e-04, 1.01097437e-04, 9.60479229e-05, ...,\n",
       "         2.36973233e-06, 1.36712993e-06, 3.96481198e-07],\n",
       "        [1.25954131e-04, 1.04566781e-04, 8.62336528e-05, ...,\n",
       "         1.38745997e-06, 6.93563891e-07, 2.77450681e-07],\n",
       "...\n",
       "        [6.89201552e-05, 5.16519140e-05, 9.53018389e-05, ...,\n",
       "         7.14835505e-06, 8.97428254e-06, 1.39535823e-05],\n",
       "        [7.47354279e-05, 5.28240525e-05, 1.09655892e-04, ...,\n",
       "         7.43508326e-06, 8.95256107e-06, 1.30427534e-05],\n",
       "        [8.87710630e-05, 6.82297832e-05, 1.24010388e-04, ...,\n",
       "         8.68325424e-06, 9.03656291e-06, 1.33302556e-05]],\n",
       "\n",
       "       [[2.46358377e-05, 2.10044491e-05, 2.33276351e-05, ...,\n",
       "         4.17264937e-06, 3.03088359e-06, 2.71741987e-06],\n",
       "        [1.98687940e-05, 1.58900166e-05, 1.65166093e-05, ...,\n",
       "         2.66683378e-06, 1.96158408e-06, 1.78221092e-06],\n",
       "        [1.38633850e-05, 1.13988044e-05, 1.15709445e-05, ...,\n",
       "         2.09658174e-06, 1.46291006e-06, 1.50261405e-06],\n",
       "        ...,\n",
       "        [2.07049015e-05, 1.10743777e-05, 1.41749742e-05, ...,\n",
       "         6.80870289e-06, 7.40585028e-06, 1.00365987e-05],\n",
       "        [1.77425354e-05, 1.23629352e-05, 1.39910208e-05, ...,\n",
       "         8.31829129e-06, 8.19629986e-06, 9.10631388e-06],\n",
       "        [1.33139047e-05, 1.29611544e-05, 9.94444235e-06, ...,\n",
       "         1.01314545e-05, 1.01339210e-05, 1.05058043e-05]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-01-01 ... 2015-12-01</div><input id='attrs-3e90f3ee-1592-419a-9f3f-e5edf8deed8d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e90f3ee-1592-419a-9f3f-e5edf8deed8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e328e95c-aed4-4e87-9a80-bb7c78fcfbb5' class='xr-var-data-in' type='checkbox'><label for='data-e328e95c-aed4-4e87-9a80-bb7c78fcfbb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;1980-01-01T00:00:00.000000000&#x27;, &#x27;1980-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-02-01T00:00:00.000000000&#x27;, &#x27;1980-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-03-01T00:00:00.000000000&#x27;, &#x27;1980-04-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-04-01T00:00:00.000000000&#x27;, &#x27;1980-05-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-05-01T00:00:00.000000000&#x27;, &#x27;1980-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-06-01T00:00:00.000000000&#x27;, &#x27;1980-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-07-01T00:00:00.000000000&#x27;, &#x27;1980-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-08-01T00:00:00.000000000&#x27;, &#x27;1980-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-09-01T00:00:00.000000000&#x27;, &#x27;1980-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-10-01T00:00:00.000000000&#x27;, &#x27;1980-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-11-01T00:00:00.000000000&#x27;, &#x27;1980-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-12-01T00:00:00.000000000&#x27;, &#x27;1981-01-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1981-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-02-01T00:00:00.000000000&#x27;, &#x27;1981-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-03-01T00:00:00.000000000&#x27;, &#x27;1981-04-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-04-01T00:00:00.000000000&#x27;, &#x27;1981-05-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-05-01T00:00:00.000000000&#x27;, &#x27;1981-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-07-01T00:00:00.000000000&#x27;, &#x27;1981-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;],\n",
       "...\n",
       "       [&#x27;2014-05-01T00:00:00.000000000&#x27;, &#x27;2014-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2014-06-01T00:00:00.000000000&#x27;, &#x27;2014-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2014-07-01T00:00:00.000000000&#x27;, &#x27;2014-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2014-08-01T00:00:00.000000000&#x27;, &#x27;2014-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2014-09-01T00:00:00.000000000&#x27;, &#x27;2014-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2014-10-01T00:00:00.000000000&#x27;, &#x27;2014-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2014-11-01T00:00:00.000000000&#x27;, &#x27;2014-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2014-12-01T00:00:00.000000000&#x27;, &#x27;2015-01-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-01-01T00:00:00.000000000&#x27;, &#x27;2015-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-02-01T00:00:00.000000000&#x27;, &#x27;2015-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-03-01T00:00:00.000000000&#x27;, &#x27;2015-04-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-04-01T00:00:00.000000000&#x27;, &#x27;2015-05-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-05-01T00:00:00.000000000&#x27;, &#x27;2015-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-06-01T00:00:00.000000000&#x27;, &#x27;2015-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-07-01T00:00:00.000000000&#x27;, &#x27;2015-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-08-01T00:00:00.000000000&#x27;, &#x27;2015-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-09-01T00:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-10-01T00:00:00.000000000&#x27;, &#x27;2015-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-11-01T00:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-11038f67-002f-44b8-9171-8799692fa313' class='xr-section-summary-in' type='checkbox'  ><label for='section-11038f67-002f-44b8-9171-8799692fa313' class='xr-section-summary' >Attributes: <span>(163)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>EVALUATION</dd><dt><span>institute_id :</span></dt><dd>ICTP</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX India25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T15:13:03Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>none</dd><dt><span>contact :</span></dt><dd>esp@ictp.it</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>f1ed9934-3b9a-11e9-8719-0894ef50c218</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>history :</span></dt><dd>2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>EIN75</dd><dt><span>model_sst_data_source :</span></dt><dd>EIN75</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2016-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>evaluation</dd><dt><span>driving_experiment :</span></dt><dd>ECMWF-ERAINT, evaluation, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>ECMWF-ERAINT</dd><dt><span>driving_experiment_name :</span></dt><dd>evaluation</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 311, y: 337, x: 429, bnds: 2)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2015-11-16\n",
       "    lat        (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "    lon        (y, x) float64 27.41 27.61 27.81 28.01 ... 126.1 126.3 126.6\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    crs        |S1 b''\n",
