Seasonal Bias(Eraint-CRU).ipynb

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    "#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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lon: 720, lat: 360, time: 1452)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
       "  * lat      (lat) float32 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
       "  * time     (time) datetime64[ns] 1901-01-16 1901-02-15 ... 2021-12-16\n",
       "Data variables:\n",
       "    pre      (time, lat, lon) float32 ...\n",
       "    stn      (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk</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-33b44ddd-c2e9-412e-a7b4-6cedd1e6d281' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-33b44ddd-c2e9-412e-a7b4-6cedd1e6d281' 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'>lon</span>: 720</li><li><span class='xr-has-index'>lat</span>: 360</li><li><span class='xr-has-index'>time</span>: 1452</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3c1c48ab-5f3b-4897-a455-b755454230e3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3c1c48ab-5f3b-4897-a455-b755454230e3' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-d4039f5b-f760-4878-a07f-7249ce698355' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4039f5b-f760-4878-a07f-7249ce698355' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3009897a-9b0c-4dd9-8c56-2deec3e6a00f' class='xr-var-data-in' type='checkbox'><label for='data-3009897a-9b0c-4dd9-8c56-2deec3e6a00f' 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</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ...,  178.75,  179.25,  179.75],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.75 -89.25 ... 89.25 89.75</div><input id='attrs-f0361f20-18a7-4e3f-b1c9-b37023c61b5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0361f20-18a7-4e3f-b1c9-b37023c61b5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16f72034-93b5-456c-a9bd-251909eee8ba' class='xr-var-data-in' type='checkbox'><label for='data-16f72034-93b5-456c-a9bd-251909eee8ba' 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</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-89.75, -89.25, -88.75, ...,  88.75,  89.25,  89.75], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1901-01-16 ... 2021-12-16</div><input id='attrs-70d7fc43-6901-4791-b1ae-3953a1addc49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70d7fc43-6901-4791-b1ae-3953a1addc49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c9af3c9-f0c6-4702-bdb8-97e0caa2dc6a' class='xr-var-data-in' type='checkbox'><label for='data-7c9af3c9-f0c6-4702-bdb8-97e0caa2dc6a' 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></dl></div><div class='xr-var-data'><pre>array([&#x27;1901-01-16T00:00:00.000000000&#x27;, &#x27;1901-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1901-03-16T00:00:00.000000000&#x27;, ..., &#x27;2021-10-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-11-16T00:00:00.000000000&#x27;, &#x27;2021-12-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8f9bf163-fcfa-4117-8494-e9ae0c392b1d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8f9bf163-fcfa-4117-8494-e9ae0c392b1d' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pre</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dcfca76c-dfcd-4525-acbd-d6523c4358e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcfca76c-dfcd-4525-acbd-d6523c4358e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bcbc3e6-6d37-4fa2-b501-5cdd45bd3722' class='xr-var-data-in' type='checkbox'><label for='data-8bcbc3e6-6d37-4fa2-b501-5cdd45bd3722' 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>precipitation</dd><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>correlation_decay_distance :</span></dt><dd>450.0</dd></dl></div><div class='xr-var-data'><pre>[376358400 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stn</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f3350d1-f1e8-4a55-9d01-34462300073e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f3350d1-f1e8-4a55-9d01-34462300073e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c91b1969-d4b5-4230-9457-ff0c5ba54089' class='xr-var-data-in' type='checkbox'><label for='data-c91b1969-d4b5-4230-9457-ff0c5ba54089' 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>description :</span></dt><dd>number of stations contributing to each datum</dd></dl></div><div class='xr-var-data'><pre>[376358400 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aa91d2be-d8aa-4430-bfa9-6abb9489e850' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aa91d2be-d8aa-4430-bfa9-6abb9489e850' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>title :</span></dt><dd>CRU TS4.06 Precipitation</dd><dt><span>institution :</span></dt><dd>Data held at British Atmospheric Data Centre, RAL, UK.</dd><dt><span>source :</span></dt><dd>Run ID = 2205201912. Data generated from:pre.2204291209.dtb</dd><dt><span>history :</span></dt><dd>Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegridsauto.for called by update.for</dd><dt><span>references :</span></dt><dd>Information on the data is available at http://badc.nerc.ac.uk/data/cru/</dd><dt><span>comment :</span></dt><dd>Access to these data is available to any registered CEDA user.</dd><dt><span>contact :</span></dt><dd>support@ceda.ac.uk</dd></dl></div></li></ul></div></div>"
      ],
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       "<xarray.Dataset>\n",
       "Dimensions:  (lon: 720, lat: 360, time: 1452)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
       "  * lat      (lat) float32 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
       "  * time     (time) datetime64[ns] 1901-01-16 1901-02-15 ... 2021-12-16\n",
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       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
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     "execution_count": 2,
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    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/cru/cru_ts4.06.1901.2021.pre.dat.nc')\n",
    " \n",
    "\n",
    "data"
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       "Dimensions:  (lon: 720, lat: 360, time: 419)\n",
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       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
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       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk</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-b1d532b9-6734-4ccd-a5c4-2279869e2af4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b1d532b9-6734-4ccd-a5c4-2279869e2af4' 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'>lon</span>: 720</li><li><span class='xr-has-index'>lat</span>: 360</li><li><span class='xr-has-index'>time</span>: 419</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-aa9c7d03-8812-433a-b5d8-d58522449692' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aa9c7d03-8812-433a-b5d8-d58522449692' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-b8376999-55b2-4c6f-83e5-69de33e91e9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8376999-55b2-4c6f-83e5-69de33e91e9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7b70f15-3d8c-4d9d-87e9-228886e200df' class='xr-var-data-in' type='checkbox'><label for='data-d7b70f15-3d8c-4d9d-87e9-228886e200df' 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</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ...,  178.75,  179.25,  179.75],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.75 -89.25 ... 89.25 89.75</div><input id='attrs-6275c699-8756-4316-89ae-0c6fb36eb21c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6275c699-8756-4316-89ae-0c6fb36eb21c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c32244c5-270e-435b-a671-acf0bd079ef2' class='xr-var-data-in' type='checkbox'><label for='data-c32244c5-270e-435b-a671-acf0bd079ef2' 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</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-89.75, -89.25, -88.75, ...,  88.75,  89.25,  89.75], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-02-15 ... 2015-12-16</div><input id='attrs-ed37fa56-9cd2-4525-96b7-7f7683a6cc8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed37fa56-9cd2-4525-96b7-7f7683a6cc8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2280b5e9-5f5a-4414-a4c2-d9145350ce48' class='xr-var-data-in' type='checkbox'><label for='data-2280b5e9-5f5a-4414-a4c2-d9145350ce48' 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></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-02-15T00:00:00.000000000&#x27;, &#x27;1981-03-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-04-16T00:00:00.000000000&#x27;, ..., &#x27;2015-10-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-11-16T00:00:00.000000000&#x27;, &#x27;2015-12-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2d2e1ea2-54fd-4ff3-b3fb-1a973ef3168f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2d2e1ea2-54fd-4ff3-b3fb-1a973ef3168f' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pre</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2792e90f-1721-4913-a96f-848b749031b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2792e90f-1721-4913-a96f-848b749031b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-214c482a-0dda-421e-8186-2ff72e1f9d2b' class='xr-var-data-in' type='checkbox'><label for='data-214c482a-0dda-421e-8186-2ff72e1f9d2b' 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>precipitation</dd><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>correlation_decay_distance :</span></dt><dd>450.0</dd></dl></div><div class='xr-var-data'><pre>[108604800 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stn</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb73e5ea-731f-4cbd-9cd1-13e6693aba26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb73e5ea-731f-4cbd-9cd1-13e6693aba26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5083c543-8dd1-4f9a-9e70-dffd54670b2f' class='xr-var-data-in' type='checkbox'><label for='data-5083c543-8dd1-4f9a-9e70-dffd54670b2f' 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>description :</span></dt><dd>number of stations contributing to each datum</dd></dl></div><div class='xr-var-data'><pre>[108604800 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-727bfc02-0161-471e-a4ff-304ecf12c237' class='xr-section-summary-in' type='checkbox'  checked><label for='section-727bfc02-0161-471e-a4ff-304ecf12c237' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>title :</span></dt><dd>CRU TS4.06 Precipitation</dd><dt><span>institution :</span></dt><dd>Data held at British Atmospheric Data Centre, RAL, UK.</dd><dt><span>source :</span></dt><dd>Run ID = 2205201912. Data generated from:pre.2204291209.dtb</dd><dt><span>history :</span></dt><dd>Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegridsauto.for called by update.for</dd><dt><span>references :</span></dt><dd>Information on the data is available at http://badc.nerc.ac.uk/data/cru/</dd><dt><span>comment :</span></dt><dd>Access to these data is available to any registered CEDA user.</dd><dt><span>contact :</span></dt><dd>support@ceda.ac.uk</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lon: 720, lat: 360, time: 419)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
