diff --git a/.gitignore b/.gitignore
index 21c8d5a998..67e2f23472 100644
--- a/.gitignore
+++ b/.gitignore
@@ -82,6 +82,7 @@ coverage.xml
 
 # Datafiles
 *.csv
+wrfout*
 # Ignore some csv 
 !pvlib/data/*.csv 
 
diff --git a/docs/tutorials/WRF_forecast_to_power.ipynb b/docs/tutorials/WRF_forecast_to_power.ipynb
new file mode 100644
index 0000000000..6d23c9ce92
--- /dev/null
+++ b/docs/tutorials/WRF_forecast_to_power.ipynb
@@ -0,0 +1,1824 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# WRF Forecast to Power Tutorial\n",
+    "\n",
+    "This tutorial will walk through the process of going from a WRF forecast model data to AC power using the SAPM.\n",
+    "\n",
+    "Table of contents:\n",
+    "1. [Setup](#Setup)\n",
+    "2. [Load Forecast Data](#Load-Forecast-Data)\n",
+    "2. [Pull a location from NY-Sun Database and extract meteorological data](#Pull-a-location-from-NY-Sun-Database-and-extract-meteorological-data)\n",
+    "2. [Module-Specific Power Calculation](#Module-Specific-Power-Calculationn)\n",
+    "2. [Nameplate Capacity-Based Power Calculation](#Nameplate-Capacity-Based-Power-Calculation)\n",
+    "\n",
+    "This tutorial requires pvlib from [my GitHub repo](https://github.com/jeffreysward/pvlib-python)!\n",
+    "\n",
+    "Authors:\n",
+    "* Jeffrey Sward (jas983@cornell.edu), Cornell University, November 2020"
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Setup"
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# built in python modules\n",
+    "import datetime\n",
+    "import os\n",
+    "import inspect\n",
+    "import sys\n",
+    "\n",
+    "# python add-ons\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import xarray as xr\n",
+    "import netCDF4\n",
+    "import wrf\n",
+    "from optwrf import runwrf as rw\n",
+    "from optwrf import postwrf as pw\n",
+    "from optwrf import util\n",
+    "\n",
+    "# Import the pvlib module\n",
+    "import pvlib\n",
+    "from pvlib.wrfcast import WRF\n",
+    "from pvlib.location import Location\n",
+    "from pvlib.pvsystem import PVSystem, retrieve_sam\n",
+    "from pvlib.modelchain import ModelChain"
+   ],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "No module named 'pyresample'\n"
+     ]
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Load Forecast Data"
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "source": [
+    "# Specify the forecast model as WRF\n",
+    "fm = WRF()"
+   ],
+   "outputs": [],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "source": [
+    "# Specify the absolute path to WRF data file (wrfout*.nc)\n",
+    "wrfout_dir = '/Users/jeffreysward/Box Sync/01_Research/01_Renewable_Analysis/WRF_Solar_and_Wind/wrf_data/data/wrf/'\n",
+    "wrfout_file = 'wrfout_d01_2020-06-30_00:00:00'"
+   ],
+   "outputs": [],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "source": [
+    "# Get raw variables from the wrfout.nc file\n",
+    "# If you like, you can specify a start and end time here, but it needs to be contianed within the \n",
+    "# WRF timeframe and the data will be sliced accordingly. Otherwise, the method assumes that you want \n",
+    "# the full time horizon available in the WRF datafile.\n",
+    "forecast_data = fm.get_data(wrfout_dir, wrfout_file, start='07-01-2020', end='07-02-2020 12')\n",
+    "forecast_data"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
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+       "    ISOILWATER:                      14\n",
+       "    HYBRID_OPT:                      2\n",
+       "    ETAC:                            0.2</pre><div class='xr-wrap' hidden><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-ed4895b2-a97d-41a9-ba8e-f6548a4839ec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ed4895b2-a97d-41a9-ba8e-f6548a4839ec' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>south_north</span>: 82</li><li><span>west_east</span>: 110</li><li><span class='xr-has-index'>Time</span>: 37</li><li><span>bottom_top</span>: 35</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-84a61e1d-62a6-40fb-a876-e5f95e7c90ca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-84a61e1d-62a6-40fb-a876-e5f95e7c90ca' 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>XLONG</span></div><div class='xr-var-dims'>(south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-83.34 -83.21 ... -67.75 -67.6</div><input id='attrs-1e9e395c-73fe-45fa-9fc8-e0fb2efd856f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1e9e395c-73fe-45fa-9fc8-e0fb2efd856f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e6f5577-5196-472a-b6e1-f1c6cd96f72b' class='xr-var-data-in' type='checkbox'><label for='data-8e6f5577-5196-472a-b6e1-f1c6cd96f72b' 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([[-83.342224, -83.20813 , -83.074005, ..., -68.925995, -68.79187 ,\n",
+       "        -68.657776],\n",
+       "       [-83.35364 , -83.21936 , -83.08502 , ..., -68.91498 , -68.78064 ,\n",
+       "        -68.64636 ],\n",
+       "       [-83.36511 , -83.23062 , -83.09607 , ..., -68.90393 , -68.76938 ,\n",
+       "        -68.63489 ],\n",
+       "       ...,\n",
+       "       [-84.36969 , -84.21704 , -84.06436 , ..., -67.93564 , -67.78296 ,\n",
+       "        -67.63031 ],\n",
+       "       [-84.38452 , -84.23163 , -84.078674, ..., -67.921326, -67.76837 ,\n",
+       "        -67.61548 ],\n",
+       "       [-84.399414, -84.24625 , -84.09302 , ..., -67.90698 , -67.75375 ,\n",
+       "        -67.600586]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XLAT</span></div><div class='xr-var-dims'>(south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>36.88 36.89 36.9 ... 45.59 45.58</div><input id='attrs-7f398cb0-3003-49a7-98e9-c7d40b474365' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f398cb0-3003-49a7-98e9-c7d40b474365' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be818945-155c-42cf-91a9-9c3dcffdd2d3' class='xr-var-data-in' type='checkbox'><label for='data-be818945-155c-42cf-91a9-9c3dcffdd2d3' 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([[36.88204 , 36.891087, 36.899967, ..., 36.899967, 36.891087,\n",
+       "        36.88204 ],\n",
+       "       [36.989292, 36.998356, 37.007244, ..., 37.007244, 36.998356,\n",
+       "        36.989292],\n",
+       "       [37.096558, 37.105637, 37.11454 , ..., 37.11454 , 37.105637,\n",
+       "        37.096558],\n",
+       "       ...,\n",
+       "       [45.368923, 45.37924 , 45.389355, ..., 45.389355, 45.37924 ,\n",
+       "        45.368923],\n",
+       "       [45.476128, 45.48646 , 45.4966  , ..., 45.4966  , 45.48646 ,\n",
+       "        45.476128],\n",
+       "       [45.583324, 45.593678, 45.603844, ..., 45.603844, 45.593678,\n",
+       "        45.583324]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XTIME</span></div><div class='xr-var-dims'>(Time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.44e+03 1.5e+03 ... 3.6e+03</div><input id='attrs-f4252c17-fff5-4f02-8fc2-7dc93e20962b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4252c17-fff5-4f02-8fc2-7dc93e20962b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f39b1ad7-7fb4-4471-9e9e-0c22538de2b6' class='xr-var-data-in' type='checkbox'><label for='data-f39b1ad7-7fb4-4471-9e9e-0c22538de2b6' 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([1440., 1500., 1560., 1620., 1680., 1740., 1800., 1860., 1920.,\n",
+       "       1980., 2040., 2100., 2160., 2220., 2280., 2340., 2400., 2460.,\n",
+       "       2520., 2580., 2640., 2700., 2760., 2820., 2880., 2940., 3000.,\n",
+       "       3060., 3120., 3180., 3240., 3300., 3360., 3420., 3480., 3540.,\n",
+       "       3600.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Time</span></div><div class='xr-var-dims'>(Time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-07-01 ... 2020-07-02T12:00:00</div><input id='attrs-84e159b3-0c47-4f74-9653-208123d95f32' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84e159b3-0c47-4f74-9653-208123d95f32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-239834db-f5b0-459d-9781-3f36cb28a8cd' class='xr-var-data-in' type='checkbox'><label for='data-239834db-f5b0-459d-9781-3f36cb28a8cd' 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;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-07-01T01:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-01T02:00:00.000000000&#x27;, &#x27;2020-07-01T03:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-01T04:00:00.000000000&#x27;, &#x27;2020-07-01T05:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-01T06:00:00.000000000&#x27;, &#x27;2020-07-01T07:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-01T08:00:00.000000000&#x27;, &#x27;2020-07-01T09:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-01T10:00:00.000000000&#x27;, &#x27;2020-07-01T11:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-01T12:00:00.000000000&#x27;, &#x27;2020-07-01T13:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-01T14:00:00.000000000&#x27;, &#x27;2020-07-01T15:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-01T16:00:00.000000000&#x27;, &#x27;2020-07-01T17:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-01T18:00:00.000000000&#x27;, &#x27;2020-07-01T19:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-01T20:00:00.000000000&#x27;, &#x27;2020-07-01T21:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-01T22:00:00.000000000&#x27;, &#x27;2020-07-01T23:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-02T00:00:00.000000000&#x27;, &#x27;2020-07-02T01:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-02T02:00:00.000000000&#x27;, &#x27;2020-07-02T03:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-02T04:00:00.000000000&#x27;, &#x27;2020-07-02T05:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-02T06:00:00.000000000&#x27;, &#x27;2020-07-02T07:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-02T08:00:00.000000000&#x27;, &#x27;2020-07-02T09:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-02T10:00:00.000000000&#x27;, &#x27;2020-07-02T11:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-02T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f392eb30-75d3-46e2-92f2-b15478c6b0a2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f392eb30-75d3-46e2-92f2-b15478c6b0a2' class='xr-section-summary' >Data variables: <span>(7)</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>T2</span></div><div class='xr-var-dims'>(Time, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>295.7 295.2 294.7 ... 293.1 293.3</div><input id='attrs-63a52a06-33f3-4473-8847-fd6ac798482e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63a52a06-33f3-4473-8847-fd6ac798482e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4a9bb20-a2d0-47a3-a100-4df23298dc83' class='xr-var-data-in' type='checkbox'><label for='data-b4a9bb20-a2d0-47a3-a100-4df23298dc83' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>TEMP at 2 M</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-76.0, moad_cen_lat=41.499996185302734, truelat1=40.0, truelat2=43.0, pole_lat=90.0, pole_lon=0.0)</dd></dl></div><div class='xr-var-data'><pre>array([[[295.71643, 295.20166, 294.67355, ..., 298.31445, 298.27646,\n",
+       "         298.2053 ],\n",
+       "        [296.16522, 295.65314, 295.06876, ..., 298.60306, 298.55768,\n",
+       "         298.40585],\n",
+       "        [296.62106, 296.31342, 296.04465, ..., 298.8875 , 298.80038,\n",
+       "         298.6328 ],\n",
+       "        ...,\n",
+       "        [299.86325, 298.3809 , 297.1456 , ..., 293.12027, 293.1042 ,\n",
+       "         293.34485],\n",
+       "        [299.0433 , 296.8049 , 295.58582, ..., 293.0388 , 293.10736,\n",
+       "         293.12964],\n",
+       "        [297.5625 , 294.5766 , 290.94034, ..., 293.13446, 293.0047 ,\n",
+       "         293.0099 ]],\n",
+       "\n",
+       "       [[293.5994 , 293.3096 , 292.79614, ..., 298.17514, 298.11993,\n",
+       "         298.03894],\n",
+       "        [293.83475, 293.2484 , 292.73993, ..., 298.46774, 298.39313,\n",
+       "         298.20593],\n",
+       "        [294.37814, 293.92627, 293.67456, ..., 298.7143 , 298.58887,\n",
+       "         298.3534 ],\n",
+       "...\n",
+       "        [293.2475 , 293.09872, 293.16168, ..., 292.33453, 292.47696,\n",
+       "         292.32553],\n",
+       "        [293.20892, 292.6719 , 292.72522, ..., 292.38354, 292.61618,\n",
+       "         292.46326],\n",
+       "        [293.09576, 292.60742, 290.84222, ..., 292.02924, 292.2838 ,\n",
+       "         292.4658 ]],\n",
+       "\n",
+       "       [[294.0742 , 293.9746 , 294.14386, ..., 298.17215, 298.2144 ,\n",
+       "         298.2947 ],\n",
+       "        [293.94803, 294.1386 , 293.8013 , ..., 298.18585, 298.2329 ,\n",
+       "         298.26144],\n",
+       "        [294.64893, 294.79718, 294.8668 , ..., 298.15015, 298.18857,\n",
+       "         298.1764 ],\n",
+       "        ...,\n",
+       "        [295.05722, 295.07162, 295.09995, ..., 293.19708, 293.30518,\n",
+       "         293.04657],\n",
+       "        [294.85556, 294.44534, 294.45145, ..., 293.23184, 293.46014,\n",
+       "         293.31635],\n",
+       "        [294.52197, 293.57352, 291.03265, ..., 292.8517 , 293.12988,\n",
+       "         293.3404 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U10</span></div><div class='xr-var-dims'>(Time, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.4813 0.5105 ... 1.856 1.876</div><input id='attrs-42f3d0dd-6db6-45f2-a22f-e4116e2fae45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42f3d0dd-6db6-45f2-a22f-e4116e2fae45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ed97630-996f-48ab-b16a-e3f22cba12d9' class='xr-var-data-in' type='checkbox'><label for='data-1ed97630-996f-48ab-b16a-e3f22cba12d9' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>U at 10 M</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-76.0, moad_cen_lat=41.499996185302734, truelat1=40.0, truelat2=43.0, pole_lat=90.0, pole_lon=0.0)</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.48126242,  0.5105399 ,  0.6324326 , ..., -1.2550228 ,\n",
+       "         -1.3129749 , -1.2762104 ],\n",
+       "        [ 0.35425228,  0.523691  ,  0.5602251 , ..., -1.5591353 ,\n",
+       "         -1.4016325 , -1.2739378 ],\n",
+       "        [ 0.65329796,  0.8359656 ,  0.84208506, ..., -1.9067277 ,\n",
+       "         -1.6477501 , -1.4312973 ],\n",
+       "        ...,\n",
+       "        [-3.221232  , -3.1803186 , -2.8480482 , ..., -3.037387  ,\n",
+       "         -2.6176283 , -2.4141798 ],\n",
+       "        [-3.141297  , -2.8359427 , -2.7343357 , ..., -3.1386745 ,\n",
+       "         -2.95268   , -2.6590083 ],\n",
+       "        [-3.36456   , -3.2914822 , -3.2005227 , ..., -3.0509822 ,\n",
+       "         -3.0454879 , -2.9428613 ]],\n",
+       "\n",
+       "       [[ 0.54462624,  0.65245855,  0.85672283, ..., -1.2516556 ,\n",
+       "         -1.3228666 , -1.2976694 ],\n",
+       "        [ 0.32365212,  0.48443925,  0.43003199, ..., -1.5731512 ,\n",
+       "         -1.5114098 , -1.3999122 ],\n",
+       "        [ 0.4994959 ,  0.6460181 ,  0.61909306, ..., -1.9071459 ,\n",
+       "         -1.724648  , -1.5529573 ],\n",
+       "...\n",
+       "        [ 2.0557508 ,  2.168514  ,  2.2738512 , ...,  1.8370616 ,\n",
+       "          1.6977452 ,  1.6656555 ],\n",
+       "        [ 2.148882  ,  2.2369747 ,  2.5037415 , ...,  1.7987752 ,\n",
+       "          1.739019  ,  1.745325  ],\n",
+       "        [ 2.5150874 ,  2.8604834 ,  3.1991649 , ...,  1.7957222 ,\n",
+       "          2.0037465 ,  2.0506108 ]],\n",
+       "\n",
+       "       [[-2.0321488 , -2.3651118 , -2.9679112 , ..., -1.2614357 ,\n",
+       "         -1.3204619 , -1.4102722 ],\n",
+       "        [-0.93306863, -0.86643153, -1.0851699 , ..., -1.0174818 ,\n",
+       "         -1.071161  , -1.2095771 ],\n",
+       "        [-0.8061397 , -0.67436033, -0.7320186 , ..., -0.7104593 ,\n",
+       "         -0.7801662 , -0.9836675 ],\n",
+       "        ...,\n",
+       "        [ 2.1977537 ,  2.321504  ,  2.4057379 , ...,  1.7295686 ,\n",
+       "          1.6198287 ,  1.5740551 ],\n",
+       "        [ 2.2626476 ,  2.2686112 ,  2.5366864 , ...,  1.707185  ,\n",
+       "          1.6779803 ,  1.6535138 ],\n",
+       "        [ 2.758577  ,  3.094199  ,  3.4192498 , ...,  1.6994303 ,\n",
+       "          1.8560222 ,  1.8762738 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V10</span></div><div class='xr-var-dims'>(Time, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.02025 -0.1091 ... 1.856 1.92</div><input id='attrs-c8b21419-7dfb-4436-b791-764b6c9677ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8b21419-7dfb-4436-b791-764b6c9677ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b140a658-f6fe-4f78-a467-15ee4ad66805' class='xr-var-data-in' type='checkbox'><label for='data-b140a658-f6fe-4f78-a467-15ee4ad66805' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>V at 10 M</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-76.0, moad_cen_lat=41.499996185302734, truelat1=40.0, truelat2=43.0, pole_lat=90.0, pole_lon=0.0)</dd></dl></div><div class='xr-var-data'><pre>array([[[-0.02024964, -0.1090778 , -0.3976524 , ...,  1.7039853 ,\n",
+       "          1.7130136 ,  1.694802  ],\n",
+       "        [ 0.34275696,  0.35477984,  0.27497664, ...,  1.5828471 ,\n",
+       "          1.6489942 ,  1.6425316 ],\n",
+       "        [ 0.58804595,  0.6679229 ,  0.78063333, ...,  1.2570615 ,\n",
+       "          1.4449655 ,  1.5173976 ],\n",
+       "        ...,\n",
+       "        [ 0.17822903,  0.26638588,  0.33796397, ..., -2.6229205 ,\n",
+       "         -2.5445826 , -2.629527  ],\n",
+       "        [ 0.15979832,  0.33741507,  0.3715555 , ..., -2.5406013 ,\n",
+       "         -2.5655274 , -2.588823  ],\n",
+       "        [ 0.25246924,  0.50793123,  0.5936543 , ..., -2.4121754 ,\n",
+       "         -2.4901958 , -2.5445192 ]],\n",
+       "\n",
+       "       [[ 0.4952482 ,  0.4074214 ,  0.12846377, ...,  2.016859  ,\n",
+       "          2.1681993 ,  2.3033292 ],\n",
+       "        [ 0.7821699 ,  0.89109784,  0.7216126 , ...,  1.9947816 ,\n",
+       "          2.2057157 ,  2.395575  ],\n",
+       "        [ 1.0117939 ,  1.2626585 ,  1.4001158 , ...,  1.8705192 ,\n",
+       "          2.1484482 ,  2.3946548 ],\n",
+       "...\n",
+       "        [-0.48312947, -0.61527807, -0.7809738 , ...,  1.8892149 ,\n",
+       "          1.7424672 ,  1.79625   ],\n",
+       "        [-0.46722606, -0.62694454, -0.81558114, ...,  1.8383901 ,\n",
+       "          1.7258807 ,  1.9810462 ],\n",
+       "        [-0.5452602 , -0.8322152 , -1.097139  , ...,  2.0261354 ,\n",
+       "          1.9529984 ,  2.1408622 ]],\n",
+       "\n",
+       "       [[-1.1825144 , -1.4415739 , -1.7267692 , ..., -3.1299613 ,\n",
+       "         -3.2536054 , -3.4739792 ],\n",
+       "        [-0.7566478 , -0.9023962 , -0.84505874, ..., -2.8198197 ,\n",
+       "         -3.0132253 , -3.339177  ],\n",
+       "        [-0.45342666, -0.48149568, -0.3841627 , ..., -2.500268  ,\n",
+       "         -2.756887  , -3.1156585 ],\n",
+       "        ...,\n",
+       "        [-0.5080959 , -0.73133516, -0.8783117 , ...,  1.8692592 ,\n",
+       "          1.722483  ,  1.678759  ],\n",
+       "        [-0.48344493, -0.69479716, -0.86501366, ...,  1.7877475 ,\n",
+       "          1.7361826 ,  1.7997706 ],\n",
+       "        [-0.5490655 , -0.85036534, -1.090205  , ...,  1.8572588 ,\n",
+       "          1.8561156 ,  1.9198184 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CLDFRA</span></div><div class='xr-var-dims'>(Time, bottom_top, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-377b6c34-e443-4d5c-aea5-6f306e85aab7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-377b6c34-e443-4d5c-aea5-6f306e85aab7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86be1355-8c39-4e4a-ac3c-f46dbd00daa4' class='xr-var-data-in' type='checkbox'><label for='data-86be1355-8c39-4e4a-ac3c-f46dbd00daa4' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XYZ</dd><dt><span>description :</span></dt><dd>CLOUD FRACTION</dd><dt><span>units :</span></dt><dd></dd><dt><span>stagger :</span></dt><dd></dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-76.0, moad_cen_lat=41.499996185302734, truelat1=40.0, truelat2=43.0, pole_lat=90.0, pole_lon=0.0)</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "         ...,\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ]],\n",
+       "\n",
+       "        [[0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "...\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ]],\n",
+       "\n",
+       "        [[0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "         ...,\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ],\n",
+       "         [0.        , 0.        , 0.        , ..., 0.        ,\n",
+       "          0.        , 0.        ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>COSZEN</span></div><div class='xr-var-dims'>(Time, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.185 0.1833 ... 0.4929 0.4945</div><input id='attrs-634a3026-cd16-4f2d-8129-d3df8435b4db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-634a3026-cd16-4f2d-8129-d3df8435b4db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f664da8-8a1e-4eb4-a9bd-ec838576563f' class='xr-var-data-in' type='checkbox'><label for='data-6f664da8-8a1e-4eb4-a9bd-ec838576563f' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>COS of SOLAR ZENITH ANGLE</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-76.0, moad_cen_lat=41.499996185302734, truelat1=40.0, truelat2=43.0, pole_lat=90.0, pole_lon=0.0)</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.18495972,  0.18329723,  0.1816341 , ...,  0.00391792,\n",
+       "          0.00220808,  0.00049801],\n",
+       "        [ 0.18576293,  0.18410031,  0.18243702, ...,  0.00469601,\n",
+       "          0.00298569,  0.00127578],\n",
+       "        [ 0.18656595,  0.18490322,  0.18323947, ...,  0.00547422,\n",
+       "          0.00376382,  0.00205348],\n",
+       "        ...,\n",
+       "        [ 0.24634117,  0.2446772 ,  0.2430129 , ...,  0.06522784,\n",
+       "          0.06351657,  0.06180522],\n",
+       "        [ 0.24708445,  0.24542114,  0.24375696, ...,  0.06599659,\n",
+       "          0.06428543,  0.06257431],\n",
+       "        [ 0.24782677,  0.24616376,  0.24449968, ...,  0.06676526,\n",
+       "          0.06505431,  0.06334357]],\n",
+       "\n",
+       "       [[-0.00335117, -0.00490171, -0.00645238, ..., -0.16896228,\n",
+       "         -0.17049578, -0.1720293 ],\n",
+       "        [-0.00229071, -0.00384162, -0.00539242, ..., -0.16792516,\n",
+       "         -0.1694589 , -0.17099218],\n",
+       "        [-0.00122987, -0.00278082, -0.0043319 , ..., -0.1668868 ,\n",
+       "         -0.16842102, -0.16995454],\n",
+       "...\n",
+       "        [ 0.14102276,  0.14278184,  0.14454013, ...,  0.32557747,\n",
+       "          0.3272563 ,  0.32893434],\n",
+       "        [ 0.14163055,  0.14338918,  0.14514734, ...,  0.32615936,\n",
+       "          0.32783806,  0.32951558],\n",
+       "        [ 0.14223774,  0.1439961 ,  0.14575425, ...,  0.3267399 ,\n",
+       "          0.3284184 ,  0.33009565]],\n",
+       "\n",
+       "       [[ 0.28339338,  0.28515628,  0.2869182 , ...,  0.46484643,\n",
+       "          0.46646154,  0.46807498],\n",
+       "        [ 0.2837611 ,  0.28552407,  0.28728625, ...,  0.4652394 ,\n",
+       "          0.46685487,  0.46846816],\n",
+       "        [ 0.28412774,  0.28589088,  0.28765345, ...,  0.46563068,\n",
+       "          0.4672464 ,  0.46886012],\n",
+       "        ...,\n",
+       "        [ 0.30927223,  0.31103677,  0.31279993, ...,  0.49079716,\n",
+       "          0.4924135 ,  0.49402827],\n",
+       "        [ 0.30955702,  0.3113211 ,  0.3130842 , ...,  0.4910565 ,\n",
+       "          0.49267268,  0.494287  ],\n",
+       "        [ 0.30984077,  0.31160462,  0.31336758, ...,  0.49131393,\n",
+       "          0.49293005,  0.49454415]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWDDNI</span></div><div class='xr-var-dims'>(Time, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>368.9 468.3 703.1 ... 686.8 631.8</div><input id='attrs-a9458684-0e10-4aab-b81a-a22a61d41c21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9458684-0e10-4aab-b81a-a22a61d41c21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14f666be-4710-495f-8f27-5a0f2fb05e53' class='xr-var-data-in' type='checkbox'><label for='data-14f666be-4710-495f-8f27-5a0f2fb05e53' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>Shortwave surface downward direct normal irradiance</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-76.0, moad_cen_lat=41.499996185302734, truelat1=40.0, truelat2=43.0, pole_lat=90.0, pole_lon=0.0)</dd></dl></div><div class='xr-var-data'><pre>array([[[3.6890720e+02, 4.6834604e+02, 7.0314935e+02, ...,\n",
+       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [6.2533704e+02, 4.2774268e+02, 5.3534552e+02, ...,\n",
+       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [4.5842453e+02, 5.3972662e+02, 5.7437720e+02, ...,\n",
+       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        ...,\n",
+       "        [6.9727032e+02, 6.9830225e+02, 6.9790314e+02, ...,\n",
+       "         1.6824231e-19, 2.0834066e-12, 1.1745272e+02],\n",
+       "        [6.9906567e+02, 6.9957819e+02, 6.9694421e+02, ...,\n",
+       "         1.1161187e-06, 9.4412080e-06, 9.0979279e+01],\n",
+       "        [7.0085443e+02, 6.9991608e+02, 6.9608710e+02, ...,\n",
+       "         2.7785387e+01, 1.0755506e-18, 8.6863632e-19]],\n",
+       "\n",
+       "       [[0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
+       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
+       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "        [0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,\n",
+       "         0.0000000e+00, 0.0000000e+00, 0.0000000e+00],\n",
+       "...\n",
+       "        [5.9542413e+02, 5.9644617e+02, 5.9766913e+02, ...,\n",
+       "         6.4361267e+02, 7.6600085e+02, 6.5997003e+02],\n",
+       "        [5.9610809e+02, 5.9693866e+02, 5.9721710e+02, ...,\n",
+       "         7.6407135e+02, 7.5157971e+02, 6.3534375e+02],\n",
+       "        [5.9689923e+02, 5.9742975e+02, 5.9751013e+02, ...,\n",
+       "         5.4814264e+02, 7.2633582e+02, 7.4320648e+02]],\n",
+       "\n",
+       "       [[7.6671838e+02, 7.7332068e+02, 7.8243481e+02, ...,\n",
+       "         7.0819647e+02, 7.8293140e+02, 8.3648260e+02],\n",
