bd_pr_ensemble_avg.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\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 432, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) object 1970-01-16 12:00:00 ... 2005-12-16 12:00:00\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 21 14:08:02 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\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-14d7b300-ec30-4113-ab72-b0a5117df326' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-14d7b300-ec30-4113-ab72-b0a5117df326' 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'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dbfc7289-68b3-4757-a605-e00e147a38cb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dbfc7289-68b3-4757-a605-e00e147a38cb' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1970-01-16 12:00:00 ... 2005-12-...</div><input id='attrs-4dc7725e-86bb-40eb-acb5-479fc44c6343' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dc7725e-86bb-40eb-acb5-479fc44c6343' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01c10858-266e-4cfc-8943-27083ee5832e' class='xr-var-data-in' type='checkbox'><label for='data-01c10858-266e-4cfc-8943-27083ee5832e' 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([cftime.DatetimeNoLeap(1970, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1970, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1970, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeNoLeap(2005, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2005, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2005, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6162e272-e91d-4ee0-8131-a7dc8ac410d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6162e272-e91d-4ee0-8131-a7dc8ac410d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-861322dd-7b77-4361-8be1-70932664a87a' class='xr-var-data-in' type='checkbox'><label for='data-861322dd-7b77-4361-8be1-70932664a87a' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d405ddcd-18a3-41b6-82ec-72d5a7fc535e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d405ddcd-18a3-41b6-82ec-72d5a7fc535e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37697b8a-5899-47d0-bc83-48a3b5c29999' class='xr-var-data-in' type='checkbox'><label for='data-37697b8a-5899-47d0-bc83-48a3b5c29999' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-ba934ff9-7091-4d81-9787-da9d8849480a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba934ff9-7091-4d81-9787-da9d8849480a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46b7eec7-a1d2-418f-a4f0-153d2c36ae58' class='xr-var-data-in' type='checkbox'><label for='data-46b7eec7-a1d2-418f-a4f0-153d2c36ae58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-0cc6680b-987d-44b3-b9b8-9a4e36ff2c32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cc6680b-987d-44b3-b9b8-9a4e36ff2c32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1fcc026-9a28-4f3d-b5c7-3cf754ecd9bd' class='xr-var-data-in' type='checkbox'><label for='data-f1fcc026-9a28-4f3d-b5c7-3cf754ecd9bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-05439b51-054d-41e9-b2a1-46870ac33721' class='xr-section-summary-in' type='checkbox'  checked><label for='section-05439b51-054d-41e9-b2a1-46870ac33721' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fcf9a484-7605-4621-8ce1-7ada6fdae325' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fcf9a484-7605-4621-8ce1-7ada6fdae325' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3555d612-e268-4880-b2ec-a57d716adace' class='xr-var-data-in' type='checkbox'><label for='data-3555d612-e268-4880-b2ec-a57d716adace' 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([[cftime.DatetimeNoLeap(1970, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-036f6f05-b021-4c52-9c58-2cab99b7d4bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-036f6f05-b021-4c52-9c58-2cab99b7d4bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80702b45-13e5-405c-8e07-59930c6877f6' class='xr-var-data-in' type='checkbox'><label for='data-80702b45-13e5-405c-8e07-59930c6877f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9094f82c-fc6d-4a85-bfb6-a1cc1a9a8781' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9094f82c-fc6d-4a85-bfb6-a1cc1a9a8781' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49c58226-d3d0-4ec6-82f4-8ec107adee5a' class='xr-var-data-in' type='checkbox'><label for='data-49c58226-d3d0-4ec6-82f4-8ec107adee5a' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[62455536 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8d645798-7259-4cf6-8028-ac5619536df5' class='xr-section-summary-in' type='checkbox'  ><label for='section-8d645798-7259-4cf6-8028-ac5619536df5' 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 21 14:08:02 2022: cdo divc,3 final.nc regcmensble.nc\n",
       "Thu Jul 21 14:06:30 2022: cdo -add miroc5_pr_197001-200512.nc -add mpiesm_pr_197001-200512.nc noresm_pr_197001-200512.nc final.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : 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>2019-09-12T16:23:22Z</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>635194b8-8309-11e9-827b-f04da273f023</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>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_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> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean 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       "<xarray.Dataset>\n",
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       "  * time       (time) object 1970-01-16 12:00:00 ... 2005-12-16 12:00:00\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object ...\n",
       "    crs        |S1 ...\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 21 14:08:02 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
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     },
     "execution_count": 2,
     "metadata": {},
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   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/ensemble-average/regcmensble.nc')\n",
    " \n",
    "data"