       "    pr         (time, y, x) float32 0.0001357 0.0001198 ... 1.013e-05 1.051e-05\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-01-01 1980-02-01 ... 2015-12-01\n",
       "Attributes: (12/163)\n",
       "    project_id:                                      CORDEX\n",
       "    ipcc_scenario_code:                              EVALUATION\n",
       "    institute_id:                                    ICTP\n",
       "    note:                                            The domain is larger tha...\n",
       "    comment:                                         RegCM CORDEX India25 run\n",
       "    experiment:                                      WAS-22\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    Conventions:                                     CF-1.7"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1980-01-16T12:00:00.000000000','2015-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 104, y: 337, x: 429, bnds: 2)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2015-09-16\n",
       "    lat        (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "    lon        (y, x) float64 27.41 27.61 27.81 28.01 ... 126.1 126.3 126.6\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 2.938e-07 1.874e-07 ... 5.099e-05 6.797e-05\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-06-01 1980-07-01 ... 2015-10-01\n",
       "Attributes: (12/163)\n",
       "    project_id:                                      CORDEX\n",
       "    ipcc_scenario_code:                              EVALUATION\n",
       "    institute_id:                                    ICTP\n",
       "    note:                                            The domain is larger tha...\n",
       "    comment:                                         RegCM CORDEX India25 run\n",
       "    experiment:                                      WAS-22\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    Conventions:                                     CF-1.7</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-7525846d-5404-43ff-a51a-5de28683d114' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7525846d-5404-43ff-a51a-5de28683d114' 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>: 104</li><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li><li><span>bnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1c4e9191-05f1-468a-aeb4-257fedb102cd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1c4e9191-05f1-468a-aeb4-257fedb102cd' 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'>1980-06-16 ... 2015-09-16</div><input id='attrs-29f10ffa-011a-44f9-a182-469afded124c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29f10ffa-011a-44f9-a182-469afded124c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb7174af-3c57-4160-9874-7f67af3a907a' class='xr-var-data-in' type='checkbox'><label for='data-fb7174af-3c57-4160-9874-7f67af3a907a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1980-06-16T00:00:00.000000000&#x27;, &#x27;1980-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1980-08-16T12:00:00.000000000&#x27;, &#x27;1980-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T12:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T12:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-16T00:00:00.000000000&#x27;, &#x27;2013-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-16T12:00:00.000000000&#x27;, &#x27;2013-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-06-16T00:00:00.000000000&#x27;, &#x27;2014-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2014-08-16T12:00:00.000000000&#x27;, &#x27;2014-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-06-16T00:00:00.000000000&#x27;, &#x27;2015-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-16T12:00:00.000000000&#x27;, &#x27;2015-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-26.13 -26.1 -26.06 ... 43.33 43.28</div><input id='attrs-38185ebf-f24a-422a-a189-78c11a42a5b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38185ebf-f24a-422a-a189-78c11a42a5b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63eee02b-c967-432a-85eb-d9690c4762b5' class='xr-var-data-in' type='checkbox'><label for='data-63eee02b-c967-432a-85eb-d9690c4762b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude on Cross Points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[-26.13249207, -26.09832954, -26.06430054, ..., -26.06430054,\n",
       "        -26.09832954, -26.13249207],\n",
       "       [-25.95201492, -25.91782761, -25.8837738 , ..., -25.8837738 ,\n",
       "        -25.91782761, -25.95201492],\n",
       "       [-25.77111816, -25.73690796, -25.70282745, ..., -25.70282745,\n",
       "        -25.73690796, -25.77111816],\n",
       "       ...,\n",
       "       [ 42.92568588,  42.96778107,  43.00975418, ...,  43.00975418,\n",
       "         42.96778107,  42.92568588],\n",
       "       [ 43.10490417,  43.14702606,  43.18902969, ...,  43.18902969,\n",
       "         43.14702606,  43.10490417],\n",
       "       [ 43.28368759,  43.32584   ,  43.36787033, ...,  43.36787033,\n",
       "         43.32584   ,  43.28368759]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>27.41 27.61 27.81 ... 126.3 126.6</div><input id='attrs-5a4af362-9629-4d2f-a500-151d71799b49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a4af362-9629-4d2f-a500-151d71799b49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f227772-2b1a-4e26-a94a-cc837dd98572' class='xr-var-data-in' type='checkbox'><label for='data-3f227772-2b1a-4e26-a94a-cc837dd98572' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude on Cross Points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[ 27.40869904,  27.609478  ,  27.81022453, ..., 112.18977356,\n",
       "        112.39052582, 112.59130096],\n",
       "       [ 27.37059021,  27.57152557,  27.77243042, ..., 112.22756958,\n",
       "        112.42847443, 112.62940979],\n",
       "       [ 27.33251381,  27.53360558,  27.73466492, ..., 112.26533508,\n",
       "        112.46639252, 112.6674881 ],\n",
       "       ...,\n",
       "       [ 13.53821182,  13.78336334,  14.02872181, ..., 125.97127533,\n",
       "        126.21663666, 126.46178436],\n",
       "       [ 13.48053932,  13.72581577,  13.97129917, ..., 126.02870178,\n",
       "        126.27418518, 126.51946259],\n",
       "       [ 13.42265987,  13.6680603 ,  13.91366959, ..., 126.0863266 ,\n",