+       "        [7.6876917e+02, 7.6700989e+02, 7.7743585e+02, ...,\n",
+       "         8.2948438e+02, 8.1674030e+02, 7.5419006e+02],\n",
+       "        [7.6479449e+02, 6.9737677e+02, 7.3544293e+02, ...,\n",
+       "         8.0691211e+02, 8.3605499e+02, 8.1105029e+02],\n",
+       "        ...,\n",
+       "        [7.8004456e+02, 7.7886737e+02, 7.7798871e+02, ...,\n",
+       "         6.9938361e+02, 7.2726202e+02, 6.4621460e+02],\n",
+       "        [7.8001453e+02, 7.7874255e+02, 7.7709778e+02, ...,\n",
+       "         7.7503503e+02, 6.3441559e+02, 6.7707495e+02],\n",
+       "        [7.7996777e+02, 7.7841412e+02, 7.7663690e+02, ...,\n",
+       "         8.1328058e+02, 6.8677295e+02, 6.3177179e+02]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWDDIF</span></div><div class='xr-var-dims'>(Time, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>45.53 35.79 14.69 ... 90.93 100.2</div><input id='attrs-cb3d6f70-b912-48db-84b9-33c098563871' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb3d6f70-b912-48db-84b9-33c098563871' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43b76268-cc54-4d08-a77e-9061dbf06272' class='xr-var-data-in' type='checkbox'><label for='data-43b76268-cc54-4d08-a77e-9061dbf06272' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>Shortwave surface downward diffuse irradiance</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-76.0, moad_cen_lat=41.499996185302734, truelat1=40.0, truelat2=43.0, pole_lat=90.0, pole_lon=0.0)</dd></dl></div><div class='xr-var-data'><pre>array([[[ 45.53097  ,  35.791534 ,  14.689255 , ...,   0.       ,\n",
+       "           0.       ,   0.       ],\n",
+       "        [ 22.57898  ,  35.40117  ,  37.57325  , ...,   0.       ,\n",
+       "           0.       ,   0.       ],\n",
+       "        [ 35.085464 ,  33.355324 ,  26.450157 , ...,   0.       ,\n",
+       "           0.       ,   0.       ],\n",
+       "        ...,\n",
+       "        [ 33.207764 ,  33.207687 ,  33.00728  , ...,  14.289013 ,\n",
+       "          13.48886  ,   7.8529468],\n",
+       "        [ 33.324387 ,  33.215927 ,  33.14943  , ...,  13.37279  ,\n",
+       "          14.031316 ,   5.465052 ],\n",
+       "        [ 33.518066 ,  33.316605 ,  32.242172 , ...,   8.324507 ,\n",
+       "           7.0875497,   4.5866737]],\n",
+       "\n",
+       "       [[  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "           0.       ,   0.       ],\n",
+       "        [  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "           0.       ,   0.       ],\n",
+       "        [  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
+       "           0.       ,   0.       ],\n",
+       "...\n",
+       "        [ 27.148499 ,  27.386902 ,  27.500984 , ...,  73.41707  ,\n",
+       "          40.95932  ,  73.80409  ],\n",
+       "        [ 27.24253  ,  27.410332 ,  27.617142 , ...,  42.066345 ,\n",
+       "          52.54825  ,  68.01161  ],\n",
+       "        [ 27.38453  ,  27.49572  ,  27.040161 , ...,  76.83275  ,\n",
+       "          46.558746 ,  43.283325 ]],\n",
+       "\n",
+       "       [[ 37.265762 ,  37.26271  ,  37.171204 , ...,  80.09747  ,\n",
+       "          59.61844  ,  44.713104 ],\n",
+       "        [ 36.13835  ,  38.47081  ,  37.46924  , ...,  46.369263 ,\n",
+       "          52.64377  ,  72.593414 ],\n",
+       "        [ 36.46077  ,  55.871994 ,  47.010925 , ...,  56.289124 ,\n",
+       "          43.923615 ,  54.099976 ],\n",
+       "        ...,\n",
+       "        [ 39.56961  ,  39.81903  ,  39.7623   , ..., 110.63397  ,\n",
+       "          99.29199  , 100.72232  ],\n",
+       "        [ 39.648254 ,  39.729736 ,  39.89456  , ...,  82.59161  ,\n",
+       "         132.1146   ,  97.64151  ],\n",
+       "        [ 39.858307 ,  39.79596  ,  38.324646 , ...,  79.946045 ,\n",
+       "          90.93091  , 100.211426 ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7341f638-5274-4d78-9caa-9862bdb39fd4' class='xr-section-summary-in' type='checkbox'  ><label for='section-7341f638-5274-4d78-9caa-9862bdb39fd4' class='xr-section-summary' >Attributes: <span>(139)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>TEMP at 2 M</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>coordinates :</span></dt><dd>XLONG XLAT XTIME</dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-76.0, moad_cen_lat=41.499996185302734, truelat1=40.0, truelat2=43.0, pole_lat=90.0, pole_lon=0.0)</dd><dt><span>TITLE :</span></dt><dd> OUTPUT FROM WRF V4.2.1 MODEL</dd><dt><span>START_DATE :</span></dt><dd>2020-06-30_00:00:00</dd><dt><span>SIMULATION_START_DATE :</span></dt><dd>2020-06-30_00:00:00</dd><dt><span>WEST-EAST_GRID_DIMENSION :</span></dt><dd>111</dd><dt><span>SOUTH-NORTH_GRID_DIMENSION :</span></dt><dd>83</dd><dt><span>BOTTOM-TOP_GRID_DIMENSION :</span></dt><dd>36</dd><dt><span>DX :</span></dt><dd>12000.0</dd><dt><span>DY :</span></dt><dd>12000.0</dd><dt><span>AERCU_OPT :</span></dt><dd>0</dd><dt><span>AERCU_FCT :</span></dt><dd>1.0</dd><dt><span>IDEAL_CASE :</span></dt><dd>0</dd><dt><span>DIFF_6TH_SLOPEOPT :</span></dt><dd>0</dd><dt><span>AUTO_LEVELS_OPT :</span></dt><dd>2</dd><dt><span>DIFF_6TH_THRESH :</span></dt><dd>0.1</dd><dt><span>DZBOT :</span></dt><dd>50.0</dd><dt><span>DZSTRETCH_S :</span></dt><dd>1.3</dd><dt><span>DZSTRETCH_U :</span></dt><dd>1.1</dd><dt><span>SKEBS_ON :</span></dt><dd>0</dd><dt><span>SPEC_BDY_FINAL_MU :</span></dt><dd>1</dd><dt><span>USE_Q_DIABATIC :</span></dt><dd>0</dd><dt><span>GRIDTYPE :</span></dt><dd>C</dd><dt><span>DIFF_OPT :</span></dt><dd>1</dd><dt><span>KM_OPT :</span></dt><dd>4</dd><dt><span>DAMP_OPT :</span></dt><dd>0</dd><dt><span>DAMPCOEF :</span></dt><dd>0.2</dd><dt><span>KHDIF :</span></dt><dd>0.0</dd><dt><span>KVDIF :</span></dt><dd>0.0</dd><dt><span>MP_PHYSICS :</span></dt><dd>28</dd><dt><span>RA_LW_PHYSICS :</span></dt><dd>4</dd><dt><span>RA_SW_PHYSICS :</span></dt><dd>4</dd><dt><span>SF_SFCLAY_PHYSICS :</span></dt><dd>1</dd><dt><span>SF_SURFACE_PHYSICS :</span></dt><dd>2</dd><dt><span>BL_PBL_PHYSICS :</span></dt><dd>5</dd><dt><span>CU_PHYSICS :</span></dt><dd>1</dd><dt><span>SF_LAKE_PHYSICS :</span></dt><dd>0</dd><dt><span>SURFACE_INPUT_SOURCE :</span></dt><dd>1</dd><dt><span>SST_UPDATE :</span></dt><dd>0</dd><dt><span>GRID_FDDA :</span></dt><dd>0</dd><dt><span>GFDDA_INTERVAL_M :</span></dt><dd>0</dd><dt><span>GFDDA_END_H :</span></dt><dd>0</dd><dt><span>GRID_SFDDA :</span></dt><dd>0</dd><dt><span>SGFDDA_INTERVAL_M :</span></dt><dd>0</dd><dt><span>SGFDDA_END_H :</span></dt><dd>0</dd><dt><span>HYPSOMETRIC_OPT :</span></dt><dd>2</dd><dt><span>USE_THETA_M :</span></dt><dd>1</dd><dt><span>GWD_OPT :</span></dt><dd>0</dd><dt><span>SF_URBAN_PHYSICS :</span></dt><dd>0</dd><dt><span>SF_SURFACE_MOSAIC :</span></dt><dd>0</dd><dt><span>SF_OCEAN_PHYSICS :</span></dt><dd>0</dd><dt><span>SHCU_PHYSICS :</span></dt><dd>0</dd><dt><span>MFSHCONV :</span></dt><dd>0</dd><dt><span>FEEDBACK :</span></dt><dd>1</dd><dt><span>SMOOTH_OPTION :</span></dt><dd>0</dd><dt><span>SWRAD_SCAT :</span></dt><dd>1.0</dd><dt><span>W_DAMPING :</span></dt><dd>0</dd><dt><span>DT :</span></dt><dd>45.0</dd><dt><span>RADT :</span></dt><dd>15.0</dd><dt><span>BLDT :</span></dt><dd>0.0</dd><dt><span>CUDT :</span></dt><dd>0.0</dd><dt><span>AER_OPT :</span></dt><dd>0</dd><dt><span>SWINT_OPT :</span></dt><dd>1</dd><dt><span>AER_TYPE :</span></dt><dd>1</dd><dt><span>AER_AOD550_OPT :</span></dt><dd>1</dd><dt><span>AER_ANGEXP_OPT :</span></dt><dd>1</dd><dt><span>AER_SSA_OPT :</span></dt><dd>1</dd><dt><span>AER_ASY_OPT :</span></dt><dd>1</dd><dt><span>AER_AOD550_VAL :</span></dt><dd>0.12</dd><dt><span>AER_ANGEXP_VAL :</span></dt><dd>1.3</dd><dt><span>AER_SSA_VAL :</span></dt><dd>0.85</dd><dt><span>AER_ASY_VAL :</span></dt><dd>0.9</dd><dt><span>MOIST_ADV_OPT :</span></dt><dd>1</dd><dt><span>SCALAR_ADV_OPT :</span></dt><dd>1</dd><dt><span>TKE_ADV_OPT :</span></dt><dd>1</dd><dt><span>DIFF_6TH_OPT :</span></dt><dd>0</dd><dt><span>DIFF_6TH_FACTOR :</span></dt><dd>0.12</dd><dt><span>OBS_NUDGE_OPT :</span></dt><dd>0</dd><dt><span>BUCKET_MM :</span></dt><dd>-1.0</dd><dt><span>BUCKET_J :</span></dt><dd>-1.0</dd><dt><span>PREC_ACC_DT :</span></dt><dd>0.0</dd><dt><span>ISFTCFLX :</span></dt><dd>0</dd><dt><span>ISHALLOW :</span></dt><dd>0</dd><dt><span>ISFFLX :</span></dt><dd>1</dd><dt><span>ICLOUD :</span></dt><dd>1</dd><dt><span>ICLOUD_CU :</span></dt><dd>0</dd><dt><span>TRACER_PBLMIX :</span></dt><dd>1</dd><dt><span>SCALAR_PBLMIX :</span></dt><dd>0</dd><dt><span>YSU_TOPDOWN_PBLMIX :</span></dt><dd>0</dd><dt><span>GRAV_SETTLING :</span></dt><dd>0</dd><dt><span>DFI_OPT :</span></dt><dd>0</dd><dt><span>NTASKS_X :</span></dt><dd>4</dd><dt><span>NTASKS_Y :</span></dt><dd>6</dd><dt><span>NTASKS_TOTAL :</span></dt><dd>24</dd><dt><span>SIMULATION_INITIALIZATION_TYPE :</span></dt><dd>REAL-DATA CASE</dd><dt><span>WEST-EAST_PATCH_START_UNSTAG :</span></dt><dd>1</dd><dt><span>WEST-EAST_PATCH_END_UNSTAG :</span></dt><dd>110</dd><dt><span>WEST-EAST_PATCH_START_STAG :</span></dt><dd>1</dd><dt><span>WEST-EAST_PATCH_END_STAG :</span></dt><dd>111</dd><dt><span>SOUTH-NORTH_PATCH_START_UNSTAG :</span></dt><dd>1</dd><dt><span>SOUTH-NORTH_PATCH_END_UNSTAG :</span></dt><dd>82</dd><dt><span>SOUTH-NORTH_PATCH_START_STAG :</span></dt><dd>1</dd><dt><span>SOUTH-NORTH_PATCH_END_STAG :</span></dt><dd>83</dd><dt><span>BOTTOM-TOP_PATCH_START_UNSTAG :</span></dt><dd>1</dd><dt><span>BOTTOM-TOP_PATCH_END_UNSTAG :</span></dt><dd>35</dd><dt><span>BOTTOM-TOP_PATCH_START_STAG :</span></dt><dd>1</dd><dt><span>BOTTOM-TOP_PATCH_END_STAG :</span></dt><dd>36</dd><dt><span>GRID_ID :</span></dt><dd>1</dd><dt><span>PARENT_ID :</span></dt><dd>1</dd><dt><span>I_PARENT_START :</span></dt><dd>1</dd><dt><span>J_PARENT_START :</span></dt><dd>1</dd><dt><span>PARENT_GRID_RATIO :</span></dt><dd>1</dd><dt><span>CEN_LAT :</span></dt><dd>41.499996</dd><dt><span>CEN_LON :</span></dt><dd>-76.0</dd><dt><span>TRUELAT1 :</span></dt><dd>40.0</dd><dt><span>TRUELAT2 :</span></dt><dd>43.0</dd><dt><span>MOAD_CEN_LAT :</span></dt><dd>41.499996</dd><dt><span>STAND_LON :</span></dt><dd>-76.0</dd><dt><span>POLE_LAT :</span></dt><dd>90.0</dd><dt><span>POLE_LON :</span></dt><dd>0.0</dd><dt><span>GMT :</span></dt><dd>0.0</dd><dt><span>JULYR :</span></dt><dd>2020</dd><dt><span>JULDAY :</span></dt><dd>182</dd><dt><span>MAP_PROJ :</span></dt><dd>1</dd><dt><span>MAP_PROJ_CHAR :</span></dt><dd>Lambert Conformal</dd><dt><span>MMINLU :</span></dt><dd>MODIFIED_IGBP_MODIS_NOAH</dd><dt><span>NUM_LAND_CAT :</span></dt><dd>21</dd><dt><span>ISWATER :</span></dt><dd>17</dd><dt><span>ISLAKE :</span></dt><dd>21</dd><dt><span>ISICE :</span></dt><dd>15</dd><dt><span>ISURBAN :</span></dt><dd>13</dd><dt><span>ISOILWATER :</span></dt><dd>14</dd><dt><span>HYBRID_OPT :</span></dt><dd>2</dd><dt><span>ETAC :</span></dt><dd>0.2</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (south_north: 82, west_east: 110, Time: 37, bottom_top: 35)\n",
+       "Coordinates:\n",
+       "    XLONG    (south_north, west_east) float32 -83.34 -83.21 ... -67.75 -67.6\n",
+       "    XLAT     (south_north, west_east) float32 36.88 36.89 36.9 ... 45.59 45.58\n",
+       "    XTIME    (Time) float32 1.44e+03 1.5e+03 1.56e+03 ... 3.54e+03 3.6e+03\n",
+       "  * Time     (Time) datetime64[ns] 2020-07-01 ... 2020-07-02T12:00:00\n",
+       "Dimensions without coordinates: south_north, west_east, bottom_top\n",
+       "Data variables:\n",
+       "    T2       (Time, south_north, west_east) float32 295.7 295.2 ... 293.1 293.3\n",
+       "    U10      (Time, south_north, west_east) float32 0.4813 0.5105 ... 1.876\n",
+       "    V10      (Time, south_north, west_east) float32 -0.02025 -0.1091 ... 1.92\n",
+       "    CLDFRA   (Time, bottom_top, south_north, west_east) float32 0.0 0.0 ... 0.0\n",
+       "    COSZEN   (Time, south_north, west_east) float32 0.185 0.1833 ... 0.4945\n",
+       "    SWDDNI   (Time, south_north, west_east) float32 368.9 468.3 ... 686.8 631.8\n",
+       "    SWDDIF   (Time, south_north, west_east) float32 45.53 35.79 ... 90.93 100.2\n",
+       "Attributes: (12/139)\n",
+       "    FieldType:                       104\n",
+       "    MemoryOrder:                     XY \n",
+       "    description:                     TEMP at 2 M\n",
+       "    units:                           K\n",
+       "    stagger:                         \n",
+       "    coordinates:                     XLONG XLAT XTIME\n",
+       "    ...                              ...\n",
+       "    ISLAKE:                          21\n",
+       "    ISICE:                           15\n",
+       "    ISURBAN:                         13\n",
+       "    ISOILWATER:                      14\n",
+       "    HYBRID_OPT:                      2\n",
+       "    ETAC:                            0.2"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 37
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "source": [
+    "# Process the data to use with PVLib\n",
+    "forecast_data = fm.process_data(forecast_data)"
+   ],
+   "outputs": [],
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "The ``xarray Dataset`` below shows which variables are included in the processed WRF data"
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "source": [
+    "forecast_data.head()"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
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+       "}\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: 5, south_north: 5, west_east: 5)\n",
+       "Coordinates:\n",
+       "    XLONG       (south_north, west_east) float32 -83.34 -83.21 ... -82.98 -82.85\n",
+       "    XLAT        (south_north, west_east) float32 36.88 36.89 ... 37.34 37.35\n",
+       "  * Time        (Time) datetime64[ns] 2020-07-01 ... 2020-07-01T04:00:00\n",
+       "Dimensions without coordinates: south_north, west_east\n",
+       "Data variables:\n",
+       "    temp_air    (Time, south_north, west_east) float32 22.57 22.05 ... 19.43\n",
+       "    wind_speed  (Time, south_north, west_east) float32 0.4817 0.5221 ... 2.358\n",
+       "    ghi         (Time, south_north, west_east) float32 113.8 121.6 ... 0.0 0.0\n",
+       "    dni         (Time, south_north, west_east) float32 368.9 468.3 ... 0.0 0.0\n",
+       "    dhi         (Time, south_north, west_east) float32 45.53 35.79 ... 0.0 0.0\n",
+       "Attributes: (12/139)\n",
+       "    FieldType:                       104\n",
+       "    MemoryOrder:                     XY \n",
+       "    description:                     TEMP at 2 M\n",
+       "    units:                           K\n",
+       "    stagger:                         \n",
+       "    coordinates:                     XLONG XLAT XTIME\n",
+       "    ...                              ...\n",
+       "    ISLAKE:                          21\n",
+       "    ISICE:                           15\n",
+       "    ISURBAN:                         13\n",
+       "    ISOILWATER:                      14\n",
+       "    HYBRID_OPT:                      2\n",
+       "    ETAC:                            0.2</pre><div class='xr-wrap' hidden><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-7f347594-0ba1-41a0-a672-c53d8696dee0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7f347594-0ba1-41a0-a672-c53d8696dee0' 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>: 5</li><li><span>south_north</span>: 5</li><li><span>west_east</span>: 5</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f2cc9111-f59d-4f24-8ccc-296a0f236853' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f2cc9111-f59d-4f24-8ccc-296a0f236853' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>XLONG</span></div><div class='xr-var-dims'>(south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-83.34 -83.21 ... -82.98 -82.85</div><input id='attrs-0134b72f-074f-4dc1-8d57-1d811aabda01' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0134b72f-074f-4dc1-8d57-1d811aabda01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01e4bdf3-93f5-4774-9282-e88ca46e2481' class='xr-var-data-in' type='checkbox'><label for='data-01e4bdf3-93f5-4774-9282-e88ca46e2481' 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([[-83.342224, -83.20813 , -83.074005, -82.93985 , -82.805664],\n",
+       "       [-83.35364 , -83.21936 , -83.08502 , -82.95065 , -82.81625 ],\n",
+       "       [-83.36511 , -83.23062 , -83.09607 , -82.96149 , -82.826904],\n",
+       "       [-83.37662 , -83.24191 , -83.10718 , -82.97238 , -82.837555],\n",
+       "       [-83.38815 , -83.253235, -83.118286, -82.98328 , -82.84827 ]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XLAT</span></div><div class='xr-var-dims'>(south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>36.88 36.89 36.9 ... 37.34 37.35</div><input id='attrs-2a75ceb8-923b-4f5d-a38b-8f69326cc1e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a75ceb8-923b-4f5d-a38b-8f69326cc1e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afac226c-b7f1-470d-aaf1-bf2b5cc6ef61' class='xr-var-data-in' type='checkbox'><label for='data-afac226c-b7f1-470d-aaf1-bf2b5cc6ef61' 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([[36.88204 , 36.891087, 36.899967, 36.90868 , 36.917225],\n",
+       "       [36.989292, 36.998356, 37.007244, 37.015972, 37.02454 ],\n",
+       "       [37.096558, 37.105637, 37.11454 , 37.123283, 37.131855],\n",
+       "       [37.20384 , 37.21293 , 37.22185 , 37.2306  , 37.239197],\n",
+       "       [37.311123, 37.320225, 37.329166, 37.337948, 37.346546]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Time</span></div><div class='xr-var-dims'>(Time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-07-01 ... 2020-07-01T04:00:00</div><input id='attrs-da185701-2a0d-4b27-9246-7a0d807f818b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-da185701-2a0d-4b27-9246-7a0d807f818b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bf2237b-34fc-49e3-aaa8-a753e3561398' class='xr-var-data-in' type='checkbox'><label for='data-7bf2237b-34fc-49e3-aaa8-a753e3561398' 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;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-07-01T01:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-01T02:00:00.000000000&#x27;, &#x27;2020-07-01T03:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-07-01T04:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c208ba6e-1546-4088-8623-c6bfe18dfa0b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c208ba6e-1546-4088-8623-c6bfe18dfa0b' class='xr-section-summary' >Data variables: <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>temp_air</span></div><div class='xr-var-dims'>(Time, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>22.57 22.05 21.52 ... 19.22 19.43</div><input id='attrs-3bfbd71f-4cf5-4a58-843f-e0b243edd069' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3bfbd71f-4cf5-4a58-843f-e0b243edd069' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bd57069-8c87-4613-9aa4-024e82a0ec1c' class='xr-var-data-in' type='checkbox'><label for='data-6bd57069-8c87-4613-9aa4-024e82a0ec1c' 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([[[22.566437, 22.051666, 21.52356 , 21.297577, 21.290833],\n",
+       "        [23.015228, 22.503143, 21.918762, 21.4841  , 21.297089],\n",
+       "        [23.47107 , 23.163422, 22.894653, 22.66809 , 21.953583],\n",
+       "        [23.885895, 23.66745 , 23.284729, 23.093567, 22.810547],\n",
+       "        [24.04602 , 23.876831, 23.396667, 23.210297, 23.731842]],\n",
+       "\n",
+       "       [[20.449402, 20.159607, 19.646149, 19.622314, 19.754883],\n",
+       "        [20.684753, 20.09842 , 19.589935, 19.210358, 19.34665 ],\n",
+       "        [21.22815 , 20.776276, 20.524567, 20.382751, 19.680176],\n",
+       "        [21.459381, 21.247925, 20.855316, 20.689362, 20.348297],\n",
+       "        [21.676422, 21.4133  , 20.752869, 20.489777, 21.12091 ]],\n",
+       "\n",
+       "       [[19.922363, 19.626831, 19.494476, 19.431427, 19.520569],\n",
+       "        [20.076355, 19.57721 , 19.337646, 18.882355, 18.995361],\n",
+       "        [20.685577, 20.346924, 20.173431, 20.10907 , 19.205261],\n",
+       "        [20.965424, 20.823334, 20.502167, 20.298065, 19.81073 ],\n",
+       "        [21.162323, 21.030487, 20.285217, 19.895538, 20.145996]],\n",
+       "\n",
+       "       [[19.451477, 19.260345, 19.218842, 19.180054, 19.365753],\n",
+       "        [19.525238, 19.127045, 18.757782, 18.523346, 18.763489],\n",
+       "        [20.396088, 19.927765, 19.96576 , 19.907318, 18.821136],\n",
+       "        [20.614899, 20.495422, 20.322968, 20.025635, 19.488556],\n",
+       "        [20.767822, 20.680115, 19.860931, 19.441895, 19.443817]],\n",
+       "\n",
+       "       [[19.166779, 18.916626, 19.008514, 18.910767, 19.13385 ],\n",
+       "        [19.274292, 18.812347, 18.472748, 18.25177 , 18.43396 ],\n",
+       "        [20.0307  , 19.677124, 19.810364, 19.673767, 18.583008],\n",
+       "        [20.271057, 20.241486, 20.00055 , 19.834656, 19.231598],\n",
+       "        [20.518646, 20.395111, 19.60608 , 19.220428, 19.43106 ]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed</span></div><div class='xr-var-dims'>(Time, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.4817 0.5221 ... 1.969 2.358</div><input id='attrs-2faa7c97-6b30-4e88-ad5d-7fc71b13f1ce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2faa7c97-6b30-4e88-ad5d-7fc71b13f1ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7ece838-a974-46ec-b8ba-f59d20f548d5' class='xr-var-data-in' type='checkbox'><label for='data-f7ece838-a974-46ec-b8ba-f59d20f548d5' 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([[[0.48168826, 0.5220622 , 0.7470599 , 0.86306417, 0.9579711 ],\n",
+       "        [0.49292699, 0.6325512 , 0.62407076, 0.74741286, 1.0425962 ],\n",
+       "        [0.87897456, 1.0700278 , 1.1482577 , 1.3337051 , 1.4692404 ],\n",
+       "        [1.1644397 , 1.3935921 , 1.5654633 , 1.8093987 , 1.8475486 ],\n",
+       "        [1.4175174 , 1.6474134 , 1.793522  , 1.8109717 , 1.8447407 ]],\n",
+       "\n",
+       "       [[0.7361308 , 0.7692167 , 0.8663007 , 1.0795568 , 1.1851313 ],\n",
+       "        [0.8464871 , 1.0142666 , 0.8400311 , 1.204843  , 1.501956  ],\n",
+       "        [1.1283718 , 1.418325  , 1.5308824 , 1.8253247 , 2.094436  ],\n",
+       "        [1.3757142 , 1.6479087 , 1.9051197 , 2.2967072 , 2.5356483 ],\n",
+       "        [1.5863159 , 1.8489375 , 2.080443  , 2.325633  , 2.6000013 ]],\n",
+       "\n",
+       "       [[1.187592  , 1.3210126 , 1.3893186 , 1.3347515 , 1.7325003 ],\n",
+       "        [1.228957  , 1.4497882 , 1.248223  , 0.93308395, 1.8042536 ],\n",
+       "        [1.47068   , 1.6521723 , 1.7011256 , 1.8983116 , 2.1626885 ],\n",
+       "        [1.6875051 , 1.7439156 , 1.9230367 , 2.2595813 , 2.4672792 ],\n",
+       "        [1.8178427 , 1.849319  , 1.9471154 , 2.125894  , 2.3654702 ]],\n",
+       "\n",
+       "       [[1.6812377 , 1.95007   , 2.1367977 , 2.1456835 , 2.2295382 ],\n",
+       "        [1.6712534 , 2.0101492 , 1.7903488 , 1.5667069 , 1.938121  ],\n",
+       "        [1.8720601 , 1.9895489 , 1.9229044 , 1.9609733 , 2.1380744 ],\n",
+       "        [2.0879326 , 1.9654218 , 2.0347521 , 2.1835623 , 2.3777444 ],\n",
+       "        [2.1516368 , 1.9894178 , 1.9235429 , 1.9192517 , 2.2705336 ]],\n",
+       "\n",
+       "       [[1.5100609 , 1.7897032 , 2.1199238 , 1.8337864 , 2.045489  ],\n",
+       "        [1.5600078 , 1.8928691 , 1.8315212 , 1.1715294 , 1.6946834 ],\n",
+       "        [1.762155  , 1.9379723 , 1.8906012 , 1.8836323 , 2.012394  ],\n",
+       "        [1.9816849 , 1.9381402 , 2.0213618 , 2.1351538 , 2.4345517 ],\n",
+       "        [2.0667415 , 1.9819946 , 1.949379  , 1.9685937 , 2.357633  ]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ghi</span></div><div class='xr-var-dims'>(Time, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>113.8 121.6 142.4 ... 0.0 0.0 0.0</div><input id='attrs-7428500f-aa0c-4875-891b-aeb59d3e6746' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7428500f-aa0c-4875-891b-aeb59d3e6746' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e50870d8-581c-4a67-99f3-e8d057a2247c' class='xr-var-data-in' type='checkbox'><label for='data-e50870d8-581c-4a67-99f3-e8d057a2247c' 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([[[113.76395 , 121.63807 , 142.40515 , 103.961174, 124.71678 ],\n",
+       "        [138.74341 , 114.14873 , 135.24008 , 133.89677 , 107.20182 ],\n",
+       "        [120.61187 , 133.15251 , 131.69873 , 127.94379 , 115.649284],\n",
+       "        [129.47095 , 122.80286 , 118.09926 , 129.03442 , 117.75885 ],\n",
+       "        [129.84251 , 131.06781 , 130.99442 , 126.03541 , 128.20642 ]],\n",
+       "\n",
+       "       [[  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ]],\n",
+       "\n",
+       "       [[  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ]],\n",
+       "\n",
+       "       [[  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ]],\n",
+       "\n",
+       "       [[  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ],\n",
+       "        [  0.      ,   0.      ,   0.      ,   0.      ,   0.      ]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dni</span></div><div class='xr-var-dims'>(Time, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>368.9 468.3 703.1 ... 0.0 0.0 0.0</div><input id='attrs-410f0d90-09dd-4dcd-ab17-74406a78d83d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-410f0d90-09dd-4dcd-ab17-74406a78d83d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e455d556-a2db-49ce-90a2-f0133be14ece' class='xr-var-data-in' type='checkbox'><label for='data-e455d556-a2db-49ce-90a2-f0133be14ece' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>Shortwave surface downward direct normal irradiance</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-76.0, moad_cen_lat=41.499996185302734, truelat1=40.0, truelat2=43.0, pole_lat=90.0, pole_lon=0.0)</dd></dl></div><div class='xr-var-data'><pre>array([[[368.9072 , 468.34604, 703.14935, 346.27228, 547.50183],\n",
+       "        [625.33704, 427.74268, 535.3455 , 638.5536 , 319.05576],\n",
+       "        [458.42453, 539.7266 , 574.3772 , 533.2672 , 416.41873],\n",
+       "        [521.8633 , 418.17236, 438.9129 , 540.05316, 353.7556 ],\n",
+       "        [501.8598 , 498.77612, 541.54193, 458.5583 , 530.1924 ]],\n",
+       "\n",
+       "       [[  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ]],\n",
+       "\n",
+       "       [[  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ]],\n",
+       "\n",
+       "       [[  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ]],\n",
+       "\n",
+       "       [[  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ],\n",
