bd_pr_noresm.ipynb

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   "source": [
    "#writing some conda package or module\n",
    "#!pip install netCDF4\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#!pip install cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "from cartopy.util import add_cyclic_point\n"
   ]
  },
  {
   "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:                                         Mon Jun 27 15:36:42 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_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\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-33cdd5d4-7659-4238-ad9f-6eaeca4d0ff0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-33cdd5d4-7659-4238-ad9f-6eaeca4d0ff0' 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-7685d145-38ad-4e56-86ee-723d96edb74a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7685d145-38ad-4e56-86ee-723d96edb74a' 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-68a810af-d749-41ba-9ecf-74077fb01912' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68a810af-d749-41ba-9ecf-74077fb01912' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a7f8ecb-73da-4da2-bfec-be22b6987e0c' class='xr-var-data-in' type='checkbox'><label for='data-9a7f8ecb-73da-4da2-bfec-be22b6987e0c' 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-2f08694e-8511-40e4-a372-58207d3ffa04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f08694e-8511-40e4-a372-58207d3ffa04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-924f5bea-532d-4444-a208-f9eefb812b3e' class='xr-var-data-in' type='checkbox'><label for='data-924f5bea-532d-4444-a208-f9eefb812b3e' 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-56aed092-1eca-4b96-9c69-38c4b67a9ce7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56aed092-1eca-4b96-9c69-38c4b67a9ce7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6e94005-6be4-4e09-b037-88418ac38f94' class='xr-var-data-in' type='checkbox'><label for='data-d6e94005-6be4-4e09-b037-88418ac38f94' 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-e88f6fce-e3b8-4612-88aa-9b3932918f99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e88f6fce-e3b8-4612-88aa-9b3932918f99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6634bbc9-4d78-42f4-940c-17df694fecf3' class='xr-var-data-in' type='checkbox'><label for='data-6634bbc9-4d78-42f4-940c-17df694fecf3' 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-3f320415-3e78-4608-bf0d-3b057e0f9942' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f320415-3e78-4608-bf0d-3b057e0f9942' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd166ff5-c130-498d-88e4-e36a12ab3a09' class='xr-var-data-in' type='checkbox'><label for='data-dd166ff5-c130-498d-88e4-e36a12ab3a09' 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-8d62e363-2871-488c-9d0a-ac199a47c86d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8d62e363-2871-488c-9d0a-ac199a47c86d' 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-b89abd7b-ae98-4fcd-993e-5c2195499b45' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b89abd7b-ae98-4fcd-993e-5c2195499b45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47f10750-591a-4ea2-9d3f-bef7fc674534' class='xr-var-data-in' type='checkbox'><label for='data-47f10750-591a-4ea2-9d3f-bef7fc674534' 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-53ae595e-606e-4126-8dad-ab5b6b2a95d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53ae595e-606e-4126-8dad-ab5b6b2a95d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05e1cbe8-58af-4398-8994-1cc7ce21c83f' class='xr-var-data-in' type='checkbox'><label for='data-05e1cbe8-58af-4398-8994-1cc7ce21c83f' 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-20121465-72e3-4d09-994b-e5cdcffc1213' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20121465-72e3-4d09-994b-e5cdcffc1213' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a99e149f-6cec-47c1-82e3-ffd0b569b284' class='xr-var-data-in' type='checkbox'><label for='data-a99e149f-6cec-47c1-82e3-ffd0b569b284' 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-f2e007b5-0a34-4627-ae1d-efaacaefd51e' class='xr-section-summary-in' type='checkbox'  ><label for='section-f2e007b5-0a34-4627-ae1d-efaacaefd51e' 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>Mon Jun 27 15:36:42 2022: cdo mergetime pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc noresm_pr_197001-200512.nc\n",
       "2018-03-21 03:01:05 : 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>2019-09-19T16:13:52Z</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>e18baf90-8c3e-11e9-a8fd-f04da273d2fb</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>NO_85</dd><dt><span>model_sst_data_source :</span></dt><dd>NO_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>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_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>driving_experiment :</span></dt><dd>NCC-NorESM1-M, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>NCC-NorESM1-M</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
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       "<xarray.Dataset>\n",
       "Dimensions:    (time: 432, bnds: 2, 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 ...\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:                                         Mon Jun 27 15:36:42 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_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
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    }
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   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/NorESM1-M/noresm_pr_197001-200512.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_4053/3137857967.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",
      "  datetimeindex = data.indexes['time'].to_datetimeindex()\n"
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       "}\n",
       "</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:                                         Mon Jun 27 15:36:42 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_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\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-a3ea2ce8-1388-43dd-93b0-28f61dc366c6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a3ea2ce8-1388-43dd-93b0-28f61dc366c6' 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-851165e7-3c4d-4580-a079-00035bb86b63' class='xr-section-summary-in' type='checkbox'  checked><label for='section-851165e7-3c4d-4580-a079-00035bb86b63' 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-d7cfae5b-2c41-474e-8e5d-183fc13dfbc0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d7cfae5b-2c41-474e-8e5d-183fc13dfbc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c4e034a-ce30-446d-9f74-ef4a45a53e8d' class='xr-var-data-in' type='checkbox'><label for='data-2c4e034a-ce30-446d-9f74-ef4a45a53e8d' 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-0b7bd48d-4df5-4ec9-ab0b-02787321c278' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b7bd48d-4df5-4ec9-ab0b-02787321c278' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98e431a3-dd87-4613-8177-cbd2b12e32e6' class='xr-var-data-in' type='checkbox'><label for='data-98e431a3-dd87-4613-8177-cbd2b12e32e6' 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-6844c2d9-21fc-4ec6-adb6-1aaeee4fb882' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6844c2d9-21fc-4ec6-adb6-1aaeee4fb882' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbbaf34f-882d-4a28-a3f4-1a0aa1ea6e29' class='xr-var-data-in' type='checkbox'><label for='data-cbbaf34f-882d-4a28-a3f4-1a0aa1ea6e29' 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-ef484370-869b-4ceb-bd74-b177f2e11565' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef484370-869b-4ceb-bd74-b177f2e11565' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6fd19d9-220d-417d-aeae-a5bc2ae16ead' class='xr-var-data-in' type='checkbox'><label for='data-c6fd19d9-220d-417d-aeae-a5bc2ae16ead' 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-9e3a2bd5-3b92-4c31-8c32-57d4c0baa16e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e3a2bd5-3b92-4c31-8c32-57d4c0baa16e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a16a08bc-17e7-45e4-949f-dda1fb71840e' class='xr-var-data-in' type='checkbox'><label for='data-a16a08bc-17e7-45e4-949f-dda1fb71840e' 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-c7ebcbbf-ee87-4d16-86ad-77598fc23836' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c7ebcbbf-ee87-4d16-86ad-77598fc23836' 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-29d459eb-4840-49ab-9ace-1b92e644b168' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-29d459eb-4840-49ab-9ace-1b92e644b168' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c88c437-0928-4d8e-b467-76f7bec984c0' class='xr-var-data-in' type='checkbox'><label for='data-3c88c437-0928-4d8e-b467-76f7bec984c0' 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-ead7bad4-26fd-445b-bd8a-2a5d9dcf2f99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ead7bad4-26fd-445b-bd8a-2a5d9dcf2f99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1afd9f8-7d0b-4d59-83d4-a670c3501214' class='xr-var-data-in' type='checkbox'><label for='data-b1afd9f8-7d0b-4d59-83d4-a670c3501214' 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-0cc3f409-b5f0-4060-b581-26b182889c03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cc3f409-b5f0-4060-b581-26b182889c03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-986b2c6f-9b8e-4963-90e1-8a2e3ef94bc0' class='xr-var-data-in' type='checkbox'><label for='data-986b2c6f-9b8e-4963-90e1-8a2e3ef94bc0' 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-9443e83f-1c5a-4e6a-810f-634318c8351c' class='xr-section-summary-in' type='checkbox'  ><label for='section-9443e83f-1c5a-4e6a-810f-634318c8351c' 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>Mon Jun 27 15:36:42 2022: cdo mergetime pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc noresm_pr_197001-200512.nc\n",
       "2018-03-21 03:01:05 : 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>2019-09-19T16:13:52Z</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>e18baf90-8c3e-11e9-a8fd-f04da273d2fb</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>NO_85</dd><dt><span>model_sst_data_source :</span></dt><dd>NO_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>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_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>driving_experiment :</span></dt><dd>NCC-NorESM1-M, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>NCC-NorESM1-M</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:                                         Mon Jun 27 15:36:42 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_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\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\n"
   ]
  },
  {
   "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:                                         Mon Jun 27 15:36:42 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_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\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-16206789-90de-4b63-befd-928fd3c82c89' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-16206789-90de-4b63-befd-928fd3c82c89' 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-b9b1020f-258d-46b6-914c-20d93d9c91b8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b9b1020f-258d-46b6-914c-20d93d9c91b8' 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-1562532c-6190-4796-9a52-1169a79f1813' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1562532c-6190-4796-9a52-1169a79f1813' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0df874e-10ec-4ff9-a328-d54f6a643572' class='xr-var-data-in' type='checkbox'><label for='data-f0df874e-10ec-4ff9-a328-d54f6a643572' 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-44060cf9-d1ed-41d7-af0e-23544274e36c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44060cf9-d1ed-41d7-af0e-23544274e36c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61deae77-5c6c-4a63-9eda-5ed741e2343c' class='xr-var-data-in' type='checkbox'><label for='data-61deae77-5c6c-4a63-9eda-5ed741e2343c' 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-1dfe531d-a681-4596-91bf-bef4d5016875' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dfe531d-a681-4596-91bf-bef4d5016875' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39885e54-0931-4d5d-a0bb-eccc57b19d44' class='xr-var-data-in' type='checkbox'><label for='data-39885e54-0931-4d5d-a0bb-eccc57b19d44' 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-15454400-71f4-45ed-8871-62a0a5d53628' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15454400-71f4-45ed-8871-62a0a5d53628' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03e5eaae-2579-4ae7-8c6f-592c6c3e5791' class='xr-var-data-in' type='checkbox'><label for='data-03e5eaae-2579-4ae7-8c6f-592c6c3e5791' 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-31deaaf6-7f8b-4adb-aebb-3d005eff48ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31deaaf6-7f8b-4adb-aebb-3d005eff48ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6b2eef0-5894-4677-9f70-9660145b92c2' class='xr-var-data-in' type='checkbox'><label for='data-f6b2eef0-5894-4677-9f70-9660145b92c2' 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-e5140a52-cbf9-4967-b276-e3735f20344a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e5140a52-cbf9-4967-b276-e3735f20344a' 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-799a590b-2c74-4b64-bf8c-aab2562df636' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-799a590b-2c74-4b64-bf8c-aab2562df636' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5749c002-f22f-43a7-87d9-d46941942cab' class='xr-var-data-in' type='checkbox'><label for='data-5749c002-f22f-43a7-87d9-d46941942cab' 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-f7e56d86-bc8b-44fe-8023-cd7337505fdd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7e56d86-bc8b-44fe-8023-cd7337505fdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e502e6e4-c629-4ac6-b981-650271c3a505' class='xr-var-data-in' type='checkbox'><label for='data-e502e6e4-c629-4ac6-b981-650271c3a505' 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-9939fc3e-2892-4766-a556-49fd77187312' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9939fc3e-2892-4766-a556-49fd77187312' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e19c740-c3f9-4e8c-9788-d2dcfaf895e7' class='xr-var-data-in' type='checkbox'><label for='data-6e19c740-c3f9-4e8c-9788-d2dcfaf895e7' 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-0af94df7-ae82-46d3-ba1f-f0f628148847' class='xr-section-summary-in' type='checkbox'  ><label for='section-0af94df7-ae82-46d3-ba1f-f0f628148847' 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>Mon Jun 27 15:36:42 2022: cdo mergetime pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc noresm_pr_197001-200512.nc\n",