       "        126.3319397 , 126.57733917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-c3f135bf-cf9b-421a-8470-5d8fed9ab01d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3f135bf-cf9b-421a-8470-5d8fed9ab01d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20f5300f-2036-4d4e-af74-edc23e81c877' class='xr-var-data-in' type='checkbox'><label for='data-20f5300f-2036-4d4e-af74-edc23e81c877' 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>x-coordinate in Cartesian system</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-ceb4e499-ac41-4d0f-9349-0cd4784533ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ceb4e499-ac41-4d0f-9349-0cd4784533ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91520997-26ef-498c-a6e0-be77b6dd467e' class='xr-var-data-in' type='checkbox'><label for='data-91520997-26ef-498c-a6e0-be77b6dd467e' 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>y-coordinate in Cartesian system</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0702f7f8-5aa7-4c15-b8ed-9e712ef98d56' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0702f7f8-5aa7-4c15-b8ed-9e712ef98d56' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>b&#x27;&#x27;</div><input id='attrs-fb7aa6b0-4cd8-4b0b-a5bd-e6bd53c6bd98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb7aa6b0-4cd8-4b0b-a5bd-e6bd53c6bd98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92af6fd4-55e2-4b62-996f-9a730a844773' class='xr-var-data-in' type='checkbox'><label for='data-92af6fd4-55e2-4b62-996f-9a730a844773' 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>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.938e-07 1.874e-07 ... 6.797e-05</div><input id='attrs-7bedd46e-3cb1-4f34-8ca1-a7083dad22e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bedd46e-3cb1-4f34-8ca1-a7083dad22e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75feef7d-c331-4ff2-906d-a41109276167' class='xr-var-data-in' type='checkbox'><label for='data-75feef7d-c331-4ff2-906d-a41109276167' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[2.93815020e-07, 1.87399891e-07, 3.30881619e-07, ...,\n",
       "         2.76037208e-05, 3.14320823e-05, 3.38773607e-05],\n",
       "        [4.89503122e-07, 2.05261117e-07, 2.36119092e-07, ...,\n",
       "         1.91537874e-05, 2.01459334e-05, 2.67956657e-05],\n",
       "        [2.72090318e-07, 2.84309692e-07, 3.33083022e-07, ...,\n",
       "         1.63851491e-05, 1.99227652e-05, 2.32890761e-05],\n",
       "        ...,\n",
       "        [6.44390020e-05, 2.28540794e-05, 1.71008651e-05, ...,\n",
       "         5.73617690e-05, 7.18461451e-05, 1.11044297e-04],\n",
       "        [6.53924435e-05, 2.41066555e-05, 1.96768597e-05, ...,\n",
       "         5.67385068e-05, 6.43826788e-05, 1.09815141e-04],\n",
       "        [6.57256169e-05, 2.44215662e-05, 2.01584135e-05, ...,\n",
       "         6.80748271e-05, 7.46170335e-05, 1.13138813e-04]],\n",
       "\n",
       "       [[0.00000000e+00, 0.00000000e+00, 2.74747816e-08, ...,\n",
       "         2.84478028e-05, 2.78752796e-05, 2.93646917e-05],\n",
       "        [7.76302311e-09, 4.13505070e-08, 7.93778838e-08, ...,\n",
       "         2.18661553e-05, 2.31293634e-05, 2.86775703e-05],\n",
       "        [1.47237330e-07, 2.65992554e-07, 3.09791091e-07, ...,\n",
       "         1.88729919e-05, 2.13235598e-05, 2.85815695e-05],\n",
       "...\n",
       "        [6.95969939e-05, 7.59350223e-05, 3.32290801e-05, ...,\n",
       "         1.16832241e-04, 1.41041644e-04, 2.15478794e-04],\n",
       "        [1.19277749e-04, 8.37416665e-05, 3.84024352e-05, ...,\n",
       "         1.23500169e-04, 1.43732352e-04, 2.14096654e-04],\n",
       "        [1.67110251e-04, 1.36872302e-04, 5.17878652e-05, ...,\n",
       "         1.50877982e-04, 1.75645066e-04, 2.35949832e-04]],\n",
       "\n",
       "       [[2.88295087e-05, 2.12943323e-05, 1.92946391e-05, ...,\n",
       "         0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
       "        [2.80710792e-05, 2.48582401e-05, 2.06596633e-05, ...,\n",
       "         0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
       "        [3.37533456e-05, 2.52748505e-05, 1.98831149e-05, ...,\n",
       "         0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
       "        ...,\n",
       "        [4.33407658e-05, 3.23117929e-05, 3.10102514e-05, ...,\n",
       "         3.16880105e-05, 4.00379431e-05, 7.19779273e-05],\n",
       "        [5.38761160e-05, 3.39377802e-05, 4.19630596e-05, ...,\n",
       "         3.31116062e-05, 3.74401352e-05, 6.56109114e-05],\n",
       "        [5.38045533e-05, 4.64052573e-05, 5.19563691e-05, ...,\n",
       "         3.99033852e-05, 5.09913589e-05, 6.79712466e-05]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-06-01 ... 2015-10-01</div><input id='attrs-6fc5d33d-7955-46cd-9e92-6be9e7c83944' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6fc5d33d-7955-46cd-9e92-6be9e7c83944' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc6abe24-58c0-4441-aef4-5b573081f161' class='xr-var-data-in' type='checkbox'><label for='data-fc6abe24-58c0-4441-aef4-5b573081f161' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;1980-06-01T00:00:00.000000000&#x27;, &#x27;1980-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-07-01T00:00:00.000000000&#x27;, &#x27;1980-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-08-01T00:00:00.000000000&#x27;, &#x27;1980-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1980-09-01T00:00:00.000000000&#x27;, &#x27;1980-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-07-01T00:00:00.000000000&#x27;, &#x27;1981-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-09-01T00:00:00.000000000&#x27;, &#x27;1981-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-06-01T00:00:00.000000000&#x27;, &#x27;1982-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-07-01T00:00:00.000000000&#x27;, &#x27;1982-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-08-01T00:00:00.000000000&#x27;, &#x27;1982-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-09-01T00:00:00.000000000&#x27;, &#x27;1982-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-06-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-07-01T00:00:00.000000000&#x27;, &#x27;1983-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-08-01T00:00:00.000000000&#x27;, &#x27;1983-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-09-01T00:00:00.000000000&#x27;, &#x27;1983-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-06-01T00:00:00.000000000&#x27;, &#x27;1984-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-07-01T00:00:00.000000000&#x27;, &#x27;1984-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-08-01T00:00:00.000000000&#x27;, &#x27;1984-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-09-01T00:00:00.000000000&#x27;, &#x27;1984-10-01T00:00:00.000000000&#x27;],\n",
       "...\n",
       "       [&#x27;2011-07-01T00:00:00.000000000&#x27;, &#x27;2011-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2011-08-01T00:00:00.000000000&#x27;, &#x27;2011-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2011-09-01T00:00:00.000000000&#x27;, &#x27;2011-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2012-06-01T00:00:00.000000000&#x27;, &#x27;2012-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2012-07-01T00:00:00.000000000&#x27;, &#x27;2012-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2012-08-01T00:00:00.000000000&#x27;, &#x27;2012-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2012-09-01T00:00:00.000000000&#x27;, &#x27;2012-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2013-06-01T00:00:00.000000000&#x27;, &#x27;2013-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2013-07-01T00:00:00.000000000&#x27;, &#x27;2013-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2013-08-01T00:00:00.000000000&#x27;, &#x27;2013-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2013-09-01T00:00:00.000000000&#x27;, &#x27;2013-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2014-06-01T00:00:00.000000000&#x27;, &#x27;2014-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2014-07-01T00:00:00.000000000&#x27;, &#x27;2014-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2014-08-01T00:00:00.000000000&#x27;, &#x27;2014-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2014-09-01T00:00:00.000000000&#x27;, &#x27;2014-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-06-01T00:00:00.000000000&#x27;, &#x27;2015-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-07-01T00:00:00.000000000&#x27;, &#x27;2015-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-08-01T00:00:00.000000000&#x27;, &#x27;2015-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-09-01T00:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0efa962f-7c4c-4943-a6f1-45bec00d635f' class='xr-section-summary-in' type='checkbox'  ><label for='section-0efa962f-7c4c-4943-a6f1-45bec00d635f' class='xr-section-summary' >Attributes: <span>(163)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>EVALUATION</dd><dt><span>institute_id :</span></dt><dd>ICTP</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX India25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T15:13:03Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>none</dd><dt><span>contact :</span></dt><dd>esp@ictp.it</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>f1ed9934-3b9a-11e9-8719-0894ef50c218</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>history :</span></dt><dd>2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>EIN75</dd><dt><span>model_sst_data_source :</span></dt><dd>EIN75</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2016-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>evaluation</dd><dt><span>driving_experiment :</span></dt><dd>ECMWF-ERAINT, evaluation, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>ECMWF-ERAINT</dd><dt><span>driving_experiment_name :</span></dt><dd>evaluation</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 104, y: 337, x: 429, bnds: 2)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2015-09-16\n",
       "    lat        (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "    lon        (y, x) float64 27.41 27.61 27.81 28.01 ... 126.1 126.3 126.6\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    crs        |S1 b''\n",
       "    pr         (time, y, x) float32 2.938e-07 1.874e-07 ... 5.099e-05 6.797e-05\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1980-06-01 1980-07-01 ... 2015-10-01\n",
       "Attributes: (12/163)\n",
       "    project_id:                                      CORDEX\n",
       "    ipcc_scenario_code:                              EVALUATION\n",
       "    institute_id:                                    ICTP\n",
       "    note:                                            The domain is larger tha...\n",
       "    comment:                                         RegCM CORDEX India25 run\n",
       "    experiment:                                      WAS-22\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    Conventions:                                     CF-1.7"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data[\"pr\"][\"x\"][379:429].values\n",
    "#data[\"pr\"][\"y\"][237:337].values\n",
    "#data[\"pr\"][\"time\"].values\n",
    "#jjas_data[\"pr\"][\"lat\"][:].values\n",
    "\n",
    "#jjas_data[\"pr\"][\"lon\"][:].values\n",
    "\n",
    "\n",
    "#data[\"pr\"][\"x\"].values\n",
    "\n",
    "#data.x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data[\"pr\"][\"y\"][287:337].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(x=slice(4125000.,5350000.),y=slice(2975000.,4200000.))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
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       "  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;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[9.14451539e-06, 8.41396650e-06, 8.44882561e-06, ...,\n",
       "        1.83427619e-05, 1.84346609e-05, 1.98054804e-05],\n",
       "       [9.00379018e-06, 7.67915117e-06, 7.57163389e-06, ...,\n",
       "        1.40538468e-05, 1.43833640e-05, 1.77034108e-05],\n",
       "       [8.58770909e-06, 7.00299324e-06, 6.23392634e-06, ...,\n",
       "        1.20466193e-05, 1.34147931e-05, 1.69528575e-05],\n",
       "       ...,\n",
       "       [3.62160936e-05, 3.12137927e-05, 2.76698338e-05, ...,\n",
       "        9.38525845e-05, 1.15291783e-04, 1.80235045e-04],\n",
       "       [4.72922511e-05, 3.53035211e-05, 3.15991019e-05, ...,\n",
       "        1.00055491e-04, 1.10289126e-04, 1.66862286e-04],\n",
       "       [5.40441870e-05, 4.33200257e-05, 3.67193315e-05, ...,\n",
       "        1.21016048e-04, 1.27115374e-04, 1.64337325e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "    lat      (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "    lon      (y, x) float64 27.41 27.61 27.81 28.01 ... 125.8 126.1 126.3 126.6\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</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'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f6a7ee79-d4b6-488c-ab29-656bdf92a16b' class='xr-array-in' type='checkbox' checked><label for='section-f6a7ee79-d4b6-488c-ab29-656bdf92a16b' 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>9.145e-06 8.414e-06 8.449e-06 ... 0.000121 0.0001271 0.0001643</span></div><div class='xr-array-data'><pre>array([[9.14451539e-06, 8.41396650e-06, 8.44882561e-06, ...,\n",
       "        1.83427619e-05, 1.84346609e-05, 1.98054804e-05],\n",
       "       [9.00379018e-06, 7.67915117e-06, 7.57163389e-06, ...,\n",
       "        1.40538468e-05, 1.43833640e-05, 1.77034108e-05],\n",
       "       [8.58770909e-06, 7.00299324e-06, 6.23392634e-06, ...,\n",
       "        1.20466193e-05, 1.34147931e-05, 1.69528575e-05],\n",
       "       ...,\n",
       "       [3.62160936e-05, 3.12137927e-05, 2.76698338e-05, ...,\n",
       "        9.38525845e-05, 1.15291783e-04, 1.80235045e-04],\n",
       "       [4.72922511e-05, 3.53035211e-05, 3.15991019e-05, ...,\n",
       "        1.00055491e-04, 1.10289126e-04, 1.66862286e-04],\n",
       "       [5.40441870e-05, 4.33200257e-05, 3.67193315e-05, ...,\n",
       "        1.21016048e-04, 1.27115374e-04, 1.64337325e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-f40010fc-0485-4cdb-8475-36875b592e68' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f40010fc-0485-4cdb-8475-36875b592e68' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-26.13 -26.1 -26.06 ... 43.33 43.28</div><input id='attrs-a03938e4-d758-47c4-b70f-8cefedf0d13e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a03938e4-d758-47c4-b70f-8cefedf0d13e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac1284dd-d599-4a22-a7b3-a8d4da4d5ab7' class='xr-var-data-in' type='checkbox'><label for='data-ac1284dd-d599-4a22-a7b3-a8d4da4d5ab7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude on Cross Points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[-26.13249207, -26.09832954, -26.06430054, ..., -26.06430054,\n",
       "        -26.09832954, -26.13249207],\n",
       "       [-25.95201492, -25.91782761, -25.8837738 , ..., -25.8837738 ,\n",
