Seasonal Bias(Mpi-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-6984d7df-d0da-4d62-8e1e-b91c5fbe7d69' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6984d7df-d0da-4d62-8e1e-b91c5fbe7d69' 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-3d99ee4c-00c6-462c-bc21-2aecce9fa651' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3d99ee4c-00c6-462c-bc21-2aecce9fa651' 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-66d9eb44-3dd3-4306-9ae1-55fc9cc80956' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66d9eb44-3dd3-4306-9ae1-55fc9cc80956' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a316b1dc-0aa4-49d4-807a-b2fff946f98d' class='xr-var-data-in' type='checkbox'><label for='data-a316b1dc-0aa4-49d4-807a-b2fff946f98d' 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-3fd0ad47-00a0-4e83-b1c1-28ae20e32a61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fd0ad47-00a0-4e83-b1c1-28ae20e32a61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-349d3081-5f77-4730-9438-f745b2bca3a7' class='xr-var-data-in' type='checkbox'><label for='data-349d3081-5f77-4730-9438-f745b2bca3a7' 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-a2ef634d-737a-4157-8c2f-9620a74b5760' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2ef634d-737a-4157-8c2f-9620a74b5760' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bccc796a-fa8b-43db-a1b6-6a5d709ba951' class='xr-var-data-in' type='checkbox'><label for='data-bccc796a-fa8b-43db-a1b6-6a5d709ba951' 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-b49ce097-a781-4ba8-9fb9-ea29934f4803' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b49ce097-a781-4ba8-9fb9-ea29934f4803' 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-ce717aac-d67c-4399-9fca-47142db66035' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce717aac-d67c-4399-9fca-47142db66035' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09063bc9-3150-4774-af84-e21e029a086a' class='xr-var-data-in' type='checkbox'><label for='data-09063bc9-3150-4774-af84-e21e029a086a' 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-91b68d1d-bb35-4520-a589-af31e2c390c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91b68d1d-bb35-4520-a589-af31e2c390c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b98b64c-d7ab-4f26-b194-c0eeb5f4a5ba' class='xr-var-data-in' type='checkbox'><label for='data-7b98b64c-d7ab-4f26-b194-c0eeb5f4a5ba' 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-3d51810e-5b4c-4bd6-a7e4-f7542d0151b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3d51810e-5b4c-4bd6-a7e4-f7542d0151b1' 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: 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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   "source": [
    "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: 299)\n",
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       "Attributes:\n",
       "    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-0899ad0b-c1b2-467b-9dce-747d20bdb5b2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0899ad0b-c1b2-467b-9dce-747d20bdb5b2' 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>: 299</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bd3eb4d1-0f2b-4220-9c43-f58f3b6b9329' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bd3eb4d1-0f2b-4220-9c43-f58f3b6b9329' 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-902fa2c0-4caa-40bd-b4ce-59da39acff18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-902fa2c0-4caa-40bd-b4ce-59da39acff18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-442d4413-897b-44f5-81b7-1f21d0a039a5' class='xr-var-data-in' type='checkbox'><label for='data-442d4413-897b-44f5-81b7-1f21d0a039a5' 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-f109893b-d165-4c17-ac59-e5a02b54d72e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f109893b-d165-4c17-ac59-e5a02b54d72e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7128ba4-cf11-4fb2-a81b-5017e97feefc' class='xr-var-data-in' type='checkbox'><label for='data-a7128ba4-cf11-4fb2-a81b-5017e97feefc' 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 ... 2005-12-16</div><input id='attrs-38e1f940-3e98-4236-9863-ae4fa0394050' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38e1f940-3e98-4236-9863-ae4fa0394050' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-780b1e1c-7911-4afc-8322-c02e332e99e3' class='xr-var-data-in' type='checkbox'><label for='data-780b1e1c-7911-4afc-8322-c02e332e99e3' 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;2005-10-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2beaf2aa-5d3a-45f0-9da2-9f3a47f7fdef' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2beaf2aa-5d3a-45f0-9da2-9f3a47f7fdef' 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-76d43fe0-3dae-44c1-b40d-4cb8218c56a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76d43fe0-3dae-44c1-b40d-4cb8218c56a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbdf4560-ee28-4e24-b0d0-aae0127a8ecc' class='xr-var-data-in' type='checkbox'><label for='data-cbdf4560-ee28-4e24-b0d0-aae0127a8ecc' 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>[77500800 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-135738f8-6855-4d04-b453-b6f4f1e93f92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-135738f8-6855-4d04-b453-b6f4f1e93f92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97de9dfe-e3ae-4ade-9078-3f8afc976ec5' class='xr-var-data-in' type='checkbox'><label for='data-97de9dfe-e3ae-4ade-9078-3f8afc976ec5' 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>[77500800 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-05f6cd9f-c19c-44f6-bba1-baf9ba1da8d7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-05f6cd9f-c19c-44f6-bba1-baf9ba1da8d7' 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: 299)\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 ... 2005-12-16\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','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
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       "  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:  (lon: 720, lat: 360, time: 100)\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 ... 2005-09-16\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-65873833-f226-47e7-af61-11b1f339cdc3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-65873833-f226-47e7-af61-11b1f339cdc3' 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>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ebb037ff-866a-4818-9f49-8acae5a21cd6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ebb037ff-866a-4818-9f49-8acae5a21cd6' 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-e71d00e8-6dbb-47ff-82b5-f09f667ef374' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e71d00e8-6dbb-47ff-82b5-f09f667ef374' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3aee7b26-1ff0-49ae-9ce8-39cd00629652' class='xr-var-data-in' type='checkbox'><label for='data-3aee7b26-1ff0-49ae-9ce8-39cd00629652' 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-b5aec153-52c1-4a8c-8c1a-adfb00e171a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5aec153-52c1-4a8c-8c1a-adfb00e171a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa6cbf7d-879a-4c7b-a047-838076470c07' class='xr-var-data-in' type='checkbox'><label for='data-fa6cbf7d-879a-4c7b-a047-838076470c07' 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 ... 