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  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mkibria/miniconda3/envs/esp-sp/lib/python3.9/site-packages/xarray/coding/times.py:351: FutureWarning: Index.ravel returning ndarray is deprecated; in a future version this will return a view on self.\n",
      "  sample = dates.ravel()[0]\n",
      "/tmp/ipykernel_29760/1463838701.py:3: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, 'noleap', to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 432, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 21 14:08:02 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\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-b589e9da-8e0e-484f-9cdd-187c9cfe9893' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b589e9da-8e0e-484f-9cdd-187c9cfe9893' 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'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-83841594-1099-436b-b430-11a8864039f6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-83841594-1099-436b-b430-11a8864039f6' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-a5960157-01e8-40f1-88e4-6e670d31984c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a5960157-01e8-40f1-88e4-6e670d31984c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec0398f5-3045-4b30-a0ec-14260f6de687' class='xr-var-data-in' type='checkbox'><label for='data-ec0398f5-3045-4b30-a0ec-14260f6de687' 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;1970-01-16T12:00:00.000000000&#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>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9ac15780-4fa7-4573-863f-ffebfcd917f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ac15780-4fa7-4573-863f-ffebfcd917f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3a796b4-aa1f-4911-b9e1-afd8dfbb17ed' class='xr-var-data-in' type='checkbox'><label for='data-d3a796b4-aa1f-4911-b9e1-afd8dfbb17ed' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d8ffc87-8440-4ba9-9dee-4717e5591109' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d8ffc87-8440-4ba9-9dee-4717e5591109' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0786741-3fc0-4b39-b06f-24d1db59ed9c' class='xr-var-data-in' type='checkbox'><label for='data-d0786741-3fc0-4b39-b06f-24d1db59ed9c' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-8f0495f9-e138-4f87-9314-b7e7e81b1c86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f0495f9-e138-4f87-9314-b7e7e81b1c86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31a22bb0-0525-43e1-af54-c95a1596bf30' class='xr-var-data-in' type='checkbox'><label for='data-31a22bb0-0525-43e1-af54-c95a1596bf30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-6319d1a3-9468-455c-9e5c-3052677dde21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6319d1a3-9468-455c-9e5c-3052677dde21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5730c68f-3090-4e7d-b484-3b14704adf77' class='xr-var-data-in' type='checkbox'><label for='data-5730c68f-3090-4e7d-b484-3b14704adf77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f279ef2-88d4-4c80-b3b4-90f927e65684' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5f279ef2-88d4-4c80-b3b4-90f927e65684' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1970-01-01 00:00:00 ... 2006-01-...</div><input id='attrs-8bf655b0-7101-4c84-9691-1ae8e2cbb246' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8bf655b0-7101-4c84-9691-1ae8e2cbb246' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f199e649-3356-4596-8c24-bdf44ca6fb6a' class='xr-var-data-in' type='checkbox'><label for='data-f199e649-3356-4596-8c24-bdf44ca6fb6a' 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([[cftime.DatetimeNoLeap(1970, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>b&#x27;&#x27;</div><input id='attrs-3af7383b-af1e-454f-8cb3-6311efa5cd74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3af7383b-af1e-454f-8cb3-6311efa5cd74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d186fdd6-d374-44ab-879c-967753d11b21' class='xr-var-data-in' type='checkbox'><label for='data-d186fdd6-d374-44ab-879c-967753d11b21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b5b172b8-251a-4021-ac80-248117060728' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5b172b8-251a-4021-ac80-248117060728' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d0461c8-136b-419c-a8bb-5bda60d423b4' class='xr-var-data-in' type='checkbox'><label for='data-7d0461c8-136b-419c-a8bb-5bda60d423b4' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[62455536 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e2dbf68-3ec5-482e-ad0e-afec12996588' class='xr-section-summary-in' type='checkbox'  ><label for='section-1e2dbf68-3ec5-482e-ad0e-afec12996588' 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 21 14:08:02 2022: cdo divc,3 final.nc regcmensble.nc\n",
       "Thu Jul 21 14:06:30 2022: cdo -add miroc5_pr_197001-200512.nc -add mpiesm_pr_197001-200512.nc noresm_pr_197001-200512.nc final.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : 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>2019-09-12T16:23:22Z</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>635194b8-8309-11e9-827b-f04da273f023</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>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_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> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</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: 432, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    crs        |S1 b''\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 21 14:08:02 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#changing time dim to datetime64[ns] dtype\n",
    "\n",
    "datetimeindex = data.indexes['time'].to_datetimeindex()\n",