       "  * lat      (lat) float32 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
       "  * time     (time) datetime64[ns] 1981-02-15 1981-03-16 ... 2015-12-16\n",
       "Data variables:\n",
       "    pre      (time, lat, lon) float32 ...\n",
       "    stn      (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1981-01-16T12:00:00.000000000','2015-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
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       "  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:  (lon: 720, lat: 360, time: 140)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
       "  * lat      (lat) float32 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
       "  * time     (time) datetime64[ns] 1981-06-16 1981-07-16 ... 2015-09-16\n",
       "Data variables:\n",
       "    pre      (time, lat, lon) float32 ...\n",
       "    stn      (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk</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-d2c2bf6f-44ee-492f-82f8-ee72147edb18' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d2c2bf6f-44ee-492f-82f8-ee72147edb18' 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'>lon</span>: 720</li><li><span class='xr-has-index'>lat</span>: 360</li><li><span class='xr-has-index'>time</span>: 140</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-45782297-f61e-44f6-9bbe-4e03ab5b7198' class='xr-section-summary-in' type='checkbox'  checked><label for='section-45782297-f61e-44f6-9bbe-4e03ab5b7198' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-0246a578-02bb-461d-b981-cdea4831f9b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0246a578-02bb-461d-b981-cdea4831f9b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-388aca8a-96a5-4d64-a585-574d906f342d' class='xr-var-data-in' type='checkbox'><label for='data-388aca8a-96a5-4d64-a585-574d906f342d' 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</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ...,  178.75,  179.25,  179.75],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.75 -89.25 ... 89.25 89.75</div><input id='attrs-02227aca-c2cf-4d0a-bb20-8b44d3f08ca8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02227aca-c2cf-4d0a-bb20-8b44d3f08ca8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4b057ce-0022-4c30-854f-2ae017bda732' class='xr-var-data-in' type='checkbox'><label for='data-e4b057ce-0022-4c30-854f-2ae017bda732' 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</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-89.75, -89.25, -88.75, ...,  88.75,  89.25,  89.75], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2015-09-16</div><input id='attrs-c524d00b-60bb-4add-acb1-dc44b88f50f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c524d00b-60bb-4add-acb1-dc44b88f50f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-650ac2e7-e4b2-45dd-9a6c-ee4c0f43f5a8' class='xr-var-data-in' type='checkbox'><label for='data-650ac2e7-e4b2-45dd-9a6c-ee4c0f43f5a8' 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></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T00:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T00:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T00:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T00:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T00:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T00:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T00:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T00:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T00:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T00:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T00:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T00:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T00:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T00:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T00:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T00:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T00:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T00:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T00:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T00:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T00:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T00:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T00:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T00:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T00:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T00:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T00:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T00:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T00:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T00:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T00:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T00:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-16T00:00:00.000000000&#x27;, &#x27;2013-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-16T00:00:00.000000000&#x27;, &#x27;2013-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-06-16T00:00:00.000000000&#x27;, &#x27;2014-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-08-16T00:00:00.000000000&#x27;, &#x27;2014-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-06-16T00:00:00.000000000&#x27;, &#x27;2015-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-16T00:00:00.000000000&#x27;, &#x27;2015-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e2127be5-be42-48b7-9bbc-26809aacc1e4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e2127be5-be42-48b7-9bbc-26809aacc1e4' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pre</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e6bb180d-593e-4560-800c-3ea0541f1b8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6bb180d-593e-4560-800c-3ea0541f1b8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54c8a91f-5719-42e5-bd70-c49003dee5b6' class='xr-var-data-in' type='checkbox'><label for='data-54c8a91f-5719-42e5-bd70-c49003dee5b6' 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>precipitation</dd><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>correlation_decay_distance :</span></dt><dd>450.0</dd></dl></div><div class='xr-var-data'><pre>[36288000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stn</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-450db12b-b64b-41b9-8ac5-7491cccecea7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-450db12b-b64b-41b9-8ac5-7491cccecea7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86cd6a25-364d-488e-8ab5-5059450d6091' class='xr-var-data-in' type='checkbox'><label for='data-86cd6a25-364d-488e-8ab5-5059450d6091' 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>description :</span></dt><dd>number of stations contributing to each datum</dd></dl></div><div class='xr-var-data'><pre>[36288000 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-59f1b01e-553e-4a0b-912b-b1e04e549f97' class='xr-section-summary-in' type='checkbox'  checked><label for='section-59f1b01e-553e-4a0b-912b-b1e04e549f97' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>title :</span></dt><dd>CRU TS4.06 Precipitation</dd><dt><span>institution :</span></dt><dd>Data held at British Atmospheric Data Centre, RAL, UK.</dd><dt><span>source :</span></dt><dd>Run ID = 2205201912. Data generated from:pre.2204291209.dtb</dd><dt><span>history :</span></dt><dd>Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegridsauto.for called by update.for</dd><dt><span>references :</span></dt><dd>Information on the data is available at http://badc.nerc.ac.uk/data/cru/</dd><dt><span>comment :</span></dt><dd>Access to these data is available to any registered CEDA user.</dd><dt><span>contact :</span></dt><dd>support@ceda.ac.uk</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lon: 720, lat: 360, time: 140)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
       "  * lat      (lat) float32 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
       "  * time     (time) datetime64[ns] 1981-06-16 1981-07-16 ... 2015-09-16\n",
       "Data variables:\n",
       "    pre      (time, lat, lon) float32 ...\n",
       "    stn      (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk"
      ]
     },
     "execution_count": 4,
     "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": 5,
   "id": "735515f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.latitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fd310367",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.longitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2a9644bb",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lon: 16, lat: 20, time: 140)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.25 86.75 87.25 87.75 ... 92.25 92.75 93.25 93.75\n",
       "  * lat      (lat) float32 18.25 18.75 19.25 19.75 ... 26.25 26.75 27.25 27.75\n",
       "  * time     (time) datetime64[ns] 1981-06-16 1981-07-16 ... 2015-09-16\n",
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       "    stn      (time, lat, lon) float64 nan nan nan nan nan ... 7.0 6.0 5.0 6.0\n",