2005-09-16</div><input id='attrs-c3fb6b21-cf09-46be-a112-0bfc3952d3f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3fb6b21-cf09-46be-a112-0bfc3952d3f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9d4728e-ced6-462f-ab6c-04bc3632217a' class='xr-var-data-in' type='checkbox'><label for='data-d9d4728e-ced6-462f-ab6c-04bc3632217a' 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",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d8ee3065-50ec-4c6d-b607-898bbe530168' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d8ee3065-50ec-4c6d-b607-898bbe530168' 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-1a278409-5ff8-482a-84f7-dca2144ebfc2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a278409-5ff8-482a-84f7-dca2144ebfc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa080545-aed5-4e5e-bbc8-284018647abc' class='xr-var-data-in' type='checkbox'><label for='data-aa080545-aed5-4e5e-bbc8-284018647abc' 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>[25920000 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-1b067501-b2d3-450d-91f5-46bc357c6245' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b067501-b2d3-450d-91f5-46bc357c6245' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58b63427-a925-4d59-a8d4-4631c876e666' class='xr-var-data-in' type='checkbox'><label for='data-58b63427-a925-4d59-a8d4-4631c876e666' 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>[25920000 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d14e3a93-658b-4957-b26d-17c63ec4d7f2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d14e3a93-658b-4957-b26d-17c63ec4d7f2' 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: 100)\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 ... 2005-09-16\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": [
    {
     "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",
       ".xr-attrs dt:hover span {\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lon: 16, lat: 20, time: 100)\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 ... 2005-09-16\n",
       "Data variables:\n",
       "    pre      (time, lat, lon) float32 nan nan nan nan ... 48.9 76.6 108.2 132.9\n",
       "    stn      (time, lat, lon) float64 nan nan nan nan nan ... 8.0 8.0 8.0 8.0\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-921515a6-7269-4430-a259-09a44e4f24a4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-921515a6-7269-4430-a259-09a44e4f24a4' 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>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7ca688e3-be3e-4f62-93b8-16ec6727d953' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7ca688e3-be3e-4f62-93b8-16ec6727d953' 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-67c245c2-908c-47d4-a2da-bbc1c7e9eb24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67c245c2-908c-47d4-a2da-bbc1c7e9eb24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a708833-1b71-4080-b48a-186ef2379bcf' class='xr-var-data-in' type='checkbox'><label for='data-4a708833-1b71-4080-b48a-186ef2379bcf' 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-6d0a3591-ad7f-40cd-a56b-384275e623d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d0a3591-ad7f-40cd-a56b-384275e623d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35091445-f743-4df2-bb33-096ebb6addfb' class='xr-var-data-in' type='checkbox'><label for='data-35091445-f743-4df2-bb33-096ebb6addfb' 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 ... 2005-09-16</div><input id='attrs-03d7138d-c348-42d6-99e7-77462cffb7d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03d7138d-c348-42d6-99e7-77462cffb7d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb27001b-40ea-49d7-bc46-d1f68ca1380b' class='xr-var-data-in' type='checkbox'><label for='data-fb27001b-40ea-49d7-bc46-d1f68ca1380b' 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",
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       "       &#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",
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       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-29e2d169-83cd-46b8-ae63-be480c2540e0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-29e2d169-83cd-46b8-ae63-be480c2540e0' 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-4d3ebd25-6b8e-4e14-a288-2c969e01d0f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d3ebd25-6b8e-4e14-a288-2c969e01d0f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0544b2b7-9214-49b7-b5ed-cb8fa8f72832' class='xr-var-data-in' type='checkbox'><label for='data-0544b2b7-9214-49b7-b5ed-cb8fa8f72832' 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, 1151.9     ],\n",
       "        ...,\n",
       "        [ 282.30002 ,  330.30002 , ...,  203.1     ,  279.5     ],\n",
       "        [ 264.6     ,  142.40001 , ...,  162.2     ,  209.7     ]],\n",
       "\n",
       "       [[        nan,         nan, ...,         nan,         nan],\n",
       "        [        nan,         nan, ...,         nan,  861.3     ],\n",
       "        ...,\n",
       "        [ 215.6     ,  264.5     , ...,  127.      ,  153.90001 ],\n",
       "        [ 167.      ,   80.3     , ...,  108.200005,  132.90001 ]]],\n",
       "      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-0f88b77e-72fe-4401-a4b7-049b0faf9ab2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f88b77e-72fe-4401-a4b7-049b0faf9ab2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e716c0c-e8f1-4c0a-be47-2f0c47cb6fe4' class='xr-var-data-in' type='checkbox'><label for='data-7e716c0c-e8f1-4c0a-be47-2f0c47cb6fe4' 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,  3.],\n",
       "        ...,\n",
       "        [ 5.,  6., ...,  6.,  6.],\n",
       "        [ 5.,  5., ...,  7.,  8.]],\n",
       "\n",
       "       [[nan, nan, ..., nan, nan],\n",
       "        [nan, nan, ..., nan,  6.],\n",
       "        ...,\n",
       "        [ 7.,  8., ...,  8.,  8.],\n",
       "        [ 7.,  7., ...,  8.,  8.]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-69bc5e01-d8da-49de-84c7-a84606e5b322' class='xr-section-summary-in' type='checkbox'  checked><label for='section-69bc5e01-d8da-49de-84c7-a84606e5b322' 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: 100)\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 ... 2005-09-16\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": "bc90bfe3",
   "metadata": {},
   "outputs": [
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       "  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: 100, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-06-16 1981-07-16 ... 2005-09-16\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\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-7a58edab-4fe9-4cf0-93f8-158eed0ed536' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7a58edab-4fe9-4cf0-93f8-158eed0ed536' 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>: 100</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-40f05a08-c41d-4ee2-b7df-fca95030a17d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-40f05a08-c41d-4ee2-b7df-fca95030a17d' 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 ... 2005-09-16</div><input id='attrs-44826098-d0a4-4f0e-bb95-35e6b1308768' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44826098-d0a4-4f0e-bb95-35e6b1308768' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c67ab38e-7859-44e6-80aa-7d5af2d69a9e' class='xr-var-data-in' type='checkbox'><label for='data-c67ab38e-7859-44e6-80aa-7d5af2d69a9e' 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",