    "data['time']=datetimeindex\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 311, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2005-11-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1980-01-01 00:00:00 ... 2005-12-01 00:00:00\n",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 21 14:08:02 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\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-70c90a14-add0-4e0e-9448-a442879ce645' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-70c90a14-add0-4e0e-9448-a442879ce645' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 311</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-07714ed3-a306-4501-8320-e79eb8470161' class='xr-section-summary-in' type='checkbox'  checked><label for='section-07714ed3-a306-4501-8320-e79eb8470161' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-01-16T12:00:00 ... 2005-11-16</div><input id='attrs-523ed4aa-b121-4dc5-b1b8-512e0b939d34' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-523ed4aa-b121-4dc5-b1b8-512e0b939d34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7921a825-fad4-45b4-a18c-5348c6f68ac5' class='xr-var-data-in' type='checkbox'><label for='data-7921a825-fad4-45b4-a18c-5348c6f68ac5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1980-01-16T12:00:00.000000000&#x27;, &#x27;1980-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1980-03-16T12:00:00.000000000&#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>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a87e3fc1-2e9b-42d3-8af7-13c2741db40e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a87e3fc1-2e9b-42d3-8af7-13c2741db40e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0315c561-908d-41d6-8b25-e50898b5802c' class='xr-var-data-in' type='checkbox'><label for='data-0315c561-908d-41d6-8b25-e50898b5802c' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36bc08ba-f008-425a-a1f6-5c4d1f6dd344' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36bc08ba-f008-425a-a1f6-5c4d1f6dd344' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6d04e51-2296-4620-8923-df1dc38dcace' class='xr-var-data-in' type='checkbox'><label for='data-f6d04e51-2296-4620-8923-df1dc38dcace' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-68ad99d7-42c2-4d60-95c5-b9822d552fb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68ad99d7-42c2-4d60-95c5-b9822d552fb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb7cea25-7dc6-4e72-9f76-0b1db386998b' class='xr-var-data-in' type='checkbox'><label for='data-bb7cea25-7dc6-4e72-9f76-0b1db386998b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-c0f9fc74-de90-436b-9c99-aa029ea669ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0f9fc74-de90-436b-9c99-aa029ea669ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5a09345-ccfa-4312-ae0c-891b1b9765b7' class='xr-var-data-in' type='checkbox'><label for='data-e5a09345-ccfa-4312-ae0c-891b1b9765b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3e153dee-8c30-4806-bce8-2b4c959afb9c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3e153dee-8c30-4806-bce8-2b4c959afb9c' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-01-01 00:00:00 ... 2005-12-...</div><input id='attrs-5245f879-261e-4e56-a507-f9d8d7a173da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5245f879-261e-4e56-a507-f9d8d7a173da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9af22767-3b66-497d-8c06-e377f29bd133' class='xr-var-data-in' type='checkbox'><label for='data-9af22767-3b66-497d-8c06-e377f29bd133' 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([[cftime.DatetimeNoLeap(1980, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1980, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1980, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1980, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1980, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1980, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>b&#x27;&#x27;</div><input id='attrs-3216958c-4125-4b0e-bc4a-9c0564870666' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3216958c-4125-4b0e-bc4a-9c0564870666' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8192f1ae-fffc-4f63-bed5-21e7d6ae25a7' class='xr-var-data-in' type='checkbox'><label for='data-8192f1ae-fffc-4f63-bed5-21e7d6ae25a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0319d6c8-a2b0-4a48-8fd8-5a38999cae52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0319d6c8-a2b0-4a48-8fd8-5a38999cae52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1929cff-93e1-4bdd-8d64-b53c2021835e' class='xr-var-data-in' type='checkbox'><label for='data-a1929cff-93e1-4bdd-8d64-b53c2021835e' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[44962203 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-34e8e570-b384-4e45-8e3d-62ed2b540c03' class='xr-section-summary-in' type='checkbox'  ><label for='section-34e8e570-b384-4e45-8e3d-62ed2b540c03' 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 21 14:08:02 2022: cdo divc,3 final.nc regcmensble.nc\n",
       "Thu Jul 21 14:06:30 2022: cdo -add miroc5_pr_197001-200512.nc -add mpiesm_pr_197001-200512.nc noresm_pr_197001-200512.nc final.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : 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>2019-09-12T16:23:22Z</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>635194b8-8309-11e9-827b-f04da273f023</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>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_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> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</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: 311, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2005-11-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1980-01-01 00:00:00 ... 2005-12-01 00:00:00\n",