       "        -25.91782761, -25.95201492],\n",
       "       [-25.77111816, -25.73690796, -25.70282745, ..., -25.70282745,\n",
       "        -25.73690796, -25.77111816],\n",
       "       ...,\n",
       "       [ 42.92568588,  42.96778107,  43.00975418, ...,  43.00975418,\n",
       "         42.96778107,  42.92568588],\n",
       "       [ 43.10490417,  43.14702606,  43.18902969, ...,  43.18902969,\n",
       "         43.14702606,  43.10490417],\n",
       "       [ 43.28368759,  43.32584   ,  43.36787033, ...,  43.36787033,\n",
       "         43.32584   ,  43.28368759]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>27.41 27.61 27.81 ... 126.3 126.6</div><input id='attrs-45698eb7-a6bf-49b0-8d71-0d6546af8397' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45698eb7-a6bf-49b0-8d71-0d6546af8397' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67709fa8-6ef1-4a42-acd3-a8d690ee7e12' class='xr-var-data-in' type='checkbox'><label for='data-67709fa8-6ef1-4a42-acd3-a8d690ee7e12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude on Cross Points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[ 27.40869904,  27.609478  ,  27.81022453, ..., 112.18977356,\n",
       "        112.39052582, 112.59130096],\n",
       "       [ 27.37059021,  27.57152557,  27.77243042, ..., 112.22756958,\n",
       "        112.42847443, 112.62940979],\n",
       "       [ 27.33251381,  27.53360558,  27.73466492, ..., 112.26533508,\n",
       "        112.46639252, 112.6674881 ],\n",
       "       ...,\n",
       "       [ 13.53821182,  13.78336334,  14.02872181, ..., 125.97127533,\n",
       "        126.21663666, 126.46178436],\n",
       "       [ 13.48053932,  13.72581577,  13.97129917, ..., 126.02870178,\n",
       "        126.27418518, 126.51946259],\n",
       "       [ 13.42265987,  13.6680603 ,  13.91366959, ..., 126.0863266 ,\n",
       "        126.3319397 , 126.57733917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-ba582057-0576-4f0a-88e4-9a17f97fff22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba582057-0576-4f0a-88e4-9a17f97fff22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7f2c707-21f7-4b14-8d57-cdeb9732d2fb' class='xr-var-data-in' type='checkbox'><label for='data-c7f2c707-21f7-4b14-8d57-cdeb9732d2fb' 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>x-coordinate in Cartesian system</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-c8f9912b-6fcb-470e-a898-cfb5a09a38cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8f9912b-6fcb-470e-a898-cfb5a09a38cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9816e36-ec38-461d-8ed3-e0e620a84f74' class='xr-var-data-in' type='checkbox'><label for='data-a9816e36-ec38-461d-8ed3-e0e620a84f74' 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>y-coordinate in Cartesian system</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-35c8df51-bf75-40e3-83fc-5006a9858cf2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-35c8df51-bf75-40e3-83fc-5006a9858cf2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (y: 337, x: 429)>\n",
       "array([[9.14451539e-06, 8.41396650e-06, 8.44882561e-06, ...,\n",
       "        1.83427619e-05, 1.84346609e-05, 1.98054804e-05],\n",
       "       [9.00379018e-06, 7.67915117e-06, 7.57163389e-06, ...,\n",
       "        1.40538468e-05, 1.43833640e-05, 1.77034108e-05],\n",
       "       [8.58770909e-06, 7.00299324e-06, 6.23392634e-06, ...,\n",
       "        1.20466193e-05, 1.34147931e-05, 1.69528575e-05],\n",
       "       ...,\n",
       "       [3.62160936e-05, 3.12137927e-05, 2.76698338e-05, ...,\n",
       "        9.38525845e-05, 1.15291783e-04, 1.80235045e-04],\n",
       "       [4.72922511e-05, 3.53035211e-05, 3.15991019e-05, ...,\n",
       "        1.00055491e-04, 1.10289126e-04, 1.66862286e-04],\n",
       "       [5.40441870e-05, 4.33200257e-05, 3.67193315e-05, ...,\n",
       "        1.21016048e-04, 1.27115374e-04, 1.64337325e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "    lat      (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "    lon      (y, x) float64 27.41 27.61 27.81 28.01 ... 125.8 126.1 126.3 126.6\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.pr.mean('time')\n",
    " \n",
    "jjas_mean "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The pr is given in kg m $^{-2}$  s $^{-1}$ so we have to convert it into mm/day.\n",
    "\n",
    "The formula is 1 kgm$^{-2}$ s$^{-1}$  = 86400 mm/day. \n",
    "\n",
    "so we have to divide pr value by 86400\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[ 0.79008613,  0.72696671,  0.72997853, ...,  1.58481463,\n",
       "         1.5927547 ,  1.71119351],\n",
       "       [ 0.77792747,  0.66347866,  0.65418917, ...,  1.21425237,\n",
       "         1.24272265,  1.52957469],\n",
       "       [ 0.74197807,  0.60505862,  0.53861124, ...,  1.04082791,\n",
       "         1.15903812,  1.46472689],\n",
       "       ...,\n",
       "       [ 3.12907049,  2.69687169,  2.39067364, ...,  8.1088633 ,\n",
       "         9.96121005, 15.57230791],\n",
       "       [ 4.0860505 ,  3.05022423,  2.73016241, ...,  8.64479444,\n",
       "         9.52898045, 14.41690153],\n",
       "       [ 4.66941776,  3.74285022,  3.17255025, ..., 10.45578655,\n",
       "        10.98276833, 14.1987449 ]])\n",
       "Coordinates:\n",
       "    lat      (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "    lon      (y, x) float64 27.41 27.61 27.81 28.01 ... 125.8 126.1 126.3 126.6\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</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'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4305d598-3fe4-4bd7-a8d7-70d524575ecb' class='xr-array-in' type='checkbox' checked><label for='section-4305d598-3fe4-4bd7-a8d7-70d524575ecb' 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>0.7901 0.727 0.73 0.78 0.7887 0.7379 ... 8.954 9.96 10.46 10.98 14.2</span></div><div class='xr-array-data'><pre>array([[ 0.79008613,  0.72696671,  0.72997853, ...,  1.58481463,\n",
       "         1.5927547 ,  1.71119351],\n",
       "       [ 0.77792747,  0.66347866,  0.65418917, ...,  1.21425237,\n",
       "         1.24272265,  1.52957469],\n",
       "       [ 0.74197807,  0.60505862,  0.53861124, ...,  1.04082791,\n",
       "         1.15903812,  1.46472689],\n",
       "       ...,\n",
       "       [ 3.12907049,  2.69687169,  2.39067364, ...,  8.1088633 ,\n",
       "         9.96121005, 15.57230791],\n",
       "       [ 4.0860505 ,  3.05022423,  2.73016241, ...,  8.64479444,\n",
       "         9.52898045, 14.41690153],\n",
       "       [ 4.66941776,  3.74285022,  3.17255025, ..., 10.45578655,\n",
       "        10.98276833, 14.1987449 ]])</pre></div></div></li><li class='xr-section-item'><input id='section-ed9f695e-b4a3-48e5-bde7-27eb6179f47c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ed9f695e-b4a3-48e5-bde7-27eb6179f47c' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-26.13 -26.1 -26.06 ... 43.33 43.28</div><input id='attrs-670c88d0-9c46-48ac-9ed3-b5415c881c2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-670c88d0-9c46-48ac-9ed3-b5415c881c2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-237e5bb8-9787-490a-b86d-4a1d6626f246' class='xr-var-data-in' type='checkbox'><label for='data-237e5bb8-9787-490a-b86d-4a1d6626f246' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude on Cross Points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[-26.13249207, -26.09832954, -26.06430054, ..., -26.06430054,\n",