       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk</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-06769ff9-633b-4c69-a14c-605645af29d1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-06769ff9-633b-4c69-a14c-605645af29d1' 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'>lon</span>: 16</li><li><span class='xr-has-index'>lat</span>: 20</li><li><span class='xr-has-index'>time</span>: 140</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b93adb1e-07ae-445b-ac9f-c8b7db501dae' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b93adb1e-07ae-445b-ac9f-c8b7db501dae' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.25 86.75 87.25 ... 93.25 93.75</div><input id='attrs-de4c0364-05e2-43e5-96a8-e32efebc78f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de4c0364-05e2-43e5-96a8-e32efebc78f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ba1a47d-2784-47cc-8323-e3ad53ea8a93' class='xr-var-data-in' type='checkbox'><label for='data-8ba1a47d-2784-47cc-8323-e3ad53ea8a93' 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</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([86.25, 86.75, 87.25, 87.75, 88.25, 88.75, 89.25, 89.75, 90.25, 90.75,\n",
       "       91.25, 91.75, 92.25, 92.75, 93.25, 93.75], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.25 18.75 19.25 ... 27.25 27.75</div><input id='attrs-a8c412cd-22fc-422e-92c6-29d21a804975' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8c412cd-22fc-422e-92c6-29d21a804975' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d072b308-9d99-4130-9de6-82d01d452775' class='xr-var-data-in' type='checkbox'><label for='data-d072b308-9d99-4130-9de6-82d01d452775' 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</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([18.25, 18.75, 19.25, 19.75, 20.25, 20.75, 21.25, 21.75, 22.25, 22.75,\n",
       "       23.25, 23.75, 24.25, 24.75, 25.25, 25.75, 26.25, 26.75, 27.25, 27.75],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2015-09-16</div><input id='attrs-ea934128-040e-464d-9ec6-a33059bcb490' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea934128-040e-464d-9ec6-a33059bcb490' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbb7f2f9-934d-4ac2-a535-21bd03f0fc4b' class='xr-var-data-in' type='checkbox'><label for='data-cbb7f2f9-934d-4ac2-a535-21bd03f0fc4b' 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></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T00:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T00:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T00:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T00:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T00:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T00:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T00:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T00:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T00:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T00:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T00:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T00:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T00:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T00:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T00:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T00:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T00:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T00:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T00:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T00:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T00:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T00:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T00:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T00:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T00:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T00:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T00:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T00:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T00:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T00:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T00:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T00:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-16T00:00:00.000000000&#x27;, &#x27;2013-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-16T00:00:00.000000000&#x27;, &#x27;2013-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-06-16T00:00:00.000000000&#x27;, &#x27;2014-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-08-16T00:00:00.000000000&#x27;, &#x27;2014-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-06-16T00:00:00.000000000&#x27;, &#x27;2015-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-16T00:00:00.000000000&#x27;, &#x27;2015-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-331720fa-b800-4de0-87fa-702e17456c4b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-331720fa-b800-4de0-87fa-702e17456c4b' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pre</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d1815d41-62d4-4316-87f6-4227907c18ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1815d41-62d4-4316-87f6-4227907c18ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7f2f0f2-07cf-45ba-9aca-3ae54114cfd5' class='xr-var-data-in' type='checkbox'><label for='data-e7f2f0f2-07cf-45ba-9aca-3ae54114cfd5' 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>precipitation</dd><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>correlation_decay_distance :</span></dt><dd>450.0</dd></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan, ...,        nan,        nan],\n",
       "        [       nan,        nan, ...,        nan,  594.3    ],\n",
       "        ...,\n",
       "        [ 197.2    ,  265.1    , ...,  205.8    ,  293.5    ],\n",
       "        [ 138.3    ,   90.6    , ...,  166.6    ,  224.     ]],\n",
       "\n",
       "       [[       nan,        nan, ...,        nan,        nan],\n",
       "        [       nan,        nan, ...,        nan, 2512.1    ],\n",
       "        ...,\n",
       "        [ 428.6    ,  508.80002, ...,  370.9    ,  497.1    ],\n",
       "        [ 362.9    ,  199.6    , ...,  269.1    ,  354.1    ]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[       nan,        nan, ...,        nan,        nan],\n",
       "        [       nan,        nan, ...,        nan, 1197.6    ],\n",
       "        ...,\n",
       "        [ 503.2    ,  585.4    , ...,  323.5    ,  485.9    ],\n",
       "        [ 464.4    ,  247.8    , ...,  247.8    ,  352.7    ]],\n",
       "\n",
       "       [[       nan,        nan, ...,        nan,        nan],\n",
       "        [       nan,        nan, ...,        nan,  670.10004],\n",
       "        ...,\n",
       "        [ 178.5    ,  244.6    , ...,  198.6    ,  248.40001],\n",
       "        [ 122.8    ,   67.5    , ...,  152.40001,  183.5    ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stn</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f0ae6776-54ed-4cd4-aff2-dfd4908ae948' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0ae6776-54ed-4cd4-aff2-dfd4908ae948' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5aab93d7-18c6-4b4b-8449-b25ffcf3a31d' class='xr-var-data-in' type='checkbox'><label for='data-5aab93d7-18c6-4b4b-8449-b25ffcf3a31d' 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>description :</span></dt><dd>number of stations contributing to each datum</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan,  7.],\n",
       "        ...,\n",
       "        [ 8.,  8., ...,  8.,  8.],\n",
       "        [ 8.,  8., ...,  8.,  8.]],\n",
       "\n",
       "       [[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan,  5.],\n",
       "        ...,\n",
       "        [ 8.,  8., ...,  8.,  8.],\n",
       "        [ 8.,  8., ...,  8.,  8.]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan,  1.],\n",
       "        ...,\n",
       "        [ 3.,  4., ...,  6.,  5.],\n",
       "        [ 4.,  4., ...,  5.,  5.]],\n",
       "\n",
       "       [[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan,  5.],\n",
       "        ...,\n",
       "        [ 4.,  5., ...,  6.,  6.],\n",
       "        [ 4.,  4., ...,  5.,  6.]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0b7e281e-97fa-4d0e-bae3-7352da6d7b81' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0b7e281e-97fa-4d0e-bae3-7352da6d7b81' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>title :</span></dt><dd>CRU TS4.06 Precipitation</dd><dt><span>institution :</span></dt><dd>Data held at British Atmospheric Data Centre, RAL, UK.</dd><dt><span>source :</span></dt><dd>Run ID = 2205201912. Data generated from:pre.2204291209.dtb</dd><dt><span>history :</span></dt><dd>Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegridsauto.for called by update.for</dd><dt><span>references :</span></dt><dd>Information on the data is available at http://badc.nerc.ac.uk/data/cru/</dd><dt><span>comment :</span></dt><dd>Access to these data is available to any registered CEDA user.</dd><dt><span>contact :</span></dt><dd>support@ceda.ac.uk</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lon: 16, lat: 20, time: 140)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.25 86.75 87.25 87.75 ... 92.25 92.75 93.25 93.75\n",
       "  * lat      (lat) float32 18.25 18.75 19.25 19.75 ... 26.25 26.75 27.25 27.75\n",
       "  * time     (time) datetime64[ns] 1981-06-16 1981-07-16 ... 2015-09-16\n",
       "Data variables:\n",
       "    pre      (time, lat, lon) float32 ...\n",
       "    stn      (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "jjas_data = jjas_data.sel(lon=slice(86,94),lat=slice(18,28))\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "91600dec",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-attrs dt,\n",
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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",
       ".xr-icon-database,\n",