       "    crs        |S1 b''\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 21 14:08:02 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1980-01-16T12:00:00.000000000','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 104, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2005-09-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1980-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 21 14:08:02 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\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-d17bfd07-c049-4b8a-aec1-0c17110653d6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d17bfd07-c049-4b8a-aec1-0c17110653d6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 104</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4e5eeaab-cd58-4c30-99bc-e19fb65a557c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4e5eeaab-cd58-4c30-99bc-e19fb65a557c' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-06-16 ... 2005-09-16</div><input id='attrs-5766e04f-b127-458a-80bc-d387611d2347' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5766e04f-b127-458a-80bc-d387611d2347' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63994181-ade5-4ffa-8fe4-327b6ba0fb22' class='xr-var-data-in' type='checkbox'><label for='data-63994181-ade5-4ffa-8fe4-327b6ba0fb22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1980-06-16T00:00:00.000000000&#x27;, &#x27;1980-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1980-08-16T12:00:00.000000000&#x27;, &#x27;1980-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;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>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-904e8642-6fb3-48ec-8a0b-ffa63cb5fdb7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-904e8642-6fb3-48ec-8a0b-ffa63cb5fdb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49f39f13-b11e-41ed-94ca-98b14c153ede' class='xr-var-data-in' type='checkbox'><label for='data-49f39f13-b11e-41ed-94ca-98b14c153ede' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-840dd4b0-e163-4ec1-8be2-86967e6254ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-840dd4b0-e163-4ec1-8be2-86967e6254ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a168f3a-59de-4a2e-807d-51fbb93a7b79' class='xr-var-data-in' type='checkbox'><label for='data-3a168f3a-59de-4a2e-807d-51fbb93a7b79' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-8f53e666-075d-4bc1-8ab5-0177837039cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f53e666-075d-4bc1-8ab5-0177837039cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20e08ba0-f81d-4d2a-8c8e-b331417b8fe5' class='xr-var-data-in' type='checkbox'><label for='data-20e08ba0-f81d-4d2a-8c8e-b331417b8fe5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-d7d78cdd-0860-43c4-9bdc-6bed082f1904' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7d78cdd-0860-43c4-9bdc-6bed082f1904' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4f6839f-520f-430e-a787-13bd34deeaa6' class='xr-var-data-in' type='checkbox'><label for='data-c4f6839f-520f-430e-a787-13bd34deeaa6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4fdaa08d-10b3-44ab-9ef1-2b6ce4985bfd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4fdaa08d-10b3-44ab-9ef1-2b6ce4985bfd' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-06-01 00:00:00 ... 2005-10-...</div><input id='attrs-d9fcdaa8-8f0b-49ca-a822-f6cded2cb4bb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d9fcdaa8-8f0b-49ca-a822-f6cded2cb4bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1236b0f-53eb-454d-ab1f-86cad2c34562' class='xr-var-data-in' type='checkbox'><label for='data-e1236b0f-53eb-454d-ab1f-86cad2c34562' 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([[cftime.DatetimeNoLeap(1980, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1980, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1980, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1980, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1980, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1980, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>b&#x27;&#x27;</div><input id='attrs-ea4311b2-6548-4daf-ba04-6de027b34dc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea4311b2-6548-4daf-ba04-6de027b34dc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0ac6ad0-2e4d-4eee-8d08-c004eb2591cb' class='xr-var-data-in' type='checkbox'><label for='data-d0ac6ad0-2e4d-4eee-8d08-c004eb2591cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7cf9d6aa-737d-4a10-b217-6d1be8b7cc8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cf9d6aa-737d-4a10-b217-6d1be8b7cc8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe559550-a7a7-4abb-a5ef-180581af8f21' class='xr-var-data-in' type='checkbox'><label for='data-fe559550-a7a7-4abb-a5ef-180581af8f21' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[15035592 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e26e34ff-e780-4bda-bc9c-9f9dab5a98fa' class='xr-section-summary-in' type='checkbox'  ><label for='section-e26e34ff-e780-4bda-bc9c-9f9dab5a98fa' 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 21 14:08:02 2022: cdo divc,3 final.nc regcmensble.nc\n",
       "Thu Jul 21 14:06:30 2022: cdo -add miroc5_pr_197001-200512.nc -add mpiesm_pr_197001-200512.nc noresm_pr_197001-200512.nc final.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : 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>2019-09-12T16:23:22Z</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>635194b8-8309-11e9-827b-f04da273f023</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>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_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> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</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: 104, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2005-09-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1980-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    crs        |S1 b''\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 21 14:08:02 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:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 5,
     "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": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data[\"pr\"][\"x\"][379:429].values\n",
    "#data[\"pr\"][\"y\"][237:337].values\n",
    "#data[\"pr\"][\"time\"].values\n",
    "#jjas_data[\"pr\"][\"lat\"][:].values\n",
    "\n",
    "#jjas_data[\"pr\"][\"lon\"][:].values\n",
    "\n",
    "\n",
    "#data[\"pr\"][\"x\"].values\n",
    "\n",