       "2018-03-21 03:01:05 : 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>2019-09-19T16:13:52Z</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>e18baf90-8c3e-11e9-a8fd-f04da273d2fb</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>NO_85</dd><dt><span>model_sst_data_source :</span></dt><dd>NO_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>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_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>driving_experiment :</span></dt><dd>NCC-NorESM1-M, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>NCC-NorESM1-M</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:                                         Mon Jun 27 15:36:42 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_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\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": [
    {
     "data": {
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       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.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:                                         Mon Jun 27 15:36:42 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_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\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-082753e2-d963-4eca-b536-4a710ed24efb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-082753e2-d963-4eca-b536-4a710ed24efb' 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-4bb5ddcf-0610-4622-830b-2daffd582069' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4bb5ddcf-0610-4622-830b-2daffd582069' 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-9a81a15e-558d-450a-9016-4c4ce8a121c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a81a15e-558d-450a-9016-4c4ce8a121c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47b01dad-ef1b-4039-b22f-cf445e39b9fa' class='xr-var-data-in' type='checkbox'><label for='data-47b01dad-ef1b-4039-b22f-cf445e39b9fa' 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-d6e05e85-7190-43e9-8cf9-d6da9ba60647' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6e05e85-7190-43e9-8cf9-d6da9ba60647' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ff6a047-7fd0-4cec-9004-7c4456e5ad4c' class='xr-var-data-in' type='checkbox'><label for='data-8ff6a047-7fd0-4cec-9004-7c4456e5ad4c' 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-27f0330f-7370-4113-916d-b6bed37f66d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27f0330f-7370-4113-916d-b6bed37f66d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c2425cd-b1ec-4fbf-a80d-24b1a3ba9c6d' class='xr-var-data-in' type='checkbox'><label for='data-1c2425cd-b1ec-4fbf-a80d-24b1a3ba9c6d' 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-2e3c4557-ff4c-4c0b-8e4b-ae45122d0509' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e3c4557-ff4c-4c0b-8e4b-ae45122d0509' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9630f9fc-2130-44b3-a459-1c4ddda58c3a' class='xr-var-data-in' type='checkbox'><label for='data-9630f9fc-2130-44b3-a459-1c4ddda58c3a' 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-d7483ed3-ef3e-485a-86a5-a0430bb68f66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7483ed3-ef3e-485a-86a5-a0430bb68f66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca5a53b3-058e-482f-8f3f-83af92648fc1' class='xr-var-data-in' type='checkbox'><label for='data-ca5a53b3-058e-482f-8f3f-83af92648fc1' 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-f3e4e081-e4df-4984-8785-421d8aee3a14' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f3e4e081-e4df-4984-8785-421d8aee3a14' 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-ee0b24c4-8984-4b43-9fb6-6edcbe8ea9e5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee0b24c4-8984-4b43-9fb6-6edcbe8ea9e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12dba059-3ce4-4367-98ca-ce56ae39cd01' class='xr-var-data-in' type='checkbox'><label for='data-12dba059-3ce4-4367-98ca-ce56ae39cd01' 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-de640387-170a-4263-a5d0-13548de27d5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de640387-170a-4263-a5d0-13548de27d5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26377273-22d3-4963-9cc6-1ffffd1e64d1' class='xr-var-data-in' type='checkbox'><label for='data-26377273-22d3-4963-9cc6-1ffffd1e64d1' 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-bf544f31-244c-4f2d-8475-b4e3521bffbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf544f31-244c-4f2d-8475-b4e3521bffbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-daf1e275-7ad7-4c0f-b015-59743ca41044' class='xr-var-data-in' type='checkbox'><label for='data-daf1e275-7ad7-4c0f-b015-59743ca41044' 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-3bcc2fae-28dd-4ee3-be26-6d1572d265a1' class='xr-section-summary-in' type='checkbox'  ><label for='section-3bcc2fae-28dd-4ee3-be26-6d1572d265a1' 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>Mon Jun 27 15:36:42 2022: cdo mergetime pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc noresm_pr_197001-200512.nc\n",
       "2018-03-21 03:01:05 : 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>2019-09-19T16:13:52Z</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>e18baf90-8c3e-11e9-a8fd-f04da273d2fb</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>NO_85</dd><dt><span>model_sst_data_source :</span></dt><dd>NO_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>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_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>driving_experiment :</span></dt><dd>NCC-NorESM1-M, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>NCC-NorESM1-M</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:                                         Mon Jun 27 15:36:42 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_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    driving_experiment:                              NCC-NorESM1-M, historica...\n",
       "    driving_model_id:                                NCC-NorESM1-M\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([[4.81011411e-05, 4.59786970e-05, 4.58172472e-05, ...,\n",
       "        9.30845636e-05, 8.17372202e-05, 6.78281867e-05],\n",
       "       [4.65236117e-05, 4.17561387e-05, 4.31987719e-05, ...,\n",
       "        7.58888636e-05, 6.86034618e-05, 6.38118654e-05],\n",
       "       [4.85145792e-05, 3.61120110e-05, 3.27348462e-05, ...,\n",
       "        6.39763311e-05, 6.34248281e-05, 6.31069852e-05],\n",
       "       ...,\n",
       "       [8.30645513e-05, 5.43634160e-05, 1.64175162e-05, ...,\n",
       "        9.96205927e-05, 1.19866287e-04, 1.75291891e-04],\n",
       "       [1.08147884e-04, 4.63827128e-05, 1.96373821e-05, ...,\n",
       "        1.23150036e-04, 1.35789174e-04, 1.94978958e-04],\n",
       "       [1.11327521e-04, 5.90303025e-05, 2.88651772e-05, ...,\n",
       "        1.79944953e-04, 1.93514425e-04, 2.33033366e-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</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-6893d8c3-1ff4-4951-82e7-8bd2933bef78' class='xr-array-in' type='checkbox' checked><label for='section-6893d8c3-1ff4-4951-82e7-8bd2933bef78' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>4.81e-05 4.598e-05 4.582e-05 ... 0.0001799 0.0001935 0.000233</span></div><div class='xr-array-data'><pre>array([[4.81011411e-05, 4.59786970e-05, 4.58172472e-05, ...,\n",
       "        9.30845636e-05, 8.17372202e-05, 6.78281867e-05],\n",
       "       [4.65236117e-05, 4.17561387e-05, 4.31987719e-05, ...,\n",
       "        7.58888636e-05, 6.86034618e-05, 6.38118654e-05],\n",
       "       [4.85145792e-05, 3.61120110e-05, 3.27348462e-05, ...,\n",
       "        6.39763311e-05, 6.34248281e-05, 6.31069852e-05],\n",
       "       ...,\n",
       "       [8.30645513e-05, 5.43634160e-05, 1.64175162e-05, ...,\n",
       "        9.96205927e-05, 1.19866287e-04, 1.75291891e-04],\n",
       "       [1.08147884e-04, 4.63827128e-05, 1.96373821e-05, ...,\n",
       "        1.23150036e-04, 1.35789174e-04, 1.94978958e-04],\n",
       "       [1.11327521e-04, 5.90303025e-05, 2.88651772e-05, ...,\n",
       "        1.79944953e-04, 1.93514425e-04, 2.33033366e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-183b93c4-883d-487e-b57f-5b8f54616e50' class='xr-section-summary-in' type='checkbox'  checked><label for='section-183b93c4-883d-487e-b57f-5b8f54616e50' 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-363e0b7f-cb2f-47a0-b2f0-a884e9e977ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-363e0b7f-cb2f-47a0-b2f0-a884e9e977ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a673888-1411-4df3-a5aa-06932141683d' class='xr-var-data-in' type='checkbox'><label for='data-0a673888-1411-4df3-a5aa-06932141683d' 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-dd1598ae-1ac0-4f1b-83fc-a91738e257d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd1598ae-1ac0-4f1b-83fc-a91738e257d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e345d07-6aab-4c6d-9e03-08a872da6550' class='xr-var-data-in' type='checkbox'><label for='data-4e345d07-6aab-4c6d-9e03-08a872da6550' 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-d96899d8-efb1-4546-b76a-cbcc8b35998b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d96899d8-efb1-4546-b76a-cbcc8b35998b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91880bee-e641-4d71-b386-7f2daf8614bc' class='xr-var-data-in' type='checkbox'><label for='data-91880bee-e641-4d71-b386-7f2daf8614bc' 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-ac0c3445-c949-4484-b796-bfdc7d050c7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac0c3445-c949-4484-b796-bfdc7d050c7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16ed8208-beb7-4392-b53d-428c3d8dd6ef' class='xr-var-data-in' type='checkbox'><label for='data-16ed8208-beb7-4392-b53d-428c3d8dd6ef' 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-ff32c539-eb9f-4b44-9b87-9817e5b5d4c0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ff32c539-eb9f-4b44-9b87-9817e5b5d4c0' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (y: 337, x: 429)>\n",
       "array([[4.81011411e-05, 4.59786970e-05, 4.58172472e-05, ...,\n",
       "        9.30845636e-05, 8.17372202e-05, 6.78281867e-05],\n",
       "       [4.65236117e-05, 4.17561387e-05, 4.31987719e-05, ...,\n",
       "        7.58888636e-05, 6.86034618e-05, 6.38118654e-05],\n",
       "       [4.85145792e-05, 3.61120110e-05, 3.27348462e-05, ...,\n",
       "        6.39763311e-05, 6.34248281e-05, 6.31069852e-05],\n",
       "       ...,\n",
       "       [8.30645513e-05, 5.43634160e-05, 1.64175162e-05, ...,\n",
       "        9.96205927e-05, 1.19866287e-04, 1.75291891e-04],\n",
       "       [1.08147884e-04, 4.63827128e-05, 1.96373821e-05, ...,\n",
       "        1.23150036e-04, 1.35789174e-04, 1.94978958e-04],\n",
       "       [1.11327521e-04, 5.90303025e-05, 2.88651772e-05, ...,\n",
       "        1.79944953e-04, 1.93514425e-04, 2.33033366e-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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       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[ 4.1559386 ,  3.97255942,  3.95861015, ...,  8.04250629,\n",
       "         7.06209582,  5.86035533],\n",
       "       [ 4.01964005,  3.60773038,  3.73237389, ...,  6.55679782,\n",
       "         5.9273391 ,  5.51334517],\n",
       "       [ 4.19165965,  3.12007775,  2.82829071, ...,  5.52755501,\n",
       "         5.47990515,  5.45244352],\n",
       "       ...,\n",
       "       [ 7.17677723,  4.69699914,  1.4184734 , ...,  8.60721921,\n",
       "        10.35644717, 15.14521935],\n",
       "       [ 9.34397718,  4.00746638,  1.69666982, ..., 10.64016307,\n",
       "        11.73218465, 16.84618201],\n",
       "       [ 9.61869783,  5.10021814,  2.49395131, ..., 15.54724392,\n",
       "        16.71964629, 20.13408286]])\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-82de7e99-21f6-4dcd-94d5-9a7c6251b79b' class='xr-array-in' type='checkbox' checked><label for='section-82de7e99-21f6-4dcd-94d5-9a7c6251b79b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>4.156 3.973 3.959 3.847 3.687 3.522 ... 15.78 15.31 15.55 16.72 20.13</span></div><div class='xr-array-data'><pre>array([[ 4.1559386 ,  3.97255942,  3.95861015, ...,  8.04250629,\n",
       "         7.06209582,  5.86035533],\n",
       "       [ 4.01964005,  3.60773038,  3.73237389, ...,  6.55679782,\n",
       "         5.9273391 ,  5.51334517],\n",
       "       [ 4.19165965,  3.12007775,  2.82829071, ...,  5.52755501,\n",
       "         5.47990515,  5.45244352],\n",
       "       ...,\n",
       "       [ 7.17677723,  4.69699914,  1.4184734 , ...,  8.60721921,\n",
       "        10.35644717, 15.14521935],\n",
       "       [ 9.34397718,  4.00746638,  1.69666982, ..., 10.64016307,\n",
       "        11.73218465, 16.84618201],\n",
       "       [ 9.61869783,  5.10021814,  2.49395131, ..., 15.54724392,\n",
       "        16.71964629, 20.13408286]])</pre></div></div></li><li class='xr-section-item'><input id='section-05034896-6937-40de-99d2-3bcf16e63011' class='xr-section-summary-in' type='checkbox'  checked><label for='section-05034896-6937-40de-99d2-3bcf16e63011' 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-9678f95e-6d2e-43eb-9b8a-ced0ae47c666' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9678f95e-6d2e-43eb-9b8a-ced0ae47c666' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-feff1889-88a4-4cf7-b7d8-7536dc8ebbc9' class='xr-var-data-in' type='checkbox'><label for='data-feff1889-88a4-4cf7-b7d8-7536dc8ebbc9' 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-3985d917-e649-46e0-957f-76976fbf260e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3985d917-e649-46e0-957f-76976fbf260e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e76e20d-7fd9-40e1-a782-4c3c62e93168' class='xr-var-data-in' type='checkbox'><label for='data-6e76e20d-7fd9-40e1-a782-4c3c62e93168' 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-532ed2dc-17e0-4620-b8b2-ec427a15da29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-532ed2dc-17e0-4620-b8b2-ec427a15da29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a75e8d6-7325-4762-a4a1-a292f0791244' class='xr-var-data-in' type='checkbox'><label for='data-4a75e8d6-7325-4762-a4a1-a292f0791244' 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-0535bbf2-4f7b-4c3a-b3b4-d271311999db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0535bbf2-4f7b-4c3a-b3b4-d271311999db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82b2066c-2c10-4f99-83a8-b73d08bb7486' class='xr-var-data-in' type='checkbox'><label for='data-82b2066c-2c10-4f99-83a8-b73d08bb7486' 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-644b3c92-853e-423b-bb43-fd62f42deb36' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-644b3c92-853e-423b-bb43-fd62f42deb36' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (y: 337, x: 429)>\n",
       "array([[ 4.1559386 ,  3.97255942,  3.95861015, ...,  8.04250629,\n",
       "         7.06209582,  5.86035533],\n",
       "       [ 4.01964005,  3.60773038,  3.73237389, ...,  6.55679782,\n",
       "         5.9273391 ,  5.51334517],\n",
       "       [ 4.19165965,  3.12007775,  2.82829071, ...,  5.52755501,\n",
       "         5.47990515,  5.45244352],\n",
       "       ...,\n",
       "       [ 7.17677723,  4.69699914,  1.4184734 , ...,  8.60721921,\n",