       "      dtype=&#x27;datetime64[ns]&#x27;)</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-1e34872f-9f14-42ff-b8bc-92fc30f2fbe2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e34872f-9f14-42ff-b8bc-92fc30f2fbe2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b95fbab3-1fa1-470e-ac6b-c7155dc80a32' class='xr-var-data-in' type='checkbox'><label for='data-b95fbab3-1fa1-470e-ac6b-c7155dc80a32' 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><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-0c980118-ab71-4aa8-aed1-73b50f0b1db1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c980118-ab71-4aa8-aed1-73b50f0b1db1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9d59af9-af6b-4500-823e-e73bb7191fd7' class='xr-var-data-in' type='checkbox'><label for='data-f9d59af9-af6b-4500-823e-e73bb7191fd7' 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></ul></div></li><li class='xr-section-item'><input id='section-f4e827ee-e0ff-4e3f-b7a2-02e4badc920f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f4e827ee-e0ff-4e3f-b7a2-02e4badc920f' 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-7b85af4e-4799-4e45-b997-0a432c46894b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b85af4e-4799-4e45-b997-0a432c46894b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f7807d4-b61f-4a20-ae8f-4f6b61086df9' class='xr-var-data-in' type='checkbox'><label for='data-4f7807d4-b61f-4a20-ae8f-4f6b61086df9' 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, 192.22500038, 211.7250042 , ..., 216.03125286,\n",
       "         256.09375095,          nan],\n",
       "        [         nan, 148.32500267, 138.92500496, ..., 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, 279.23751545, 281.96251583, ..., 210.16875267,\n",
       "         244.75625038,          nan],\n",
       "        [         nan, 249.11250973, 209.28751087, ..., 186.10624886,\n",
       "         213.46874809,          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, 207.20000362, 214.70000172, ..., 128.88750315,\n",
       "         142.06250715,          nan],\n",
       "        [         nan, 165.95000172, 139.5500021 , ..., 119.21250486,\n",
       "         131.83750772,          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-fc8000f8-08ea-4363-aa00-018be63d50b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc8000f8-08ea-4363-aa00-018be63d50b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0c7c144-0a45-42b4-b60f-b5eaaa108a88' class='xr-var-data-in' type='checkbox'><label for='data-a0c7c144-0a45-42b4-b60f-b5eaaa108a88' 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, 5.1875, 5.5625, ..., 7.25  , 7.25  ,    nan],\n",
       "        [   nan, 5.0625, 5.1875, ..., 7.75  , 7.75  ,    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, 5.1875, 5.5625, ..., 6.3125, 6.4375,    nan],\n",
       "        [   nan, 5.0625, 5.1875, ..., 6.9375, 7.3125,    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, 7.1875, 7.5625, ..., 8.    , 8.    ,    nan],\n",
       "        [   nan, 7.0625, 7.1875, ..., 8.    , 8.    ,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-163fd9e0-e053-432a-a80b-8db5412271e4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-163fd9e0-e053-432a-a80b-8db5412271e4' 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: 100, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-06-16 1981-07-16 ... 2005-09-16\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\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 new lat and lon\n",
    "\n",
    "new_lon = np.arange(86.125,94,0.25)\n",
    "new_lat = np.arange(18.125,28,0.25)\n",
    "jjas_data = jjas_data.interp(lat=new_lat,lon=new_lon)\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "91600dec",
   "metadata": {},
   "outputs": [],
   "source": [
    "#interpolating to low resolution \n",
    "#new_lon=np.arange(86,94,0.5625)\n",
    "#new_lat=np.arange(17,28,.556914)\n",
    "#jjas_data = jjas_data.interp(longitude=new_lon,latitude=new_lat)\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
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       "</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, 307.8540058 , 313.06750634, ..., 257.97650403,\n",
       "        300.16450421,          nan],\n",
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       "        263.6115048 ,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
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       "Coordinates:\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88</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-d09f4ea7-6903-46a4-aab2-2dae576bfc9e' class='xr-array-in' type='checkbox' checked><label for='section-d09f4ea7-6903-46a4-aab2-2dae576bfc9e' 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, 307.8540058 , 313.06750634, ..., 257.97650403,\n",
       "        300.16450421,          nan],\n",
       "       [         nan, 261.3955045 , 217.76700435, ..., 228.96350388,\n",
       "        263.6115048 ,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-3670d221-6f44-4c84-97ff-67f2824f6258' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3670d221-6f44-4c84-97ff-67f2824f6258' 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'>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-8910d82f-479d-421e-aa41-d88961365f06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8910d82f-479d-421e-aa41-d88961365f06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bb1cb35-4f88-4f8f-8bd8-c9232899d20e' class='xr-var-data-in' type='checkbox'><label for='data-8bb1cb35-4f88-4f8f-8bd8-c9232899d20e' 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><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-b5f5a4e7-feb7-4855-995d-769a46cbe77c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5f5a4e7-feb7-4855-995d-769a46cbe77c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f6b6f83-ece7-48d8-a582-9e095ff9cfd2' class='xr-var-data-in' type='checkbox'><label for='data-4f6b6f83-ece7-48d8-a582-9e095ff9cfd2' 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></ul></div></li><li class='xr-section-item'><input id='section-9186c584-1a78-450a-8d1a-0d28988ca0e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9186c584-1a78-450a-8d1a-0d28988ca0e4' 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, 307.8540058 , 313.06750634, ..., 257.97650403,\n",
       "        300.16450421,          nan],\n",
       "       [         nan, 261.3955045 , 217.76700435, ..., 228.96350388,\n",
       "        263.6115048 ,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan]])\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88"
      ]
     },
     "execution_count": 10,
     "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": 11,
   "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": 12,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 432, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