    "#data.x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data[\"pr\"][\"y\"][287:337].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(x=slice(4125000.,5350000.),y=slice(2975000.,4200000.))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[7.0653688e-05, 6.4666419e-05, 6.4611646e-05, ..., 8.0376034e-05,\n",
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       "        4.1399180e-04, 4.9346447e-04]], dtype=float32)\n",
       "Coordinates:\n",
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       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0411c1f2-9acd-4f50-bde5-672fc07ca036' class='xr-array-in' type='checkbox' checked><label for='section-0411c1f2-9acd-4f50-bde5-672fc07ca036' 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>7.065e-05 6.467e-05 6.461e-05 ... 0.0003723 0.000414 0.0004935</span></div><div class='xr-array-data'><pre>array([[7.0653688e-05, 6.4666419e-05, 6.4611646e-05, ..., 8.0376034e-05,\n",
       "        7.5220414e-05, 7.2200040e-05],\n",
       "       [6.2068291e-05, 5.0763465e-05, 5.0490988e-05, ..., 6.2688734e-05,\n",
       "        6.0327369e-05, 6.4345862e-05],\n",
       "       [6.2511390e-05, 4.7701513e-05, 4.1676311e-05, ..., 5.3478223e-05,\n",
       "        5.5975081e-05, 6.1404848e-05],\n",
       "       ...,\n",
       "       [2.3735555e-04, 1.4522087e-04, 9.3012932e-05, ..., 2.2747819e-04,\n",
       "        2.8940963e-04, 4.1488296e-04],\n",
       "       [2.6957813e-04, 1.5012221e-04, 1.0815492e-04, ..., 2.6823962e-04,\n",
       "        3.1088514e-04, 4.3101868e-04],\n",
       "       [2.9982597e-04, 2.2279457e-04, 1.4082120e-04, ..., 3.7230973e-04,\n",
       "        4.1399180e-04, 4.9346447e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-ae5cf57c-d486-4785-8605-ef3b62063654' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ae5cf57c-d486-4785-8605-ef3b62063654' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f2ccb64-3e81-4121-a6e0-dfa61798d3c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f2ccb64-3e81-4121-a6e0-dfa61798d3c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-068902d4-185b-4bbb-88df-d1a63fef2271' class='xr-var-data-in' type='checkbox'><label for='data-068902d4-185b-4bbb-88df-d1a63fef2271' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e35474f4-b083-4309-9b84-d2d39fb9260a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e35474f4-b083-4309-9b84-d2d39fb9260a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51377130-fc85-41cc-84ed-d04cbf26af60' class='xr-var-data-in' type='checkbox'><label for='data-51377130-fc85-41cc-84ed-d04cbf26af60' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-9ee497fc-f3c8-45d1-9742-b809ce650730' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ee497fc-f3c8-45d1-9742-b809ce650730' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d331f9dc-f003-4cc3-a827-bbf4e16895e3' class='xr-var-data-in' type='checkbox'><label for='data-d331f9dc-f003-4cc3-a827-bbf4e16895e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-4c33c3c6-83c5-491a-83e8-5bf4865a73f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c33c3c6-83c5-491a-83e8-5bf4865a73f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e0346e6-6dd8-47be-9229-81e1cb8cf44a' class='xr-var-data-in' type='checkbox'><label for='data-7e0346e6-6dd8-47be-9229-81e1cb8cf44a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0621f3e4-ca0c-46f6-861c-c7db349be149' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0621f3e4-ca0c-46f6-861c-c7db349be149' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (y: 337, x: 429)>\n",
       "array([[7.0653688e-05, 6.4666419e-05, 6.4611646e-05, ..., 8.0376034e-05,\n",
       "        7.5220414e-05, 7.2200040e-05],\n",
       "       [6.2068291e-05, 5.0763465e-05, 5.0490988e-05, ..., 6.2688734e-05,\n",
       "        6.0327369e-05, 6.4345862e-05],\n",
       "       [6.2511390e-05, 4.7701513e-05, 4.1676311e-05, ..., 5.3478223e-05,\n",
       "        5.5975081e-05, 6.1404848e-05],\n",
       "       ...,\n",
       "       [2.3735555e-04, 1.4522087e-04, 9.3012932e-05, ..., 2.2747819e-04,\n",
       "        2.8940963e-04, 4.1488296e-04],\n",
       "       [2.6957813e-04, 1.5012221e-04, 1.0815492e-04, ..., 2.6823962e-04,\n",
       "        3.1088514e-04, 4.3101868e-04],\n",
       "       [2.9982597e-04, 2.2279457e-04, 1.4082120e-04, ..., 3.7230973e-04,\n",
       "        4.1399180e-04, 4.9346447e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.pr.mean('time')\n",
    " \n",
    "jjas_mean "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The pr is given in kg m $^{-2}$  s $^{-1}$ so we have to convert it into mm/day.\n",
    "\n",
    "The formula is 1 kgm$^{-2}$ s$^{-1}$  = 86400 mm/day. \n",
    "\n",
    "so we have to divide pr value by 86400\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[ 6.10447868,  5.58717863,  5.58244621, ...,  6.94448934,\n",
       "         6.49904378,  6.23808349],\n",
       "       [ 5.36270037,  4.38596337,  4.36242133, ...,  5.41630662,\n",
       "         5.21228471,  5.55948252],\n",
       "       [ 5.40098408,  4.12141071,  3.60083323, ...,  4.62051847,\n",
       "         4.83624696,  5.30537884],\n",
       "       ...,\n",
       "       [20.50751927, 12.54708292,  8.0363173 , ..., 19.65411538,\n",
       "        25.00499161, 35.84588785],\n",
       "       [23.29155039, 12.9705593 ,  9.34458508, ..., 23.17590276,\n",
       "        26.86047591, 37.24001376],\n",
       "       [25.9049641 , 19.24945051, 12.16695146, ..., 32.16756089,\n",
       "        35.76889168, 42.63533   ]])\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2d77a20f-c4bd-4db4-a923-8cda97cdb3e8' class='xr-array-in' type='checkbox' checked><label for='section-2d77a20f-c4bd-4db4-a923-8cda97cdb3e8' 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>6.104 5.587 5.582 5.565 5.547 5.503 ... 30.06 30.24 32.17 35.77 42.64</span></div><div class='xr-array-data'><pre>array([[ 6.10447868,  5.58717863,  5.58244621, ...,  6.94448934,\n",
       "         6.49904378,  6.23808349],\n",
       "       [ 5.36270037,  4.38596337,  4.36242133, ...,  5.41630662,\n",
       "         5.21228471,  5.55948252],\n",