+       "        [  0.     ,   0.     ,   0.     ,   0.     ,   0.     ]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dhi</span></div><div class='xr-var-dims'>(Time, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>45.53 35.79 14.69 ... 0.0 0.0 0.0</div><input id='attrs-fa49308d-fc87-4099-80fa-4fece423d582' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa49308d-fc87-4099-80fa-4fece423d582' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05961eb1-369d-4c63-b9b3-39b72e64d65f' class='xr-var-data-in' type='checkbox'><label for='data-05961eb1-369d-4c63-b9b3-39b72e64d65f' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>Shortwave surface downward diffuse irradiance</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-76.0, moad_cen_lat=41.499996185302734, truelat1=40.0, truelat2=43.0, pole_lat=90.0, pole_lon=0.0)</dd></dl></div><div class='xr-var-data'><pre>array([[[45.53097 , 35.791534, 14.689255, 41.64243 , 27.09407 ],\n",
+       "        [22.57898 , 35.40117 , 37.57325 , 18.463745, 50.056366],\n",
+       "        [35.085464, 33.355324, 26.450157, 31.115776, 40.731316],\n",
+       "        [31.690346, 45.145958, 37.320923, 30.54123 , 53.83112 ],\n",
+       "        [35.407555, 38.04277 , 30.894112, 42.037613, 31.969841]],\n",
+       "\n",
+       "       [[ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ]],\n",
+       "\n",
+       "       [[ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ]],\n",
+       "\n",
+       "       [[ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ]],\n",
+       "\n",
+       "       [[ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ],\n",
+       "        [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ]]],\n",
+       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ef18812-6ebc-4c6b-a1da-1160e5fe9413' class='xr-section-summary-in' type='checkbox'  ><label for='section-4ef18812-6ebc-4c6b-a1da-1160e5fe9413' class='xr-section-summary' >Attributes: <span>(139)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>TEMP at 2 M</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>coordinates :</span></dt><dd>XLONG XLAT XTIME</dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-76.0, moad_cen_lat=41.499996185302734, truelat1=40.0, truelat2=43.0, pole_lat=90.0, pole_lon=0.0)</dd><dt><span>TITLE :</span></dt><dd> OUTPUT FROM WRF V4.2.1 MODEL</dd><dt><span>START_DATE :</span></dt><dd>2020-06-30_00:00:00</dd><dt><span>SIMULATION_START_DATE :</span></dt><dd>2020-06-30_00:00:00</dd><dt><span>WEST-EAST_GRID_DIMENSION :</span></dt><dd>111</dd><dt><span>SOUTH-NORTH_GRID_DIMENSION :</span></dt><dd>83</dd><dt><span>BOTTOM-TOP_GRID_DIMENSION :</span></dt><dd>36</dd><dt><span>DX :</span></dt><dd>12000.0</dd><dt><span>DY :</span></dt><dd>12000.0</dd><dt><span>AERCU_OPT :</span></dt><dd>0</dd><dt><span>AERCU_FCT :</span></dt><dd>1.0</dd><dt><span>IDEAL_CASE :</span></dt><dd>0</dd><dt><span>DIFF_6TH_SLOPEOPT :</span></dt><dd>0</dd><dt><span>AUTO_LEVELS_OPT :</span></dt><dd>2</dd><dt><span>DIFF_6TH_THRESH :</span></dt><dd>0.1</dd><dt><span>DZBOT :</span></dt><dd>50.0</dd><dt><span>DZSTRETCH_S :</span></dt><dd>1.3</dd><dt><span>DZSTRETCH_U :</span></dt><dd>1.1</dd><dt><span>SKEBS_ON :</span></dt><dd>0</dd><dt><span>SPEC_BDY_FINAL_MU :</span></dt><dd>1</dd><dt><span>USE_Q_DIABATIC :</span></dt><dd>0</dd><dt><span>GRIDTYPE :</span></dt><dd>C</dd><dt><span>DIFF_OPT :</span></dt><dd>1</dd><dt><span>KM_OPT :</span></dt><dd>4</dd><dt><span>DAMP_OPT :</span></dt><dd>0</dd><dt><span>DAMPCOEF :</span></dt><dd>0.2</dd><dt><span>KHDIF :</span></dt><dd>0.0</dd><dt><span>KVDIF :</span></dt><dd>0.0</dd><dt><span>MP_PHYSICS :</span></dt><dd>28</dd><dt><span>RA_LW_PHYSICS :</span></dt><dd>4</dd><dt><span>RA_SW_PHYSICS :</span></dt><dd>4</dd><dt><span>SF_SFCLAY_PHYSICS :</span></dt><dd>1</dd><dt><span>SF_SURFACE_PHYSICS :</span></dt><dd>2</dd><dt><span>BL_PBL_PHYSICS :</span></dt><dd>5</dd><dt><span>CU_PHYSICS :</span></dt><dd>1</dd><dt><span>SF_LAKE_PHYSICS :</span></dt><dd>0</dd><dt><span>SURFACE_INPUT_SOURCE :</span></dt><dd>1</dd><dt><span>SST_UPDATE :</span></dt><dd>0</dd><dt><span>GRID_FDDA :</span></dt><dd>0</dd><dt><span>GFDDA_INTERVAL_M :</span></dt><dd>0</dd><dt><span>GFDDA_END_H :</span></dt><dd>0</dd><dt><span>GRID_SFDDA :</span></dt><dd>0</dd><dt><span>SGFDDA_INTERVAL_M :</span></dt><dd>0</dd><dt><span>SGFDDA_END_H :</span></dt><dd>0</dd><dt><span>HYPSOMETRIC_OPT :</span></dt><dd>2</dd><dt><span>USE_THETA_M :</span></dt><dd>1</dd><dt><span>GWD_OPT :</span></dt><dd>0</dd><dt><span>SF_URBAN_PHYSICS :</span></dt><dd>0</dd><dt><span>SF_SURFACE_MOSAIC :</span></dt><dd>0</dd><dt><span>SF_OCEAN_PHYSICS :</span></dt><dd>0</dd><dt><span>SHCU_PHYSICS :</span></dt><dd>0</dd><dt><span>MFSHCONV :</span></dt><dd>0</dd><dt><span>FEEDBACK :</span></dt><dd>1</dd><dt><span>SMOOTH_OPTION :</span></dt><dd>0</dd><dt><span>SWRAD_SCAT :</span></dt><dd>1.0</dd><dt><span>W_DAMPING :</span></dt><dd>0</dd><dt><span>DT :</span></dt><dd>45.0</dd><dt><span>RADT :</span></dt><dd>15.0</dd><dt><span>BLDT :</span></dt><dd>0.0</dd><dt><span>CUDT :</span></dt><dd>0.0</dd><dt><span>AER_OPT :</span></dt><dd>0</dd><dt><span>SWINT_OPT :</span></dt><dd>1</dd><dt><span>AER_TYPE :</span></dt><dd>1</dd><dt><span>AER_AOD550_OPT :</span></dt><dd>1</dd><dt><span>AER_ANGEXP_OPT :</span></dt><dd>1</dd><dt><span>AER_SSA_OPT :</span></dt><dd>1</dd><dt><span>AER_ASY_OPT :</span></dt><dd>1</dd><dt><span>AER_AOD550_VAL :</span></dt><dd>0.12</dd><dt><span>AER_ANGEXP_VAL :</span></dt><dd>1.3</dd><dt><span>AER_SSA_VAL :</span></dt><dd>0.85</dd><dt><span>AER_ASY_VAL :</span></dt><dd>0.9</dd><dt><span>MOIST_ADV_OPT :</span></dt><dd>1</dd><dt><span>SCALAR_ADV_OPT :</span></dt><dd>1</dd><dt><span>TKE_ADV_OPT :</span></dt><dd>1</dd><dt><span>DIFF_6TH_OPT :</span></dt><dd>0</dd><dt><span>DIFF_6TH_FACTOR :</span></dt><dd>0.12</dd><dt><span>OBS_NUDGE_OPT :</span></dt><dd>0</dd><dt><span>BUCKET_MM :</span></dt><dd>-1.0</dd><dt><span>BUCKET_J :</span></dt><dd>-1.0</dd><dt><span>PREC_ACC_DT :</span></dt><dd>0.0</dd><dt><span>ISFTCFLX :</span></dt><dd>0</dd><dt><span>ISHALLOW :</span></dt><dd>0</dd><dt><span>ISFFLX :</span></dt><dd>1</dd><dt><span>ICLOUD :</span></dt><dd>1</dd><dt><span>ICLOUD_CU :</span></dt><dd>0</dd><dt><span>TRACER_PBLMIX :</span></dt><dd>1</dd><dt><span>SCALAR_PBLMIX :</span></dt><dd>0</dd><dt><span>YSU_TOPDOWN_PBLMIX :</span></dt><dd>0</dd><dt><span>GRAV_SETTLING :</span></dt><dd>0</dd><dt><span>DFI_OPT :</span></dt><dd>0</dd><dt><span>NTASKS_X :</span></dt><dd>4</dd><dt><span>NTASKS_Y :</span></dt><dd>6</dd><dt><span>NTASKS_TOTAL :</span></dt><dd>24</dd><dt><span>SIMULATION_INITIALIZATION_TYPE :</span></dt><dd>REAL-DATA CASE</dd><dt><span>WEST-EAST_PATCH_START_UNSTAG :</span></dt><dd>1</dd><dt><span>WEST-EAST_PATCH_END_UNSTAG :</span></dt><dd>110</dd><dt><span>WEST-EAST_PATCH_START_STAG :</span></dt><dd>1</dd><dt><span>WEST-EAST_PATCH_END_STAG :</span></dt><dd>111</dd><dt><span>SOUTH-NORTH_PATCH_START_UNSTAG :</span></dt><dd>1</dd><dt><span>SOUTH-NORTH_PATCH_END_UNSTAG :</span></dt><dd>82</dd><dt><span>SOUTH-NORTH_PATCH_START_STAG :</span></dt><dd>1</dd><dt><span>SOUTH-NORTH_PATCH_END_STAG :</span></dt><dd>83</dd><dt><span>BOTTOM-TOP_PATCH_START_UNSTAG :</span></dt><dd>1</dd><dt><span>BOTTOM-TOP_PATCH_END_UNSTAG :</span></dt><dd>35</dd><dt><span>BOTTOM-TOP_PATCH_START_STAG :</span></dt><dd>1</dd><dt><span>BOTTOM-TOP_PATCH_END_STAG :</span></dt><dd>36</dd><dt><span>GRID_ID :</span></dt><dd>1</dd><dt><span>PARENT_ID :</span></dt><dd>1</dd><dt><span>I_PARENT_START :</span></dt><dd>1</dd><dt><span>J_PARENT_START :</span></dt><dd>1</dd><dt><span>PARENT_GRID_RATIO :</span></dt><dd>1</dd><dt><span>CEN_LAT :</span></dt><dd>41.499996</dd><dt><span>CEN_LON :</span></dt><dd>-76.0</dd><dt><span>TRUELAT1 :</span></dt><dd>40.0</dd><dt><span>TRUELAT2 :</span></dt><dd>43.0</dd><dt><span>MOAD_CEN_LAT :</span></dt><dd>41.499996</dd><dt><span>STAND_LON :</span></dt><dd>-76.0</dd><dt><span>POLE_LAT :</span></dt><dd>90.0</dd><dt><span>POLE_LON :</span></dt><dd>0.0</dd><dt><span>GMT :</span></dt><dd>0.0</dd><dt><span>JULYR :</span></dt><dd>2020</dd><dt><span>JULDAY :</span></dt><dd>182</dd><dt><span>MAP_PROJ :</span></dt><dd>1</dd><dt><span>MAP_PROJ_CHAR :</span></dt><dd>Lambert Conformal</dd><dt><span>MMINLU :</span></dt><dd>MODIFIED_IGBP_MODIS_NOAH</dd><dt><span>NUM_LAND_CAT :</span></dt><dd>21</dd><dt><span>ISWATER :</span></dt><dd>17</dd><dt><span>ISLAKE :</span></dt><dd>21</dd><dt><span>ISICE :</span></dt><dd>15</dd><dt><span>ISURBAN :</span></dt><dd>13</dd><dt><span>ISOILWATER :</span></dt><dd>14</dd><dt><span>HYBRID_OPT :</span></dt><dd>2</dd><dt><span>ETAC :</span></dt><dd>0.2</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:     (Time: 5, south_north: 5, west_east: 5)\n",
+       "Coordinates:\n",
+       "    XLONG       (south_north, west_east) float32 -83.34 -83.21 ... -82.98 -82.85\n",
+       "    XLAT        (south_north, west_east) float32 36.88 36.89 ... 37.34 37.35\n",
+       "  * Time        (Time) datetime64[ns] 2020-07-01 ... 2020-07-01T04:00:00\n",
+       "Dimensions without coordinates: south_north, west_east\n",
+       "Data variables:\n",
+       "    temp_air    (Time, south_north, west_east) float32 22.57 22.05 ... 19.43\n",
+       "    wind_speed  (Time, south_north, west_east) float32 0.4817 0.5221 ... 2.358\n",
+       "    ghi         (Time, south_north, west_east) float32 113.8 121.6 ... 0.0 0.0\n",
+       "    dni         (Time, south_north, west_east) float32 368.9 468.3 ... 0.0 0.0\n",
+       "    dhi         (Time, south_north, west_east) float32 45.53 35.79 ... 0.0 0.0\n",
+       "Attributes: (12/139)\n",
+       "    FieldType:                       104\n",
+       "    MemoryOrder:                     XY \n",
+       "    description:                     TEMP at 2 M\n",
+       "    units:                           K\n",
+       "    stagger:                         \n",
+       "    coordinates:                     XLONG XLAT XTIME\n",
+       "    ...                              ...\n",
+       "    ISLAKE:                          21\n",
+       "    ISICE:                           15\n",
+       "    ISURBAN:                         13\n",
+       "    ISOILWATER:                      14\n",
+       "    HYBRID_OPT:                      2\n",
+       "    ETAC:                            0.2"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 23
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "source": [
+    "# Visualize the wind speed data across the entire WRF domina for a single time step\n",
+    "forecast_data.wind_speed.isel(Time=8).plot()\n",
+    "plt.show()"
+   ],
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     }
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Extract meteorological data for a specific location"
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "source": [
+    "# Get location data from NY-Sun Database\n",
+    "location = Location(latitude=40.7484, longitude=-73.9967)\n",
+    "location"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "Location: \n",
+       "  name: None\n",
+       "  latitude: 40.7484\n",
+       "  longitude: -73.9967\n",
+       "  altitude: 0\n",
+       "  tz: UTC"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 25
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "source": [
+    "# Extract data for this location from the processed WRF data\n",
+    "# Here is a way of doing it that works well for multiple points \n",
+    "# (i.e., you create a Kdtree_ll_to_xy class and query it when you need a pair of indicies)\n",
+    "ns = util.Kdtree_ll_to_xy(forecast_data,'XLAT','XLONG')\n",
+    "iy,ix = ns.query(location.latitude, location.longitude)\n",
+    "forecast_data.wind_speed.isel(west_east=ix, south_north=iy).plot()"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7fd1619855b0>]"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 26
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     }
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "source": [
+    "# Create a new Dataset containing only data for this location\n",
+    "location_forecast = forecast_data.isel(west_east=ix, south_north=iy)"
+   ],
+   "outputs": [],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "source": [
+    "# Convert it to a pandas.DataFrame (required for PVLib)\n",
+    "location_forecast = location_forecast[['dni', 'dhi', 'ghi', 'temp_air', 'wind_speed']].to_dataframe()"
+   ],
+   "outputs": [],
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Module-Specific Power Calculation"
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "source": [
+    "# Specify a module/inverter pair for the PVSystem\n",
+    "sandia_modules = retrieve_sam('SandiaMod')\n",
+    "sapm_inverters = retrieve_sam('cecinverter')\n",
+    "module = sandia_modules['Canadian_Solar_CS5P_220M___2009_']\n",
+    "inverter = sapm_inverters['ABB__MICRO_0_25_I_OUTD_US_208__208V_']"
+   ],
+   "outputs": [],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "source": [
+    "# Specify the PVSystem (i.e., what the system looks like that we are calculating the power for)\n",
+    "# Perhaps we can pull this information from the NY-Sun Database at some point as well, \n",
+    "# but it would certainly take a long time to process each time, \n",
+    "# so I would probably need to save it to a local database.\n",
+    "temperature_model_parameters = (pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_polymer'])\n",
+    "system = PVSystem(module_parameters=module,\n",
+    "                  inverter_parameters=inverter,\n",
+    "                  temperature_model_parameters=temperature_model_parameters, \n",
+    "                  surface_tilt=location.latitude)\n",
+    "system"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "PVSystem:\n",
+       "  name: None\n",
+       "  Array:\n",
+       "    name: None\n",
+       "    mount: FixedMount(surface_tilt=40.7484, surface_azimuth=180, racking_model=None, module_height=None)\n",
+       "    module: None\n",
+       "    albedo: 0.25\n",
+       "    module_type: None\n",
+       "    temperature_model_parameters: {'a': -3.56, 'b': -0.075, 'deltaT': 3}\n",
+       "    strings: 1\n",
+       "    modules_per_string: 1\n",
+       "  inverter: None"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 30
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "source": [
+    "# use a ModelChain object to calculate modeling intermediates\n",
+    "mc = ModelChain(system, location)"
+   ],
+   "outputs": [],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "source": [
+    "# extract relevant data for model chain\n",
+    "mc.run_model(location_forecast)"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "ModelChain: \n",
+       "  name: None\n",
+       "  clearsky_model: ineichen\n",
+       "  transposition_model: haydavies\n",
+       "  solar_position_method: nrel_numpy\n",
+       "  airmass_model: kastenyoung1989\n",
+       "  dc_model: sapm\n",
+       "  ac_model: sandia_inverter\n",
+       "  aoi_model: sapm_aoi_loss\n",
+       "  spectral_model: sapm_spectral_loss\n",
+       "  temperature_model: sapm_temp\n",
+       "  losses_model: no_extra_losses"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 32
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "source": [
+    "# This plot shows the irradiance (I assume the y-axis units are W/m^2, but I'm not sure).\n",
+    "mc.results.total_irrad.plot()\n",
+    "plt.show()"
+   ],
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     }
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "source": [
+    "# This plot shows the results of the DC model (I assume the y-axis units are W, but I'm not sure).\n",
+    "mc.results.dc.plot()\n",
+    "plt.show()"
+   ],
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "image/png": 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Ky09nHVBcWEVadny0wxFIUugVmVtBRFpdRQsHt1ZQ8IkxuBKGfqeuhFQnGaMTOFZYzQXLx0Y7HIFUHwkRU7avLsZiNSi44tz+MENVXn4GZYfraWv2RjsUgSQFIWJGc52b/VsqmLE0d1gN/TA2Px1tao7vkbGQYoEkBSFixLGiarSpmbak86bPQ9WIsUm4Em0UywB5MUGSghAx4tjuahJSHaTlDK8brspQjJ2ZzvHd1Zh+M9rhDHuSFISIAX6fyYm9NYyZkT4s2+vn5WfgbvFRfqQh2qEMe90mBaXU40qpU0qpog7rfq2U2qeU2qWUelkplRJcn6eUalVK7Qg+Ho1g7EIMGeWH6/G2+QMT0AxDo6elYViUzN0cA3rSJPUJ4H+BJzusexe4T2vtU0rdD9wHtA9lelhrXRDOIMt/8Qvce8M7n4Jj2lRG/uAHXW7T0/kU1q5dy09+8hNGjBjBjh07uO6668jPz+fBBx+ktbWVV155hQkTJnDnnXfidDrZvXs3FRUVPPDAA1x11VVh/bnE4HSsqBrDohg1NTXaoUSF3WUlZ1IKxYXVLL5uYrTDGda6LSlordcDNWete0dr7Qu+3ASMikBsUXfzzTfz3HPPhV7/7W9/44Ybbuh02507d/Lggw9SWFjIU089xYEDB9iyZQtf/OIXeeihh0LbFRcXs27dOt544w3uuece2traIv5ziNh3bHc12ROTh9xoqL2Rl59BbVkz9ZWt0Q5lWAvHf+Dngec6vB6nlPoYaAB+qLV+v7MPKaXuBu4GOp2joKPurugjpafzKQDMmzcvNGDehAkTWL58ORDo8LZmzZrQdjfeeCOGYTBp0iTGjx/Pvn37KCgoiPjPImJXY00bNaXNw/4KOW9WOhueP8ixoipmDdGRYQeDfiUFpdS/Az7gr8FVZcAYrXW1UupC4BWl1Ayt9Tl3j7TWjwGPQWBAvP7EEUk9mU8BAsNdtDMMI/TaMAx8Pl/ovbNvIg7Hm4riTMd3B5pijpk5vEcKTc6MI3VkHMWF1ZIUoqjPrY+UUncAVwGf0cGhVrXWbq11dXB5O3AYmByOQKOlJ/Mp9Mbzzz+PaZocPnyYI0eOMGXKlDBEKQazY0XVJKQ5ZOwfAtN0lhyoxdPm635jERF9SgpKqZUEbixfrbVu6bA+UyllCS6PByYBR8IRaLT0ZD6F3pgyZQoXX3wxq1at4tFHH8XpdIYhSjFY+X0mJ/fVMnaYNkU9W15+OqZPc3JvbbRDGba6rT5SSj0DXAJkKKVOAj8h0NrIAbwb/EfepLW+B1gG/KdSygf4gXu01oN+urHCwsIu37/kkku45JJLQq/Xrl173veWLFnCb3/72zBHKAarskN1eN3Dtynq2UZOSMYRZ6W4sIrxczKjHc6w1G1S0Frf0snqP55n2xeBF/sblBDDxbGiagyrInfK8GyKejaLxWDM9DSKg0N+KENKTwNt+LZ/64P+zqfwxBNPRCAqMZgd211DzsSUYd0U9Wxj8zM4uO0Up443MiIvKdrhDDvyn9gLMp+CCKeG6lZqy5qZPswGwOtO4P5KYOIdSQoDT8Y+EiJKju8O3G4bM0PuJ3TkTLAxckIyxwpl1NRokKQgRJQcK6omMd1J6si4aIcSc/LyM6g83khTrTvaoQw7khSEiAK/1+TkfmmKej5j8wOlp2NFMkDeQJOkIEQUlB6qwydNUc8rLTuexHQnxVKFNOAkKQgRBdIUtWtKKfLyMzi5twafxx/tcIYVSQpCRMHx3dXkTk7F5rBEO5SYlZefji9YzSYGzqBokvr+3w5QdaIprPvMGJ3A0hu7HpapuLiYlStXsmDBAj7++GMmT57Mk08+SVzcuTcG8/LyuPXWW1mzZg1er5fHHnuM++67j0OHDvFv//Zv3HPPPaxdu5Yf//jHpKens3//fpYtW8YjjzyCYUhuHk4aqlqpLW9hxtLcaIcS03Imp2B1WDhWWE1efka0wxk25GzUjf3793P33Xeza9cukpKSeOSRR8677ejRo9m4cSNLly7lzjvv5IUXXmDTpk38+Mc/Dm2zZcsWfvOb31BYWMjhw4d56aWXBuLHEDHkWFFwVNQZw3tU1O5YbRZGT02luLCK4JibYgAMipJCd1f0kTR69GiWLFkCwG233cb//M//8N3vfrfTba+++mog0MmtqamJxMREEhMTcTqd1NXVATB//nzGjx8PwC233MKGDRvCMvqqGDyO764mKcNJyghpitqdvFkZHN1ZRXVJMxmjEqIdzrAgJYVu9Gb+g45zKJw9v0L7nAoyn8Lw5vP6ZVTUXmhvnSVzNw8cSQrdOH78OBs3bgTgmWee4aKLLurX/rZs2cLRo0cxTZPnnnuu3/sTg0vpwTp8XpMx0hS1R+KTHWSNTeSYJIUBI0mhG9OmTePPf/4zs2bNoqamhi9/+cv92t+iRYu49957mTlzJuPGjePaa68NU6RiMDhWVI3FakhT1F4Ym59B+dEG2pq90Q5lWBgU9xSiyTAMHn300W63Ky4uDi3feeed3HnnnZ2+FxcXx3PPdZzSWgwnx3fXkDslBZtdmqL21Ii8JNBQW9ZM9sSUaIcz5ElJQYgBUl/ZQl1FiwyA10vJmS4A6qtaoxzJ8CAlhS7k5eVRVFR0xrprr72Wo0ePnrHu/vvvZ8WKFd3u7+xZ2MTwcqwoMCrqWEkKvZKY7kQpqK+UpDAQJCn00ssvvxztEMQgdXx3NcmZLmmK2ksWq0FCmpP6U5IUBoJUHwkxAHwePyf310qroz5KznTRINVHA0KSghADoORgHX6vKaOi9lFSpkuqjwZIt0lBKfW4UuqUUqqow7o0pdS7SqmDwefUDu/dp5Q6pJTar5TqvqJdiGHgeFE1FptB7qSUaIcyKCVnumhr8uJu9UU7lCGvJyWFJ4CVZ627F3hPaz0JeC/4GqXUdOBmYEbwM48opaTtnRj2jhVVM2pKKlZpiton7S2QGqS0EHHdJgWt9Xqg5qzV1wB/Di7/GfhUh/XPaq3dWuujwCFgfnhCHXiLFy+OdghiCKiraKG+slWaovZDqFmqJIWI6+s9hRFa6zKA4HNWcH0ucKLDdieD686hlLpbKbVNKbWtsrKyj2FE1ocffhjtEMQQcGx3YFRUuZ/Qd0kZ7UmhJcqRDH3hbpLa2QhfnY55q7V+DHgMYO7cuV2Oi7vmicc4dexI/6PrIGvseC698+4ut0lISKCpqfN5HF5++WUefvhh3n33XcrLy7n44otZv349I0eODGucYvA7vrualBFxoatd0Xt2pxVXkl1KCgOgryWFCqVUNkDw+VRw/UlgdIftRgGlfQ8vdl177bWMHDmShx9+mLvuuov/+I//kIQgzuH1+CnZXydzJ4RBcoZL7ikMgL6WFF4D7gB+GXx+tcP6p5VSDwA5wCRgS3+D7O6KPloeeughZs6cycKFC7nllluiHY6IQSX7a/H7pClqOCRnuSiRqTkjridNUp8BNgJTlFInlVJfIJAMrlBKHQSuCL5Ga70b+BuwB3gL+KrWesjOul1SUoJhGFRUVGCaZrTDETHo+O4arHaDHGmK2m/JmS6a6tz4vEP2lBITetL66BatdbbW2qa1HqW1/qPWulprfbnWelLwuabD9j/XWk/QWk/RWq+ObPjR4/P5+NznPsfTTz/NtGnTeOCBB6IdkogxWmuOFVUFmqLapClqfyVluEBDQ1VbtEMZ0mTsoz76xS9+wdKlS1m6dCkFBQXMmzePT37yk0ybNi3aoYkYUX+qlYaqNgo+MSbaoQwJyVmnm6WmZcdHOZqhS5JCF87X8gjgxz/+cWg5MTGRffv2DURIYhA5ViRNUcNJOrANDBn7SIgIOba7mtSRcaE29qJ/nPE27E6LNEuNMCkpdKOwsJDbb7/9jHUOh4PNmzdHKSIxGHjdfkoP1DHz4k77boo+UEqRnBUnHdgiTJJCN/Lz89mxY0e0wxCDjDRFjYykDBdVJxujHcaQJtVHQkTAsd3VWB0WcmRO4bBKznTRWN2G6Zcm4JEiSUGIMAs0RQ2MimqxyVcsnJKzXJh+TVOtO9qhDFnyHytEmNVXttJY3cZYGdoi7JIzZLTUSJOkIESYlR6sAyBncmrXG4peS5IhtCNOkkIXZD4F0RelB+twJdpIHRkX7VCGnIQUBxarIUkhgiQpdEHmUxB9UXqgjpyJKSjV2Ujyoj+UoUjKcEoHtggaFE1S6/5+GE9pc1j3ac+JJ+VfJnS5TV/mU3j66acpKiri8ccfp7CwkFtuuYUtW7YQFydXjcNBQ3UrjTVtFFwxuvuNRZ8kZ7qkpBBBUlLoo/PNp/Ctb32LQ4cO8fLLL/O5z32O3//+95IQhpGy9vsJMipqxCRnxlFf1YrWXc7NJfpoUJQUuruij5bO5lMwDIMnnniCWbNm8aUvfYklS5ZEOUoxkEoO1uGIs5KekxDtUIaspEwXPreflgYP8cmOaIcz5EhJoR/ON5/CwYMHSUhIoLR0SE46J7pQerCO7IkpKEPuJ0SKDIwXWZIU+uh88ynU19fzzW9+k/Xr11NdXc0LL7wQ5UjFQGmud1N/qlWqjiIsWZqlRtSgqD6KReebT+HXv/41X/nKV5g8eTJ//OMfufTSS1m2bBlZWVnRDllEWOmBOgByJ6dENY6hLjHdiVKSFCJFkkIX+jKfwuOPPx5aP3r0aA4dOhS5AEVMKT1Yh81pIWOU3E+IJIvVICHNKUkhQqT6SIgwKTlYR/aEZAyLfK0iTZqlRo6UFLoh8ymInmht9FBb1syUBSOiHcqwkJzp4vBHldEOY0jqc1JQSk0BnuuwajzwYyAFuAto/4v9QGv9Zl+OobWOeq/QgZ5PQdpeD06lh+oAyJkk4x0NhKRMF23NXtwtXhxxtmiHM6T0uZyrtd6vtS7QWhcAFwItwMvBt3/b/l5fE4LT6aS6unpYnSS11lRXV+N0OqMdiuil0gN1WG0GWWMTox3KsJCSGegQKlVI4Reu6qPLgcNa62PhurIfNWoUJ0+epLJyeBURnU4no0aNinYYopdKD9UxYnwyFqvcTxgIHUdLzRqbFOVohpZwJYWbgWc6vP6aUuqzwDbgO1rr2rM/oJS6G7gbYMyYMefs0GazMW7cuDCFJ0TktDV7qTrZxPyr5P91oCRlBErTDVVSUgi3fl/WKKXswNXA88FVvwMmAAVAGfCbzj6ntX5Maz1Xaz03MzOzv2EIETXlh+tBy3hHA8nutBKXZKf+lCSFcAtHWXcV8JHWugJAa12htfZrrU3gD8D8MBxDiJhVcrAOw6oYkSfVGANJmqVGRjiSwi10qDpSSmV3eO9aoCgMxxAiZpUerGNEXhJWuyXaoQwrSZkuqT6KgH4lBaVUHHAF8FKH1b9SShUqpXYBlwLf7s8xhIhlnjYflccbpeooCpIzXTTVuvF5/NEOZUjp141mrXULkH7WutvPs7kQQ0754Xq0qcmV/gkDLjRaalUbaTnxUY5m6JD2c0L0Q+nBOgxDMXJCcrRDGXZCzVKlCimsJCkI0Q+lB+vIHJuIzSH3EwZaqAPbqZYoRzK0SFIQoo98Hj8VxQ1yPyFKHPFW7C6rTLYTZpIUhOij8qMNmH4tSSFKlFKBZqlSfRRWkhSE6KPSA7UoBdkTU6IdyrCVnOmSDmxhJklBiD4qPVRHxuhEHC4ZgT5akjJdNFa3YfrN7jcWPSJJQYg+8HtNyo80kCOlhKhKznRhmpqmWne0QxkyJCkI0QenjjXg95rkyHzMUdXeV0GqkMJHkoIQfVBysA6A7InSPyGakqWvQthJUhCiD0oP1pGWE48rwR7tUIa1+GQHFqshA+OFkSQFIXrJ9JuUHa4nV5qiRp0yFEmZLunAFkaSFITopcrjTfjcfrIlKcSEZBktNawkKQjRS6XB+wnSaS02JGcE5lUYTvO5R5IkBSF6qfRgLSkj4ohPdkQ7FAEkZ7nweUxaGjzRDmVIkKQgRC+Ypqb0UL2UEmJIaLRUudkcFpIUhOiF6pImPK0+SQoxJDkjOK+CJIWwkKQgRC+UHqgD5H5CLElMd6IMJSWFMJGkIEQvlB6qIynDSWKaM9qhiCCL1SAxzSFJIUxkJC8hekhrTenBOvJmpodeN3gaqG6tprqtOvRc1VpFbVstHr8Hv/ZjahO/9qO1PuO1qc3Qo+Nrq2HFbtixWWyBZ8OGzWLDZtiwW+xnvtdhfbwtngRbAon2RBJsCSTYE0i0JZJgT8BqDOxX3dQmjZ5GatpqqG2rpbatlhp3DfXuetx+N26/G4/fQ5uvDY/fE3rd/t4Z2/jbMJTB1LSpzMqYxazMWczMmEm87fQUnEnBFkii/yQpCHEerb5WNpVuoqSphKrWKurKW8lsWsCrrc/yX89/SHVbNT7Td87nLMpCqjMVh8WBoQwsyoKhjNCj/fXZ6+2GHaUUPtNHi68Fj9uD1/TiNb14/J4znr1+Lz597rHPx2V1nZMo2l/bjEBisRrW0w9lxWJYTq9X1jPeN5RBnbsucLIPnvjr3HVnLPu1/7zx2A07DqsDhyXwsFvsOC1O7BY7DouDeFv86fVWJ26/m91Vu1l7Yi0ACsWElAnMypxFfkY+tuTR1J/o26B4Ld4WSptKKW0upaSphNKmUurd9STZk0h2JIceKY6UwLI98NpldaGU6tMxY1m/koJSqhhoBPyAT2s9VymVBjwH5AHFwI1a69r+hSnEwGjztfFByQe8Xfw2a0+updUXuPq0KisXVn2CTEBnN7MgYwEZrgzSnemku4IPZzoZrgySHckYKvI1s6Y2Q4nC7XfT4m2h0dtIk6eJJk9TaDm0zttEoye4ztNIaVMpzd5mvKYXn+k7/ehFsgFIsieR5kwj1ZnKmMQxzM6cTaozlVRHKqnO1NB7ac40kh3JoWTZF/XueoqqithVtYtdlbt47/h7vHTwJWaXX8qi5k9x19+/xIycaeRn5jMrYxaZcZk0e5tDJ/vQo0MCqHPXnXGMeDORPPc0jiS+Ffr7d8Zm2E4nimCyyIzLJD8jn1mZsxibNHZA/g/CTfWnw0cwKczVWld1WPcroEZr/Uul1L1Aqtb6+13tZ+7cuXrbtm19jkOI/vD4PYFEcOxt1hxfQ4uvhRRHCp8Y+wmWj13O1LSpJDuSefePeyg7VM8d/7V4SF4httNa49Onk4Tf9IdetycQrTVJjsCVtM2wRTXWE40n2PhBEVWvOvn4opfYbn4QSmxx1jhafGcOgeGwOMhJyCEnIYfc+NzAc0JuaF3hi5Xs2VDGJZ+ZwsTFGdS766l311PnrqPB3UCdu456z+nX7e/Ve+pDiRYg0Z4Yqu5qL9EkO8I7gKJSarvWem449xmJ6qNrgEuCy38G1gJdJgUhBprX72Vj2UbeLn6bfx7/J03eJpLsSawct5IVeSuYN3LeGSe79vsJuZNTh3RCgMA0lzZli+rJvqeUUoxJGkP8rDSefXUL35/6I8bMSWFv9V52Ve6ipKmEEfEjzkgAac608/4NPW0+Dm7djWFVrH/mAClZceROySIrLqtH8fhNP0frj1JYVcjOyp3sqtrF73f9HlMHJgHKS8oLJImMWeRn5jMpdVLM/Z77mxQ08I5SSgO/11o/BozQWpcBaK3LlFKd/jaVUncDdwOMGTOmn2EI0T2v6WVL2RbeKn6L946/R6OnkURbIpePuZyV41ayIHvBeb+g9adaaan3SFPUGJWUcboDm8MygoKsAgqyCnq9n0PbT+F1+7nqa7P54IWDrH6skBvunUtyZlyPPm8xLExMncjE1IlcO+laAJq9zeyu2h2q8vqg5ANeO/waAE6Lk+np01mUs4hbp91Kkj2p1zGHW3+TwhKtdWnwxP+uUmpfTz8YTCCPQaD6qJ9xCNGpFm8LG8s2sv7kev55/J/UuetIsCVw6ehLWTluJYuyF2GzdH+lVnqoDoBcmVQnJtkcFuKS7P3uwLZnQymp2fGMmZFGctYsXrh/G288vItPf39un6ddjbfFMz97PvOz5wPBUmdzKYWVwdJE5S4e3vEwf9n7F+7Kv4ubp96MwxK9IVT6lRS01qXB51NKqZeB+UCFUio7WErIBk6FIU4heuxEwwnWl6xn/cn1bC3fitf0kmBLYNmoZazMW8ni3MW9/tKVHqjDlWgjZUTPrhjFwEvO6l+z1OqSJiqONrDk+okopUjJimPl3fn8/cEdvPN/u/nkV2dhGP2vOlRKkZuQS25CLivHrQRgb/VeHvzoQf5723/z171/5asFX+Wq8VdhMSz9Pl5v9TkpKKXiAUNr3RhcXg78J/AacAfwy+Dzq+EIVIjz8ZpedpzawboT61hfsp6j9UcBGJc8jlun3sqyUcuYM2JOv+puSw7WkjMpZcjfTxjMkjNcnNjX94aOez4oxbAqpiwcGVo3akoqS2+ezLqn9/Phi4e46IZJ4Qj1HNPSp/HoFY+yqWwTv93+W374wQ95YvcTfPvCb7M0d+mA/t/1p6QwAng5GKwVeFpr/ZZSaivwN6XUF4DjwA39D1OIM9W01bChZAPrTqxjY+lGGr2N2Awbc0fM5aYpN7Esdxmjk0aH5VgN1a001biZc0VqWPYnIiMp00XzpnJ8Hj9We++usH1eP/s3lzO+IPOc2fRmLsulpqyZne+dIC0nnulLcsIZ9hkWZi/kmU8+wzvH3uGhjx7iq+99lQuyLuDbF367T/dI+qLPSUFrfQSY3cn6auDy/gQlxPm8fuR1ntn7DIVVhWg0ma5Mrsi7gmWjlrEoexFxtvBX78j8CYNDctbp+ZrTcxJ69dkjOypxN/uYflHnJ/yLrp9IXUUL657eT0qWi5xJkbtAMJTByryVXD7mcl468BK/2/k7bl99O5ePuZxvXPANxiePj9ixIUZ6NO+v2U+rrxWX1RXtUEQMa/Y286MNP2J00mi+XPBlLh51MVPTpka8g1DpwToc8VbSc+I7fV97PPgbG/HXN2A2NuBvaMRsagSrFcMVhxHnwnAFHsoVhxEfF1i2DHx98WChtcZsaMBXVYWvsgqzrRXnlClYR448b1VKckbggqChsvdJYc+GUpIynIya3PnJ3rAYrPjiDF64fzurHy3i+nvnkpwZ2fOVzbBx09Sb+JcJ/8JTe57iT7v/xJpX13DtxGv58uwvMyJ+RESOGxNJwad9fFTxEUtyl0Q7FBHDtpZvxad9/HDBD0MtOSJJezzU//3vnNgSR5qlidLvfQ9/YwNmQ2Pgub4Bf2Mjuq2tT/tXdnsgOcTFhZKGEReHkZiIJTERIzkJS2ISlqREjKTkwHNiIpbk5MD7SUkY8fGD6j6Hv6kZf1Vl4GRfVR18rsRfXY2vsgpfdWCdv6oK7fWe83lLZgaumfm4ZuXjnJmPK38mlpQUgNBJurc3m+vKmyjZX8ecfKh5/I+4Dx7CV1UV+D2npgYfKVhSUrhsUTKvr/bxxv98xHXfLcCZ3PmFQjjF2eL40uwvccOUG/jDrj/w7P5nef3I69w27baIHC8mkoJCsbF0oyQF0aWNpRtxWpwRr1vVWtO0di2nfnk/jWV1NC3+BTnF79HqLgyejBNxZE0MnqSTTp+sQyfuJIyEePD7MVtbMVtaMVtb0C0tZ75uX25f39qC2dKCt6SEtmDyMZuaug7WMEIJwpqWhiUjI/icjjU9A2tGOpa0NKwZGVjT0zGSkiKaRPxNTXhLSgKPk8Hn0hI8JSV4S0ox6+vP/ZDFcjr2jAwcEyZgzQwsW9IDz8puo23PXtoKd9FaWETTmjWhj9vGjME1cyaO/Hzs9jHUlTV2Gps2TbylpbgPHcJz6BDug4dwHz7Mbs8UVPbFxP3+R5zy1GPNysI6YgTekyfx1dWdE/P0lMnsnP01XvniH5l9+ElsKaeThy03l8RPXE78woUoW3g7paU50/j+/O/zmWmf4eEdD/N40eNh3X+7fg1zES6ZkzP10v9eyktXvxTtUEQMu+aVa8iOz+bRKx6N2DHchw9T8V+/pHnDBuzjxtFyy/dY/6HJDffNJWvswHcs0n4/ZmNjoHqqoQGzIVg9Faym8jfUB0ou9fX4a2sCV9/V1fhra8E0z92hzYY1LQ1renogcaSmoZxOlM3WycPa6XqCJztfWXm3J33lcmEflYstJxdbbi62nGysWVlY0tOxZmQGklZKSq+r0vyNjbTt3k1rYSFtuwppLSrCV1bG1gu/h83bwgL3uzjzZ2IfNQpP8THchw7hPnIE3XJ6yAtrZia2SZN4z3kD6Wma5deNwDFhApbkM4ei0D5f8Pdbi7+2Fl9tLfuK2th6IIFJSeXMVLvw1dXir63Dc/gwZnMzRnIyiZddRtLKFcQvWoSy28/+EfptX80+pqVPGxTDXPRavC2eg7UHqWqtIsOVEe1wRAwqby7nSP0Rrpt0XUT276+vp/Lhh6n969MYcXGMuO9eUm+9lXXPH8HmLCdjVO/qqMNFWSxYUlJCVSQ9pf1+/HV1+Kqq8ddUB5NFFf7qmkAVTXUV/qpq3IcOoT3eQFWNN/DcWbXNeeNzubDl5mDLzSWuoCBw4m9/jBoVOOFHoGRiSUwkfuFC4hcuDK3zVVZy+LFCqivcWFsyaXr3H/jr67FmZuKYNJGU6z+NY8JEHJMmhk7+R3ZU0vZoIbNvnEXcrM7PPcpqxZqejjU9PbRu/nJoe2Y/hetg9GcvYdriwA1q0+2m+YMPaXz7LRrffZf6l1/GSEwk8bLLSFy5gvglSzDClCCmpk0Ny37OFhNJIcEW+MJtLN3Iv0z4lyhHI2LR5rLNQKDJXjhpn4+655+n8sH/wd/QQMqNN5D5jW9gTUsDAjeZsyekYFgG12iXymI550TWU1pr8PlCCaKzB6aJdcQILGnnH0dooFkzM0mfMZYTJccZ9fvfowyFbmnBiD9/vf+eD0qJT7YzdkZar4930Y2TqK1oYe1f95OcGUfOpBQMh4PEyy4l8bJLMT0emj/8kMa33qbxn/+k/tVXMRISSLjsUpJWrgwkCEf0ei6fT0wkBafVSZwjTpKCOK+NZRtJc6YxKTV8nYeaN22m4he/wH3gAHHz5zPiB/fhnHr66quhqpXasmamLhrZxV6GHqUUtFcVDTLJmS5MU9NY4yY504XqIiE01bZxvKiaC1aO7VPSNywGK+6ayYu/2s7q3wfGSGofgwnAsNtJvOQSEi+5BO3x0LxpEw1vv03jP96j4bW/Y8THk3DppSSuWE7C0qUYztiYzS9mLn8WZi9kU9kmYuEeh4gtWms2lW5iQfaCsDQ/9Zw8ycmvf4Pjd96J2dxM7oMPMubPT5yREAAObKkAYOIFPRshU0RfewuknoyBtPfDMrSmX53RnPE2PvmVWWhT88Yju/C0dT4XhbLbSVi2jJyf/5zJG95n9P/9H0lXrqJ5wwZKvv4Njlz5SbynYmNEoJhJCotyFlHZWsmhukPRDkXEmIN1B6luq2ZR9qJ+7cdsbubUb/8fR678JE0bNpD5rW8y/o3XSVqx/JwqEK01+zeXkzMp5YyrPxHbTjdLbelyO21q9n5Qxqipqf3++6aMiGPFXTOpLW/h3cf3dHthq2w2Ei5aQvbPfsak99cz6pFH8NXWUvL1b2C6+zZ7XDjFVFIA+LD0wyhHImLNptJNwOn/kd7SWlP/979zeOUqqn//e5JWrWTCW6vJuOee8xbZTxU3UlfRcsY4OCL2xSc7sNiMbvsqnNhXQ2NN23l7MPfW6GlpLPzUeIp3VVGyv+fjLymbjcTLLiXn/l/SunMn5T/+SdRrS2ImKYyMH8m45HFsLNsY7VBEjNlYtpG8pDxGxvf+BO2rrubk175O6b99D+vIkeQ9+ww599+PbUTXvUH3by7HYjOYIFVHg4oyFEkZ3Y+WumdDKc54G+NnZ4bt2LMuHUVcsp1tbxb3+rNJy5eT8fWvUf/qq9Q8/qewxdQXMZMUABbnLGZ7+Xbc/ugXoURs8Pq9bK/Y3qdWR43/XMORq6+hef16sr7/ffKeexZXQUG3n/P7TQ5uq2DcrIw+j6Evoic5s+uk0NLg4ejOKqYsGonFFr5ToNVm4YLlYyk5UBeaf6M3Mr78ZRJXrODUf/83TevWhS2u3oqppLAoexFt/jZ2nNoR7VBEjNhRuYNWX2uvqo78Tc2U/ehHnPzKV7BmZpL34gukf+5OlNGzf/fju2toa/IyZYFUHQ1GyZkuGqpaz1sNs39TOaZfR2S00+lLc3Al2vpUWlCGQc5//QLH1KmUfOe7uA8fDnt8PRFTSWHuyLlYlZWNpVKFJAI2lW3CoizMGzmvR9u3fPQRRz/1KepeeJH0u+4i72/P4Zw8uVfH3L+pHFeijdF9aLsuoi8504XPY9LS4DnnPa01ez4oJXtCMmnZ4R+3yGa3UPCJMZzYU0P50U6G9OiGERfH6If/F+VwcOIrX8FfVxf2GLuNYcCP2IV4Wzyzs2bLzWYRsql0EzMzZpJoT+xyO+3xcOo3D3DsttsBGPuXp8j6zr/2uveou8VL8a4qJs4dgWWQdVgTAUntLZBOnVuFVHaonrqKFqZFcE6EmRfn4oi39qm0AGDLyWHUQw/hLS2j5F//Fe3rvJlrpMTcf/2i7EXsq9lHTVtNtEMRUdbgaaCouqjb+wltBw5w9Kabqf7DH0j59HWMe+UV4i68sE/HPPxRJX6fKVVHg1hXo6Xu+aAUu9PCxAsj14DA7rRScPlojhVWU3m888H5uhN3wRyyf/pTmj/cSMX9vwpzhF2LuaSwOGcxGh0a1kAMX1vLtmJq87z3E7RpUv2nJyi+/gZ8p04x6pGHyf7Zz7Ak9L1aYP/mclJGxJE1tuuSiYhdielOlKFoqDozKbhbvBzefopJ80dic0R2Lov8S0djd/W9tACQ8unrSLvjDmqfeora558PX3DdiLmkMD19Okn2JLmvINhYtpE4axyzMmed8563pITjd36OU/ffT/zSpYx/7VUSL7usX8drqGql9GAdUxacfyIXEfssFoPENAf1p87swHZgSwU+r8n0JdkRj8HhsjLr0lEc2VFJdUk3w593Ievfvkv8RRdR/p8/o2XbtjBGeH4xlxQshoUF2QvYWLYx6p04RHRtKtvE3JFzsRmnx+DRWlP3yiscueZTtBUVkf3z/49R//tQnwZ+O9uBLeUATJ4fmRmtxMA5u1lq+w3mjNEJAzYE+uzLR2NzWNi2urjP+1BWK7kP/AZ7bi4nv/4NPCdLwhfgecREUjh7IpFFOYsoby7naMPRKEUkoq20qZRjDcfOGdqi7N9/SNm99+GYOoVxr71Kyqc/HZar+sCwFhUyrMUQkZQZR32H6qPK441UnWiKSDPU83HG28i/JJdD209RW97c5/1YkpIY9cgjaJ+Pk1/9KmZz3/fVE31OCkqp0UqpNUqpvUqp3UqpbwbX/1QpVaKU2hF8XNndvjzHjuEpLg69bj8RSBXS8LWpLDC0RcebzK2FRdS/9BJpd3yWsX/+M/ZRo8J2PBnWYmhJznDhbvbR1hyYG2LPhlKsNmPAS4GzLx+D1WqwffWxfu3HMX4cub/9Le6DBym99150ZxMohUl/Sgo+4Dta62nAQuCrSqnpwfd+q7UuCD7e7H5Xipq//DX0alTiKEYnjpakMIxtKt1EpiuTCSkTQutq//IURlwcGV/7WtgnvZdhLYaW5KzgaKlVrXjdfg5srWDChVk44gZ2OPC4JDszluVyYGtFt4P0dSfhoiWM+P73aHz3H1T97/+GKcJz9TkpaK3LtNYfBZcbgb1Abl/2ZUlOpu6ll/A3NITWLc5ZzNbyrXjNns8CJYYGU5tsKtvEwuyFoaohX2Ul9W+uJvm667AkhrdlkAxrMfR0bJZ6aHsF3jZ/2Aa/6605y8dgGIrtb/WvtACQ+tnPkvzp66h65Hc0rF4dhujOFZZ7CkqpPGAO0N6O9GtKqV1KqceVUqnn+czdSqltSqltjRYD3dJC3Qsvht5flL2IFl8Luyp3hSNEMYjsr9lPrbv2jKaotc/9Dbxe0m77TNiPJ8NaDD3t94XqT7WyZ0MZqSPjyJ6Q3M2nIiM+2cH0Jdns31hOQ3X38zx0RSnFyJ/8BNecOZTe94MwRXimficFpVQC8CLwLa11A/A7YAJQAJQBv+nsc1rrx7TWc7XWc9Oys4mbN4/av/wl1HtvXvY8LMoivZuHofb7CQuyFwBgejzUPvss8Rcvw56XF/bjybAWQ4/NYSEu2U5xYRXlR+qZtiQnqs2M56wYCwo+fvt4v/dl2O2Meuh/sKR2er3d//3358NKKRuBhPBXrfVLAFrrCq21X2ttAn8A5vdkX2l3fBZvaSmN/3gPgCR7EjMzZobG0hfDx8bSjUxMmUhWXKB+v3H1avxVVaTd/tmwH0uGtRi6kjNdVBxtwLAopka5AUFimpOpi7PZ82EpTbX9HwXampHB6EceDkNk5+pP6yMF/BHYq7V+oMP6jj1DrgWKerK/hEsvxTZ6NDVPPhlatyhnEUXVRdS7ez+wlBic3H43H536KNTqSGtNzZNPYR8/nvgli8N+PBnWYuhKDlYhjZudiSuxd2NgRcKFK8aiTfj43f7fWwBwTpsWlv2crT+XRkuA24HLzmp++iulVKFSahdwKfDtnuxMWSyk3X4brR99RGthIRC42Wxqky3lW/oRphhMPj71MW6/O3Q/ofXjHbTt3k3a7bdFpPi/b1OZDGsxRLW3QJp+UeR7MPdEUoaLKQtGsPv90k5HcI0V/Wl9tEFrrbTWszo2P9Va3661zg+uv1prXdbTfSZfdx1GfDw1fw6UFmZmzCTeFi9NU4eRTaWbsCorF44IDGhX+5enMBITSb7mmrAfq6GqlbJD9TKsxRA1ecFIFl07gdFTY+de0YUr8zB9Jjve7f+9hUiJqUpUS0ICKdd/moa33sJbUYHNsDF/5Hy52TyMbCzbyKzMWcTb4vGWl9Pw9jukXH89Rlxc2I8lw1oMbUnpLi5YMRZlxE7CTxkRx8S5IyhcX0JrU2yWFmIqKQCk3n47mCa1Tz8DBO4rlDSVcKLhRJQjE5FW11bH3uq9oaqj2meeBa1J/Uz4m6HKsBYiWuauysPn8bPzvdg8p8VcUrCPGkXi5ZdR9+yzmK2tp4e8KJMqpKFuc/lmNJqF2Qsx29qoe+45Ei67FPuoPvWJ7JIMayGiJS0nnglzMilccxJ3S+x1zo25pACQ9tnP4q+vp/61vzM2aSw58TlShTQMbCrbRIItgZkZM2l4/XX8dXURaYYKMqyFiK65V+bhafOza83JaIdyjphMCq65c3FOnx5qnrooZxFbyrbgMwd2WjoxsDaWbmTeyECnxZqn/oJjyhTi5vdsbubekGEtRLRljEokb1YGO987gac1ts5rMZkUlFKk3fFZPIcP07zhAxbmLKTR20hRVY+6PIhB6ETjCUqaSliUs4iWLVtx798fsWaoMqyFiAXzPpmHu8VH4brYKi3EZFIASFq1CktmBjVPPsnCkQtRKLmvMIS1NztemL2Q2r88hSUlhaSrrorIsWRYCxELssYmMWZGGjv+cQKv2x/tcEJiNikou520W2+l+f33cZVUMz19ugx5MYRtKtvEyPiR5DTaaHzvn6TceCOG0xn248iwFiKWzL1yHG1NXorWR35GtZ6K6W9Fyk03oex2ap58isU5i9lZuZMmT9/nOxWxyW/62Vy2mYXZC6l7+hlQitRbb4nIsQ5tPyXDWoiYkT0hmdwpqWxfXUzlicZohwPEeFKwpqWRdPW/UP/qqyyKn4lf+9lavjXaYYkw21ezjwZPA4tTL6DuhRdIXH4FtpGROWnv31wuw1qImHLpbVOwOS28+tuPqTja0P0HIiymkwIEmqfqtjbGrNmPy+qSpqlDUPu9oplbqzEbGiLWDFWGtRCxKDkzjmu/cwGOOCuvPvgxpQfrohpPzCcF5+TJxC9eRMMzzzE/44LQWPti6NhUuokpKZPxPPcyzpkzcc0piMhxZFgLEauS0l1c+50LSUhx8PeHdnBib03UYon5pACBKeh8FRWsKk6huKGY0qbSaIckwqTV18pHpz7iqurReI4ciVgzVBnWQsS6hFQHn/rXC0jOjOONh3dRXFgVlTgGRVJIWBaYcWvC23tAaxk1dQj5uOJjvKaXOevKsGRkkLhqVUSOI8NaiMEgLsnOp/51Dum58az+XSGHtp8a8BgGRVJQhkHqZ29H7znIgqpU6a8whGws28ioOgv2zbtIvekmDHtkJkORYS3EYOGMt3H1t+YwYlwS7/xfEfs3lw/o8QdFUgBIueYajKQkrt/hYFPZJvxm7HT2EH23sXQjn9mdBjYbqTffFPb911W0sOGFg+z9sFSGtRCDhsNl5aqvzyZncir/eGIPezYMXJX5oPmGGPHxpN54A/7HH8c232BfzT5mZMyIdliiH6pbqzlevo/ZWy0kX7kKa2ZmWPbr95sU76yiaH0JJ/fVYhiK8XMyWfzpiWHZvxADwe60ctVXZ7H690Ws+cs+vB4/sy8bHfHjDpqkAJB6661U/+kJVm432XjpRkkKg9zmss1csktjbfWQetvt/d5fY00bezaUsueDUlrqPSSkOVhw9XimLckmPtkRhohji2lqGt0+6pvbqKtvpLGpmebmVlqaW2htaaW1tQ13ayvutjY87jZ8ba3425rRnlYIPpTPA9rssFcNWgcXNSq07qz3lULbnGhnAsqZiIpPwhGXiCshkbiEBBKTEkhKSiIlJYnU1CRSk+JJdtmxWwdN5URMsNotXHlPPu/8cTcb/nYQv9fkghVjI3vMiO49zGw5OSQuv4Ir1rzD74++zxfzvxjtkEQ/bCrZyCe3g3NOAa78mX3ahzY1x/fWULSuhGOFVWhg7Ix0Zn4mlzEz0zFiaNatzmitqW/xUnqqmrKySqqqqmmsb8DdWIu3qQ5/SwO6rQkdPJkrTxvK50X5veA3wTQ7nLDPzxJ8AFiUic3wY1N+rIaJAhSaYAZofwqso8M6pUPLWis8LRbctVbcfgtmsCbaHXzUdhqEAsOCabeDIx7ikjGSMrCnjSQxI5uMrAxGjMgkNyeTrOR4rDIMCQAWm8GKu2bwjyf2svHlw3g9fuZfNS5ifW0GVVIASL/jDhpXv0Xyex/RsqqFOFv4p2kUkae1pmHdGrJqTdJ/1PtSQmujh70flrH7/RIaqtpwJdqYs2IsMy7KiYkmpy1uH6UVNZSWV1BZUU5T+XHaqivwNlRhNtWh25rB7Ub7fJg+Tfs1uUJhUTYsyorDsGJRVuyGgdOicBoGTks8dpeB3TCwG1YsFhtWiwOrxY7FsGFY7FgMe/A58NowbFgMO0rZQFlBW9FYwDTQOnjiDZ3/zz3RBAoO565XhokyfCjlAzyYphu/343f34rP14bP34bf34bP58bnd+P3e/CYPlp8Ppq9Ppqq6mgqr8Zr7qJOe6jWPvYH920YoGwG2BwoZxxGYirxo6cweuZcZs+eRlZKQpj/YrHNsBh84nPTsdoMtr1RjN9jsui6CRE5VsSSglJqJfAggQuU/9Na//J827Y2ejixp4bkLBcJac4ur+5cBQX4po1nxZYjbC/bytIxF4c/eBFxxxqOsXBDDd70JBKvuKLb7f1+k6aaNmrLWziwpYLDH5/C9GlyJqWw8JoJjJ+TiWUAqiY8Pj8l5dWUHC+m5sQRmipO0FZTgbehBrOlGYtHY/HbMLQTm3JhM+zYDAdphgOb4cBu5OKy5OFw2XAk2LEaTqyGE4vhwsCJga3vwVkUyqLAYqAsCmU1Qq+xKLT19Hqjw3bnnO87XoF2LD10XK812q/RXhPt9aO9JsprYvGaGF4Tq/KjMdGmGTjL9OBMo/Fj4sav2/CbrfjMNjx+N21+Ly0NHpp3VFKz7Vne9NfjMRrxxynsmbmkTMxnwpzFzJg6AZvV0v2BBinDUFx621SsNoOP3z2OzxOZxjYRSQpKKQvwMHAFcBLYqpR6TWu9p7PtG2vcvPY/OwAwrIrkDBfJmS6Ss+JIyXKRnBl3RsLI/txdWL93H5tXP8/SL0lSGIw+2vIas4s19q98GmULnAjdLV7qK1tpqGqjoao1uBx4NNa40WbgctbutDBjaS4zl+aSlhPf5xhM06S2voHqslLqT5XSWFmBu7YOb0MDurkVs9WD4TExvGDxW7CYTgyc2I04bIaTHIsTu5GH3ZiKw+rEltL9qK7KBobDQLlsGE47ymXFcFowHFaU04LhsKDsFpTNCJzUbe0PC8qqAs9nvYc1+DoGq8q01uDXaJ8ZSCAeP6bbj27zYbaduazdwXVtPnTo2YvZ6sFs8aPPmrnSr320NDXQvK2Bhk3v8E9/PV7ViM/lg4wkUqZOJnd6AS0NtTRWVdBSU4W3rhF/Uwtmaxu4vSiPifJpDL+BoQ0MbcPQNhQWNCYoM5iszOBrjVYmWunQA0OhDQLPlsDfCIcd5XRgiXdii0/EnpRAXEoa8anpJKZmkJyaTmKCC8Po3YWMMhRLb56MxW5hx7vHw/eH6ngMrXtQIdnbnSq1CPip1npF8PV9AFrr/+ps+6kjx+jHbvsepjYwTUvo4TctgWKtUsF7XRrDYmIYfoymBjQe/I5+XFmJqFFeHzafBX9SMqa2YPotoINXrcF/SUOZGBY/hjJRhh/DMLEof7DKApRuvwGqQp9RKJRWZ1SHKEBphcIS+NJjx6ICD6thx6rsWI1AlU13TO3Hr9xoiw/lAGu8DWdKPLbkRFRSAka8A8NlDT2UI3jSd1pRDktMnrgHC7PVh6/Ojb+2DX+dG19VA+7SSlpPNaJbLdj0mVXJpjbxmm1YlBWrEZn+L73h13782off9AaetQ9TezHxobUvULIikIQ0ZiD5oDs8a0CjjcCyxxvHZf/vnu1a67nhjDNS1Ue5wIkOr08CCzpuoJS6G7gbIH/kFMZbZ/fuCNGvNhZRFvjiaHSwRYwm+KVBB65Q25eD603txY8XEy9+5cFntOK1aLCBsluwuOzYElw4kxNISE8hLj0dIzEJFe8MnOTjrIGrcxlMLyoMlxW7ywrZ7aXDHGBq6H3tNfHVu/FV1lO5ey91h0swmzxgMzAcVqxxduwJLpzJicSlpeJKTcGIT0Q5bYHSmd2CYTdQdkvgprgJmGagmswfLPGYZuDZr8EMVqH5TfCbaK8X3G14m5poqa+nraEZT1ML3pY2/G1eTI8X7TXBq8EPylQo08DQFgxsgQsaLCiMDg8LSgWWDWUJPRvKAhFqUBeppNDZt+aMIonW+jHgMYC5c+fq3J9fBNrE9PvRfj9+vx/TNDH9Pky/iek30dqH32eiTY3P56O+okI6sQ1iyVkjsdutGBYDwwhcRVssVgg+K4uBoQwsFktg2Qi8h6HkxCzOoWwGtgwXtgwXY6aNZEx/d2gBLBZULysjnECkB2bXWmN6/XB/+PcdqaRwEujYy2IU0GWXPGVRgAVL8EZRTwIbOWFcX+MTQohBSymFxR6Z03ekmmtsBSYppcYppezAzcBrETqWEEKIMIlIqtFa+5RSXwPeJlAIe1xrvTsSxxJCCBE+EeunoLV+E3gzUvsXQggRftKPXAghRIgkBSGEECGSFIQQQoRIUhBCCBESkWEueh2EUo0QGiAxliUD9dEOogckzvCSOMNnMMQIgyfOKVrrsPaVi5Whs/eHe/yOSFBKPaa1vjvacXRH4gwviTN8BkOMMKji3BbufUr1Ue/8PdoB9JDEGV4SZ/gMhhhh8MQZdrFSfbRtMJQUhBAilkTi3BkrJYXHoh2AEEIMQmE/d8ZESUEIIURsiJWSwoBTSq1USu1XSh1SSt0bXPczpdQupdQOpdQ7Sqmcnn42uD5NKfWuUupg8Dk1EnEG1389uH63UupXsRinUmq2UmqjUqpQKfV3pVRSNONUSj2ulDqllCrqsO7XSql9wb/7y0qplGjG2EWcP1VKlQT/N3copa6M0TgLlFKbgjFuU0rNj4E4Ryul1iil9ga/L98Mrr8h+NpUSp23CmYgY40JWuth9yAwSN9hYDxgB3YC04GkDtt8A3i0p58Nvvcr4N7g8r3A/RGK81LgH4AjuF1WjMa5Fbg4uM3ngZ9FOc5lwAVAUYd1ywFrcPn+zo4xkDF2EedPge/25e8wwHG+A6wKLl8JrI2BOLOBC4LLicCB4P/nNGAKsBaYGwu/01h4RKSkcJ6rxh5l1QHKyvOBQ1rrI1prD/AscI3WuqHDNvGcNTFQV58NvncN8Ofg8p+BT/Ujxq6O9WXgl1prN4DW+lSMxjkFWB/c5l3g09GMU2u9Hqg5a907Wmtf8OUmAnN/RC3G88XZQ7EQpwbaS4TJdD6PykDHWaa1/ii43AjsBXK11nu11t31jxqwWGPlvBn2pKCUsgAPA6sIZONblFLTCWTS97TWk4D3gq97+ll68vle6Gy60NxgDD9XSp0APgP8OLguRyn1ZnefBUZorcsg8I8IZPUjxq6ONRlYqpTarJRap5SaF6NxFgFXB9fdQHDipSjG2Z3PA6tjOMavBau5Hm//csdgnN8Cfh38Dv03cF8sxamUygPmAJu72GbAY42l82YkSgrny6w9yaoDlZXPO12o1vrftdajgb8CXwuuK9VaX9ndZyPgfMeyAqnAQuDfgL8ppVQMxvl54KtKqe0Eiu0eiOrv87yUUv8O+Aj83WMxxt8BE4ACoAz4DcRknF8Gvh38Dn0b+CPERpxKqQTgReBbZ9UKnBlIdGKNmfNmJJLC+TJrp1k1SlcQPZku9Gk6r+7o6rMVSqlsgOBzZ9U64YjzJPCSDthCYIrxjFiLU2u9T2u9XGt9IfAMgbrZHn02QnF2Sil1B3AV8BmtdWdf+KjHqLWu0Fr7tdYm8AcCJ4KYixO4A3gpuPx8rMSplLIRSAh/1Vq/1N32UYg1Zs6bkUgKvcqsUcrKnU4XqpSa1GGbq4F9Pf1s8L3XCHwpCD6/Gok4gVeAywCUUpMJ3ACrirU4lVLt/8AG8EPg0V78jJGI8xxKqZXA94GrtdYt59ksqjEG48zu8PJaAlVzMRcngRPmxcHly4CD0Y5TKaUIlFj2aq0f6OXHByrW2DlvhvvONbAIeLvD6/uCj/1Atj7dGmB/Tz8bXO72872M80oCrRAOA/8eXPcigS/bLgLd3HOD63OAN7v6bHB9OoF6u4PB57Qw/D47i9MO/CUY60fAZTEa5zeD6w4Av+R0v5ioxEmgtFIGeAlcTX0BOETgKmtH8PFoDPwuO4vzKaAw+L/5WofvQqzFeRGwnUArnc3AhTEQ50UETpK7OvydrySQXE8CbqCC4LknGrESQ+fNsHdeU0pZg7/Ay4ESApn2VuBOoFpr/cvg3fE0rfX3evJZrfVupdSvu/u8EEIMRjF13uxvFj5P1uvsqrHTrEoUryDkIQ95yCNWHrFy3pRhLoQQQoQM22EuhBBCnEuSghBCiJBI9GjurKt2TweeylMdBtfqYrtipdTZ7fKFEGLQOs+5s6cDNobt3BnWpNBFd+si4DpOj4MjhBAiqItz57vATK31LAI3ku+LdCzhLimcb6C5ngw8dQal1J1Kqf/t8Pp1pdQlYY1WCCFiw/nOnT0ZsPEM/T13hjspdNXdWgghROd6cu4MDdgYSeFOCrEwIJcQQgw2XZ47zx6wMZLCnRR6MtBciFLqTyowQ9ObnbztOys+Z3hCFEKImHPec2dnAzZG8txp7c3GPRAaPIpAd+ubCXTV7pTW+nNd7KsY+EpwMLVcOh9tUQghhoJOz50dBmy8WHcYsDGS586wJgWttU8p9TXgbQLT2D2uA+NvXAs8BGQCbyildmitV5wnHndw+QPgKIFBwNoHfhNCiCGni3Pnq4ADeDcw2CubtNb3dLKLsJ07Y2qYC6XUNQSKSDdGOxYhhBgswnnuDHf1UZ8ppf6TwCxBd0Y5FCGEGDTCfe6MqZKCEEKI6JKxj4QQQoRIUhBCCBEiSUEIIUSIJAUxrCil0oOdfnYopcqVUiXB5Sal1CPRjk+IaJMbzWLYUkr9FGjSWv93tGMRIlZISUEIQCl1iVLq9eDyT5VSf1ZKvRMcf/46pdSvlFKFSqm3lFK24HYXKqXWKaW2K6XeVkplR/enEKL/JCkI0bkJwCcJtP/+C7BGa50PtAKfDCaGh4DrtdYXAo8DP49WsEKES8x0XhMixqzWWnuVUoUEhh14K7i+EMgDpgAzOT38gAUoi0KcQoSVJAUhOucG0FqbSimvPn3zzSTwvVHAbq31omgFKEQkSPWREH2zH8hUSi0CUErZlFIzohyTEP0mSUGIPghOmXg9cL9SaiewA1gc1aCECANpkiqEECJESgpCCCFCJCkIIYQIkaQghBAiRJKCEEKIEEkKQgghQiQpCCGECJGkIIQQIkSSghBCiJD/H17cInhWyTdLAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     }
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "source": [
+    "# This plot shows the AC power output (I assume the y-axis units are W, but I'm not sure).\n",
+    "# I reason this based on the fact the the module is rated to 220W, and the example here is for Jan 25.\n",
+    "mc.results.ac.plot()\n",
+    "plt.show()"
+   ],
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     }
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [],
+   "outputs": [],
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Nameplate Capacity-Based Power Calculation"
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "source": [
+    "# We now scale the above profile based upon the total nameplate capacity\n",
+    "totalnameplatewdc = 923.9800 * 1000  # convert from kWdc to Wdc\n",
+    "ac_power = mc.results.ac/220 * totalnameplatewdc\n",
+    "ac_power.plot() # Note that this plot is in Watts\n",
+    "plt.show()"
+   ],
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     }
+    }
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [],
+   "outputs": [],
+   "metadata": {}
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.8.10 64-bit"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  },
+  "interpreter": {
+   "hash": "e964d369a359ed0ba710027d9bed5b8c42e55794a2de8e44fbfd668f6176fca8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
\ No newline at end of file
diff --git a/docs/tutorials/WRFcast_v3.ipynb b/docs/tutorials/WRFcast_v3.ipynb
new file mode 100644
index 0000000000..110868e16b
--- /dev/null
+++ b/docs/tutorials/WRFcast_v3.ipynb
@@ -0,0 +1,482 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# built in python modules\n",
+    "import datetime\n",
+    "import os\n",
+    "import inspect\n",
+    "import sys\n",
+    "\n",
+    "# python add-ons\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import xarray as xr\n",
+    "import netCDF4\n",
+    "import wrf\n",
+    "\n",
+    "# # Import the pvlib module\n",
+    "if sys.platform == 'linux':\n",
+    "    sys.path.append('/home/jsward/Documents/01_Research/01_Renewable_Analysis/WRF/pvlib-python')\n",
+    "import pvlib\n",
+    "from pvlib.wrfcast import WRF"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Find the absolute file path to your pvlib installation\n",
+    "pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib)))\n",
+    "\n",
+    "# absolute path to WRF data file\n",
+    "datapath = os.path.join(pvlib_abspath, 'data', 'wrfout_d01_2011-01-24_01:00:00')\n",
+    "\n",
+    "# Read in the wrfout file using the netCDF4.Dataset method (I think you can also do this with an xarray method)\n",
+    "netcdf_data = netCDF4.Dataset(datapath)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:       (Time: 24, south_north: 191, west_east: 191)\n",
+       "Coordinates:\n",
+       "  * Time          (Time) datetime64[ns] 2011-01-24T01:00:00 ... 2011-01-25\n",
+       "    lon           (south_north, west_east) float32 -95.43335 ... -64.11832\n",
+       "    lat           (south_north, west_east) float32 30.952759 ... 47.507103\n",
+       "Dimensions without coordinates: south_north, west_east\n",
+       "Data variables:\n",
+       "    temp_air      (Time, south_north, west_east) float32 287.62427 ... 264.03226\n",
+       "    wind_speed_u  (Time, south_north, west_east) float32 0.31499797 ... 17.972435\n",
+       "    wind_speed_v  (Time, south_north, west_east) float32 1.1208413 ... -1.0850167\n",
+       "    dni           (Time, south_north, west_east) float32 0.0 0.0 0.0 ... 0.0 0.0\n",
+       "    dhi           (Time, south_north, west_east) float32 0.0 0.0 0.0 ... 0.0 0.0"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Create an xarray.Dataset from the wrf qurery_variables.\n",
+    "query_variables = [\n",
+    "            'Times',\n",
+    "            'T2',\n",
+    "            'U10',\n",
+    "            'V10',\n",
+    "            'SWDDNI',\n",
+    "            'SWDDIF'\n",
+    "            ]\n",
+    "first = True\n",
+    "for key in query_variables:\n",
+    "    var = wrf.getvar(netcdf_data, key, timeidx=wrf.ALL_TIMES)\n",
+    "    if first:\n",
+    "        solar_data = var\n",
+    "        first = False\n",
+    "    else:\n",
+    "        solar_data = xr.merge([solar_data, var])\n",
+    "\n",
+    "variables = {\n",
+    "            'times': 'times',\n",
+    "            'XLAT': 'lat',\n",
+    "            'XLONG': 'lon',\n",
+    "            'T2': 'temp_air',\n",
+    "            'U10': 'wind_speed_u',\n",
+    "            'V10': 'wind_speed_v',\n",
+    "            'SWDDNI': 'dni',\n",
+    "            'SWDDIF': 'dhi' \n",
+    "            }\n",
+    "solar_data = xr.Dataset.rename(solar_data, variables)\n",
+    "solar_data = xr.Dataset.reset_coords(solar_data, ['XTIME'], drop=True)\n",
+    "times = solar_data.times\n",
+    "solar_data = xr.Dataset.set_coords(solar_data, ['times'])\n",
+    "solar_data = xr.Dataset.reset_coords(solar_data, ['times'], drop=True)\n",
+    "ntimes = solar_data.sizes['Time']\n",
+    "nlat = solar_data.sizes['south_north']\n",
+    "nlon = solar_data.sizes['west_east']\n",
+    "solar_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Explore how the WRF forecast model behaves\n",
+    "fm = WRF()\n",
+    "wind_speed = fm.uv_to_speed(solar_data)\n",
+    "temp_air = fm.kelvin_to_celsius(solar_data['temp_air'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>lon</th>\n",
+       "      <th>lat</th>\n",
+       "      <th>temp_air</th>\n",
+       "      <th>wind_speed_u</th>\n",
+       "      <th>wind_speed_v</th>\n",
+       "      <th>dni</th>\n",
+       "      <th>dhi</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Time</th>\n",
+       "      <th>south_north</th>\n",
+       "      <th>west_east</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">2011-01-24 01:00:00</th>\n",
+       "      <th rowspan=\"5\" valign=\"top\">0</th>\n",
+       "      <th>0</th>\n",
+       "      <td>-95.433350</td>\n",
+       "      <td>30.952759</td>\n",
+       "      <td>287.624268</td>\n",
+       "      <td>0.314998</td>\n",
+       "      <td>1.120841</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>-95.308044</td>\n",
+       "      <td>30.950832</td>\n",
+       "      <td>287.592499</td>\n",
+       "      <td>-0.087709</td>\n",
+       "      <td>1.663511</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-95.182739</td>\n",
+       "      <td>30.948757</td>\n",
+       "      <td>287.163452</td>\n",
+       "      <td>-0.358935</td>\n",
+       "      <td>1.999503</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>-95.057465</td>\n",
+       "      <td>30.946545</td>\n",
+       "      <td>287.356171</td>\n",
+       "      <td>-0.632014</td>\n",
+       "      <td>2.513421</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>-94.932190</td>\n",
+       "      <td>30.944153</td>\n",
+       "      <td>287.152344</td>\n",
+       "      <td>-0.803844</td>\n",
+       "      <td>2.692272</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <th>...</th>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">2011-01-25 00:00:00</th>\n",
+       "      <th rowspan=\"5\" valign=\"top\">190</th>\n",
+       "      <th>186</th>\n",
+       "      <td>-64.714050</td>\n",
+       "      <td>47.657688</td>\n",
+       "      <td>263.186615</td>\n",
+       "      <td>15.262465</td>\n",
+       "      <td>-0.319409</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>187</th>\n",
+       "      <td>-64.564850</td>\n",
+       "      <td>47.620308</td>\n",
+       "      <td>262.584229</td>\n",
+       "      <td>15.590679</td>\n",
+       "      <td>-0.548230</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>188</th>\n",
+       "      <td>-64.415833</td>\n",
+       "      <td>47.582741</td>\n",
+       "      <td>263.205566</td>\n",
+       "      <td>16.902138</td>\n",
+       "      <td>-0.615797</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>189</th>\n",
+       "      <td>-64.266968</td>\n",
+       "      <td>47.545010</td>\n",
+       "      <td>263.703674</td>\n",
+       "      <td>17.802485</td>\n",
+       "      <td>-0.596332</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>190</th>\n",
+       "      <td>-64.118317</td>\n",
+       "      <td>47.507103</td>\n",
+       "      <td>264.032257</td>\n",
+       "      <td>17.972435</td>\n",
+       "      <td>-1.085017</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>875544 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                 lon        lat    temp_air  \\\n",
+       "Time                south_north west_east                                     \n",
+       "2011-01-24 01:00:00 0           0         -95.433350  30.952759  287.624268   \n",
+       "                                1         -95.308044  30.950832  287.592499   \n",
+       "                                2         -95.182739  30.948757  287.163452   \n",
+       "                                3         -95.057465  30.946545  287.356171   \n",
+       "                                4         -94.932190  30.944153  287.152344   \n",
+       "...                                              ...        ...         ...   \n",
+       "2011-01-25 00:00:00 190         186       -64.714050  47.657688  263.186615   \n",
+       "                                187       -64.564850  47.620308  262.584229   \n",
+       "                                188       -64.415833  47.582741  263.205566   \n",
+       "                                189       -64.266968  47.545010  263.703674   \n",
+       "                                190       -64.118317  47.507103  264.032257   \n",
+       "\n",
+       "                                           wind_speed_u  wind_speed_v  dni  \\\n",
+       "Time                south_north west_east                                    \n",
+       "2011-01-24 01:00:00 0           0              0.314998      1.120841  0.0   \n",
+       "                                1             -0.087709      1.663511  0.0   \n",
+       "                                2             -0.358935      1.999503  0.0   \n",
+       "                                3             -0.632014      2.513421  0.0   \n",
+       "                                4             -0.803844      2.692272  0.0   \n",
+       "...                                                 ...           ...  ...   \n",
+       "2011-01-25 00:00:00 190         186           15.262465     -0.319409  0.0   \n",
+       "                                187           15.590679     -0.548230  0.0   \n",
+       "                                188           16.902138     -0.615797  0.0   \n",
+       "                                189           17.802485     -0.596332  0.0   \n",
+       "                                190           17.972435     -1.085017  0.0   \n",
+       "\n",
+       "                                           dhi  \n",
+       "Time                south_north west_east       \n",
+       "2011-01-24 01:00:00 0           0          0.0  \n",
+       "                                1          0.0  \n",
+       "                                2          0.0  \n",
+       "                                3          0.0  \n",
+       "                                4          0.0  \n",
+       "...                                        ...  \n",
+       "2011-01-25 00:00:00 190         186        0.0  \n",
+       "                                187        0.0  \n",
+       "                                188        0.0  \n",
+       "                                189        0.0  \n",
+       "                                190        0.0  \n",
+       "\n",
+       "[875544 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Convert xarray Datasets to a pandas DataFrames\n",
+    "solar_data = solar_data.to_dataframe()\n",
+    "times = times.to_dataframe()\n",
+    "solar_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Time Index: 2011-01-24 01:00:00\n",
+      "Time Index: 2011-01-24 02:00:00\n",
+      "Time Index: 2011-01-24 03:00:00\n",
+      "Time Index: 2011-01-24 04:00:00\n",
+      "Time Index: 2011-01-24 05:00:00\n",
+      "Time Index: 2011-01-24 06:00:00\n",
+      "Time Index: 2011-01-24 07:00:00\n",
+      "Time Index: 2011-01-24 08:00:00\n",
+      "Time Index: 2011-01-24 09:00:00\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Run the solar position algorithm for time, lat, and lon indices, and concatonate them into a single DataFrame\n",
+    "# This takes PROHIBITIVELY long time...\n",
+    "numerical_time_indices = range(0, ntimes)\n",
+    "lat_indices = range(0, nlat)\n",
+    "lon_indices = range(0, nlon)\n",
+    "first = True\n",
+    "for num_time_idx in numerical_time_indices:\n",
+    "    time = times.index.get_level_values('Time')[num_time_idx]\n",
+    "    print(f'Time Index: {time}')\n",
+    "    for lat_idx in lat_indices:\n",
+    "        for lon_idx in lon_indices:\n",
+    "            \n",
+    "#             print(f'Time Index: {time}')\n",
+    "#             print(f'\\tLatitude index: {lat_idx}')\n",
+    "#             print(f'\\t\\tLongitude index: {lon_idx}')\n",
+    "            \n",
+    "            solpos_new = pvlib.solarposition.spa_xarray_python(time, \n",
+    "                                        solar_data['lat'].loc[time, lat_idx, lon_idx], \n",
+    "                                        solar_data['lon'].loc[time, lat_idx, lon_idx], lat_idx, lon_idx)\n",
+    "            \n",
+    "            if first:\n",
+    "                solpos = solpos_new\n",
+    "                first = False\n",
+    "            else:\n",
+    "                solpos = pd.concat([solpos, solpos_new])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "solpos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# This kills the kernel...\n",
+    "solar_data['zenith'] = solpos['zenith']\n",
+    "# solar_data = solar_data.to_xarray()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    " ghi = fm.dni_and_dhi_to_ghi(solar_data['dni'], solar_data['dhi'], solar_data['zenith'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "solar_data['ghi'] = ghi"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "solar_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/tutorials/solpos_d01_2011-01-24_01:00:00.nc b/docs/tutorials/solpos_d01_2011-01-24_01:00:00.nc
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index 0000000000..d4ce884b3f
Binary files /dev/null and b/docs/tutorials/solpos_d01_2011-01-24_01:00:00.nc differ
diff --git a/docs/tutorials/wrfcast.ipynb b/docs/tutorials/wrfcast.ipynb
new file mode 100644
index 0000000000..30a54f6d5d
--- /dev/null
+++ b/docs/tutorials/wrfcast.ipynb
@@ -0,0 +1,244 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# WRFcast Tutorial\n",
+    "\n",
+    "This tutorial will walk through forecast data from your own WRF forecast model data using the wrfcast.py module within pvlib.\n",
+    "\n",
+    "This tutorial has been tested against the following package versions:\n",
+    "* Python \n",
+    "* IPython \n",
+    "* pandas \n",
+    "* matplotlib \n",
+    "* netcdf4 1.4.2 \n",
+    "\n",