       "        -26.09832954, -26.13249207],\n",
       "       [-25.95201492, -25.91782761, -25.8837738 , ..., -25.8837738 ,\n",
       "        -25.91782761, -25.95201492],\n",
       "       [-25.77111816, -25.73690796, -25.70282745, ..., -25.70282745,\n",
       "        -25.73690796, -25.77111816],\n",
       "       ...,\n",
       "       [ 42.92568588,  42.96778107,  43.00975418, ...,  43.00975418,\n",
       "         42.96778107,  42.92568588],\n",
       "       [ 43.10490417,  43.14702606,  43.18902969, ...,  43.18902969,\n",
       "         43.14702606,  43.10490417],\n",
       "       [ 43.28368759,  43.32584   ,  43.36787033, ...,  43.36787033,\n",
       "         43.32584   ,  43.28368759]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>27.41 27.61 27.81 ... 126.3 126.6</div><input id='attrs-479914ad-e601-48b4-a357-b35085833ef2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-479914ad-e601-48b4-a357-b35085833ef2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0222634c-33a2-4d0f-94da-389cfe52f628' class='xr-var-data-in' type='checkbox'><label for='data-0222634c-33a2-4d0f-94da-389cfe52f628' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude on Cross Points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[ 27.40869904,  27.609478  ,  27.81022453, ..., 112.18977356,\n",
       "        112.39052582, 112.59130096],\n",
       "       [ 27.37059021,  27.57152557,  27.77243042, ..., 112.22756958,\n",
       "        112.42847443, 112.62940979],\n",
       "       [ 27.33251381,  27.53360558,  27.73466492, ..., 112.26533508,\n",
       "        112.46639252, 112.6674881 ],\n",
       "       ...,\n",
       "       [ 13.53821182,  13.78336334,  14.02872181, ..., 125.97127533,\n",
       "        126.21663666, 126.46178436],\n",
       "       [ 13.48053932,  13.72581577,  13.97129917, ..., 126.02870178,\n",
       "        126.27418518, 126.51946259],\n",
       "       [ 13.42265987,  13.6680603 ,  13.91366959, ..., 126.0863266 ,\n",
       "        126.3319397 , 126.57733917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-53b7afba-d7e5-4538-8ad8-50e8f4748bde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53b7afba-d7e5-4538-8ad8-50e8f4748bde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5194f7db-9adf-4d7d-b385-47091cbd5e85' class='xr-var-data-in' type='checkbox'><label for='data-5194f7db-9adf-4d7d-b385-47091cbd5e85' 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>x-coordinate in Cartesian system</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-faf1ae04-da60-43de-a157-a58ce005837b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-faf1ae04-da60-43de-a157-a58ce005837b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5850e30-a064-497c-9177-602d07843e00' class='xr-var-data-in' type='checkbox'><label for='data-d5850e30-a064-497c-9177-602d07843e00' 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>y-coordinate in Cartesian system</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce5386ba-b8c1-40be-a74f-810ce4b12618' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ce5386ba-b8c1-40be-a74f-810ce4b12618' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (y: 337, x: 429)>\n",
       "array([[ 0.79008613,  0.72696671,  0.72997853, ...,  1.58481463,\n",
       "         1.5927547 ,  1.71119351],\n",
       "       [ 0.77792747,  0.66347866,  0.65418917, ...,  1.21425237,\n",
       "         1.24272265,  1.52957469],\n",
       "       [ 0.74197807,  0.60505862,  0.53861124, ...,  1.04082791,\n",
       "         1.15903812,  1.46472689],\n",
       "       ...,\n",
       "       [ 3.12907049,  2.69687169,  2.39067364, ...,  8.1088633 ,\n",
       "         9.96121005, 15.57230791],\n",
       "       [ 4.0860505 ,  3.05022423,  2.73016241, ...,  8.64479444,\n",
       "         9.52898045, 14.41690153],\n",
       "       [ 4.66941776,  3.74285022,  3.17255025, ..., 10.45578655,\n",
       "        10.98276833, 14.1987449 ]])\n",
       "Coordinates:\n",
       "    lat      (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "    lon      (y, x) float64 27.41 27.61 27.81 28.01 ... 125.8 126.1 126.3 126.6\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_mm = jjas_mean*86400\n",
    "pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting with cartopy jjas_pr_mean\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    " \n",
    "m1 = ax.contourf(pr_mm['lon'][:], pr_mm['lat'][:],pr_mm,\n",
    "                 levels=np.arange(1,35+1,5),transform = ccrs.PlateCarree(),cmap='YlGnBu',extend='both')\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "plt.colorbar(m1, orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'rain_rate mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "#ax.add_feature(cfeature.STATES)\n",
    "#ax.add_feature(cfeature.LAND)\n",
    "#ax.add_feature(cfeature.LAKES)\n",
    "#ax.add_feature(cfeature.OCEAN)\n",
    "#ax.add_feature(cfeature.RIVERS)\n",
    "\n",
    "\n",
    "\n",
    "plt.title('RegCM(Eraint) Mean jjas precip')\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_eraintrin_jjas_mean.png\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now I will plot the annual precipitation rate in mm/day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
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       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[5.4161756e-05, 4.9084447e-05, 4.8255144e-05, ..., 1.0167437e-05,\n",
       "        1.0016305e-05, 1.0678718e-05],\n",
       "       [5.2053361e-05, 4.3426902e-05, 4.3355616e-05, ..., 7.8081302e-06,\n",
       "        7.7864015e-06, 9.5405576e-06],\n",
       "       [5.4671265e-05, 4.4377957e-05, 3.8774742e-05, ..., 6.6238213e-06,\n",
       "        7.2535263e-06, 9.2299288e-06],\n",
       "       ...,\n",
       "       [4.7432350e-05, 3.7998987e-05, 3.2038013e-05, ..., 3.6578447e-05,\n",
       "        4.4482298e-05, 6.7620844e-05],\n",
       "       [5.3989406e-05, 3.9693434e-05, 3.5856956e-05, ..., 3.9114337e-05,\n",
       "        4.3010346e-05, 6.3377382e-05],\n",
       "       [5.5924502e-05, 4.5031979e-05, 3.9389637e-05, ..., 4.6627083e-05,\n",
       "        4.9225680e-05, 6.2891348e-05]], dtype=float32)\n",
       "Coordinates:\n",
       "    lat      (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "    lon      (y, x) float64 27.41 27.61 27.81 28.01 ... 125.8 126.1 126.3 126.6\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</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'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-24c20032-df67-4c9d-a360-b0e20c1959e0' class='xr-array-in' type='checkbox' checked><label for='section-24c20032-df67-4c9d-a360-b0e20c1959e0' 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>5.416e-05 4.908e-05 4.826e-05 ... 4.663e-05 4.923e-05 6.289e-05</span></div><div class='xr-array-data'><pre>array([[5.4161756e-05, 4.9084447e-05, 4.8255144e-05, ..., 1.0167437e-05,\n",