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       "  vertical-align: middle;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 140, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-06-16 1981-07-16 ... 2015-09-16\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    pre      (time, lat, lon) float64 nan nan nan nan nan ... nan nan nan nan\n",
       "    stn      (time, lat, lon) float64 nan nan nan nan nan ... nan nan nan nan\n",
       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk</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-4c1d8c06-1e02-46a6-af69-9c083502140e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4c1d8c06-1e02-46a6-af69-9c083502140e' 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>: 140</li><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-57756de3-b8fb-4e13-bafd-adb8b43774a8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-57756de3-b8fb-4e13-bafd-adb8b43774a8' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2015-09-16</div><input id='attrs-2cb140da-5a5a-412c-8897-4c46b444e96a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cb140da-5a5a-412c-8897-4c46b444e96a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2bafebd-3b75-4a82-abdb-62020e60b6e0' class='xr-var-data-in' type='checkbox'><label for='data-e2bafebd-3b75-4a82-abdb-62020e60b6e0' 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></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T00:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T00:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T00:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T00:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T00:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T00:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T00:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T00:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T00:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T00:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T00:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T00:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T00:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T00:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T00:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T00:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T00:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T00:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T00:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T00:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T00:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T00:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T00:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T00:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T00:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T00:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T00:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T00:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T00:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T00:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T00:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T00:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-16T00:00:00.000000000&#x27;, &#x27;2013-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-16T00:00:00.000000000&#x27;, &#x27;2013-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-06-16T00:00:00.000000000&#x27;, &#x27;2014-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-08-16T00:00:00.000000000&#x27;, &#x27;2014-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-06-16T00:00:00.000000000&#x27;, &#x27;2015-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-08-16T00:00:00.000000000&#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 class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-7cf473ac-da08-4953-8ffa-207d1acc2cf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cf473ac-da08-4953-8ffa-207d1acc2cf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c73730f8-ca4d-4180-b5f8-d1a00014894c' class='xr-var-data-in' type='checkbox'><label for='data-c73730f8-ca4d-4180-b5f8-d1a00014894c' 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</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-946cfeef-0f9a-4928-b845-61c1ff86ba5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-946cfeef-0f9a-4928-b845-61c1ff86ba5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f56b8cd-41ac-46ef-ae3f-64f80d2061b8' class='xr-var-data-in' type='checkbox'><label for='data-4f56b8cd-41ac-46ef-ae3f-64f80d2061b8' 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</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-99ad171d-5938-493b-aac9-ee70da13a0cd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-99ad171d-5938-493b-aac9-ee70da13a0cd' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pre</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-42fd5139-7efe-47e6-bdd4-a68ce7c7c714' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42fd5139-7efe-47e6-bdd4-a68ce7c7c714' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e6e2e4c-c7ba-4540-9ac2-4fe6a4b85b0a' class='xr-var-data-in' type='checkbox'><label for='data-7e6e2e4c-c7ba-4540-9ac2-4fe6a4b85b0a' 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>precipitation</dd><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>correlation_decay_distance :</span></dt><dd>450.0</dd></dl></div><div class='xr-var-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        ...,\n",
       "        [         nan, 192.2249999 , 211.72500277, ..., 216.03125286,\n",
       "         256.09375095,          nan],\n",
       "        [         nan, 148.32500124, 138.92500067, ..., 192.64375401,\n",
       "         225.13125134,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan]],\n",
       "\n",
       "       [[         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "...\n",
       "        [         nan, 495.37501049, 499.12501621, ..., 341.58125019,\n",
       "         415.59374905,          nan],\n",
       "        [         nan, 438.62500095, 367.67500591, ..., 296.54375362,\n",
       "         356.18125629,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan]],\n",
       "\n",
       "       [[         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        ...,\n",
       "        [         nan, 173.51250172, 191.38750362, ..., 198.33125687,\n",
       "         220.89375687,          nan],\n",
       "        [         nan, 130.4875021 , 118.01250172, ..., 172.89375687,\n",
       "         190.78125381,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stn</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-5f50270d-6aa2-4f39-ac6e-06e9ae870219' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f50270d-6aa2-4f39-ac6e-06e9ae870219' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-383dc687-cdfa-40c0-9c52-8f357eedd7f1' class='xr-var-data-in' type='checkbox'><label for='data-383dc687-cdfa-40c0-9c52-8f357eedd7f1' 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>description :</span></dt><dd>number of stations contributing to each datum</dd></dl></div><div class='xr-var-data'><pre>array([[[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        ...,\n",
       "        [   nan, 8.    , 8.    , ..., 8.    , 8.    ,    nan],\n",
       "        [   nan, 8.    , 8.    , ..., 8.    , 8.    ,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan]],\n",
       "\n",
       "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        ...,\n",
       "        [   nan, 8.    , 8.    , ..., 8.    , 8.    ,    nan],\n",
       "        [   nan, 8.    , 8.    , ..., 8.    , 8.    ,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan]],\n",
       "\n",
       "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [   nan, 2.4375, 2.8125, ..., 5.8125, 5.9375,    nan],\n",
       "        [   nan, 2.8125, 2.9375, ..., 5.4375, 5.8125,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan]],\n",
       "\n",
       "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        ...,\n",
       "        [   nan, 3.4375, 3.8125, ..., 5.5625, 5.1875,    nan],\n",
       "        [   nan, 3.8125, 3.9375, ..., 5.1875, 5.0625,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan]],\n",
       "\n",
       "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        ...,\n",
       "        [   nan, 4.1875, 4.5625, ..., 5.8125, 5.9375,    nan],\n",
       "        [   nan, 4.0625, 4.1875, ..., 5.4375, 5.8125,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9b089bce-bd6d-436b-b651-cee78d06db87' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9b089bce-bd6d-436b-b651-cee78d06db87' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>title :</span></dt><dd>CRU TS4.06 Precipitation</dd><dt><span>institution :</span></dt><dd>Data held at British Atmospheric Data Centre, RAL, UK.</dd><dt><span>source :</span></dt><dd>Run ID = 2205201912. Data generated from:pre.2204291209.dtb</dd><dt><span>history :</span></dt><dd>Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegridsauto.for called by update.for</dd><dt><span>references :</span></dt><dd>Information on the data is available at http://badc.nerc.ac.uk/data/cru/</dd><dt><span>comment :</span></dt><dd>Access to these data is available to any registered CEDA user.</dd><dt><span>contact :</span></dt><dd>support@ceda.ac.uk</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 140, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-06-16 1981-07-16 ... 2015-09-16\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    pre      (time, lat, lon) float64 nan nan nan nan nan ... nan nan nan nan\n",
       "    stn      (time, lat, lon) float64 nan nan nan nan nan ... nan nan nan nan\n",
       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#interpolating to low resolution \n",
    "new_lon=np.arange(86.125,94,0.25)\n",
    "new_lat=np.arange(18.125,28,.25)\n",
    "jjas_data = jjas_data.interp(lon=new_lon,lat=new_lat)\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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       "\n",
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       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