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       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1970-01-01 1970-02-01 ... 2006-01-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:15:56 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\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-4c59ab4e-796e-4a1c-8056-0511a79073c5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4c59ab4e-796e-4a1c-8056-0511a79073c5' 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>: 432</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-2b437a3a-ef9c-46ea-9b79-afc9fea982c2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2b437a3a-ef9c-46ea-9b79-afc9fea982c2' 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'>1970-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-c6d4d365-cbcc-454b-88bc-54991cc62e05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6d4d365-cbcc-454b-88bc-54991cc62e05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28661841-bb55-4360-bf91-bbff8ca29e52' class='xr-var-data-in' type='checkbox'><label for='data-28661841-bb55-4360-bf91-bbff8ca29e52' 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;1970-01-16T12:00:00.000000000&#x27;, &#x27;1970-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1970-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#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-69c8d307-cad2-4df9-869a-247611189be5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69c8d307-cad2-4df9-869a-247611189be5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9551a1b4-3f42-4981-a10c-58e924090cc6' class='xr-var-data-in' type='checkbox'><label for='data-9551a1b4-3f42-4981-a10c-58e924090cc6' 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-36299e28-f5f2-4a56-ad4a-278163445e40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36299e28-f5f2-4a56-ad4a-278163445e40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22c4a452-d725-4644-b599-575f30f4e2c9' class='xr-var-data-in' type='checkbox'><label for='data-22c4a452-d725-4644-b599-575f30f4e2c9' 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-51f07c5b-1565-4302-ad18-ab0074e0167d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-51f07c5b-1565-4302-ad18-ab0074e0167d' 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-ab56b2ac-1ca4-416a-bb0a-cff68c242374' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab56b2ac-1ca4-416a-bb0a-cff68c242374' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41ecce98-5e6c-494d-978a-2daea300d84d' class='xr-var-data-in' type='checkbox'><label for='data-41ecce98-5e6c-494d-978a-2daea300d84d' 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;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1970-02-01T00:00:00.000000000&#x27;, &#x27;1970-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1970-03-01T00:00:00.000000000&#x27;, &#x27;1970-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2005-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-12-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#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-4de83c13-18a8-4cb4-84c2-1f1b4bc9cff0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4de83c13-18a8-4cb4-84c2-1f1b4bc9cff0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01ae0e61-6a2c-413d-b7a0-8fef9df4a5e5' class='xr-var-data-in' type='checkbox'><label for='data-01ae0e61-6a2c-413d-b7a0-8fef9df4a5e5' 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>[552960 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a3229d1c-7fc2-40ea-aeb5-05cf9355dfd8' class='xr-section-summary-in' type='checkbox'  ><label for='section-a3229d1c-7fc2-40ea-aeb5-05cf9355dfd8' 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>Thu Jul 07 17:15:56 2022: cdo remapnn,grid.des mpiesm_pr_197001-200512.nc mpi_remap.nc\n",
       "Mon Jun 27 15:35:42 2022: cdo mergetime pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc mpiesm_pr_197001-200512.nc\n",
       "2019-05-16 03:08:44 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 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>2019-09-13T16:14:09Z</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>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>83ebbad8-8c3d-11e9-81e7-7845c4fae25e</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>MP_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MP_85</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> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>24.0</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>288.0</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>historical</dd><dt><span>driving_experiment :</span></dt><dd>MPI-M-MPI-ESM-MR, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MPI-M-MPI-ESM-MR</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</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>"
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       "<xarray.Dataset>\n",
       "Dimensions:    (time: 432, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\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:                                         Thu Jul 07 17:15:56 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening the mpi data\n",
    " \n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/MPI-ESM-MR/mpi_remap.nc')\n",
    " \n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3e3c8c92",
   "metadata": {},
   "outputs": [],
   "source": [
    "#data.lat.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 299, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2005-11-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
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       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:15:56 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\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-fdcf2575-cda4-4b90-831b-8f1cc0030eb3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fdcf2575-cda4-4b90-831b-8f1cc0030eb3' 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>: 299</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-a8156a4f-65c6-43ce-90d1-394fd9077e66' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a8156a4f-65c6-43ce-90d1-394fd9077e66' 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 ... 2005-11-16</div><input id='attrs-07dae725-d88e-43e9-a093-ada45b4d99d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07dae725-d88e-43e9-a093-ada45b4d99d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e08146be-15e1-4d82-be65-72713606c497' class='xr-var-data-in' type='checkbox'><label for='data-e08146be-15e1-4d82-be65-72713606c497' 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;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-10-16T12:00:00.000000000&#x27;, &#x27;2005-11-16T00:00:00.000000000&#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-120e8a05-939a-43ae-8284-aa9056669049' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-120e8a05-939a-43ae-8284-aa9056669049' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27b8140b-4402-41aa-b917-d935fa2da17b' class='xr-var-data-in' type='checkbox'><label for='data-27b8140b-4402-41aa-b917-d935fa2da17b' 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-d13fd8a0-3c51-4dad-bb5e-cb2d05d0e778' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d13fd8a0-3c51-4dad-bb5e-cb2d05d0e778' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b713dd49-3213-4d73-b559-698719fdd2c1' class='xr-var-data-in' type='checkbox'><label for='data-b713dd49-3213-4d73-b559-698719fdd2c1' 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-669a68c6-62fa-4629-a975-6b2e231322ed' class='xr-section-summary-in' type='checkbox'  checked><label for='section-669a68c6-62fa-4629-a975-6b2e231322ed' 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 ... 