       "       [ 5.40098408,  4.12141071,  3.60083323, ...,  4.62051847,\n",
       "         4.83624696,  5.30537884],\n",
       "       ...,\n",
       "       [20.50751927, 12.54708292,  8.0363173 , ..., 19.65411538,\n",
       "        25.00499161, 35.84588785],\n",
       "       [23.29155039, 12.9705593 ,  9.34458508, ..., 23.17590276,\n",
       "        26.86047591, 37.24001376],\n",
       "       [25.9049641 , 19.24945051, 12.16695146, ..., 32.16756089,\n",
       "        35.76889168, 42.63533   ]])</pre></div></div></li><li class='xr-section-item'><input id='section-39031388-e9a3-4ecf-a526-e790a67b2f41' class='xr-section-summary-in' type='checkbox'  checked><label for='section-39031388-e9a3-4ecf-a526-e790a67b2f41' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9a54d075-3534-4ff4-8772-aea1e26d4977' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a54d075-3534-4ff4-8772-aea1e26d4977' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-315155d4-e127-406c-a2e5-5168af17d4d9' class='xr-var-data-in' type='checkbox'><label for='data-315155d4-e127-406c-a2e5-5168af17d4d9' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-83c06cfc-4cb3-4b93-9e68-3f2d5bdf0f4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83c06cfc-4cb3-4b93-9e68-3f2d5bdf0f4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f844e6e5-4f72-490e-9723-11e15e04f20f' class='xr-var-data-in' type='checkbox'><label for='data-f844e6e5-4f72-490e-9723-11e15e04f20f' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-dd3cc710-3f4c-4e40-801c-f1c5e3f1b075' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd3cc710-3f4c-4e40-801c-f1c5e3f1b075' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffab1d37-2755-4c75-8548-be35a12f5528' class='xr-var-data-in' type='checkbox'><label for='data-ffab1d37-2755-4c75-8548-be35a12f5528' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-0a12b4be-8c5f-4509-8536-505a3ba5bc68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a12b4be-8c5f-4509-8536-505a3ba5bc68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-455c63b0-27bc-46c5-9af7-e250fd31ad39' class='xr-var-data-in' type='checkbox'><label for='data-455c63b0-27bc-46c5-9af7-e250fd31ad39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cf8cca82-6b20-4da9-b008-f87f2f701615' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cf8cca82-6b20-4da9-b008-f87f2f701615' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (y: 337, x: 429)>\n",
       "array([[ 6.10447868,  5.58717863,  5.58244621, ...,  6.94448934,\n",
       "         6.49904378,  6.23808349],\n",
       "       [ 5.36270037,  4.38596337,  4.36242133, ...,  5.41630662,\n",
       "         5.21228471,  5.55948252],\n",
       "       [ 5.40098408,  4.12141071,  3.60083323, ...,  4.62051847,\n",
       "         4.83624696,  5.30537884],\n",
       "       ...,\n",
       "       [20.50751927, 12.54708292,  8.0363173 , ..., 19.65411538,\n",
       "        25.00499161, 35.84588785],\n",
       "       [23.29155039, 12.9705593 ,  9.34458508, ..., 23.17590276,\n",
       "        26.86047591, 37.24001376],\n",
       "       [25.9049641 , 19.24945051, 12.16695146, ..., 32.16756089,\n",
       "        35.76889168, 42.63533   ]])\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_mm = jjas_mean*86400\n",
    "pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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 with cartopy jjas_pr_mean\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    " \n",
    "m1 = ax.contourf(pr_mm['lon'][:], pr_mm['lat'][:],pr_mm,\n",
    "                 np.arange(1,35+1,5),transform = ccrs.PlateCarree(),cmap='YlGnBu',extend='both')\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "plt.colorbar(m1, orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'rain_rate mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    " \n",
    "\n",
    "plt.title('RegCM(ensemble avg) Mean jjas precip rate in mm/day', fontsize=15)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_ensemble avg_jjas_mean.png\")\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now I will plot the annual precipitation rate in mm/day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[2.8725085e-04, 2.5278248e-04, 2.4352437e-04, ..., 4.7964808e-05,\n",
       "        4.5057950e-05, 4.4914941e-05],\n",
       "       [2.5122109e-04, 1.9445388e-04, 1.8841254e-04, ..., 3.7903101e-05,\n",
       "        3.7304304e-05, 4.2004605e-05],\n",
       "       [2.6583381e-04, 2.1010953e-04, 1.7816284e-04, ..., 3.2981781e-05,\n",
       "        3.5658657e-05, 4.1304909e-05],\n",
       "       ...,\n",
       "       [1.7843599e-04, 1.2925664e-04, 1.0122780e-04, ..., 9.4130461e-05,\n",
       "        1.1893471e-04, 1.6912524e-04],\n",
       "       [2.1266036e-04, 1.3422464e-04, 1.1666456e-04, ..., 1.0993845e-04,\n",
       "        1.2713016e-04, 1.7489708e-04],\n",
       "       [2.4873164e-04, 1.8612827e-04, 1.4798263e-04, ..., 1.5051625e-04,\n",
       "        1.6822520e-04, 2.0075892e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 27.41 27.61 27.81 28.01 ... 125.8 126.1 126.3 126.6\n",
       "    lat      (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-19874d6d-daf2-479c-8bd2-88c72f54e2e3' class='xr-array-in' type='checkbox' checked><label for='section-19874d6d-daf2-479c-8bd2-88c72f54e2e3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0002873 0.0002528 0.0002435 ... 0.0001505 0.0001682 0.0002008</span></div><div class='xr-array-data'><pre>array([[2.8725085e-04, 2.5278248e-04, 2.4352437e-04, ..., 4.7964808e-05,\n",
       "        4.5057950e-05, 4.4914941e-05],\n",
       "       [2.5122109e-04, 1.9445388e-04, 1.8841254e-04, ..., 3.7903101e-05,\n",
       "        3.7304304e-05, 4.2004605e-05],\n",
       "       [2.6583381e-04, 2.1010953e-04, 1.7816284e-04, ..., 3.2981781e-05,\n",
       "        3.5658657e-05, 4.1304909e-05],\n",
       "       ...,\n",
       "       [1.7843599e-04, 1.2925664e-04, 1.0122780e-04, ..., 9.4130461e-05,\n",
       "        1.1893471e-04, 1.6912524e-04],\n",