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       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
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       "\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",
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       "\n",
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       "  margin-left: 2px;\n",
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       "\n",
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       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
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       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
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       "\n",
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       "  color: var(--xr-font-color0);\n",
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       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
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       "\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",
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       "\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",
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       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
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       "\n",
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       "\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",
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       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
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       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
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       "  width: auto;\n",
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       "}\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",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\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;pre&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [         nan, 303.91000574, 309.37893457, ..., 253.93687917,\n",
       "        295.54098661,          nan],\n",
       "       [         nan, 257.49107598, 214.96571834, ..., 225.63455745,\n",
       "        259.88330828,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</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'>'pre'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e85d21d0-fd1e-40a7-a66a-aa44ebf76a10' class='xr-array-in' type='checkbox' checked><label for='section-e85d21d0-fd1e-40a7-a66a-aa44ebf76a10' 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>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [         nan, 303.91000574, 309.37893457, ..., 253.93687917,\n",
       "        295.54098661,          nan],\n",
       "       [         nan, 257.49107598, 214.96571834, ..., 225.63455745,\n",
       "        259.88330828,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-49344dda-54a1-4d95-99a3-31dcadc51a49' class='xr-section-summary-in' type='checkbox'  checked><label for='section-49344dda-54a1-4d95-99a3-31dcadc51a49' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-5dc10973-bd46-4305-a6db-e0f3e033fba8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5dc10973-bd46-4305-a6db-e0f3e033fba8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56ba3f7c-a2bb-42dc-81c3-8a87245a1f0a' class='xr-var-data-in' type='checkbox'><label for='data-56ba3f7c-a2bb-42dc-81c3-8a87245a1f0a' 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</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-96f4566f-4c8c-4543-827e-af5aacae31d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96f4566f-4c8c-4543-827e-af5aacae31d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2d88d03-d3de-4190-a4ca-4c541f148d39' class='xr-var-data-in' type='checkbox'><label for='data-c2d88d03-d3de-4190-a4ca-4c541f148d39' 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</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-27411a21-f46d-4051-9987-8997593cae9d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-27411a21-f46d-4051-9987-8997593cae9d' 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 'pre' (lat: 40, lon: 32)>\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [         nan, 303.91000574, 309.37893457, ..., 253.93687917,\n",
       "        295.54098661,          nan],\n",
       "       [         nan, 257.49107598, 214.96571834, ..., 225.63455745,\n",
       "        259.88330828,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.pre.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6d00cba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "pr_mm = jjas_mean/30.4167\n",
    "pr_mm\n",
    "\n",
    "\n",
    "cru = pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 467, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1979-01-16T12:00:00 ... 2017-11-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1979-01-01 1979-02-01 ... 2017-12-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\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",
       "    CDO:                                             Climate Data Operators v...</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-984bdea4-ca4a-475b-9cc3-2d7813ca2b3c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-984bdea4-ca4a-475b-9cc3-2d7813ca2b3c' 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>: 467</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-61e939e2-8237-49d0-b634-42be1ad5e049' class='xr-section-summary-in' type='checkbox'  checked><label for='section-61e939e2-8237-49d0-b634-42be1ad5e049' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-16T12:00:00 ... 2017-11-16</div><input id='attrs-27034f40-f1c1-4553-880b-6b32cad12e22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27034f40-f1c1-4553-880b-6b32cad12e22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-552702ca-cb48-44b0-b165-c5d28c08a189' class='xr-var-data-in' type='checkbox'><label for='data-552702ca-cb48-44b0-b165-c5d28c08a189' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</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 class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-8f60d6fe-c873-4fa8-bded-849b420f9d1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f60d6fe-c873-4fa8-bded-849b420f9d1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9861ad76-bdf0-4ee8-a2b6-acb665750d1e' class='xr-var-data-in' type='checkbox'><label for='data-9861ad76-bdf0-4ee8-a2b6-acb665750d1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-45be38df-e1d7-41a8-9776-03f460de9c01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45be38df-e1d7-41a8-9776-03f460de9c01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94bbdf7c-40de-4447-9499-6e853d3c8e30' class='xr-var-data-in' type='checkbox'><label for='data-94bbdf7c-40de-4447-9499-6e853d3c8e30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-071223a5-06fb-499d-945f-1fd12580f551' class='xr-section-summary-in' type='checkbox'  checked><label for='section-071223a5-06fb-499d-945f-1fd12580f551' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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'>...</div><input id='attrs-5741588e-da51-43e8-a882-2fa12af04a77' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5741588e-da51-43e8-a882-2fa12af04a77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e66786a4-bf0e-4690-ae9f-2eacf4c39ec4' class='xr-var-data-in' type='checkbox'><label for='data-e66786a4-bf0e-4690-ae9f-2eacf4c39ec4' 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",
       "       ...,\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><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1567ff89-be50-42fa-83c4-e7cb683f7e15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1567ff89-be50-42fa-83c4-e7cb683f7e15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab89543f-7438-4a33-a08e-c72ae2565020' class='xr-var-data-in' type='checkbox'><label for='data-ab89543f-7438-4a33-a08e-c72ae2565020' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[597760 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a46814d8-9ab2-4e48-8857-3f6fa0329908' class='xr-section-summary-in' type='checkbox'  ><label for='section-a46814d8-9ab2-4e48-8857-3f6fa0329908' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Wed Jul 20 11:06:26 2022: cdo remapnn,grid.des pr_was-22-ecmwf_197901-201711.nc pr_was-22-ecmwf_197901-201711_remap1.nc\n",
       "Wed Jul 13 17:38:34 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc pr_was-22-ecmwf_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><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>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>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>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>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 467, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1979-01-16T12:00:00 ... 2017-11-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] ...\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\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",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening eraint data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/Era_intrim/pr_was-22-ecmwf_197901-201711_remap1.nc')\n",
    " \n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
    {
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       "  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.Dataset&gt;\n",
       "Dimensions:    (time: 419, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2015-11-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-01-01 1981-02-01 ... 2015-12-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\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",