2005-12-01</div><input id='attrs-e8232269-f171-4d88-acb5-70ebbf86a57c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e8232269-f171-4d88-acb5-70ebbf86a57c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21adfc2c-2904-4112-b77f-10c98b60f8fe' class='xr-var-data-in' type='checkbox'><label for='data-21adfc2c-2904-4112-b77f-10c98b60f8fe' 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;2005-09-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2005-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#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-f85fd246-54b4-4abc-ac87-cc9aa8a251fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f85fd246-54b4-4abc-ac87-cc9aa8a251fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-606a5d41-f793-4e17-a130-0a2eda7becf7' class='xr-var-data-in' type='checkbox'><label for='data-606a5d41-f793-4e17-a130-0a2eda7becf7' 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>[382720 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c72db814-8e63-404e-87b3-3a9aae14f9ce' class='xr-section-summary-in' type='checkbox'  ><label for='section-c72db814-8e63-404e-87b3-3a9aae14f9ce' 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>Thu Jul 07 17:15:56 2022: cdo remapnn,grid.des mpiesm_pr_197001-200512.nc mpi_remap.nc\n",
       "Mon Jun 27 15:35:42 2022: cdo mergetime pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc mpiesm_pr_197001-200512.nc\n",
       "2019-05-16 03:08:44 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 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>2019-09-13T16:14:09Z</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>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>83ebbad8-8c3d-11e9-81e7-7845c4fae25e</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>MP_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MP_85</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> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>24.0</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>288.0</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>historical</dd><dt><span>driving_experiment :</span></dt><dd>MPI-M-MPI-ESM-MR, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MPI-M-MPI-ESM-MR</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</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: 299, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2005-11-16\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 ... 2005-12-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:15:56 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 14,
     "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','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 100, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2005-09-16\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",
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       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:15:56 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\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-7312ce9c-1be5-4ef6-990b-1ebf42d116a2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7312ce9c-1be5-4ef6-990b-1ebf42d116a2' 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>: 100</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-42a309ba-fd7c-4751-89c7-d5781a9c7c15' class='xr-section-summary-in' type='checkbox'  checked><label for='section-42a309ba-fd7c-4751-89c7-d5781a9c7c15' 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 ... 2005-09-16</div><input id='attrs-e034c504-caf2-444c-a0ae-523382658dff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e034c504-caf2-444c-a0ae-523382658dff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25276037-e705-4df4-8fa2-fb06852cb56a' class='xr-var-data-in' type='checkbox'><label for='data-25276037-e705-4df4-8fa2-fb06852cb56a' 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",
       "      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-48353553-6860-4162-8f28-b9df7f0cb41b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48353553-6860-4162-8f28-b9df7f0cb41b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c69f4ec-93ae-4fe1-86f3-b561e1543c85' class='xr-var-data-in' type='checkbox'><label for='data-0c69f4ec-93ae-4fe1-86f3-b561e1543c85' 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-a5ea0999-a105-4bdc-bff3-ba33b0594b5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5ea0999-a105-4bdc-bff3-ba33b0594b5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-964f59bb-f2ea-43ba-865b-456d256189cb' class='xr-var-data-in' type='checkbox'><label for='data-964f59bb-f2ea-43ba-865b-456d256189cb' 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-f420b6d0-eb06-424d-9967-f82f357fcf04' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f420b6d0-eb06-424d-9967-f82f357fcf04' 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 ... 2005-10-01</div><input id='attrs-a996e520-a0ed-473a-997b-f180d550126f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a996e520-a0ed-473a-997b-f180d550126f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55e47c66-d660-4b3c-957a-e0195bb77336' class='xr-var-data-in' type='checkbox'><label for='data-55e47c66-d660-4b3c-957a-e0195bb77336' 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",
       "       [&#x27;1981-09-01T00:00:00.000000000&#x27;, &#x27;1981-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-06-01T00:00:00.000000000&#x27;, &#x27;1982-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-07-01T00:00:00.000000000&#x27;, &#x27;1982-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-08-01T00:00:00.000000000&#x27;, &#x27;1982-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-09-01T00:00:00.000000000&#x27;, &#x27;1982-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-06-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-07-01T00:00:00.000000000&#x27;, &#x27;1983-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-08-01T00:00:00.000000000&#x27;, &#x27;1983-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-09-01T00:00:00.000000000&#x27;, &#x27;1983-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-06-01T00:00:00.000000000&#x27;, &#x27;1984-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-07-01T00:00:00.000000000&#x27;, &#x27;1984-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-08-01T00:00:00.000000000&#x27;, &#x27;1984-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-09-01T00:00:00.000000000&#x27;, &#x27;1984-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1985-06-01T00:00:00.000000000&#x27;, &#x27;1985-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1985-07-01T00:00:00.000000000&#x27;, &#x27;1985-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1985-08-01T00:00:00.000000000&#x27;, &#x27;1985-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1985-09-01T00:00:00.000000000&#x27;, &#x27;1985-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1986-06-01T00:00:00.000000000&#x27;, &#x27;1986-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1986-07-01T00:00:00.000000000&#x27;, &#x27;1986-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1986-08-01T00:00:00.000000000&#x27;, &#x27;1986-