+    "It should work with other Python and Pandas versions. It requires pvlib >= 0.3.0 and IPython >= 3.0.\n",
+    "\n",
+    "Authors:\n",
+    "* Jeffrey Sward (jas983@cornell.edu), Cornell University, November 2019"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# built in python modules\n",
+    "import datetime\n",
+    "import os\n",
+    "import inspect\n",
+    "import sys\n",
+    "\n",
+    "# python add-ons\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import xarray as xr\n",
+    "import netCDF4\n",
+    "import wrf\n",
+    "\n",
+    "# # Import the pvlib module\n",
+    "if sys.platform == 'linux':\n",
+    "    sys.path.append('/home/jsward/Documents/01_Research/01_Renewable_Analysis/WRF/pvlib-python')\n",
+    "import pvlib\n",
+    "from pvlib.wrfcast import WRF"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Find the absolute file path to your pvlib installation\n",
+    "pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib)))\n",
+    "\n",
+    "# absolute path to WRF data file\n",
+    "datapath = os.path.join(pvlib_abspath, 'data', 'wrfout_d01_2011-01-24_01:00:00')\n",
+    "\n",
+    "# Read in the wrfout file using the netCDF4.Dataset method (I think you can also do this with an xarray method)\n",
+    "netcdf_data = netCDF4.Dataset(datapath)\n",
+    "netcdf_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# Create an xarray.Dataset from the wrf qurery_variables.\n",
+    "query_variables = [\n",
+    "            'Times',\n",
+    "            'T2',\n",
+    "            'U10',\n",
+    "            'V10',\n",
+    "            'CLDFRA',\n",
+    "            'SWDDNI',\n",
+    "            'SWDDIF'\n",
+    "            ]\n",
+    "first = True\n",
+    "for key in query_variables:\n",
+    "    var = wrf.getvar(netcdf_data, key, timeidx=wrf.ALL_TIMES)\n",
+    "    if first:\n",
+    "        solar_data = var\n",
+    "        first = False\n",
+    "    else:\n",
+    "        solar_data = xr.merge([solar_data, var])\n",
+    "\n",
+    "variables = {\n",
+    "            'times': 'times',\n",
+    "            'XLAT': 'lat',\n",
+    "            'XLONG': 'lon',\n",
+    "            'T2': 'temp_air',\n",
+    "            'U10': 'wind_speed_u',\n",
+    "            'V10': 'wind_speed_v',\n",
+    "            'CLDFRA': 'total_clouds',\n",
+    "            'SWDDNI': 'dni',\n",
+    "            'SWDDIF': 'dhi' \n",
+    "            }\n",
+    "solar_data = xr.Dataset.rename(solar_data, variables)\n",
+    "times = solar_data.times\n",
+    "ntimes = solar_data.sizes['Time']\n",
+    "nlat = solar_data.sizes['south_north']\n",
+    "nlon = solar_data.sizes['west_east']\n",
+    "solar_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Explore how the WRF forecast model behaves\n",
+    "fm = WRF()\n",
+    "wind_speed = fm.uv_to_speed(solar_data)\n",
+    "temp_air = fm.kelvin_to_celsius(solar_data['temp_air'])\n",
+    "# ghi = fm.dni_and_dhi_to_ghi(solar_data['dni'], solar_data['dhi'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Convert xarray Datasets to a pandas DataFrames\n",
+    "solar_data = solar_data.to_dataframe()\n",
+    "times = times.to_dataframe()\n",
+    "solar_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# Run the solar position algorithm for time, lat, and lon indices, and concatonate them into a single DataFrame\n",
+    "numerical_time_indices = range(0, ntimes)\n",
+    "lat_indices = range(0, nlat)\n",
+    "lon_indices = range(0, nlon)\n",
+    "first = True\n",
+    "for num_time_idx in numerical_time_indices:\n",
+    "    time = times.index.get_level_values('Time')[num_time_idx]\n",
+    "    print(f'Time Index: {time}')\n",
+    "    for lat_idx in lat_indices:\n",
+    "        for lon_idx in lon_indices:\n",
+    "            \n",
+    "#             print(f'Time Index: {time}')\n",
+    "#             print(f'\\tLatitude index: {lat_idx}')\n",
+    "#             print(f'\\t\\tLongitude index: {lon_idx}')\n",
+    "            \n",
+    "            solpos_new = pvlib.solarposition.spa_xarray_python(time, \n",
+    "                                        solar_data['lat'].loc[time, 0, lat_idx, lon_idx], \n",
+    "                                        solar_data['lon'].loc[time, 0, lat_idx, lon_idx], lat_idx, lon_idx)\n",
+    "            \n",
+    "            if first:\n",
+    "                solpos = solpos_new\n",
+    "                first = False\n",
+    "            else:\n",
+    "                solpos = pd.concat([solpos, solpos_new])\n",
+    "            "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "solpos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "solpos = solpos.to_dataframe()\n",
+    "solar_data['zenith'] = solpos['zenith']\n",
+    "solar_data = solar_data.to_xarray()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "solpos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_filename_1 = './solpos_d01_2011-01-24_01:00:00.nc'\n",
+    "solpos.to_netcdf(path=new_filename_1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/tutorials/xray.ipynb b/docs/tutorials/xray.ipynb
new file mode 100755
index 0000000000..646a83909a
--- /dev/null
+++ b/docs/tutorials/xray.ipynb
@@ -0,0 +1,1784 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The load_style extension is already loaded. To reload it, use:\n",
+      "  %reload_ext load_style\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>\n",
+       "\n",
+       ".rendered_html {\n",
+       "    font-family: \"proxima-nova\", helvetica;\n",
+       "    font-size: 130%;\n",
+       "    line-height: 1.5;\n",
+       "}\n",
+       "\n",
+       ".rendered_html h1 {\n",
+       "    margin: 0.25em 0em 0.5em;\n",
+       "    color: #015C9C;\n",
+       "    text-align: center;\n",
+       "    line-height: 1.2; \n",
+       "    page-break-before: always;\n",
+       "}\n",
+       "\n",
+       ".rendered_html h2 {\n",
+       "    margin: 1.1em 0em 0.5em;\n",
+       "    color: #26465D;\n",
+       "    line-height: 1.2;\n",
+       "}\n",
+       "\n",
+       ".rendered_html h3 {\n",
+       "    margin: 1.1em 0em 0.5em;\n",
+       "    color: #002845;\n",
+       "    line-height: 1.2;\n",
+       "}\n",
+       "\n",
+       ".rendered_html li {\n",
+       "    line-height: 1.5; \n",
+       "}\n",
+       "\n",
+       "/*.prompt {\n",
+       "    font-size: 120%; \n",
+       "}*/\n",
+       "\n",
+       ".CodeMirror-lines {\n",
+       "    font-size: 110%; \n",
+       "}\n",
+       "\n",
+       "/*.output_area {\n",
+       "    font-size: 120%; \n",
+       "}*/\n",
+       "\n",
+       "/*#notebook {\n",
+       "    background-image: url('files/images/witewall_3.png');\n",
+       "}*/\n",
+       "\n",
+       "h1.bigtitle {\n",
+       "    margin: 4cm 1cm 4cm 1cm;\n",
+       "    font-size: 300%;\n",
+       "}\n",
+       "\n",
+       "h3.point {\n",
+       "    font-size: 200%;\n",
+       "    text-align: center;\n",
+       "    margin: 2em 0em 2em 0em;\n",
+       "    #26465D\n",
+       "}\n",
+       "\n",
+       ".logo {\n",
+       "    margin: 20px 0 20px 0;\n",
+       "}\n",
+       "\n",
+       "a.anchor-link {\n",
+       "    display: none;\n",
+       "}\n",
+       "\n",
+       "h1.title { \n",
+       "    font-size: 250%;\n",
+       "}\n",
+       "\n",
+       "</style>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%load_ext load_style\n",
+    "%load_style talk.css\n",
+    "from IPython.display import YouTubeVideo, Image"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# [XRAY](https://github.com/xray/xray)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[xray](https://github.com/xray/xray) has been developed by scientists / engineers working at the [Climate Corporation](http://climate.com/)\n",
+    "\n",
+    "It is an open source project and Python package that aims to bring\n",
+    "the labeled data power of [pandas](http://pandas.pydata.org) to the\n",
+    "physical sciences, by providing N-dimensional variants of the core\n",
+    "[pandas](http://pandas.pydata.org) data structures, `Series` and\n",
+    "`DataFrame`: the xray `DataArray` and `Dataset`.\n",
+    "\n",
+    "the goal is to provide a pandas-like and pandas-compatible toolkit for\n",
+    "analytics on multi-dimensional arrays, rather than the tabular data for\n",
+    "which pandas excels. The approach adopts the [Common Data\n",
+    "Model](http://www.unidata.ucar.edu/software/thredds/current/netcdf-java/CDM)\n",
+    "for self-describing scientific data in widespread use in the Earth\n",
+    "sciences (e.g., [netCDF](http://www.unidata.ucar.edu/software/netcdf)\n",
+    "and [OPeNDAP](http://www.opendap.org/)): `xray.Dataset` is an in-memory\n",
+    "representation of a netCDF file.\n",
+    "\n",
+    "-   HTML documentation: <http://xray.readthedocs.org>: **really good doc !**\n",
+    "-   Source code: <http://github.com/xray/xray>\n",
+    "\n",
+    "The main advantages of using [xray](https://github.com/xray/xray) versus [netCDF4](https://github.com/Unidata/netcdf4-python) are: \n",
+    "\n",
+    "+ intelligent selection along **labelled dimensions** (and also indexes)\n",
+    "+ **groupby** operations ! \n",
+    "+ data alignment \n",
+    "+ IO (netcdf)\n",
+    "+ conversion from / to [Pandas.DataFrames](http://pandas.pydata.org/pandas-docs/dev/generated/pandas.DataFrame.html)\n",
+    "\n",
+    "What is missing IMHO: \n",
+    "\n",
+    "*+ Multiple File Datasets (see netCDF4 [MFDataset](http://netcdf4-python.googlecode.com/svn/trunk/docs/netCDF4.MFDataset-class.html))*\n",
+    "\n",
+    "<font color='red'><b>UPDATE !</b> (Thanks Stephan Hoyer!) you can open multiple files Datasets using `glob` and the `concat` method</font>: \n",
+    "\n",
+    "```python\n",
+    "import glob\n",
+    "import xray \n",
+    "\n",
+    "files = sorted(glob.glob('/Users/nicolasf/data/NCEP1/PAC/hgt.????.nc'))\n",
+    "\n",
+    "ds = xray.concat([xray.open_dataset(f) for f in files], 'time')\n",
+    "```\n",
+    "\n",
+    "You can now use the `sel` method to select slices along e.g. the time dimension: \n",
+    "\n",
+    "```python \n",
+    "\n",
+    "ds.sel(time=slice('1980','2000'))\n",
+    "\n",
+    "```\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "There's too much to see in the context of this talk, to know more about all the cool **xray** features, watch: \n",
+    "\n",
+    "PyData talk by **Stefan Hoyer**: <https://www.youtube.com/watch?v=T5CZyNwBa9c>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "        <iframe\n",
+       "            width=\"500\"\n",
+       "            height=\"400\"\n",
+       "            src=\"https://www.youtube.com/embed/T5CZyNwBa9c?start=0\"\n",
+       "            frameborder=\"0\"\n",
+       "            allowfullscreen\n",
+       "        ></iframe>\n",
+       "        "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.YouTubeVideo at 0x10adca2d0>"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "YouTubeVideo('T5CZyNwBa9c', width=500, height=400, start=0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Some examples"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "from matplotlib import pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'mpl_toolkits.basemap'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-3-5adc3d5a6893>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mmpl_toolkits\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbasemap\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mBasemap\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mbm\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'mpl_toolkits.basemap'"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from mpl_toolkits.basemap import Basemap as bm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.4.1-2-gaaf9067\n"
+     ]
+    }
+   ],
+   "source": [
+    "import xray; print(xray.__version__)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Open a netcdf file (ERSST Version 4)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dset = xray.open_dataset(os.path.join(os.environ['HOME'], 'data/SST/ER_SST/V4',\\\n",
+    "                                      'ersst.realtime.nc'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "dset is a [xray.Dataset](http://xray.readthedocs.org/en/stable/data-structures.html#dataset), It is a dict-like container of labeled arrays (DataArray objects) with aligned dimensions. It is designed as an in-memory representation of the data model from the netCDF file format."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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VcAAc6sRE1+dwa592/HokSRLgIEnBgMOCPyHY6ii7/03eG23+FFsBwOH6uqPBgr0rH6fc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7Vk4NAVN5QMHLrihpKBQxfcADhIyT5Wry769WK/ax4jSQIcAAfAwVZbHf1tBRwS4IYSgUOfrYCD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\nXAs5AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {
+      "image/png": {
+       "width": 900
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Image('http://xray.readthedocs.org/en/stable/_images/dataset-diagram.png', width=900)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xray.Dataset>\n",
+       "Dimensions:   (lat: 89, lon: 180, nv: 2, time: 804, zlev: 1)\n",
+       "Coordinates:\n",
+       "  * time      (time) datetime64[ns] 1948-01-15 1948-02-15 1948-03-15 1948-04-15 ...\n",
+       "  * zlev      (zlev) float32 0.0\n",
+       "  * lat       (lat) float32 -88.0 -86.0 -84.0 -82.0 -80.0 -78.0 -76.0 -74.0 -72.0 -70.0 ...\n",
+       "  * lon       (lon) float32 0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 ...\n",
+       "  * nv        (nv) int64 0 1\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, nv) float32 -89.0 -87.0 -87.0 -85.0 -85.0 -83.0 -83.0 -81.0 -81.0 ...\n",
+       "    lon_bnds  (lon, nv) float32 -1.0 1.0 1.0 3.0 3.0 5.0 5.0 7.0 7.0 9.0 9.0 11.0 11.0 ...\n",
+       "    sst       (time, zlev, lat, lon) float64 nan nan nan nan nan nan nan nan nan nan nan ...\n",
+       "    anom      (time, zlev, lat, lon) float64 nan nan nan nan nan nan nan nan nan nan nan ...\n",
+       "Attributes:\n",
+       "    Conventions: CF-1.6\n",
+       "    Metadata_Conventions: CF-1.6, Unidata Dataset Discovery v1.0\n",
+       "    metadata_link: C00884\n",
+       "    id: ersst.v4.194801\n",
+       "    naming_authority: gov.noaa.ncdc\n",
+       "    title: NOAA Extended Reconstructed Sea Surface Temperature (ERSST), Version 4 (in situ only)\n",
+       "    summary: ERSST.v4 is developped based on v3b after revisions of 11 parameters using updated data sets and advanced knowledge of ERSST analysis\n",
+       "    institution: NOAA/NESDIS/NCDC\n",
+       "    creator_name: Boyin Huang\n",
+       "    creator_email: boyin.huang@noaa.gov\n",
+       "    date_created: 2014-10-24\n",
+       "    production_version: Beta Version 4\n",
+       "    history: Fri Feb 13 15:18:09 2015: ncrcat ersst.194801_ft.nc ersst.194802_ft.nc ersst.194803_ft.nc ersst.194804_ft.nc ersst.194805_ft.nc ersst.194806_ft.nc ersst.194807_ft.nc ersst.194808_ft.nc ersst.194809_ft.nc ersst.194810_ft.nc ersst.194811_ft.nc ersst.194812_ft.nc ersst.194901_ft.nc ersst.194902_ft.nc ersst.194903_ft.nc ersst.194904_ft.nc ersst.194905_ft.nc ersst.194906_ft.nc ersst.194907_ft.nc ersst.194908_ft.nc ersst.194909_ft.nc ersst.194910_ft.nc ersst.194911_ft.nc ersst.194912_ft.nc ersst.19...\n",
+       "    publisher_name: Boyin Huang\n",
+       "    publisher_email: boyin.huang@noaa.gov\n",
+       "    publisher_url: http://www.ncdc.noaa.gov\n",
+       "    creator_url: http://www.ncdc.noaa.gov\n",
+       "    license: No constraints on data access or use\n",
+       "    time_coverage_start: 1948-01-15T000000Z\n",
+       "    time_coverage_end: 1948-01-15T000000Z\n",
+       "    geospatial_lon_min: -1.0f\n",
+       "    geospatial_lon_max: 359.0f\n",
+       "    geospatial_lat_min: -89.0f\n",
+       "    geospatial_lat_max: 89.0f\n",
+       "    geospatial_lat_units: degrees_north\n",
+       "    geospatial_lat_resolution: 2.0\n",
+       "    geospatial_lon_units: degrees_east\n",
+       "    geospatial_lon_resolution: 2.0\n",
+       "    spatial_resolution: 2.0 degree grid\n",
+       "    cdm_data_type: Grid\n",
+       "    processing_level: L4\n",
+       "    standard_name_vocabulary: CF Standard Name Table v27\n",
+       "    keywords: Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt\n",
+       "    keywords_vocabulary: NASA Global Change Master Directory (GCMD) Science Keywords\n",
+       "    project: NOAA Extended Reconstructed Sea Surface Temperature (ERSST)\n",
+       "    platform: Ship and Buoy SSTs from ICOADS R2.5 and NCEP GTS\n",
+       "    instrument: Conventional thermometers\n",
+       "    source: ICOADS R2.5 SST, NCEP GTS SST, HadISST ice, NCEP ice\n",
+       "    comment: SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker\n",
+       "    references: Huang et al, 2014: Extended Reconstructed Sea Surface Temperatures Version 4 (ERSST.v4), Part I. Upgrades and Intercomparisons. Journal of Climate, DOI: 10.1175/JCLI-D-14-00006.1.\n",
+       "    climatology: Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.\n",
+       "    description: In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.\n",
+       "    nco_openmp_thread_number: 1"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[u'lat', u'lon', u'nv', u'time', u'zlev']"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dset.dims.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Frozen(SortedKeysDict({u'lat': 89, u'zlev': 1, u'lon': 180, u'nv': 2, u'time': 804}))"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dset.dims"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[u'Conventions',\n",
+       " u'Metadata_Conventions',\n",
+       " u'metadata_link',\n",
+       " u'id',\n",
+       " u'naming_authority',\n",
+       " u'title',\n",
+       " u'summary',\n",
+       " u'institution',\n",
+       " u'creator_name',\n",
+       " u'creator_email',\n",
+       " u'date_created',\n",
+       " u'production_version',\n",
+       " u'history',\n",
+       " u'publisher_name',\n",
+       " u'publisher_email',\n",
+       " u'publisher_url',\n",
+       " u'creator_url',\n",
+       " u'license',\n",
+       " u'time_coverage_start',\n",
+       " u'time_coverage_end',\n",
+       " u'geospatial_lon_min',\n",
+       " u'geospatial_lon_max',\n",
+       " u'geospatial_lat_min',\n",
+       " u'geospatial_lat_max',\n",
+       " u'geospatial_lat_units',\n",
+       " u'geospatial_lat_resolution',\n",
+       " u'geospatial_lon_units',\n",
+       " u'geospatial_lon_resolution',\n",
+       " u'spatial_resolution',\n",
+       " u'cdm_data_type',\n",
+       " u'processing_level',\n",
+       " u'standard_name_vocabulary',\n",
+       " u'keywords',\n",
+       " u'keywords_vocabulary',\n",
+       " u'project',\n",
+       " u'platform',\n",
+       " u'instrument',\n",
+       " u'source',\n",
+       " u'comment',\n",
+       " u'references',\n",
+       " u'climatology',\n",
+       " u'description',\n",
+       " u'nco_openmp_thread_number']"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dset.attrs.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[u'time',\n",
+       " u'zlev',\n",
+       " u'lat',\n",
+       " u'lon',\n",
+       " u'lat_bnds',\n",
+       " u'lon_bnds',\n",
+       " u'sst',\n",
+       " u'anom',\n",
+       " u'nv']"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dset.keys()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### accessing variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lat = dset['lat']\n",
+    "lon = dset['lon']\n",
+    "lons, lats = np.meshgrid(lon, lat)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### selecting a Dataset along dimensions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xray.Dataset>\n",
+       "Dimensions:   (lat: 89, lon: 180, nv: 2)\n",
+       "Coordinates:\n",
+       "    time      datetime64[ns] 1998-01-15\n",
+       "    zlev      float32 0.0\n",
+       "  * lat       (lat) float32 -88.0 -86.0 -84.0 -82.0 -80.0 -78.0 -76.0 -74.0 -72.0 -70.0 ...\n",
+       "  * lon       (lon) float32 0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 ...\n",
+       "  * nv        (nv) int64 0 1\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, nv) float32 -89.0 -87.0 -87.0 -85.0 -85.0 -83.0 -83.0 -81.0 -81.0 ...\n",
+       "    lon_bnds  (lon, nv) float32 -1.0 1.0 1.0 3.0 3.0 5.0 5.0 7.0 7.0 9.0 9.0 11.0 11.0 ...\n",
+       "    sst       (lat, lon) float64 nan nan nan nan nan nan nan nan nan nan nan nan nan nan ...\n",
+       "    anom      (lat, lon) float64 nan nan nan nan nan nan nan nan nan nan nan nan nan nan ...\n",
+       "Attributes:\n",
+       "    Conventions: CF-1.6\n",
+       "    Metadata_Conventions: CF-1.6, Unidata Dataset Discovery v1.0\n",
+       "    metadata_link: C00884\n",
+       "    id: ersst.v4.194801\n",
+       "    naming_authority: gov.noaa.ncdc\n",
+       "    title: NOAA Extended Reconstructed Sea Surface Temperature (ERSST), Version 4 (in situ only)\n",
+       "    summary: ERSST.v4 is developped based on v3b after revisions of 11 parameters using updated data sets and advanced knowledge of ERSST analysis\n",
+       "    institution: NOAA/NESDIS/NCDC\n",
+       "    creator_name: Boyin Huang\n",
+       "    creator_email: boyin.huang@noaa.gov\n",
+       "    date_created: 2014-10-24\n",
+       "    production_version: Beta Version 4\n",
+       "    history: Fri Feb 13 15:18:09 2015: ncrcat ersst.194801_ft.nc ersst.194802_ft.nc ersst.194803_ft.nc ersst.194804_ft.nc ersst.194805_ft.nc ersst.194806_ft.nc ersst.194807_ft.nc ersst.194808_ft.nc ersst.194809_ft.nc ersst.194810_ft.nc ersst.194811_ft.nc ersst.194812_ft.nc ersst.194901_ft.nc ersst.194902_ft.nc ersst.194903_ft.nc ersst.194904_ft.nc ersst.194905_ft.nc ersst.194906_ft.nc ersst.194907_ft.nc ersst.194908_ft.nc ersst.194909_ft.nc ersst.194910_ft.nc ersst.194911_ft.nc ersst.194912_ft.nc ersst.19...\n",
+       "    publisher_name: Boyin Huang\n",
+       "    publisher_email: boyin.huang@noaa.gov\n",
+       "    publisher_url: http://www.ncdc.noaa.gov\n",
+       "    creator_url: http://www.ncdc.noaa.gov\n",
+       "    license: No constraints on data access or use\n",
+       "    time_coverage_start: 1948-01-15T000000Z\n",
+       "    time_coverage_end: 1948-01-15T000000Z\n",
+       "    geospatial_lon_min: -1.0f\n",
+       "    geospatial_lon_max: 359.0f\n",
+       "    geospatial_lat_min: -89.0f\n",
+       "    geospatial_lat_max: 89.0f\n",
+       "    geospatial_lat_units: degrees_north\n",
+       "    geospatial_lat_resolution: 2.0\n",
+       "    geospatial_lon_units: degrees_east\n",
+       "    geospatial_lon_resolution: 2.0\n",
+       "    spatial_resolution: 2.0 degree grid\n",
+       "    cdm_data_type: Grid\n",
+       "    processing_level: L4\n",
+       "    standard_name_vocabulary: CF Standard Name Table v27\n",
+       "    keywords: Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt\n",
+       "    keywords_vocabulary: NASA Global Change Master Directory (GCMD) Science Keywords\n",
+       "    project: NOAA Extended Reconstructed Sea Surface Temperature (ERSST)\n",
+       "    platform: Ship and Buoy SSTs from ICOADS R2.5 and NCEP GTS\n",
+       "    instrument: Conventional thermometers\n",
+       "    source: ICOADS R2.5 SST, NCEP GTS SST, HadISST ice, NCEP ice\n",
+       "    comment: SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker\n",
+       "    references: Huang et al, 2014: Extended Reconstructed Sea Surface Temperatures Version 4 (ERSST.v4), Part I. Upgrades and Intercomparisons. Journal of Climate, DOI: 10.1175/JCLI-D-14-00006.1.\n",
+       "    climatology: Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.\n",
+       "    description: In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.\n",
+       "    nco_openmp_thread_number: 1"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dset.sel(time=('1998-1-15'), zlev=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xray.Dataset>\n",
+       "Dimensions:   (lat: 41, lon: 180, nv: 2)\n",
+       "Coordinates:\n",
+       "    time      datetime64[ns] 1998-01-15\n",
+       "    zlev      float32 0.0\n",
+       "  * lat       (lat) float32 -40.0 -38.0 -36.0 -34.0 -32.0 -30.0 -28.0 -26.0 -24.0 -22.0 ...\n",
+       "  * lon       (lon) float32 0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 ...\n",
+       "  * nv        (nv) int64 0 1\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, nv) float32 -41.0 -39.0 -39.0 -37.0 -37.0 -35.0 -35.0 -33.0 -33.0 ...\n",
+       "    lon_bnds  (lon, nv) float32 -1.0 1.0 1.0 3.0 3.0 5.0 5.0 7.0 7.0 9.0 9.0 11.0 11.0 ...\n",
+       "    sst       (lat, lon) float64 13.86 13.84 13.86 13.89 14.05 14.41 15.14 16.21 17.33 ...\n",
+       "    anom      (lat, lon) float64 -0.44 -0.44 -0.42 -0.44 -0.4 -0.38 -0.36 -0.32 -0.29 ...\n",
+       "Attributes:\n",
+       "    Conventions: CF-1.6\n",
+       "    Metadata_Conventions: CF-1.6, Unidata Dataset Discovery v1.0\n",
+       "    metadata_link: C00884\n",
+       "    id: ersst.v4.194801\n",
+       "    naming_authority: gov.noaa.ncdc\n",
+       "    title: NOAA Extended Reconstructed Sea Surface Temperature (ERSST), Version 4 (in situ only)\n",
+       "    summary: ERSST.v4 is developped based on v3b after revisions of 11 parameters using updated data sets and advanced knowledge of ERSST analysis\n",
+       "    institution: NOAA/NESDIS/NCDC\n",
+       "    creator_name: Boyin Huang\n",
+       "    creator_email: boyin.huang@noaa.gov\n",
+       "    date_created: 2014-10-24\n",
+       "    production_version: Beta Version 4\n",
+       "    history: Fri Feb 13 15:18:09 2015: ncrcat ersst.194801_ft.nc ersst.194802_ft.nc ersst.194803_ft.nc ersst.194804_ft.nc ersst.194805_ft.nc ersst.194806_ft.nc ersst.194807_ft.nc ersst.194808_ft.nc ersst.194809_ft.nc ersst.194810_ft.nc ersst.194811_ft.nc ersst.194812_ft.nc ersst.194901_ft.nc ersst.194902_ft.nc ersst.194903_ft.nc ersst.194904_ft.nc ersst.194905_ft.nc ersst.194906_ft.nc ersst.194907_ft.nc ersst.194908_ft.nc ersst.194909_ft.nc ersst.194910_ft.nc ersst.194911_ft.nc ersst.194912_ft.nc ersst.19...\n",
+       "    publisher_name: Boyin Huang\n",
+       "    publisher_email: boyin.huang@noaa.gov\n",
+       "    publisher_url: http://www.ncdc.noaa.gov\n",
+       "    creator_url: http://www.ncdc.noaa.gov\n",
+       "    license: No constraints on data access or use\n",
+       "    time_coverage_start: 1948-01-15T000000Z\n",