       "    CDO:                                             Climate Data Operators v...</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-30a8af18-0a6c-44a9-90ba-9cee4248d47f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-30a8af18-0a6c-44a9-90ba-9cee4248d47f' 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>: 419</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9a89538c-9753-4741-8730-b79e7a72cbdd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a89538c-9753-4741-8730-b79e7a72cbdd' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-16T12:00:00 ... 2015-11-16</div><input id='attrs-230ae73f-641a-493d-a345-a7e8dad5a8ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-230ae73f-641a-493d-a345-a7e8dad5a8ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-738a2d3e-2cd6-48c9-9211-3cc36f9e1989' class='xr-var-data-in' type='checkbox'><label for='data-738a2d3e-2cd6-48c9-9211-3cc36f9e1989' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-16T12:00:00.000000000&#x27;, &#x27;1981-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-03-16T12:00:00.000000000&#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 class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-5ba98017-7f81-4ec9-8ead-3f42b1e6474c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ba98017-7f81-4ec9-8ead-3f42b1e6474c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f21a93e2-b6a8-43bf-8862-1c2b5ac88989' class='xr-var-data-in' type='checkbox'><label for='data-f21a93e2-b6a8-43bf-8862-1c2b5ac88989' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-61a25a53-7986-4ee5-bad1-66176c411f82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61a25a53-7986-4ee5-bad1-66176c411f82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26e3ae7b-e7c2-44da-bc31-bf7eae8e45aa' class='xr-var-data-in' type='checkbox'><label for='data-26e3ae7b-e7c2-44da-bc31-bf7eae8e45aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f81270e3-91c4-4ebb-a478-1d2bf4e28814' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f81270e3-91c4-4ebb-a478-1d2bf4e28814' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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'>1981-01-01 ... 2015-12-01</div><input id='attrs-a6b42e1d-4885-4c05-9f52-9c2444a3a57e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a6b42e1d-4885-4c05-9f52-9c2444a3a57e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c20afa3c-1080-4d59-8059-b80322ef1d20' class='xr-var-data-in' type='checkbox'><label for='data-c20afa3c-1080-4d59-8059-b80322ef1d20' 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;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",
       "       ...,\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><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a0f0e37-1114-44d7-9dee-91e5c2d9397d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a0f0e37-1114-44d7-9dee-91e5c2d9397d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86c08efd-22e9-44d7-a2a1-e7a62adfd0fa' class='xr-var-data-in' type='checkbox'><label for='data-86c08efd-22e9-44d7-a2a1-e7a62adfd0fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[536320 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6dbe5852-574d-4915-aaaa-348ade8f7f2f' class='xr-section-summary-in' type='checkbox'  ><label for='section-6dbe5852-574d-4915-aaaa-348ade8f7f2f' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Wed Jul 20 11:06:26 2022: cdo remapnn,grid.des pr_was-22-ecmwf_197901-201711.nc pr_was-22-ecmwf_197901-201711_remap1.nc\n",
       "Wed Jul 13 17:38:34 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc pr_was-22-ecmwf_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><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>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>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>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>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 419, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2015-11-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-01-01 1981-02-01 ... 2015-12-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\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",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1981-01-16T12:00:00.000000000','2015-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
    {
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       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 140, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2015-09-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-06-01 1981-07-01 ... 2015-10-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\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",
       "    CDO:                                             Climate Data Operators v...</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-8142930d-2083-41ae-855b-e72c3cb620fa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8142930d-2083-41ae-855b-e72c3cb620fa' 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>: 140</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1f9b31b5-0824-44a8-9bf5-062e2db53ad7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1f9b31b5-0824-44a8-9bf5-062e2db53ad7' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2015-09-16</div><input id='attrs-b292e351-4f55-477f-a810-18d20205f5b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b292e351-4f55-477f-a810-18d20205f5b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcaf3734-3d56-4951-b450-1a214b86dd65' class='xr-var-data-in' type='checkbox'><label for='data-dcaf3734-3d56-4951-b450-1a214b86dd65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#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;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T12:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T12:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#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 class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-fd9b6b41-ed4c-4043-a09e-2969f4aea9d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd9b6b41-ed4c-4043-a09e-2969f4aea9d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01fc538e-7a76-4d8d-abba-af467040824c' class='xr-var-data-in' type='checkbox'><label for='data-01fc538e-7a76-4d8d-abba-af467040824c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-69c6ad3a-850d-4535-9417-f65165c4d281' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69c6ad3a-850d-4535-9417-f65165c4d281' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96019e4a-0d71-4d67-b2aa-cc04c2a8ab64' class='xr-var-data-in' type='checkbox'><label for='data-96019e4a-0d71-4d67-b2aa-cc04c2a8ab64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-824f178f-48c9-4b2c-bab8-692d52376e6a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-824f178f-48c9-4b2c-bab8-692d52376e6a' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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'>1981-06-01 ... 2015-10-01</div><input id='attrs-e9bcb36e-b377-40f4-bedb-44d1bbbc5345' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9bcb36e-b377-40f4-bedb-44d1bbbc5345' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4ccf179-3010-40d9-959c-ff5fe634a9ca' class='xr-var-data-in' type='checkbox'><label for='data-c4ccf179-3010-40d9-959c-ff5fe634a9ca' 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;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;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><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a0a9f311-e19c-457e-be60-2803704de814' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0a9f311-e19c-457e-be60-2803704de814' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b70eec6-49c6-405c-8f99-e30bd63be6e1' class='xr-var-data-in' type='checkbox'><label for='data-6b70eec6-49c6-405c-8f99-e30bd63be6e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[179200 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-37a47983-2722-4df4-b98e-531bb43653c1' class='xr-section-summary-in' type='checkbox'  ><label for='section-37a47983-2722-4df4-b98e-531bb43653c1' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Wed Jul 20 11:06:26 2022: cdo remapnn,grid.des pr_was-22-ecmwf_197901-201711.nc pr_was-22-ecmwf_197901-201711_remap1.nc\n",
       "Wed Jul 13 17:38:34 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc pr_was-22-ecmwf_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><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>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>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>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>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 140, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2015-09-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-06-01 1981-07-01 ... 2015-10-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\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",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 13,
     "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": 14,
   "id": "be94f5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jjas_data.x.values\n",
    "#jjas_data.y.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a41e4a60",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 140, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2015-09-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-06-01 1981-07-01 ... 2015-10-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\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",