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1986-09-01T00:00:00.000000000&#x27;, &#x27;1986-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1987-06-01T00:00:00.000000000&#x27;, &#x27;1987-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1987-07-01T00:00:00.000000000&#x27;, &#x27;1987-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1987-08-01T00:00:00.000000000&#x27;, &#x27;1987-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1987-09-01T00:00:00.000000000&#x27;, &#x27;1987-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1988-06-01T00:00:00.000000000&#x27;, &#x27;1988-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1988-07-01T00:00:00.000000000&#x27;, &#x27;1988-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1988-08-01T00:00:00.000000000&#x27;, &#x27;1988-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1988-09-01T00:00:00.000000000&#x27;, &#x27;1988-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1989-06-01T00:00:00.000000000&#x27;, &#x27;1989-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1989-07-01T00:00:00.000000000&#x27;, &#x27;1989-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1989-08-01T00:00:00.000000000&#x27;, &#x27;1989-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1989-09-01T00:00:00.000000000&#x27;, &#x27;1989-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1990-06-01T00:00:00.000000000&#x27;, &#x27;1990-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1990-07-01T00:00:00.000000000&#x27;, &#x27;1990-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1990-08-01T00:00:00.000000000&#x27;, &#x27;1990-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1990-09-01T00:00:00.000000000&#x27;, &#x27;1990-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1991-06-01T00:00:00.000000000&#x27;, &#x27;1991-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1991-07-01T00:00:00.000000000&#x27;, &#x27;1991-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1991-08-01T00:00:00.000000000&#x27;, &#x27;1991-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1991-09-01T00:00:00.000000000&#x27;, &#x27;1991-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1992-06-01T00:00:00.000000000&#x27;, &#x27;1992-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1992-07-01T00:00:00.000000000&#x27;, &#x27;1992-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1992-08-01T00:00:00.000000000&#x27;, &#x27;1992-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1992-09-01T00:00:00.000000000&#x27;, &#x27;1992-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1993-06-01T00:00:00.000000000&#x27;, &#x27;1993-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1993-07-01T00:00:00.000000000&#x27;, &#x27;1993-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1993-08-01T00:00:00.000000000&#x27;, &#x27;1993-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1993-09-01T00:00:00.000000000&#x27;, &#x27;1993-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1994-06-01T00:00:00.000000000&#x27;, &#x27;1994-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1994-07-01T00:00:00.000000000&#x27;, &#x27;1994-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1994-08-01T00:00:00.000000000&#x27;, &#x27;1994-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1994-09-01T00:00:00.000000000&#x27;, &#x27;1994-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1995-06-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1995-07-01T00:00:00.000000000&#x27;, &#x27;1995-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1995-08-01T00:00:00.000000000&#x27;, &#x27;1995-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1995-09-01T00:00:00.000000000&#x27;, &#x27;1995-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1996-06-01T00:00:00.000000000&#x27;, &#x27;1996-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1996-07-01T00:00:00.000000000&#x27;, &#x27;1996-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1996-08-01T00:00:00.000000000&#x27;, &#x27;1996-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1996-09-01T00:00:00.000000000&#x27;, &#x27;1996-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1997-06-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1997-07-01T00:00:00.000000000&#x27;, &#x27;1997-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1997-08-01T00:00:00.000000000&#x27;, &#x27;1997-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1997-09-01T00:00:00.000000000&#x27;, &#x27;1997-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-07-01T00:00:00.000000000&#x27;, &#x27;1998-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-09-01T00:00:00.000000000&#x27;, &#x27;1998-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-07-01T00:00:00.000000000&#x27;, &#x27;1999-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-09-01T00:00:00.000000000&#x27;, &#x27;1999-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-07-01T00:00:00.000000000&#x27;, &#x27;2000-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-09-01T00:00:00.000000000&#x27;, &#x27;2000-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-07-01T00:00:00.000000000&#x27;, &#x27;2001-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-09-01T00:00:00.000000000&#x27;, &#x27;2001-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-07-01T00:00:00.000000000&#x27;, &#x27;2002-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-09-01T00:00:00.000000000&#x27;, &#x27;2002-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-07-01T00:00:00.000000000&#x27;, &#x27;2003-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-09-01T00:00:00.000000000&#x27;, &#x27;2003-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-07-01T00:00:00.000000000&#x27;, &#x27;2004-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-09-01T00:00:00.000000000&#x27;, &#x27;2004-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-09-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#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-bc5f9a7a-da49-4112-a885-b8a2fa9bdc3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc5f9a7a-da49-4112-a885-b8a2fa9bdc3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06f4761e-b20b-44d7-8d0b-f77f3146acc1' class='xr-var-data-in' type='checkbox'><label for='data-06f4761e-b20b-44d7-8d0b-f77f3146acc1' 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>[128000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ca059ff-2bac-4480-889e-558c8e9c813f' class='xr-section-summary-in' type='checkbox'  ><label for='section-0ca059ff-2bac-4480-889e-558c8e9c813f' 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>Thu Jul 07 17:15:56 2022: cdo remapnn,grid.des mpiesm_pr_197001-200512.nc mpi_remap.nc\n",
       "Mon Jun 27 15:35:42 2022: cdo mergetime pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc mpiesm_pr_197001-200512.nc\n",