       "        1.0016305e-05, 1.0678718e-05],\n",
       "       [5.2053361e-05, 4.3426902e-05, 4.3355616e-05, ..., 7.8081302e-06,\n",
       "        7.7864015e-06, 9.5405576e-06],\n",
       "       [5.4671265e-05, 4.4377957e-05, 3.8774742e-05, ..., 6.6238213e-06,\n",
       "        7.2535263e-06, 9.2299288e-06],\n",
       "       ...,\n",
       "       [4.7432350e-05, 3.7998987e-05, 3.2038013e-05, ..., 3.6578447e-05,\n",
       "        4.4482298e-05, 6.7620844e-05],\n",
       "       [5.3989406e-05, 3.9693434e-05, 3.5856956e-05, ..., 3.9114337e-05,\n",
       "        4.3010346e-05, 6.3377382e-05],\n",
       "       [5.5924502e-05, 4.5031979e-05, 3.9389637e-05, ..., 4.6627083e-05,\n",
       "        4.9225680e-05, 6.2891348e-05]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-fd84ca21-2401-4fb7-93ad-9e899ed8c14d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fd84ca21-2401-4fb7-93ad-9e899ed8c14d' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-26.13 -26.1 -26.06 ... 43.33 43.28</div><input id='attrs-416dfd0d-957e-482f-926b-1109a797468c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-416dfd0d-957e-482f-926b-1109a797468c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12c80a67-97c4-4bce-81b3-ebfb2466b943' class='xr-var-data-in' type='checkbox'><label for='data-12c80a67-97c4-4bce-81b3-ebfb2466b943' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude on Cross Points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[-26.13249207, -26.09832954, -26.06430054, ..., -26.06430054,\n",
       "        -26.09832954, -26.13249207],\n",
       "       [-25.95201492, -25.91782761, -25.8837738 , ..., -25.8837738 ,\n",
       "        -25.91782761, -25.95201492],\n",
       "       [-25.77111816, -25.73690796, -25.70282745, ..., -25.70282745,\n",
       "        -25.73690796, -25.77111816],\n",
       "       ...,\n",
       "       [ 42.92568588,  42.96778107,  43.00975418, ...,  43.00975418,\n",
       "         42.96778107,  42.92568588],\n",
       "       [ 43.10490417,  43.14702606,  43.18902969, ...,  43.18902969,\n",
       "         43.14702606,  43.10490417],\n",
       "       [ 43.28368759,  43.32584   ,  43.36787033, ...,  43.36787033,\n",
       "         43.32584   ,  43.28368759]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>27.41 27.61 27.81 ... 126.3 126.6</div><input id='attrs-668e2bc4-4ed8-456d-8868-7b1c946b244a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-668e2bc4-4ed8-456d-8868-7b1c946b244a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7599ec5b-17d5-4358-bdf4-fe7296b2ff06' class='xr-var-data-in' type='checkbox'><label for='data-7599ec5b-17d5-4358-bdf4-fe7296b2ff06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude on Cross Points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[ 27.40869904,  27.609478  ,  27.81022453, ..., 112.18977356,\n",
       "        112.39052582, 112.59130096],\n",
       "       [ 27.37059021,  27.57152557,  27.77243042, ..., 112.22756958,\n",
       "        112.42847443, 112.62940979],\n",
       "       [ 27.33251381,  27.53360558,  27.73466492, ..., 112.26533508,\n",
       "        112.46639252, 112.6674881 ],\n",
       "       ...,\n",
       "       [ 13.53821182,  13.78336334,  14.02872181, ..., 125.97127533,\n",
       "        126.21663666, 126.46178436],\n",
       "       [ 13.48053932,  13.72581577,  13.97129917, ..., 126.02870178,\n",
       "        126.27418518, 126.51946259],\n",
       "       [ 13.42265987,  13.6680603 ,  13.91366959, ..., 126.0863266 ,\n",
       "        126.3319397 , 126.57733917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-911d6905-1ebf-4500-aeb5-5e5c3826ca81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-911d6905-1ebf-4500-aeb5-5e5c3826ca81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e68c537-92c2-4858-b4c2-813218227d99' class='xr-var-data-in' type='checkbox'><label for='data-8e68c537-92c2-4858-b4c2-813218227d99' 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>x-coordinate in Cartesian system</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-e74a8982-7d09-4d12-8e15-6f05f68da926' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e74a8982-7d09-4d12-8e15-6f05f68da926' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6600f91e-50f3-472d-a1bd-44e9120e119a' class='xr-var-data-in' type='checkbox'><label for='data-6600f91e-50f3-472d-a1bd-44e9120e119a' 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>y-coordinate in Cartesian system</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-78c7991f-60c7-4930-97b2-c1ba2b408e71' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-78c7991f-60c7-4930-97b2-c1ba2b408e71' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (y: 337, x: 429)>\n",
       "array([[5.4161756e-05, 4.9084447e-05, 4.8255144e-05, ..., 1.0167437e-05,\n",
       "        1.0016305e-05, 1.0678718e-05],\n",
       "       [5.2053361e-05, 4.3426902e-05, 4.3355616e-05, ..., 7.8081302e-06,\n",
       "        7.7864015e-06, 9.5405576e-06],\n",
       "       [5.4671265e-05, 4.4377957e-05, 3.8774742e-05, ..., 6.6238213e-06,\n",
       "        7.2535263e-06, 9.2299288e-06],\n",
       "       ...,\n",
       "       [4.7432350e-05, 3.7998987e-05, 3.2038013e-05, ..., 3.6578447e-05,\n",
       "        4.4482298e-05, 6.7620844e-05],\n",
       "       [5.3989406e-05, 3.9693434e-05, 3.5856956e-05, ..., 3.9114337e-05,\n",
       "        4.3010346e-05, 6.3377382e-05],\n",
       "       [5.5924502e-05, 4.5031979e-05, 3.9389637e-05, ..., 4.6627083e-05,\n",
       "        4.9225680e-05, 6.2891348e-05]], dtype=float32)\n",
       "Coordinates:\n",
       "    lat      (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "    lon      (y, x) float64 27.41 27.61 27.81 28.01 ... 125.8 126.1 126.3 126.6\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annual_mean = data.pr.mean('time')\n",
    "annual_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
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       "\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[4.67957568, 4.2408962 , 4.16924445, ..., 0.87846654, 0.86540877,\n",
       "        0.92264127],\n",
       "       [4.49741042, 3.75208436, 3.74592523, ..., 0.67462245, 0.67274509,\n",
       "        0.82430418],\n",
       "       [4.72359733, 3.83425551, 3.35013773, ..., 0.57229816, 0.62670467,\n",
       "        0.79746585],\n",
       "       ...,\n",
       "       [4.09815501, 3.28311247, 2.76808434, ..., 3.16037784, 3.84327056,\n",
       "        5.8424409 ],\n",
       "       [4.6646847 , 3.42951268, 3.09804099, ..., 3.37947869, 3.71609393,\n",
       "        5.47580577],\n",
       "       [4.83187695, 3.89076294, 3.40326465, ..., 4.02857998, 4.25309879,\n",
       "        5.43381243]])\n",
       "Coordinates:\n",