       "        10.35644717, 15.14521935],\n",
       "       [ 9.34397718,  4.00746638,  1.69666982, ..., 10.64016307,\n",
       "        11.73218465, 16.84618201],\n",
       "       [ 9.61869783,  5.10021814,  2.49395131, ..., 15.54724392,\n",
       "        16.71964629, 20.13408286]])\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": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cIcRzKGOhe4QQf1vPTUZJ1zQYZezugJTSIoR4D2WqxHohxB8o78sZKAEHnWtrsxf5EmW+41vWSchHUAIvBqPMsTu9Qv3vgUIhxFKU6TqR1jqpwNM1CNRYCtxtnc+6HuiGMiabjufzzUCJfB4KXAaMtg4TZFjt6YkyFj4E+5jdTdby54QQ01ACYgzW6/fFHvRVFekoXvk6IcSf1u2LsEdg1yVYJbAEOlyzvj2oYp6bQ50XrXUedihrhTIeshdlvkoOSvfTmzjMJbLWNaAEdxy01t2B8kW2hdPfWYVtr1jbLUD593kYJYJvaoW6j+Ni7pqbdl3WReme2w2sdnHOdBxC0V0c/wgXofgO7V6L0vVSjNId+C9wdhW2jXZznekO13H3+Myhfl9rm0us71259fqbUf64NHdxDbfh/Z7WxX5DmVyD7+IiKoT316YuSmThHyhCXo4SKLIYZXJ2UoXv5aMoeTVLrd/lx63lEljk6ppV2ePh66z0GeN+nlsflEnJOSjBJH+jzNty1caNKF2YB62v54T1c7/AQ7va2L4/KMIzF2WMKg/lN+dqzl2l98lFnUtQ/sjmoPz+D1lfx41UmGeI0kv0HLDLWjcLJRnAna7srHDuAevDFhmdieKdL8dFOr769vDkAzwXpRvpoPWF77S+mTEOdT7D/Y1jR4X2RqPcrPOxZkNw8SFIYKwLW5ZW98VoyA/gKWp4A/SDTTdbbeoZaFvq88N6Q96Jw+Rd7aG+N89bv2NDHMom4mYCsx/tcika9eVhE7dA2+GrhydjbvegTGKdYf1C2bqM5jkMZD6F4i47Pmy5436zNSSUpUK+R8k3OA3lX5ZtbKoiz3hgW4NEuFjXSwjRGaULMB/Xc8ACxQco/+QfDbQh9RVrd9Z4lBu1OdD2BCG2VGhHqynT0FDxZMxtinSeK7NYCJGNMi9qNLBAKmMgTuMgQohTrZufOxR3BQ5LKV+21nkKuA6lG8+RucAEIcQUKeVsGh8PCyXR61KUboZ2wBSUOTrXygoTRgOJVCarTkeJ2gqTdRgvasQkomQl+SnQhgQTQlmD8EyU8dn1UspDQoieKOOiV6L0JP0dOAs1gplqxU26ngS6xvpcVUTO5cBaKeVWh7JDQAehZPfejLL+matMFT+iDGw+LYT4XVp96EbEnyh/BKai9KkXoeSafEVK+UcgDXOFlHIZin0atUBK+TvVJ1VujJyN8qduDkqvBShjojeiTEO5VypzTDU0KlHbaEnbfKPtrg5aw9E7oISoq0gpTwghHkYZXwhBSZl0k4smJMqE0TnABdgXBW0UWAUs6ERMQ8OfSCmnuyj7jGrmYPoLKeUBqpnzGMxIKdsE2gZfUuN5btb5E08C86UyZ8kVl6NkZvim4gEp5ZsoId0dgUFSyixXDUgp/0TplnOag6GhoaGhoVEdNRIN68z5X7Eva++qThjKnCS3mRmkkrMtx4NLzkAJzZ2OEjruiY3XoYzjERrXsp/QG6o5w3N0Me6Wq6oeS0FVmazqhiwusW9LM6ayTGwZfoQ+gpDQ+Bq1JyJrki7Se5iKTmApq5xSU+gNhMamQqX5tg0fx89WwzWB+r56C9t9xVxcgDHTmipSpyO8ZQeonEC5RsREBHZEp6Cksv2lB3f+LaWc6Otreyxu1hnzv6EEN4ySymRRV5yJsgTH526Oe4yU8l8hxF8oeRu/9PCcD1Ai+AhLbC9bnu795AlhoysnPy9blO7163hC2fodlcpK8neSfUhxmqW5hLi08wmLblvjtsP6eJx4xCtkr/+O3C0/VyqX5nL0EfGkjnM/H9bxffC33b7C1WcbCLLy3NuRGBc873V9/Nwd7yVSSvbcdwGm7ONgsZBywU1EdelTp/bHdg188O2C7c5/SrdfParGq17UBo/EzZonbRZKeqDxUsqqct9dgTIZtLq8dp7yEMrY3A1eaq/OBErInGyo4sYXEduZiNhulOQrsTwFmUtqJW6uruHLG0hItLv8s1BybCNFq1YQYkhwW8dGTUUhmG6KwSJoULWouasTSLErW78jqD7L6qj4J1kIQXTPweQu+hWAwk0r6yxujZlqxc06l20mMA4l5+DKKuo2BSagrETtlX44KeU6IcQslC7KYyiz/xs1ntwAY5udSkn+NkBSVrQfY+lxQsObVnueN64NimDU+EZd7PAvU+hJ6XAjWfu/wGxSEpMXZq3EXJ6LxVSE3pBAVEIfDFFtcbH2VY2oyk5f3iyDScgc8UTUPD3X32JXXwTOVe8PQNQp/VVxK9653p8mNTg88dzeRlm07hmgSAjhmN3+SIXuyUusbda5S7ICjwBbUAJRFnu57XqFpzfEEEM84bFdKM1XAlrzTywisdUFvjTNidrcuA0RLYlOGo6xNJ3YpuMIDUtCFxKliltR1ip75ZIjlORtxhDVhoQWZ3rk0dWGmgpfsAqWI7ZxWaEzoA+Nw5Y7uC6i5g7HNv0ldMEucO6EDQCHWU8i1HvxAo0RT8RtkvX5IevDkSdQcrbZuALYIqVcV3fT7Egpd1jH3KZ7s936Rk1vnDFJw1RxK83fTnHORiITKiVHDxqEEMQ1G+9UFp04mJyjlcfhbJQXHeDEnvdIanMphkhPVm7xHvVByByR0kzBiSUUZq9Cmm1rjOrQRaQSGt8XERJV5fl1JStvR6MVuLKcg5Qc24ihRwtCCkeij3a9BmjJfnv+8Yj23ep0zWAcb/MnnkzibuNpY1LKOt05q5o3IqW8EjcRmg2d2t5EDZEtiYzvTXHuBgBy03/HENXKZ16OL4hM6IXQh1GU/R8WcymGyJaERbWmrHAvRdnKklbSUsbJA1/RtOPN6EPr7cLBPsViLiH70PeUFe2veARLyVHKSo8TEtcDfXRH6rY8WNUEWuBMJbnk7/iT8pxDIHToQiPQRyQQ1Wog4cmVVjryCiUZW0mf/wxIC6yDE9+9Ter0e4kdMNapXtG2/8hdpGYrJLJ9d5/Y01jQ5o95SMWuhGAIKvGEuNRJlBUfwlyejbQYyT++gCZp5wTarBoREduFiNguFcq6Ehnfi6yD32AxFyMtZeSfWExCiyketWk2FSEtZZjKcygvOoipLIvw2C5ExHWv8xheoCkvPkJJ/g4s5mKE0CGlpLRgJxaTwzQLnQHQgcXqwUkTptz1mIsPEpowEJ0h3mf22boq/T0eV3J8O8cXvYSlvKjSsbxtv5M85HpiOoyudfsWYyl5O/6kJGMLxvx0QiKbEN9tKiXHtynCZqtXWszR956gcOt/RHbogSnvJOXHj5C3ch6YFW9LH9eEyK7uFqvX8ATRkDNb1XQqQJV94W7wp8jV1oMrKz7EyX2fACB0oaR2fYDKazTWT05kLMR40jYMKwhrPhWhV+Y9ubp5mo0F5Bz9hbJC10vChUW1I7756YSEebIUVnBhNhaQlzGPkryq15kNie2OPvYUhNBhKTuJMXsN0uQYpyXQx3YlJOYUhM73/399KXI2z81iLOHwb3djLs52W1eEhNHqrDfQR1Rat7VKpJQU7l9G9rqZmEs8mb5bNSEJybS680XCWtQ8wtmRQHdLuuuS3H71qLVSyv6+vn6j8txqI141adPXQmf7odY41D2yFbqQaCymQqTFiLk8j5CwJr4w0SdUFeigj0jFZEhClp8EJOWZiwmJ6YwIiSEzcyXYbs7mEixlWZgKd4HZfd7psqJ9HN/zDjHJI4lJGuaXm7s3kNLMyQNfWCfwu0EXRmjCAPSRLR2KkjA0m4A5fzum/G0o6+BKzPnbMBfuQR/dkZDoTgh9mM9s90dXZf6u+aqwidAIEvtfjt4QhbmskOz132ApK0Caysjd+huJ/S8DQFrMWMqLECFh6EJcv/7SzN1krf2KssydHtnR9MJbKd61gYJ1/7o8HtayHWm3v0Bok5RavEo7gRa2YKB+/HJriS4m1CeC5g5/CV1twuz1obFqt5TFXISyiHLwUZuIvZCYzhizlGQ40piLMXtVNWdY0UcgdGHowpJAgrloLyBBmik4sZCCrJWERHckOqo1ZlMBZmM+0lJOiCGBEEMihshWQfMnoSR/u5Ow6cKbo4tItSaqMSNCYtCFNXUp1kLoCYnrji4yTfHiyq2JhSzlmPO3Yi7YgT6qHSExXXwWdOKqq9JUnktxzlrKS44p3Xq6EPQhsej0EYAFKS0gzYAgJCwZQ2QLQsObOY0Zlq3fgb5TMrlbflHLEvteQmyHMeq+PiyG44tfBiBv+x8IfSjG/HSKj21EmkpB6AhLak9Esx6ExjbDXFqAuTiL0szdlJ3c7fQ69BHxJPQ6j5DIJmQseKHS64wbdhoJ48+hcNMK8lfMw2Isx5DSnNDk5hiatiSqSx+EvkHflv2G9i76CJvQ+UrkaurF6fT2m5LZVDnFVX1GH5mGxXgK5vxt1VcG0BkIbTIYfURz53ai2yk3d6O1a8lcgilvE7lVdPOFhqcSGd+TqCb9Ebrap2erK0VZa9RtfcwphMb3rHEbutA4DCnjMBftw5y/DWm2jk1JM+bC3ZgL96CLbEVIVHtF5PThte7ellKCNIHFiFSfjZwoPkJUWAKlBTspLXC1YEjVhISlENfsVMKiOyAt5ZTkbaXgz3/VcbaQ6BSi2490OicyrT+GJu0oz94H4CSEirEWyjJ3U5bpLGRO6PTEdZ1MQo+ziTi1ndLO3l8oPWj36IQhHBEahhCCmF5Diek1tMavr74QyChJG5q4+Rhfe3OeenEhYU2wpW00lmQQEdvV67Z4g8S4LrXy3kLjeqKPSMNSmo6l7CTSUma/cSIRunBEaCy6sGT0EWkuu9l0hiYYmp6KuXCP0kVnC7aoAmNpOnkZ6eRnrSQ0cSi60Dj1dfiL8pJ0yosPWvcEITG1j/oTQhAS3R59VFssxYcxFWxHGnOtRyWW4oMO1wJ0YQh9hPURDroIFO/XiLQY7QJmMTmXSZNbG3LdHqkeU9kJsg7OROhClWviEFMg9CQPvg5dhXyzQgiSBk4nfd7TSHO50zFdaCQWYxXLJ+r0RLcZSnyPaRhimzv93lOn38vBF27DUqqcnzj5YnTa3DW/0aADSiLadJFtH/0g0GY44cvuyqpErjh3MzlHZgFK0ERS28t9Zoc38MWE4pogpRlz0QEspekgQqw370gQeqSpEGnMwVJ6HGWMyoouTAloqcab8Zbwncxah7ksA1PuRrAoa8TqItIwJA3zSvugeFiW0gzMBduxlJ3wWrueogtrSlzycHQhkUhLOWZjPhZzqfIeCx1C6JEWI8aSdEoLdyni6QJ9eBzJw24isrn72UrlOYfJ3zUXi7GE0LiWRKX1JzSuBZbyQkoytlJ6fAfmsnz0hmhCohIJiUokvFl3QiLiAddj+qa8LEr2bUcXGU1kp15+jcQN1LhbdV6bFlDSQAkbnerTrkp3AhcaYf/hmcpdLtag4YAQekKi20N0e7d1pKUcc9F+TLnWNEmWMqQxH1HNPMKsvB1IKZHGXKSlHF1YcqW5ZVKakeU5WIy5RIRGYzEVYTEVYTYVYSzPQVpKwVJeoWUdIbGn1OblukUIgT4iFX1EqjUgZzfSmI+0lIC5FCfPqMaNhyh/HHShDs+hoAtBhEShj2yLLjSGEiCxis/BhtlYQEHmEopzNymeOxAS3pTIuB40GX0xOkNklecbEtJIGnR1pXJ9WAzRrQcT3Xqwi7MU3I3th8QlEtNneLW2+4IF2/WNOrBEE7cA4GuBg8penE5n74ZTumuCm9p2T/oToTOgMzgnODfmrFW68aRFuUFHtUEf1U6dnmDDXLAdk3UsT4TEoAtPRYTGIs3FyLKTWMqzrMESUOCJMbowDEnD0flwgr4uLBGDwxQJKS2KoJtL1AdmJQCjklhVeEaE1GiyuCcRlfrQGOKbn05c6kTFu9OFotMp3YDGrYd8lrHEn0FrNcXfAhcMY202NHELEL4UOKgsco5BJLoKN9pgpT4InLnYOeOHdPCKpakAU95mTHlbrOIVp9z4AbN1xQZbPXOhRxLmjNCjMySiC2/qUkB9jRA6JeLUT9f1dMqAEHr0Pk4lplGZYBI20MStwWMTudLt+9SykPC6zaHRsCM8WghWYik9BqXHata2PgoRloTQRyL04QhdmBKhqAu3Bm8YfJoqKxipy5w4X+SbDGavzYY/vLdgEzbQxC2g+Np7c6Rgr30xheiuwwjrZP+RB3MC4GD33vRR7UHosBQdQEoLOkMi+qi2iJAoLCVHMRXtRVYxsVoXkYY+qp0SrGEpBV0YutAEZRwupOoxosaKP/NTVkV9EDYbvhK4YBQ1G5q4BRh/CFxZ1j7Kc5TwbaE3EN3GeX5NxX+zwSZ2wSxwQghCotpBVLtKx5TxtjZYjAVYyjLBXIy0BmDI8hyEIZ6QmK4IXSj6iPpzowwGAi1w9UnYbHhb4IJZ2EATt6DAlxO+pZRkr/9W3Y9qNbDaqDFHsQsWoQtmgasOXWgMutCYQJuhgXe6JuujsNnwlsAFu7BBAxe3mAjp8QcZDB+WL7y4kmMbKEm3ZtgQgvhuZ3p8rjSbKDCtoiRjCzHtRxFe2r7eZ8zX0GjseCpwwXBPrAsNWtxqgrsP298fsDe9OGkxkfXfl+p+TMdxGBI8W9BTSsmJ5e9QdGA5ANlrv6LZ2PuJbNFHsS8AHl199t40Ggb12WtzpL4Llyc0aHGTZgsHlq8krkVzElq3qlUbFUXPX18Kb3hx+bvmY8xXIvREaARNep3v8blFh1apwmajPPeIKm6BGqfTBE4Dap/lpS5dkg1F2BoLDVrcsvbt4497ZgAw5dUXaDVoQJ3btImdP0SuLl6cxVROzqZZ6n5Cj7PRh3u2SrW0WMhe/42LcvddGcEelKKhoQlb46JBi5s02/P+7flnkVfEzUYgRA48F7rio+uxlCkTg0OikojrMtHj65Wd3IWp4HilclNRFWuFVcCXYmf71655cBq+RhO1+kuDFjdHCjIq36y9gT9FDjz35ooOrlC3o9uNROg9X46l6NBq+47QKWtpAQW7/6H0+DYimvcmttOpGOKau2nBhd0+iMDURK5xUpsuydp4bZqw1W8ajbgVnvBtRvNAiRxUFjqLsZTiI+vU/eg2QzxuV0rpJG4pI24je+1M1Wsz5qdjzE8nf9dcUobfWmUyWbe2e1noNJHTqApN2BonDTp3T2L7duhCFY8l99ARSnJyfX7NsV3Nfs/EHTY61enHWJK+SV2XKjSuJYZ4zyIkAUpPbMdUpORH1IVGEtWyP6kTHiWyZX9n789i5sS/r5O7dXbdbO/TRX3UlcS4LkGRuUKjfqMJW8OgQYubLjSElM72hRu3/vq7364dUJFraR9rDGvSxuPzpcVC1urP1H2LsZjiYxsIiWxCszH30PqCj2k29n5CYppaT5Bkr5tJ1tovsZgqLr9SC/u9JHSawDVcavrZ1vS7pAlbw6HBd0umDexPxpZtAGTt3VdNbe9T1+5KabFQemAHxuxMIjv2ICSuSbXn6COj7edHmzyeVlByfCvluYecyo4vegmhD8MQr3iAhiZtaDryTrLWfErpiZ0A5G37g8L9y4luMwSdIYqQqGSiWg9CF1J5tWtPcbd0j6doXZUaDUHYvP0HuTHMb7PR4MUttVcPdfvQyjWUFxVjiPJ/QtrqRE5azOSvWUjpgV0YUlsR238UluIijrz/BKX7FHHWR8XS8paniezkfjVhgLKj9mVYwlu0BVz/cCsKnq07spJt5jLKsvZSlrUX9gI6PdFthxOhM1CSsRkAc0kOedvnqOfkbv2NFhOfrDbVV3VoIqdhw5ceeaCEzd+9O66u11AFr8GLW8v+fYlLa0ne4SOUFxWxedYv9Lv84jq3azaZyDtylPKCQiwmE7EtmxOVlFRteip3Indi1gdk/2XPAXl85mtIk9H5mkX5HHzhNppf+zBxg0912b40GSlY96+6H966k1tbKv6gDSc8jH60mCncu5i4U6YQ1XoQORt/wFya51TFmHeE7A3fkTTwSs/adIOpOJvcLb9QenwHIbHNSOx3KZbd2TVuRxO5xkVNvDZ/ClswrowdqEQVvqbBi5sQgr6XXsjC514CYP3Mb2k/dhTxLVvUuC0pJfuXLGXbb3M4tnETxuISp+Ph8XF0P2sKvS48j/BY14lyjSUlbPjmB47/s4jy4mJCuw0j6YzLyVv6p/O1KgibI8e/eZOYfqPQhRoqHcv661vKM5SuRV1YBJFd+3r8+mLPG0Xe4f4UbfsPgNDk5rSc8CKWskLKcw9RlnOIwn1L1BUG8rb/QdrUV4jpMJrioxspy96HMfewGm2Zv/NvynMOEt6sG7EdxxESWX2XqiPlOYdJ/+cZzCW5yn7uIUqPbyex7yVEtxtJ+cZdNWoPNJFrDPhqxe3aEoyCVhUNReyElDLQNviMlK6d5fmfvIfZaOTri6aTf0zphott0ZwBV11OWHQURVnZFGQc59i6DZzYvpMW/fow4cmHCY91zuaRn57BvMefIWPzVleXcsIQHUXvi86n1/lnY4iyrwicsWUb8596nrzDR6o+P7U15emKgIQ0aUqL6x9FHxnNvkeuUOskTbmCpDOvdPIUy44dYP+T1yKNSnBH0wtvpcmp51ZrryOWslLy1yzEmH2c+OGTCW3ivLCptFg4+L/bKNmtdEfGd59Gkz4X2I9LScb8Z9XuShsh0SmknfWax4trWowlHPnjAZeTyQEiW/an6cg7EHrl/1ltuy01kQt+fBlE4guvrb6JmTepSght78vbQ8eulVL297UtjULcAI5v287PN92Jubz6qL72o0cy8dnH1X1TWRk/XH0T2fv2O9WLTkkmMikRIQQ5Bw9RXljkdDwsNpZOE8aS2L4dB5Yu5+CK1UiLhapImnIFSVOnU55+EGkyEtaynXoDP/nHl2T+9JFaN7zdKTQ97wYiO/Wi9MheDr18D+Z8pcsuvHUn2jz0rnquN8lft4Sjbz8CKOLb4YVvETqdOoZnKS/m5H+fU+iwQCpA2llvEBrj2SrgOZt/JmfDdwCIkHBiOoyh6NAqzMX2LsnQ+DSi0voT3XqomhC6rvPmNLELHupTZGRjFrSaoombF3AUN4A9CxYz/8lnMZe77/KzMf7RB+k0YRxCp2PdV9+y4p0P1GO9LjiXHuecSWyL5qrnZDGb2fPPItZ88jm5h6r2zEIjIxl683WERkSw7M33KMnJAaDDuDGMe/h+luyLcHmexVjGoZfvoWT3JqdyQ/M2mHKzsBQr6baEIZzWD7xJRBXjbbXBmJOJuTCfsNRW7L7rbMxF+QC0uvdVorpU7v7M/28xR999VN2PTBtAs9F3e3Stw7/djTHvKABJg64httN4LOXFZK3/moJd850rCx1NR91FVJrz70UTuvqJr0UNvCdsmqjVHE3cvEBFcQMoOH6CXX/P5/Dq/9AbDEQlJRKZ2ITEdm3Z9OPPTt2OcS1b0Gb4UDZ++4NaNuLOW+h53tlur2kxmdk1dz5rPvlC7QZ1pPXQwYy8+zZiU5sBYDYayT18hLCYaKKTk53qunLxLcZyMn/5mJz5s1yOy+kioki7/QUiO/aodKwuFKz7lyPvPQZmM4bmbSg/dkA9lnzO9SRNrhykIy0W9tx3PqYce07KlHOvJypsBEJXtUd5cNbNmIuzAIjpOJ4mvc9HHx6LlJK8rb+Rs/FHpMX++vUR8bQ+9z2XbXkjC4omdL6lPqbU0oStdmji5gVciVtV5Kdn8OO1N1OSnePyeGzzVC7+9nP0IdV39ZlNJo6t28DRdRvJ3n+AhDat6Dplcq0CWVyJnPFkBumf/4+ibWvVMn1sE9LueMGrHpuUkoJ1/5L+2f9Uz7AiiZMuJuXc610eMxfms+v2KU5lUaf0J+3OFxE6+/hbxWkJmas+cvbQhCCyeR/ie5xFeHInzGWF5O+aT84Ge4RpWHInYtqNIKbjeLdRq5rQBQ/+XLZGE7XgQRM3L1BTcQMozs5m7Rdfs2PO35XG0CY++zjtR4/0pok1xlHopMlE/tpFyPIyQuKTiOzUC11YuNeuVXp4D8e/eZPinRvcVxKCtNueJ7qn+xyTBRuWkfHVq04eXKu7XybqFNff77JF6ViMpWQsfJHS45UDeJqOuouoVgOxlBdz8McbkeYyp+NJg64mtpPrqRLqNby4SoEmdp5Tl7lqtY2C1LoggwtN3LxAbcTNhrG0lD3/LGL/kmWUFRTQ++LzaTt8qJctrD2+Ds/NXfYX6Z+/CGaTWqaPjiP1invRR8Wii4hEmk3oo2IxpFTtjUopKd6xnkMv3amWtbj5KaJ7DEIX6j6LSek/h8jfNY/Cg6soy9wFKN9VQ5O2JPQ8h/CULhQf3UDmsreczgtv2o3mEx7x6HX6Yt05TezseGPitSZqDQtN3LxAXcStvuALkSvcvJLDrz8Atu+GXk/CmGkkT7kCfbRnC57aKNq+jsyfPqTEmmXFCb2eqFMGED98EjH9RqldiVJKjFkZCJ2ekIRkhBDk/7Sco3886HR6aHwaiX0vJmPBC07lUW2G0nTEbTWy01eLqzYmofN2BpFALy6qiZpv8Je4NehJ3IlhFi5pXwzAzL3+T7nlDxx/gN4QOmkycezTF1RhC2vZnhY3PEZYausat1W8ayOHXr5bXQ+uEmYzRZtXUrR5JUlnXkny1OmUZRwi/dMXKNmzBVDGEZuedwNxZ59Gzt6+FO+wL+VjzD1M3rY5Tk1Gtx1OYv/La2yrL9abA+cbfn0XOn8lpNZETcMbNGhxc8QmctDwha4uIld6eDfmPGUumS4imlZ3v0xIbEKt2iravs69sFUg64+ZxA+dyKGX7nIamzPnZ3Ps42cx5p6k+ZX3c/ClOzFmHlOPV5wsHpk2AH14zbzLitQ1n6U7qhOHQIhfMKyg4I2MIpqoaVSk0YibIw1d6OqSPsdSVqpuh7VsW2thA4gfNZX8NQsoT7evNBDepjOx/UcT0380AAeevgFzYR7SVM6e+y9wbkCvB7PyWjJnfYDxZAYtb3qSw2/OwJTtevHZk6s+JqJZN/Rh0S6P14SaipzFXIaUJvQhUdVXdkEwCI2/8FaKLG1cTcMdjVLcHGno3ZZQM7EzF9oTIMvyMrf1PCE0PpG2j31E7r9zwGwmuvcwDMnON6OU824g/dMXKp2bfM51JIw5iyNvPUTxjvUA5C7+jdzFv1W+TlIzpNmMKScTS1k+eTv+pEmv8+pkuyPVdVkaS0+Ql/4nZUUHAIne0ITEVhcQGt7UazbUd7yd71ETNY3qaPTiZqOhe3OOVPxBz1tXRtGWVRSsX0rBevuKAiHxSXW+li40jCZjp7k9Hjf0NHKXzlFzVQLoY+JJGDMNfUQkaXe8wLEPn6Fg7WKX54eldaDFdY9QemAnxz5+FoDS/C2A98TN6XoVvDkpLWQdnInZaP9TYC7PJv/4PyS2rvvqE/WZYBU00EStMaCJmwsagzeXn57B1p9/I33zVo5v24HFWCHbiU5P4qSLfG6H0OlpdedLZM//keJdGwlNbEaTU89FH6G897rQMFrc8Dj5axZS8N8iSvZvJyQhmcgO3Yns3JvoHoMQ+hB0kfZVGMpPHHW6EXqyUGtNsd24jfkZmLfmVTpeXlx1CraGii8y8ns7ubEmbI0DTdyqoKF6cye27+TX2++pNEndRkLb1oy4/WbSBnYDfL+4oS4snKTTL4XTL3V5XOh0xA0aR9ygcW7bCIlrgjCEI8tLsRQXYi7MV6ct2G6O3hY5U3EOWetmuj5Yzbp+DQVfLy+jeWsatUUTNw9pCN6csbSU9V99y7qvvq20OkJSxw60HTGUtiOGkdSpQ5WLrlZ1kwjU2k9CCAzJqeoq5GUZh4js0N2pjjdFzmIs4djfj2EqdB3YYjEVkbHzVXT6CKKThhEZ791cn4HCX2ulad6aRl3RxK2G1FdvrjAzk59vupP8o/Yw+rCYaEbefTst+vYmKinRK9dxdxPxh+iFpXVQxe3E9++QetUDhDVrVbmeF7osc7fOditsNszGPMzGPHKOzMLQvg0hWa4XsA1mArHwpyZsGt5AE7c6UJ+8uX9fedNJ2JI6dWD8ow+S2K6tX67vD9FLGD2V/JXzACjZu5V9D11GZKdexI88Q1m53FA51Vdtha4sa1+lsiZ9LwYEOZt/QhqdV2nP2/47zU97wvP2fZQxxRXBsHK1LxYNBU3YGjOauHmBYPfmirNz2L90ubo/4q5b6T5tKjp94JeP92aGlciOPUmacjknZ3+hlhXv2kjxro3ov32LlAtuIn7oRLfn10TootsOo+TYBqcyY346yUOuJ7bzBIwFGVjKCkmf9xQApZm7MBWdJCTKswjUugiOK2EMBgGriK8EDTRR09DEzesEoze3e94CpFnJFJLaqwc9z3Ufmh9IvJFhJfmsq4no0JOcRb9QuHEFWJQ2zYV5pH/8HFgsxA+fXG071QldRc8MwNCkDQC6kDDCEpR0ZeEpnSk9sROk5MSyd0kdPwOh8+2fimAUMhu+FDQbmrBpAOiqqyCEOFcIMUsIcVAIUSKE2CmEeE4IUWkAQQgxWAjxlxAiVwhRJITYLIS4sEKd0UKIHUKIfCHE+0IIg8OxNkIIaX2MddH+UiHEolq+Vr9ySfti9RFo9i1Zqm4nd+oYQEs8Y2xXs/qoDdHdB5B2yzN0ePEHks+5jpAE+yKwJ354D2kyVXF2ZcJGp6oPG6biymv+FR1cXaksofeFgBKcU3p8K8VHN9To2g2Fiu+fr9CELbjx5/2wWnED7kGJB58BTATeBW4E5gkh1POFEKcDS4AM4GLgTOBDINyhThTwvbV8GtAHuN3NdZ+p4WsJWgItdIYouxe5Z8EiTGV1yzziT+oicqHxiSRNvoR2T36GPiYeUDy4A8/dRP6ahUhLzdu13aTjp01ChDiP4ZUe34ql3PkzjmjalcgWfdR9Y/4xGguu/hT4Ek3YgpNA3f886ZacIqXMdNhfLITIBj4HRgMLrF7cp8A7Uso7HOo6LKUMQFfgsJTyZQAhxFPAdcCLFerNBSYIIaZIKWd7+mLqAxU/YH90X/a55EIOLF0BQHFWNid376VZ91N8fl1vUpcuS31kNAmjp6pjcaUHdnL0vceJ6j6Qlrc8XeWacu6IaNOZpDOnkznrfbXMkNAaERpRqa4ItS8gq3NxvKHgLxGriCZqwUsge66qFbcKwmZjjfXZtkrleUAy8HI1zR0COgghRgObgUuBXS7q/QgkAU8LIX6XDXjROV8Ho5hNJvY7dEsCRCXXPa1WoKhtAErSGVdgys9R8lxaPbaiLas5+u7jNL9mBvrIGEwFueQtnYOpII/4YRMJa+E+kjTz1884+dun6r4INZB63d2IY5XnB4ZENlG383b8RXSboegMwTMmWxsCJWSOaKKmURW1DSgZZX3ebn0eDmQDPYQQc1A8tHTgI+BpKaUZQEp5QgjxMDDPeu3/gJtctC+Bh4E5wAXAt7W0s17hC69u5bsfsuGbH9T9VkMGEtM0pc7tBgM1EToREkLq5feQNOUKsubMJGfBzwAUblzO3gcvIar7QIp3blCX28ld8jsp512PNJZjLsxTM57EDZ+MLiyCk7M/V9s2NE2jxY1PEJ7WHjrZr2kLRIlpP5q8HX+CxYwx7wgZi14kut1IwpM7YYirehXzYCAYhMwRTdTqB4GON6jxStxCiBbAemCjlPJUa9lfKIJXBjwFrAXGAw8Ab0op76zQRgKQCOyT0r7glxCiDbAfuFZK+ZEQ4l+gKXCKlNIkhFgKmKSUoz2xtWvvjvKTua/V6PUFMzUVu+z9B/j28mvUSMlWgwcy/tEHiYiP84V5QUN1QielJPPH98n665sat62PjqPJhPPJ/OlDQFnMtfUDb6m5MF1Rtiidgr2LyVz+rvMBnZ7UcTOIaNatxnb4gmATMVdowlZ/cCduQ5ueEXwrcQshooFfARNwpcMhHUrgyENSylesZYuEEInAzUKIx6WUanZZKWUOUDncrDIzUIJUpqN4gZ7YeB3KOB5NWyZXU7t+UdMuzFUffqoKW4u+vTnj5eeqTKvVUKjOoxNCkHzu9YS37cLx797BlH3c47bNhXmqsAFEdu5dpbCBLbDiQoyhR8hd7DCEbDFzYtVbdHzxB0RIKOCbJM82G+ozmqjVLwLttUENxE0IEQ78BrQDRkkpHdOeZ1mf51U4bS5wA9ANWE4NkVL+a/UKHxVCfOnhOR8AH4DiudX0mvWF6oSurLCQA8tWqvvDbrupUQhbRdwJnRBCWTS1z3CKtv5H6cFd6KJiiBs8npI9W8me9z2W8jKk2UR0j8FYSovJnvt9pfZD4jxfzDXl3BvIW/430mjP62kuyEWazaq41XcR8jaaqNU/gkHYwENxE0KEArOAgcB4KeXmClW2Wp8riontbmqh9jyEMjZ3Qx3aaNC4Gqs7sGyluoxNcueOJHfqEAjTggpXi7YKfQjRPQcT3XOwWl5x34Y0m8n5Z5a6L0JCiek3qlI9d+gjo9EZwjE7iBtSIlykBWvsNHZRq65rvbG/P55QrbhZ57LNBMYBp0spV7qo9gvKWNtEYItD+WlAaYWyGiGlXCeEmIXSRXkMqLx4loYTF7cr4vYFf6j77UaPDKA1wUtN8102veAm9NGxFKxZhC4ymuQzr3SZmNkdUkpC4hIxF+U7lRduWEZMn+GeG96Aaeg3bW/lUnVsJ5jes2Dx2sAzz+1tlFD/Z4AiIYTjX9ojUsojUsotQojPgCetYrgOJaDkGuApKWVhHe18BEUgUwDXSzJrqPzyxZ/89+9Gdf+OywfQOsjzXwYT7kUvhOSp00meOr1W7QohSLvrRY5//ToF6+wrnptL6vrzqH8E0w3ZmwRiyadgEbpgEjbwTNwmWZ8fsj4ceQJ43Lp9PXAUuBUlwvEAcJeU8vW6Giml3GEdc5te17YaA+uX2x3lDqe0oXWHlk7HAzGRvCHgjSTPoQnJJJ1xuZO4hbcK/pRotaUhilig1iz0hAXb9Q3yPa8NnkzibuNJQ1LKcpS5aQ/X1hgp5QHs43QVj12Jc4SmhhuSU+1rsw0dP6Da+prY1ZzaZkyRFjPpX7yk7kd27UdYi3Zetc1fNJabaDCLWUUC9ZkEm9cG2qoADZL2Xduo23u2Hajx+ZrYeU5Nvbmchb9QemAnACLEQOpldwVNFGtjEavqqE9iFgwEo7CBJm4Nkm79OqvbK/75j+KiEiKjap/TMNjXqwsWqvPmTHlZZP5kn66ZdMZlGJq2dFnXV7ZpVEYTs4aJJm4NkNYdWmIIC6W8zIiUkhXz/2PcmSO80rbm1VWPO5ErWL8US6ny/hmaptFk4oWVzq3rNTU8QxO0ho8mbg2UfsN7suKftQC8eP87DBzdh5i4aHKz8lixYC3/LdnA5jXbiUuIZdr0yUw4exQhoTX/OrjqktAET6Gi4Cyde5AM63bs4PHoQg2VT6phmxo1QxM17xKsXZKgiVuD5a5nb+TGM+/jZEY2+TkFPHfXGzRv1YyfPv2D0hL7em5H9qezdd1OPn/tO1755klatGlW52trgucavcEuZmnRJQzVhMqvaMLWuNDErYHSok0zLr/tPF6Zoaw3tuj3qrOfHd53jNvPe4h3f3uB5FTvL4nj7h9eYxK95M72JQMyd7pa6UnDF2ii5huC2WsDTdwaNJPOH8e37//KsYMZTuXtu7bh1Gkj6T2kO+uXb+HTV76hvMzIsUPHuf38R3j75+dJSPLPygGNSfRSutoDfU7s2Im0WBA6XRVnaNSFxiZqWpe1M5q4NWCiYiJ555fnee2RD8g8lkXTlslMPHcMQ08dgM56U+058BQ6dGvLA9Ofxmwyc2DXYe688FHe+ulZomOjAmZ7Q+zajGnWlPD4OEpz8ygvLCLv6DHi0/wTLdnYaGzCplEZTdwaOCnNk3j24xlV1hl26gAef+ceHrvhRSwWC7s27+WaSXdz7ws30W94Tz9ZWj1VdYPUB+ETQpDSpTOHVq4G4Pi2HZq4+QBN2HxPsHdJgiZuGlbGnTmCkqISnr3zDQAO7TnCrefM4LRzx3DrY1fRJMXzpV0CQXU/tmARv6andFHFbddf8+h82vgAW9Rw0ERNwxFN3DRUzrh4AkKn49WH3qe4sASAv39cyLK5q7npkSs587LTgiabRk3x5J+mPwSw88RTWfPplyAlh1atIWvvfhLbt/X5dRs6mrBpVEQTNw0nTr9wPANH9+GNRz/in1+V5L6F+UX87963yDqRzdX3XBxgC32HP7y/uJYtaDdqOPsWKe/txu9+ZOyMe+vcbmNFEzX/Ux+6JAG0UC2NSiQ3S+SpD+7n1e+epGVb+8rQH7/4NbM+/aOKMxs2l7QvdnrUlt4Xnqdu71u8FGmpy1q+jRdN2JzR3g9nNHHTcMug0X35cuFbDB7bTy375t2fA2hRcFFboWvWoxsRTZQxzLKCAk7u3uML8xo02o1cozo0cdOokrCIMJ54z95tdjIjCyllAC0KTmoickIIWvTpre4f37bDR1Y1TDRhc48/3ptgCc6qDm3MTaNaomOjCDWEYCw3UV5mpKykjPDI8ECbFZR4uoKCNNsn3BqivDOfsDEktdaETcNTNHHTqBYhBLHxMWSdyAFg0ZwVTDx3TICtCn6q8uTmZR1Vt2Obp7qt50lbjQVN2DzDH6txz9wbGfTfSU3cNDyibedWqrg9efPL/PTpH9z48HT6DOkeYMvqH1JKjh5IV/evHBpPk+TgvlEEGk3YNGqKNuam4RE3P3olMfHR6v6W/3Zwx/kPs2fr/gBaVT8pyC2kqEARs4jIcL/l8ayPLNiu14StFmhjb5q4aXhI554d+Gze60y5eIJaZiw38cCVz2gCV0NswgYQlxhbbyfG+xpN1IKfYBY4Tdw0PCa1VVMefPU23vrpWbXs2MEMrpl0F9vW7fS4nfzcQr597xcWzF5KmcPaco0Fo9GkbofWYoHYho7mrXmHxv4ear8sjRrTd1hPHnr9Dl68/x3KS8spLzNy50WPcdo5Y4iMCicswkCnHh0YPLYver39B2Yymli3fDP3XPIEJusNPjIqgktvPZfLbz9PXamgoWMsN6rbtVn93FMuaV8c1P+sXeHLG3LZovTqK1kJG119kI+GQrAGl2jiplErTr9wPO26tOb6M+7FZDRRkFvIjx/PdqqT1q45tz5+NcMmDCTj8AnuufQJ9u885FSnuKiED57/kuwTOdzxzHWNQuCM5XbPzRAWGkBLggdfiVpNBK025wW7CPojchKCU+A0cdOoNV17d+Th1+/g2Ttfp7zMWOn44X3HuO/ypzilTyeOHTpOblae27Z+/OR3igqLefiNOxv8GFTGkRPqdmOfL+gLUautoPniWsEufg0ZTdw06sSEc0bTb0QvNq7ayvGjmZSVlJOZfpJ5Py+hML8IgG3rd6n19XodXft0IqlpE867diqzPvmdBb8tBeDP7xcwdspwhk0YGJDX4i+Wz1ujbvce3HinUnhL2PwpZjXFlW3+FrzG6r1p4qZRZxJTEhg7ZbhT2bX3X8r7z33Jb1/9rabrMoQbeOr9+xkxcZBar8eArhQXlrBywVoA1i7b1KDFzWKxsHy+XdyGnToggNYEjroKWzALWnVUtN0fYtcYBU4TNw2fEJ8Yx/0v3cKVd13IptXbKCstZ+Co3iSnJjnVCwnRk5yaqO6bjL7/AQaSHRv3kJ2ZC0B8Yixd+3QMrEEBoDELmyv8JXb+ErhgQRM3DZ+S0jyJ8WeNdHs852Qec39arO4PGdfPbd2GwKqFa9XtIeP6O0WTNnSCQdTK1tc9SXVYny51bqMqHF+nt4XO9hn4UuSCxXvTxE0joKxetM5prltDH4Pas+2Aut13WM/AGeJnAi1s3hC1qtryleD5Suh87cXZpqAEUuQafty1RlDTvHUzp/0lf64IkCX+4ci+Y+p2q/YtAmiJ/6iLsJUtSq+TsJWt3+FVYavuOr68Xl3fi4o09BRdmrhpBJQeA7oybuoIdX/O9wswmxvuuEB+XqG67eucksEwgbuuwlar83wsMjW1wdt2eFPkGrLAaeKmEXDOv26qur1m8Xqeuf011i7dRF52fgCt8g2JyQnqtm2VhYaKv4Ut0IJWFb4QOpvI1VXo/JHuLBACp4mbRsDpMaArF904Td3/64eF3HrODM7sfQV/fDs/gJZ5n2ZpKer2vh0HA2iJb/GnsPlS1LLydjg9vEGwenMNTeC0gBKNoODmR68kMz2L+b8sUcvKy4w8c/trvP3kpxjCQikpKsFkNDNm6nAeePlWQkLqX6Rh935d1Enra5duYtSkISyYvZRDe45SVlqOPkTHkHEDGDKuX53yTgaySzIQXZG1paaC5Vg/Ma5uQSQ2gfNmMIrt/att8Im/Ak38gbBNsG2IdO3dUX4y97VAm6HhIWazmdkz57Fq4Vo2rNxaZbfk3c/fyDlXnu5H67zDri37mD7utmrrJaYkMPH8sZxx0am07tCyxtcJlLgFoiuyNnjLC7NRV6Gz4e2oy9qKnC8F7u2hY9dKKfv77AJWtG5JjaBBr9dz1uUTee7Th/hh1YeMmTLMbZ7JzWu2+9k679CxW1t6DTql2npZJ3KY+dYsLhp2AzdMuY/fv55LcVGJHyysPfVB2LzZveiLdn0xLlcbGsKyQ5rnphHUGMuN7N1+kDce+4gNK7ao5dc9cBnT77wggJbVngO7DnPL2Q+qmUp6DTqFYRMGEhMXzdEDGfz1wwJOHs+udF5EZDjjzhzBlEsm0L1/F7fCHwivrb4Imz/wlhcH3vPk6jJHzttenL88N03cNIKa3Kw8rp18D0cP2G+Aae2a8/HfrxIdGxVAy+qGsdzIkf3pRMdGVkpJZjKZWbVwHb9/PZelc1djNlW+ubTq0JIzLhrPpPPHkZiS4HTM3+Lm7wnawdIVWRWawLnHX+KmBZRoBDXfvPuzk7Cddu4Y7nz6unotbAChhlDadm7l8lhIiJ5hpw5g2KkDyM7M5a8fF/D71/M4sOuwWufQniO889RnvP/sFwwZP4DhEwbSpXdH2rlp01cEOvOIp/hT2GzX86bABZr6mJdS89w0PEZKya4t+9izdT/HDmaQ2LQJg8f0dcoyYjabWblgHccOZhBqCCEyOpK2ndNo0zGNUIPrhTmzM3P5/oNfKS4sYfQZQ+k9pLu6aOn5g6/lyH7lBnjJzWdz86NX+f6FBiFSSrat28Xsr+cy/5clFBe6Hn/TG0JJbN+OlC6dSe7SiZQunUlo2xp9iPf/x/pb2CzmcopXr8RUrswPFLoQhAjBVHaSouz/MJVnY4hsSUzSMAxRbdVuW38LmyPBFmhS1xRe3hA4zXPTCDreeepTZr79U6XyngNPYfhpA+nauxNfvP49a5ZsqFQnPCKM4acNYtyZIxg8th9h4QYASopKuWHKvaqA/fjJ7yQ1a8KoyUM4djBDLYfKqboaE0IIuvXrTLd+nbn9yWtZ+Psyfv9mntM4JIC53MiJ7Ts5sX2nWqY3hJLUsQOpPbvTedIEkjq0r7M989aVYS7MIyQ2AV1Y5QVXpZRVLjrrTtikxYSpMBNjQQbG/HSM+RkYC9Ix5qdjKjpZrV1lhXspK9xLaEQLohL6USJBhPi2m9bmIDi+XiklSCOZmSuQ5mIiQ2OQ5lL0obHoDU3Qh0RhLM2gtGAPxtJ0EDp0unBCI5phiEwjLLo9Op3Bp3bXhvrkwWmem4ZHHN53lIuG3YjFYqlzW1ExkbTr0prElAR2b93v1O1YFZ/Of53OPep+Y25IHN53lEV/rGDHxt3s2LCH9MPHqz0npUtnuk6ZRMdTxxIWHQ2AxWQm5+AhMnftJnPnLjJ37iZ7335AEJEQR0R8POHxcYRFR7N/yz7KDu8FaUGEhBLVYxBxgycQ1qINJfu2k/nzR5gL84hodwrJ064hsmMPp+vbhE1KC+aSPExFmZRkbKP48GrKsg+C9O7NU4TEogtPRRfeDF1YMkLn/j+9lBJL2XFk2UnQh6GPbI1wITJSWkCaMeasxVJyRLFZF4bQh4GUSHMxSFPtbdYZiIzvSWzT8ej0yp8Hb3hv3ki+XFdx0wJKvIAmbt7jrx8X8uTNL6v7F990Nvt3HWL1ovUuAx6GnTqAxKZNyM7MZffWfRw/klntNZokx2OxWMjNcj2/bWn6b2p3pYZrPl5n5MQORZxO7NhJ5o5dFGS4FryQsDBiUpshdDryjhzFXF7ufYOEIKb/aCLadEaaTZRu2oepKBNT0UlMhSeRFmONmtOHxhNiaAI6PVhMSIsRoTMQFt2OsKg2FOduoChnvXuBFHp0YcnowpqhC2+GCIlG6EKQ5hIsZZmYiw5iKT3qcMFIwppOQFgFRprLKM9ciDTm1vINqRmGyDQSW1+CTh8eNOIGdRM4rVtSI6gwhNnHy0afPpRbHlPGvnJO5rH071WsXbaJLWu2k9i0CedcdQYTzh6l1pdSsnfbAeb/+i///PqvS0+tY7e2fDDnZfQhejat2sqiP1bw718rOX40E51Ox9lXnq4Jmwdc3TeUmXEDaDXIvsJ3SW4ex7duY9ff89m7eCkWoyIoprIycg7UMgWYEITEJWLKraarUEoK1iykYM1Cj5vWRyQQGptKaEwzQmNT4aSZEEMiIYaEKr0uQBlzSx7FyYx/sJSmYynLBBx6G6QZS2kGltIMyLO9llCQbkTWXEx55iL00Z0QulBMhbs8FzYRgtBHIvQRiJAo0BkwCD2m8mzMxlz0ofGEx3QkLLodQoRgNhVQXnyE0vwdmMqzACgvPkz69ufRhUSh2xNNTJfRxHc7E6H9FqpF89w0PGLlgrXcddFjAAwc3YfXvnuqVu1IKTl6IJ3M9CyyM3PJOpFDTFwUIycPISq68tiIsdyI2WQmPLLyuI6Ga6qaClCan8+uv+ez7fc/ydq91+lYdEoySZ06ktzZ+ujUEX1oKCW5uZTk5lGSk8PGnUWEJjYlon039JHRlKUfJG/pn5Qe2k1Z+kEspSVEdx9Ik9PO5+Rvn1O4qeoljHSGaEKikwiNSSWyZV8iW/RBHxatHq/rfDZpMWEpy1SErjQDafIsGbcIifW4ri6iBaGJQ8FchrQoaxMKfSToDC7HHasLMpFSUnBiAQWZ/7o8HtvpVBIHXlXlmKY7vLkmXG29N81z0wgqHD03x8VFa4oQgpZtm9OybXOP6ocaQt1GWWrUnPDYWHqedzY9zp1GUeZJygoLsRiNRCUnE9kkweU5EQnx6naHsc5RkmGprUk57waX56Xd/jwlB3ZQvGMDxpxMhE6HyIkkJCqZ0OhkQqKS0Bm8G+xRMTJS6ELQR6Sij1Bu6tJUhNnquVnKs8BcAkhAIMKS0BmaoAtvjj68Kab87ZjyNlmPOyNC4wmJ6awEgkSkIYQOQiIRVP96qpsmIIQgJmUMiBCKc9ZhNuY5Hc/fNQ+L2Uhi/8vQG2o2JaZsUbrXV/cOVjRx0/CIk8fty7PEJ/p2HTKNunFJ++JqJ3ILIYhOSSY6JdmntkS06UJEG/uN3Nfz2hLjulQZ+i9CogiJbg/RSmCSlBIs5aALQQjnqQ0hsV3RhadiLjmMNBWCNCF0YQhDAvrIttV2kdYFIXTEpowiNmUUpvIcTGWZFGatoqxQ8bYL9y6i6MBywpI6Kl240cmERKcQ2byX1/8wuCPYIyer/XSEEOcCFwH9gRTgEPAT8KyUssBapw2w300TCVLKXIf2RgPvAc2Bb4BbpZTlLtoZJ6VcUMGWpYBJSjnag9dGhF7rl/YW6YfsQQmprZoG0BKNQDO2q9lveQfD+nTx6RptQgjQh7k9rjPEozPEe/26NZnkHWJIIMSQQFhUW3KOzqYkbxMA0lxO6fGtlB7fqtbVRySQOn4Ghvg0r9tc3/Dk7n8PYAZmABOBd4EbgXlCiIrnPwcMqfAosB0UQkQB3wMfAtOAPsDtbq77jMevogp6JERVemjUnGOHMtTt1DRN3DRqhz+6xOpLZpCaTi4XulASWk4jIe1cDAmuM9GYS3LIWPQyxcc2KtMVfEwwJ1f2xK+eIqV0jONeLITIBj4HRgOO3tU+KeXKKtrqChyWUr4MIIR4CrgOeLFCvbnABCHEFCnlbA9srBEVBW5zTpG3L9GgsGXHsNGYJ1PXFzzpmqwL/vTeNOwIIYiM605kXHf0Y5Ioyz5gnfSeTv7uBWAxYSrIIOOf5wiNa0GTPhcTldYv0GYHhGo9twrCZmON9blFDa93COgghBgthEgELgV2uaj3I7AOeFrUJiSohmieXdX8t2Qje7cfACAsIsyjJVs0NNxRU++tNvO7gt17S4zrUmcbQ6KSiErrT1zXSSQNvIqU4beAw7ihMe8oxxe9qIieA94e9wzWPzm1HZSyTWKquKjWc0IIkxAiTwjxmxDCKTWBlPIE8DAwDzgJtAOeddG+tNbrCfh9XRNN4Owc2nuUR65/Qd0fd+aIep+0WKNxEIwC5w1RC+vTxaXgR7ceTMsp/yOu62Sn8pMrP8BcVlina9ZHaixuQogWwJPAfCnlf9biMuB94HpgDMo4XQ9guRCiq+P5Uso3UQJTOgKDpJRZrq4jpfwTWAo8KYTwe1Sn5sUpvPPUp+TnKMOmCUnxXHPvxQG2SMNTLmlf7NP2gzlSLtjwhqhB9V6sIa4Fif0vp/lE53moh36+lYK9i5U2fDDuGYzeW43ETQgRDfwKmIArbeVSynQp5Q1Syp+klP9KKT8ERqJ4YA9VbEdKmSOl3COrH/GcgSKC02tg43VCiP+EEP+dPJlX/QnV0NgFbsfGPer20x/eT7OWKQG0RqOh4I+uSQgO781bolaT9yAsqQOGeHvQiTSWkLn8XXKOfIupsO73xfqAxx6RECIc+A2lK3GUlPJIVfWllIetofsDqqpXTRv/CiH+Ah4VQnzp4TkfAB8A9O3X2SvpV2wCV98DT7at38W8nxdzdH86TVISOP3C8fQY0LXK+ieOKemV9Hod3foF/kahoVEfCPRSN0IIUic8Sva6rynYYx9zy1n4CzkLf6HL+/MRId5LjhCMXrxHnpsQIhSYBQwEJkspN3vYvsDV9P6a8RDQEnCdBsGP1FcvbvOa7dxxwSNcM/Euvnv/V5bOXc1vX/3N9Wfcyycvf+PynKKCYp65/TV1f9TpQ52ylGjUD7SuSf96b97qfoS6rwKgD4smech1dHhpFoZmzlMHdt0+FWP2iTq1D8rnH6zfAU8mceuAmcA44PRqQv0dz2sFDAN+rouBUsp1QohZKF2Ux7CnOw0I9cmLM5Ybefyml1g4e5nbOh/9byYt26Qy4ZzRapnZbObR619g/85DAIQaQrj2/kt9ba6Gj/D1tID6gKPgeHvxUm+LZ01ETVosbpMoO3b9tpnxDrtuO0Pdt5QWc+yT52l9zyu1sjFYBc0RT7ol3wbOQ5lUXSSEGOxw7IiU8ogQ4mUUL3AFkAl0Bh5EScftKhqypjwCbEEJRFnshfbqTI+EqKAXuM1rtlcStglnj+KsSYP48rM/WbFMccDffeZzxk4dTkio8nX48PmvWPHPWvWcB1+9ndYdWvrPcA2vY/PgfCFytZ3zFjY6tUZh6d7KVlJRjGojdr7wBj0VNYu5nPyd8yjY/Q/G/GOExrUgsmVfYtqOxJCgZCapOKapj4qhw4s/kD1/Ftl/fwtA8fa1lKUfJCy1tcc21gdRs+FJt+Qk6/NDKOLl+LjGemwrMBwlYnIe8DiwDCUacid1REq5A/BozM2fBHtEZbOWKapgATz21DXM+vZxLrtiErN+e57EJCVH5PGjmdw17QGOrthE5trtfPXWLPWcy28/n4nnjvG77Rq+wVfdlLW96QVDEl9bV6InXYre7Ha0UdNgkZMrPiB77ZcY848Byny2vK2zOfL7fZxY/i66nq7/aIQ2SaHp+TcS2aWvWlZ6aLdH1wzm7kd3NOglb/r26yyXrHzfr9cMNm/up1e+4aUXZgIwYdIgZv36vHrs4vMeZfavrpfVABgxqje///0yOp0u6F6XRt3wZTdlbcPCazq52Jc5J/1BbcbULOZyDn57dZWLvApDGE0mXEDixIvQRyifszSbKNm/g6Itqzg5+wu1bsvbniOm19Aqr+ltUdNW4vYCgRA3RwIpCDaP8sD+dHp0Vuam6XQ6Dp/4jVjrJOyffljI9EufwtV3wGAIZfl/H9G5S+UcdprQNQwagsBB/RO5ugSKWMqLOfDdVep+2rQ3kS0LyF08u9LaeSFxiSSddRUluzdRuGkl5gpTAEJTWtDuyc/QhRpcXstXnpq2nlsDwLHL0h+C4KqL1Nb1CGCxWNiz+wh9+3UG4OzzxtC3fxc2rt/FihVbWP7vJvbtPUqLlik89dz1LoXN8TqayNVvfBloYrsx1lTkbN2UNR2LsxHMQlfX6EcAnSGS0LgWGPOOAmCKP0p870nE9B5G0fZ1HP/+HcqsXY2mvCwyPq+YttfaTmQMLa592KWw1bfuR3donluA8KYwuBv3y88vYuzwm9m54yCgeGObd86keQvvruGliVz9p6F4cU7nB4HQeUPQKpK79Tey130NQESH7rR58G31mLRYOPre4xSsrRx3FxKfRFS3AUR26kl0j8GExDVxOu4vUdM8twaOrwNRFi9cxxmn3e1U9uKrt3hd2EDz5BoCwRpNCbUXOZuw+EPkfCFiLq8zOpXEPuep4lZ6aDdSSmz55YVOR4sbHid73g/kr/4HhI7o7gOI7j2M8Fad3E4baCjemiOauDVQ7rrtdaf9+x68jKuunerTa2oiV//xVVdlbbspwXsiVx2eiKC/REy9notoUn1sgroty8tASnBYPEXodCSedgGJp1Wfc74hipoNTdwaGEajiY/e/5Vd1gnYoERJ3vPAJX6zwd9jjRreJRi9OHC+0Xt72Rbwv3C5tMGDqRHlxw+r2/roOLfeWFU0ZFGzoYlbA+PSCx5jzu/L1f3efTo6hf/7G82bq7/4SuQcb6zBKnS+pi7z+/KWz1W3I9p38+icxiBmFdHErQFRWlruJGx6vY67gmSJGk3k6i/BGFXpSEWhCDax8+ZEdWk2kbfsT3U/bvgkt3Ubo6A5oolbA+LYUedF05ev+YhTurcNkDWu0bos6ye+7KoE74icjUCInb8yrRRuWY0p17pSR2wCMT3tE7Abu5hVRBO3BsQfDnkkBw7uFnTCVhFN6Oofvk7C7E2Rs1Eb4XEUxGBIEWYjd8kf6nbPKacxtIcANFFzhSZuDYScnAKee+pzdX/EyF4BtKbmaEJXf/C1FwfeGZerC8EkaLb3ouhkFjs224cdTpnivktSQxO3BsPXX/5NQYFy02nfoSX3Plh/l6jRhK5+4A+Rg8ALnT+pqmtxx5y/kWYLAM179yS+VZq/zKqXaOLWQFi9cqu63bdfJyIjwwNojffQAlGCH3+JHLi++dcnwavtuJiUku2/2wNJTpky2VsmNVg0cWsg7N93TN3+4bsF5OYW8vUPTxEe7jopan1DE7ngx58i50gwCJ6vgzkyd+wi74iST9IQFUW7MSN9er2GgCZuDYShI3qyft0udX/e36t5961Z3HnPRQG0yvtoIhf8BMPK37UVm4qiGCwRiEfXb1C32wwbQmh4w+iZ8SWauDUQnvvfTYwe05cXn5+pdlE+8chHdOnahkmnDwmwdd5HE7ngJlBeXF0JFjGryLENm9Tt5n161vh8Xy1SG8yfryZuDQQhBBMnD2H02H4MG3Atu3Yewmy28NRjHzdIcbOhBZ8EN/VV5IKNnAP2dHrNup/idMxXwuUJjtcOts9YE7cGRni4gc++eoShA64FICMjO8AW+Q/NmwteNJGrPWajkYL0DHX/uuHxhEcGTtDcEWyfsSZuDZCmzZpUX6kBo4lc8FLRywiWG2EwYnuvvvvgVyxmpbu0eetmhAd5JHSweHOauDVwMk/kUFJSRkREWKBN8TuayAU/mtgpuOpazDmZx9tPfcqcb+erZaedM9qPVtWdQAqdJm4NkNi4aKKiwikqKgXgvrve5M137wmwVYFDE7n6Q7D86/cFNRkbyzmZx3Wn38PRA/Y0YO26tOayW8/1hWl+wfb6366mnrfQxK0BEh5u4Mlnr+Pu298A4LOP/+DPP1Zw4y3ncM31U4mLiw6whYGhR0KUJnD1iOrEIFjFzxsBHt998KuTsI2cNJgHX7kt6LskgwkhpQy0DT6jb7/OcsnK9wNtRkCQUnLetBn8PWelU3lcXBTX3TiNm247l6SkuABZF3g0kdNwxJ1QBioS8cYz72ejdUrP9Q9ezhV3nB8QO3zB0KZnrJVS9vf1dTTPrYEihODZF27kyKETbN2yTy3Pyyvixee/4u03fuTKa87gtjvPp3mL5ABaGhi0rkoNRwIZTu8KIYS63a1vpwBaUn+p+frkGvWGTp1bsXLdx+w/9gvvfnQ/HTvZE60WF5fy9hs/0r3Txdx640vs23s0gJYGjh4JUU5z5TQ0goEEh16VnKy8AFpSf9HErRGQlBTHpZdPZM3GT/ni68fo2auDesxoNPHZx3/Qp9vlXHPFM2zfuj+AlgYOTeQ0gomEpHh1O+ekJm61QRO3RoRer2fauaNZuvoDfvz1OQYN6aYes1gsfPfNfAb2uYqLzn2EdWt3BtDSwGETOU3oNAJJRJQ9cKSoILi6TOsLmrg1QoQQnDZpMPMWvcmcea8ydrzz2O7vvy1l1JAbOOv0e1m6ZAMNOeioKjSR0wgEUkp2bdqr7ienJgbQmvqLFlDSiBFCMGJUb0aM6s1/a7bz0vMz+WP2MvX4P/P+4595/zF4aHfufeBSTj1toNNAd2NBy1+p4U12bNzD4jkrMISFEp8YS1yTWOKbxBIRFUFeTj5zZy1izZINav0uPTu4b0zDLdpUAA0ntm7exysvfs2P3y/EYrE4HZs4eQjvfnR/o55C4IgmdBo1paSolLP7X0Vedr5H9c+8bCL3v3SLj63yL/6aCqB1S2o40a1HOz7+4mHWbfmCK646ndBQu3P/15wVDOl3NYsXrvO4PSkly5ZuYtnSTRQVlfjC5IChdVtqeEpedj7fvf8rN0y512NhGzKuH3c+c72PLWu4aJ6bRpUcPZLJi89/xccf/KaWCSG4+76LmfHodCfxc8UzT3zK8898AUBkZDi33nEed9xzEdHRET61OxBonpyGK4zlRi4cegPph4+7PD5y0mDysvMpLiolJi6a5q2aMvnCcfQa1K1BDgP4y3PTxE3DI/7+cyU3XPMCJzNz1bLklAT69O1EVFQ4kVERREWF06p1MyZOHkLnLq3IPJFDt44XUVJS5tRW8xZJ/PTbC3Tr0c7Pr8L3aAKnUZGta3dy7eS73R7/dePnJDdrPEEjWoYSjaDitEmDWfHfR1x75bMsWqB0S2aeyGHuX6sq1X34gffo0DGNPbsPu2zr2NGTnH/2DBaveL/Bjd9p+Ss1KlJU6BzKr9PpnMazyyr8+dPwDtqYm4bHNEtN5Nc5L/LEM9dV261YUdh+/PU53v3ofmJilBx+hw4e5+7bXvOVqQFFG4fTcKRr747odMqtVgjBGz8+zYRzRpPSPInTzh1DizapAbawYaJ5bho1QqfTcde9F3HL7eeyfesBjh7NpLiolKLiEgryi1m+dDP/zFtDcXGpes7Nt53LaZMGA5CQEMOF5zwMwF9zViKlbJDjCpoHp2EjJi6aDt3asmvzXqSUmE0WHn+n8S5B5S80cdOoFQZDKL36dKRXn45O5bfcfh4lJWUs+3cjBfnFpLZIYtBgeyaU06cMIyEhhpycAoqLSzmekU2zBjpJVUvO3PCxWCzk5xQQmxCjemeuCAs3qNs6vdZh5g80cdPwOhERYYyfMNDt8XbtW7D2vx0ArF+3i0mnD/GXaQFB8+IaJuVlRu6++DHWLt1EVEwknXq0o3PPDrTr0preg7vRsm1ztd7OzfaMI2ntmgfK5EaF9hdCw+84rk6wcvmWAFriP7RxuPpLWUkZ9176BFN7Xc6rD72P2WwG4KdP/2Dt0k2Akv9x/fItfPveLzx7x+tcOvoWDljHnbeu3UF5aTkALdumktI8KTAvpJGhiZuGX8nLK+Tbr+ep+w1wuM0tmsDVT+Z8/w/L5q3hZEY2P3w0m3k/LwFg15a9bs8pLy1n8R8rAFi3fLNa3ndYT98aq6GiiZuGXziekc0dt7xKq6ZnqmWRkeFcfuXkAFrlfzSBq39sWLHVaf+7939BSknz1s3UskFj+vLcpw8RGWWPIt66Vul6X7dsk1rWb7gmbv5CEzcNn5Odnc+4kTfz8Qe/Oc3veeDhy2nXvkUALQsMmsDVL/btOOi0v3PTXlYuWEv/Eb3UshPHTjJq8hCeeP8+tWzp3NXcd9mTrHfoetc8N/+hBZRo+JxPPpzNwQMZ6n5aq6bccPPZ3HTrOQG0KrBokZT1A5PRxME9RyqV33fZk0Q6zPW0/WkbPLYv/Yb3VMfils5drdbp1KM9iSkJPrZYw4bmuWn4nJ3b7f98b7h5Glt2fc1td55PSIg+gFYFB5oXF9wc3H0Ek9EEKHM8bYJmNlsoyLP/MRl35ghAWRD4pa8eY8TEwZXauuTms/1gsYYNzXPT8Dlt2jpnYKhqPlBjRJsq4HuklGQcySQ3K4+8nHyaJCfQrnMrQqpJ/P3nDwvU7RETB3HZrefy3F1vsnf7AbV8wjmjmX7HBep+WEQYz3z8IL98Pod//1qFxWJh8gXjOHXaKK+/Lg33aOKm4XMMYaHqdnm5KYCWBC+awPmOstJybj1nBluscyttGMJCad+1DV16daBj93Y0SU4gKiaS7Mwcjh/NZMOKrSyfv0atP+Gc0ZzStzOfL3iDfdsPkpmRRZtOrUhNS6l0zZAQPedePYVzr57i89en4ZpqxU0IcS5wEdAfSAEOAT8Bz0opC9yc8z5wHTBTSnlphWOjgfeA5sA3wK1SynLrsTbAfmvVcVLKBRXOXQqYpJSjPXp1GkHBwn/Wqtv9BnQJoCXBjSZwvuH3b+ZVEjZQJldv37Cb7Rt2V9tGt36dGWlNIafT6ejQrS0durX1uq0a3sOT/qF7ADMwA5gIvAvcCMwTQlQ6XwgxFLgEqLQinxAiCvge+BCYBvQBbndz3Wc8sE2jHuC4TM6ShesrrfCtYUdbANX7/PTpH077fYf1pJkLb8sdw08bxAufP4Jer40R1yc86ZacIqXMdNhfLITIBj4HRgOqdyWECAU+QBEmV0vIdgUOSylfttZ/CsXDe7FCvbnABCHEFCnlbA9fi0aQcurEQWzfdgCA776Zz4b1u/lp9vO0cpgnpOGM5sV5j/RD9kVC/9r5LbHx0QDkZuWxY9Medm7cy+F9R8nLzqewoJiExDiSmiXSukMLBo3pq6bR0qhfVCtuFYTNhq0juuIkpXsBPfAyrsXtENDB2jW5GbgU2OWi3o9AEvC0EOJ32ZBXVG0EzHjkClYs28yaVdsA2LnjICMGX8/O/T8Q7pBQVsMZTeDqjpSSUof10qJjI9Xt+MQ4Bo/px+Ax/QJhmoaPqW3Ymi3sZ7utQAjRHngYuMk2hlYRKeUJa515wEmgHfCsq6rWej2BC1wc16hHREVF8N2sp53KsrPyOXL4RIAsqj9o3ZR148j+Y+p2THy0FqnbiKhxtKQQogXwJDBfSvmfw6H3gJ+klAurOl9K+aYQ4isgEdgnpXQ5ACOl/NMaQPKkEOJHKaUWZlePSUyKo32HFuzdcxSALl1b075D48tOUls0L84zpJQsnL2MP7//h6wTOezesk891mvgKQG0TMPf1EjchBDRwK+ACbjSofxSYADgUSiclDIHyPGg6gxgCTAd+MhDG69DGccjrVVTT07R8AM7tx9UhQ3g488fbpCLlPoSTeCqxmQy8/StrzD3p8Uuj/cZ1sPPFmkEEo99dCFEOPAbSlfiaVLKI9byaOAV4AWgVAgRL4SIt7Ydat0PddNslUgp/wX+Ah4VQoR5eM4HUsr+Usr+SUlxtbmshg9o1aYZTRJj1f3jx7MDaE39ReuidM/7z37uVthSmicx6byxfrZII5B4JG5WcZoFDAQmSyk3OxxOApJRxs5yHB5pwPnW7dPrYONDQEvghjq0oRFgoqIiuOjSCer+v4s3BM6Yeo4mcJXZsXEPX7/zs7o/6fyxvPjlo1x514Xc/OiVfPL3q8Qnan92GxOeTOLWATOBccDpUsqVFapkAGNcnPotSkTkM0CtV6SUUq4TQsxC6aI8BuTVti2NwHKKw6TXww7h2Ro1R+uitGM2m/nffW9jC6oeMKoPD71+BzqdjmFVrAiv0bDxZMztbeA8FJEqEkI4ZgQ9Yu2eXFTxJCFEKXBcSlnpWC14BEUgUwDX/Q4aQU1ZWTnffzNf3Y9PiA6gNQ0DTeAUfvniL3ZYs4wYwkK594UbtahIDY+6JSdZnx8CVlR4XOMju5yQUu4AvvTHtTS8T35+EedMfYDFC9erZRMnDwmgRQ2Hxt5FaTKZ+fjFr9X9y28/X5t0rQF4Nom7TW0ars15UsoDgMsQOinllThEaGoELxnpWRw6dJyQED35eYXMuO9dNm/aqx6/7a4LOG1S5SVBNGpHY/bg9m4/QG6WMlIRnxjHJTc33jUCNZzRVgXQ8Brl5Ubuv/stPv5gNu6Syjz65NXcc/8lfras4dNYBc5xTcCykjJMRhNhWtYbDbTFSjW8yIvPfcVH7//mUthCQ0N458P7uPeBS7X5bRpeo02nNNLaKd2QJcWl/P71vABbpBEsaOKm4TX+mrNC3Y6ICKNHz/Z0696Oiy45lYVL3+GyKyZVcbZGXWmM4296vZ6zHL5X61dsrqK2RmNC65bU8Boxsfab64efzeDMaSMDaE3jpDF2T1rM9gx+0XFaFK6Ggua5aXiF4xnZbHEIGomKCg+gNRqNCcesJFr+SA0bmrhpeIV773yDnBxlYfZWrZsycnSfAFvUeGlM3ZN7tu5XkyMbwg2MmTIswBZpBAuauGnUmaysPH6eZf/3/Pb792Iw1CqdqIaXaAwCZ7FY+Py179X9kRMHEx3b8F+3hmdoY24adaa0xHn5Psc0Wxoa3sRisfDDh7P5+6dF7NtxkPJS+3fv9IvGB9Ay3yGlxGQ0Ear9YawRmuemUWeat0hyErSVK7YG0BoNGw3Re/v963m8/uiH7Niw20nYhp06gIGjgrsrPDcrjw9f+IoX73ubdcs2VVt//YotvPTAu5zZ+wpGpU3j01e+VY9ZLBYO7jlCWanLdaE10Dw3DS8ghHCa25aQEBNAazQaMt9/+JvTfkxcFFMvPY2r77k46OdPPnXbq6yYr6zv/NvMubz89eMuBVlKyRuPfsR3H/zqVP7hC1/RpVcHkpo14ZnbX2fX5r3EJ8Zx9b0Xc/b0yUH/+v2NJm4adSYnp4Dt2w4AoNfr6Nu/c2AN0lBpaFMDsjNz1e0Bo/ow49XbaNoiOXAGeUj2iRxV2ADMJjOP3/gSM5e8Q0KFdSe/fOOHSsJm4/m73yQ6Nor9Ow8Bijf48gPv0rZTGn2H9fTdC6iHaN2SGnVm1Qr7ika9enckKioigNZoVKQhdU926tFO3V6zeD3Tx9+u5pYMZtIPn6hUlpuVx72XPkFRQbFatnrxej54/it1v9/wnrz41WPENVEW+s1Mz1KFzZE91j+XGnY0cdOoMyuX28VtyLAeAbREo6Fz3f2XOu3nZefz96xFgTGmBphMJpfl29bv4p5Ln6C0uJTD+47y2A0vYrEok9L7DO3Oq98+ybBTB1S7Lp27XK6NGU3cNOrMSgfPrZvDP2uN4KGheG9H9qdXKisvMwbAkpoRHhGmbnfs3o57XrhJ3d+4citndL+MS0fdTF52PgBJTZvw5Pv3ExKqjBxVFyzTe0h3H1hdv9HETaPOpB87qW7fdO3/WLN6WwCt0WjIrFq0zmk/rkksZ156WoCsgZl7Iz2qF+OQFizjyAnOunwitz5xtVpWXFSCsVzx7gxhoTz90QMkpiSox0efPpSObqbYxCfGuT3WmNHETaPODKiQ8uiTD2cHyBKNqqir9yalZP3yzXz4wlfcfcnjfPzS134PRXcMKGndsSVv//wcsQGKzrUJ28y9kerDHamtmqrjZgW5hRzae5SLbpjGrU9cjSHMPn+tRZtU3vn1BXpW+E0ZwkJ5/vNH6De8JwNG9eHV755Uj0VGhWsrj7tAi5bUqDOvv3MX330zX93/6vO/ADjnvDGMr2asQCP4MJYbOZmRTbO0FDW8/Ncv/+LLN3/k2MEMtd6K+f+xetF63pv9P7+Fobfr0ppVCxXvLaV5Mm07t/LLdSviTsgcyy9pbw8UEULQo38Xls5dDcCWNdtp0zGNi26YxoSzR7Njw26atkimXdfWboUqNS2FN2c9C0Bhvj0C9uTxbMpKyghz6PrU0Dw3DS8QFRXBow5dLKAI3LQz7ue9t38KkFUatcFYbmT6+Ns5Z8DVnN3vKrat38XebQd44Z63nITNxuY128lMz/KbfadfOF69+a9ZvJ6lf6/227VteNoV6ejRzdwbSfcBXdVjm9fsULcTUxIYNmEgHbq19dgDi46NolX7FoAy5rhy4bpqzmh8aOKm4RWuu+ks+varPL/tvrveYv26nQGwSMMV1XVN5uUUqKHmx49mcs3Eu7hszC1u67fv2oYTx07y9pOf8PojHzLv58WYzWav2uxIuy6tndZve+Oxj/waUOKpsLnieAt7UMimNXUflx4zZbi6veC3pXVur6GhdUtqeIW4uGjmLX6TP/9YwcEDGXz1+Z9s33YAKSV33foa//z7tjYuUA9ITEmgSXK809iWK6JiInnjx2dITUvhrL5XOqXC2rV5Lzc/epXPbLz2vkuY9/NiCnILOXognfm/LGHyBeN8dj0bdRE2gJSundHp9VjMZg7uPsLH64yEx8U5dV/WhHFTh/P5a98BsPTvVVrXZAW0u42G1zAYQjlz2khuu/N8vv7hKXVlgP/W7OCpxz7R5uIECVV5b0IIPvzzlWr/iIydOpyuvTuSfviEk7CBkiLLl95UXJNYLrn5HHX/rx8W+OxaNuoqbAAhYWEkde6o7mds2a62XZv225/ShlYdWgJQUlzKigVr62xjQ0ITNw2f0KFjS+6850J1/6UXZnLetBkcso7bSCk5djRTE7wgJDUthQUHZvHIm3cydupwl2Hma//dyGevfseMq56tdMxYbiLnZK5PbZx47hh1e9Oa7T6L2qyt8LijSds26nZhZqbLa3l6PSEEYx3Wr9O6Jp3RxE3DZ9w34zImTBqk7v89ZyW9ul7K049/wuRT76Rz2/MZNuBa9u87FkArGyfVjb0ZwkKZdP44nv7wAT5f8CbfLn/f6fixQ8f54PkvOX400+X5tsnHviKleRJp7ZoDUF5aztfvzPLqHyVvi5oNi9GeqSQ0zH0XoqdCN27qCHV72dzVlBaX1t3IBoImbho+w2AIZeZ3T3LtDWeqoeImk5kXnv2SpUs2ArB5015uv/mVQJrZoNmx7QAnT9Y992JoDcRKH6InKtr3+UUnX2Bfv+3DF2ZyxwWPUlJUt5u7r0QNoLyoiKPrN6j7hpho95U9tKld19ZOXZNb1+2qs50NBU3cNHxKeLiBV964g3mL36RJYqzLOjnWlEMa3uWTj2YzoPeVdG5zHk8//gklJWVOx2syqTvE4Jm4hRpCuOWxqwiPDK+RrbXhwuvPpEuvDur+msXr1QCL2uArUQOlG37Zm+9RlKlk84lISKBFn141aqPi1IKZeyP5el8UYe3sUco/r83xqUDXJ7RoSQ2/MGhwN37+/X+MHnpjpe6jttbuJQ3vMvuXfwEoLzfywrNf8s6bs7j0iolMPWsEPXt3JDa2BuIWUvlWER0bxZmXnYaUys07rkksky8YR1LTJl57DVURFhHGWz8/x2sPfcDv38wDYNGcFdzw0BU1asfXQlCSk8uqjz5l229/qGUj7rwFQ5R38n3GNE1RtwuO21cfqOp11TZCsz6hiZuG3+jbrzM//PIs8/5ezfvv/KyWn3/R+CrO0qgt7dq3ANao+wUFxbz71k+8+5Yysb5N21RO6daWlI5pdDilLe1PaUPLtqno9fpKbc369PdKZU++fx+Dx/bzmf2eEBkVwd3P3cCc7/7BYrFweO9RigqLiYr2fKK1L5BScnTdBrb+8jv7Fv+LxWFVgPZjRtJh3GivXSs2NVXdPr5lG1LKajPGVHzdvhC7QHuPmrhp+JXTJg2mIL9YFbcWLZOZOHlIgK1qmDz+9LVsWL+b1Su3ujx+YH86Bypk2TeEG2jXuRXtu7ZRBS81rSkzXWSaSUiO94XZNSYsIoz2p7Rh95Z9SClZtXAdYx0mOLvDVzffoqxs/n74CdI3bq50rP3okYx/dIZX05W16G+fHH5o1RqWv/Uew269sUZt1FTsAi1cnqCJm4bf+chhleHpV51OSEhlT0Gj7sTERDJ34et8/dVcHnvoQzJP5FR7TnlpOTs27mHHxj3V1g2mz23EaYPYvWUfAEvmrKhW3Hx1cy7Nz+fnG28n78hRp/Km3U6h14Xn0mHsKK/n4Yxv2YIuk09jx5y/AdjwzQ90njSBpA7ta91mfRCv6tACSjT8yo5tB1j27yYA9HodV1x1eoAtatjo9Xouu2ISm3fO5KFHpxMV5TrQI8JNeVX4K1myJ4x08P4XzVnBgd2H3db11Y3bYjYz77FnVGETOh3dzprCBV98yLkfvkXHcaN99p6Nvv8ukrt0Uvczd2hRk5q4afiVjz/8Td0+Y+pwUpsnBdCaxkNUVAQPPHwFG7Z9xRVXnV4pA4mnIfSO89cyjpyooqZ/6ditLZ17Kp5KeWk5l4y4iVdmvF+pni89kvUzv+PQKvsY56lPPMzo++6skwflKfrQUOJa2AOzNnzzAyW5dZ8CUp/RxE3Db+TmFvLNV3PV/auvmxpAaxonzVITeeu9e1i+5kPGTxhQo3O79+/C6Rfag3+WzVsTNBlmhBDc/MiV6r6Ukh8/ns2+HQfVMl8KW96Ro6z55At1v9/ll9DRi0EjntBulH1Cd/b+A/z32Zd+vX6woYmbht+47843yMtT1qFq36Elo8b0qeYMDV/RrUc7fv79fzz5/n3oPRw72/LfDv50yOP482dzGNZsCiOaT2Xb+sB3g/Uf2ZuEpHh1X6/XEROnhNv7eg7b4pdex1yupABL7tyRgddO99n13NFh3Gi6nTVF3c/Zf7CK2g0fTdw0/MKc35fzzcx56v6Tz16nrRIQBIw/ayQX3nCWx/UrJkkGMJstPHnzy160qvYUFdgX8Zx66Wkkpyb5PDjiyJq1HF79H6CMs42+7y50LqZT+BohBMkOiZkjkxL9bkMwod1dNHyOlJInH/1Y3b/w4lOZetaIKs7Q8AebcxQhuOaeixkyvn+Nzo2OdRaM5NTguJF279dF3Q61rkrha7Y6TM4+ZerppHStvK6hvwhxyFdZkHE8YHYEA5q4afic/fuOsdUaph0aGsJzL90cYIs0HAmLCOOlrx7jy0VvMeO12+k9uHu159z7P+fPMCVIAoMcvdCdm/c6eW0Ws5nyoiLMDhOq60pJbh77lyxT93ucc5b7yn6gZf++YI3IPLZ+o1PGksaGJm4aPsdksq/MHBUVTny8ZwljNfyHEIL2XdtwxkWn8s6vz/PZP29w5V0XMu7MEfQa3I3mrZs51V+1aD0vfP6Iuv/XDwspzC+q2Kzfadeltbp9xGG1iYMrVvHJ5Gl8eOoUPpk8jXVffYu0WOp8vYMrVqnZR1JO6UJi+8rLA/mTiIR4QiPs0zpK8xpv3lZtEreGz2nVuhmxsVHk5xeRm1vItDPuY/pVpzNuwkDi46M5eTKPb776m0MHM2jTtjljx/WjyyltgmoeVUPD1iXpjk7d29GpezunsrmzFvH4TS8BMOfb+fQZYvfwpJQU5hcRXYN8lb6gactkQg0hGMtNZJ3IobyoGFNZKXMffZryIuU1lxcWseKdD8g9fIQxD9xdp++ZxWz/4+YYih8ods/9B2NxCaAkZ27Srk1gDQogmrhp+JzwcAO33Xk+Tz/xKQCLFqxj0YJ16PU6Bg7uxo5tB8jJKXA6p0PHNKaeNYKp00bQt19nTeiCgAnnjObjl77msNUj+vKNH5yOJzUL/LibXq+neetmHNx9BFBC9I9v36EKmyPbZ8/hyH/ruOSbz9AbDLW6nqOg5R0+WkVN32M2mVj98efqfvdpU9C7SHjdWNC6JTX8wl33XVwpG4nZbGHFss2VhA1gz+7DvPLi14weeiO9T7mUSePv4IKzH2LxwnX+MlmjAoX5RaqwARzaa7+Zj5g4OGjScaW1tQtO7pGjZG7fqe4Puv5qOoyzr+JdkJ7Bf599VetrJbRupW6f2LmLnAOHat1WXTm8+j/yjym5QsNiY+l14bkBsyUY0MRNwy+Ehoaok4cfenQ6ffs5R5QlpyRw/4zLmHbOqEopovbtPcbSJRuZ8/tyzj3zQTIzc/1oecOjui5Jd5SXGV2WCyG46p6L6mKSVyloYh93yzt8BFOZffpCTEoyY2fc41T/v8++Uueo1ZTIJgm0GTZY2ZGSDd/9WKt2vIFjyq3OE8cTFt24x7Ybr8+qERB69OpAj14deODhK8hIz2LZvxvR6XSMPbU/cXHKj7GkpIyF/6zlt1/+ZfYv/5LvEKhQWlpOVmYuyUGSkb4x0cTNe953WA869/B9iilPiU9roW7nHTkKDj3aEgiNiGDCk48w99Gn1PJ/X3ub0ffdWavr9b7ofA4sWwkoc94ChanUnkItsol/1tQLZjTPTSNgNEtN5JzzxzLt3NGqsAFERIQx+YyhvPfR/Tz21NVO57Tv0IKOndP8bWqDobZemw1b/kZH2nQKns9j5t5I4tJaqvu5h48Q4jCeVpqn5FvsOH4MXSafppbvXbi41qnEmvXopo7Z5R9Lpzg7u1bt1BWz0T7FQRckXcSBRBM3jaDl9Ve+4+7b31D3Y2Ii+ejzh1wupqlRPXUVNoDYhNhKZWHhYS5qBo74lg6e2+GjJHa0C/LxrTvU7bEz7lW3S/Pyydq7r1bX04eGkuKQkT9jy/ZatVNXwuPj1O2CjMY7v82GJm4aQckrL37Dww+8p+6f0q0ti5a/S/8BXQNoVf3FG8IGlTOTAETFBMfaX7YJ29EpyaonVZKbS0zTFLVOxhb7wq1Cp6P9mJHq/s6/7OnhakrTbvbvZcZm14vD+pqkDvapG7UV6oaEJm4aQceLz33FYw99oO4PG9GTf/59m06dW1VxloY76ipsRYXF3DDlPka0OJOFs5dVOt6+a5s6tV9bZu6NdHrYEDodzXp0U/fz04+raakKj5+gKPOkeqzL5Inq9v4ly2rdNZna0z7nb/f8BU7z3/xFYnsHcduzL2hWbAgUmrhpBBU//bCQJx+z56EcOboPs357nujoiABaVX+pq7BlZmRx6cib2bR6G2aT6xt2xwqTvX2JKzFzRbtR9pW4d8z5i0SHNdUytmxTt1v270topPLdyjtylOx9B2plV6vBg9RuwcLjJzi4YlWt2qkL0U1TMEQrk+jLCgqcRLwxUq24CSHOFULMEkIcFEKUCCF2CiGeE0LEONTpJ4T4SwhxVAhRKoTIEELMEUIMcdHeaCHEDiFEvhDifSGEweFYGyGEtD7Gujh3qRBiUR1er0YQU15u5FEHj23MuH788MuzREVpwuYPigqKeeaO15jQ6ULGtD6b8R3O58xeV3D8aKbbc2LiomjWMtmndnkqaI60GzVczcx/ctcejm+1C1reUftcvZAwA62HDFL39y1ZWisbS3JzkWZ7Oq9j6zfWqp26IIRw8t5O7tnrdxuCCU+mAtwDHAJmAEeAPsDjwBghxFAppQWIB/YAnwHpQApwJ7BYCDFcSrkaQAgRBXwPvABsAJ4DbgdedHHdZ4BK4qjRcFmxbDMHD2QA0CQxli+/fZzIyPBqztJwR029tg//9xV/fDPfXuBieRuA1LSmpB9WMs7HJsT6JHtMXZepiU5OZvCN17D8rcqrcR8oaULudntQUnH7EfDPIgA2zVtOweDp1bY/tqvdi92zYDFzH33KKVdldNOmtTe+DiR1aEf6xs2A0jXZZujggNgRDHgiblOklI5/3RYLIbKBz4HRwAIp5T/AP44nCSH+Ak4ClwGrrcVdgcNSypetdZ4CrqOyuM0FJgghpkgpZ9fsJWnUVzJP5Krbo8f0dZoeoFEzatMduXJB9XO0mrdpxu1PXMND1zyPyWji6IF09m4/UOdxt7qI2YLtrqNnZe+LiB28j/yVzoEihqYtnfaje9g9t9IDOynZv52ItlUHLi3YrlcFbv3X3zkJW9Nup9DtzNPdnepTEtvbu18be1BJtd2SFYTNxhrrcwsXx2wUAWWAY1qDQ0AHa9dkInAp4GoJ3x+BdcDTQksq2GgoKCxWt6ODJAKvPlLbcbYmyQkuy8PCDcRY/2gcO5DB/Vc87bTEzRuPfYy5lgEUNe1utLFgu159uEMIQfNrHqLFjU8SP/IMwlt3In7UVCLad3Oqp4+MwZBqD1Y6/OYMpKX617Ngu569i5ZwYpt9ekHLAf2Y+toLTuuq+ZPEDs5BJY2Z2gaUjLI+O03oEELohBChQohWwFvW4o9sx6WUJ4CHgXkoXl074FkX7UtrvZ7ABbW0UaOecTw9S92O0cStxmzOKapTAEmP/l0qlelD9JSVllOQV+hUfuxghrq9ZvF6Pnjuyxpfr7beWlWCVhEhBLH9R5F6xb20ffRDUi+/G+FiBfikMy5Xt8152ZgL8qptO2/FXP5+9Bl1v/2YkZz5+osYogK3MkJ8K/uE+oLj2mKlNUII0QJ4EpgvpfyvwuHvgXLgIHAOMFlKuc2xgpTyTZQxuY7AICllFi6QUv4JLAWeFEJoacIaAX/+sULd7tW7YwAtqX94Yx7b2KnDK5U5RkjGNYmleSvXY0lfvvkjC2Z7HoxRF2+tNpQtSnf5sBE3+FR0EXZRKjlgT7YspaQs4xAlB3ZizD5B7rK/OPbJcxz76BmkSemYikltxuj776qVbd5E6Bw7uhp3p1eNREMIEQ38CpiAK11UuQ8lWCQNuBn4XQgxvqIISilzgBwPLjkDWAJMx8EDrMbG61DG8Uhz80PUCD7MZjPr1tpvKJPOGBpAa+oX3pqg3blnBzp0a8OerQcA1HXRAPoO68nTH95PTHw0L973Dr999Xel85+57TXadExzWjC0IrUVNU9xFKya1A8bnUpU134UrFsCwJE3HsDQNI34UVMozzhE7pLf3bYR1rwtKbc/R3hs5ewt/sZx7E+nb9wzvTx+9UKIcOA3lK7E06SURyrWkVLuk1KukVL+BEwCTgBP19Y4KeW/wF/Ao0IIjzqxpZQfSCn7Syn7JyXFVX+CRlBgqjCHKie78a4gHEjuef4mddsmbADN0lL49JVvmdDhAmbPnOvy3JLiUh688plKXZg2aips1XlqVXliNaVsUTrJZ13l5L2VHz/Mie/fqVLYIrv0ofUDb2JISq21V+lNHKcjuOp+bUx49OqFEKHALGAgSlfj5urOkVKWA5uADnWyEB4CWgI31LEdjSAmLMxAn772/HznT5tBQUFxFWdogPe8Nhs9B57C1EtPq1Q+59v5/PDRbEqKS6vMfHF43zGeuuWVSnVqI2zuqKuQuWV3OKljHyGyaz+3VURIKJGde5N01lW0uvdVWt3zKvoodcpvwAXOsVvSVF7u5Mk1NjyZxK0DZgLjgDOllCs9aVgIEQn0B+o0k1BKuQ5FWGcAgV3DXsOn/O/VWzEYQgHYsf2gUwouDf9x6+NX06pDy+orOjBodF91e+nc1axaZF9UtibCVpW35g1RK1u/Q324IqxJG5r1v5c2F3wCwn571EXG0OF/39Pl/fm0vu91kqdcQVSXvi7n+AVS4MJiY4lMVJa7MZWUkrVvf8BsCTSeeG5vA+cBLwFFQojBDo+WANZMI88JIc4RQowSQlwOLAJSqUO3pAOPAIlAby+0pRGkDB7SndffsQ/Kf/LhbI4c1rKbu8PbXpuNqJhIrrn3YqeyngO7cuVdF/Lk+/cx7NQBlc5ZvXg9E8+zr3C9ymHF9Evae+aBV+et1QRHEXMnaLay0hM7OLHsbXI2/6J6OjpDJMlDb8TQtCWxA8bS9uH3CE0M/jF8IYRTXs2V737ktFhrY8ITcZtkfX4IWFHhcY312CqU6QEfAH8Dj6FkLOlvHTerE1LKHUDNY4016h2XXHYaw0f2AsBstvDOW7MCbFHjI/3wCbau2+lUtmn1dooLSwgJDWHSBeMqresWHhFGz4GnqPs7Nu5xOu6JwDlm/agN1XllrpAWE+nznqdw37/kbPiW4iP22LeYdiNoOeElkrpcV2nid3UE0nvrcfaZ6vbBFav4bOq5LHvzXUxlZQGzKRCIhpw5um+/znLJysrpdzSCm7/mrOC8s2YAEBUVzuy/X2aAw41TQ8EXntum1du49ZyHMJYbq6wXHRfFpbecS1xCDPm5hfQf0YsmyfGc0/9qLFbv562fnqXvsJ6VzvWkm7KqrsnqqIm4lZccI3Ovvfs7adA1xHYa77Z+2OhUj9uGugt2bVn6xrts/PYHp7L2Y0Zy2tOP+SRdWk14e+jYtVLK/r6+TuMOp9EISiZMHERnazh5UVEpY4ffzJB+VztNFWjs+ELYcrPyuOfSJ6oVNoDCvCI++t9M8rLzuezWc+nauyNNWyQzfpp9fbT3nv3C5bmXtC+u1pMb29XsUhjCRqdWKzBhfbo4PaqiNN/5O6ULqzrlW027RwPlwQ29+TqG3nI9ManN1LK9C5eQvmFTQOwJBJq4aQQdOp2O1966g9BQ+zTMLZv3cdbke8nWpgj4jPm/LKEwz71o6kP0jJg4mJh4RQBMRhPL5//HU7e+QpE1svWmh6cTalA+ty3/7eDgnkozhlR8LXJqXRdiZ9suyFzsVDcytbKnWZHaCJy/RU6n19Pn4gu47IevSO3VQy0/2YjyTWriphGUDB/Zm9/nvsJkh8ncOTkFLJhXMSlO48NXgSSOQSAA488ayYSzRzHuzBHc+cz1LD78M4+9czd3P2uflbNp9Tb+/H4BD13zHBaLhZTmSQwc1Uc9vuW/6rsIPRU5V9hErqZiZyw8QeYq57wQkWkD0Bk8i+z02XQELyN0OtIG2nsAi064X76ooaGltdIIWoYO68HQYT249ILH+PVnJXNEaSON/PIlZrOZrWt3srKCuD369t2EhNg9jkV/LOepW16hpLi0UhurF63nh49mc8F1Z9KtXxeWzVNyq69csJbTL3Q/huWITeDcjcnZBK4qL8iVwFUUobLsgxyb+zjSWOJUHtNuJFVhG8tz7OosW5Tusag6riTgT6JT7OvtFTQicdM8N42gx3E6QIsWvl0YM9jxttdWVlrOdZPv4YYp91VaadtYpoy9Zaaf5OUH3+Whq59zKWw25s5aBMBQh6kCi35fxoljNVsR2ubJufPm3HVVusPRszOMasaJZW9VEjaAsGT3+Uwdg1QqTSmogQcXiDE4R3HTPDcNjSBh396jrF9nXxWpZ++6JrzRsJGdmcsD059m+4bdLo9nncimrLScW895iNysqrPk6/U6Jp0/FoBO3dvRa9ApbFy1DbPZwqI/lnP+tVNrZWNV3pwrgasoHlJKMr58mfyV87GUlRCalIoxt7IYRTTrTkhEvEsbXEVflq3fUcmDA8+iKf3twcU0TVG3cw4dRkoZ8IhJf6B5bhpBS2FhCVdc/IQaWj5kWA8SExtvvlBvem0nj2czfdxtVY6J3Xf5U8y46tlqhQ1g2vTJnHv1FHV/2ISB6vaHL3xFeh0n43syLgd2r8726Bt1gNzFs7GUKZ6a8aRrL6skYwslGVurbDsrbwdZee49OPDci/OnBxfborm6DE9Jdg4nd+2p5oyGgSZuGkHLyy/MZMN6xavQ63U8+78bA2xRYKjrOm2u2L5+NyePZ1dZ58Cuwxzed8zlsW79OtOtb2d1f/n8/5zySZ51+SR1eZyigmKev+sNiosqdwX2SKhZRr2KImc2mTAbjU45FMuLS1jyypu8PXQsX1803eO2T67+FGl2ngZhEzBHUatvAqfT650iJv96+Amy9x/wy7UDiSZuGkHL77/Z1wd75Imr6T+gawCt8T++EDUbg8b0pc/Q7rU6t1u/znw452Xe/uV5IqMjAGXx0n07Dqp1omOjuOPp69T9NUs2cN3keygpKqVHQpT6AJz2PRW7S9oXc/Kz1/lwzETeG3Ua7wwfz3fTzmXh8y+z6Yef2Pzjz9W2EdNhDJFp9vFBY94RTix/VxU4V8Jmo74J3MCrr0AXquRtzT96jB+vvYWMzVV7qvUdbcxNI2iJiLCvctS5S6sAWuIdfCVUtcEQFsobPz7Dn98vYOHspaxZshGT0VT9icCI0wapbQwe248F1j8hc2ct4saHp6v1hozvz6AxfdUpBvt2HGTznGUMvK7q8beKAufqfTOZzPz48WzMDku8nDyezcnf/nDbbmzzVEY/cDcpnTsxb+FBItp3p3zJcXI2zSJno5LNo+jAcg4d305EdHdikoaRU3jAbXtZeTtIjFPG3SqOwUHNxuF8TUrXzpz25MPMe+I5TKWlGIuL+fvRp7j4m88IDQ8PtHk+QfPcNIKWEaPt86U+/2ROAC2pOTavy/ERbOj1es646FRe/voJZq35iLuevZ4Xv3qMpz96oFLdkFC7hzHAYR7bqdNGqdu/fPmXU9ejXq/nxa8eY8rFE9SyO255lSsvfYoP3v0Zoxsx3b/vGDO/+Isd2w4AlT27HglRLJmzwknYPOHPdR/wwAVdCIuJJrJjT3W9s/geZxPT0T5dwVySQ2Hmv2TseR9pqVrwq/PgoHovzl/eW7tRIzjn/TcJi1Em4RceP8GhFav9cu1AoImbRtBy5dVnqNvz/l5VL9Z3C1Yhq47k1CTOvXoKw04dQJ8h9vEZvV5H/5G9MBmV6L7YhBg69WinHh9+2kBatFE8k4LcQr57/1endkNC9Fxz/yVOZT9+v4C7b3+DR2ZUzvs6+9el9O1+OTdc8wIDel/J8mWul478/VP3C4i64uZHr3SKELRFK4aNTkUIQdKgq0nsfzm6MPvabNKYgyl3bbVt1yeBS+rYnlOmnq7uZ+50HSnbENDETSNo6dCxJd26KzdSs9nC+iDNLRnM3lltiE+MJSpGCb03my2c0se+iGy/4T3R6+03Yr1ezxW3n6fuz3x7FjknnaMrk5slMuHsUVTkpx8WVVrUdMmidU6rst94zfMubbTlHq2KyMhwBg7uxozXbufim85Wy11FXQohiOs6mWbtbye2qYMXV7QfU2H1S1LWJ4GLbW7vJi3OyfHLNQOBJm4aQU1vh9W5v/zszwBaUpmGJGiOCCEYMXGQur/2343qdovWlcePJp4/jjad0gAoLizh3ac/q1Tnodfv4JE37+Tu5+ypu9KPneTTj2Y71bvuxmlO+/v2HmP3rsOV2nvptdv43yu3MH7CABISYiodv+f+Szie+yf/LHmLB286i55NKidEdvTebAhdCNFJw9BF2sXTlLMWS3n1IlBfBC6ySYK6XZJddcRsfUYTN42g5uJL7eM13349jz273Sfi9RcNVdQcOe1c+8KjjnPUbNGRjoSE6LnlsavU/d+/mccvX/zlVCfUEMqk88dxzlVncPaV9m6xB+59lxMOUxI6dkrj6x+ecjr37ttfr+ThhYcbuPGWc/j59/9xMONXVq//hAGD7MsizZ9beSzJMVDF5r1VFLiwPl0QQhCaMAARaptTacF4cinSUrPUbzVZescRXwtchIO4FWdrnpuGRkAYOboPExy8iK+//DsgdjS0rsfqaN3BvjhnabF9kctv3vuZ8rLKS+IMHT+AMVOGqfuvzHiPvdaAkIrc/MiVNG+tLMVSUlzK0CE38O/iDerxM6YOc6q/8J+1fPaJ+yhIIQRdu7Wldx97+qzklAS39W24EziApITuhCYOA6EElEtzEcaslZVE1kZiXBc1ctKRukwT8BWRTZqo25q4aWgEkMunT1K3Fy9a79drNyZBA8g5mcf7z33J2f3snphjBGRBbiFXnnq7y5RdD71+B516KCt0m4wmXnrgHZfXiIgK59bH7e0fP5LJWWfcx6x/NyOl5OTJPFKbJzmdM+v7BVXabTabmfXDQnX/+pumVVFbwWKxkLZrAWajkdEdFa8sbHSqGtKfnDSQ0Cb2P1aW0mOYC7Y7teFO1BypjcD50nvThdhngElzYBZT9QeauGkEPX362TNhuBp/8RWNSdRAySQyre90Pn/tu0rHHCMN9+88xHWT7+bdpz+jrNTeVRcZFcHj79yDXq/cVjau2kZRoesI11GTh/Lk+/cRGaV0c5aXGZk+7jYSYybQrsU00iskW165fAulpe67BRf+s5bsLGWtv6bNmnDqaQNd1rN1TRrLjdx98eM8MP1pcr95l28uvYquRvvYok3gUlJPRR9j//6Z8jYTpTd4JGqOBJPAmcvsnrg+LKyKmvUbTdw0ghqz2cyrL32j7sfEVB7z8SaNrfvRkXk/L3bZ5Qio3XF66xI4ZrOFL9/8kWsn3UX6oeNqvTad0khr30LdP7zXdfouUNaLe+nrx1QxBDCWu55XVlZm5P13XGcdmfP7ci678HF1f+LkIeh0Vd/a5v60WJ1c/u17v5B76DB/PvgYxqzjTuNvAE1bnY8w2DxJSc7hHzEb/bNori8EzuSwbFSIJm4aGoHhjVe/56P3f1P3Dx087nbcoy40VkFzZOHsZU77Q8b145r7LiEhKV4tM5vMatcjwJ5tB7jjgkcwlttF0XG8zjEll42ZeyPVR+/B3Xnhi0do5XBORGQ4nXu25577L+G6G89Syx9/+ENuv/kV/l28gc8++YO7bnuNQX2u4oKzH6KwUOk6jY+P5o67L6zydUop+ebdykJZkpND7oczsJSVVAgw0dO07eXoQhSvz2IuJvvwD0hZfZeet9J0+QpTqfsljOo7mrhpBDUZ6VmVyl545guvta+Jmp0dG53H0V786jGuuvsivlvxPv1H9FLLQ0L13P3cDarHdXjfMf5yGO/q2N0+yfufX5VFZh0FzZGZeyMZOn4A3y57j6Xpv/HPvh+Zv+8HPp33OmffdRHPv3Qz/forHpTJZOaTD2cz+dQ7ufWGl/jwvV/ZtnW/2lbLtBTmLnyDDh1bUhWZa7erohsRGc7znz2seqQnd+/B9ONzSCmdBE4fGkuTtPMApXu2vPgwhSeXV3kdm7DVVeC87b3Ft0pDb7DmmTyWzsk91c/jq49o4qYR1Dz8+FVcec0ZTmVvv/GjugxObdFEzZn8nAIK8pzfD9vipdGxUTz46u2EGpRAhG3rdtF/ZG+uuudite7cnxap26edY59GsOKftcx4uepgEJvo6XQ6IqLCncb3dhSW8eW3j9N/YNVJs6OjI5i36E26dmtb9QsFVjhkPTn17