       "    CDO:                                             Climate Data Operators v...</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-6e2c72eb-9a65-49b9-ac6d-af19441b6504' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6e2c72eb-9a65-49b9-ac6d-af19441b6504' 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>: 140</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6a2f23d4-54f6-47c0-b8fb-3603f64fc888' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a2f23d4-54f6-47c0-b8fb-3603f64fc888' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2015-09-16</div><input id='attrs-60712f96-b640-4b4d-b31e-70377b376e5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60712f96-b640-4b4d-b31e-70377b376e5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70c8ab0b-7310-41e7-afed-af42b73a987b' class='xr-var-data-in' type='checkbox'><label for='data-70c8ab0b-7310-41e7-afed-af42b73a987b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#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;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T12:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T12:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#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 class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-ca8ef248-e3d5-408d-b7d3-e6696c7fe639' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca8ef248-e3d5-408d-b7d3-e6696c7fe639' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4a048b2-e61e-40fe-bc31-e6e49004a7ee' class='xr-var-data-in' type='checkbox'><label for='data-e4a048b2-e61e-40fe-bc31-e6e49004a7ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-92d8d109-714e-437f-89da-e478cc130830' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92d8d109-714e-437f-89da-e478cc130830' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7d4c392-1f9a-4f95-af97-31ce0c15a039' class='xr-var-data-in' type='checkbox'><label for='data-c7d4c392-1f9a-4f95-af97-31ce0c15a039' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9534d9a5-42c4-4767-b219-e6c372369d48' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9534d9a5-42c4-4767-b219-e6c372369d48' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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'>1981-06-01 ... 2015-10-01</div><input id='attrs-2513b7fd-a98a-4925-8ac4-5fe1388b06cd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2513b7fd-a98a-4925-8ac4-5fe1388b06cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0046d02-da07-4402-954f-93d3bf1f9558' class='xr-var-data-in' type='checkbox'><label for='data-c0046d02-da07-4402-954f-93d3bf1f9558' 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;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;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><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aeca67d3-e243-4d51-bd7c-15278fdb20e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aeca67d3-e243-4d51-bd7c-15278fdb20e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14057403-a525-44df-95cc-511cd340a04f' class='xr-var-data-in' type='checkbox'><label for='data-14057403-a525-44df-95cc-511cd340a04f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[179200 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ade50dea-a25d-4d37-aebc-af35c10b1a9a' class='xr-section-summary-in' type='checkbox'  ><label for='section-ade50dea-a25d-4d37-aebc-af35c10b1a9a' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Wed Jul 20 11:06:26 2022: cdo remapnn,grid.des pr_was-22-ecmwf_197901-201711.nc pr_was-22-ecmwf_197901-201711_remap1.nc\n",
       "Wed Jul 13 17:38:34 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc pr_was-22-ecmwf_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><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>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>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>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>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 140, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2015-09-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-06-01 1981-07-01 ... 2015-10-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\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",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "jjas_data = jjas_data.sel(lon=slice(86,94),lat=slice(18,28))\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[9.38161538e-05, 9.78686148e-05, 1.02379185e-04, ...,\n",
       "        1.29697612e-04, 1.41800090e-04, 1.67867591e-04],\n",
       "       [8.32291771e-05, 8.84977344e-05, 9.26317007e-05, ...,\n",
       "        1.30254601e-04, 1.46988954e-04, 1.63539080e-04],\n",
       "       [7.47940649e-05, 7.95030865e-05, 8.42977170e-05, ...,\n",
       "        1.31012566e-04, 1.56441878e-04, 1.76820467e-04],\n",
       "       ...,\n",
       "       [2.42625785e-04, 3.00330255e-04, 3.55353463e-04, ...,\n",
       "        2.42249822e-04, 2.39482979e-04, 1.75896639e-04],\n",
       "       [2.18096742e-04, 2.60949571e-04, 3.84435843e-04, ...,\n",
       "        1.88273552e-04, 2.70643970e-04, 2.67411553e-04],\n",
       "       [1.83395139e-04, 3.61133221e-04, 9.19390470e-04, ...,\n",
       "        1.71889536e-04, 2.75563652e-04, 3.50650196e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</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'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a3ccbbbe-f3cd-44e0-a8d2-f4a03d3ce6f8' class='xr-array-in' type='checkbox' checked><label for='section-a3ccbbbe-f3cd-44e0-a8d2-f4a03d3ce6f8' 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>9.382e-05 9.787e-05 0.0001024 ... 0.0001719 0.0002756 0.0003507</span></div><div class='xr-array-data'><pre>array([[9.38161538e-05, 9.78686148e-05, 1.02379185e-04, ...,\n",
       "        1.29697612e-04, 1.41800090e-04, 1.67867591e-04],\n",
       "       [8.32291771e-05, 8.84977344e-05, 9.26317007e-05, ...,\n",
       "        1.30254601e-04, 1.46988954e-04, 1.63539080e-04],\n",
       "       [7.47940649e-05, 7.95030865e-05, 8.42977170e-05, ...,\n",
       "        1.31012566e-04, 1.56441878e-04, 1.76820467e-04],\n",
       "       ...,\n",
       "       [2.42625785e-04, 3.00330255e-04, 3.55353463e-04, ...,\n",
       "        2.42249822e-04, 2.39482979e-04, 1.75896639e-04],\n",
       "       [2.18096742e-04, 2.60949571e-04, 3.84435843e-04, ...,\n",
       "        1.88273552e-04, 2.70643970e-04, 2.67411553e-04],\n",
       "       [1.83395139e-04, 3.61133221e-04, 9.19390470e-04, ...,\n",
       "        1.71889536e-04, 2.75563652e-04, 3.50650196e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-0f548386-c635-4c0d-8ef8-ca37c7519e37' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0f548386-c635-4c0d-8ef8-ca37c7519e37' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-aa40eda7-b3a4-4304-919f-61b3b59a054d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa40eda7-b3a4-4304-919f-61b3b59a054d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00bbf1cc-95d7-4f87-9ac9-962f792cc1a5' class='xr-var-data-in' type='checkbox'><label for='data-00bbf1cc-95d7-4f87-9ac9-962f792cc1a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-3f3a7e3a-cb9f-453e-9fb3-d990fe8e8dfd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f3a7e3a-cb9f-453e-9fb3-d990fe8e8dfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36f4ceca-8e2d-48e9-95d0-2fbb6cd2ba59' class='xr-var-data-in' type='checkbox'><label for='data-36f4ceca-8e2d-48e9-95d0-2fbb6cd2ba59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ebeea30c-bc82-44e5-a416-c3b6f0903ab3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ebeea30c-bc82-44e5-a416-c3b6f0903ab3' 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' (lat: 40, lon: 32)>\n",
       "array([[9.38161538e-05, 9.78686148e-05, 1.02379185e-04, ...,\n",
       "        1.29697612e-04, 1.41800090e-04, 1.67867591e-04],\n",
       "       [8.32291771e-05, 8.84977344e-05, 9.26317007e-05, ...,\n",
       "        1.30254601e-04, 1.46988954e-04, 1.63539080e-04],\n",
       "       [7.47940649e-05, 7.95030865e-05, 8.42977170e-05, ...,\n",
       "        1.31012566e-04, 1.56441878e-04, 1.76820467e-04],\n",
       "       ...,\n",
       "       [2.42625785e-04, 3.00330255e-04, 3.55353463e-04, ...,\n",
       "        2.42249822e-04, 2.39482979e-04, 1.75896639e-04],\n",
       "       [2.18096742e-04, 2.60949571e-04, 3.84435843e-04, ...,\n",
       "        1.88273552e-04, 2.70643970e-04, 2.67411553e-04],\n",
       "       [1.83395139e-04, 3.61133221e-04, 9.19390470e-04, ...,\n",
       "        1.71889536e-04, 2.75563652e-04, 3.50650196e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 16,
     "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": "code",
   "execution_count": 17,
   "id": "6f88bd72",
   "metadata": {},
   "outputs": [
    {
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       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-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; (lat: 40, lon: 32)&gt;\n",
       "array([[ 8.10571569,  8.45584832,  8.84556156, ..., 11.20587364,\n",
       "        12.25152779, 14.50375984],\n",
       "       [ 7.1910009 ,  7.64620425,  8.00337894, ..., 11.2539975 ,\n",
       "        12.69984562, 14.12977651],\n",
       "       [ 6.4622072 ,  6.86906667,  7.28332275, ..., 11.31948573,\n",
       "        13.51657826, 15.27728839],\n",
       "       ...,\n",
       "       [20.96286784, 25.94853407, 30.70253916, ..., 20.93038461,\n",
       "        20.69132938, 15.19746962],\n",
       "       [18.84355852, 22.54604297, 33.21525687, ..., 16.26683492,\n",
       "        23.38363901, 23.10435819],\n",
       "       [15.84534002, 31.20191032, 79.43533659, ..., 14.85125595,\n",
       "        23.80869957, 30.29617695]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</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'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6bfe9438-36ed-4ef6-a9ca-3d6f6694013a' class='xr-array-in' type='checkbox' checked><label for='section-6bfe9438-36ed-4ef6-a9ca-3d6f6694013a' 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>8.106 8.456 8.846 8.967 8.984 9.106 ... 30.25 19.3 14.85 23.81 30.3</span></div><div class='xr-array-data'><pre>array([[ 8.10571569,  8.45584832,  8.84556156, ..., 11.20587364,\n",
       "        12.25152779, 14.50375984],\n",
       "       [ 7.1910009 ,  7.64620425,  8.00337894, ..., 11.2539975 ,\n",
       "        12.69984562, 14.12977651],\n",
       "       [ 6.4622072 ,  6.86906667,  7.28332275, ..., 11.31948573,\n",
       "        13.51657826, 15.27728839],\n",
       "       ...,\n",
       "       [20.96286784, 25.94853407, 30.70253916, ..., 20.93038461,\n",
       "        20.69132938, 15.19746962],\n",
       "       [18.84355852, 22.54604297, 33.21525687, ..., 16.26683492,\n",
       "        23.38363901, 23.10435819],\n",
       "       [15.84534002, 31.20191032, 79.43533659, ..., 14.85125595,\n",