+       "    time_coverage_end: 1948-01-15T000000Z\n",
+       "    geospatial_lon_min: -1.0f\n",
+       "    geospatial_lon_max: 359.0f\n",
+       "    geospatial_lat_min: -89.0f\n",
+       "    geospatial_lat_max: 89.0f\n",
+       "    geospatial_lat_units: degrees_north\n",
+       "    geospatial_lat_resolution: 2.0\n",
+       "    geospatial_lon_units: degrees_east\n",
+       "    geospatial_lon_resolution: 2.0\n",
+       "    spatial_resolution: 2.0 degree grid\n",
+       "    cdm_data_type: Grid\n",
+       "    processing_level: L4\n",
+       "    standard_name_vocabulary: CF Standard Name Table v27\n",
+       "    keywords: Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt\n",
+       "    keywords_vocabulary: NASA Global Change Master Directory (GCMD) Science Keywords\n",
+       "    project: NOAA Extended Reconstructed Sea Surface Temperature (ERSST)\n",
+       "    platform: Ship and Buoy SSTs from ICOADS R2.5 and NCEP GTS\n",
+       "    instrument: Conventional thermometers\n",
+       "    source: ICOADS R2.5 SST, NCEP GTS SST, HadISST ice, NCEP ice\n",
+       "    comment: SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker\n",
+       "    references: Huang et al, 2014: Extended Reconstructed Sea Surface Temperatures Version 4 (ERSST.v4), Part I. Upgrades and Intercomparisons. Journal of Climate, DOI: 10.1175/JCLI-D-14-00006.1.\n",
+       "    climatology: Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.\n",
+       "    description: In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.\n",
+       "    nco_openmp_thread_number: 1"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dset.sel(time=('1998-1-15'), zlev=0, lat=slice(-40,40))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### defines the Basemap projection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m = bm(projection='cyl',llcrnrlat=-90,urcrnrlat=90,\\\n",
+    "            llcrnrlon=0,urcrnrlon=360,\\\n",
+    "            lat_ts=0,resolution='c')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### defines a function to plot a field (must be 2D)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_field(X, lat, lon, vmin, vmax, step, cmap=plt.get_cmap('jet'), ax=False, title=False, grid=False):\n",
+    "    if not ax: \n",
+    "        f, ax = plt.subplots(figsize=(10, (X.shape[0] / float(X.shape[1])) * 10))\n",
+    "    m.ax = ax\n",
+    "    im = m.contourf(lons, lats, X, np.arange(vmin, vmax+step, step), latlon=True, cmap=cmap, extend='both', ax=ax)\n",
+    "    m.drawcoastlines()\n",
+    "    if grid: \n",
+    "        m.drawmeridians(np.arange(0, 360, 60), labels=[0,0,0,1])\n",
+    "        m.drawparallels([-40, 0, 40], labels=[1,0,0,0])\n",
+    "    m.colorbar(im)\n",
+    "    if title: \n",
+    "        ax.set_title(title)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### plots "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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F3VOJUpPAzLYKfXH02zjKFnw0tN9NQ9lQdAumRvU2JiVsnJzVJn8ULGoxgrYf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GY8KzFylqOqx1deKysWzjV54m6MgIRCqBckn4qP5TkIY84rsKll3QSfbz8so+tt+7cQmCAiD6nq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\nRK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x10b51dc90>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_field(dset.sel(time=('1998-1-15'), zlev=0)['sst'], lats, lons, 0, 30, 1, grid=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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/nA0b1jNt+gzaRrfxNGlej7yLqcA/gO7IQgakzJVLLddAG+R98jc2kPxsu5Dy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\njLmZBfPn88UXBYKL1iG+XwDvaMn75n6dEGASkob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GAV+pwDJKDxsSAA0q2LmHYk+Kodsj\nICLnogl/Etq93baOXTVKDJ1BLp8yrGKHAUfOmjF9MZC9s6jo17fGv/HCW+PfOAn9kLvkm4ULKKms\nptIgEeFIXbBkhX59+3D3vWNq2ukHUxOgZ6eOHXh/wms1WZ31dH+GQ0FBITmbtwRsi5TcSWVpAKlz\nimOLjY2le/dj/J8jJXOVIdpVVqtapK5a3LWso8rj06mqVRUBE6d/Are90Pq1xYyMRq/HTf5b95N5\n4RiqqqvvBhCRWUqp4yP6En9TlqvoWq2L0S+Z8SLSUSn1S5jDoj5Nu/3aZimltsXHxYKe63LQ7tpG\nLS0oIiPRkj4mbkK/kL3ZsecA3nvjZXp07woeXw2pN481iL2y7vPEOJI6CLxGnKx29msoEiIXlMRF\nEgdqtgkQ+Q58YVEeH0U7/YbKXOBkMzFHREYveHccndq1ZMEPyzi5zzE8q0Ohmiql5ovIburxAvBX\nwXhmvwr8ppR6KkS7FHQscoOUuNsrYugAXnzvE9APgIfQFpGpaJJ2IpqxN1NK/amUulspNU8pVayU\nylFKXY7O5JqhHGpi/kvIHOyz0PlhJBgsAd5Bk7nt6IzoulrZGi2GDvxyDkejA8R7GLqI69Ei2QDD\nxo1/h4TEJJTSJa5KKqsDhHSjwTFdOvLbiuXmwwa0kPZvwKWdDz+8ThIdUWXGVVX4l9TkeFpmZQZ9\n89duyvKILIB2AltX0WM7mTPd38HaWOPpzGQMk2gqj88/CSq3z4hXCoydckqQMBGTkEjem9mg6+kC\nDBSRt0Ukkknv74qhM2vGTgVuQdfTbWgUAJcY2bIoLcb8MXBmI5zLjkrgK7QElSilnkDH+524ZetW\nnnv59cD/PwRcAyaCxZw5xdZBTYKDdXE6xhqrZ42PC4iJc3trLw2Idq1bmn9moN2oJnbFxcTw6iez\n6H/JzTw/8VPQkjEbAJRSR6BjIPd0HAuMAI4TkSXGMlhErjBkeUycjs7YDVvvLBLsFRa6VWs2cHX2\n41DjcnxO1a65GPTB1BgyIHsh/tUWOtGq753RxOg+Y/Pj6BJy6+rZfaNnuRqkrtCy6Ux08fQFQI8D\nDjqYhMRENq7fSFqzloCLimpNWEyh4XAwXZWxsbF0O/ooRl9xacG6Zd/R+fDDuPj84Vx58YUpUGNN\niPo7WKwOjnAgbQUFReRs3lp7v8MEU2PRsFq7SkO6Xu21X70ucbTSOVnkrETO+rfPLf5jglnqTGuh\nHl8QS52xDnCrWQRjzZgpb3wCuyc/8e5Fj09g4ldLQb/t3xb0S9fgb7HQKaVyDMmbZ9CJBMeKSBel\n1JIGPM0JaCIwUEQuRJNIL0aFoMaEUuptESlHx/OxuaBYbcrfxezpU7hg+Nl8MGkyE958M+AYqSzX\n17RxDYSz1IHN2lbhvD1gXJFY5JxkfGyu4IZAh/6n+/++8MyTz/vvHdeeN3fRd8TG+CjcuYuPZnwJ\nwDuP3smg43pd8NOKPy6g5paYg3ZThsdfISxc6Zjl+hURGMyUUuOB8Q02lobqqKEhuiZoe7RauFmj\n6C3jB9iH6PFvt9B9hw6INtGQGniNaqEzYVgbrkcTURNdgc+fe+Kx09t36MjirxfSf4iRQFCpCUpd\nsl+P630sz774CitWrOTyUSO4fNSImnE4EKdIEZbU2ZCamkxllUOliKqKoFYDHX/kTOrCVaZwQjgy\n57TPSupAx9XVh9SZsOuLWQPhXxt9tknoAJ4WkUvR9315kJfavy2GTin1gYhsBe5FT3wfU/eQB6f+\n14hIP/TcsRgtK3IIuvLJX4EtQKGIjBw+4kK2bdnC99/VJDlWixuXm9oxlVGSOhOhsqOjJXKh7mun\nfY73s/E9nCCV5QzsfQxvT/4CgJWr15IY6+PioSfz0gO3UlFZRayW6GH4LQ/WnPv8q80/6/sC/o/F\nHkvo0DX92qKTGCag49/2kbm6419toVNKNTdciD6l1PYG7v6v0KG7kRoil4MueTcMPeffv2j+vNMf\nePJ5Hr7nNvqcpJOlUmKiIy7KE+u30g0a2J8XXx3Pa88+yYC+zqK+oYhZJJNCreMd4m8CLHR22CeM\nCIlaKFJnt86FI3PBRIXNNnZrXaSkzoTyxDiWhFAlxbVI3cMfzrY2OcNYdP8iCQ4hJ39rpQgjJupM\ntOW5MWJQK0XkAXT91RL0fFdvF7PxHEkM06wDMARo0/moo/ni48mkp6dTVFjIKacOqRmjkSgDFuLm\nQOoCvlcQUmfuc95ePyIXCtG+pAGMf/Ih/nvb1SQlJBAfFxtgYdxVvJvE+DgO3b8Ny//U78lHdjgI\nEfmeKBIi/o3YIwmd4WPuCPRqhGDZfyv+7RY6swxZY6BRLXQiYrXKxSilyo3tt6DlTGLjExI4qtdx\npDbJ4qN33uKcC0cBtaU0wsEkdZ07Hc7qX37Q8XJ1cLNEYsULSeyMSS6ohc4JFqtdKCudFVZ3a7iE\niGBEzr4tGLGzkjrdLpDU+ceKJUjeqq4fJknitF5deCiQ1FlRLCLH22SP/vZarkrXBb4WWBq2cd36\nXwPc1VD9iUh/dKhDsbktM6tZC1N5RQz6XVFRzuFHdOGpV8cT5/WSfdftHHSwLgFbWlpCVVUV1SJ4\nRB9n3nd2cmSSulrbgxA3K0JmrDYAkasLzO8glWVkZWbo89tKcJ45+i7mLP4Br8dDRmoyL4+5EZfL\nxenX3vsCWl+2PRG6KUW0sHBjwl2+r5ZrOAwFBu0jcw2Kf7WFrpHRaBY6EWmK1sgDrbFoZRIxQBmQ\nmJCYyNSJb1BZUszT993MRReeT1JMDAleV9hSYHaYk4uZ/FCXN/BoJgnH/g1SF9JCZ0cDB25brXPh\nyJwVwYidSerA6oLVk0Et9xuBsYpCzcRnT4xQ5aWIL5aObVuw+a2H2LR1O5c+9wFJMV5+3bCN3F1+\nw9xMEfEaCQKwh9RyVUo9E75VDUQkA61osB4tNdToYqoikoUWeR8LfIqWvSoAFn2y+Jc5MRa9wliP\ni+mfTSYjI51dRUUc3aUDbdvtz89LdYjgrJkzSU5KJCMjg+uvu46bb7qxdsa5g8sy6AuQQxv/Z3vG\nahgiF07qJ5gsUa172CbJEg1ev/8myisqyExLIT42hvKKSmYs+h7gZbRhYp/LNQj2yCxXpdQJag+s\nL7iX419voWtENKiFTkTcInKRiChqXETx1olLRDqhY4LWAUlrVv/BuKceZ/i5OtnxjWefCEvmQsWS\nKU9soOSHxxfVEi0cj3F7SU1NpmXzINWpQmThBWYI2r6L0TaUdc4kXuVVKiSZqzSEnc3FCnt5MGtf\nZlt7BmzA+N3eWpmvtWQobJmvKQlxHNKyKTPHXM5Zxx7hJ3MGtdwM/GgpE7bHVopwgojEishodILD\nN2hrTaEhIt9Y5+wtIpPRMXFjjc056N+uCTC5uqw2yclsmkVeXi79unQA4IHHHmdT/i7W5Gzhhptv\n4cGxj5Cbm8s9997LrFnaqhpJ5qu5P9x9FzRj1XJ8YJ+B90gwBGvXUMkSqqyEFk0zWLdpK2k9T6dZ\nv2G06H8On8xdBPod5wzgkQY52T8QeySh24dGwT4LXeOhXhY6o/TYKyJSZJC4SuA1Y/cFQKw1rd2w\n2n36ymtvZBbs2r323fc/mFuyezfnnncu115zDetyNnPLjTfUInNOMh3hEgTMB7jT8lcgwEIXUORE\nTQAAIABJREFUgYxCrYnNNs5w39ckZk5ELpL4unDkDmqIndmulqxJrTHXJnWOxd0tn+N8Xi4Z2J1J\nN58PQKuMFND6nYcD7Yxme3ItVz+M++NMtHTOiWgduf2UUk2A89LT0xf06NFDTfrkU1VYXNJg1joR\niQXmo6UlvkSHAR0LXIUOdbgO2FJdXZNvEmvcczu2beXTD2rUNYp3FbN44Vf0730s8fEJFO+qKRhx\n6mnhCwREUiO1VjkuBxLn9KLT4PdyEOtcNKRv+Rr9fjygexfuueJ8DmrTEuA0dFZ/xJ5FcQmeOG+j\nLu7Yv93I7cee6nLdq2C88bYD1jplkxnm+k7oShU3o11lFUqppva2QfrvbBb6FZE4tBBhT2AnsA2Y\n5SDjYkejWOhExIdW8d76V9a+3cNQZwudce1ko5McTDwIPORUmsgolzQZePOss8++G/RkATBzxgzu\nvONOMtNSa50nlOZapFmfdrdQsImgrrVWnVyvqekZVCpCErjg/TmLCgezzFmtclZEQuScYG1nlS8B\n7Y61u2FNF611rPYkCQghS2FmwMbEogyr0QlHdeCArHQuH9iN296eZjY1L5C/PYYuHAzr2wy0a3g4\n+lmzDkgUXSfy86U//cz48W8w6aMPGTAwUk3lsOftjSZzAKcqpT43tvuAK9F1RZOB+zNSU962Hrtr\nZxEFeTvo2ec4igoK6HJ0VyZNfIfNm3JY8+dqHrp/TK3zlZaWEhsbaBG3Jkj4t0dSfiuIW7UhiZs1\ngSpaWBM6gpUzu2LYKVRWVfPjb78zefZC/lifA/CNUdZzr6rl+ldiH6GrB0SkPfAcMMCy7QhgBbq2\n4CvocmTx1DxEAeYCn0d4jg7AEhE5ErgUuBAdQLwA/cbdH7gaLVwZCscD/xVdhD4RaFsPIV0rEbnH\nss3e7FGl1O11PcdehPrG0N0D5KEniknBiLHxm7+Edp3dh1afp7CwAIBlP//MIe0PZt36Df5j6iqe\n64RwxK8mWy+yicNpQrBrXlkrRUTiyg1VGSIckYPAGrl2OBG5YPF0dpmYYGXBapO6mooSQePpgmQ4\nWrNeTVInIpx8dAeTzF2LfvH60Thkj4ihCwYR8aCfcyZeA6ajKwUMBTaIiCc1NZWCAn0PxMfF8/JL\nLw5Dl5T6Qym109anAC2VUo6kQESORkscgX5hbmbNDjYSkl4UkRno5Ih+bpeiqlr/X3O3bWJg105U\nVFTw+sRJXDJlZkBt5ccffoBnn36KBx56mFtv1uVeb73l5gAyVwsO2d9B25jjbCQi54RIYueidcmK\nCKPPrbFc3vjYOJ555+O3RSQbaFXnwf7D8Y8kdIaGXTdgMDBTKbUgzCF1OUcWmrjx6RdTGXLyYHPX\nT+gKBOcBzF/0NYcf3omlS37kuD69AbYopfpHcaq0ozt3Ij4+7sfcvHzmfPohaakpvba503p9vb6A\nYV3a3EeIC9wY59PoWnmz0eTzv/UhcwbGUiNeeiraStUXOA5dF3cuukbqvwF1ttAZcXFhU1GNye2F\nrl27XvjFlKkkJCT4mdqWzZto0aIFZ59zDhPfq3HzNBSZsxIhJ/gJSISEz4RzLE6pZb+P1IxMKpCo\nArijscZB6ISHaEhcsDZWcuekS2fVrTMTJcwkCcAvZ2JPkrDDnvXqgI1KqcmWz3u0hc5I3hDDKn0U\nsEIplQd+T8VSYOcui/vy5ZdeBF0146C4uLiOzZo35457s7nuqsvNnywVTQQBRqFfpBTQAl0G0EQ3\npdR3BMdmYCFw9YCunRgw6CS2bM7hx28Wm7Vj+fbrhfQ3LIbmNXDHPfdyz31a1/yqK69k7erf2X//\n/cFC4mtqEdss1hFY0oMRuWi0F4OVBAyLCMhcJNY5J9w/ehTPvPPxZuBOophXxCV4Yhs3i9dTuue8\nE/0jCR1wO3AFup7rMBEpBM5QSm1uiM5FJBn4D8Ann0+hT9++bM8vpEmaWSmJx9CK5Af36dnDf9yr\nr73GxRdd1DyK8yQBE4ecOJD92rSmT49upCXFs7Mwn1OHnsxPv/wGNWVzLg/Sze3ootQXo8usfA/c\nJiKzlVLTIx2LA9YY6yGmOwLtonigHn3urWhUHTojlucdIHHK55+RGB8LlgoHOTk5xMXF8dSTTx4B\nLIuPi1UApbuL6xVP5ETk7GTG1FQLhVCELxzJy9u1m5ytOyIL2G5EIheKxFVWgSfET+BE7uy6dOZY\nrNmvRgJsgEZdOFIHtV2vPo+bu4cN4IH3Z022Nd2jLXQmlFJlwCLb5gfQdVnfrKys7IKOB5+GfmGd\noZQ6MyYmRl106RU89tADXP+fK/6jlHpeKZUvIm3Rbts3HE7XSSm1LNhYRGQpOszF79vdtGE9b77y\nAod37kLuDi1xOfyCUXTv0ROo+Z+bpL1mm3DggUaFtirnl686ZbbWkchZjwlH6iJ1t0ZC5iJBYnwc\naAI9iH0WuqDYq5MiRCRGRK4RkQdE5EhL9tYa9NvbCGAjOpj2fdFFxhsCtwD33jsmm779+gHg9XpR\nSolx3v+hH5ZLn376Ge66626yspoxYcIEROTYKM5zJvDn7df9h+FnnEqLZlksXLSIjIM6s+TnX3jp\nibGgH8ihRIkGAk+gH3Z/UpPVtivoERFAKfUimiQurE8//xA0mg6d8fIwBZ0ocWpSXM2/2qWqcKkq\nvl60iHOHnwPaAnuRiMSLyGnr16xGqiqCLsFQLe5ahMgpKcC+L9hi9ue0+GubBllS0zNp0ap12HbW\nzFVz7NYxWxMVrAkPTm3sdVhrkb2qwMVpW2UQ46j9fOY2c1zWbdYkCb0EZr6Ggul+lZhYVm7aTvuW\njuG6e1WWqwnDWn0TsBb9HHMBjyilBhvbu4qIpKSk8MiD2bhcLtAB9SYORYfKWNHNqLsaQOZEJEVE\nnhYRJSIr0HHQZiHS9812Bx1yKEd378H/nnuRBUt/4/Rhw2nWvEUtMmfVhYzGgh5RZqslwcF6TwAh\n70GnF7K6EEET0cqUBLPOqfJSu6W5Azq7eV8MXRDsFRY6ETn4/WfHrux5ZCeaN82kurqadz+bwX6t\nmtPhoP3pcGA7Jk2be/efG3LeRMeYzUSLSU4HrgF+Bj4DnhWRF4GfLVpMdUFL4Kobb75lnLnB4lYZ\nhI5ru1gptWF3SakCuOXWW3nn7bdZ8+efXx0/cCD33HM3ffr2C+dq+xR4I/PgzuxYpXU392/bhkH9\nevH7mnUMGdiHCL7HWrTLNR+tyD6cMG+hkUIp9Xp9+/iHoEEsdCLisf4/RWQ/4MNLR11w1NP/HYvb\n7R6mqLFqlZWVsTFnEwUFBdxx++08+NDDx6Fj7J4DYid9/Ak3XHtN8PM5VEywP9zrmhAQKUwdNie4\nVBX5BQXkbAo0rIezCEZrkbMTuGAIRtIiaW+34JmWOeu5rZa6mm0OJaL8rljnKhJQo02nyktZuWkH\nh+znaNTYKyx0dhgVIMajw1sOBa5USr0oIi3QzzqA5e0OOJBb776PAw88iDNOHvSaiCxEv/weZelu\ngFJqjtN5RKQ7umwYZ541jJ69ercfetYwXnnllQ7z5sxix/btZ/fuP4BefY+jz3EDTOIIwLIfv6fa\nJohtjaULOE8QK3UkVrBQWdzh7hMrzLZWkhmZpc4gb0a7aF2tAIuW/sqrk6Zy9GHtOahNC1wuF67q\nSlziwuUS3DGx5m/bH+15OyTS7yVuF56EuPAN6wF3WR1d1I2AiAidEZP2PToG41QRSQcmoktzrQXO\nVkoVGG1fA44E7lJKfWFMSn8C1yqlnjXaPAt8F0kpLxG5Gbjl1fc/5Yq7xtIsMx23201CXCyvPXov\nfbsfCcC9N15N8qE9+opIX6XUPEOn62JgKtr9OQJ4AfjB6Hc48H60opQiMgKd8PCwuc16gyqltgHv\n2Y/zer2MHDWK8889hwlvvsn5Iy5g48aNXwB3BytKbbgHhhbt3PWRt9kBAtCiqly9M+4JDjxmIA8+\nNY6nX+lxHPBliO9xE/oGGIzOjn2VfcKMDY16WehEJB6d8DJGRB4DVgKXoRNdHn/u0QeOElWFwu1/\nyFdUVJCSpTnksKFn4lZVKKV+EV0i7Frg3DvuvpfrrrgYt9tdp8DoYKQHQtcytcIa8B89XKSkZdC8\nSkVV0SHUWKMhcuEIXGmlTmiPjUC42ezLSuysGa/2MddKlLDE1OH21hYdtlk5TDJXIR7WbcvjwBZN\nnIa1R8fQhcEQYAxwDFojDvRL61lABfDutq1bGTb8PP784w9weCYDz4UgczHAW9kPPMhFl1xKfGKS\nf9/IkSPZtnULLVu15rKrrtZZ2DY0adqUtBSdB+dzSy0yF4l1LtJ7NtxLmYlIEnjMknTWvu2kLhKi\nGQmZKy0r48SLbyBn6w4uO+skrh377ER0WJALfV26bH8Xo+fvcGXX/rWI1EJ3HdptaV7Vt6OTDR4T\nkduMz7eLSEf0xHYZOubnC6P9NuBaEXlRKVVBYChIOJwFjJzy2lNTq6qq+Gn57+QWFDLw2G6IiL8E\nSrz+JjcDL4nIhYYw8cuGZtf7aEI3Eh17sQx9gz8oIiOVUvb4DEeIyEh03EU/pdQfhcW1TcUi0hqd\nfZoA/FFSHOjZ9Pl8XHrJJVwwYgSp6RlTgdki0lopVVyrM43JQJ6I9FdKzZHKclLifCz4aDxvf/wF\nwBxghIh8rZSqJUuilFoFrBKRX4HVSqn/RfJd9yEq1NlCZ7hUzZJkJ6Gv0RPRGX1nKaV2V2xZ/RBu\nb8BDcuz//s//9yeffc7gU4cwd96CW9H3wIPAmNLcTSvNKISaQOvgk4QTaQpm4bK2aUxszc1jw4aN\ndK10qi1fG05EMxQxdXKnhkKpwzictpmwkz0nq53VWmctDWaFNaYOTDmT8GXBqqqrifF62FlSSm0x\nm73TQmfgB7Th4CjgeQBD0mIyUAWQkJjIoe1aUbI7oIRtHJogVBqxecFwFZAzctRFByYnJwM11056\nRgZjH33Mf615Hcykedu3oaoqHeLmAslcXRMQnFyi4azrwWBef9Z+IrHUhbLORYIYn4+s9DRaNs3k\nlovO4Y6nXh0eyXEiEnEMnYir8ZMioqyZ3ZgI+2pp/HgnoSU4zP/6EGpqqY1HCy+CjvNJoHZM13Z0\nfM/ISAcmIpmia1i2Qge/4na7ObLjIRzfq3sAmTOFHSvWLHl/3KPZB7dq3mzxqSf0Vz/MnKzK1v/y\nILAcLQxZgtZ/k7JNvzNp/IsHpqYkL/zjx0WRzkwz0OVHHhORBHNjdXU1M2bMQESmAkvQD5gxwJKx\njzxCWVnt50ZMTAxGX1uBoErnhuVtKPCeiHQxtx9yYDsuOUfX3m6amf5W08z01SJyVJBuYF+liMZE\nnSx0ItK0edPMwlFnncKuFd9QuXbplMq1S8+pXLu0b8XG38ZXbPytuDJnub42qypqFiApvoaYPTH2\nAS4acS7A4LH33tGkfNu6/yvftm6lq6qiVjB1JG/X4chcsHg68xhrHFqo2Dqz31BLQlIKTZo1D9vO\nXJzOE2pM4Bz3VlpZ7bhEi1B9WM9pH6s9rs4eUweBgsNOEF8scTE+TuzakUmLf3VqslfG0BmYhPa4\nKOAry/aLzD9SU1Mp2b2b5i1ags5ojVdKlSqlioORORGR5StWKnS5vb77tW7p32evi+xzSwBhs6JF\n82ZkNcl0PM5/rijJnD1eFKgVBxcq3tVEMOHrSGA+PxrC1Soi3H3lCH5eFfW0tC+GLggisdA9iU4C\nSLZsy1JKmQ+CrRhq40qpFUbA6jy0q8+Kx4Cphks2JAyX7Ah03NsFwDzliRkXcHF4Ylifs5n/3PUg\n87/5gUfvvIErL7qAS88fxoihQ3jprfc5ZcTl9Op2FMDjSqlLReQLYIqIjCnZuJITjx9IZWUVyUlJ\n9vOnoEnkyWh18M0YsRRoK2VnYFdqYjxoc79CWyEnorNpS41+2t7/wINP3f/Ag4PQEie/osvWCDp9\nPgetszQ31O+hlPpSRK4Cvli5ei3tD9gPAPNhs21HHpedO5SX3/1olojsr5TKd+hmX6WIxkMy0FZE\nLkUnobyplPoizDEAR7ZunsWrjxhSfpVl/snZWlze+rBUbh9UVXBs1y7E+HyUlZcz+qbbANxKqeqK\nLauVtUi9va9gCBVvE4nL0gnB9ttFdkMhNz+fjTmbImobqcRIMCtcXQhbXWB31VrdsVZrid1yYoWZ\n9Wpa6UyxYTN2DmqsdG2aprNxh9MjYa+20L2Jnthn2XQbP0VLRrVbuGB+GvD+ppyNoeRHABCR09CS\nGO1799J5a2efcw49jukR0M5jyVI24UTqtm3dSnVlZVBXa52lQQzUxRpnvz9Mi3A4hI2ji4DMBUOX\ns67oD9znOeKEfmEb12BflmsQhCR0InIKsE0ptURE+jm1UUop0eWKzM83BGm3RkS+wdBnC4Oj0BPj\neiANyFy5ei1pKcnkFxYZ6838sW49K/9Yy8ev/B8njxrN4OP7U1pWTlpKMoOO68WQQcfx/OvvAMw3\nAmLvAt4FJsS1as9/79cTaV5+PllaJDgfbW206hGNQZOh93HGVWhiVmQc31ZE8o1x56Pd0Teg4/ha\nAs3QsQAFwAnG36kiYrYPtv4FePewAaffeMaJ/XnwlmtJS0mmXauWrM3ZxOIlywDuBZoa2bz245sD\nO6Tme4Y737515OskdJhBNdoK+oKIDETfXwpN4q3t04zrovcp/XuzLTeP/MKdpKUkkV+4k9T0TMt1\nXrNOzcjwf37s6XEcf1xvPp8++z70NThMROYuWzCDtNQU8gsK9XpnMWkpKeQXFpKa0YT8ggLSUlPJ\n31VCamoq+UW7SE1NJa9wJ6mpqezIy9frfL0uKCggISlFr5NTKSzIJyU1jbz8fJJTUikqLAhY5+bn\nk5KSSmFhQcB6985Cx/bh1vkFhfhi41i1alVU5zPXeXkFJKemUlRQs45JTA553tjEpKjHWVRYQGZ6\nRtTHle0q8o8rPT3w90pPS6OwIJ/M9DSKdxaSmZbGrqJCMpLiKNixlfTEePLzcsmI81CQt4PU+Bjy\ndmwnNdZLXl4eqR4hPz+fad/+wrVnDDBLxlmvw0p0xQX79r1l/Q3Qxva8TUN7g/yfI/h+TdAE8XJg\nzfc//Li4oKDAf/3n79juvy+s2811YkpKwOfMtDSqKipwuYTfV60iMz2NgoIC0lOSKCgoIC05MaB9\nWmJcrfvSfh7zPi0oKCA5LcO/PdS4go3POs6Az+k1n4vyc0lNTaUwb0etcaYnxpNfWEhaUgL5BYWk\nJ8WRX1hEekKc//lUkLfD/zxLS0kiLzeXtOQk8ot2+tepumRWZ3Q93mjmpQCx6FAQl+BuZJeraw9y\nubrHjBkTdGd2dvYo4Ozs7Oxr0dmRh2RnZx8KpGRnZ384ZsyYXSLSHBg2ZsyYZ4P0kQqcN2bMmHHZ\n2dnL0VlI64BNY8aM+cmh/ZgPn3uk1SEH7Hf57ddcdsv+bVqNvmP0pbdMnfsVPp8X6zotJZm3Jn/B\ngD69+HTGbI7vcyzT5szHGxvP1LkLSEhIYuuOXK657KL4tes3HlJSWnpleXlF5l03Xcf8RYtJTkrC\n43Hz1vuT2JGbtxPtkj0Kiwv0lhuv79fzmO7HLlr8DdRky76JViK/Gy1gvB3tli4Psi5GE7of0QKW\nX6NjrnaEOc6+7npQuzb7XzhsCIu+X4rP5+W9T6eyu6SU9JRkduQXPBni+DPQ5cn2i+J8+9bh1+cD\nd7do0aJ99oMPt5g+bephxxzTI9nlco0uLy//T3V19dXNmjW7pWvXrqPXrl07Ex3jdh/64XRn766d\nh/u8XqZ+uQj/2iNMm7sAb4wv4Hr3eVxMmz0PX0wML7/9Pit/X015ecV8dAzeIGBFZmrSBTEeN1Pn\nzsfn9TJt1hx8vhimzZpLjMfNtNlf4vN5mTZzDj6fj+kzZ+LzxTB9+gz9efo0fDE+ZkyfbnyejtcX\nw5yZ0/F6fcydNQO3x8uXs3T7L2fNwOX16u1eL/Nnz8Trq70290e7nvLJZAoLCvn995UB22fPmIG4\nvcybNRO3x3ldJR7mz9btrGuv18f8OdMRj5eFc2fUWnu8PhZ/OSvqdbD+rOvFX87C6/WxcO5MPQ5j\nXIvm6nEvmGP+bjPweL3Mm63/P3NmziAmxsfM6dPxxcQybeZsYjwups2egy8mRl8fbmHavMX4PG6m\nLfwer1uY/q1+xM79aSWbcgtm2q7fZmgR8M17wH30V6/PGjp06OTly5ePvueeey/+5pvFMZM//uSs\ndu3aXerz1Vz/5nrWjOnExsQE3h/GOjYmxr9/1gy9/YOJE3GLsOynn/D5fMycPlXfZ9Om4vP5mDZj\nJjFujPvOy/SZc/R6+gy8MbFMmzHT3856n5qfZ0yfjtvrDRiH+dljW+vxz6i1jrF8j9nG9hnTpxPr\n9TB9xnR9PvM5MG2qMT5jXDNn4fN6mT5rtv48a67/ORXjJuB55hWYOn+x/myu53yFz+vh7S9mt0HH\n5+8Xxf/vRiB9zJgxpgarI7Kzs1u3SEm85LyuHUI1qzfyd5fy+tfL8saMGfOMuU1EXsvOzn4pOzt7\n5JgxY8bZjxGRzOzs7EnZ2dk3Z2dnj87Ozt49ZsyYpfUdi0Sa5CkifYGbjSzXx4BcpdSjInI7kBqs\nxJOR5fqZUupw4/NEdGbSPUqpCQ7tVclvX+GND5/IopTC264LLpeLKy4YztMP3R201l1FRQVtOvck\nNy+fs88YwoRx/6fj8JTi8utvZcJ7H4AWiyxCv/l9WVqU3w9g7br1nDZ0GCtXrVqklIpGR67BYCSc\nzFv91ZT0tq1a+LcXFu0ko1Nv86M3mIyJQbx7KKUmNfpg/wUQkYeAW9Gxic+9++GkO6Z+8TkTXtcR\nBS+8+BLDhw+HqgpatGrNyJEX8vzz40RE7kdX7bhaKTW7asUCBQStz2mH8sTgbnuEiMjz6HvwHhF5\nC1iilHrcH3NntrcW6sZZSd6q4Qb4Y7lM2MthRSrzES2cXKF/rFxOXu4OuvXsHbA9EvdoWRCx1sZE\njLvGFRbs/NY2JqzJEx53jYvO4xK8LvFnSnpdgktVaS3BylKkrBipKkcqy5HKMqp3Ffj1u1RJMaq8\nlI078ul29YPk7ypprpQyM0LNMlduI4HsXwPR1XO+wCJf8uJLLzNixIiAZIBoZD/sWLjwK5KTUzii\nYw2ZsLouQ8WyRiJFUl85Iaur1erWd0rYCBc3F8rN6iQgbGZk//Db7xxz3miA3kqpr2o1DAIRyQXS\nDd3XUO16HNU6a9FnVw2NtOs6YfWOAno/8c7vSqmDLefujdZInGByH9vYxgAxSqk7RCQTrWyQVU85\ntah16Myr5hG0UO8lGLIlER4H8BA6cSAoysrL8caHH4yI8NucT2jVujVxcbEBZO6jz6eyfmMO23Pz\nyM3LZ/XaDeTm5dPhkIMZe+8dfs0gEeH5/z1sErqZlu77vf3ue5x/7nDSUlNYuWoVQE8RaaGU2hR+\ndA2OLGB121Yt0q0bU5KTqFy7lMxOvSko2pmEtvw4YV8MXcOiBbABnSjzYc6GDXd0796dpMRExj78\nMG63zhT78JPP2b17N+PHT2DcuBcy0Na5H4GJItKzcrmu/x1OOd0kfFJZhogcjC5v1EFEnkPHel6j\n91vi7Tw+pKrcH3dnZspGUhPV4yClUR9Eq+FmErYduXlszsmpReAiJWuNERcXiUwJaOJWV1Jpj5/z\nZ1TaY57c3oBsVye0TI7jisG9eOSDmRNF5A20XFMxe3cMXX3wfxhkrknTpnTp3KUWmYMaclMXYrd1\n61aqysvQWrj1j5mr6zjssMfM/V1kDiAjxR+7voDghU8CICKD0Ja6yPBXlP7y1b6FlFILDGNWMGwG\nOhl/J6NfzutF5iAKQqeUmodOdsCopzcwwuPWUjNwlFI/E0b7KCkxIaSuiVLKXwj+wIMO5Pc16/j9\nz7UMPuF4v9Xt3Mu0oOo1l46i65FH8uGnU2l/4AF8+s4btG7ZIqA/n8/HHTdew9gnnsHtdlNlPIRf\neOkVzj93OMnJybz64jguueIqHn34wRwivPgaGAuAg5565U3OO/1kmmYG8Dq8Xg9AqCt3X5Zrw+I/\n6ISZCUDVs08/Rc7Gjey//wEU5udz2aUX061rV1q10vG7aWmp7N69ezVakf5jEWkDvFZdXR0gSOoE\npRQ3ZD9GZkYG8bqI9yJ0otIWtNBm16o/vsmrXv0tWDIeTfIWjNTpklKxfoFhl6WcGNSQOp9bC956\nDUkNK9nzRpjg4HHXLRkhKSWVyqoqR2IULVkrC9E+JkKSZj2vndg5Wd7MbWVVVY777f2YUiZ24hYs\nm9IOiYlzrON61zmDKNy5q8+4aV/3uXLQMa+hn2F7sw5dfXATcA7A9m3bePLx/4bUhatLTeRmTZuQ\nkqxLQUZqmasrwr14BUt8CEfm/J8bgcwB7NeyGRcOOZ7WzZqw4rPX1aFDLh4I/OiU1Cd6wr8e/dx9\nz/h7b8bLwBwR2YSOwQ5nFIsIEbtc/yoYCRYpaI2hQ4D2xlKBtmw0QWfAFqHNlAehiekuo11B+bZ1\nqd8v+Ylxr03gs2kz8Hl9eL0e/ly62E8E7dheuJNWBx+O+XuMvuJSxtx3H4mJNa7f5m3akV9QYH7s\nZwgY3wh0AV5QSi00vkMyWrvvd/Sb4FizqHQ9f5vuwNVo2Zh5wIdoy1srdFzBwUqpnCDHHoDOwN2n\nQ9eAEJHR6ESfH9HW6vuBuLEPP8wNo6/yt/vxu8X0HDAY4A2l1EUi4gK+/vDpB7udfnyfkMWp5333\nEwMvu9X/EbhEKbVaRBLRk3LTqj++KbIeY2bLBrhYg7hflSfW0e0KztIlkWS6BpU1cZgbnYiZSeB+\n+m4xW3I2MOj0YUHb+o+ppzUuGlIXCZmLth+r6LDXFShGG9TlWlmOlBf7Xa6qogxVVqJdr4bL1SR4\n1aUlJJ57FzeefCyPf/6ViMhgdJjGp3Ua/F4Kq/Zj27ZtWfGbo6RLvTDpww9IT0/nuL5dBQJGAAAg\nAElEQVR9as4bIZkL5nKti7vViczZXxaCZd4GWOcamMyZuPie//HOlNm0zmrC2k1bvwdigePQXr1R\n6PnNhS5i0BUd5tICeCUil2vbZoumXheRvF2dsXpbPj0eGR/gcjXOvx+WcDPbvruBTKXU9cbcPBM4\nQikVccKHE/bU0l+/G8sKNGmbi7Y+HYWWB+mEHvuh6En0N/Q/fhc6e/CFo7scwavPPM6uXcVM/mIa\nvXt0C0rmADIzMlg0eypnX3AxG3I20efYHgFkDuCD997mxFNOo7Ky8iHgLRFZjlbzvw94W0RWoq1g\nx6Nrug5CJ0M82BA/ihHr8o2IJKEFl4egs2U3AFeizbjBsM9C1whQSj0rIrOA74BcYOjiRYummNIy\n5kPR5/MTq93GcdUiMuvn31Z2O61P15DnePmjKaDDHL4BPlVKmcxlFFq2YWfVigWOcXh2+ZNg7le7\nlc7JGme31IGzjANEbrkL50pNSkmlyiihVKttA7tTyyqroyJ1JupC5uyE0E7mnP4OBuX2hSzebkJE\nWPTAlQx5bAJPiPTkX2qhU0oViciVwAvr1kVeNCcat2lWVlNSDEHi+ljl6lNTNRyZC2aVs443GjIX\nLGwk1Mvqi/dez0v33YDH48bbeVA3dAWm79B6tlPQ0jTV6Hn+HjQRPyNohzaIy4UnNrL45Gjw1ar1\nfLVKS4/m6QID0dYX64kOP8N4OV+DNkh9X59x7amEbrBS6keH7R/aPlsJSrHo+n7HWBskJiZwwTmR\nBUUe2fkI/lj2g/+zfSrq1bMnu/K2A9y1c+dOps2e2+qQ9u3p2LHjk+Xl5bwz8YO2u4uL6XREJ3r0\n6HnAhx9+wLvvvMu0aVMLaUAYLP51Y4kU+2LoGgGiy+Jlo8vRHK+UWly2U1txrW+4h+7f1jzke+O4\nTkCP1s1qSjLlF+0ke9ybfP7l11RUVlJRWUVFZSUeTRj+p5TKFY0uaGmdrp0PPQgzsUJVlAXE2gXT\ntLOTOsDR9WonE6b71Y4KBz2rYC5Zk7iYlrpYjyuk1W1nYQGbcjbRIQoyF6krNpJYuHBtrGQu0tg6\nK4IROdMaB4Glo5zgpNAvvli/Dp0VHdtkMe6y0xn2xDsfoXXXcqMe9F4OQyLqhaD76xnvJpWlbNuU\nQ2XpbqTywCBtzPuudpSMGQoRDNYXKgjuUrW2t8LuQg5J5vxtAslcfaxyAWPz1lAQQwJtBbr8VxEw\nH2gNNEXHPV6BdrXWucxiQ6HXwW3odbAuDvTH1jxemfdj+C8biBXosLWFRpJOexrA4LJHErogZC4k\nDBfWTnTGTEhrXEMgKSmJs4bWEEWfz8eoC84PiEFqt187Nmzc0KjjiAL7LHSNg6vQ8Q+jlFKLwfmh\nuOr3Veamly3i2t+cf/IAqquref3j6dz37Buc1OtonrjpUibOWEBxSSkdD2jL4GOPpt9lt+8wrun3\nscRbvPPIHQGDiYTU+RGE1AH+MlNOxC4c7ASv0iaWC4ExdVZSZ08kSEpJpUXL6GKFw5HEaPoJBZPM\nRUvkPDabmJ3IWbfZS0fViucKQT4kThezscfUDTriINAvg+cAY6Ma/D8D/gDkjesDLXSRkLlILG5Z\nWU38Frqa4xyId4RJSnbYSV2odlaEjpVzIHNVFY1G5uwwihLcA5yKlvU6CT1nHYL20i0y/u4ITI/6\nBH8hRORdoC+QKSIb0F48L4BS6kW0JfJ1EfkJ7VK+tSHCsvZIQldH3AUcCxwnIvX+YRoCRTt3UlkR\n3due6JqrfZVSOxp4OPssdI2Daej4h+dFZK5Saj3UDiRumZlmtncf2LYVrz58Bz0PO7A7wC2PPc9T\n73zCoe1a8/qns5jw+RyqlaJ5ZhrFu0tJTdITs9vt4sqhg89ukpbKDaPOxu12EePzocpKAmp5hiN1\nfiudOT5bnVi7tQ7qRuwgkNyZxC4aUrezsIDtW2pHEsR4XCGtdCbJCkbsnEiY1d0aiqSFssrZyVoo\n2H/PYGTOaq0DAuLnIoH4YgNIXWVxKTNuOPeOq9+exrrcwkFdWzXl5ANakT1/idvizv/HQUQOvmjU\nqJVpaWkMPvFEbr/tVjIyMmr2hyLHURak37p5M5WlJUh7Zwud/biGJnXRWOX0GP5eMmeU77wV2GAk\nYILWe60FETkx0n7F5cKTENza2RBwx9d26Sqlzg11jDG/n9rQY/knEbp5aOmGV3xN2x7jpK1UsX19\n0FcaX1qzkLNV2c4Cm75X6NiGhPg4N9q9FvEbsGFl7IAuk3ZxpMdFiH0WukaAUuoPIx7nOWAY8LhT\nVlh6YhwVa5bgqir3PwS//WEpPUdcC0Csz8sfG7QaTlV1NT2POJQNm7cxf8kvrFi7genPPcBxXTsF\nnFt8loSHMKQOdKKEldQBju5XJ7ipCLjmvZZK8ZFYC5zcshXVKsAFayd1UBND50TQ7PFuTgQvEutZ\nKCIXKj7ObBspiXMixMH0wKxuVmvZqIaQvwDo3DqLp88awK5dJZSWlvHk/CUA00VkmFKqINzxextE\n5Fzg6ZYtW/Dz0iVkZmYG7o+SzIUj082aNqlVUrIuMF+swFlGJdxLVjRETn+OjMw1FJHzHHGCiMiR\n6OfnacCFERy2r5ZrEPxjCJ1Sar6ItEMToYki4gNi0CWzpgKTy7c5B8AWlZSTKXIz2j9fga7beqdS\nak09hnSu0Zc97i/Ud6g2YgguEpGL0Jafa5RSK+sxDhP7LHSNABFphQ5uXQlcICLPlm/+o2a/IfoK\nBJA5VVbCD7/53bB8/MQ9DL7mPgAGHdOZwT2O5JReR+HzenCJi6ZZTcOOxYnUAbWsddb4HT+xMw8K\nQ+z8zepJ8KwwiZ1J6qCGuJXtLKJgW039eCvhslvf6pLQYIW170iIHASXGQmGUDpgEGiVs+4PcJU1\nkPRFbnEJZWXl9N+vBUdnpHDouI92oOVw7mqQE+wBEJHOwKVorcYBd915Z63qRE5kLthvHKlVdMu2\n7VRE4Z2xW+mscXRWUgfh9fGcZFbCfceA7xWCzDUUkQOoqKjEq+u2n4W+5l6P0EK8r5ZrEPxjCB2A\nIZb5jIiMQ9dNLUFnmQ4GFm3eupXmWVkBx5Qr4Yhj+oBOiR6CtmRdA3wlIr8Ay4FbS4uC6fXC7t27\niYuL88ftlZaWgp7kL1BR6sIopQ4VkdOByehs2RXQILp3+yx0DQwROQmtOA+6vFsCMDtvxzYy0lJ1\nG6e3W+MBeO7g/kydt5gpC79n47Zcuh12MK/ddRUHtGpWKwbUWnQ95DYbqYPQ1jr9t02rzvx+4b6/\nZdIJRfCscNKzqyE1hlSKhdiZOnROFRgisb5FEksXjsg5nceJyEVS6Nx+DATGyYUkcoarFSInFqGQ\nkRBHhfF9PS4Xcy84afjp789k4VnH39nro1kxaDmeadbqEnsTDI/HEoD1a9fQpEmTWmSu1jHRELkQ\nVr1mGWkkJyc5t6lD5qqd1EF4fbxgVsdQVjl9XOOTOYB3pswBLU/WIcr4sYgtdOIS3DENn+Vqhdvb\nuMLF0eAfRehMGIrLpjluCjBFREraHt5tAPAxOrjyG6XULp9IKrBOKXWOebyIXIPOgmqFrr25LTY5\nbQM6I2w2up7rT+g3i8vRBYa/QcuG7EAHbhYppRbUcfwf62FILBA+CCMy7LPQNSAMLSuTzJ2KrlHc\nDjh2+e+r6X1kjfRQsAdicoyb/VroF4xL7/8/PvzvnRzYunm9xxaO1AWMyULsAtrbyB0YE0SIychK\n8Ew+FyMEyKAEQzBiV7ariILtWwIsd6GsZ3bZk4hcrhGSOHDOSo2EyIUTCg5H5KywT8AB+8KUkLN+\n04KKCkorKvxK+q2AgW2b8+bKtQCp6MSJQhFZhPZY1LvW5F+MR4B5eTu2942Lc1aVCCf6Gy2RM7Fl\n+3YqKoMk85jH2+6lUFY6+1ihdthPOHd8UCJnGZOVzDUWkTPxf29PAri3DskA+yx0QfCPJHRBcDfw\nNdADGAO0F5GHgQOw6bcZZt9lwDIRmYF+uCUCzYETgSeAw9ET+hh0xs3daBmAG9BVHeqdhaOUKkW7\njDFcyAcqpX6rY3f7LHR1hIgMRL8InKiU+kpETgY+N3Znoa+N/6KzBvvuLKwJQbI/FO0PwhsvOIPx\nn8/m1pFDObWP1kq0ZyXarXDhtgeD3QVrjs+aNBG2D/sYgpA8J3IXzGpnhZ3YpaWnYq2IE4qghSN7\n4RDKEmeHE5kL53YNRuKsx4bTBgv1P9Lk3FkLzHqtmF+paXoK5aVluC2lkf7T7TCGfjAbdLjIBvTL\nyqnAk2jB178FhjxQJvrFtAXwlbGkA48CbytVy2R1GPByXFxcX8c+oyVzTgQ6SNm15hmpJKWmOe4L\n6C+Mtc4cl5OMSV0zcp2InO4vPJlrCCJnQ10SGPfF0AXBv4bQKaXK0W7MyQAichha8DcHnV4c7Lgq\ntGUuF231WwyMERGPtfaaiLyHJncTlFK7DL0widbl6gQRuRNDhFBEtgDPKqUeirKbfRa6umMH2p26\nwOIK/RnobGgn7Qc8b+5YvmIlJ/fu5j84VJ3WNs2akD9vYsC2aImaE5ysdNbxOFnrgKjInR+WrNlQ\nVjyXOzJSZ8XuokK2bd4clFhZK0/URQfOCeFInL+dzaoG4Ut0RVMUHULHOem2zv+nWhZaB026Hbt2\nU1ZSBlk609MT62P/Fk3o364Fk1asvRn4Fi0d8RjwHxE5TCnV8GUVzDFrj8QxIy+5bG5aWhrDzj2f\nZT8t5dAOh3HjbXfwxKM6v6xZ8+Zs2bwZoJdx6PhBgwePP6zj4WRlZTF3zuw2SqkNwLvoWOba5wpB\n5iKxygX73U1s2b6DispKpKrmkWutNR7Qr+V+CZbx2hBxk8EIaiQu1oYmckops4xhS3SVnWgQuYVO\nXEhM42a5WpPT/m78awidHcaDKWLFaYfj7fZ0M4HiZRE5D23hW47OfKwzjBp2JnlrDzQDJonIm6ZE\nRoTYZ6GrIwxXk4jISOAN4Del1BGWJjvQE18O8NMrEz/h5ssu0Mc20kMxHOkLRubC9utg4VG2+rC1\n9ztkzRIYg2dKoURqrTNj7NLT06isqgwgPwGiqhHww2A1ZCM5PtLM1GBELlwSRKiC6P7tEViKAtp7\nY2qssUGuEzeQ1SSN8uLSWsXLb+h7JJNWrD0P/dLyH7Rh9hXj76tDnrx+OA94dfyrLwPw0fsTyWzS\nhHVr1wTElH70yWe0P+RQ/+flvy7j+WefZfQ11/HtN4uZO2f2XBE5Dm1Vf3b79u00aVIj4B0VmYvC\nKmdFsyaZtbJcA+SC7OewkToTdZEzCThnGHL6V5E5zxEn+P+Bxpx2NzpkaWYduttnoQuCfy2ha2go\npcpFZB7aLXEN2tw/rgH6VSJyKvASsFYptUp0ZtBjQDRF6upkoRORJsBuI+Hk344P0YTO/pRNRgth\npgNMeDw7pFWurojEchcpkXNyvwbtM4gbDyKIwQuSNety41hizE6MCgvy2b5lcy0tu3CIlvSF6zMU\nMXNKagjVd9TWOCuCkDnl8RnWHe12Nf+vqqwk6HWTV1JOeXkFsRkpVBaXUlmq/8/7ZaWDTiZ7C51Y\ndjE67vhEEVmolHrHeXDRwxCT/RKtIQpw0cbcotddrhpr66/LljFr+lRiY31MfOdtEhJqSjJ6XMLh\nh3di3IsvAdC7Tx8eyB4zBbhNKTVaRL74aNKk86684gp9vnqQuUiInAnTQlfr+1pffCJAQyS/ACG/\ni9XFCsHDQ+oLg8gdgA5PaQGcYoQVRYt9MXRB0DA+in0wcQ5QiY7pALhMRFLq26lS6nO0LMZZxqbH\ngJ4i8rzxJhoJorLQiYhXRJaha+deEM14/6lQShUbBaEPtu0qAg5CT4ArunaoncdSn4ej+GJDkjmJ\nifMv0UJVlNV5AU32zEV/1jItUqUXqiq0DILfAmDEglVV4FJVuFQVXkM412MpSG+SpIy0NFq1bBEQ\ns2ZfnGD2GeniBKdzWNv73BIgM+LUzhobZy7m97da5KwxckGtKhFq0Pnd5t4Y/zVhXkMSl+D/u0lm\nOs1aZOGOicGTEIsnNgZPrI+Y1ER+vfviHScftv+JwEFfXnbGQXFez8gPhvbPykqIfXtAuxZq3oUn\n1zuUxMCNwGEHtT+En1evZ13uzterbPnVhx1+ONfdfCvXXHcDX33zPa1at3bsyPy9Bw8+6Rrg6tLd\nxWryRx+d997E9/Vv8BeROdAWuoy0MDF0Ic7XYLBdN/77Esu9arHKNSKZOwFtWZsH/AH0MdzidUHk\nFjqXq+bab7SlcbNoo8E+QteAUEptBUaiSVB3dAzKMw3U/f3A/xn6dCVAP3RM32sGsYsDEJFEEblQ\nRJ41AolNRGuhW4MusXK5Uipo3cN/IxziIpui0+/fUEod6nCII4IRNfsDw/HYepC4hoJ1AoBAS56f\nwNksAXpdQ+qgxmJlTzTwuYXinYVs2bTZv9+JgDmRvGBLNMdYYT9vMKucvZ0TiXMictbfxw9zMg4x\n2VstPVb3nJ3USUxcAKlzpWSQV67YvqsMiYm1kboY8Hr44lf9/vdbXiHHtM7isW9+4d1zT2RHaTmf\n/JljWlzqDBE5GP3ye/usRd+RYiQR1FXTz0S3bjp+9c8//2TAgP78uXo1f9aU3mt0MgfaQpebH1zq\nyhHW/3ewJdp+DFiJHPy18XJl5eWgvVVXAa2UUrcoperjwthnoQuCfYSu4TEHTehaoDNeu4vIOaEP\nCQ+l1Fy0O/dOYKRS6k+l1KNoyZQ0YKPh8t2ALqFyNVpXz0S0MXQtgd+VUi/Xd+x1gZFTcszfce46\n4Gv0/+bWuhwcLYH7K0mcKitxXALaOFjs9N8WUucnMZGTOo9LSE1NpVWrFgHWMLNdNNY2E6GselYE\n6zOYVS4SImfCicjVSniIwmJjJ3UmsVOeGO2C9cbUEDtfLK7EVG2hy2pKVpMMfd0ZpC4mPQVPQizN\nm6Sx7pHRjOz+/+ydd3gUVfv+P89uyiaBECAJBCwgVVSqgiCCDUFBBesr2Bv2gr2jrxVfxYK9F2xY\nwQIWVEKRXqQKiCA9ISSBkLbZ8/vjzGxmNzO7s5sE8fvzvq69Jpk5c+bM7M6Ze55yP4fyyI9zWZlf\nSGKCl7u/n82zpx/LD39sBJhYSw/EGnSssYKa1zASIrnAb7rhOrp368add99NYmIivXoewdx584Ao\nZM7musdD5iC6hS7efmMlfXZEzrTKib+8hlWursncxm15DL/tEYBlSqmJdZEkyL8xdI74l9DVMYwf\n7GPA7WgSNQItdmzvJ4it76Voq99AEflLRC5TShUZdeMOQxf8HYaO3wN4VERuEZGBaI00WwvdnryN\natWiOWryFxOUiJxrWPbGot2Iex2itQEDwCwjxmafhYikAZw56Fj8K6Ztr1qZazthxUPC/i4rnBNx\ns2sTsi5a3GAUkhJO6gB2FRWxZfPm4P8moYqUTRqru9UNKQw/ZqRs1UgxcnVJ5KxQ3qTgB6qJnf5U\nEztPg4wgscvfXcb2PRVBkudpmBFirWuYnsbYCwez4L5LGdm3Kx6vl03FJZR7hM+uOB1fYsKQidee\nVZg39qa4HtKGPNTnwKGxSr5YEX79k5OT+fDDD5g2LZdPJ3zMrF9nc1Sf3q502EK2RyBdjq5xA24s\ndHGTOhdwInL675pSSrUKCYkwT13/6Dj2z8mG2OK9o8G1hU5kL7hcXcQh7y3s0w/LfzC+QNdwPdoo\nSfY0ulbdqZF3c4WXgGnG32nmSqXUZhFpgRY93gy8ja4y0QOdgdkFSDISLJaiy6IdBLROSkqieXYW\nrQ48ADSRSwDqpr5QDBCRXmhdot7GqgY22cT7DEQkE8gDOO34vixYtoqLbn+Yp++5geOO7FGzfR0Q\