       "2019-05-16 03:08:44 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 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>2019-09-13T16:14:09Z</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>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>83ebbad8-8c3d-11e9-81e7-7845c4fae25e</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>MP_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MP_85</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> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>24.0</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>288.0</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>historical</dd><dt><span>driving_experiment :</span></dt><dd>MPI-M-MPI-ESM-MR, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MPI-M-MPI-ESM-MR</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</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: 100, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2005-09-16\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 ... 2005-10-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:15:56 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 15,
     "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": 16,
   "id": "be94f5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jjas_data.x.values\n",
    "#jjas_data.y.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a41e4a60",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(x=slice(1000000.,5275000.),y=slice(2000000.,4175000.))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[6.9274342e-05, 7.1178903e-05, 7.4033363e-05, ..., 7.0084214e-05,\n",
       "        4.4622648e-05, 3.6873360e-05],\n",
       "       [6.7491041e-05, 6.8580179e-05, 6.9719739e-05, ..., 7.9002326e-05,\n",
       "        5.2030860e-05, 4.4670858e-05],\n",
       "       [6.3484134e-05, 6.5173997e-05, 6.5955959e-05, ..., 9.9189958e-05,\n",
       "        5.9083417e-05, 5.6784571e-05],\n",
       "       ...,\n",
       "       [1.6982315e-04, 1.8295158e-04, 1.9779867e-04, ..., 1.9406591e-04,\n",
       "        2.0854187e-04, 1.7648423e-04],\n",
       "       [1.6972734e-04, 1.7873672e-04, 2.0997610e-04, ..., 1.8433477e-04,\n",
       "        2.3208171e-04, 2.3971204e-04],\n",
       "       [1.8994648e-04, 3.1547513e-04, 4.6368729e-04, ..., 1.8041603e-04,\n",
       "        2.4548615e-04, 2.7364705e-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-a03e8e6b-3cd6-4846-8b10-7de4c8c63089' class='xr-array-in' type='checkbox' checked><label for='section-a03e8e6b-3cd6-4846-8b10-7de4c8c63089' 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>6.927e-05 7.118e-05 7.403e-05 ... 0.0001804 0.0002455 0.0002736</span></div><div class='xr-array-data'><pre>array([[6.9274342e-05, 7.1178903e-05, 7.4033363e-05, ..., 7.0084214e-05,\n",
       "        4.4622648e-05, 3.6873360e-05],\n",
       "       [6.7491041e-05, 6.8580179e-05, 6.9719739e-05, ..., 7.9002326e-05,\n",
       "        5.2030860e-05, 4.4670858e-05],\n",
       "       [6.3484134e-05, 6.5173997e-05, 6.5955959e-05, ..., 9.9189958e-05,\n",
       "        5.9083417e-05, 5.6784571e-05],\n",
       "       ...,\n",
       "       [1.6982315e-04, 1.8295158e-04, 1.9779867e-04, ..., 1.9406591e-04,\n",
       "        2.0854187e-04, 1.7648423e-04],\n",
       "       [1.6972734e-04, 1.7873672e-04, 2.0997610e-04, ..., 1.8433477e-04,\n",
       "        2.3208171e-04, 2.3971204e-04],\n",
       "       [1.8994648e-04, 3.1547513e-04, 4.6368729e-04, ..., 1.8041603e-04,\n",
       "        2.4548615e-04, 2.7364705e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-00c237c3-b4ee-4972-adef-934118ace370' class='xr-section-summary-in' type='checkbox'  checked><label for='section-00c237c3-b4ee-4972-adef-934118ace370' 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-fe3019d3-f589-4449-a4e2-27ee31cd08fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe3019d3-f589-4449-a4e2-27ee31cd08fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5299f89a-3e94-4085-92f5-1cf47bb9d147' class='xr-var-data-in' type='checkbox'><label for='data-5299f89a-3e94-4085-92f5-1cf47bb9d147' 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-def173a4-ec22-4c4f-81fd-3df3b455c509' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-def173a4-ec22-4c4f-81fd-3df3b455c509' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1eb15dd0-ee96-46a4-bb3a-8e140e3cde8d' class='xr-var-data-in' type='checkbox'><label for='data-1eb15dd0-ee96-46a4-bb3a-8e140e3cde8d' 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-ff71261b-b6d1-4ea8-a9a3-2184647380f3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ff71261b-b6d1-4ea8-a9a3-2184647380f3' 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([[6.9274342e-05, 7.1178903e-05, 7.4033363e-05, ..., 7.0084214e-05,\n",
       "        4.4622648e-05, 3.6873360e-05],\n",
       "       [6.7491041e-05, 6.8580179e-05, 6.9719739e-05, ..., 7.9002326e-05,\n",
       "        5.2030860e-05, 4.4670858e-05],\n",
       "       [6.3484134e-05, 6.5173997e-05, 6.5955959e-05, ..., 9.9189958e-05,\n",
       "        5.9083417e-05, 5.6784571e-05],\n",
       "       ...,\n",
       "       [1.6982315e-04, 1.8295158e-04, 1.9779867e-04, ..., 1.9406591e-04,\n",
       "        2.0854187e-04, 1.7648423e-04],\n",
       "       [1.6972734e-04, 1.7873672e-04, 2.0997610e-04, ..., 1.8433477e-04,\n",
       "        2.3208171e-04, 2.3971204e-04],\n",
       "       [1.8994648e-04, 3.1547513e-04, 4.6368729e-04, ..., 1.8041603e-04,\n",
       "        2.4548615e-04, 2.7364705e-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": 18,
     "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": 19,
   "id": "6f88bd72",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[ 5.98530311,  6.14985726,  6.39648261, ...,  6.05527607,\n",
       "         3.85539676,  3.1858583 ],\n",
       "       [ 5.83122591,  5.92532745,  6.02378547, ...,  6.82580096,\n",
       "         4.49546634,  3.85956215],\n",
       "       [ 5.48502922,  5.63103338,  5.69859487, ...,  8.57001236,\n",
       "         5.10480723,  4.90618693],\n",
       "       ...,\n",
       "       [14.67272015, 15.80701671, 17.08980496, ..., 16.76729489,\n",
       "        18.01801734, 15.24823755],\n",
       "       [14.66444219, 15.44285277, 18.14193539, ..., 15.92652421,\n",
       "        20.05186016, 20.71112031],\n",
       "       [16.41137623, 27.25705141, 40.06258193, ..., 15.58794477,\n",
       "        21.21000364, 23.64310501]])\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-62db93f4-d572-4f98-b557-1e89b15ec8cd' class='xr-array-in' type='checkbox' checked><label for='section-62db93f4-d572-4f98-b557-1e89b15ec8cd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.985 6.15 6.396 6.546 6.698 6.949 ... 22.87 17.43 15.59 21.21 23.64</span></div><div class='xr-array-data'><pre>array([[ 5.98530311,  6.14985726,  6.39648261, ...,  6.05527607,\n",
       "         3.85539676,  3.1858583 ],\n",
       "       [ 5.83122591,  5.92532745,  6.02378547, ...,  6.82580096,\n",
       "         4.49546634,  3.85956215],\n",
       "       [ 5.48502922,  5.63103338,  5.69859487, ...,  8.57001236,\n",
       "         5.10480723,  4.90618693],\n",
       "       ...,\n",
       "       [14.67272015, 15.80701671, 17.08980496, ..., 16.76729489,\n",
       "        18.01801734, 15.24823755],\n",
       "       [14.66444219, 15.44285277, 18.14193539, ..., 15.92652421,\n",
       "        20.05186016, 20.71112031],\n",
       "       [16.41137623, 27.25705141, 40.06258193, ..., 15.58794477,\n",