       "       [2.1266036e-04, 1.3422464e-04, 1.1666456e-04, ..., 1.0993845e-04,\n",
       "        1.2713016e-04, 1.7489708e-04],\n",
       "       [2.4873164e-04, 1.8612827e-04, 1.4798263e-04, ..., 1.5051625e-04,\n",
       "        1.6822520e-04, 2.0075892e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-df4b0c99-a105-4aed-8ef1-21a8af607b5d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-df4b0c99-a105-4aed-8ef1-21a8af607b5d' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>27.41 27.61 27.81 ... 126.3 126.6</div><input id='attrs-572c469e-0a6a-40d6-b82b-992b40e78a42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-572c469e-0a6a-40d6-b82b-992b40e78a42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76a2cc06-9abf-4b87-b53d-21410bbf79d9' class='xr-var-data-in' type='checkbox'><label for='data-76a2cc06-9abf-4b87-b53d-21410bbf79d9' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>array([[ 27.408699,  27.609478,  27.810225, ..., 112.189774, 112.390526,\n",
       "        112.591301],\n",
       "       [ 27.37059 ,  27.571526,  27.77243 , ..., 112.22757 , 112.428474,\n",
       "        112.62941 ],\n",
       "       [ 27.332514,  27.533606,  27.734665, ..., 112.265335, 112.466393,\n",
       "        112.667488],\n",
       "       ...,\n",
       "       [ 13.538212,  13.783363,  14.028722, ..., 125.971275, 126.216637,\n",
       "        126.461784],\n",
       "       [ 13.480539,  13.725816,  13.971299, ..., 126.028702, 126.274185,\n",
       "        126.519463],\n",
       "       [ 13.42266 ,  13.66806 ,  13.91367 , ..., 126.086327, 126.33194 ,\n",
       "        126.577339]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-26.13 -26.1 -26.06 ... 43.33 43.28</div><input id='attrs-665dde68-ea81-4687-98de-69c83c51d9c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-665dde68-ea81-4687-98de-69c83c51d9c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d74750f-427a-4713-b952-a7088fa945b7' class='xr-var-data-in' type='checkbox'><label for='data-3d74750f-427a-4713-b952-a7088fa945b7' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>array([[-26.132492, -26.09833 , -26.064301, ..., -26.064301, -26.09833 ,\n",
       "        -26.132492],\n",
       "       [-25.952015, -25.917828, -25.883774, ..., -25.883774, -25.917828,\n",
       "        -25.952015],\n",
       "       [-25.771118, -25.736908, -25.702827, ..., -25.702827, -25.736908,\n",
       "        -25.771118],\n",
       "       ...,\n",
       "       [ 42.925686,  42.967781,  43.009754, ...,  43.009754,  42.967781,\n",
       "         42.925686],\n",
       "       [ 43.104904,  43.147026,  43.18903 , ...,  43.18903 ,  43.147026,\n",
       "         43.104904],\n",
       "       [ 43.283688,  43.32584 ,  43.36787 , ...,  43.36787 ,  43.32584 ,\n",
       "         43.283688]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-be92d2b3-65d9-4ec7-a672-35bfb018c9b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be92d2b3-65d9-4ec7-a672-35bfb018c9b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f91fff62-a168-44d2-9b24-552775edf86c' class='xr-var-data-in' type='checkbox'><label for='data-f91fff62-a168-44d2-9b24-552775edf86c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-01925d77-2e4c-4ba3-ac33-9335eb27aa65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01925d77-2e4c-4ba3-ac33-9335eb27aa65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99107a58-1e86-489a-bead-1ebb30e405b0' class='xr-var-data-in' type='checkbox'><label for='data-99107a58-1e86-489a-bead-1ebb30e405b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ed6bf7a-f314-4870-85a0-16041fd5a969' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7ed6bf7a-f314-4870-85a0-16041fd5a969' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (y: 337, x: 429)>\n",
       "array([[2.8725085e-04, 2.5278248e-04, 2.4352437e-04, ..., 4.7964808e-05,\n",
       "        4.5057950e-05, 4.4914941e-05],\n",
       "       [2.5122109e-04, 1.9445388e-04, 1.8841254e-04, ..., 3.7903101e-05,\n",
       "        3.7304304e-05, 4.2004605e-05],\n",
       "       [2.6583381e-04, 2.1010953e-04, 1.7816284e-04, ..., 3.2981781e-05,\n",
       "        3.5658657e-05, 4.1304909e-05],\n",
       "       ...,\n",
       "       [1.7843599e-04, 1.2925664e-04, 1.0122780e-04, ..., 9.4130461e-05,\n",
       "        1.1893471e-04, 1.6912524e-04],\n",
       "       [2.1266036e-04, 1.3422464e-04, 1.1666456e-04, ..., 1.0993845e-04,\n",
       "        1.2713016e-04, 1.7489708e-04],\n",
       "       [2.4873164e-04, 1.8612827e-04, 1.4798263e-04, ..., 1.5051625e-04,\n",
       "        1.6822520e-04, 2.0075892e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 27.41 27.61 27.81 28.01 ... 125.8 126.1 126.3 126.6\n",
       "    lat      (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annual_mean = data.pr.mean('time')\n",
    "annual_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[24.81847331, 21.84040658, 21.04050522, ...,  4.1441594 ,\n",
       "         3.89300688,  3.88065091],\n",
       "       [21.70550236, 16.80081538, 16.27884326, ...,  3.2748279 ,\n",
       "         3.22309186,  3.6291979 ],\n",
       "       [22.96804078, 18.15346344, 15.3932692 , ...,  2.8496259 ,\n",
       "         3.08090796,  3.56874416],\n",
       "       ...,\n",
       "       [15.41686971, 11.16777412,  8.74608199, ...,  8.1328718 ,\n",
       "        10.2759589 , 14.61242074],\n",
       "       [18.37385553, 11.59700886, 10.07981796, ...,  9.49868239,\n",
       "        10.98404573, 15.11110794],\n",
       "       [21.49041351, 16.08148213, 12.78569936, ..., 13.00460408,\n",
       "        14.53465763, 17.34557077]])\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 27.41 27.61 27.81 28.01 ... 125.8 126.1 126.3 126.6\n",
       "    lat      (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5691e769-524a-4f05-97c2-c938391b3b30' class='xr-array-in' type='checkbox' checked><label for='section-5691e769-524a-4f05-97c2-c938391b3b30' 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>24.82 21.84 21.04 20.43 20.53 20.78 ... 12.16 12.21 13.0 14.53 17.35</span></div><div class='xr-array-data'><pre>array([[24.81847331, 21.84040658, 21.04050522, ...,  4.1441594 ,\n",