FGMnDSYu5+zrzixd8Fi4lZ9DjhPEQiLakNs03FqvYLMfzGbPPsOeTIHriq8KXAhYQbajhiu7m/9pWbZXuoLmrhpBDUxMZG88c7dpGfPIcT67zo3t5Ctm/fVqr36JmrZJ3I4vdulXD7mFub+tNhn19m6zjn7y4CRvQm1/rsHSE1LYeh4ewb937+Zx/izRqj7OzfvRUrJzL3/b++s46Qs/jj+nt3rLrq7REBSSQlBKVFECRtERcXuDn4q2IkYGIgdKKg00iEh3SDNBde1Mb8/nu2428u9W+b9eu3rdueZZ56Ze+7288zMNyJYbmpK416X2I4tf/V11n88u9jlZE8JSQHSo6NYuvI9vvr2ORISYwCc9ulAy/33/bdLihmlRq3adlN4q0HMlTcM4epb7P5362d9RuOzywFngYtKupigUG3/TZoLyTrr+Z6UNJOAL8uT5SlwbYYOsb0P1OwAStwU1YKoqHCGj7Q/bf7w3bIiajtTXY1ENq/+l2Htr+dcSjoHdh3h0xlfV9i1atWr4fT56fcecKtzQRe7deCcd39kxYK1ts/ZGTl8uDrL9rn/4w9Ro3VLm9n5pk+/YNEzL2J0sNTzhDeB25Gey7q1O2wWkZ6CJu/acditzBPtO9izua9f9o9N4KY+P4nOvS60HVv0/P/onqQZy1gFLuyidk7huXLSNmEscF469yRsniiNwJUXCc0a295nnT5dIfvY/kaJm6LacPWY/rb3n3z0K5mZRYtVdRQ0K6sXbeSuqx53KuvmEI2/vGnSqiHX3X4lF3Zryyd/vUGiByfoMyeczfPnf7PY6fN/6zfa3ofHxXLlO6/RsId9trd/8TJ+vfsBCnPdk5Za8ZZtW0rJD98Wvbw5YlSfIo9b6dK1DQ0siVTTUzNZ+puWsicoOIgXZz1qczA35uVzeNUaNyfvsOhWhERYUzCZyTxjnzEWJ2zFHa+s/bfIpCRCojQDmYKsbHKSU4o5o/qhxE1RbRg2oifNW2gxDDMycvj+G8/LUNVZ1ABWLFjDoze96FZ+37TJFXZNIQT3PDeRD397lTYdW3isk+eSSfuoSyi0LV/NdZoBhERGMmTac1wwyp6/7fSOXSx65gXMHpyHvQkbQLvYcM6c9h4HsWfvC7l86MVejzsSFKTnVoeccrNe+YqsjGwAYhNiGDFhsO1YjdQDgHMUk7CL2hBb2x4WLi9zF4W5voeFqwr7b0IIEpvZDX8C0ahEiVs14o/5a2lYeySxYQPo3f02Nm3cXfxJAYRer3cyLnEcf3VdegT4+491zHrlK04cOc3efw/wzO3TbcYcVp557wEnQwt/YJ3ReCPz5GkKsrKcyvRBQfR5cCo977YbbBxZvY7Dfzu7HRQlbO3jI9Hr9bzxzr2EOOwDAkRGhvHoEzfwy/zptj1ZX7jxlqHExWnBlE8fO8v/7n/bJsyNLQ9QAEcPHHcL0wUQ3XMg4TH2WJYZpxeSku75/9GU+x/5J34m/9h3FJxdgjQbqsT+m6O4pR4o3R52VUaJWzVi1oe/cC4tE7PZzNYt+xl5+UMeTeUDmVSHdCppqZnVVtCsJJ9O5dGbXuSz17/hmu4TuXnQvW6O1B16tGOgj0tuFckQh2DKnggKCyM02j1CvxCCjmOvoVY7uxiYjXZn7eKEzcqtt41g07+zeX7abTz93K18+PEj7D3yPU88czNhYSElGQpJSbG8O/Mh2+flv6/hzisf5YdPfuOP7+wrAtEWAXTso3V5MunS27B+hRbm/oc537PDujFjO5gLADOyIBlzQTJQdgOTspLYzG5ZmnrIt/3K6oQSt2pE+wubO33OzMxxiqcX6Egp+eoLe9qbtr07+q8z5UTqmaID18YmxPDcBw855VDzF0sNTWhx2QCvx02GQgx5np2CpZSk/2cPnVazbWvGN8stVthycvKYeONLNKw1glZNruGrz//k+puu4KHHJjD+hiHExrqnsvGVkaP6OGUo2LZuJ68/PtPJUKbTJfbEreOb5TotTwbH1CamlX150pRzxO0a0lyINDrPZnW2bAPOlHSJsqyzt8TmauamqCI89NgEWrRs4FS2zUMA20DDOjv753Q6Zy1iIIRg+LhBfu5Z2anToGaRx598+z5qugQR9gdWK8Ze99zpNR6hNJk5uWWbx2MZJ07alizDYmO4o7f7F/ypY2fZvnE3F8RF2GZsv/70N9/OXcy5c1mcPJHCq//7knbNrysyS0BJ+OjtexgzaYTNiduR8Igw+jhkpLDiKHAxLexGTrLgLFI6W3Ga8886fRYhCQhLpBPX2JTWcF9WKnp5MrGpfeaWfvQ/TAbPodeqK0rcqhFRUeFO4YgAp1xYgYSnPbSQ0GASasQB2kzg2CHvcQurC7EJMbTv6tlBedydV9FzUFePxyoL16giEQnx1Gnfzmt9b5mdz+6yz0o6dm7htn94YOdhru87hcnDHuKu22fYyo8eOe1+jdx87r59BpvLITN7aGgI9754G9+snsn4KVcxbOwgbnlgLA9Pv4s5K9+nRh3nBwvX/beoK7sRFGn1eysgJtQu2lJKDGnrnc7XhzdwC7oc2qm1m7BVBiGRkUTX0fZRzSYT547+V+l9qEiUuFUzLh96idPnDet2UVgYGE9cxRmFCCGcfK22VyGDmtWLNjLt3rf4Z9W/JT431kMm6XYXtWLyY9eXR9dKjTefs9Ao70uBtdp4/pI+s8t+r9p2aul2/I0nZ9pS63zx2QK2WJzK09Lse6xdurWhZSvNBF8IwaMPvkdaWvkEMK7XuDZTnr6Fx9+cysSHx3PlDUOoXd/zrNpR4IQQhLeyP5wYC1JJjG2NuTAdQ9pakM7/m4k17Xun/hI1R5yMSg4G1r6bErdqRqPGtZ0iLGRl5fLXH+uLOKPqUxKjEEdxK42QVASfzPiahyY8x+9zF/HM7a+WyCE2+VQKG1c6L+VFxUTy/MyHnSKEVDbehA0g68wZr8fC4z3vJ6UdOmJ738p17zg9m61rnaNkzJ+nWVOeS7PvV028bQR/r/sQ0GZFa1dv567JM8rsgOxotOIrjgIXUsu+VWCKzCbt+M8UnvkTc67zTCg4vB5BoYklErWKNixxMioJsH03JW7VEOvTq5Vfflxeqdd3nGEV9fK1jZLQtU9H2/tlv61i/86K/4c0m83s3rqf5NPulqknj57mk+n2yCHhkeElMtmf+b8vKchzjtrx8PQp1LE4GfuDooTNbDKRfsx3ny4rNULsaVYiHdIWtY+PpPDQcTeB+neb5nflODNLSIwlMjKc6W/cbSv77deV/DF/Lf7AKnAdOtlT/GTuXUheuod9R6Gn1oCpfp+puZLY3J7hIfWQEjeFn3E1Kvl324FKu3ZJxKi0wlcUrS5sboueYTKZefe5z0rdlq88M3k6tw6+j6u73MqOTc4WbbNeneP0eewdxWeAtrJ3+0H+cMkw3aRVQwaM7O3ljPLnx09/Z/Kwh3hx6pu8tyy1SGEDOLpmHYXZzvdPFxzkpbbG+Ga5CGH/qjGbNSGzzpiSz7rv02VladdwjEITE6vVnzh5JP36X2QrX/B70dH5K5LxzXKJa9igyDpRTXpRf8R0QuIbFlnPH6iZm6JK4Spue3YfZdVKz1Zq5UVV8ifTOQTN3bhiS4VeqyCvgCXzVgJgNBidxOznzxfw1w/OrhiXX9MfX5BS8s4zn7jNWK6ZOKLSnLWNBiNvPPER2zfuZsE3i/nr6ReKPWfHT/bcesG16hPWpA1mg+azpgsKIjQmxqm+dXaj09nHJM3SaSkwOTnd7To1rQ8wDs7swRYRDQrS89hTN9nKV1iSjpaF0ixNWpnYJ9HrsTqDnqJmr7sIialb6vYrcmkyrn59W/qbnOQU8jMrJwlrZVD0I5eiStK6TSO3shvHPcfCZe/QrHk9D2eUnqoiaI5c0KW1LbFmUHAQZrO52MzLpeX0iWSnz5v+3kp+bj5hEWH8Nmeh07E6DWoRHhnmU7v7dx5m82rnPUO9Xsegq+wGB8XNosqKNJsRQXoo1MzXU/YdwJCXR3C452zn6ceO2+NHCkHD+2aQu28bpw5rxiJJzZuhD7J/pTj6sDkKdqNIu8O1lJL5LklSAWrX1gTDMUCyYyaA9hfal9POFuMrWNHEJcYSEx9N5rkst2OnFr1A47GfowuqmhmvdUF64hs3ImWftvqTevAw9Tp1KOas6oGauVVDevbuQGys85Pm2TPnGD7kARb+uZ45X/xJ5/Y30qfHZFIcInqUlKoobACjbx1ue280GPl0xtwKu9apY87GE1JKWxzCsyedg83GJTrPWooiOjbKXZD1Qfx4PNZjUs+KwGQwYnKxtA3y4sMGsOPn32zvG1/Snct6JpK/xD6TbdpPW0715JwtHGZu1mVJgD8XrGPliq1u17IaSXkTt/DwUJtg5uUVkJ9fiD9p5uGB00pBatVe7kty3Hc7WLX7WhKUuFVDwsNDee6l29zKj/13hqtHPMrtE19h397/2LJ5H889NavE7VelJUhPdLr4AsZMsge+/fS1uSydt6pCrnX62Fm3ssiYSH7+fAFpLstpPS/r5nO7dRrUZOjYgU5lpsJCdv5aeYkjk/fuc/qc1KI5wssM+NzR/9jx06+2zxdcfSUHl66w+UaFREbS7srhXiOOxIbaLT8dl2KXLt7oqTqnTmkPDtnZ9vZCgu1tBAXpadiolq29wwdPeGynJJRlaXLcnVd7PRbW07vwVQUSmgbmvpsSt2rKLZOGM+76wcXWm/3JfC4f9gjvfb2ETSfTymzlWFL2bj/IpMsfYEyPSTx7x3TycjyHZyopdz17K10dUsC8eM8bnPDg8FtWcrKcv6wjoyM49d8Zpj/8vlO5EIJrJg6nJAT1GupWtvaDWeSmld0xX0rJvoVLOLRipVdT+bTDR5w+p+w/QN65dKcyY0Ehu+bN5/tb78BUqM2Oklo2p0GXi9g4+0tbvQvHXMWtnTxHy2gfH+kyc7PPxvbvO+bpFGLjosjOzuPwIW2/Sa/X0aSZfd/q9KlUp+VIf6cj6zmoK9dOHulWHtXhEkLrNbXFoywtFbnvltQ8MH3dlLhVU4QQvPvhg25O3Z5YtXADj970IkPajOPpya+ypxKtKz9/41t2bt7L8cOnWPjTCuZ/s6hc2g0K0vPCR4/QoKn2hZefV8Dnb35bLm07Ehnt/DQfFRvJop//dqs3e8lbRPsY59C67Fi7XVtCo53PMeblc3TthtJ32ML2H35m0bMv8cdjz/DfOs/txdRxj/J/cJk9s/S+hUuYc+31LHv5NQyWHGy6oCAGPvUoh/5exbnDRwGIiArnxUeu8HgN62xI58FaMj+/kE0bPDvit7ugCTss2b1Bc38JD7cvmT7/zCfkWVwoOnRsQeu2/p8dTX1+ElOevtn2Ob5xIya89TQD2mpiHtqvTrEiV7BlT6nS4JSFBEdH7kOHkGZzEbWrD0rcqjF7sgt45IOHGHvHKKf9CG8U5BWw+Je/ueWye3ly0svlNovyRlZGtlMQWoCDu4+WW/sxcVE89sY9ts8rFqzBaHTPE1bWazhy9kQK51LS3erVrONb/EfHvTRdkN7Jz8hK9tlktzJH0g4f4eDyv1m4PpOlu/VuryU7YeUb79rq71voOe9d/a6dqXdRR6eyXMvMbcfP81j07EtOfRE6HRffOYnkvftZ/c6HtvLRtw4nxiXKSvv4SKdlPkeDEuvMbc2qf8nI8LxScN24Qcz7ZaXt84UO2bM3rN/Fl7PtAbSfeWFihRkUlRTHjOYd29dHH6IZzzimy/FF5CqTiIR4wuPiAO3hKvNU+a+AWKnMjN/KWrKaYl0+DAkN5u5nb2X8nVfx78bdpJ49R0ZaJgd2HWb3lv2cOeH5i3LpvFXExEXx8PS7KqyPc9790e2P2fGfvzzo0L0dCTXiSEtOJysjh5NHT9OwWflZjLrOxqSUZKVnu9V744mZPPvBQ27lVrwZiCQ2bewWbNgxer4jf61K4b83H6bw5BEAwhq3oslTH7nVy97uPFM7k6nzGGBXmk2c2ukcnzGpeVOklGz89AtbWXhCPB2vu4aEpo35+7W3yXL48tMH6bnOZTnOde9KSum0/BgVpVljrl7pHmFm7ITLCAkJpmXrhtw+8RVb+ZVX97W19fTjM23lw0b0YtBg3/c6Kxpr7FOADcu3cMr0ClG1atLlxvH0bxPidB9C+9Up0XJjwfJTFSKKQggSmjXhxD+aW03a4SPE1tNWRAqysknet5/MU6dJPXCQ1pdfRo1W7uHTSnKtykKJWzXE075YQs14+rksUUopObjrCPO/Wcy3H/3qds6SX1fy4Ct3VshTb+a5LL5xuWZQcBBDrrkUQ6GBDSu2knI6laatG3kNHFwc+3ce4p1nPnEy7EhPzShfcYtzX2rc+PdWrrv9Sr758Bdb2cKfVnDjvdfSxCV6THFWj46b+VZO79jlJkbSbOLAw2OcyoyZ6W7nSrOJlF+dHdvDGnn+Mjr58UuYC5yzazfs0Y20w0fITdX2/YJCQxk751P+mT2Hte+7C2mzNo2JS7SH3PJklDHv5785sF8Tt8jIMHpY0sjs2+seqLd+/ZrcPmUUg/rdbZuFd+3elsuHXkxhoYGnHptpE8WgID0vvny7x7H5i3YXtSIkNJjCAgM5WbnsWfAXALkpqVz62INFnlvZy5EAeefSWfX2+zZhA5w2MFfMeJPDq9aQ0KQxZ3ftYfsPv9BpwnV0u/VG9MElDw9XmTO3qjGXV/hMSQw+hBA0b9eEqS9M4pEZ7jO0rIwcTv3nbg1YHiz9bRWFLubZz7z3AEf2HWPYBRN4aMJzvPLgu0we9lCpAyB//OrXbHJwXg8JDS73sFWe9tFysnKJjY8hKsb5i3zBd87Lf76Y88c1qO9WlnniJKZsZ2farH/c9/kSBlwFWHKlrf6T3bf2Zc+k/uQfdZ6NRbbv4XauKTeLzPXO/e3zwD0EhYayYZZdHBv26Maadz5k27c/eOx/yulUTCaT2zKkldOnUrlnyuu2z2PGDrQlFs3NdV8WDwkN4uoRj3LooJbxISIijJmfPMrHM+fRoc0E3n/nR1vdiZNHlLtfZ1kJDQ+l92D33/fB5e73ryqw4JEn2ffXYqeyqJra6oo0mzm0YiXGvHxbVgdpNrP5i6/5fuKdpXIbqMz9PCVu1YSyWjIOvrofIR6yFR/YVf7WUYZCg1O8RYAJd40G4P6xz5Dlss+Sk+09YWVRZGc6t3Pt5JHUqO09WkRpiI71bB7+y5d/uOVZ279D+2cviZ9aSKTn9k15zmM78827Tp/r3PwoCYOvRZqMnPzoeU59+j+P7cT1GUZobffwUIXJ7sthbYdfwZHVazm0wu5WkXX6jG324Ym05HQOLNnETeOf51cXQxspJVMmTyctVRPqevVr8Py0ybbjrpF2ANLPZbN1iz1H4XszH+KXn1bw4L1vc9zBLeOKYZd4dIepCoybcpVbWc3WrdzKKiPbdnGkHXbeA+849hqSWrawfZYOPol1OtgTt6buP8h3t9zBv9//5PO1zu7Zx7yp3pfuyxu1LFkNKA/z/Mz0bAwF7qlxdvyzh75XXFzm9h05tPc/Ul3iBXbr14l7Rj/hVnfsHaPo3u8it/LiMBQa2LXZeYbSrI37Ep8vFB0o2LNT85nj7nuZp3J0PolaXnoGeenpRCYlUpDj+d5Kgz2YstlQiDHd7jAeWr8Zcb0uJ3/pcc6ufo+cI55jK4Y1akWta6d4PGY46+4X9u8Pv7D1m++dylx94Txx8/Va2K7f561iROZfCCFITk7n5x+WsfBPe8aKmZ88SpzDMu99D47l+2+X2Ez6rxrdjwYuM29r245Mf+NuJt85qlL3b0pCm44tuOrmofz0mT2h6oVjvPvBeaJgy55KCbJcv+tFHFquGe5cNOE6Lr7T/sCQn5FJp+vHsvnzOUizmX4P38exjZtZ+/5HmAoLMRsMrHzjXTJPnaHnXZO9+kgCZBw/wS933Wezuq0MihU3IcRoYCzQBagJ/Af8BEyTUmZZ6gwAbgYuBuoCJ4GFwDNSyrMu7fUDPrTUmwvcLaUstBxrDFinEgOklEtdzl0FGKWU/Uo80mpKeQib0WDk+SmveVzvnj93Mbc/fgN6fdlS1jsS5KGtL99xX9Z68u37uOLaAaW6xokjpylwWfb0ltW6LNE+dHo9LQb1Z/+ipcXWrVVEEk8ru+f/yfKXX8NsKtqqUxq0sUmjkVOfvex0LPKCrtre2t5ZHoUtJL4RUY0vIbbtUHRh7mOXZhNpi390K1/z7oduZSWhoMCA2Wzmgalv88lH85yOTZk6mr6XOj/E1KqdwMp1M9m4fhetWjeiVZtGpKVl8vYb33LyhHP0F4DGTerw97qZxHvIf1fVuO+l21i3ZBMn/9Mi3Jzcuo1DCT393Ct3mvfvZxO3I6vXOYnbwmdfInnvPiJrJJJ9NoWIxAQ6jLmKht26sOj5aSTv0R58tn3zPbmpqQx48hGv+3DrZn5SqcIGvi1LPgiYgMeBIcAHwB3AImEP9X07kAi8aKnzP2AEsE4IYXtUE0JEAt8Bs4BRQCdgqpfrvlTSwQQa5SFshQUGXpz6JpvXbAe0fbhhYwfZjmelZ5HvknKlrCQ55Juz4inAcY9LSz5js+LJ0MPREtO6NFgeYawGPfsE13z6Ia2v8O40HxQaSpuhQ4pta+8fCz0Lm8ss5KJ6+fRtnk/e50+47Y2Zc7M58eFzZG1a7lQe0foiWs9cTLMZX1DrrtsJ6+85Wn3K71+Sd2B7sX0tKZcN6c6N4553E7bWbRrx7AuTPJ5Tt14NRl7Vl9ZtGyOEIDExlsUr3uX6my6nUePahIYGEx0dwcTJI6qNsAHo9XrufdEuFCf+2VpkfX8YkwA0uqSHLeRa2uEjTo79Kfv2U5CZRfaZZHrdexdhlqDY8Y0bctUHb9Gkj12s9y9ayu8PPEahh5WI1IOHOLBkeYWOwxO+iNtwKeUYKeUcKeUKKeWbwD1Ad6Cfpc6dUsrLpZSfWep8jDbbawI4mni1AY5JKV+TUi4BXgD64M5CoIcQomQhHwKI8hC244dPcu+1T7HQId9b/xG9+OtXe6DaERMGExlVvnEMYxNifLJYHNb+elYsKF26ksSa8TRt7ey4u3zBmgqJyyiEwGw0Frn31PmmCR6dol1x9SuzMviFp2h4sd2kPc0S7uromnVudXP3biXrnxVOZbGXDKHhfa8igoq2YMvcsNTNmrLOpCdBp822dUFBTnsuJeHcuSy3fbc6dZP4cu6zNiMSX2jQsBbvf/QwO/bNJSVrISdSfueNd+6rNsJmpUOPdraHluR9+zHluruQ+JuQiHCnv7uTW+3uGTqHINhNejobyQSFhjLkpWe5YJQ9DN7xTZtZ8MhTmIxGp7qn/t1he9+ga+dy63txFCtuUkpPjlLWgHD1fK1j4T+guRCinxAiEZgAeFrU/wHYDLwoqurCegVRFsOR/Nx8pt37FtdefBvXdJ/E2F53sHWt/Q+rSe+erF+3F0OuZsARVasmiePvKHcxOH38LKePO1thRtZIQudhyeKFu98otUHJ3c/d6vT5rac/IWX/wVK1VRQmo5F59xa9Ed5p7DU+tdXl5uu54pUXnDbnAeIbNaR+Z3s4sb0L/uL0Dncr0sRmTTFnOC/ZJY24mTq3PFqssAGkzP/KrezUrBfBrM0mzUYjaYdKbmR02ZDubFy/y6nszruv5u+1H9K6beMSt+dIdf0KiI6NokZLzflcms3k7i//2XJ5UPuCtrb3Z/fsozA3j8Or1pCbZt83z89wT4Wj0+vp8+BUut92i63sxOatbJj1Gae27+C3+x4h7fARjq6x77vmpZc+kHtJKa21ZF/Lz6JsuN3qWPbfngQWASlAU2Cah3Olpd6FwLWl7GO1o6yzte9mzeP3uYs4dugkJ46ccsqF1W3SzeSmnSP7jCY6wRHhDJ3+EqFR2vJeec14pJQ8e8cMCl2MV4JCQ7nx52/c6udm5/Hat7vcyn1hf/2eTst50mRik0O8w/IiPyOzyP2CJr172iJRFIcQgia9ezLq/Tep2/FCW/mpbdtpOXiQbTyntu9Amp2XL2u1a0vroYMx5ttN6COSEhnzyAQGtDXTv42pyFd7/V4Kjhcv/maXJ29HGjT0vK/paDgycfIIsgqX8cprd1G7Tvlar1Y3HGfquXu32t5XBUtJK45O2af+3c7X193AgoeftPm76YKDiannOR+dEIIuN02g+yR72LF/f/iZBY88xX/rN7LyjXc5snqt7e86ZX/lhf4rsbgJIeoBzwOLpZSbvNSJBt5EE7ZfHI9JKd9BM0xpAXSXUqZ6akNK+QewCnheCBHwVp3lsQxp8rCX0+mSC5i14DXMRiNndmoiInQ6LnvuKadUF1bKKnB7th3g3w3uYhXXsAEHli73eI4uKMjjHllacjqP3vQiN/a/m7eemmUL22StJ4Rwc4I+vGot5jKG4HINZxWZmOAkRO5jc/dVKw4hBEkt7CGlWupTuK1bGC3aaeORJjMHlzkv8Z3ZuYvVb3/gVFav44U+z2zWz/ykxP10ZcTI3tw+xXu28QYNa/HC/6qWY7U/qXOhfYZecGx/ETX9Rw2HZej0o8fISXH+Su568/WExRS9JNz5xvFE19YsXY15+eRbZmjHN1kSyfohsnWJRMNiHPIrYESzjvRUJwjNCrIe0FNK6fYYKKU8B/iSYfBx4G/gJuBjH/t4G3Ab4GZWXNUo7wj8terZn6ojIsP5Zu1MkmolkJOdy67vn7Qdu/jO22jssIbuLU1JaZiz4qTH8laDB7Jixltu5aExMdTr1NG5DYvALXz6NfYv1vac9u88zLl67WkxyDnTdVz9uqQ5OJOaDQZMhkJ0QZ4Tbnpi0eYCjr/3JPlH9xLf/ypqjnJe7ly6W4++33hw2I9wJKZu6UIind5pfwiw7h8OGtXH5i/nCy0HDyy+EpB25ChH164vtt7rc5/jwfHPOUXutxISEsR77/zI/Q+N46ffXubWG6dxLs2+XFWnbhKz5zxtC6+lgJBI+8NaVQ1IHBodRWyD+mQcO24rE3odra8YQtM+vWh0Sfdi2xA6HQ26dmbXbwucyhOaNSXt4CHCE+LJS/PlK7/88FnchBBhwDy0pcS+UsrjHurogM+BgcBQKaXnbwMfkVKuFEL8CTwthPBpvUlK+RHwEcBFnVv5ORGGMxWZI63AJSp+jwGd0ev1fDdrHqln08jN1pbVGjavz6tPXIFOVzZBy8nO5b3nPiU0LJSb7ruW2ATNkqpXPTOuRvPxjRpyYss2CrKcMxUHhYUx5KVnnL4ArEizmYMOzsQAh1eudhO36NrORhxCr0cfXPwSoWN4q3PLfiZ39z8ApP7+BfG9hxKc5Nxu5AXdCWvUyi36B8DBgtqcdWjPMUhuURjz7MuLuZYg1mMmjWTjiq1s/HurU92k2gmknHZOhTN83GU0uMQ9GoYnTnoRZkdi4qPp0b8zzdo0Yv9Obd+t/8DOHD1ymoMHTlBYqD2nvj79a16f/jW/zH+Vd978DiEEo0b347pxgwgJKXlIpoDGYVZtSD6F2VCALtjZd9JflpKOtBw8kIPL/ibt4CF0wUEMe+1lGnQpmTVzUsvmbmX9H3uQ3fP/ICwmhn8+n0O7K4ez85ffPJxd/vgkbkKIYOBHoBswUErpbWf0Q7Q9stEWa8jy4AlgE5q7QbWjspJ+/vb1Qo4d0mZN4RFhjJgwmJsHTXXLFl27fo1yiSX56xd/8ssXfwLw7Ue/8t36WdRvXIewcHen53NH/7MltbQSGh3NVTPfJqGx91QlwWFhFBjse3f7Fy+jRuuWXDh6FEfXrift0BG3sFA1W7dEF+TuZ+cpcLCV/CPOgnVuxTxqXu0c/UIIQWyvyz2KmzTa+2jOz8Vk1KMPKv5f67LBHfnmwyMAvPPMJ/Qe3J2omEhe/eIpvv3oV5b9vprYhBgefnUK65ZtZsYjWg65kNBgHnz5DoaOHcSh3btZt+wfLruqLzWKyEzwTtaRYvtz6bCevP3MxzZhE0Lw77aDpLgkZbWSm1vAL/OnF9tudaJ9fGS5/c/OORiB0OkQQiClxJB6mrPfz6T2uHuKP7mS0QcF2VZAmvS6pMTCBtDo4u7ogoKo0bI5KQcOkdi0CTXbtKJW29aYDEY6jLma8Pi4qiNultnYHGAA2mzM3TZZq/caMBG4UUr5S3l1UEq5WQjxI9oS5Umg8sxtSkllZ7E2GozMed8eBue2x65n7gc/uwkbwN5/D2I2m0stcNYlw91bnI1cf/zkd6a+MIm8HN8cNRt271KksAmdjobdu7B/8TKn8jXvzmTNuzO9nFU6U+OQWs57ZmmLvif+0isJTnA2njBlef7TM+dpJt7pK+dzavarHKnXhHEzpxOR4O7vZ2V8s1yy7r+OJb+uJPlUKumpGayau5Ahk0cRGh7KDVPHcMNUuxeN4z7mLQ+MZdi4y1i9aCMPTXgOgE0rt/HGN897vd5ZB6donV6H2eS+RJZ5Mplfl/xj+1yrdgKnT3ncEgdg4/pdDB/Zy+vx853jmzbz+4OPOQVPyFy/uEqKm+OecmktjmPq1mHYjGnUateWU9t3kNS8mW0/WB8cRHh8XHl01Wd8+YZ7D7gGmAHkCCF6OLzqAwghHgHuBz4D9rvUcbdaKDlPoTmJdyyHtiqEispk7QsLf1phCwcVlxhLy3ZNWL9ss8e6GWmZHN3vtqLsE1ZhSz14iBXznf3TCvI1R3DX/G3eCA4vfl+m22232BxMfaVGK88+Wo5Wg67E9XV2p5SGQjLWOSdVlVKSs8tuPyVC7f035+VgysnizLfvAVBw4jBLX/I+o7HucUbHRnHz/dfZyqc9P5uQM6m2IMSOr6ACezSWRi00MbYKG8CWNUWbme/bYf/C8iRsAMschK1r97bFGqqMGt23yOPnMwd3HWH+I09iKnS2GjZlZ2DKK7897vKiZuuW6C1LyhnHT7hlZPeVBt26EBIZQaMe3YhM8q+lrC/idrnl5xPAWpfXRJc6t3io81RZOyml3AOUv413OeEPQbPSLjac7x1mbdfeNpIlv60u4gw4ebRsyQh3/PwbJpcvyKatG5F8OpXVC71nkY5PsqdGCQoPK/Y6cfXrMei5J92yVReFY6BXb7iayHsi/6h9ZmrKy+X4O487RfWIbNXR4XgOqQu/w+wQ7Pjo2vVuSR/HN8t1M95p0c6eBdloNDH3K8+O4tnZ9hlxu9oJGA87P6AUJUPJp1NtS9auxHpwjJ44eQS/zH+VUx5m/qAtVx46/hOdLnIPBqzQePvZT5z2VB059ubDnF31LoXn3FP++At9SAhxDe0RbbLOVEy2kMrEFyfuxlJK4eX1rKVOvyLq3ORrZ6SURyznuFlGSilvthzrV4LxVSj+mqmBPdPx7/NWs3ePFtk7OjqCJ++7hsPbijY5zsoseZ8dTfST9zq3Hx0XxeXXDuD3rxe5iZ4jZgfhianjm4Vh0z49mfDdl/R96F6iann2sXLk+D/uYb6KIicllTOvuy8TWR2ipdnE8bcfJXubfaYa030A0mifSQmdnnOLvndrw9FQxlXUjEYTX734GZOueMCpPMkh2aUjjrEWDx86wahhjzgdH3hZN48zvvbxkexdstG1ORsPPjSW+paYnHq9jtunjGLGm/eQmuJ99X/JynepUTPe6/HqjqfUPSUhPzefzau2eT2ed2A72YdXkby+7K4Z5Yk1GzdAXnq63/pRXqiUN6XAn6IG9n8+s9nM66/aU8tMnDySuLgoTnjJvm3ly7e/x2jw7qjriqvvW2SS+15Sekomv3290KnMNf5j5jmLtaQQNLvUU9Q1z4TFxnLBqBFc98XHNO1b9B7P4VVrfE6IKKVk8fP/szm2O9L6gnr0b2Oi7uE/yN1n/6K6cMxVtG7fgJxd/9jG0iTR6Jb0M6FJY1ssvvHNcjl++CS/f72QHZv2YDSamDbpZafcZAA1asYz7nr3+JXJZ8/Zkn0CTJ3yhpv4PPH0TR7HuGb1dqY9P9vjMb1ex423DmPrri/57c8Z7Nz/DdPfuAe9Xs/337jbgzVqXJtTaQvo2q2th9YUVjLTs20PeUWvOlQt14C8DPvfVHF+bdUBJW4lxJ+iBnZhy8zM4fGHP+CfTZoZcWhoMFPu0XKm1SnCag7g8N7/+O7jeUXWKYrGPZ1T5GSlZ3Nj/7s5fcxZJC4dZg+sGh0bZROdjj3a2RIiloTQ6Cgue/4pj9mrreScTbZtiFuXAb358Z3c+q/dydQRIWz+Y0fX2ZdZ248eRdO+vdnw8WxbWZuhQ2g+oB9C7/yvlHb4CL/cdT95P83ipalvct0ltzPtvre5beiDDGszjj8d9ia7X9yOV1+/i3X/fEyCxaXCleDgom2/LrjQeWtbSsmsD39h6KD7SE/XDF4iI52XgvteehHx8dGEhobQr39n6tW335OkmnFu1/jpt1eUD5sPJNSMJ8hyvwqyvMeTTOp6U5VwA7CSfcb+UBxVq2r7CPuCErdqhFXYfvlxBRe2Hs97b9vN4O+8ezS1LNH4H3psAtdcN4CwcO/+XrNnzCX5lOc9FUc8RSxpMWgAYXGxTmW5LlaScYmxtHL4wo2Jtz/Btu9S+jxV+uBgutw4vsg6R1avZXyzXPJy8vn+49+Y++HPXF0nzSZ0g6OOs2jyJH6Zcp/H8xt270qsJdyQziF9T0KTRk6uB/Uu6kifB6YS36ghHa8b49bOic1b+XTGXOZ/s9jJKTrTYVn4jruuYuGyt7njrqupWcuzdWWNmvF89/NLdOnWxuuYX532pS2ZZ15eAXfe9ir33/MWRku0lsSkWK4bb88GERUVzov/m+yxLYBxEwbz6ut3cdXofjz9/K2cSPmdlq0aeq0faJRlaTIoSE/dRkUH0Y5pNZjQxPKwtSsfDPn5FGRqDvm6oCAiKtmysSII+LBW5Y31j76yZ3Dt4yM5sP84zz31Mb/85BwRvnffjjz5rD1gzMhRfVi/bif5edq+UMNGtcjLKyTZIYFodnYe7zz7KU+/9wA/fPwbyadTuezqfrRqb/+H8xaKK/vMGVt4HW+kp2Yw/eH3bZ8TayZw4ohmYHFw91FmNMstdagvT86ijhz89RcWd6nBF299x4FdRwBIO3uOKU9rAV5X/rmOfdudzZ279O7AppXa8mN9Bx+fhCaNbe8zTpwk/ah9ebD7bbcQFBpieX8zp7b9y+kdvsfJHHPdAF58+Xaf3DIGXtaNAYO6smH9Lo4dPcOtN77kJJgvPvcZ0174nFatG3LmTJot+zVAx04t+Pr7F6hZK57ExDjOnEnjrqnX0LqNd1eMsLAQ7rjrau64q2RJNhUakUXMcIMiaxBRtwO5J7dRmHGA4PA6BIV4dxupDByX5qNq1igy8Wh1QYlbKakskbNe59TJFC7teYdtiQmgXv0aPPjIeG68ZajTslVeXgFffGrPAvzCtMl8/+1Sfp/nHPFjya8rqd+kDrPf0CKbzP3gZ175/Cl6Dyk63M7S/80o8ThaN61j89VyzRhQ5LUszteOVo2x9euhDw7GZDB4PCf17DmenvyqU9maxZts4mY0OFtI9rm8B6FhdpeDAa0juNyylBnZIhxr0Kq65jSyI3W2uHGXRKdyicOS5+VzHmHKlY9y/LBzUNybbh3K8JG9MRpN/PT9Mho0rMU11w6g7QUlyxwuhKB7j3Z079GOZi3q8cQjH7JyxVbbcbPZzG6LmFsZO+Ey3nrvfsItzvVPPXcLiorFZDJxeK93S0hjTjKnl9n/PoUuhFot70Ef5LtVcHnjKm6BgBK3MlKRIue4NPLBuz85Cdv4G4bwymtTiI11/4f47ZeVZGRo/WnarC6jRvdj/75jbuImpWSbSxLRZ25/lW/WzGRRnvsS1NLdeowZaU75mXzF0WeqfhPNUnK8h9lb2pGjbP36O0IiI8nvc6vHTNI6vZ6Epo3drDaL4uj+4ySfTqVG7UQSXSz9Hn51Ci/d+6btc4zD7/SAg1jUqJ1IdEykrWzjiq306N+ZLWt2sHf7ATJSM7n2tpH8NHuB05fbJT0v5DLLA8MVwy7xuc9F0emiVixY9AbnzmWx+K8NfDF7AcuX2vcPExJjeH7abdxw0xXVNmWMvylttJJjB0+WKAGwNBdiLEjzq7hlnXXYb6tZvFVydUCJWznhKETlIXTW9kwmE69Pn8sbM+bajk2cPII33vG8XwTw5ed/2N5PuOFyhBB06OTZuXnkVX3Zstnu05WfV8B3s+YRP+Euj/VTfv+ixBG+a9dOJNbBcrJJK/tymKvALX/ldU5t0/zJEtKDqDXmDo9tJrVsUSJxM5vN/Pn9Mq6/ezSdLrFHatcH6QmLDEPvsLdmtKR82b/zEPO/WWwrb9+1NYZCI99+9CsAO/7Zw2uPfsDPDr9vTzRrUfKsAb4SHx/NNdcN4JrrBnDuXBb79x0jPCyE1m0bF2uEoqgYXJe8fSE4zL+C4jRzqxUYM7fqv7BaBXH0MSrt+QD/bj3AwD538fzTdn+Ydhc05dkXJ3k99+iR06xYps3GhBA203JHcQkJtQe3rVkr3u3Jfsua7R4tDC9tZSBvs2tYZI3Lru5HcEiQ7bqOjBjVmxPH7U+GTVo2wBMF2dk2YQPIWG0XDdfYkL6G2Zrxpt2HbfF3S7ggLoI+LepSs5Y2ezMZTcRm5RCfFGert3z+WtYt+4e7Rj1GgeUJvEW7JvTo35nIaLsQ79q8r1hhGzaiF926V47pfHx8NN26t6V9h+ZK2PzIvhJkdbBiNvo3aomjuEX74E9aHVDiVsGUROis9TZu2MWYUU/Qs9skNm20mwpf3LM9fy59y+NSpJWvv/zLZnI/8LKuNvPuzAz7bFLvsFlco0Yc3S9u59TG7q37eeTGF7kswnnfIC893WZIEhIZSVCY3bT8jiduZO6qD3nnx2kc+O8HHn/qJvv19Dr27D5q+zyoi3NkC6uQ7pn/p1O5KTsDc6Hn5Z3GPXs4Xd8bHTq1sJmv7993jA3rd3H6VCrJZ9MBTYgbNqrFuKt6287564dl3H/dM2RZfmcxMZF89eVTdEiM5pr+nYhL1Mz1PfnTxTtE/Jg4eQQff/54sX1UVF1K84BqKmE+wciErhjyT1GQc7T4yhVETrLdcjoyQPbclLhVIkUJ3QVxEfy9fAvDhzxA/15T+MMhdmNISDBPPnMzv//1GnFx3oVNSsmcL+0Ccf2Nl9ve799nt/LLs8xGQkOD6dWnI8NH2r/Yraz8cx0v3fsW9fcuZs17H3FoxUqM+XahCQ4Po0Ej+xNe8qlU6jaqTWROLu1ajGXaC7Ntx1q3acRhS/gnnU5Hi1YN3H4Hg6OOs/3HX936YUjVLCxdw2QFh4czbEw/r78LgAvaN6VL1zaMvMoeA3HuVwt5641vbcLUpVsbIiLCGDq8J1eNdm+vbr0k5v05w2b8ERUVzgczH/J4vb6XduLIqV9Yv/lTtu76ijfeuY/ISOUXdr4x8ErfAxQA5GcfIO3Y96Qc/oyC7JLP+sqDQLCOdCXwRlRNcBS6OiYj11/3LEMvu9/JKABgxJW9Wb3hIx554oZic2Vt3bKP3Fy7AF0xXDNeeOqxmTz20Ptu9e+462qiosK9RnbfsHwLj908jS1zvuGPx5/FkJdv8/tyzda74o+1tI+P5JNZ88jPt4emCgkJpkXLhjaz9UaNa9ss96wC9/vXCxlx4Q1kHD/h1oe2ESc9xn8c3yyXu569lc693DNkBwXpadW6IbPnPENQkJ7jx87Yjh09coo5X9jjN/a7VDP7F0Iwa/bjDLnC7qDe45IL+HvtTDq7+OUNG9GLmycOc7tuv/6d0el0tL2gCc2a13M7rjg/aNe5FT3v9j1Dl6nQ7qKTcuQL23tPDt4Fy0+5lRWVzslXQhwiqRQW4XhenVDi5oA/wmot+msDPS66hV9//ttWptfruG7cIDZu/Yw53z1P67aNfWpr2ZLNNl+2seMHERoawsEDJ3jztW/c6taoGc9jT90IQJOmdWnarG7RjUuJPjSEvlfYk2M6RiRZ+tMKTCYT0dHOM7Lnp91GYqLd4Ts/v9BpOc9sNjPtvre9XjariODDEZHhzPjqGWrXcY4+bjSauHnicFq1bkh2dh4rV9jDZw254mIKHSLsvz79a/ZYrB9DQoL55scXmPfHDBateIe/lr5lc4x35bW3pvLgI+NtDxz33H8tDzw8zus4FOcX9buUPPWSPwmNsotbQXZgiJvadaZifdUMBiP/bNrD38u2sG7tDs6eOYeUksiocLKzctn+r7Nl1bjrB/PoEzfQpGkxYuOB/fvse2QdL2oJQFKNWMLCQpxmUwDtL2xGRIR9z+qK4T1590334L9WmrRqyJS+8exLvJZllqwDJpN9RnXqZAorlm2hfgP7ev3Q4T2Zcs9oCgoKiYwMIycnn1MnU5j/22qGjejFyRPJ3Hq55yU+K1u+/o6CrGxqtm3NI2Na4Rr/vkvdBCZNHskLz37qVD795a+44eYrOHvmnJOz85nTaeTk2KO1m0xm0qwxLwG9Xs+lA4r/YgoODuKZFyZy931jSD+XRdNmaqam0JhzMIK4hg0IjgjHkGuP3BMc14C6A58kdfMcsg/97fV8aTYidJbwXVv2ENrJeeWgYPkpQvs5Bx5fulvvcwZ4TziLm39DDJYX57W4VYSomUwm/t12gBXLtvD38i2sWfWv05epN2rUjOf9jx5yWhYrKY4WkY888B6vT59Ly1YN3YQNYMO6neTm5tsELia66I3zpNra7CjKwVrQNb3M4UMnSXKwOmximQ2GhoZwy20jeOeN7wB4+cUvGDq8J9Nf/sqW0cAbmSdOsu5DLUnEye878NgbU6nToCZGo4mln/3OV2fSnMQoJCSYwkIDdeokcvJECs2a1yMxKdYWaHj6y185tT/u+sFcfMkFRfahKBISYrzGg1QEBqXxdwsKDaFhj24cXKpFE4rrO5z4+tcidEFEBXchW6wG6UWMROkW1MoicCFR9v//wgCZuallSQ+U9A/55IlkPnzvJ8aOforGda6kT4/beeqxmSz6a0OxwqbT6bhqdD/Wb/m0TMIGMOH6IU5m+GdOpzlFsABIsCwRZmfncWnPO9m4YRcmk4lv5zon53QlNyuXhT8u54Hxz9rKwsLssSvj46OpVTuBl1+y7xmkWCwSAe69/1rbXtu2rftZ8PsaDpQwaeqmldu4vu8Uvps1j59en8uzT87i/Xd+5Jor7RaJSTXi+OTzJ1i9cRatWjckKEjPKzOmuLknhIeH8tIrd/DBrIeVk7OiQmjax76Xnbt9p202pg+OISKuk9fz0jKds9z7uvcGpd9/UzO3AMPbE5kv5r8Gg5E/5q/li9kLWPTnBqelL1caN6lD774d6dO3Ey1aNUCv15GdnYfJaOLCji2czMfLwgUXNuPDjx/hsYffd4otaCUuLoo777qKF5/7DIBdOw/Tv9cUbr1tBAcPuBtzOLJz81523rnXqWzshMv46INfAOh2cTsW/eWcqLRBQ3tk8Zq1ErjltuG895YWePi1V78uMrZhTHw0dz97C4ZCIzv/2csf3y3FbDaTm5PHm09+5PW8jp1aMGbsQKeya8cN4oL2zfhi9gIKCgy0u6AJo68dUG6/d4XCE40u6Q56PZhMFKYdwmzIRxesrZSERTcj99wmt3P0EZ5DsnlanvRGaWZwgWhQcl6LG5Tcj2XP7qN89fkf/LvtAMuW/OOxTu06ifTt14k+l3aiT99ONG7iW2LO8mDc9YO5dtxAUpIzyMsrYPHCDaz6exvhEaHcdc81NG1ej5kf/OIURPmTjzynvxk2ohcH9h9z8lEDbb/pvgfHOrkr5GTnuS1/uu5dde/ejvfQxO3woZPc9+BYvpzt2Qk681wWL019i37DLuHR1+5h5PVDmHH/2+wrImafTqdj0u0jPR5r174pr7zmOeqKQlERrD4WS3BibQxntQdHY3Yy8oj2MB0UkujxHH2MJmCpGXtIjC1azDztvZWWUIdlSWVQEoBIKcnNzWfZkn8oyC+kS7e2JCTGsHPHIbZu3sf33y5lw7qdAFzYwTldRZ9+nRg5qjd9L+1My1YN/LrUpdfrbVZ+EyePZOJk5y/8V2ZM4ZYbXiyyjVsmDWfaq3fw7deLmDrlDUAzsZ96/7XcMmk4c79a6GQMs+rvbYDdKnHQ4G707tvRqc3PP7MHcw4JCaJZEUYYcYmxpKdmsPz3NWSlZ7N08RuM2jiLj2f+yluvf8vpU6nUrpNIq9YNCQ0LoVGj2tw6aQTt2jctclwKRWUSkmQXN0POWYLQRORc+k73yroQhN57poyKnL2FOCxLFqplycAgIyObD9/9iS8//4OjR04Xf4KFf7cdpFPnVgwc1JUJNw6pVtZy11w3gKEjejL7k9955IH33I7r9Tr+N/1OIiLCuGXSCC6+pD2HD5+i00UtqVNXS4Tq6LrgievGDXIrMzhE4z95IoXuF3mOUD9ocDfi4qL4/lst1Nc/q/5l/bqdXHxJe+6aeg1T7hlNYaGB0FDv+eoUivKktEGUHQN/S5PR/r4w1a1ucHxXhM7uy1rW2VtJBC4QZ27nrUFJZmYOr077kvYtx/Hic5/5LGxBQXpGXNmbH379H0tXvsfTz99arYTNSkREGJ06t/J47Lrxlzm5CbRp14Qrhl1iEzbAFnHEE8HBQfTp575h/vrb91K3nucs4a3b2vffFv21gQsudM7Z5rg0KoRQwqaokjgGATfl5ZB32G4MYjpqj69qdhG3oJj26CM8x1x1pCTGJeC7gUlotPJzq/ZkZubw4bs/8e5b33POwb/JihCC+g1qUqNGHAf2Hyc3N5+WrRrS/sJmdOnWhqvH9KdGjbjK73gF0L1HO6ZMHc2nH/1GXl4BzZrX4/6HxzmF7fJG+w7NWbt6u8djH378iJtjNUCr1g1ZuvJ9Xp/+Nf9uO8DJE8nUb1CLWycNp+NFLenc/kZb3WeecDYaqeUlS7VCURVZultPyrzPMZ6zCJpOD0jysw+SVXAOc0GK8wl6z3FSfZm9+dKX4mZwIZHOBiVSympvRXxeidv831YzdcrrnDmd5lTerHk9Hn7seq65boBTNHWz2YyU0ikdSiCh0+l4efoUpr1yByaTuUSR5CffcSXr1uxwijZSq3YCazbOomYRQlSvfg1ee2uqW7nZbKbdBU3Z6SGier36NXxyrFYo/I01hVP/NiY+PeSQld1sIvXoHK/nGc9tRB/RAKErfkXCV8fukhAUGoI+JBhToQGzyYSxoIBgHwKTV2XOC3FLS8vkkfvf5ZuvnX25mjary8OPXc+14wYRFOQuYLoADCbqCZ1OV+KxXj2mP02b12PWh7+Sk53HpQO7MOLK3qV2aNbpdPyx5E0+/3Q+ixduICIinOYt61OjRhzXXDvA5iOnUPiLku67hTdpTd4Bz6sbnjCkbSAkyT3Oq6+zt7Luv4VERZGXpllRF2RlVXtxE57SdgQKF3VuJb/69jmGXnY/Rw7b16Vr1U7g2RcncZ0XUVMoFApP+Cpucw5GcPyfLfx69wNux3T6SMymPMDZN1YExxNae7BTWVGi5slyUkqJqc5pIpq3RwS5B1ovSuC+Hn8z5w5re9tjZn9EjZbNvdYtC+9d0v8fKWWXCmncgYCemhQWGt2E7dqxA9mw9TMm3DBECZtCoagQxjfLpd5FHWk7/Aqn8oSLxiF0epyETQSjj2xOcEJ3QBM068tXTAXZnFryMjn/ree/6fex794rSVvkPVasJyKT7MZergHLqyMBvSy5f/8xCgsMgBZz8OPZjzPKQ84uhUKhKG8mNM+DRx+g5ZBBrFv7H+HN2mHeZSZt89e2OiIompDalyOErsSGI9a9N7OpkDPLXyP/7G7yT2v+c+a8bM588y76yBhiLxlcTEsaiU2bcHyjFpji7J69NO3rORVWdSGgxc0qbMHBQXz17XNcPrRssRsVCsX5TUn33SY0z2OO6MDVnTqwdLce2UCCw4QqPLol8XFtS9yP3PTtZKesISSnObn/rUeatOhA0mxA6ENsn5PnzfZZ3Gq1tYvr2V3uLgfVjYBelgQlbAqFwr9Y8w/2b2NCCEF8/1G2Y7npW8nL3F2i9gwFKZw7/jOG/FMYzhxDmgoJjtf8RBMuGk+j0R8igjSrS0PySYwZ7g7jnqjpIG6nduzEkJdXRO2qT8CL2xdzn+GKYZf4uxsKheI8xlHgEi8fhy7c4lcmTaQd+x5D/tkiznYmK3kl1j07k0Fza4prO4yave8htu0wdCERhNZrbKufs3uzT+3G1K1DfKOGABjz8jm8ck0xZ1RtAtpasmmzevLfPd59SxQKhaI0lDYXpDWCye+/7ebkRy9gSNUMN0Ijm5DY+IZiHael2cipPdOR5gIA4huMITSyEWEXtUent/vIZST/Suqfc7UPOj2RbTsT1rAFLZtEkp+RRV5aGkmtWpCbmkaLgZeS1FyLlbvxsy/ZMEvLGtK4Zw+GTp9WqnEWhbKWLAfiHJJ3KhQKhb+xzuAiml9A/Xum2RKTFuQcJt+H5cmCnEM2YdMHxxIe0wZ9UKSTsAFERvRCF2FJ6WQ2kbNjA6kL5rD2vY/49/sf2bPgL3bPW8DmL77mx9vuJtNiHdlyUH9bG/+t20heekaZx+wvAlrcFAqFoirSv42JsPrNiL/UnrEjM20p0mzweo7ZlE/6SXuKqLCYNl5nekGRiTR+9B0iWrvHeE1squWMSz2oRQMy5uezZc63AMTWr0etdm0t1zNxcOnykg2sCqHETaFQKEpISfNAOuK4/1Zj5C3oo2IBMOakkBe8z+t56Sd/w2Sw5GEUwUQldrcd8xRQObReExo99CbNX/2OOjc9TNKVtxDffxQXXjOKPg9MpfUVQ2x1d/++gJwUzfCk5eABtvJ9i5aWepz+RombQqFQVDJWgRvUNZLed95qK0/f8Qu6Folu0UcM+WfIy7DngAtO6EpQSHyR17BmCwhOrEVc76HUGH4jtcffS6shl9H+6pH0f+IharVrA4Cp0MCRVWsBaN6/H0KvScOpbdvJz8ws42j9gxI3hUKh8ANWgWsz/HKSLKGupMlA5t4/AefwWgXZ9oDiurC66CMakprhPFvzNHsrCiEETfvYHbWT9+8HICw2BiHs0pBx/ESJ2q0qKHFTKBSKUlCWpUkr45vlotPr6TbxJltZftZe23urwJktRiQAIiSuzNe1ktTCHj/y7K49GAsKWDptOmajllhVFxxMTN265Xa9ykSJm0KhUJSS8hA4gFpt29jeG9POukX31+kdMnobc23vi5u9FZXIFDTHbZ0lpVfy3v3MHnkte/9YaDveadwYwuNifRxF1UKJm0KhUJSB8hA4XZBDHklDoZsoBYfVsr2XhvQyXWvpbr3tteZEHBEXatGb9DEJFDjsr7UdfgXdJ91sO6e6ocRNoVAo/EzW6TO298EJNd2OBzksRUqTc1isss7eao+9h9iLLyOut5bBQBcRRe3r78c88mGW7Q22CVt1E7iADpysUCgU1YGsU3YBCk6q7Xbc5LAU6Uu27pIQnFiLuhOfoOD0MSJadiC8WTv04Z5no1aBKy7xaVVAzdwUCoWijJR1aTLTIX9acJJ9v806CzPk24+LYPc9MNfZW2kIrd2AqAu6eRU2R6zLmlUZJW4KhULhZwy5DkuNKe7HszJ22d57EjdXSro0WVqqssgpcVMoFIpyoDSzN2sg5fD4OFtZ7sntSLPRuaJ0yNxdRIguf1EVRU6Jm0KhUPiZxj0vBp0mDoVph0heN4v8zfZAyrow+1KlKfsAptxjbm2U1bCkPChO4CpTAJW4KRQKRTlR2r23Dam1SRp2ve1z9sEVZJ5ZAmiipQuv67AcacaQuhqTwz5cVcLTLM4fMzslbgqFQlEFSBpxE7G9rrB9zk5ZRU7aJgCE0BGc1BsRZE/jZczY4dZGVZi9WXH0p/MHStwUCoWiCiCEIKHReCLqd7aVpZ/6E7MxCwBdUBTBNfoBWpobWZiCMWMHJU04XZkC50+KFTchxGghxI9CiKNCiDwhxF4hxP+EENEOdaKFEDOEEMuFEJlCCCmE6OelvX5CiD2WejOFECEOxxpbzpVCiP4ezl0lhFheqpEqFApFJVAWtwCh01Oz91SCQi2O3NKIMf1f23FdUBS68Aa2z8bMHRSe+ROzg5GJLwGVzweB82Xm9iBgAh4HhgAfAHcAi4Q9dHQicAtgBBZ5a0gIEQl8B8wCRgGdgKleqr/kQ98UCoUioNAFhRBfb7jtsznvGKY8e2T+4PjOiNAats/SkIEpfWuJrxPoAueLuA2XUo6RUs6RUq6QUr4J3AN0B/pZ6hyVUiZIKQeiiZ832gDHpJSvSSmXAC8AfTzUWwj0EEIM93BMoVAoqjRldeoOiWhAeEw722dDyiqMWfuQUiL0oYTUuNRJ4Ew5B5Gy5FFDAlngihU3KWWyh+KNlp/1LHV8XfT9D2huWZpMBCYAnlLP/gBsBl4U3vKoKxQKRRXGF4FzzMoN2LIBhHZqTWzdK9AHx1hqSozpmzGkrUeajQihQxcc59SWa8xJR4rK9RaoAldag5K+lp+7i6zlgpTyLPAk2tJlCtAUmOapqqXehcC1peyjQqFQVHm8CVxE187UaHorweH2fGrm3CMYUlYipUQac5wbMuaSGNuaxFjnLN5WzjeBK7G4CSHqAc8Di6WUm0p6vpTyHaAm0ALoLqVM9VLvD2AV8LwQQgV4VigU1Q5flye9Cly37tRocjMRcR1tdc0FZzDnnwCXZcjIkJKH5XI6FmACVyJxE0JEAb+iGY7cXNqLSinPSSkPSOkYU8Yjj6OJ4E0l6ONtQohNQohNKSkZpe2iQqFQlAtlFbiwzu2JqzeSiPiLbHXNeacI0jtnBzAZfPu+O18EzmdxE0KEAfPQlhIHSymPV1ivLEgpVwJ/Ak8LIUJ9POcjKWUXKWWXpKTqmUFWoVCcn3gVuIvaEBHb3l7RcA6hC3M611DocRGsxASKwPkkbkKIYOBHoBtwhZRye4X2ypkngPrA7ZV4TYVCoSg3SmI96SpwVkIi6oNlh8ZUmIZmmmAnP3N3uczeIDAEzhcnbh0wBxgAjJRSrqvwXjkgpdyMJqyPA2XP565QKBR+oDQCB87Lk6ERDW3lhbn/OZ0jzYWcO/G7x/ZSM/b45NztdLyaC5wvM7f3gGuAGUCOEKKHw6u+tZIQ4nIhxGigt6WoryW6yeXl0M+n0BzFO5ZDWwqFQlEtcF2ejG4/wHZMmgvd6hdk76cwz1mUikpkGsgC54u4WcXpCWCty2uiQ70PgO+Bpy2fn7V8Lsqp2yeklHuAL8vajkKhUPiTsixPhvarQ3SzfgTHNSjqNHLTt3k95knoAlXgfHHibiylFF5ez/pQr7GvnZFSHrGc87GHYzdbjvXztT2FQqGoapRF4ML61yep601FnpOXsd0WrcSTmJ0vAqeyAigUCkUVxlXg4q4bSGSjHl7rm405FGQfKnI58nwQOCVuCoVCUcmUNPakq8DVufM+hIufmyNFLU1aCXSBU+KmUCgU1QBHgQtOqk3isPFe6+Zl7vZocOJKIAucEjeFQqHwA6XJHOAocIlDxhKcWNtzRWnClHvMpzYDVeCUuCkUCoWfKIvADewQRI2rb/Naz5R7pLTd8omqLnBK3BQKhcKPlEXgRk7o7XX2JguSMRuzi2yntFkEbHWqsMAFtLiZTMXFZVYoFIrqiy5IT7dxo7weNztk8LZiFTRvouZIdRa4gBa3U6fKJ5CoQqFQVCRlmb21GX454XFxHusEW4xKSiJorvgicFWRgBa3lOR0cnPz/d0NhUKhKJbSClxoVBRXTH8JERrudrww9xgJMa3K3LfqaGAS0OImpeTaq55g/JinOXrktL+7o1AoFEVSWoGr3a4Noz94g5juA0kcOgGhCwbAZMwk8/RCzKa8ErWZlbyalCNfkpexy1ZW3QROSCmLr1VNEULYBnf3fWOY9sod/uyOQqFQ+MT2czklPmfOwQgAlu7Wc+abd0lb9L3tmNCHEVv7MsJj2qDTu8/wHDEZMjm993Xb57CYNiTUvxqh09LthHYqemnTGuTZG7tv7fuPlLJLkZXKgYCeuTnStWsbf3dBoVAoKgwnH7ihEwip08h2TJryST8xj1O7XyX95HyKmtTogpxnj/mZu8k8u9T2ubrM4M4LcatTN4krr+7r724oFAqFT5RmeRLsAndZt2iaPDOLWuPuISgyyaGGJCdtI3kZO7y2IYSeIMes30B2yhoM+Wd87kdVELiAF7cx1w1gz6FvEUL4uysKhULhM2UVuIEXBpEw4GqavvIlcReMQgTblyPTT/5GQfZhj+enZuxBH90aoXe+fvrJ35FSc6+qDi4CAS1udesl8fHnT6DTBfQwFQpFgFJWgevfxoQ+PII6991Lw1HvoI9IALREpylHvyIvc6/TedZQXELoCYrv7HSsMPcYuef+sX2u6gIX0N/6tWolqBmbQqGo1pRW4KxYMwlEDG5BnQGPoQ+P1w5IE2nHvsOQf9bjefrwuuijWjiVpZ+c75TpuyoLXECLm0KhUJyvWGdvjkRf2Y26g58jKKqmViBNpJ9aAHgOoBwU2wH0EU5l5479YEuGClVX4JS4KRQKRRWnPJYnrUQN70Dtfg/ZPhfmHMXsJT2O0AURktTbqcxYmEruuc1OZb4KXGWKnBI3hUKhCGA8CVxIfAOCY+tbPkkM+d6DXOhC4hGhNZzKMs6udKtX1cJ0KXFTKBSKakBZ9t5cBS60Xx1CE5vYjudl7Coy7qRwWZqUxiyk2Vjq/lQGStwUCoXiPMBV4GL697Edy0ldR+bZFV7jULqKG0gMBWfJzzpAXuZujAVpQNWavQX5uwMKhUKh8I328ZGlCs1lZXyzXOYcjKB/GxNLzANJXzmf3L1bAcg6uwyTIZ2EusNIy9wPYJvNZRszycja7dRW8sGPnD5H1+hDTK3+TgJXXKiuikTN3BQKheI8wjqDG9BOUv+ul4hoY/dnyz23hdSjXxMf1dhpmVIfHFtsu1nJf1OYe8yprGDLHr/N5pS4KRQKRTWirH5vYBe4QZ3DaXjvK8ReMsR2rCD7ICmHP8NkyLSVhUY2BKEvtt38rP0ey/0hckrcFAqF4jxmQHsddW55lKQRN9nKDPlnSD74MYaCFAB0+nDCo4vPC2c0ZBR5vDIFTombQqFQVDPKc/YGMKCtmRojb6bOzY/YZmgmYyZp/31r84GLiO/osZ3g8Hq29wV5RefNNJsKythr31HiplAoFOcprlFM4npdQYP7XkHoQwAwFiSTeXoxACERjZzqRsR3JqHhWOLqDrOVSVMeqRl7PEY7ATAbs8uz+0WixE2hUCiqIeUxewN3F4Godl2pNWGq7XjOuX8wGXOchEkXFE18veGEx7RCHxxjK5cOGb89iZyk8pJjK3FTKBSK8xxXgYvrPZSwJhZrSWkiN30bhoJkW/3gUHuOOC2zt0VKpAHpsvRoFbnUjD3og8pHkH1BiZtCoVBUU8pr9gbOAieEIL7vCNuxvNwdmByMRfQh8bb3aZn7EMHRts+G1NVIU77Ha6RlHSm3/haHEjeFQqFQAM4CF9OtP7owLTKJIfMkpgj7kqNr6K2g6Da29+aCsxSc+QuzIasSeuwdJW4KhUJRjSnP2Rs4ZPLuGEJMj0G28tz/Ntjem01aHeuemj6yMUGx7e2NmPIoPD2fwrPLMJz7x7YXJ5VBiUKhUCh8paIE7rKbhtrKzAa7ZaVV3BwJimlHcGIvpzJzwRlM2fspPLsEaTZiLjhTrv0sCiVuCoVCEQBUhMDVaNmcmm3cnbfNRk3crCG6pJQYsw9gOLfBrS5YZmzmQoyZO8u1j0WhxE2hUCgChIoQuAuuGulWbsZuERkTlkRh8lKM5zaBh6SnIiia4MRLMGYfAAdXgYpGiZtCoVAEEOUtcM9N6UmNVi2cyqQhj5AOLchKXsXZAx8gHdwE0Ieji2hIUGxHQmpfQWidoSD0mLJ2lWu/ikOlvFEoFAqFV/R6PYNffIavrplgKwtOqkPalq/JPLPYoaYgqkYvYmr0QeiCbaXGglTOnvi5EnusoWZuCoVCEWC0j48s1xncnX3iuPx/zyF0mmREtO5Exq75tuPBYXWo0ew2YmsNcBI2s7mQ1P++RZorL6akFTVzUygUigClrMlNHXnqls5E1XofY0EBW+Z8i9WlO6J+Z2r1vR+hc06JI6Xk7Kp3MBacLZfrlxQ1c1MoFIoApjxncPcNrU/dDu05vX2HrazWxCluwgaQd2o7OUfWlNu1S4oSN4VCoQhwyjtMl8lgsH0++ck0RBsTof3q2F4hfWuTcfQ3W52Ybv0RwSHl1gdfUOKmUCgU5wHlKXCTHrjW9r7g2AEOPzeRjLULbWW5e7eQd2C79kEfRMLA0UiDu5tARaLETaFQKM4Tyi1NzpSruffF29AFa8Yj5oI8Tn78Eic//R/SaCBl3ue2unG9Lie0YQtvTVUYStwUCoXiPKI8LCmFEIyZNIJPFkwntkF9W3nG6j85+fwN5O7dCoBOr2f4PWNJ2P59ma5XGpS4KRQKxXlIecziWl3YnB+Wv06LQf1tZZknTtretxwyiNCoKNa+91GZr1VSlLgpFArFeUp5CFxkVASzv7yPnoO6OpXXb1KHEf2aMbpxDmHhoWW+TkkRUlZe2u/K5qLOreTf62b6uxsKhUJRZSkvPzhDoYF5cxZydP9xjAYjv3zxBwD1GtehIC+flDPnrFX/kVJ2KZeLFkGxMzchxGghxI9CiKNCiDwhxF4hxP+EENEu9eKFEB8LIVKEEDlCiMVCiPYe2usnhNgjhMgUQswUQoQ4HGsshJCWV38P564SQiwv5VgVCoVC4UJ5GZkEhwRz9c1DuX/aZI4eOGYrP3HklKOwVRq+LEs+CJiAx4EhwAfAHcAiIYQOQAghgHmW43cDVwPBwDIhhG23UQgRCXwHzAJGAZ2AqV6u+1IpxqNQKBSKElLewZYNhcbiK1UwvojbcCnlGCnlHCnlCinlm8A9QHegn6XOCKAXcL2Ucq6U8k9LmQ542KGtNsAxKeVrUsolwAtAHw/XXAj0EEIML82gFAqFQlEyylPgrr55aPGVKphixU1KmeyheKPlZz3LzxHASSnlMofzMoDfAMdkQP8BzS1Lk4nABGCfh/Z/ADYDL1pmhQqFQqGoYMpL4AaPvpTGLRu4lddpUKtc2veF0lpL9rX83G352Q7Y4aHeTqChECIKQEp5FngSWASkAE2BaR7Ok5Z6FwLXejiuUCgUigqgvATumonuC29ZGdnl0rYvlDgrgBCiHvA8sFhKuclSnAAc8VA9zfIzHsgGkFK+I4T4CkgEDkkpzZ6uI6X8QwixCnheCPGDlNKnRVwhxG3AbdbrR4dcetiX8wKAJLQHhvMFNd7A5nwa73kz1uzMHICwyrhWicTNMgP7FTACNzseQpttuZ3iqR0p5TnAF/OZx4G/gZuAj33po5TyI+AjS383VYbJaVXgfBorqPEGOufTeM+nsYI23sq4js/LkkKIMDSLyKbAYCnlcYfDaWizN1fiLT9LZQcqpVwJ/Ak8LYSofC9AhUKhUFRLfBI3IUQw8CPQDbhCSrndpcpOtH03V9oC/0kpy7LQ+gRQH7i9DG0oFAqF4jzCFyduHTAHGACMlFKu81BtHlBPCNHX4bwYYLjlWKmRUm5GE9bHgZLudFZ+QDP/cT6NFdR4A53zabzn01ihksZbbPgtIcQHaLOml4DfXQ4fl1IetwjgKqAB8BDaMuRjaNaOHaSUx/ABIURj4DAwSUr5sUN5azRrTD2wQkrZz5f2FAqFQnF+4suy5OWWn08Aa11eEwEsFo/D0Ez83wd+RotqcqmvwlYUUso9wJdlbUehUCgU5wcBHThZoVAoFOcnVTbljRCipxBioRDirCXI8mYhxC0Ox2c7BFl2fe1xacvXYM2eXh39PVZLnXZCiJ+EECctgal3CiEeEEIEudSr0mMtwXg7CiH+FEJkW+rME0I099BWdRjvpZag33lCiDQhxJdCCLdQDaL8g49X+ph9GasQIloIMUMIsdwyBimE6OelvSo7VksffBnvACHEV0KIg5Z6B4UQHwghagboeDtb/ndPCCHyhRCnhRALhBAXV+p4pZRV7oW2V5cHLEML3zUImInmS3eHpU4zoIfL6zpLnVcd2ooEzgIPoBnFbAAecjje2HLONA/t9QAiqsBY6wLJwFZgDNAfbQ/UDLxSXcZagvG2ALLQlr5HogXi/hc4CdSsZuPtDRjQ9quvAK4HjqLtIYc61BPASuA4MBYtCPkKNOfe+tVhzCUYa2M096HFaMZiEujnob0qO9YSjvd74A803+C+aNs5J4BDQFQAjncA8C7a93Ff4BpgDVAIdKus8VboP3YZfonTLL+IKJfydcDaIs57yvLLaOdQ1gUtf5D183DgNw+/wIlVdaxoEVck0NKlzjfAqeoy1hKM92MgHYhzOF4fyMf5waU6jHcxcAAIcijraunXnQ5lIy1llzqUxaKJwNvVYcwlGKtweD8Q7+JWZcdawvHW8HBuH0u9WwJtvF7OjQYKgHcqa7xVdVkyBO0JIc+lPJ2il1JvQPtl7XQo8zVYs7/wZazWqXpmEXWg6o8VfBtvDzShS7celFrQgB1oqZKsVIfx9gAWSYfwcVLKjUAqzmMp7+Dj/sCnsUrLN5cPVOWxgu/j9SX4PATIeL2QgyZuBoeyCh1vVRW32Zafbwsh6goh4oQQk9Cmrm94OkEI0RNoDnzuWC59D9asE0IEubz05TOcIplt+VnUWL9H6/u7QogmQogYIcQotGWB16wNVYOxgm/jNaHN7lwpAJoJLVpOdRlvUWO5wOFzeQcf98eYfR2rT1TxsULZxmv1CbYGnw+48QohdEKIYCFEQ7RlSnAIo1jh4/XH9NbHKXBXtP0HaXkVArcWUX+mpU6Sl+PxaOKncylv7HAN11d2VRmrpe87HeqYgaer21h9GS9aQtvjQLBDWTTa7E4CdarLeNH2Eda7lDWy3L8Ch7J9wDcezp9o6W+Dqj5mX8fqctzrsmRVHmtpx+vwt7wH2IXDEl+gjRctdZm1f2eAXpV5f0ucFaAyEEK0QNto3onmQJ6HtjTzoRAiX0o5x6V+KJqhxe9SSo/RtWXxwZpfRAsK7YipdCPwHV/GKoSoAfyENrUfjbYM0B94UghRIKV8xbHNqjpW8PnevoW2Cf2hEOJptADfrwFRlmacMklU5fGijeUrIcSLwNtoMVg/QhuD4zjKO/i4P8bs61hLRBUdK5RivEKzbp6LthzZU3rIdhJA430YeAUtuMcU4HchxEBpzyYDVOB4K1rtS/mE8D1wEIcnd0v5HLTpq6vCj0H7YhhZims1xr+btMWOFZiOtt8W71LnJYqYrVa1sZbk3gJ3AhnYn9QWA5+gLYEE+3gtv4/X0o8X0ETcOuOeixaW7pBDnfXAXx7OfdhyXpSP1/L333OxY3WpX+zMraqOtaTjtfwvz0EzjBoQ6ON1OS8EbXXiz8oab1Xdc2sPbJNSGlzKN6DlgXP1D7kR7YtxQSX0rbzxZaztgQNSe8JxrROMNqWvLvh0b6WU71veXwA0lFIORHOJWO/h3CqNlPIptJxdF6ItqY5Fc3dY5VCtIoOPVxo+jjVgKOF4P0RLvnydlHJJ5fWy/Cjt/ZVSFqK581Tad1VVFbfTQEdHhz4L3dGeeqxJULE4EF4GfF3dvvQs+DLW02hWRfEe6oDmM1Nd8PneSikLpJQ7pZTHhObMPBD4oPK6Wn5IKXOklNullGeEEEOA1mhfdlYqLPh4ZePDWAMKX8YrhHgNbf/0ZinlL37oZrlRmvsrhIhAM/0/WBl9hFJk4q4k3kVbvvpNCPE+2jR4BJpz6xuWpwAr49HG8blbKyWjqRCih4fyfVLKNA/l5UWxYxVCfIg2zoVCiOloe279gAeBn2XJ43f6a6zg23jrA3egOX4WAJ3RskL8JKWcW4pr+m28QohOaPFZN1uKeqEFF39VSrnGoeo8NKf1r4QQjsHHBfBqKS5d6WMuwVgRQlyO5sRrjcDSVwiRBORIKf8o4aX9cn99Ha8Q4hHgfuBTYL9LX5OllCX9wq/q452J9pC6CW1FrRFwF1AHzcK7pJRuvP5au/VhvfVyYDlaZI4stOgcdwJ6l3rbgO1luE5jvFvkSGB0VRgrmo/JAuAUmmHJTjQz2vDqNFZfxgvUQttjS0ETt11oUQzcLMuq+njRlhpXoVl65qF9MdzspW4C2hdgGpALLEHLqlEtxlzCsR7x0r8j1WGsJRmv5W/dWx9nB+B4b0F7ME1FW405CHwNtK/Mv2UVOFmhUCgUAUdV3XNTKBQKhaLUKHFTKBQKRcChxE2hUCgUAYcSN4VCoVAEHErcFAqFQhFwKHFTKBQKRcChxE2hUCgUAYcSN4VCoVAEHErcFAqFQhFwKHFTKBQKRcChxE2hUCgUAYcSN4VCoVAEHErcFAqFQhFwKHFTKBQKRcChxE2hUCgUAYcSN4VCoVAEHErcFAqFQhFwKHFTKBQKRcChxE2hUCgUAYcSN4VCoVAEHErcFAqFQhFwKHFTKBQKRcChxE2hUCgUAYcSN4VCoVAEHErcFAqFQhFwKHFTKBQKRcChxE2hUCgUAYcSN4VCoVAEHErcFAqFQhFwKHFTKBQKRcChxE2hUCgUAYcSN4VCoVAEHErcFAqFQhFwKHFTKBQKRcChxE2hUCgUAYcSN4VCoVAEHErcFAqFQhFwKHFTKBQKRcChxE2hUCgUAYcSN4VCoVAEHErcFAqFQhFwKHFTKBQKRcChxE2hUCgUAYcSN4VCoVAEHErcFAqFQhFwKHFTKBQKRcChxE2hUCgUAYcSN4VCoVAEHErcFAqFQhFwKHFTKBQKRcChxE2hUCgUAYcSN4VCoVAEHErcFAqFQhFwKHFTKBQKRcChxE2hUCgUAYcSN4VCoVAEHEH+7kB1RwgR/eqrD2U+/PD0Gf7ui0KhUJSG4MRLHjSkrtFJKaW/+1JeKHErJUKI4Pfee7rwwgtbERERzu9/vfagv/tUHhzKyvd3F8qNJSdD/d2FcmPLf3p/d6HcMGxN9XcXygXDgf/83YVyQQLpKWsRIUlmIURfKeXf/u5TeaDErYQIIcTPP79nvuiidpw5k8qqVV8THR1FtuGkv7tWLiScy/F3F8qNvQcj/N2FcmNfZOCIW8GZU/7uQrmgOx04X5/BpkLMhkyMGf+u0IfXx5x/oq2Ucre/+1UWAufuVALr1n0n+/btxoIFK/jttw+oW7eWv7ukUCgU5YIuOIaQpF6YC1IwyMJdQVHNMeUcrCOlPO3vvpUGJW4+IIRods01Qw7k5RXw3ntP065dC393SaFQKCoEXWgSITX6Y847jrkw7VRwbHuMmTuipJTVallHiVsRCCGSpk69Ifniiztxxx1jufTSHv7ukkKhUFQ4Qgj0EQ3QhdfDlH0AERyXHZzQDeO5jcFSSqO/++cLyhXAA0KI8FdeeVB26NA6uVu3C1m16mslbAqF4rxDCB1B0S0JqdkfacxGBCcYQmr0lUII4e++FYeauTkghNB98cUrpg4dWqPX61m37jvCwgLH4k6hUChKg9CFEBzXAWnMwZCxHV1oLbMQoouU8h9/980bStwsLF/+pezevQNbt+5h6dLPSUiI83eXFAqFokohgiIJSeyBufAcxox/N+kjG2POPdpASnnc331zRS1LWvjuuz+IiAjjrrvGK2FTKBSKItCFxKOPbom5IJngpF7H/N0fTyhxs/D++1+Lxx+/nbFjH+CBB14mLS3d311SKBSKKoe58ByFySsw5RwBU26TwuSVVXL/TYmbAwMH3iTWr9+m79ixNf3738iMGZ+Qn1/g724pFAqF35HGXApT12FM34o5/1RXU84RIaU84u9+eUOJmwtSSvP11z8stm3bE2EymejRYwxff/0bZrPZ311TKBSKSkeaCzGkb6MwZRX6iIaYC87opJSb/N2v4lDi5gUpZd4jj8wQ27btqbF+/TZ69RrHsmXr/N0thUKhqBSkNGHM2kfh2aWIoCikIS24MHmFqC7BlZW1ZDFIKVPQQko2/+CDuftff302L7/8gIpSolAoAhIpJea84xgzd6EPr4c0pEcb0jZk+7tfJUWJm49IKQ8AYt267+SUKc/TokUjnn/+HurUqenvrikUCkW5YC5IwZCxDV1QDNJwro6hMK1axpUEtSxZYnr0GCNWrNigu+KKvgwdOplnnnmb7OxqFXJNoVAonDAbsihMWYUxczeyILmtMfuAqK4Bk62IarJ8WiWx5nR7//25BIf4uzflQ54pcAxn0goC59ktK79KWluXCnOWwd9dKBdkbqDkPpQYzUZkYUo/KeUKf/emvFDiVk4IIW6TUn7k736UlUAZB6ixVFUCZSyBMg4IrLFYCZxHW/9zm787UE4EyjhAjaWqEihjCZRxQGCNBVDiplAoFIoARImbQqFQKAIOJW7lR6CsVwfKOECNpaoSKGMJlHFAYI0FUAYlCoVCoQhA1MxNoVAoFAGHErdSIoSoL4R4RwixVgiRK4SQQojG/u5XaRFCXCGE+FsIkS2EyBRCbBJC9Pd3v4rCl3sghIgWQswQQiy3jEsKIfr5pcNeKMnfkhCihxDiTyFEuhAiRwixXQhxXSV32StCiNFCiB+FEEeFEHlCiL1CiP8JIaId6lSHe1LsOBzqVvV7MlgIsVQIcVoIUSCEOC6E+E4I0dahTpW/JyVFiVvpaQ6MAc4BK/3clzIhhJgM/Ar8A4wCrgG+ByL82S8f8OUeJAK3AEZgUSX1q6T49LckhBgK/A2cBsYBI4FZQFgl9NFXHgRMwOPAEOAD4A5gkRDC+n1THe6JL+OoLvckAe1/+y7gMuAxoB2wTgjRyFK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      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting with cartopy jjas_pr_mean\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    " \n",
    "m1 = ax.contourf(pr_mm['lon'][:], pr_mm['lat'][:],pr_mm,\n",
    "                 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(NorESM) Mean jjas precip')\n",
    " \n",
    "\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_noresm_jjas_mean.png\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now I will plot the annual precipitation rate in mm/day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[2.3669582e-04, 2.0229594e-04, 1.9181645e-04, ..., 4.7668222e-05,\n",
       "        4.1542058e-05, 3.4619028e-05],\n",
       "       [2.2543482e-04, 1.7630671e-04, 1.7071735e-04, ..., 4.0747836e-05,\n",
       "        3.6765097e-05, 3.4187051e-05],\n",
       "       [2.5681147e-04, 2.0701512e-04, 1.7389543e-04, ..., 3.4585366e-05,\n",
       "        3.4235218e-05, 3.5077454e-05],\n",
       "       ...,\n",
       "       [6.6490291e-05, 6.2065388e-05, 2.6922229e-05, ..., 3.9356652e-05,\n",
       "        4.6418409e-05, 6.6928362e-05],\n",
       "       [1.1090200e-04, 5.3344731e-05, 3.5821009e-05, ..., 4.8577702e-05,\n",
       "        5.2868458e-05, 7.4240372e-05],\n",
       "       [1.3627741e-04, 6.0546219e-05, 5.9238639e-05, ..., 6.9291840e-05,\n",
       "        7.4467098e-05, 8.8560664e-05]], 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</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-d6501761-0ec0-4cd4-91d2-008a27484e5e' class='xr-array-in' type='checkbox' checked><label for='section-d6501761-0ec0-4cd4-91d2-008a27484e5e' 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>0.0002367 0.0002023 0.0001918 ... 6.929e-05 7.447e-05 8.856e-05</span></div><div class='xr-array-data'><pre>array([[2.3669582e-04, 2.0229594e-04, 1.9181645e-04, ..., 4.7668222e-05,\n",
       "        4.1542058e-05, 3.4619028e-05],\n",
       "       [2.2543482e-04, 1.7630671e-04, 1.7071735e-04, ..., 4.0747836e-05,\n",
       "        3.6765097e-05, 3.4187051e-05],\n",
       "       [2.5681147e-04, 2.0701512e-04, 1.7389543e-04, ..., 3.4585366e-05,\n",
       "        3.4235218e-05, 3.5077454e-05],\n",
       "       ...,\n",
       "       [6.6490291e-05, 6.2065388e-05, 2.6922229e-05, ..., 3.9356652e-05,\n",
       "        4.6418409e-05, 6.6928362e-05],\n",
       "       [1.1090200e-04, 5.3344731e-05, 3.5821009e-05, ..., 4.8577702e-05,\n",
       "        5.2868458e-05, 7.4240372e-05],\n",
       "       [1.3627741e-04, 6.0546219e-05, 5.9238639e-05, ..., 6.9291840e-05,\n",
       "        7.4467098e-05, 8.8560664e-05]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-9b2ab9b1-7d72-408f-9dc2-15ba1ad1747e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9b2ab9b1-7d72-408f-9dc2-15ba1ad1747e' 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-1e04995f-446f-4a97-9f28-de66d55b2dff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e04995f-446f-4a97-9f28-de66d55b2dff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97001f36-d050-4b94-8e1b-8fa8ee771705' class='xr-var-data-in' type='checkbox'><label for='data-97001f36-d050-4b94-8e1b-8fa8ee771705' 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-441df7ca-0ebc-4a55-b815-94ed33c4cf6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-441df7ca-0ebc-4a55-b815-94ed33c4cf6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-592fcfa0-e148-4727-9de9-4260415c9d15' class='xr-var-data-in' type='checkbox'><label for='data-592fcfa0-e148-4727-9de9-4260415c9d15' 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-59accd9c-08f4-4a7c-a11a-ec40b16c72e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59accd9c-08f4-4a7c-a11a-ec40b16c72e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af40bf5a-ecf3-4496-abae-5a0eaa6a252a' class='xr-var-data-in' type='checkbox'><label for='data-af40bf5a-ecf3-4496-abae-5a0eaa6a252a' 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-b61c14d0-a8f0-4704-b240-2f7c34efd18c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b61c14d0-a8f0-4704-b240-2f7c34efd18c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4599cedf-01c8-48eb-b26b-13f02873ea69' class='xr-var-data-in' type='checkbox'><label for='data-4599cedf-01c8-48eb-b26b-13f02873ea69' 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-7b36b981-73e8-4e70-9e5a-25714a72f1e1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7b36b981-73e8-4e70-9e5a-25714a72f1e1' 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([[2.3669582e-04, 2.0229594e-04, 1.9181645e-04, ..., 4.7668222e-05,\n",
       "        4.1542058e-05, 3.4619028e-05],\n",
       "       [2.2543482e-04, 1.7630671e-04, 1.7071735e-04, ..., 4.0747836e-05,\n",
       "        3.6765097e-05, 3.4187051e-05],\n",
       "       [2.5681147e-04, 2.0701512e-04, 1.7389543e-04, ..., 3.4585366e-05,\n",
       "        3.4235218e-05, 3.5077454e-05],\n",
       "       ...,\n",
       "       [6.6490291e-05, 6.2065388e-05, 2.6922229e-05, ..., 3.9356652e-05,\n",
       "        4.6418409e-05, 6.6928362e-05],\n",
       "       [1.1090200e-04, 5.3344731e-05, 3.5821009e-05, ..., 4.8577702e-05,\n",
       "        5.2868458e-05, 7.4240372e-05],\n",
       "       [1.3627741e-04, 6.0546219e-05, 5.9238639e-05, ..., 6.9291840e-05,\n",
       "        7.4467098e-05, 8.8560664e-05]], 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": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annual_mean = data.pr.mean('time')\n",
    "annual_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
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       "\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[20.45051898, 17.47836904, 16.57294119, ...,  4.11853435,\n",
       "         3.58923383,  2.99108403],\n",
       "       [19.47756861, 15.23289992, 14.74997909, ...,  3.52061307,\n",
       "         3.17650441,  2.9537612 ],\n",
       "       [22.18851121, 17.88610672, 15.02456521, ...,  2.98817562,\n",
       "         2.95792281,  3.03069198],\n",
       "       ...,\n",
       "       [ 5.74476114,  5.36244954,  2.3260806 , ...,  3.40041469,\n",
       "         4.0105505 ,  5.78261046],\n",
       "       [ 9.58193291,  4.60898476,  3.09493518, ...,  4.19711344,\n",
       "         4.56783475,  6.41436812],\n",
       "       [11.77436784,  5.23119334,  5.11821838, ...,  5.98681499,\n",
       "         6.43395726,  7.65164138]])\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-0a930210-f5f9-4433-ab35-df9e5f4db440' class='xr-array-in' type='checkbox' checked><label for='section-0a930210-f5f9-4433-ab35-df9e5f4db440' 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>20.45 17.48 16.57 15.9 15.67 15.49 ... 6.053 5.87 5.987 6.434 7.652</span></div><div class='xr-array-data'><pre>array([[20.45051898, 17.47836904, 16.57294119, ...,  4.11853435,\n",
       "         3.58923383,  2.99108403],\n",
       "       [19.47756861, 15.23289992, 14.74997909, ...,  3.52061307,\n",
       "         3.17650441,  2.9537612 ],\n",
       "       [22.18851121, 17.88610672, 15.02456521, ...,  2.98817562,\n",
       "         2.95792281,  3.03069198],\n",
       "       ...,\n",
       "       [ 5.74476114,  5.36244954,  2.3260806 , ...,  3.40041469,\n",
       "         4.0105505 ,  5.78261046],\n",
       "       [ 9.58193291,  4.60898476,  3.09493518, ...,  4.19711344,\n",
       "         4.56783475,  6.41436812],\n",
       "       [11.77436784,  5.23119334,  5.11821838, ...,  5.98681499,\n",
       "         6.43395726,  7.65164138]])</pre></div></div></li><li class='xr-section-item'><input id='section-ef675bd5-dffa-417c-992c-a50142c9814b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ef675bd5-dffa-417c-992c-a50142c9814b' 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-8ba87c4b-47c2-4813-b579-34f05c1c4d4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ba87c4b-47c2-4813-b579-34f05c1c4d4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de40824c-9b64-46e5-aa38-cb7472b90188' class='xr-var-data-in' type='checkbox'><label for='data-de40824c-9b64-46e5-aa38-cb7472b90188' 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-2dec7003-309d-4578-b1e2-0cf390c91078' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2dec7003-309d-4578-b1e2-0cf390c91078' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e74b1fe9-2be5-4aed-9a32-3fb84bf78228' class='xr-var-data-in' type='checkbox'><label for='data-e74b1fe9-2be5-4aed-9a32-3fb84bf78228' 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-b40cd72d-b50e-4568-a5d4-6ecf06ed87c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b40cd72d-b50e-4568-a5d4-6ecf06ed87c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49f62f20-6618-46d1-9756-54e1a4af58fd' class='xr-var-data-in' type='checkbox'><label for='data-49f62f20-6618-46d1-9756-54e1a4af58fd' 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-eed2647e-c217-46d2-bcce-a3d129aefc2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eed2647e-c217-46d2-bcce-a3d129aefc2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88655d4b-735e-4596-ad47-8e28dd47f99c' class='xr-var-data-in' type='checkbox'><label for='data-88655d4b-735e-4596-ad47-8e28dd47f99c' 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-a9e9a7aa-2c36-43c4-9845-73c13bf1df99' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a9e9a7aa-2c36-43c4-9845-73c13bf1df99' 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([[20.45051898, 17.47836904, 16.57294119, ...,  4.11853435,\n",
       "         3.58923383,  2.99108403],\n",
       "       [19.47756861, 15.23289992, 14.74997909, ...,  3.52061307,\n",
       "         3.17650441,  2.9537612 ],\n",
       "       [22.18851121, 17.88610672, 15.02456521, ...,  2.98817562,\n",
       "         2.95792281,  3.03069198],\n",
       "       ...,\n",
       "       [ 5.74476114,  5.36244954,  2.3260806 , ...,  3.40041469,\n",
       "         4.0105505 ,  5.78261046],\n",
       "       [ 9.58193291,  4.60898476,  3.09493518, ...,  4.19711344,\n",
       "         4.56783475,  6.41436812],\n",
       "       [11.77436784,  5.23119334,  5.11821838, ...,  5.98681499,\n",
       "         6.43395726,  7.65164138]])\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": 13,
     "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": 14,
   "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",
    "#ax.add_feature(cfeature.STATES)\n",
    "#plt.title('RegCM(NorESM1-M) Annual mean precip rate in mm/day',fontweight='bold',fontsize=15)\n",
    "\n",
    "plt.title('RegCM(NorESM) Annual mean precip rate in mm/day')\n",
    "\n",
    "\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_noresm_annual_mean.png\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
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}