       "        21.21000364, 23.64310501]])</pre></div></div></li><li class='xr-section-item'><input id='section-0f0c6002-6772-473d-aea0-22e108e21e4c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0f0c6002-6772-473d-aea0-22e108e21e4c' 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-434748e3-aeb0-425f-8866-665a5cfb4995' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-434748e3-aeb0-425f-8866-665a5cfb4995' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bc6622b-234c-4653-966e-14752aca5b84' class='xr-var-data-in' type='checkbox'><label for='data-6bc6622b-234c-4653-966e-14752aca5b84' 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-3df3e301-eadb-4029-a1ab-11612883ad77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3df3e301-eadb-4029-a1ab-11612883ad77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44184557-a648-4715-9130-0d4c987f818e' class='xr-var-data-in' type='checkbox'><label for='data-44184557-a648-4715-9130-0d4c987f818e' 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-61347a07-cda1-4687-b023-a59e7521ce40' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-61347a07-cda1-4687-b023-a59e7521ce40' 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([[ 5.98530311,  6.14985726,  6.39648261, ...,  6.05527607,\n",
       "         3.85539676,  3.1858583 ],\n",
       "       [ 5.83122591,  5.92532745,  6.02378547, ...,  6.82580096,\n",
       "         4.49546634,  3.85956215],\n",
       "       [ 5.48502922,  5.63103338,  5.69859487, ...,  8.57001236,\n",
       "         5.10480723,  4.90618693],\n",
       "       ...,\n",
       "       [14.67272015, 15.80701671, 17.08980496, ..., 16.76729489,\n",
       "        18.01801734, 15.24823755],\n",
       "       [14.66444219, 15.44285277, 18.14193539, ..., 15.92652421,\n",
       "        20.05186016, 20.71112031],\n",
       "       [16.41137623, 27.25705141, 40.06258193, ..., 15.58794477,\n",
       "        21.21000364, 23.64310501]])\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": [
    "mpi = jjas_mean*86400\n",
    "mpi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "\n",
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       "}\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,  5.68580021,  6.79718589, ...,  8.28588488,\n",
       "         8.1496061 ,         nan],\n",
       "       [        nan,  6.84903738, 10.98248008, ...,  8.3989652 ,\n",
       "        11.38519005,         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-8f941500-025e-493a-9b1a-205718d808fe' class='xr-array-in' type='checkbox' checked><label for='section-8f941500-025e-493a-9b1a-205718d808fe' 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,  5.68580021,  6.79718589, ...,  8.28588488,\n",
       "         8.1496061 ,         nan],\n",
       "       [        nan,  6.84903738, 10.98248008, ...,  8.3989652 ,\n",
       "        11.38519005,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-b3ac24ab-3de9-4284-b88b-a154b9b42c8c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b3ac24ab-3de9-4284-b88b-a154b9b42c8c' 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-5350310b-0c9a-4ec1-a19a-b1e85a6c3f6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5350310b-0c9a-4ec1-a19a-b1e85a6c3f6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5fa818c-4245-4550-a964-d9dd0d434ac6' class='xr-var-data-in' type='checkbox'><label for='data-f5fa818c-4245-4550-a964-d9dd0d434ac6' 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-05476384-008d-462d-8e72-cd6e2bcc855f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05476384-008d-462d-8e72-cd6e2bcc855f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e45dda24-70aa-48f6-8759-54d78421aee3' class='xr-var-data-in' type='checkbox'><label for='data-e45dda24-70aa-48f6-8759-54d78421aee3' 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-7105ce10-b7c5-4ec7-890f-d344b8869320' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7105ce10-b7c5-4ec7-890f-d344b8869320' 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,  5.68580021,  6.79718589, ...,  8.28588488,\n",
       "         8.1496061 ,         nan],\n",
       "       [        nan,  6.84903738, 10.98248008, ...,  8.3989652 ,\n",
       "        11.38519005,         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": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias = mpi - cru\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "}\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,  56.17704366,  66.03941962, ...,  97.69466232,\n",
       "         82.5827572 ,          nan],\n",
       "       [         nan,  79.69728313, 153.39826294, ..., 111.57621218,\n",
       "        131.36752522,          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-aa6c7cbc-e8eb-48c2-ad17-8593abb1e286' class='xr-array-in' type='checkbox' checked><label for='section-aa6c7cbc-e8eb-48c2-ad17-8593abb1e286' 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,  56.17704366,  66.03941962, ...,  97.69466232,\n",
       "         82.5827572 ,          nan],\n",
       "       [         nan,  79.69728313, 153.39826294, ..., 111.57621218,\n",
       "        131.36752522,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-6b3d73c6-50d5-4aec-8df4-5fd297c6b859' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6b3d73c6-50d5-4aec-8df4-5fd297c6b859' 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-94acfdba-e0a0-40e1-b8b3-184ed074a184' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94acfdba-e0a0-40e1-b8b3-184ed074a184' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bdeb90d-1364-4c25-a640-835da4619578' class='xr-var-data-in' type='checkbox'><label for='data-5bdeb90d-1364-4c25-a640-835da4619578' 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-ea5f98e9-74a1-4a43-a9b8-61dcbd9df90f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea5f98e9-74a1-4a43-a9b8-61dcbd9df90f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73408205-2f82-45c1-baf9-a1b4b096f28b' class='xr-var-data-in' type='checkbox'><label for='data-73408205-2f82-45c1-baf9-a1b4b096f28b' 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-b0383290-be35-43f6-9ffd-64b3b3cbef24' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b0383290-be35-43f6-9ffd-64b3b3cbef24' 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,  56.17704366,  66.03941962, ...,  97.69466232,\n",
       "         82.5827572 ,          nan],\n",
       "       [         nan,  79.69728313, 153.39826294, ..., 111.57621218,\n",
       "        131.36752522,          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": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias_percentage = ((mpi - cru)/cru)*100\n",
    "bias_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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",
    "plt.rcParams['font.size'] = '16'\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",
    "\n",
    "\n",
    "plt.title('Seasonal Bias(RegCM MPI-CRU)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(mpi-cru).png\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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",
    " \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(RegCM MPI-CRU)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(mpi-cru).png\")\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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": 24,
     "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'''"
   ]
  },
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   "execution_count": null,
   "id": "21be7cc5",
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   "execution_count": null,
   "id": "71f9d4d3",
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