       "         3.89300688,  3.88065091],\n",
       "       [21.70550236, 16.80081538, 16.27884326, ...,  3.2748279 ,\n",
       "         3.22309186,  3.6291979 ],\n",
       "       [22.96804078, 18.15346344, 15.3932692 , ...,  2.8496259 ,\n",
       "         3.08090796,  3.56874416],\n",
       "       ...,\n",
       "       [15.41686971, 11.16777412,  8.74608199, ...,  8.1328718 ,\n",
       "        10.2759589 , 14.61242074],\n",
       "       [18.37385553, 11.59700886, 10.07981796, ...,  9.49868239,\n",
       "        10.98404573, 15.11110794],\n",
       "       [21.49041351, 16.08148213, 12.78569936, ..., 13.00460408,\n",
       "        14.53465763, 17.34557077]])</pre></div></div></li><li class='xr-section-item'><input id='section-3a62649d-b64f-47e3-9c6b-d4976afab91f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3a62649d-b64f-47e3-9c6b-d4976afab91f' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>27.41 27.61 27.81 ... 126.3 126.6</div><input id='attrs-8f1ed7f5-e28b-4858-a822-9b4426bfb8b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f1ed7f5-e28b-4858-a822-9b4426bfb8b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82d35162-1340-41d2-a7a2-da23ead02cee' class='xr-var-data-in' type='checkbox'><label for='data-82d35162-1340-41d2-a7a2-da23ead02cee' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>array([[ 27.408699,  27.609478,  27.810225, ..., 112.189774, 112.390526,\n",
       "        112.591301],\n",
       "       [ 27.37059 ,  27.571526,  27.77243 , ..., 112.22757 , 112.428474,\n",
       "        112.62941 ],\n",
       "       [ 27.332514,  27.533606,  27.734665, ..., 112.265335, 112.466393,\n",
       "        112.667488],\n",
       "       ...,\n",
       "       [ 13.538212,  13.783363,  14.028722, ..., 125.971275, 126.216637,\n",
       "        126.461784],\n",
       "       [ 13.480539,  13.725816,  13.971299, ..., 126.028702, 126.274185,\n",
       "        126.519463],\n",
       "       [ 13.42266 ,  13.66806 ,  13.91367 , ..., 126.086327, 126.33194 ,\n",
       "        126.577339]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-26.13 -26.1 -26.06 ... 43.33 43.28</div><input id='attrs-a2bad097-5f9e-4dd5-9e0e-b531ef2b6368' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2bad097-5f9e-4dd5-9e0e-b531ef2b6368' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50bf497d-3afb-4684-805e-378f16804196' class='xr-var-data-in' type='checkbox'><label for='data-50bf497d-3afb-4684-805e-378f16804196' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>array([[-26.132492, -26.09833 , -26.064301, ..., -26.064301, -26.09833 ,\n",
       "        -26.132492],\n",
       "       [-25.952015, -25.917828, -25.883774, ..., -25.883774, -25.917828,\n",
       "        -25.952015],\n",
       "       [-25.771118, -25.736908, -25.702827, ..., -25.702827, -25.736908,\n",
       "        -25.771118],\n",
       "       ...,\n",
       "       [ 42.925686,  42.967781,  43.009754, ...,  43.009754,  42.967781,\n",
       "         42.925686],\n",
       "       [ 43.104904,  43.147026,  43.18903 , ...,  43.18903 ,  43.147026,\n",
       "         43.104904],\n",
       "       [ 43.283688,  43.32584 ,  43.36787 , ...,  43.36787 ,  43.32584 ,\n",
       "         43.283688]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-1e5e59f8-62b2-4abf-940c-35bb62b43246' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e5e59f8-62b2-4abf-940c-35bb62b43246' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70d82397-590e-4fd5-a7ff-7d1cc1e9b544' class='xr-var-data-in' type='checkbox'><label for='data-70d82397-590e-4fd5-a7ff-7d1cc1e9b544' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-b1cef557-d407-4d7c-a321-1564e7bdf88c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1cef557-d407-4d7c-a321-1564e7bdf88c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f61c31fb-bcdd-4ee7-8606-984f2a747437' class='xr-var-data-in' type='checkbox'><label for='data-f61c31fb-bcdd-4ee7-8606-984f2a747437' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c3a8beb7-8af5-4e8f-975a-f20ea5ba5a4d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c3a8beb7-8af5-4e8f-975a-f20ea5ba5a4d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (y: 337, x: 429)>\n",
       "array([[24.81847331, 21.84040658, 21.04050522, ...,  4.1441594 ,\n",
       "         3.89300688,  3.88065091],\n",
       "       [21.70550236, 16.80081538, 16.27884326, ...,  3.2748279 ,\n",
       "         3.22309186,  3.6291979 ],\n",
       "       [22.96804078, 18.15346344, 15.3932692 , ...,  2.8496259 ,\n",
       "         3.08090796,  3.56874416],\n",
       "       ...,\n",
       "       [15.41686971, 11.16777412,  8.74608199, ...,  8.1328718 ,\n",
       "        10.2759589 , 14.61242074],\n",
       "       [18.37385553, 11.59700886, 10.07981796, ...,  9.49868239,\n",
       "        10.98404573, 15.11110794],\n",
       "       [21.49041351, 16.08148213, 12.78569936, ..., 13.00460408,\n",
       "        14.53465763, 17.34557077]])\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 27.41 27.61 27.81 28.01 ... 125.8 126.1 126.3 126.6\n",
       "    lat      (y, x) float64 -26.13 -26.1 -26.06 -26.03 ... 43.37 43.33 43.28\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#converting from kgm-2s-2 to mm/day\n",
    "\n",
    "annual_pr_mm = annual_mean*86400\n",
    "annual_pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(annual_pr_mm['lon'], annual_pr_mm['lat'],annual_pr_mm,\n",
    "                 np.arange(1,35+1,5),transform = ccrs.PlateCarree(),cmap='YlGnBu',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1, orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "plt.title('RegCM(ensemble avg) Annual mean precip rate in mm/day', fontsize=15,fontweight='bold')\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_ensemble avg_annual_mean.png\")\n",
    "\n",
    "\n",
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