ns2iTR22SMepBY8oWNQRUbVTwzWSJjIwM9vP7g0kTVjg95CuqnNuFbwtHXciOQCiRAxduvjqE1WIn\nVTVlMMxRZ2VlURUI4GnUtIb2oRfwJidTVa5/T8d0aceERas4vUcHvlz6B3ed3IczunfggtcncvWx\nPXj4ptjHKSJ9gPuAmyO1i6TfZ4X1O9h/v/144+UXOf0crVpyQPOw2q0RyJyjFIzNd+aU9W2X5Wrb\np+VYbhMl3PRlN766THxwmsus6xMO7peC9la1UkrtietA9vjXQueAfwldPUApVSUiTwCPi8gAYBxw\nl4h0VEqtrGXfuSLyFDqYOE9EBqHn30bA0+i6hXnAu0APpdQ7ACLSBp3cMB1twSsFPgLW7diwenWS\noaWT3CTnFnTSRQ4wvzZjjQO/GstXIFjKbZ+EiJwKfGn8e+b6Tds+ueN/L7F7Tymr/thgS+hiPkYc\nb37WfdySu71F5MIRroQP+qFs1qhM9Ai7iwvZskVb6KwP8nByZ0UkUhaNsEVCvZK5eIPiowjTOl0l\nAXaU+aksC82ClZQ0VGkJKqkMVVEWJHatUewsLWfRxjwWrN/CgM5tefaCwYzKL+TYx97mEZG+Sqnp\nMY6+C/qB/xzwZIz7As7xdlJVyUmDBjLumbE0CXN9RiLTsZA5xz78FWzbutW5UkSMxwZ7shfNwmdH\n5moTKxfLC2kgEAAdH/lrHJUgouHfGDoH/Evo6g9voInJl0qp40XkVrQw7T1KqZdr07FS6mYRWYee\nCP8EtgE+4Byl1E9GsPJXwCqj0sUkYPpHb7x0/7AhJ9n3aSzLC7a8O+7l17j5znsBeojIJUqpN2oz\n3hiQAcxFl1ObvZeOGYSItERrYQE8Z5dSb7hYrwbGpDdI5Y9v32NL0e5PBl9+KxedfjLj3vuUc04+\nPr7juyBwoZpwkQlbULoiArH7u8hcJFhJXUZGY/a3EZKzs9LYkTwna04kQhgtxu5vJ3MRSJyTNQ5C\nyZ1KSCIzK5tARVnQXabKS0MsdZLkCxK7zCYZ/DrmBm5+cyLFK/9k2LMf8dqVp3N278N4+5qzuPyV\nz3Pfu2k4px95GKnn3OmWNScDHyqlKrcU1nx3syPfsQgziwiXXXxRZFFeV9UWYremNsvKpFHDBtEb\nukQs7tloVjmI7b6Px7OQdMgxANdjSDnVMWLLck1Ji96uNvgbE9PC8S+hqycYVrpXMFxySqkXReQn\nNKn7UClVVMv+x4nIi0AgPNDU+P9GQ6/ueLQw8dvr1rvTIb7miksZOOA4Dj38KIChItIayFNKPVub\nMUeDcU3amxU2RKQdsD8w3aj0Ud+4A7jW+HuMkcQ331iXAzRFq9NfCDy46ceP7vMlJzFpxnz2lJXT\nIjuTAUcdQZOM9KgHipW8ud1uR/IiETtzsq6Lt/X6iCUpLNzJ5s2botaCBXc1VeNpa0W9uFm9idGJ\nhQOJiyQ8W6NclKlVZxwvr3CXtiKlpIdmKCf5UEm+ILkziV1mso+3b72I3t9MZ9Srn/HZ3OWce8zh\nnHh4J75q0YwzHn6drcWl3OI+BcwL2Mo+RyNzVpjfg9/v55efpjJ7zly+/+EHCnYWUFUVoHuXzgw4\n7hhGnHMmiQQcBxPNZRkLtpmVIoz9aysQHA327mB7MgcECXzEPp3cqhHuc0+bniIiB6INDR2VUjGm\n+rrCvxY6B/xL6OoXzwGTRKQxMEoptVJEJgOXA/+rbec2tQvDt68B1ojIVGCm36ULQERod9BBoEUg\n16JrOU4HnjVKpo0DrlZKrajF8O2Oa2a1ekTkYbQ0SwXaHXNXXR4r7LiiNK4DrhORVHRyyVPoGMRZ\nRlM/8A1wnFLqJ//i7+4D6HFIBxqk+rjmgSeZ9PKYmv27JDpOBC7awyBUWd7ZgmetIFCjj1q8ZYaf\nnzmGYLal6S4ySEl1FmZ0oeSMjMb4/aHJEtGInbVtONzs66a/WMlcVERxnYYj/DfhdC2d1guQmdWM\nqkBVdV8JyXjCqkzUIHYVZVxxynH48XDG0d3xNMwAoEuHDH568haOuuExbn1DDnY5N/jRVroQuHGL\nh9e+VUrxxJgxPPjwIyHtXhj7BOUVFbw/4VOefHYcj9x7J0MGnqArT9hUTKgrhFvowglXXRG8aEQO\nnC30dqQu0jzgNI/ZzFv/A+5XSq1y7Kx2+DeGzgH/Erp6hFJqqYh0BT5Dy4g8hY4TOyTijnWPAqBy\nw1/OOo52NQR3/LFs7eCzz8fj8TBzzryBxurL0USrJ7q0Wa0hIh50ibQPw7e999YbSdffdPOdIjJW\nKZVXB8dKADxGZQ/vk5cP8wOc2bcbSUlJjBzSnwcuOJX735kY3Oedu0bSs+uhtG6RnSBJvlOBUyvn\nTgzGHlVUVnLR6YNZvHI1A/ocHpOlKl4S59TWjtyFWF9cuGHdwonIhY8JiJmwmDAtdFa4lbawg1MJ\nMbf7QE0yt7dg95uwErbwxJJo2F5cgr+8LJgdGyQ1EYidpKQhpSVcf/bJNfo7oGULbj7nZO545ePH\ngNNcDOEX4FYRuX3zzt1A5BJqgUCAJUsW8/PUqeTnbad79+6cePxxNG3alFNPPY0fpk7F6/Xyy+RJ\npKWmcsNtd/LqW++w8vfVNM/KYuOWrZxzyZX06Xk4/71jFEd060xCQv08Arc5VIow4VSz1S2cLIdu\nyVywvYsXObv5zGneEpFuaA3WC6J2HD9iq+VaB7WxIx7i3yzX/3+glCoSkdloK9NTwE6gm4ik1nHm\njy0MCZBXgYnH9+s7MrxuYEhbY5IxJ4uGDRrw3WcfcOn1twD8YLiMRxjNC+twmIcCbzz/1Bhycpqj\nPAmccNxxeL1eEhISyJ0+g5dfe/12Ebm7loKUAKcDHxmxhQM+nraQUcOOZeHajfy0ZBEf/DSHAd07\n8dy15zL4qMNpkakDqiPFYaQ3SKPHoR245+oLo2ehxkjgYsl8C89orHb3OBO74HFcEDy3b+hOlrmQ\nbS6JiNVCV9eI5sa1I452ZC7cOleXiEbiIPT6BSRynTNrCd3MZi0IVJSiktP0vQ/RiV1FWfABGZ4Z\nC9ChbWuAztHPDJRSi0TkZwz9xkiWue+/m8KVl1/Ojh35q9D1PzcCNwCvlhXvvGWw8p8AACAASURB\nVG/iZxMA8Aaqic73kz4DIFBeypp1f/Lhp18yafL3NMloxIgrr2fj5q1cdO6ZvPzko8T/imCPuo6h\nsyKmBI1avsBFemmrXhfyGx2KDpPxoRPv6gP/CAudkbD4NDq04DVDN9a6vTE61v4gtKrEJUaN+bjx\nrw7d3sFUqq1ZnwKrgV9EJKc+DyoindAEsjvwzLoNhoUuwgMofLLw+Xy8+9KzoDM6U9DWuQ+BZnU0\nRkG7dJdedtH5DB44gCEDjiU5OTn49nzbLaNASxuUGQQ1biilPga2AicC0yfdP5KHLjiFMZcMBaB/\n5/a8fNP5XHbS0UEyZztuy1tf8e4S/tqyzf54hgaY+QndVq0VFrI+TFMM0KTI7hNhv/D+ncYBVIvP\nRvg4nVf4+ZhjCY47fFsUMmclJXYWurpELFp0SxYu4IUXX6Sqyl5nLrjOwd1q913bbbf7XagEX/AT\nXOdNDF6/gHhDrltlQNl+zHZVCT7yCgrZVlBo9JuESk4DbyLKm0QguUFQw86qX+dp2Diov+VpkFHj\nM+qZtwFaOZ5kTdwJXLMxgvcA4IPx47n73ntRSnU0QiMmAokYlXg8Hk8ImTMh/gq8Xi8d2rbhvpuv\n5eQTjuGLb6Yw5MTjmfDGi7z1wSckt2jHOVfcSFVVFStWr2VbXn7IdxwPtuXlk7/T+Z03XutcxAzd\nCElSTvdxtPYmnO51m/MYDyxGy3TVF/b5GDpDy3UcMAjoBJwrIuFVhO4CFiiluqAtms/U9rj/Erq9\ng3Xo0lsYFqYL0QRpZm0JShR0P3PIQAp/n3fg+kUzl7c+wKJtHINVwePxULF9/WMV29ffVLF9/VJ0\nXFmtslCNShCXdOrYIXDYIZ0eWrdsYc+Q7YYIq/jL2C+7CWMff5jU1BSAnYaLtjZYDrwFHN8gJZnc\npWsYeM/zHNisKXNWruO+t74MaRwtSyq9QRr75zSLOAHqdfYPa3BB4pzgQPKcyF34+Ow+oWN20yaU\nyEWKmYvVRZiR0ZgWLVpGbbc3sHDRQm6+5VZOPW0obuNR7WBH3JwsceHXDNwROSv8ARXM6rWSu6ZZ\n2WQ23w/lTSSQ3NCW2KmEJAK+hkFiFyJObPN56KaRANsMTcno10LX83zusQfvc2wTCATInTaNE04c\naF09BtiklMp32i+c/IgIV1ygdeleems819x2D/u3yGH/Fs3pfXh3fAceRudjT6HbCUNp0KYbB/To\nzwnDRzLll5mmDIdrNMvKJLOx/dRe3wkS0RCJ2Dm9vIX+7zx3VWxZs+r5Jx7pctrJA8+t21GH4J9Q\ny7UnsEYp9adSqhJtBAkPQzgY+AnAiDdsJSJZcV0R83Rrs/O/cI0NQI6RLYoRgP8QMAVdVaLOISLn\nAiNTUlJIS02ldHcxQQudifhdRSupfRWJG4Cbxz58P/OmfkPLrMjZ7Vdffgn/OfN089+BkdpGgpHw\n0Be43rjReOHrXG4+/TjmPX83B2Q34aSeh7rvLzmF4t0l/LklD2/bXgd62/byedr0FO+BXcQtgYtG\n4pwIgGP/DuTOri87RLLkOR23BpHzJjpa5XR7ezIX7jKsbwudW3hUFdnZ2QB06dIFr9fZtekm2SPS\nvpFInJN71UrkTAJnJXLh6wG25uWxedu2YD/Kmxg8rkpIqiZ13tCKEyohWWfG2lhx/zP0ZNBamJNE\n5EyXp/3EZ59M2JiZnnZXZnpa+6YNUyUzPc2bmZ52eGZ62tHZGQ3H5uVt/+mwgzsIBOWFhqBdr4D7\njOL9WuRQsWUNFVvWsPG32fwx50dW5E6mTav9uPGKCwFY9OOXFK+ez6yvPuavTZsZfOHVjHnxTcrK\n3Lstwy100e45t3B730Z7CQN7q7xdf07HrjF3AXgTWb9xEx3bt63FWUbFPm+hQ5fOtD5wNxrrrFiM\nDgFCRHoCB1LLc/uX0O0FGMThFmCOiAy1bLodGCIi/erqWCLSSESGoCs+vDTm3lsBSE1J4aD9bDy8\n8ZG6Oeg3kHjGJyJyLTpu5uRjjz4Ks8Z3tHI6z/3vMY7ucyTAcTEe8wsRUSKSh45VmA7caG4/p193\nnv7iZ7pd9V+O6dqRYUd1sw2kNdcFl0ZAcXqDNJav/gM00d0lIuvCC5e7InBh7klbImh54NeweNnt\nZ+nbbgxuyaLTZB7sy+YcrGOu3i/RlsyFW5pM7EsWusEnn0zRzgIeefghRKROY+fsSBzYXy/rtbIj\ncqArYjh9zLYZTTLJzs4OccWapM601ll/O9Vu2FDLnfUT8DVEKfUV+qVrrIh8JSJ3GOEf9ueuBcTP\nQ78kzhCRt9APwPFol2pf4AzLLm8Zy6/s+nPS+isrKycpp23w88JrbwLw2vsTOP2Sa3n6lbcB6Nh3\nEB9P/JYeJw6j1CBx9zzxHIuWu0/aNC10dUHi7BBPv5HInV07p2M5ETnz3j/5hGP5esqPMY0tRvwT\nYujcZFw9BmSIyEK0NNZCHGR83OLfpIi9BKXUcyKyAPhERL7y/7mo0v/nIr6YPJUzrxz1ioh0tROy\njQUi0gBY0bVTh5zbrruCs0456T1z257SUtZt+EsHzoffjBESJWq005gN3B3H+Fqgg0AbL5vxQ067\ng1r9aXdsJ1KXCDx01630H3LGCZY+bwc+UEpFEtl7Fp1d/Cj6IXA+sEBEftrz+VMM7d2F7MymJCUk\ncESHVrGeFrvKKlm3cTNG/58AP0KEhAaba+0m+N0Jdu10FYawBAnrcasqa11qyC7ZIdK43FrlrNgX\nLHTWRAizoko0qARfhFi6yN+rm+tUGWZ5MxFe2izc/ZrokWCbbdvzUAF/sF2iRwiIF49XxwZax2m+\nnYQ/paxJFObvqXLrWlWxZQ0FOwv5acas/WbNmT/4g88mPioiVwOv22lKKqV+QccV90a/LD6slFpt\neyE00TsQowSiW4kYny+Zx+67gyeff4W8HQW8/v4nXHPxCK4472wqKivJ31HAfi1yWLZqNRfdcAc/\nffoOLXOas2nLVsTjodcR3cFlQsLWgkIqXSrkuLkPnWRV3JK6mrIpbqWUanoWQmDzW+3Zoxur1qxF\nRNKVUsWuDhQbYstyrQfh35/nLOSXOQsB2LGzGHR8uRWb0MkhJvYnjIgqpXYBlwSHqosF/FGbcf1L\n6PYilFIzROQPdG1VAIYOOg50TNdtwIOx9ikiBwFHoeufHgNMnffNRyMgdPJNTUnBjKFzJHVgT+xq\nWiLmoatIeKNp4VnGmQb8jC439kC7g1pVd2rtPwqxLCwuBi3Dgog8ihYDvsogxLZRyEqpqcBUwzp6\nklH39jLg/dRho/oopWYdD5R986KC0IQHM34u3GJnThKSmEx6gzQMbeftwCq0tlb7aOcUC4lzE29m\ntRiFPIxdkLuIiKEyQfixg+uiJD84wSnLNV49ORNupU8iSZQob2JEK13N7yA6QXdzneIlc+Y689yb\nZmbiUQH8AUWCkfFrbjPPzSSmwex3m9+NEyFp0jiDM4acxBlDTuKy88+lc7+BZwP/FZEJwHvATBtR\n9FlU6z46oS3wtblvUuPmtl9m5da1NS7AqKsuY9RVlwHVJCkxMZGbrrjIOgbuvuEqcprpcKbWB1Tz\nB/P37lTD1YRdLdfavEDFU/rLaWxusmRt72sXZA5gxe9raJiWRkFh4Qsi0hwYr5R60/VgLTA8He9S\nra4AujLS34pjenbjmJ7dAPh93V+88P5n4Rm984B2ItIKXVv9HCAkrlBEGgGlhoTW5cAvSqndtRnX\nPknoRCRtX67jWUu8ho4xseID4D+xdiQindFvqVPQk+A76MoGI8AqW5EUtNAF97UjdeDKBauU2iki\nm9FyI4ujjFHQ2nVPoV21Dyml/P5NOunXkVg64P5HngA4zjBTdwVK0G/rF6PdzJHwPdBLREYopcYb\nJHOCiExQSrkqL27nin3spbeYMu1X0BPNpeiYyT9rZKE6xr7ET+IitTfJRkzkLtox6uAcnIicHQHJ\nL9jJX5s21ZrAOR0rErGrS725eKxydtepNmQuHDvy84MWuvDjelSVLakDCyEwx+xizujYrg1KqWON\nKgLD0VJKPhEZj7a4FQBHGp8A2kJXQ/ZCRDoC1wH9jEoyOVRXcfnOEFN3hRCJltBj0LxFSxTxW8a2\nGjp0rkhctPvP4fq6JYjh5+BE7iJmYMdARp8c9xIFhYVQTcKOF5G7gPbhBN4FAug5fjXa4DEb+D3G\nPvY6lFJ+I7RoClq25HWl1AoRGWlsfxmd/fqWiChgKfrZUSvsk4QOGAB88XcPop4wAXgjoVXXsUqp\nUca6KzCsTm5guC7POqxju6dPGXAMD958zdnA2Y7t/RUhFrrgeidSFwWVW9eq2665jOLdJYvAWcLJ\nSN1eCmQBvSo3Ll8KlJlkzhwDuJ8whgw8nkVLlwN0XfjDlxzasV3a3Y8+RcMGaU8RhdAppe41bqj3\nROQDpdRHIvIt8KuInFP2fWjJ2vDs1vDYOTOIuKzCz7F9ejLusdGf9zttBD9+/j6dOnUK+oHs4uBs\nxxdhYndjzYJQEmLtL5zcmW6q2sT3xHoe0QiKHTIyMmqVURoP3BK5uoihc3ut7DJXrUjySgipc2OB\nbJadRaCqyraklh2pA2ImdlYy4d+0QlVuXK4175Ri0bJVvP/ZxHs+mDTlnrLyCnp2OYQjux7KitVr\nmTD5p9NE5D82ulzN0e6sWWj5oS3Gpxh4QESmA7crpVw99O1InXUuciJ90dCsWQ7p6Q1rbohHYDtO\nUW47C2okcucE27nZYUx5+TuYt2gxH77+IudccqWZxDIYHeryBe4Ep624CnjLGo4kIiejK/ZEhYjU\nu/CvJDq85Cr1LfBt2LqXLX/PAjrU5Vj2VUL3qoisquvSUvsClFK7ReR94CYROQB4AiiiZgZMDYjI\nMHR2aGdg4iO338CAo4+MspeGbZYrsZM6c0K44fILObT/YF4SaamUcgpyOghIU0plAliJnFO/0cZy\n/01Xcf9NV4WsS/H52F3iWqP5HuBl9EvDFKVUsYjcBtzqODa7BAlTsDMhmR6dD2H8g08w/KpRZDRq\nyMHt2xIIBPB4PFHJXDxxZZFg3c+O3NlZ7SCSdlrduAnBndUonKjs2LmTjZs21VgP8ddjNeFWONgO\n9SkmbIdwEeQEj9iSOhPhFju7Njvy8whUVZNluzq11vO0/kZquO3CS59FqYvqqaqge8fWdL/rBsbc\ncV3IsZRSTJj801jgZxG5B3jFtOwopX5GWzZq9q8t7g8B9wMj3M5t0dqY290SO+VNYmteXmiliCik\nzIlYxVtLNuSY1lCMGAhqrC/7gUCAQWeOYPCA4xk25KTqfpT6WkQuIMLLvx1EZCJwkFLqpbBN9arf\n+k/Gvprl+jVQa302ETlPRAbUwXjqFEqpEWgXwffAJHTVhaNEpLF/0wpl/Wyc+4Oa8NKTauSIs9SB\nLXM+++yVsf1LVs1p7P9z0YUnHdvXdema1BSffZYreqIyP263Z2c25YKzh0EEIoR2PWaLSBJEz2J1\nOla08XU99GAeH/eqKUkSEUqpV8zdLKtnAd2sWlNO2nPWAFszsHjQCceSndmUxctWsvbPDSS3aIev\neWtuf/AxSgyiGUkU1oSZaRiNzNkJxtrBrj+r/IX1+HbZs5EscE4yGnYZmJEkNZwkNkxkZGSQ06KF\n7Tjc7O+EeMicVFUGP3WB2pL5BI84ktokr9h+rGiWnRWUYrEjc06IRObs7tPw+75GjeHwa1pRRuWi\nKa//9vmrmZ3btX7p1P69AlOe/6/aPeNTVTl3YvATPi4jTOdzdA3qkPHURa1Wuyz18Gxvc1vzrCya\nNmlsLwDuQoMwUtuYJIwgqgC507lGhM094PF4OKF/X7767kf+2rQ5tD+l3lVKvRO5Uw0RudJwQ/YF\nTrVp8k/Icv1bsE9a6JRSF9VRV+8CiMjjwItKqfV11G+toZQqAF4WkTVo0cGF6ILwFBYVc+uDY/hl\n1hyKinfRu0cX+vToSu5nb9OiWXaNvmrU77PJYNpTWsYfGzaGxNXZIZaJ7+YrL+GZV9++QEQeU0pt\ntTnHchFZj5YjCLpOoo0hVhzd63Dzz5HGW92D6El9kFOiBDAKeNwY5w4RyV+9cVvDDgfkhJC5cKkS\nIExAOImS0lIuOOcMPv96MoXFu9hRsBOAseNepPOhnTh3+HkhB7Yjck5wGztml81od4zwh3WscXp2\nfUYaRywkyw6FhYVs2bw5ekPcWexiJXL1aYkLWqTCvgNzPOHX16kObTyWykSPsHPHDvyVlSRLIJhB\n5coiF8UaV0PQ16aCgbUUVXiBeABVUUaHltlMf2MMz7z3Kfe98A4r/txEj4Pb8PP8pZx1fG8m/Hja\nHUqpcB3PzsBvducczWKX2LxNjQtpl1gB0QnP1h07a9wL0eY7pxcot1m8dseK5havVaa7zb3x+H23\nM/bFV2nbvQ/AVKWUK4kpI9Z6CtpzAtrI0VcpZZf16TrLVYnHdUZvvKi1WkAdYp8kdHWIU9AWsNvR\nFr8r/97h1IRS6kdDBPgzoMMp549k5Zo/OPGYvkx85yU6tGmNx+Gh4lTqxbre/DGnpvg4yJKtVdvi\n0AAtmjYCHdB8MzaWOsNilg3sqNWBoiAjNZkv33iW0y65/hy0mGMHdDWLd0XkI3SWlRKRowAzaDqc\n3OcsWr+Vjh2cBTHtrHMA6Q0a0K93Lx655zbwJvLm+A+ZOOVHvp78HRdfeR1/bNjMNVeOJCOjkaMw\nrIm6Cv63Zixa4eSSdYNocV0mnEicGzdgONzG0EUjNbEQOTckLp6HrIka7u4oxA4ikztw/i6cYuk8\nqorszCZUVVXFTOJqS+CgJomzqwurKspIFrjt/GHcdv4wCop38/WM+fw8fykTfpwF8KiIPB4WaN8H\nQ3DY7sXRjRtWRPYDEpRSf0ZsaAfjO2yenRXMco01kSjedlDzdxnMTv57MNJNI9E1TaehXyueB24y\nRd8d8K+FzgH/CEInIvsDW5RSsUZHf42ulzYP+KHOB1Z3mIoOGt3vqouGN2+SkUGv7p2DgrvWm3LH\nzkJefPdjlFLccfkIkpIiW1jMydW00IVui89SZp0g1s2cfG33k85m28Kfb2nW7Zjwp8dQ4Fc7653Z\nT21JpTkWf6WfQ9od1Oueay+d8PZnX3HxsJMoK68Y8uQbHwxZsmpte+A+tKCwiXnBPnT6uK9/90NC\n+7axzllhjr1oT7l2MXgTmT1vAVnNc/j4nddZtXoNwy+5kv8+8ihr//iD119/PbivW3JUGziROqcx\nuO0zHNGscE5ELny7HbGLZqGLRORizWCNRuTckDg3WYPWfkIykGtYT6rv7fDxRiN4TvtZj7Nj21Yq\ny/cgnTvWGHskK1w0AmdXCN4tgXOCKi2hcaJw/kn9Of+k/uwo2sWw2x6n/QEtAnt++YDU/ueaF6A3\nYfJPscwzIjIc/ZJaKiKnA2xfuYCMRunRd7Z8X1u351ERcJ8QVVeIpH8IxJSZXAf4XUTuV0o5ynGJ\niI/qhECPyyzYf0KliL8F/whCh7amnIGOj3AN48fxaL2MqG5xJVqjZutpF16VrpTaZak0cAJwLJCJ\ntnb1Q1vzLrr63KHezCbuQg3TEj0c1LKZ7baobtgIb3j7t2jOmScP4OnX3+PRcceEb+4DfOdqgLXE\nAS1bsGz1H4x9432uu/Aczhiox3L4YR055OTz7hCRucA16DfA+4DnjKSUTWhxx8U5mY27mP1F0p2z\nYk9pKccN/Q/jX9G1qD/5ajIvvvYmFRUV/PLDFCZ/9SWt2nUkd8bM4D6xkjl/LdxrbuQ5YunHbkxW\nRCNv4YhknQNnC12sFrm6JHBuLR5u2kUiG9WZyDVJgBf3D2SnsljZ6SlUVXqQcq0QFavlzSRu5jfu\n5Dp1ta7UnUqV2a5JkodvHh3F8Ede5uSbHuKXhcOTgXT0HPm7dbwqITlkjrNa6ZJy2vrQCgFnoF+s\nWxqntAptECC7Y3fQFSseUEq58jY0y8lRjdKrSWAkIhdr2EO03204qbO10nkT64TU2YXolG9YynnX\n3MKESZNBZx7/NwJRMz0lDWKQNHFvoROpl0odVqiE+MNW6hr/CEKnlNpXkzfqCi+idZleQKulz0Zr\n+OxGZ8C+j9aXy0eTkobApZ4YHtJ7SstY99cmxF/uGFMQr2n+xsvOZ8Dwy3nsefEopQIQjIkQoJHT\nfm51j9xkZk2bPY/ExATyCwo5++TjwXiAd2h9AOjkjIno7DfQb/CnAa3QhG4XWsduQXi/dtY56/V7\n5LnX2F2yhzkLFnHSgONolJ5ORYUe6xVXX8vieXP46MMPmDTpK5RSiLhzlYE9aTJFYGOF9ThuyV1d\nuVTtEI3ImbBa6OKJkQsnck4Pw0hWDcf7oo6sHMExOTzYa+0yc7C25W/dRKXfj6e8Wss0krVNUTvS\nBs7ELZJ1zg6S5CMtJZm3b7+M5sOuBRiEJmDL0S/IL6jKcl2jNIzYmaSuShJAzwsZwFp0zPUUtDen\nF3A12ojQGrgTGC8iG9CkcS6a5H1CddwXaImNi7dty6Oy0m8ct250JiPtV8O664bURUG8iSQej4f3\nn32UCZMmFwBN0FnJ4fIzJt4BHoxRd/ZfC50D/hGE7v86jDeTShG5Aj2JNAYOQRO3VeHVGETkPoDd\nxUU0TnN+87Nak1JTfLTeXyujWCe4ukCHNq1Ib9CAzdvyulPtyrwKOPPwzp2yS1bNud/nq92xopG6\nuYuWUFnp58yTjsdrlesoL6V8wbdtXvx4Ejc+9kJXNElugI6x44P7rm46bEA/jLJsMeGXmXN4/NkX\nAeh8yMGohCSGnTKYhYuXMOnbKQw9VSdoHdKpEwkJCYiIY/mmcERyY8ZL6twcN57xQN2SOeu5NW3c\nGOWglWZFJCJnR+LqgsBF+j069RHRWmDpL55Aa8csdQdLW3ZDH1VVVVBaXZ0pUE9WNkeCFyORA03m\nzP0aJXk4+MAWrFi/+YvBR/XgkatHcPw1ow9f8tmrz3dqc2Bwn1UbtpCWksJ+BxwQJHW502eALsnU\n2QznMTLyzSzZ2Ua4yFYRuR5dbzYPHRN8GlpI3JyAp6OzMjNF5LAfJn9No/R011VTaotwWSJwQerq\nyEoHNr93Efx/Lmpy96NPMf7LyUtF5HSlVA0Pm1IqkkqCE/6NoXPAP4bQGQHt09GWrGvt6gH+02EQ\nu+ddNG0J3LV/TrNHIvZnebs2LXRW1CWxG3JCf1auXXcqME9EjkSfx+fzliwfduRpI1g4eUKIdSoe\nVfJIpK7fkT35cNJ3fDBpCj0Pbc/QAf2C2zweD1efPpCTj+w6rP3QK3aiLXINgTbDjj58LWV7wEGm\nxAorQV61YTMnnH0ROc2y+fL9N5m7QBfM6HRwB7KaNQegWXY2vvTGGcAjaKJ+t1LqkT2lZSpeMmdt\nU1sdNjdwMxY3ZM6NRc7ufAoLC9myJTSGzk28WDiJsyNwsVjeorkj9Tr7JCU3bcLvwZitKU792iQj\nmN/W9k0bqSjbQ+CAzOrtYQQrHotaNJKmymtVsjoEkuTjqZFncfH/3mLhyrXc8exb3HPxmQwaeTsn\n9u7OBacN4vpHx7FsrfbsHX1EV3LnLuqHtrCNReucWX36ApSjk6eOwLDaGwkSD1nafSIi1wFFRsKV\nF/Cjk7KmnzBo8NXol/GpZXtKXL/tRIprdZPEFF6OLl5SF806F1V+yvg9PnzL1eQVFPLGhImfiUiD\nOqoAFUMtV6n3LFTl2XdcrhJ7JY76hYgopVSNGdsQjZwIHIf2u5+qlFqyt8f3d0NEDkZnBHXyr5i2\n3e1+W7bn8+uiZZw++ETHNrESO+tDZNHy3+lx6vn5aOLyDFq8d8+pA44Zsy2/gCEn9OPOa6ornjlm\nfsVYqNqcWE65+FqKiooZ0LcXsxcu4atXntD9GRYHVVHGjEXLOfaKO0EnoFyhlNpS/sObun6rU1UI\nS3UIk9Ct3riNjsdo69uev1ayYUsev69dy8CBAwHYuL2A0844m8rKClb9vroCXeMVYKdSqnNRSant\nTRerxEd9E7raWuXculUjnceK5cspLNhBv379amyL5E51TeDiIG9ukgD2JuzcoGBDzsL+n7doKVWB\nAD0PbmO73WmdPmZ0UlZVXvfXxZscRnyTq+/TSn8V6adpkeIWmY3ZnL+T1i2asW6zLv3ZNCOd8opK\ndu8pDaA1WD8FrlJK5YX0qbVLOwCvWSsUOEFE0oH/Atcbq35DF2t/C3i0tGR3RCYWa3KSG73EkP8d\nYiiDcGl5dkvi7OBt2wu0kPugiJ24gIicaPQVcYIRkd69enSdmfvVJ7U9ZET8vnYdh/YdsFop1T56\n6/rFP8ZCZzD740GTPmCxxeKzUil18N81tr0FEZET+/RYPqD34dx4/unbnSbyYHuLzMaesnL+2Lg5\n+PCxK4cSKb7O3O6Erp3aM/3j1zLPv/m+jwce3ZvnH7xttLdtL35duITpn71Dn6Hnc/PlF0bMyo3n\nTcp842x74P4899YHXHXemTz1+njKKypIMiY+86F0VNdOlE77AI/HMwTYXP5DXPWiKS0r54Kzh/LK\nE//Fk5BA8a5dbNiiHxrb8/Jp0/EwWrZowSYd+zWT6tJu20SkUeHumlUtaqvXtrcRiczFa40zYbXA\n7S4uZPPmasuyWxJXG7dpJBFcVVkeMQkgpG0c7sRY4TZWzY7cbd+6lcqqKgL7N7UlaNEImb8k9vPz\nl7kneQk2YRr+kjISLGEmViqUALx568Vc/MSbNEpLoaS0jFY5WWzYlsfsd8ZSuGs3J1x5N2g5jVeB\ny+x0KpVS32NIn9hBRB4C7rbZtA1dt3o1cAHaRTugpKSEtLTqF8Z4q8BY96/LOsNu4HQ/RXomWF90\nunRsy+KVawZunv6latH3tNq+if4bQ+eAfwyhC4MZbPkjWoDw/2rd13AMXr95G1f/5xRXja0PnFRf\nMgftV624bwYMh8ON28gJvbsfxpqfqsMknrr7RuYvX81BB+xHhzat+C53pW9nzgAAIABJREFUFkOO\n71frrCM71+vY0bdzxsD+nH3tnfiSk0nrcsIzwNtKqYVmm4oZHyuPpzq/RlLSXGfXmaiqqqLboLNu\nAnLf/ujz+QA9c9oe9OVH760F+ODTiQA0apTO1m3bqKqq8gCl6NjCXcCB4X3+/0TmnIickxs1I6Mx\ngcoKR3dqROtDLa1vkchbrLIbIe1i/M3Z9hFDTJqVrFlJWuMEqCivpMx4GbHCLfHyl9Vf5Iu17wRf\nkmV9eU2yV16ONzmZs3u048xP/kdCSiqf5i7gvMdew+vxsG7DX5zcuzvH9jiUn+YvbY9OiCqKdUwi\n8is6YWIp0B5dT/YspdScsHbfAh8B92RmN/tMKXVGpH73lJbV2yQQVcokCmIJL3CyVs///A2O+s9V\nnHb1Hcz7bWgvpdTsuAcUUwydxF8L1y28+w6N2ndGYoERmHo0ujxTf7RA8HfoN6q/0GQuTyl1wt83\nyr0L45qM/d9Nl5KoqlAVUczuYdmZJcVF/PFnqJZuJGtdXeCEo3rxzFsfsXz1WtZv3EyGXbFqcywx\nWufsSF3f3kdy51UX8cCzr4GOZ/laRB5VSj3n1I9TiS8nvPLhF6Bjb3aJyNFKqcVA+l+btBXpmP5H\nc+dtt3Lf3XfywSefc8mllyr023oro4ulMR3wb4RdvdBIcCJz8WjFmQSuaOcONm3eUmc1RWMlcNHc\nlnWVtel2n0iuznCLWrgFLZykbVy3mcpAgEMbh96XVTGStPoidVYSV1VWgTeE1FWQ4EuyJXdeILCr\ngtN7dWLBi/eS4PXQrmUzpLKM9+66gpZnXH8W8G2slYNEpCuazF2mlHo9SvPmQCJaF6+liFytlHoh\nluPFi/A4uhrbY8h4dSMaDdHDDlR5KZNffJg3v5jCvN9Wfioi49ExxbFqy8K/FjpH7JOELqdZVvn+\nLXI4vFsX2rZuxYefT6Rzp4NPfO29DzdY3KzTI3TxfxHXA6sG9u7uXMrAAvPhYBK7VF8yrffLQZWX\nhrhiwdlaV1t0ateaPWVlnHLRtVwx4kz6HtEttg6sb1aWCaqiooKvv/+J/Zo1pW2rA2jSOCM48Vx1\n0QjufvJF0NIk44AfRKShUipiAokbLPv9Dx545lXQcZxTgUUichMwef+WLVEJPjofdhidDzsMgD59\nenPEEUf0nzt3bn+A98aPZ9iw06vqQ0T474YdmasLrbgm6Q2oaq7L3cVTxSC8raOWmsUCZ947VoIV\nzYXptE737Y7c1cbFaWdRsxKtcJLmL6ugYUBRpaC8sFq2xF8S2Y0cDbUhd1YCZx1LQlpKSN812oWR\nO9Mt6wU6NE5BknVWrKooo4nPB1pCo0EcQ9wIvOGCzIG23BWhNe68wGtGgfoq9HM3AShGxxt/WbLH\n/XWPNYYuFkTO3I5eASRkW5hVu0FqCtcNH8q5Jx3b8rw7Hr1NoW4TkSylVL7r8Yl4CPW0/wsL9klC\n9+37r3FIh3bB/6+7+FyUN4nX3vsQgJ7dOjNn4ZKXjdJSfdDVCHbb9/bPh4g0B+4A+qiKssER24ZZ\n5syHzJ6yctZt3KLX7SVSJyJsnje1hvZaOGytc+Fmcks21s6iYs657BoO6dieZSt/3wWUoN0e073A\nntKyX4EuSqlcEekH/CQiy8unf+Ru3GHXsLLST2rXfoej3aavKqV+EpE2aA2qscB+poXOigMPOIBf\nfprK99//QBUSTJr4J8GNla4+yJz5UNpZWMiWjesRv67XGyRncVYysKshGkLcTDJnIXB226v7cB97\n5ibmLJKrMxJZsiNs1ccttd22dVsB/kCAg5PDCFLpXqkiUAPhx01I0XNAOJHzl5SSkJYSst604IWT\nu4Q0X9AdC8HvqwXgrkCwBQbxuNRl8+ZAolJqKoCI9AS6oT0H5qcVWuR8dFpqSj+lVC44u1/dxM3V\nZe1hNy9CIeuixJSayGzciK9feJj7nn+bqbMXzROREUqpGSKSiCbA/dDXphV6bp8G/ILWA7waTYpd\nnoSn/oWF69ulGwP2SUJnJXMmpKqC7UtnccSgM5izcAnAZPSXnQZsF5HeDoV8/9Ew3kjGoQUrf6+Y\n8XHE9tYHjpWYpHihVXOLPMFeIHUqIZnwx7qrm8vpBjHWN8vK5Lij+9AypznLVv7eAu2e/1FEDlBK\nbUOLMB8B5CqlNhtBzBdZ9avcYuXqNfS/7A6At9Hfw83Gd3I4eoJ+HHhl/wNa32y3v4hw4oladzRg\nrEv0SI3i6v+kOLokrziW64pV/Dea8G+TBqlU5eTYWuQiuVOjWeIikTgnAucUiwbR3ZvV66NbsOxc\nnpH2s7OqhRA6C1Hyl1V7uNIqFQEFZTtt9i+NxxNWN0hI0Y8lc6wJPuN/4zwSUhJDyJyV4NUgd2FW\nOwMtqOf60lRb6ABQShUBP4e1mScinwJnAtNE5B3gIjtrXW2scrWJn7NDtLq8Efc17icP8NCVwxnz\nxkejgPdFpAhd6WMdMAEdF78eLfrcH53Ikg+cj5acmlLL0/g/iX2S0DmhcUYjJr7zEl9O/oEFS5Yz\n6vLz0hqkpnLEkHOzq6qq1opI8v8lfTqj2sKL/bp2OuPL/91B+Q9v2pKGYPuweDCr23VPWTnrNm1F\nVZQFiZ55I4YUna/nuLpwxKUR5E3kkzdf5Ia7HgBtNTsWWAlMNMSZPweeFZFnDFHmzehJoPrcXRC7\nQCDAyIfGce+V53PjY88faq43ZA0+Qr81vgOkb9hYM05Xqipdv73ty6SuvsYWjcyJv4ydRYVs3vgX\ncLitazVea1wkS1xw6UDgrOQtnLiFE69o8WhORM3J9enYPsy6ZSVuduSsoqSSrQW78StFm0Dd3evW\n40aCSdLsUFGizyUpzbDQWcafkJKAv8wfQvJMgmeSO6h201b5kvD7KvBlNLSSunXAGLQ1qL5gxtBF\nhKE9OkFE7kVLnzxm3V5b92pM+ouOfdjfUxCZzLmZYyvmfPmpSkhi5qJlJCclccShHQ4EjrErtehp\n01MAROSSmE7g/yPUG6ETkUHA0xjxA0qpx0XkIOBDdLbfGXYp40DE+oad2rflkIMOCFlX8Nt0GnXq\nDVo76Lc6O4m/EQaZexLo8ukD15DiInbUfDjZEbtUXzKtWzYP/m+13jlZ62qMaW+QPJcEqEF6Bq+P\nG8u7H3/2Jfp31gMtD/IdOn5uJ/pt7i30bzC02oaF2CUddXaIWUlE9gPOAoYCnpmLV/S/8bEQveds\nY3mDUmq5iBx0QE424i9zXXw73Er3T0M8blZwToJw0s5q3CCNqpzmtlY5J4tcLETO1lJnEDmTxDkR\nuEjkzY54RYtPs90ngvvTjjxZyY9JjJzaNgx4CKBqbNsb1jmnY5jWOahpoQN9TklpicH9TYKn24Va\n8KzWu5w7nzfJQAowB10Puz4RYqGLBqXUQyLSFuifmuIL3iR2osTx1iCua7jVP4wG8VfQt/th9n3Z\ne41iqOXqcT0nxw3v3jF+uEG9EDpDNXscurD8JmCuiExEF0E/C11aZQQRqiLE8hbh9Xho1LABRbt2\n50VvHRzjDOBKpdRvBtFsDRyJ1rp7yIx9+DtgTDpPouMDj22YmlIQy/52xK5kVzHrNm2tbuOC1NXo\n1/KgrAtyV8M6F18swmg0iR8JvAR8i9Z+WwE8LiLt0DUau+UXFpOZkR6yc1A4WAtXNzPc9h+iFd/H\nAt+Z9WmD41ZqvIhcjiaL3bBkuYaTOquVzqOqCIiXzz//jAEDTiQ5NbYM278TdWGlc3K1RspgLSws\nYtOmTcDhMZE5t0QuGolzInBO5M0pXi0csRI1vY8z0bIjb9GI2fbCEvwKWlfuOzFAlZZzTwxa4arJ\nG4QSPas1L9gunOAZ34GIDEWHTnyOtrDXJ1xZ6MLwC3CaiLwSPue4iY2rSyIXT/3gvaG7aOAfkeVq\nZ9SyafMscBKwB7jIKrMVD+rLQtcTWGOUS0FEPkTXvvOjs4saALWO3jQn8u9++oWuB7fn59nzt0bZ\nxYo+wAARsas2cayIzAN6hd9Y9Q0R6Q68d9YxPQ9+9vrzadwwzZbM2d08NRIiSkuCpC41OZnWzZrU\n6CNWUhdsG4drtj6CUyu2r9+zeOlybrzzvnEzZs+9GP3bGwr8itZ/OxJdPDvziPNuYt1XNRPUjJi4\nSejv/RE0STtZKVVco3E1JgH/M6x5xfu3bMnK31eT3rAhOc2bQaK+jhs3bWLomefw/XdTyMjI4K+/\nNnDeiBGccsopPP7kU7Ro0TLYYaykaW+V/zJRG1LnZJmzwi6LNSM9FX9OM1syV1urnBsyFyuJc4pd\nq94emWQ5kTArYYvUp3X/yijHauRNpLLMX+8WuVKLxFJKkvsERX+pP8RiZ56PHdELJ3nhBE9EGqDF\ngN9USt1Ym/NxiZgsdAa+Aq5Dh5F0h71rjYtW7qs+K6KEP4uiYJ+v5epk1FJKrbC0ORloq5RqJyK9\ngBfRz6u4UV+EriXawmFiI1q/53HgPbQY8PB4OrZLnc6du4iFy1e570OktfHnk8byPGCqUmqLsf1s\n9BtclYi0V0qtjmesscBwsd4OjAJufPfuK8fbtXNTQzGEpBmkbk95OX9s2l6TxNWC1EH8iRRurHNO\nBDD87bHLoZ2YOnECyc1aNQY6KqVmi0gCcCvaEvwL0LxHp3b7OwzndHRAbj9gIHrSj0TmQEsfgP6d\nD77t3tGs+n0NmU2bUFUVoFPH9rRr34G33nkXgIYNtdbXY49o9ZRJkyZx+RUjQwjd3wk7wmXnEq7r\neLpoD6zCwmI2WYRv64LMubXKmeTMJHKxkrhoLlE7OBG3SEQwEomLdLyC0nKqqP4uS6NoW9YFYj5G\nRVUNEhhusass84eQvHCCt2DLDtAP185oyaG9gZgtdEqpPBF5C3hGjBqYkdrHQ+YiWd4i1coG/fL+\nd5e5M+DaQqdE6j0LVdkLCzsZtVZY2pyKthhjPLMyRKSZkdgXF+qL0Nn+EJVSG4Fjou28eeNfbC8q\nIatpY/J27CS7URp5BYVkNckIWWamp5JXUMjYN94HQEQ6oxNo8oCsCEtTtXstOsMoD2hmWGqygBlo\nQchngKYisidKf3noL/BctEv5R+AJtIhstP3M5R3GtbkA+G3Jxjya+hLIL9xFZkbD4DIvL5/MRg3J\nL9oVcbljT0XIfuu2FJDRIIXFq/8kMyOd/JIysjIakVdYRFZGI/J3l5HVuBF5O4vIatxIbw+73k7L\n7OzsGuut319W08ZsL9pNVpMm5BUUkNWkCdsLd5HVtAl5Owr0cmcxWZlNycvfoZeFxWQ2bUr+jh2O\ny6yM9Or2+TtAF9IeKSJjjOv6Ljrb9Rpg95hRV7D4j01kNvAFzzuvsAj0C0gA+AMtRZJniIhG+r5u\nRRfxHgOcvur3NcZv0EPJnt3M+HUOM37V4vHffTOJpUuXkZmVGVL6bOlvv5HRtCmZmZnk5+eTmZnJ\ntu15ZGZmkZ/vftksOyu4v9OycMcOsjIz2ZKXZ7s+Lz/fdhnePtI4ncaRk5UV0m92ZhPy8/LJzMpk\nx7atZGY2Zce2zTW/18bpbMvLw5fgYdGyFWQ3ahD8PeVv365/Z8Yyr6CQzDQfeTuLgt9vZpqP/MLi\n4H3UNDWJvB07yExPIy+/gKz0NLblF5LZMJVt23fStGEq23YUkpmWyraCYjISvBTsKaORVy/T0SSo\nSUoyeUW7aeJLoqCsgnQ87CyvoHFyEvnFe2icnMTO8goaKi87KyponJTEzooKGviFnZWVNE5MdFzm\n7y4jIzGBwkp/yHLH7nIaJSRQ5PeHLHfsKaORN4GiKj+NvAkUlJST7k2guMpfY5lUJRQHqkj3eCkO\nVFEeqGJXwM9GykLWJylhl6qioXj3jWWFXmYlJIaMM71UL7N9SRQX6fMsSVQ02q2vR9NUH0UFfj7K\n2wyaBAwC2oiIm/m4tssGwE4X84h12Ru4H7gM6C4iW2dPn0ZmZlPy83cEl1kZDSLOixGX27aGzrPG\nfWbOw/l528hq0oT87dtsn79295v53AifV82leR/aPXesy+ys7JD+sps3Cx43v3gPPdr2amlcp9qJ\nJe4dOBm1orXZD11CLi54R48eHe++jnjggQcaAaeNHj36PeP/wUDR6NGjZ7jYd/SQ444md/Y8UpIS\n9NKXzLQ5C4NLX6KHabPnk+JL5uufZzB9/hISvF4CSn2DvilK0anOTssHjcO9CeQ4tDsKHSN1lIv+\nSoE30EXY84115wFrgENc7H8EcCUw6uErh0+844Jho3IXrcCX6CV3ySpSkpP00gO5S9eQmpwYdTlt\n8UpSUnzB/b+bvYj12wooKNqt+1u0khRfErkLlunlomWkJCeTu2AJKcnJTJu7kJTUVKbNXaSve6Rl\nSkrI9xOyffYCUnzJ5M5eQIrPR+6v8/ClNSB31hw9vllzSElrQO7M2fr/mbPxNWhI7sxZpKSkRFz6\nUtPI/XVOcDn8jNM6/Tx9Zq+RF503avb8hX8a1zcNLeDZ4tRj+6ROX/Abqamp5C5aTmpqKtPmLeHa\nEcMGfTT555bP3339qG9yZ//p4vsqBW4f/9IzKT26HNZ/au7M7gDvv/o86Q0bMPSUwbTIac7ISy6i\nS9duHHjggUyfnktKSiorVq5k/vwFZGdnc9LJJ7P0t6X4fCl8+fnnfDphAq+98jLr/ljLqlUryczK\nYtaM6fhSUiIuU1JSmTl9Oj5fiu2yQWpq8Pgzp+eSllq9NNc7LYPtcnND+p01YzrJPl9wHLNnznA8\nfmrYcVJ9PnKnTyc1xUfu9FxSUlKYPn169febnKR/D74kvv5uKkXFxWzavI2U5CTL72leyO9r2txF\ner5YsMRYLiMlMQHzPpq2cJm+P377Xfe/dA3JAjNW/UlSQDFzzV8kKcXMtZtIAmat24zP6+HX9VtJ\n9niYvXEbyQJzNueRFFDM3bIDX4KX2X9tx+f1MmdTPkkI8/N3kuiHedt34vN6WFBQiLcywIIdO0n2\neFhUVESyx8OC/J0kKli0syhkuXhXMckeD4t3FZNQqVhUXExiFSzes4tk8YQsvZWK30pLSBIPi4t3\nkVAFS8v3kCQSsqRKsaSshGTxsLxyT3BZFPCzxl9GljeR5ZV7QMGySr3fSn9p3EsVEFZU7sGjPHW2\nXFNVigc9vvBlohKWlJXgDcDi3btIDgi/lezGUx5gemEB3+wqAB1bu9zFfe1meS3auzPKnLfRcVCz\ngb5GuzPRiVgdXPZ7GnAnWorrNPRL6EX5+fmp69dvYP2GDaSmppE7Y4b+/buYH22XM2YF59ng0pdU\nPR/PnEOKz8e0X+dW31/JidXzut39Zj43zPvO+lyZu9h43qzQy/lL9XHC2y1YRmpKSmh/ludP7rzF\n/Dhz7iTjerUGjho9evQDRMADDzywf8uWLS+9+KILIzWLC9OmTePd995jWm4u06blMm/+/NLRo0eP\ntRz7YKDt6NGjJxn/dwb2Gz169LeWNsOBGaNHj/7L+P8C4PvRo0dviXdcEsWqG1+n2t21Cp1gsBmd\nVXSu1X8cYV9Vtca+zJuda+XVT77h6oeeYecvH5HR7+yogTpGMPsraI2yftHPJjqMgPo8IEMpVSEi\nhcBDwFPRYvBEpAdaU2+QUmp+xYyPg1+IG3X6qGMz3KlbdhQye/lahp3Yr8Y2p/8BV+7XcJerSgj/\nv9p1Gs3VWts4uz/+XM/AU89gw8ZNg5RSUwBEZBg6PmET0Lty0ZQQv0FVVRW+Hieb/zaK5G4VkRw0\n0T9i7bxpjZWCtkfoa/rwPXfw+DPPEwgE2F1Swm03Xcd/770rmCRhmv4vufQyPvjwQ0y9qSVLl9G/\nbx/OOuccBp40mNm/zuKt119j3aatmLVnmzZMFSNZJtnMDt+xa0/wtxKrkG+ssHO/+sO09Nwc220y\nBABVlSxb9Ts7tm+nf5+etokQbio9qNKSkHVuXK3hblbTxWrnXnWKYQt3n7qR9HATz2YXGxdpPyc3\n59rKUgIo2iWm6nZVtQsXLo1Q4zeWfVKi1AO2Q/g+KV5934wp/It1/jLyA5XeuoqHNqxuR6It9D6g\nI7qSD2ivwIVoYleklLKL0Q7vLwWtu3aisaoF0AhYDJShw0FMXAx8VF6wZU/c47dzu7rMIrd7Bgf/\nd1FfOFqcnHV7+LPH2/FoM1P5RGCKUiriD0VEevfs2XPmTz//EvGYtcXq1avp2qXzaqVUe8uxjwRG\nK6UGGf/fCQSsiREi8hLws1LqQ+P/lUD/2rhcPdGbxA6jPtu1aPG/5cBHbsicY3+V5SETtzVO5ryB\nfdm/WSZLVvwetR8jNu4VYEJdkTkDfdBWoEoReRxIBZ6PNIGIxh3oG/lKpdR8CPtBx1hn1A7BShHl\nFazbmme7rT6xN8kcwEGtDmTMQ6MBHjNc6CilPkdPks2BDxK7DuSZ96pVC7xeLz++9gQ+rZjfI8oh\nXgbaAb32b9mClavX0KPLYVx76QU8OvY5inftIiXFx6vjnubBe+4M2dEkMG+8/hq7S6rn402bNtK+\nQwcmfvEFrVq3Zvh551NSUkJ+vv6+/H4/InIj2hS/QUS+EpHhJSXVhL++NezsCGFtZErcorCwmE1b\n3c9vbmutOsFt6apYyJy/zO8YTxf+cUJlmT/4sesnEpwSEYoDfgoDloQFb3yPg9Iq5YrMme2sH7ft\nYv0UVFRRWhVgg7+MW9P3A2ponMcNpdQipdRLSqk3lVIvKqVuQD9Ln0VLJc1HzzWZ1v2MOf8WEVki\nIpeKSCcRUegMxxMtTeehY62S0OE/HuAmY9ubxnHqBdY52m4+tr68xxJrDdHJXAz4J2S5zgPaiUgr\n0XXYzwEmhrWZiA6xMglgYW3IHNQToQNQSn2rlOqglGqrlHo0rj4sRA7s38KTJcDdF5/BqKdeR0Sc\nq79rfAT8pZSqa0HJUqAZOg7rNqBUKRXNz38u8CgwrmLOl59Uzp2oKudOrLencmpyEq2bZ0V8wNnW\np4yiAh7JOheRoLkkcyrB5/gJb2Ni6CmDQWdRnxNso8m1QidAcMv/Xmby9LnBffod3pkRg48H6CEi\nBxvl1sxkFSvWA3OUUqvxl/P0S6/T98gjOOyQjlx2nj7cA3fcwoVnDwuWPLMLXi4qyGfunDls27aN\n408YwPRZs+lx+BH0692Lo3rqMlfn/+ccAoEAw886A3SJoLvQcRcfAucf1rEdV152Cd9PmUxlZf2X\na4qV1NWWzAFkZKTTsnkzoH6ypP8u7O1KDHakLt2TQIbn/0ZZTCdilyIenizeCLCotscQkYEioiyf\nnywvjcogdmejs+QHocNvEJH/GMQtgI6tPgx4jerEqpvCDtXcWB4GnGL0/TTVSRaXnX3BJZx2znl8\nP/VnVqz6neUrVrF0+QrKyqK/pNveR5b52E7s3TqvO5G6SIStDskc/AOyXJ2MWiIyUkRGGm2+Af4Q\nkTVoQ8HVtT1uvbhcawMRUf4V00LWRSucXVWyi+uefZfXv/5lFnCSUWbFtm/gVqXU/+pgnH2AVUqp\nHSLSCPgSOAjYH61ntj3CvoeiEydOUUrN8S/+TtWwLDgUBo/X7bp283YmzljATWcNCrH8uXG7gvPb\nmPXmdu1qdUHmaiMGKf4ykpvkHI+eNHsppfIARNdfPQh4FTgQuL1y0ZTHQZ/fG598xRX3jilFlwUq\nQL85t0VnZk8ElqAn6YeUUvcWrJyrmnfuw6dvvszZl15NWXk5L4x5iLseHsOs776iTesDg+dmPZ8D\n2rRne161tbR37958PeV7mqTXrBfep+/RVJSXM2/unERjkqg+T5Fs9ANkuDHOCcB4YJZSShWVlIbc\n3HVBsNyKITsdK1aX64zZ81i/cRMjhp4Uug1nt2u8Ga522a1OLle7bNZYRH3DEQ/BiyZLEq3PeaW7\nqELRKyU9puzTaK7ZaNa6+Fyz7r2lVkvjjbt+b41OTluulOoZaT8RaY8OFQK4RCn1prH+PqAT1S+I\n49Eu0SFot2tDpVSlpR+7E1yFVne4Ca2TCdBHKTXLsk8vtNTJSrRLcZDNGHPR7twxwGq0mHojdLye\nF0hGqyV8bGbJVuzcanvBI7leAdtqLNGyyyF+z0+0kB+Ly/US4HU3Ltcjevac+f3Un+Maj1usWb2a\nw7t1CXG5/l2oNwtdXSFqbExpCeKv4LmrzgZt5vxBRJrU7AnQmUdP1dHQZmCUaVFKFSmljkGTBE8k\nMmfgfuAJpdQcc4XbN5h433RMC1043N58sdTrg7+PzJn7G8LQ44FZhrgwSqm1Sqnv0W7u24AnJDkl\nOGlccuYQ0EkUndDVTF5AZx8fDkxFx7SMRZfoIb1hA47p04vhI69DBJo2bsyK39dQsqeUwqLQdwor\nYdldUkLzZs04b8QIhg0bxqxZs/j5p6nsKNpF36NDIwEO69yZ9z/+hHAyZ5zPdqXUOKVUH3RMzxbg\ndWCtIWoZEXl5efz8889YXbfR4IYU1gVxBMCbqC10Oc2Cv6GQ35XxAmG+VATLBZli0ebS5gVGkmv+\nxhJ8ycYyybJO/22Wkgr+n1JTCsGqmWaWrdL7RBcTSEhJcPw4IdGXUOPjts+ElASapCbTNFWfc0qS\nN+LHihSvp8YndLsEP3ZwGyNXWhUIfmKBuU+Jvwq0J2QPNa1gdrBOkG+YljjgATSZ26SUEqXUeUqp\nU9DC+MlAhdVyZ+ljOXrOuEop1VEpdaRJ4IDulr8BEpVSc5RSJqHc5DDGO9Dx1rcrpV5TSvU0PGGd\nlFIdgIvQc9vXIpIa6WRVQlLN+dfGUmd3z0F8lro6wj5vofu7sE9b6KKROfN/c12grJS7x09m7uoN\nzFj5Z70prhpm9ipgu1KqWYz7HgZ8VzR/SvPUMG+HWyudXduIx4xgoTO3R/o/uD7MSufW3WpH6OqD\nyIWMzSBQr731LteMum0bMMzyNjwRrTX3OUDVylzHm0ASkyks3sXFtz3IVSPOYMCx/S3jTaJ41272\n69aP9IYNeHXs45x63qWkpqRwVK8j+Prjd0PONcRNbFyHgHhZs2aLRAjXAAAgAElEQVQNGU0zadSo\nEZMmfsnWLVtompXNJRecR4eOBzP8/PO5/+672hhVLCKft/bzHou2Kj5VuHvPE+Y2k2gppRARRl5x\nBe+99y633nobox94oEbdyIDYu+P+H3vnHR5Hcf//16jLsmVJtmxLcieAARfAEDqEgCEBAgFCCT0h\nQIBQvxBIQg/NkAYJJEAgAQIJnVBCJ5BgesByp9lgW8Vdrmp3N78/9vY0Ozuz5e5ky7/H7+e553S7\ns7Ozq93Z974/LUylCyJ0sRQ6YNrb7/DV4iZOOPqIyA7bsrM9UlLhKAmFw4IjdF+6XIMi4iIX0+17\na9vo7EyyR/+BWfdvU/ZMJMykzAWpdbkGaXye3MC9nc2LgL2klItCN1AghNgLJyH51QA2NSh9v7kD\nnYrjX3sBTraFFTKLikNCiFpgrZQyK6krHZR4H47AcJSUcoVNpctso6t1BqVObdcbSt0WhS539Fot\n11wRJ2rNad+BEIJrjv4G21/0O4QQ2+USiBE4NilT6VxGQ4QQRSb1JACnAPdU9Cu/0hl3z3GKkjJf\nRFAmWXB5hYfU6W3DoCp0agUJE2xZu4OSDschc+btw8mcmiAySikcgB+ddjLnXvzTHwLPCCGuw8lV\ntxdwRWZY6YnCRuyqKgfw1J8cXqQ2EIku2js6KCouYuCA/shkF0cd9i2+NmY0l/7kLF8/tlqvX/va\n1wCHKH3n8CMAJ8ihdeVq/v3aq/zr+efAURqXAg9IKW/1dZJG2szyejrz+IKq/v3qpJStK1avle99\n+CFdHe1857BDueDCC3nzzTcAOObYY41FwN1SZTpyqUObEoWZfcnC4sz/URaVGX0Nq2oGkUgm0u2d\na0kke2o9O3WfSxGJzkzi07jO2uoRJtZ3ZJQ6GxLr2506oR1dTt3Q9m6fCpdoT3hUuq71/jb5QNw+\nVVI5KFlGqp+kvL/3mlRJnK76gdfUO6C8yLcNQDmFBrLnJWjtSelT61SCpyp/Ucjdeq1NXUEpOObI\nyCUhXUgppwHThBDXB83vUkqZtgitl1JmmI8QIptKEW6fscerbZ8QQpyGk0d1UVo1fBU4snNly1rj\nNsr9