       "        23.80869957, 30.29617695]])</pre></div></div></li><li class='xr-section-item'><input id='section-a7eed099-fbe5-4bf0-a7c6-2f8b2a951dde' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a7eed099-fbe5-4bf0-a7c6-2f8b2a951dde' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-a27ee74e-90a2-4bd3-bf8f-cf864d35e7b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a27ee74e-90a2-4bd3-bf8f-cf864d35e7b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-822a86ee-06c0-4218-b205-a4cd273d1a0f' class='xr-var-data-in' type='checkbox'><label for='data-822a86ee-06c0-4218-b205-a4cd273d1a0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-f09dc344-5885-487a-8b98-8c1f099b1eb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f09dc344-5885-487a-8b98-8c1f099b1eb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0acc5625-6473-4d9c-b8ef-551b8fba4e9e' class='xr-var-data-in' type='checkbox'><label for='data-0acc5625-6473-4d9c-b8ef-551b8fba4e9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e67755f5-9668-49a4-9546-9d38ee6ab05d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e67755f5-9668-49a4-9546-9d38ee6ab05d' 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' (lat: 40, lon: 32)>\n",
       "array([[ 8.10571569,  8.45584832,  8.84556156, ..., 11.20587364,\n",
       "        12.25152779, 14.50375984],\n",
       "       [ 7.1910009 ,  7.64620425,  8.00337894, ..., 11.2539975 ,\n",
       "        12.69984562, 14.12977651],\n",
       "       [ 6.4622072 ,  6.86906667,  7.28332275, ..., 11.31948573,\n",
       "        13.51657826, 15.27728839],\n",
       "       ...,\n",
       "       [20.96286784, 25.94853407, 30.70253916, ..., 20.93038461,\n",
       "        20.69132938, 15.19746962],\n",
       "       [18.84355852, 22.54604297, 33.21525687, ..., 16.26683492,\n",
       "        23.38363901, 23.10435819],\n",
       "       [15.84534002, 31.20191032, 79.43533659, ..., 14.85125595,\n",
       "        23.80869957, 30.29617695]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eraint = jjas_mean*86400\n",
    "eraint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
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       ".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 (lat: 40, lon: 32)&gt;\n",
       "array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [        nan, 15.95698318, 20.53118808, ..., 12.58178403,\n",
       "        10.97492403,         nan],\n",
       "       [        nan, 14.08059221, 26.14789854, ...,  8.84872061,\n",
       "        14.83953961,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d3472d61-a33a-487a-8fa0-01d3f0ec0bbc' class='xr-array-in' type='checkbox' checked><label for='section-d3472d61-a33a-487a-8fa0-01d3f0ec0bbc' 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>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [        nan, 15.95698318, 20.53118808, ..., 12.58178403,\n",
       "        10.97492403,         nan],\n",
       "       [        nan, 14.08059221, 26.14789854, ...,  8.84872061,\n",
       "        14.83953961,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-5b3d46aa-921d-4782-957f-b6bbdc95221d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5b3d46aa-921d-4782-957f-b6bbdc95221d' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-88cf866b-d4a1-4cfd-81e0-d7be9a277fab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88cf866b-d4a1-4cfd-81e0-d7be9a277fab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07a5ea84-c874-4d06-a739-6d8980c33771' class='xr-var-data-in' type='checkbox'><label for='data-07a5ea84-c874-4d06-a739-6d8980c33771' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-8e4d2285-4db2-4f9a-ab4b-8d0e07ef446d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e4d2285-4db2-4f9a-ab4b-8d0e07ef446d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c06e077-4ce2-41e1-8feb-4b689f9c3ad9' class='xr-var-data-in' type='checkbox'><label for='data-1c06e077-4ce2-41e1-8feb-4b689f9c3ad9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-904f5e77-ba24-464f-8e5b-5979d6357edc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-904f5e77-ba24-464f-8e5b-5979d6357edc' 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 (lat: 40, lon: 32)>\n",
       "array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [        nan, 15.95698318, 20.53118808, ..., 12.58178403,\n",
       "        10.97492403,         nan],\n",
       "       [        nan, 14.08059221, 26.14789854, ...,  8.84872061,\n",
       "        14.83953961,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias = eraint - cru\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "  display: grid;\n",
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       ".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 (lat: 40, lon: 32)&gt;\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [         nan, 159.70476828, 201.85310586, ..., 150.70530586,\n",
       "        112.95251315,          nan],\n",
       "       [         nan, 166.33009417, 369.98121912, ..., 119.28530955,\n",
       "        173.68172943,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c5d08b24-fe4f-4e37-9a2a-9385e87a020a' class='xr-array-in' type='checkbox' checked><label for='section-c5d08b24-fe4f-4e37-9a2a-9385e87a020a' 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>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [         nan, 159.70476828, 201.85310586, ..., 150.70530586,\n",
       "        112.95251315,          nan],\n",
       "       [         nan, 166.33009417, 369.98121912, ..., 119.28530955,\n",
       "        173.68172943,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-b1527313-8661-4b83-aa22-360dff881e82' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b1527313-8661-4b83-aa22-360dff881e82' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-a09fad62-84c5-4365-ab6d-f4b4f931cd05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a09fad62-84c5-4365-ab6d-f4b4f931cd05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adbcc068-a75f-41ad-b7bb-453a5e45d3c1' class='xr-var-data-in' type='checkbox'><label for='data-adbcc068-a75f-41ad-b7bb-453a5e45d3c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-d3474a78-1c5c-4988-8047-c781ebf03a64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3474a78-1c5c-4988-8047-c781ebf03a64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d1f3806-505d-422e-b330-71b960ffc2a8' class='xr-var-data-in' type='checkbox'><label for='data-9d1f3806-505d-422e-b330-71b960ffc2a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66626aa4-e7a5-4f74-8550-52dd68325395' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-66626aa4-e7a5-4f74-8550-52dd68325395' 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 (lat: 40, lon: 32)>\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [         nan, 159.70476828, 201.85310586, ..., 150.70530586,\n",
       "        112.95251315,          nan],\n",
       "       [         nan, 166.33009417, 369.98121912, ..., 119.28530955,\n",
       "        173.68172943,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias_percentage = ((eraint - cru)/cru)*100\n",
    "bias_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "08ba09cb",
   "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(bias['lon'], bias['lat'],bias[:,:],\n",
    "                levels=np.arange(-15,15+3,3),  transform = ccrs.PlateCarree(),cmap='BrBG',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, ticks=np.arange(-15,15+3,3),orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias(EraInt-CRU)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(eraint-cru).png\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "9003db92",
   "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 bias percentage \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(bias_percentage['lon'][:], bias_percentage['lat'][:],bias_percentage[:,:],\n",
    "                levels=np.arange(-150,150+25,25),transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    "#levels=(-150,-100,-75,-50,-25,-10,-5,0,5,10,25,50,75,100,150),\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,ticks=np.arange(-150,150+25,25) ,orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'percentage')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    " \n",
    "    \n",
    "plt.title('Seasonal Bias-Percentage(EraInt-CRU)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(eraint-cru).png\")\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "220503a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \\nBrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\\nGreens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \\nPastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\\nRdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \\nSpectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\\nautumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \\ncopper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\\ngist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\\ngnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\\nmagma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \\nseismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \\nter'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#cma colors\n",
    "'''Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \n",
    "BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\n",
    "Greens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \n",
    "Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\n",
    "RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \n",
    "Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\n",
    "autumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \n",
    "copper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\n",
    "gist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\n",
    "gnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\n",
    "magma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \n",
    "seismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \n",
    "ter'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87f4ea28",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20e38f40",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "21be7cc5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "17951dd6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}