       "    lat      (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "    lon      (y, x) float64 27.41 27.61 27.81 28.01 ... 125.8 126.1 126.3 126.6\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</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'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3302f938-b070-4147-8cbd-c36981851790' class='xr-array-in' type='checkbox' checked><label for='section-3302f938-b070-4147-8cbd-c36981851790' 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>4.68 4.241 4.169 4.21 4.234 4.19 ... 3.405 3.796 4.029 4.253 5.434</span></div><div class='xr-array-data'><pre>array([[4.67957568, 4.2408962 , 4.16924445, ..., 0.87846654, 0.86540877,\n",
       "        0.92264127],\n",
       "       [4.49741042, 3.75208436, 3.74592523, ..., 0.67462245, 0.67274509,\n",
       "        0.82430418],\n",
       "       [4.72359733, 3.83425551, 3.35013773, ..., 0.57229816, 0.62670467,\n",
       "        0.79746585],\n",
       "       ...,\n",
       "       [4.09815501, 3.28311247, 2.76808434, ..., 3.16037784, 3.84327056,\n",
       "        5.8424409 ],\n",
       "       [4.6646847 , 3.42951268, 3.09804099, ..., 3.37947869, 3.71609393,\n",
       "        5.47580577],\n",
       "       [4.83187695, 3.89076294, 3.40326465, ..., 4.02857998, 4.25309879,\n",
       "        5.43381243]])</pre></div></div></li><li class='xr-section-item'><input id='section-09eedc15-aeb6-4af1-a0c8-d4ad2a77b621' class='xr-section-summary-in' type='checkbox'  checked><label for='section-09eedc15-aeb6-4af1-a0c8-d4ad2a77b621' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-26.13 -26.1 -26.06 ... 43.33 43.28</div><input id='attrs-7d2a92b9-a782-487d-a179-f7abb9f8e9d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d2a92b9-a782-487d-a179-f7abb9f8e9d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15e8134f-5e69-4826-a613-439384f381d2' class='xr-var-data-in' type='checkbox'><label for='data-15e8134f-5e69-4826-a613-439384f381d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude on Cross Points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[-26.13249207, -26.09832954, -26.06430054, ..., -26.06430054,\n",
       "        -26.09832954, -26.13249207],\n",
       "       [-25.95201492, -25.91782761, -25.8837738 , ..., -25.8837738 ,\n",
       "        -25.91782761, -25.95201492],\n",
       "       [-25.77111816, -25.73690796, -25.70282745, ..., -25.70282745,\n",
       "        -25.73690796, -25.77111816],\n",
       "       ...,\n",
       "       [ 42.92568588,  42.96778107,  43.00975418, ...,  43.00975418,\n",
       "         42.96778107,  42.92568588],\n",
       "       [ 43.10490417,  43.14702606,  43.18902969, ...,  43.18902969,\n",
       "         43.14702606,  43.10490417],\n",
       "       [ 43.28368759,  43.32584   ,  43.36787033, ...,  43.36787033,\n",
       "         43.32584   ,  43.28368759]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>27.41 27.61 27.81 ... 126.3 126.6</div><input id='attrs-27fd36b9-f343-4607-947f-f30b0985ad15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27fd36b9-f343-4607-947f-f30b0985ad15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51c2642a-6dbb-4d71-9940-7f04d7d4f31a' class='xr-var-data-in' type='checkbox'><label for='data-51c2642a-6dbb-4d71-9940-7f04d7d4f31a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude on Cross Points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[ 27.40869904,  27.609478  ,  27.81022453, ..., 112.18977356,\n",
       "        112.39052582, 112.59130096],\n",
       "       [ 27.37059021,  27.57152557,  27.77243042, ..., 112.22756958,\n",
       "        112.42847443, 112.62940979],\n",
       "       [ 27.33251381,  27.53360558,  27.73466492, ..., 112.26533508,\n",
       "        112.46639252, 112.6674881 ],\n",
       "       ...,\n",
       "       [ 13.53821182,  13.78336334,  14.02872181, ..., 125.97127533,\n",
       "        126.21663666, 126.46178436],\n",
       "       [ 13.48053932,  13.72581577,  13.97129917, ..., 126.02870178,\n",
       "        126.27418518, 126.51946259],\n",
       "       [ 13.42265987,  13.6680603 ,  13.91366959, ..., 126.0863266 ,\n",
       "        126.3319397 , 126.57733917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-0c7b924c-f1cf-4335-8963-b45534c8b577' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c7b924c-f1cf-4335-8963-b45534c8b577' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f9200e4-dba2-46a1-9bad-d5d5ceb37985' class='xr-var-data-in' type='checkbox'><label for='data-5f9200e4-dba2-46a1-9bad-d5d5ceb37985' 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>x-coordinate in Cartesian system</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-e5436201-25a7-43ff-87a6-08ac504d6929' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5436201-25a7-43ff-87a6-08ac504d6929' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-882ce684-43c3-45da-b142-743e9f769b9b' class='xr-var-data-in' type='checkbox'><label for='data-882ce684-43c3-45da-b142-743e9f769b9b' 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>y-coordinate in Cartesian system</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9aa2b6d4-d306-4e11-9fc3-2190f58940c5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9aa2b6d4-d306-4e11-9fc3-2190f58940c5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (y: 337, x: 429)>\n",
       "array([[4.67957568, 4.2408962 , 4.16924445, ..., 0.87846654, 0.86540877,\n",
       "        0.92264127],\n",
       "       [4.49741042, 3.75208436, 3.74592523, ..., 0.67462245, 0.67274509,\n",
       "        0.82430418],\n",
       "       [4.72359733, 3.83425551, 3.35013773, ..., 0.57229816, 0.62670467,\n",
       "        0.79746585],\n",
       "       ...,\n",
       "       [4.09815501, 3.28311247, 2.76808434, ..., 3.16037784, 3.84327056,\n",
       "        5.8424409 ],\n",
       "       [4.6646847 , 3.42951268, 3.09804099, ..., 3.37947869, 3.71609393,\n",
       "        5.47580577],\n",
       "       [4.83187695, 3.89076294, 3.40326465, ..., 4.02857998, 4.25309879,\n",
       "        5.43381243]])\n",
       "Coordinates:\n",
       "    lat      (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "    lon      (y, x) float64 27.41 27.61 27.81 28.01 ... 125.8 126.1 126.3 126.6\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#converting from kgm-2s-2 to mm/day\n",
    "\n",
    "annual_pr_mm = annual_mean*86400\n",
    "annual_pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(annual_pr_mm['lon'], annual_pr_mm['lat'],annual_pr_mm,\n",
    "                 np.arange(1,35+1,5),transform = ccrs.PlateCarree(),cmap='YlGnBu',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1, orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(resolution='110m',linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "#ax.add_feature(cfeature.STATES)\n",
    "#plt.title('RegCM(Eraint) Annual mean precip rate in mm/day',fontweight='bold', fontsize=15)\n",
    "\n",
    "plt.title('RegCM(Eraint) Annual mean precip')\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "#to save and overwrite\n",
    "strFile =\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_eraintrin_annual_mean.png\"\n",
    "\n",
    "if os.path.isfile(strFile):\n",
    "   os.remove(strFile)   # Opt.: os.system(\"rm \"+strFile)\n",
    "plt.savefig(strFile)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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