BDhztXtvKgmHZVFJ5p5z2nd6Eg6L0vLMM01PYJ9HRFbopOz9gLHe7j8O+iShyyUFQWFBAQfu\nMIYHp82YI4SolFIaL+A8YDWORL8tPc6tUXA4TvWCK00rg4iaidRB8M3itjFFubowEbiYpVhiQVfn\nwsicKdO3u8xE7HRi0LX0q+c//LiRPQ8+XI0OmyqEmIkTTfZfKeXnvn4iVMAoKy2lfugQVrWtprJ/\nBf+45w+G8XQZFckwFBUVMeXgbzHl4G/xq9/eNuSF558bctpJJ9wihPhQSvnvoG2llIvS2ck/EUL8\n98677ubyn17KmrQp+Lbf/Q6Afffdl+HD4weN5ULqwuA+NACnluuS5d71QQ8YU3/pa1l2dWTuIdO1\nnWt4gInYOcu95G5TQh1He2oDiVSKfoPKPWqij5xqymKRgcS5xE8nex6i53PZ6iFgLpFTCZ6J3NmI\nnU7mADY4yyrPLB7eTpZRrlFe1qWUqwyLs6nlmjekg8DOE0Kcj+Nq9AhKkJh1O+Xey7yAJ7t9L1Nu\nG/VlCvC8UOlihWc/hqpGMbA5RLluEvRJQmeDLThAN5mcsMt2PDhtBjhm0d7C2ziO6IcLIea4DqgR\nMBsnlxDgfaPJLFOVOV2100id2wb8xE69WWw+dC56k8ABVnUuiMxFKdmiqjxB2GWnSXz6/hs88+Ir\nXHLVDeCkAGnDKQU0VQhxzfP3/o6X/vsOjz7/Kt/YfTLHHnIgR0zZL7DfgZUDeOb+P/LpFwvYe7dd\nzCVSAmBTwXQUFhZy2OFHcOLJp/DQgw/cI4TYOuyak1KeJJwyd/8956wzW3Gi5q7aZ599zpu0445M\nnjyZY445lkLs6oerpuVTqYui0rkEuKpqoKPQKQ8XZzsvqYP8q3XZQiV2iY5EoB9cbyCqaje4o4yU\nlEZfPZWI6WTUJX/qMWb2rZM4BcEEL1i96yF8BUZSV1FY4CN1pRQwoaA/jyZauVuI3aSU5gSnvYOs\nFbp8Ij1HrBVCPAocAv45V38BjqLWme45wKfWgdn/OsdnzRYfOgv6NKEzRbR6/u7sMPq/TB5VB04U\n6fE4vgS9gR/jhKbfiFMr9O3g5hmcBbSsWbeeyv6O2dNE6lREIXVuOxuCFDobwkhetnVcexs2893o\nEcMZNXw4O4zbhtnzPj0VJxnodTiJr3/w2/seZnBNFS/f/wfe+XgmP7nmVspKS9lvt50oLSmBYvO5\nWLNuHQub4yX3FsluH2FVCZKpZqqUkv5OTditcBy1r/L1K8TFODmtfpk2GwmclDo/klIuB87f0N5x\nnrfj8PHaiF0upM7tN8j0umrdepqWKgqdQTUArxk2syz2qHrutaLSsoz6r8M1txaWlZDs6Ooxv1aU\ne8yxQMYkm0+YAjKsbcvsynDHmjV0dnRRVm0gvdVYxx1E/sDrO1ik5elTlTyV4JWnqbRrpi0vDDKz\neoMw3HYVhjx6JxQNY2ZiHQ93tT4qhJhoy4DQC9ikCp0Bb+I8q3yuH+rf6r3nIXYhap2N1EH4882G\ngJex6LVcga4soqrjoLcsFdmgTxM6Fbo6p5M5PeUAzgPvr0KIB9WQ8ryNR8p2IcSPcNJZHE90Qrc7\nUOiSORf6RR/kTwd2UmeDrtCZ/OiimF5tfnQi0elLW7KxEFWlo7CYI749hSO+PYX7HnqEl1574/YP\nG2dSU13FkqXLaVm2gt123IFPFnzFjttvw42XnMOJF13J2vXrOf24o7jjhl8A0N7RwVsffMy0Dz7m\nzFNPpLJ/f7q6uvnkiwVss822NLW08te/P84vLvUG1qVSKVauWElNTXUmR10c/OPhv3HXnXcAMGHS\npCuvuPraK2+47poCHGFpKs5E5+ZYPPigb30bYF+cRKQ3CSE+1SLrYsNE7NwgiFzUOtWErj5gqgdW\nkUgkPWTN84ABH7nTkUt0lEvsCktLSXZ2UlRRlnl5DNwuTe4AD8EL3S6AgAXtK5s+h3V2kUpJygYF\nBEWs9z+I9WNJlHlTtKiEzyVsqg+h20YneICP5GVD8HR8vbCSh7taX8CJUP9hYOP8oU8odAr641gk\n6sDuz+su04ldmFpn8qsDIql1JoQo61sUOgs2G0IHZl8xdXLVItM+AAYBo3Hy9fQG3Joi59FT+iUM\nS4DPCsftk4mIcZ3xsyF14I+ANSEbhc4GldSZVDqjz1iy22h2tU0svY0fnngcpx9/ZOa37Org3Y9n\n8MzLb/Dg0y+yqLmVhc2ttHd0kkgkefxfr3DHDb9ASsmEA4/iy8XNAFx/+92c9L3D+dvjehJw+MWl\nFzHvs8+5/NobmT3vU5pbWhFC0Pjh+4wZPSrTLqrZ9d133qGiooI99tqLnSfvyjP/fAocX8zbcOpJ\nArBoyXLWr1/Hyy++wCsvvfgETt6qGcCvhRDnuCXHcoGN2OXTBAuwct0GmpYsN5pjIR65CyN2Jj87\n9X5T/0MusSsqKyXR0elT7XSoBM+0Lg5MBK0wgAjaCN3almV0I6kYVmMlnKVV/Y3H4ymBphyXXhrN\nJXGq351rwnWVPJXggeOPZyJ4rok2mNxZcQlOOp9tldQgvYm+ptCdgBMQtl2UxjqxC1LrbH51YFbr\nMvvQXY2iu0ds8aGzYLMidGAhdVqagfTfk3GSw/qc3fM2FinXpCsKTFKXCyFOB5615KObDgwTQgyS\nUq7QV8YldRCN2IX50GWOKYcACVWlc0mdSHb5HrDZBgkEIUilC3vDBOe87jl5R/acvKNn23XrN9A4\n9xNcbzUhBD/6/tHc8/cn2HrsaLbfeiv+894HjB09gsMO3J+PZs7ltBOO4eRjjuT3d9/Hjb+5nW22\nGsuSpcs47FsHceO1V3rIXBzc9oc7ue0Pd2Z+n/rDH7LD1ludglNBYi3Q9vp/p40oLy+nvLycE046\nhfPPOfsKnKTXe+E4RX985513cPbZ52SlEurQiV3UHHQq8SsuED4TrIvqKkehA7NpKIjcuXvwPXQM\nfnZRXB50c6yu2pnIHfSkPslGfQM7WdP7s0XnFlWY7926hiEkUymPQhekPrpWEHCSr7lzrk76TGQv\ns0wx5erBFSZTrariqcuiq3cOpJTrhBD34GTvPy+wcX7QZxQ6IcQ3cerL7oQTkOcsj/AybSJ2+lwa\nl9Rl9h/Tv1VBZIUuJWWvm0S3RLnmCNfcqk8+amb3eWd/762DHnqBqQd8PUVuVpfgsTi1117WFv8Z\nJzv5BEP7LiHEW8D5QohrpaHeazakDoKJXa4KXZDpVVXpTKbXDKnbiCqd7osVhdT5yAHQv6Ife+2y\nk6efyy44m8suOBuAex9+nL888iRr161n5rzPeP3pvwOwYOEi/u+KaxlaW0t7RwfPPvYQ++61p9NH\nwLjDVC7VH6R68FC+Wrpqq9KiAtatXVtaWFQ0YMAAb/W7tnUb7vq/Cy9g+vSPV+y//zf54513cOkl\nl/D6a69z22230ZBFhKsJUVVG07F1p2SGCKrEDmDlmnU0tS71payJcr2oN73tjOY6MbhHbCN30EO8\ncjW7mgibTtYKS/1tTEmUAVYlmulOSooqewid+rfuQ1hKTwCaC6+FpDPTLqGR2CCS55pso6p4roJn\nM8/qKC8p5KVtdpb/GDeJMz6bhRDiio3gS9cnFDohxOCGuqGv3f2bm5lywDdbSXjnuqhzr66QZ0Pq\nMn0ZyF1MbFHoLNgsCZ2LIH+WwgLBD3bchj//by7Hb+RxAe8CuwshRlgSWv4Ep0zTQOBCUwdRSB2Y\nFUsTsdMVuqzy0MUkdaoSp5M6XaXrmSwUFcYQOGCDSZ2zBUcAVlLXs200NeX0E77H7jtP5Fd/uo/j\njjwiszyRSHLAvntz5mknccQhB0dSOFevXk3dsKGBHKOlbb23nFdxMZ0dG7j04gv5wY/OYM+99vZt\nc/Otv+KpJ59gwfz5HH3093jggft54YV/MfWWWwCvyTOfiPNmbFPsBlYPoi4prQqeizCS555UaXsA\nWVQ7XZ3TzbHqfWkjdy5UkqciLO9dGGnTCVvUROFDhg0jmUpR0L/KvON0JTp1jikY4F1WVDkwQ/xU\nwqcGqbnrbCTPRvDAS/JcPzwTuQNzTjzVn6+2uIRdB1bx+soVPwB+Zz7ovGGTK3TppMf3HXfk4Uz5\nxj45v1Cb3B4yqngAqXPaKWbX3APptvjQWdAnCZ0+mfrXl1GI/21Rx14jhnLPR/N6aZSBeBcn+OHb\nwN36SinlfCHEJ8AXQZ2EkTp3GQQTO4ANnUtZ0LoskMh5xhhA6jz7dZNIlpZnRepAV8Y6siZ1ocek\nvlmCj9S5Y4zVZ2EJXbKAPXbdlYO/2ZPiZOutt+aFxx/qaRfSz4IFCxi/w/Zu00OBL6WUc9z1QQms\n33prGk898Tgtzc0899IrmeVFadWruLiYY49zXmuKCwRTb7mFwsJCKiqiXQtRoat0UXzqVHNFkSG4\noq1tFc3NPVWQTCqgieTpBE99GNnIXWbbwBHbEUTuXNjMnzpyIW1hlWDcZSs/aaY7laCwtgEwzyEu\nfFVs1CC1EuVFs7TDM/4gklcYgeCpiZuDyJ27HMzJkN02x40czusrV1wkhLi3F3OUQt9Q6M4F6n55\nybmRXqjjkjrnd4mV1Dn9eomds2zjKnS9bRJN9qFqW32S0IE51DlKIl0Vc5e1sVXVgPCG+cfW6e+V\nAW2acBQ6X0SQCvc8zF/cwraHncbMp+5h3JiRsYgdQMXAKsaOiqdUByV/tKl1maim4lIPqQO8PnXK\n22KYWqerb0FJhX3jDDK9gofUOX3H93OqHNCfEQ31sbdz8df77+fBvz3EDuPHM3vWLIBHgQohxGJ6\nJq95Qojdm1et823/3jvTOOKoo5n+0f9479132G33PYLHW1mZ9VjDEMX0aptg9eVFBYL+lVUMGZYw\nEkPdTOsZR8AQjOQOu6+dizDVToVK7opK3Zef8HkrW+IWpsqZyvYNaRhOMpn0KXQ2k5hnPu5fZUwn\nlSmxFkDyinIgeCZyB/5KHG5uPD0n386DBnHEqoaRBYI1s048lPEPPd9b7jibTKETQhT871+PJAfX\nVPPWk/dTUhLdSpIvUpfZn8GNJZtsCBoJ3KLQWdAnCZ0nOaFKGkKiOQuViWDrOx6bgFPuZGOFqatw\nn5hBF95aYLy6wOY8CrDtYadNBS6bcOQZbwIHSyk7E40vy6jEbkNnJ/ObTDEa4TCZetXlQWpdps6m\notZ5JhbwqHVO2x7/Due39nCKWPbLejwmUgceYhcHa9auY1FTc2BpM4CS6mG+h4cQYh/gP+mfFwGL\ngKdxgnpKcErFnYFTlaS/vr2Uktt/8yvOOf8i/vnkE+ccetCBU6SURwGsXt/uY0Gqv1pvIIjMBb0p\nq76BJemEsomUZMWqVSxuaiKRkhkFz4VN/VNNtipUkucG0WQeTm7qBZNqpxG7IKjkLqrvq7re9ttG\n3oKIm8dvSXuISmDp2g66EwlSZdpLb9kAf21PoECv3Wyo4SkN849O8rIheGqeP12506NkwZ8MGXpU\nuksmbsvxr7/DG4uXeCfg/GJTKnTrJx9yHH/9zfV8bfRIiOn6kg9SB36rh4ncRYV2/UZWJlKy9/PE\ndedWcjiv6JOEDhTVylAXzoU+ZbuRZR2JBMALwEVSyn/16kDNeAbYBzgAx/xqQgkQiWE99trb4EQp\nXo+TNHZ/4EWwEzh9eb/SUsY2DIlxCGaYVDsTsQtT6zLbasQOQDfFeieO+METJl86XzZ0Zf9xUTmw\nmhEjRwTsv4Suri5KnYjo8cAb6XqLg3FSjjwCnKAFyLwPIIRYiUPorpJSNrW0eV9qOjs7qRk0iBNP\nPY07b//t8yg1aqMiyH/Opo7mC6akn+qyigEDqR1WB+RuOinWZDv3p5XcET1CNm5tZROimk3dv23k\nDZwHYCbK11JbeXDtUJKppFGVNirVpf29pmnlIVugWRk85Ru1uUgleHrUMHgJnhs1XNjR5Uni7Kzv\nIXfgz4fnQlfpBleXc9Vek7jpvVn8xH+U+cKm9KEru++Wqzj58CkQwUpim2+jRMBaSR0EurPkmOVg\ni0JnQZ8kdHp9OAg2s+p+KdPmfgkwX0r5994ZYSj+CdyKk9z4Bkubt4DLwjqSUnLC/10LMA6ndEsh\nsAdpQucijNi1p2DBkiALcDwEBWiIkjKfWgeKeUtT6yAasXOWBT80TZNQ0Da5vDW6WLN2LYvSeelM\n+OSzz5m42z4AbjmJl4UQRwKX4+RIPM0U7ZzGTsBbUso7oedt01XZ5n/+OVVV1YwZuxU4E12NEOJJ\n4Ldt6zZkdTwujHVy8+jTaCJz+tu0o9A155ztvcjgz6cSPJ3cORsFqHZk72tnQhQCB2YSF4W86S8r\nsqiEpWvW051IIEtj+FImlLQwaqUOlwykSV6BVtszzFTtqnc6wStKZzNwA0pMFToAY4UOE1xzbs2A\nfnSlUgghSqWUOTt1GbBJFDohRBnQdcqRh2T+OaFWkgDXl6xJHViJnWe8MX2W09gS5WpBHyV07ptC\neGkpNzhCJXUvzFsA8ETvjTAYUsrPhBD7AdsHNJsN7CKEEMnPe0oMiuJSCrb6ugDHER5wn6oTpJRr\nhRDvkM6jFMfPsF9ZKWMahsX2Q4wCn0IXkdhZ+1N/aOZYTzvDW14Uwmdrk+1bY+WAAYwYXm/so7Sm\nbihOMmmAX+GQ/PmAKrX9GLAN/CoU1W1kTf/M6WtpWy/HbLUVzU2L6e7uRkqZSpf+KgWe/Pij/7HT\nzpMDx94b0a0uoqZfCWo3sKqaRCIZaF4N6js6CjJ9FRTGU+30Eaj3ZaQ8kpagBbW/zN8GM6p7zdkI\nnIfkKQ/owUPrSSaTyKKyUJKulmbLLFPvozTRy6gxAQQPvCZaPXrYWd6j3ulRw6ZEzqpZVoWa9Fhd\nt9v2Y9hxznya5355nxDiVFvAUQ7YVArdQGA1ia5a9S5Q3V90ZNoFqHWZtpbqEqF+yi58in9Wc24s\nhS7RmxXdgWQv9x8HfZLQQXxS56I7keTlOQsAnuy1wUWAlPI/9PhGmXAJ8IiUUqa+eN+zQghRi2Na\n/Vt60ZVSylYhxNdwzLk9bS2Zt3WT6IaOThY0tfrWhxG7IL9FU+kwtX9zhLJdsXP+tqh2LtR8ZAai\nF4WUhb11hpFCHWvaO1jYssS2b5fMXSGlvAEy/18Xl0gpVwV0fy9wmxBipZTyNXVFd0qy4IsvqK6p\noaDAKX8kpfxjeh9bv//e++fohC6q/1w2fopR/eeikDm3/cqVTpSrKRo2aPtckFHuigp9tWZ11Q6U\nB1hEX7uwFDamAAYXqi+Rj8gZSJwn0lcjbctWttGVSJKM4sZQpKiZhqoeYb6IUZI6q6ZZl+C5ip4o\n7fCodoCR3AGeJMe2nH6FZSX8/viD+NfVd9cAbwkhfgG8ni5mnw9sKh+6gcBq2dleCz3Xku7+YkIQ\nsXMRVDLMWgdWRX7U/c1aoRNC1OC42YwCvgSOlVK2GdpdAPwI51F5j5TytrC++yShM0qzEbYrBBav\nXkVFaQkr17VvMjt7Ov9PiUnKT687ZMig6vNnvfgIqS/eP11df+ol14BjhnsDJ0r2DOApd/P0t1Nk\nOWJZFVFSRsWASsaO8vt5Bfn+hAWh+CL7FIIXyxk8cC/K/kwEz0WAmTYu4vjpiUQHAwYMYERDQ2bZ\n2rXruP2Pd/PYU/9Um96q/F0NpKSUa0LHIuUtQoiPgfuEEM3AHcBj7rX113vv4YRTTqOw0EemNrS1\nBfFEuzoXRuYyD/E8+9OB30+usqqKRDIR2CYIplQoLmwBImoAhkvuTKqdgFDikg1M/nA9fxtMqun/\ng0mJU/9HOuEeOLiWZNKuftrhvDwUF4gM0VOJr68eaAz1zmSazeT9U4IqTOQOyBA8F4kAclddNYBV\nf7nyW0+8N5ubn37z1frBVbx243nsteP2lB1ydq4W9U2l0FXh1GwFtOdAgF9zWLBanBdlE7HTYQqC\ni4HN3YfucuCV9Nx+Wfr35WoDIcR4HDK3K46V7kUhxHNSysBUZ32S0GUmKG2x7Q5TJ4CS9Z0kNn1a\nmJ8BNwghLpNS3gI9RA74BTD4/l9dw6Bqb1Hsz75cyEv/eRegTkppqkVUglPR8Ep3gS0Dt07uNnR0\nsmBxS3Awg6GkWJQ6sZn+LATPY4I1mGM920TeW3qf7kPN4n8Hfh+8IMJmymcWuP+iMtZs6GJRk5Mr\nLZVKcfIZZ/PCy6+qza6TUmYGZHobC9yHlK8IIcYCh+Hklvq1EOJEnLfxL4Hxv7rpBt2J76mbbrj+\n1JtuuP4gKeX01evbZZg6F1eV0/3pbClLoqpzarvWlmaG1dWzctUqmpuaI5MO/RiDyJ/Jr84OxyTr\niZRViB3456ueHcUjd76IVO2BF0WRc/8v6v9DP9YlS5fRnUj4zpHJZO1GHqvwRh4XZAieruDFUe8K\nTMEmyvykkjtbGTboIXhBSZvdtt//xi4cs89O/P2d2Zx++9/ZpmEorxx6zs5Syo+sG4dj0yp0BrN+\nUBYCHUH+daFzqM0s72ljJnERX6ZjRbl2JHo3DLUzfl3hwwE3aen9OOLN5VqbccB7UsoOACHEm8BR\neIUBH/okoctcOISTOl39KRtYQ1dvG81DIKW8UQixPTBVCPE3nBJgN+O82t4IPH7QPrv7fDaeffW/\nHDFlX+75x9O2wpInAbe5DvR6Fu4gcldROZCxo0f5/HvATLjyAZXgifKK2H2H+toVeZ3UTYEV4Hf2\nNfZlUZuCVCiXAA0YMIARI8cgi8pYsmQJb771Njik/iZgVynlhyGHEgopZRIn2OafQohv4Ki2bcBr\nUkpfRIaU8m0hxFM40dHT9fW6OpdtKph8BUm4pGLt2jX84uLzef7pJ3n4uZepHFhFIhHdvSkKQXNJ\nn27GjUbu7MQuKIjC51cUAVYiBz5VLiqRU495YM1gksmkj8Dlbsb2+iO644qbJsYYSRwQUOGmQ1Ej\nZsGcgF5dL0rLKAZOOeDrfP/APbn/lbd55aM5LwohfiilfC7Lk7CpFLrhQFssC0kMtS6bkmHZQi/3\np2BzV+iGpkuGguOSM9TQZhaOKFSD4199KOnMB0Hoo4ROYfjuMmW9oMfcqL/FVfWrpLCwECHEJCll\n40YbtAYp5UlCiO2AbYGHgR8mPnv3aSHEP2zbjBnZwGvvfBDUbc2vr/nZmYmmuZeC1wfNhYncAWzo\n6GR+OhIz41dhcNz2OXGHqHRhJC1DGnMld9rbpJ4CJSxiNggmQhLkD6YqEABr165l4WJnjlm1ahVJ\nx0v2D8DDUsqFoQOICSnlG0KIrXEm788Cmn6Cc/1ljShO0SqpM6l0RQUiUClT182fP5+33vw3AE0L\nF1I/fDhLW1pycmwu0v6V/mhXkQW58xM7FaGqXUT43E8imFfd8+8eg00hXbJsGYnubmM7HaY8gO4+\nXPLWlZSeHIJO+xjkLn28cXzubOXYoGduKrLUslXhblMCnPndg9hp3Ndqj77y9mdfuv0qDj7/umzM\nrxtdoRNCVOMIBicDR7vLTZYYV7HT1brA1FJZkrowRHkh1Nr0eR86IcQrONeAjl+oP6SUUgjhu/Gk\nlPOEEFNx6sSvBz4GQqXAvknoTPXmoOeGV6LLdD+y0pIyrvnJaZx7/e2/F0Lsl0cn12xwJE5gw1+k\nlP/Ugx907LHTBM742Q0IIQr0NBZCiELg8IP376nVaXI8tZVYqRhQ6Sh0WjoBIEOKAeOEaCN1UUiZ\nUfqPYca1wVN43ZZnCWJPRFEKzKtt+pWXid323ncssO15F17cCLyNkzNuHeAv65AnSCmXA8tDmn0E\nXCqEmAYUuPdCxwZvPVhdnQsKComaowrMpb9KCkVgFOr2Eybx7//Npqurk6rqGj6bN5fOrtwCEE1k\nUCV5eh1ZE7EpLjCPW/WxM0Kta6lVJYmFiAEPUcicu27QoEedOFgAACAASURBVMF0GUyuNpjaZWO2\nBsv5yjGgwiV3gDdiNuLLo+qOsuu4sVx84uE8898POPj8iIfnxaZQ6MYBX0kpX+2a9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dVJhubvdmvuHWX3PqvDO4+49/4KbrruZr22zLkUcdxfMvv8boMWNYsmw5rS2tdHd3MX7iJIqK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\nxWKxjHCsoLNYLBaLxWIZ4fx/w4O9qp/fmLIAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x10b751cd0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_field(dset.sel(time=('1998-1-15'), zlev=0)['anom'], lats, lons, -4, 4, 0.1, \\\n",
+    "           cmap=plt.get_cmap('RdBu_r'), grid=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### calculates a monthly climatology using the groupby machinery"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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1a0pud3Jyeu+998raG6A32x3nO2/ePKmmiRMnSl03dOTh4TFkyBDRptTUVKmZ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\nq9WiTatWrTLKCyQAFIaaL2C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W9MuRI0eWLl3q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\nRlesWHH69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S+nJCYmShIG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\nEFZVVdXHH3/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+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {
+      "image/png": {
+       "width": 500
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Image(filename='images/split-apply-combine.png', width=500)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sst = dset[['sst']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "clim = sst.groupby('time.month').mean('time')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xray.Dataset>\n",
+       "Dimensions:  (lat: 89, lon: 180, month: 12, zlev: 1)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float32 -88.0 -86.0 -84.0 -82.0 -80.0 -78.0 -76.0 -74.0 -72.0 -70.0 ...\n",
+       "  * zlev     (zlev) float32 0.0\n",
+       "  * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 ...\n",
+       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12\n",
+       "Data variables:\n",
+       "    sst      (month, zlev, lat, lon) float64 nan nan nan nan nan nan nan nan nan nan nan ..."
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "clim[['sst']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from calendar import month_name"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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T0Qwzc6q9tFxVuxQ+OQrm/id55gbEYzxMgYtlDXofu6CtazlytRmB3LraEsUj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\nB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Nb84541eXYBQES+i16bb+XZNBo1ML4HnHkPiMhoY0zkSEpjTKOTMfDyM6D3RDLevh7A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0kk0ycL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\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+u05zdbpZpzMEXdPeAr5ZDgNLUR/fD9Y+t6Pq4s7ysdmoTuKwkTSBxLHJtQ5wiN9W6eIA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\nIVFUEiRIkCBBggQJEiRIUHL4P35vpaFgimySAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1196f81d0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "f, axes = plt.subplots(nrows=4,ncols=3, figsize=(14,10))\n",
+    "f.subplots_adjust(hspace=0.1, wspace=0.1)\n",
+    "axes = axes.flatten()\n",
+    "for i, month in enumerate(xrange(1,13)): \n",
+    "    ax = axes[i]\n",
+    "    plot_field(clim['sst'][i,0,:,:].values, lats, lons, 0, 30, 1, ax=ax, title=month_name[month])\n",
+    "f.savefig('./images/clim_sst.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### New in version 0.4 (RC1 at 27/02/2015): calculates a seasonal (DJF, MAM, ...) climatology"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "seas_clim = sst.groupby('time.season').mean('time')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xray.Dataset>\n",
+       "Dimensions:  (lat: 89, lon: 180, season: 4, zlev: 1)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float32 -88.0 -86.0 -84.0 -82.0 -80.0 -78.0 -76.0 -74.0 -72.0 -70.0 ...\n",
+       "  * zlev     (zlev) float32 0.0\n",
+       "  * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 ...\n",
+       "  * season   (season) object 'DJF' 'JJA' 'MAM' 'SON'\n",
+       "Data variables:\n",
+       "    sst      (season, zlev, lat, lon) float64 nan nan nan nan nan nan nan nan nan nan nan ..."
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "seas_clim"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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GpNETMPVhQ+A1VS0Wi3GlqrpYRFphGpMPMWP9pPRcRI7H1kCHVtiYXUcgQjcm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\nt1R7rLDmEnp5EfQEz0lKLDG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erWneuzVjT3uB6Y9OZL9Hj6L7MX359qr48AQlS4sB2opF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vgGW1hKAYhIPeAPYCXvfeEr8FRqHr3eoR8fVV4F/+NB8FNylMSoo5YRLix9mcBV7P2ejlnWk8ry\nfHc9Jdb/MIEpKjnhqMeP+FJE7yD2qjCgbbG0VRHgXLlkglhklAkJ5XCLNQ1OcrGfcb3KC36Lip+/\nABQtmTx0QXO1I/Ndkfn1oRTeZeIQUcrnd4/Q/4G/Z3LtuHvC2SLl8VvY/fiVzZaPnEglcF6J9T9T\nPgoq56XVd/6WIt7EFYGbnIi8YAg6z4eWstIGZctBuUbaO3K0tWQtc35tVvnNEpTuAYp46BNotnME\nzU6IJjSKNigKnPW6x2oU2aCM6FFUgyJOZYlwYSkxCQXrwZQkV1+2mEvVS0rh37RUjDrd9XgRXxRt\nltf1S7wOJrvqyVr4qknyqQnS6k7VPfU9HTgTABH5wy5StrI3rLS+ZKIpCttadhOMm1gChQW/SqFO\njcWomJtKsK6SZOoJIvq4glwYH6Vi1Oc+z6s+J6JqtuLWC0TiKS/NmD2eXFqVqusnxH/ZaixtlGTX\njGrwW5CnGuCSHtdXfuqxrf+5qZC63b+nfMo4+2oQPPu/R6V1TTbwQARhaWqCl+tFcsJXScRyIdeL\nSphRSa9j+CUzhpeQlcL/UcRZnVbacGRIPtkILinH55IIZXIBv+umrc4FDjoV3nkGKlNsAp0aPs8N\nz5/Apse7zw7XHDmPRyYWv8Z6lAX8x7BfPXUZSfFRNlxUkv41jkAEwdd1vluvCSn2tSzE4SW/BZ4b\nYVr0bOGsN1O7GT+ksjy/pusF7y3kS0bDfYPSyw1s+SmH3dKfAy6DskbV6wnSYKccn337WspxvMSv\nkE+lNrzGcZS6ag/hoQN4KIHLZDuKeiXQBhvOl+SstyTBa1jwk7yTuJT7kXo94iSu44dUhDKZElou\nt9cyQYnr+9gn4dmzqpe7bhXUd5GTnx1LyvFbJSk5f3TCr8/6wU+gSG+MMed7hw7YOUbogJnnwjzv\n0AEiko8anM5OwpU3GT4K6lzuZ+v1HJPkIvc1vOoucX1PxazffT7hGgGPU3wv7S4b9Hgrwy2E1BnW\nlrBz3EhKAx3HQakmOKzE+j9nKlzTu/rx07+E4p3CbelSjs/VBKSU+wcLdr+NMx6CFzrGHOAdOmDz\n0QNpGTF0wKJRMM07dEC2fBRBs5QE4u47uRG2mgx6YUHnOl94Kk6DAlBS9dFv+ySJS6Wovt1nw7ni\ny9VqL+rxlEeZkkRakhzCnlHK9b3rmXDzmVXfjdGMrWF7/O56AoUkv34bV7OSwUyRilHWL1294kLU\nriteYLCcImhQRHm2fmXiClFe9XhNQKmIdfld3z6/pOonL42BU4AKumSYzUmKzMe3F4e52xLHg9oN\nd11OlESoN+x6Xsb6uUC1Z9MLbnYscIyB30UTh87waUvK9X1u0EEbQX02LmI8oHlEt41cE3g0Kz6q\nIWEJwi1zo7qceSFb1bybpKLW50VQKcfnkvRDYSp0m3Ciqtr99o1T1S+dCKKSUFj7w4xsU2Tf/jhC\nYqYhMCrPk+r1pFznRFqxRdMIpTcirFztQEQ6A4OAfwCX1HJzXIi7bxRl1ZENB7nrz6SuMC1YyuN4\nSdXHjLb3HHWGbR/axUvI3AM5k3hYdnt8C5b4lKH6PaQI5qVcabBiX8excEt5HM6Ki/wakYRHQu6Q\nBB/VoLDkRCY+h36IQnhRBbG4JOUu7xaeUj7nlXj/nImhbpjNVcrjctUm+xD4XFqvH1Y45BlVnl8S\nsTE+cJ+eyy3AGa7/kIEqO6ivZbN8rjO4H7gcaBZWMB783F1aZVBXkjxkI1M+ijP5uM+LqimLyk+Z\nwFVXkga7qdASjmsGneynGfHRyiXlAOBGWLVJ2mOFaoziCkXZlvNCDl3YqpA1H9WSsJQksnlJSVsm\nRrVxSOXoWg4EDfQ4l48twIUNPr9n5KorKtkmtbVpXypTAdJ3Sy1bociGk1CCBIMEiCdUyzDO+gP4\nBmAz51EROQiYb4yZIiIDsm9QFHjddyYCVLZISohNQpDLZDEYdTsxQ02azUtZeVN5IeXzu7udXpwf\nkZMgOwEqSTMMP/gKR173mElfjbtYSYCPFocVGEcVH00DaO08mhQf/Q8IS0kgl2qIJL0JM6w/K+1N\nKoNrx43GF4OsgOy3D1yI68EYqDmy72U9moFgGdEn7ajEUiMrsQAMsP5A8wlP+s1VYBdgiIgMQjOi\nNxOR54wxNRyj135OtSE0RUHQe0yizXHHISRng9Ldpy6HJicyL6VCjmeiHQnT5MXlJBsl/oeS4KpA\npByf3e2fjo7VdVQ58ibJI7XJSQOo4qNRwCvlrgKJ8NH/F5YioQJYYn12klg2q8hstVlhrhgxVc6+\nSEpNG/U8+7kEbSGkMrymF0oScP2227oBHaxjgJnWb82BizNs298TxphrgGsARGQP4LKaF5SciEPk\nYUJKTU0KQdepAKImrg27n1xt5wbVG2SjlYmzThL3EEU7F8SFdrtTCbQlU7jbNw0VkN4Hpjh+v5qk\n4/PVZSTFRwkIS9mSh9dgdte5AbhtN6Anuuf4C/Ad3DQv8xWYAd5D1QqtUV3fEqAD0BbVDAg6kw4H\nKiah8cy3ttrQG3gejj0NtkfJayrw5G3AKmAEXPZblRQ/yaqvo3WtMjSo2DfA82ejfkXtgdOAk+Ce\nSVCQ4b3FIaps6/NDprYlfiu+bDR0QQScyqA+d1s2Av8BXkf7UldgNnAyyYaJ/tsiRiyC2kYUPjPA\nzVuhHFAMzAJ+gBunVxr7Z4TfUOrYDNVILkY5oBsqINnpvx4Gls8EPkWl8XbArsC7MORApcnGKHfd\ndC3QAngZLpysHwX4C/gV2NYqVwh0AuZY3987CY2bfCdwJVz5mi7Ks7k/G60Ijojox09hPJTNXOTH\nS7myd80V7Pb+Ajxufd4ZneoHou87vxbaVaeQER9FEJZyvZLyqn8DsADdxvjY/vEz4HmURYYBm+qx\nFuht1EM7QT3HXwv8vQRXoBI3QCOgJco776GEsAYlqAK0k42+BFXnfYJKRqXAbtqsN4D61vXYiM7O\nY5TUWlv12Dm1G6MT6ALrun8BnIEyZRPge2AEXGVdprl1D02tQ+2Bo632xoVNCNmuxLLpE1HOjaO9\nq62tULtdPwBPoyu1o4DNgfuAwwhNbFVnkYpRNjh2gDFmPDA+m9bUPipQ3+XpqIAxC/TFj0R5YHdg\nCPwb2ArlAjcX1UMFkjY+19hoVbeaKi5pgQpMa6jK91AB9AF+GAL0t078E5WyOsGMA+ED61oVoAS0\nHnhD+2lD66/cqvdTVLhfaf1Vvs99UdL5GrgSHkB5uTFKU02s5wFKXx2Jru0K44BcCkXZ1JnUrkIu\nsRi40fo8CO2PH6Br/B1qq1FZYh7ROWle4NFs+Cihbbj16AAPwwZ05dIY1bS0RxdnDdDBOx5d1SxY\ngz6dKcAxwKPAf4wxXwOISB5wIHy2PTojNbQqaZj+17ivyjcl1rXWoIPimZ/R5do04ARjVv1kt1BE\nmqGaozLAwFox5t0K6/AE1w19A9wvIu1hbQtjlk9zHhSRhlDWF2WhhVrnynxjflujAbKW7q7X4DNH\n1mj7XAGawoIO+kdX4FntDA9at52PEmJjVD5rbn1uhff7iGsjUVv70GHXrW3S+gP4Dl3Bv2j9dh5V\njhZ9gFeAs1FNZV1EGSKyU223IjdYj1JbmBbEoHzTBKWaPPTdtUCD1ExABaM5K1BpaTKwDSqgXGqM\nGWnXJCLbw+z+MLsH1XjI5qdGO+vk1RXVHq1Ex+/7wK9rURK81Jh1rzjqrYeqp2cbY9aJSJ4x39t8\n9LPHTb0sIo1gbS/gewevXKWcsnI7lBwWAqVQUd+YGSusa20JdAa+NsZUG4TKZ8vaw7IOaMd+Ve/r\nKatEsXU/9dCx0cZ6ti1Q4S0qatsmzw+52EWJex1nHXa5FSgftUNlZlDBqK/1eStU890O6BexDTWN\n5YjI0NpuRRAiRPDeAZVDGqBkMh8loTzr/zxUAGoNlE9DVSV/QP8TdfJeh0q7X49GK1uMjqQ5KPkM\nQAduM+BulDmmGWOCw0tFuTmRvYGDgKFUqZmmobEWXnILKH8XKDHTGCXtjUAP4ACUwKx9xH6tlWPz\nrb9m6GBJQo3+fxHTgJf9Du5tjPnE/iIit0OLq1QBWttmgYuo0mKu4v+xd97hVVTpH/+8CTV0pIYW\nBEQUEEFRERU7lrWuXbGXVVfXrmtfy8+yrgW7a++9i66oiKKCNEHpSKSEXgOBhCTv74/3TO7cydyb\nm+SG5nyfZ557Z+bMmTMz57zn7SemQfgaTGvQv1wGb9OcpIibgVdCM3inG0aPemETcF1M67sME8Iy\n3LYW03g0AvKnYUzOXBhwgtGjDMzcPuodoCfGyOS4WzwJnIjN+Buwl/QM8JuqVhiTk0L7twfOBg7C\nHqSBe4CXgZtUtSDJ5VssRCQH6ESMHjUFjnXHWmHc4ddw7LH2zTKx157N5h8fWysKgPuCB1cTc5J8\nVFWLAUTkAOArE+habspGhmA9poythwkk67BnGYW3wGa5DN48PzjmwF0RhgPnh2bwri5S6KljPZG5\nMSYeTMYGhKdnng38AstzsKdtC3SEkXPsl7WYt+vvwGWqOltE6gDFqloqIk0wwpGnqr+TRqjqV8BX\nInIDRj2Xq2ppBZdt8VDVcYFDPwEveTtGvEafB6N3xKhTHYxBBTJzbD7ovglaurmhxJiFYmK0vBOB\n6NIUsL3v/16o/iAi0htYp6qzA4UHmOl2c0wEBdgzLwF+AJYtxsZsQ+xFeNtPmM252kLJpsXkC4nR\no8aYBnolMalgDfAV5OdgL6Mp0Al+GGe/1MZo0RzMH2c8zn6kqsUi8g9M7dNEVUels+WOvt0sIrcQ\ncxBCk0msWwFUNZfydpJh3h8RaQScCu8XE6NHrYHtIasp7AwcsWkau9mxDtNmFhLPW3auZD1BTd2t\nwO3dgS6q+kPgZH/TU2wORqkYo0XrMU1tbj5mkWmIjVuPHk3H/FmWboZGpoQKqXklJEbvIaekUGeR\n7/9qzPGnxuC0VFvZpFB1OOJ1k/+Y00ZdDiU5KSSu2EKwFptP1mDzYhO3pepo+jPwmfvv8Y2T3H4r\nzFxT7H43YJKuZzbz6l+OzQP+6JEfEZEcVZ1EOIbBrH3tnpsC84FPMS1uPmb+qINNQC9mJxMQTJkU\nRGV8vDZtX1LVp1Msusz3Pzh5BFH2flS1EPg1SdlqwzFH82vyHlsSVDUfeMptQFlG5aOg4DHrb4ez\n5Wu9izBGZwnGrDTB6FJDUvPXWkFsbcNsTGBb4I5nYdrfjW7zfNT6ul/v3ZQSMxn7MRZVXUy4084w\nmPl/Jjxuine8DvgIe67VGDNYBzMH5rZW1fWJrgynR3NJnSbV3LCKdKDbMESkAXRYa2pPL2hmICZg\nb24oZi4pwYT9dRhztBZjjvIwgtEea/t0d3w1xuCIq0Mxa0ZrjNHJwpibxe5aD3ui+ryISBbQA5Z4\nFKnAbXtDXnvIKyVGUQTTjl7gfEC62bX0wShaOYjIrsDfalaKK8GIgqewXQasPwXzYZmuuqAoVvaF\nGmxHhAipw8y8B5WaqaQeNj67YNFaWwIWua0RRhLW+rbFmODUym3ridGj9Rjz4tGj2q5MG0xwmeeu\nxe0vA5qjOkmc6bsnFNSCggJiNKkTsDuMD9KjTOA/ULqfK9vDyn36adgTiUhT4H6jRzXFKKl7Jo8e\n5WKarOm7AHNVF69KfO3Wg4hZ2kZhTp44Rqkd5iqxKT+3p12tg03uo3G5h77FuJ+WrsB8V8iTihZh\n4tt4YIbqrHJaEfdsYGKWQn425O8Cs3bBKPBw4E23+uJoYJ3q8wcCOL+QoBkT4JMkD/NP30NVpKUY\nZM8zAoucauu2NpgkmWrEUBg8R87hnmPOcLeN2lr9XSL8qfBxLLr5Ukwjs6mwAQs4ro+RjflYJCBf\nEVNZN8boUytMfbSIGF36DZioOr+chcLcSkpruYpLobAxzOsF8/pgNsaxWOTiKZhzTiP49SQo0zJO\nDmnwMsLpFMBjvv+/YNEkidAD6GRBKU8TT49ak1pgViIUYTT9jbnuwJfYB/5a9edKVkYAACAASURB\nVPsl1ah4i0SFDt5+Z6sIWw9EZH/gQyx/wRjgHGy2LfBtqzCq4W0LUnWsdxKRp67aAbgFIxb5bjvW\nFZ2CiRoHYzabU9x9VwNztgUfsjCISFssqYl/a4XZASf4tvmYxsqLKV9FLOnXbpjjfhPMGTkbM/zf\nqaqj09TOsjEec/D+rIKr/HgM+LScg7eIDMbizTOB/6rqvelsa4StCy6CeR3wAdZp/oFJUZ6HbwFG\nN/KI0aN5qrqmEveoj42x1sCN2HjJx+jeQGL5VoZhwtpuGJ1aiI23eduq0OH8xnpjdj2PHnXHfI79\n9GgKxk3lYCqjAowercTe7YnufAdMw/4Llojw2XT43gXHuDl43z4Ydk+xhtHA7eUcvNNBjyJmaRuF\nCzk+FRPhmmF+GO9gdipva46pnTpgGplsjIlZiRGyYt+v/38psaQdS9z2EsYINMJExkwsBDm3Rh90\nK4JTifchnoFqh4m8Jdh7b4R9r2buuOf0OBuYkO4IznBm6ZEKrvLjLeD7OGbJ0mIwHYv6WoA5j52i\nqtVKeBXRo60bIjIAuA5z5lPgdkzV49GjxhgN8uiRl4tgMeVpkP9/CRaB0YYYPfoeeI1YkroGmOPL\nL+keQ1srRKQulrvHz0D1wBjWZZirQQYxelSADfiZ2Df5SVXXpblNIczSRYOtmalgMvBMHLOULnoU\nmeG2Ubiw0ZfwRclVBCf9tcI88rxox0S/syJGqHJQ1VXEr/q4raI/vv4hIm8AR7PlpDmOsBngorSO\nTrV8QHsdzDwc/F0FjN/aIws3JVwwg6dR2paRFnoUMUsRyuBMYp6XY4Q/LYpJnTQUhx1shznLeZjP\nlpsNL8IWCsf4rCK2MGeEPyVCaUxlyqaFHkXMUoQIEXzojUV4n4tFLIVhptvm45a8CIYCR9J9hAgR\n0oEP4J3B5tKZaPkojx7lY7705TRGaaFH1QnNiRAhwjYEk+Qn1Tb3joew/CYrQrbmmDvDfKCou6o+\nH6hqAeZv4qEDf6K8QhEiREgPVPUpOBCLU5pAOD3aDnNXmwgchapeG6gmLfQoYpYiRIhQBvN1G59h\nCxQ/R/mkk95aZpOBVe1UdUawDky86yYiOS5b/0lYlroIESJEqBRU3xELWnwT89MOYirmd348qm+F\nBYCkhR5FzFKECBHioKqq+q2YWf85Yi5sxcB7uCzGzVQ1L8H1xVgU5hdYKPKb1Y2EixAhwp8Xqi8L\nFOwBHxPvjz4OW72goJ/qi6GRsumiR1HqgAgR/sSoaIyLnKCWd+kYLIdJLWB6VrIlC2oKET2KEGHb\nRsX0SLpD02nQD9NyTwRWdlPVWTXetohZihDhz4tUxrjIEDUV+M7AhNreauabGhE9ihBh20Zq9Eja\nQav5tnzL4mxVXbhJ2lYRs7QpGhEhQoTNh1QYEBHpBMzdnHlsInoUIcK2jxTpUTOgVFVXb4Im2T2j\nHF4RIkSIECFChAiJETl4R4gQIUKECBEiJEHELEWIECFChAgRIiRBxCxFiBAhQoQIESIkQcQsRYgQ\nIUKECBEiJEHELEWIECFChAgRIiRBxCxFiBAhQoQIESIkQcQs/UkhIiNE5Fy3Xk6piGSEnF/h1tKJ\nECFChLRARAaKyA8iskpElovI9yKymzvXXkReFZFlIrJWREaLyBGB60tFZJKIiO/YnSISXNA5QoS0\nIWKW/rxQt5WDiOQA/YElwFGbrkkRIkTYliEijYFPgIeBZkA74HagUESaA98DG4CdsOXkHwReE5Hj\nA1W1BU727UcJAyPUKCJmKUIYhgDDgZeBMzdzWyJEiLDtYAdsreY3bcFm3aCqX6rqZOAKYI2qnquq\nS1S1UFXfAO4CHgjUcx9wu4hkbuL2R/iTImKWIoRhCLYY2FvAoSLSajO3J0KECNsGpgMlIvKCiAx2\ny1Z4OBh4N+Sat4GOItLNd+x9YA1wltuP1gyMUKOImKUIcRCRgZhq/CNVnQlMAU7dvK2KECHCtgBV\nzQcGYmazZ4AlIvKhiLTGzG5hi6J6x1r4jpUCNwM3i0jtGmxyhAhAxCxFKI8zgf85ogYm1UWmuAgR\nIqQFqjpNVc9W1Q5ATyAb801a5v4H0db9LgvUMwyYD1xI5LMUoYYRMUsRyiAi9YETgQNEZKGILASu\nAnYRkd6bt3URIkTY1qCq04EXMaZpOHCcP8rN4URgrtN0B3Ej8E8gq0YbGuFPj4hZiuDHMUAx0APY\nxW09gO8wP6YIESJEqDJEpLuIXCki7dx+B+AU4EdMu9QEeFZEWotIPRE5BWOGrgmrT1W/BX7FtN+R\ndilCjSFilv7cCBKXIcBzqjrfRaMsUdXFwKPAqcFcTBEiRIhQSeQDewCjRWQtxiRNAq5S1RWYP1M9\nzFdyGfAP4HRVfdtXR5Bu3QQ0r+mGR/hzQ1QjZvzPCBEZh+U3yQW+VdVmya+IECFChAgR/pyINAV/\nQojIzph5bSLmD/Dz5m1RhAgRIkSIsOWi1uZuQIRNCxG5FzgNuBYYhYXlnr1ZGxUhQoQIESJswYjM\ncBEiRKgQIiIaEYsIESJsAfAiJjclTYrMcBEiREgKlzDwBxE5YXO3JUKECH9uuCVungQe3ZTL3STV\nLIlIJElGiLCNQ1UTLhUhIl2awaxuwFRgH+DTJOVrEhE9ihBh20cF9KjejrC+EAuJzAKmQD1VLazp\ndqXALN1W022IECHCZoDqrZ51LZQ4iciujWD8vsDuwArgFaAX8C1kbGqzXESPIkTYdpECPWrSCVY1\nBI7FmKX3gA3AHGiiqmtqsn2RGS5ChAjlICL7Z8H4wzBGCSyRzTnADKAflEYrvkeIEGFTQETatoZV\nrYHjsci02sAJ2IKCbWG1cxeoMUTRcBEiJIUChZj8IkAmJmNkBP5XxTKlwEpgI5a4uB4wG1jl6lsN\nlLhyxa4dRcC+QJuqPlCFOElEszBC1DlwriGWKvlNoAcUi0h9Vd1QY42JECFCABuBAvc/jBZlUjV6\nBLAOozuNgQbAciwVX4a7pzfUizFaVAR0AfpU457JISJdm8HMnTDK579LBnAEMAIohEUi0kVVf6+J\ndkTMUoQ/MRQjBB5T8jVGLJiMWZs8rHWFhJhQUxvjHUKwvatn8b8xapIB/AAcDZwL3AXMw5wUg/gD\n44p2SNzuKb7/9YErXHMWu6bWAeoClRe0jhTRkcAZxFYvDaIelnviPSAH1otIU1VdXembRYgQIYAl\nwCKMHs3BkpsDMBPo5v4XYVxMKTF6VAsjBrXL15kFtADmvoDRl4bAOKAV8BDwNPAb8HBIg9YBnwAn\nJW7zr8CHvv1/YMzWWowmec1rQ2VZDhHp2xDGDQT6JSoD7I+xdt/BbBHpo6q/VOpGqbSlcj5LiTLK\nr3C/RcBSYt+v2Hfd1syXeZJ9LWqKe46wqbAWeAKjAY2w1RdSRhtVXSwibYG/ATencM0KbGX0VZhg\nBKaYWYdZtTzcjRGwz7GB1AszzadyjwS4AWOawhH0EXDhuKWXkdraEaXAa8AsuERVH696O1ND6vTI\nQwnwO/aqm2P8bi1iWrytGRuJ6NG2gBLgM2zoVxqXqepQtwD6QcBHKV73HiaMbQR2BfKA9zH65AmJ\nj2Nq7pdUdZmI7AR0wOhTFXEGpoUKR5jPkogMOwwG75HiHX4EvoBPVPUvVW9nOFLgYPr7/vfw/b8f\ne58ATbG5IBmuA9pVomkAXQP7syoov6KC85XBWuDfIcd3w2TuQuzD16iZNEKVMRuTeNpjVu3tMObI\n/00rxSiBqXmDx4owVY6HG4GnVHW5iDQC1qtqcfAih3OT3GuC227xHxSROhiFHYGJc12Ai+IvPR7Y\nkVAhMwUER10ytKHiUZleNCe+hR5N+gy4nJiABmaOKElQzzHAAQnOeXSkOsuNpZMWeXgKyyHrRy3g\ndIwp7IQZTiNX1C0PK7H1yFtgCp0mQEtgNFVklAAeEZFHKijzJfAPVZ3ifAwbVMURWlWnYCrtOALo\n6NFGbLHjXYA3gHfjrz4QM9M1quxtAevVqY7EjlW6Q2pIgVnqAeTYX79efv1AWOUxS2GMUg9Ma9gZ\nI9wdqZwU1KPiImXwyLX/lVaXWNXDXFsXYwTY28YGyh0CDKjmvSKkDsU0BPnYN9qO8MlhCTF+w8Oe\nGC8zCfg41Rv+A1NV+7Ad1r8UYozSncB9qlrGgfn/pwuqWuT+7uMIlS9k9moSWgaB2PioDDu0pcET\nGHMCxwdirNt83zE/o1QXG6utge6YYF01ZjI1pMpCVoZO9cMEgEKMlpZg4+AFX5l2GA8eMUybDp6f\nj2C0oU5ImWJgfOBYBrYGcHvguVRvdh1wb/yh7dz942SyYcClfv8dVS0B0hox5qNHdwGIyOuxs2dj\nrE5F2DrWQE6BWcqJMUk5/uOnQPER8HOTQPkfMW1UugdrLuUZqPXAp8BcrKMsdOV+xQjhPZRn0FIl\nThnAz5cTM7oux8TXhZho4CKB/uc23sIMtbPg3EttAFRVRV4KLHC39Rx8W5LMpLLtYz2mSJkWOC7A\nEGyS+MQdOxhTuJyPvb/XsP6xFBN6gnUkhWOUGmJZhs7FNNH/DZbrAQxxuYAWAF/XBLMUQGCZmnmU\nHyNhDFJlBJEtETn2E+dU1Rv0D1g1BDa86jv+JObREDaBpRNTsb42D2OU1mPjeD5GE1cQrl1PVcBT\n4JPBWMdej6mS7sW4viYYXWpnXe9fYLRKMUn2I7jxzeoxhytcVZ4VoRXJGfNtHQqMBL4JOXcspiiY\nhjFIf3Hl/459uq+xz9ca0zaF1ZEQjlGqhXnpXIT1sVeD5Q4D9hWRozDJ8XtVnVuZG1UWItILODl2\nZByJmSV/v986hLeKmaUgoxT3XI1hR4Wi1fDLj5DVE+q2N37Ff00i5FZw3o+FXmW5WMe4qYIL+hPO\nrCTiYj/BTDcbMeZ7FcQ7vI1wv0sxMXaOq+xcjICNxNRod8CzwKWYyrWi+/rhEcs3gekJytyWQj3b\nGgqBX4gxOTsRc3JW4MVAec8p8iLgGd/x2ZgqeCfMz3Fdivc/EYsB8/rTcRjjdCXGQwO0Ox46HW9l\nlgNzEdkb+OE84HlVLU3xZpXBMfG7nj9ARQxSTg00JQYR6QC8hM2oCjytqo+ISH/gUWIOjReraiUX\ncc6JZ5Jy/OcygFdAX4SZo+02dXYvb7lK5LkO5csmRa77nQYcXkHZzkBfTPZKBD+NmI3RgSyMHq2B\neH+RPCDb/T9YVYc7s+9uGFf2OsbZDAVOg6+AwRW0MREmU86yUoYgnfszwBPMPSanHcakeng/UP4J\n93sQpgHylD0L3bYbxmSH9Q3BabB96IT5W2e5/T0wV6PPiU1TALs9H+s/MxHpDOTeDDyuqjVhJw5M\nuAcFTifSbNes8JYuelQxs5TjfoPPF7ffBHYaHNM8p8oodiW5tjrX978tsHAy0DtQqB9wKEYodycm\nPZViDI8/aMn/Lb/HiMBGjP8psxvvj7HqC1R1fbLmi8hKzL54gdt895mIhVpuxKKj+rm2zMYGxc6Y\nGWl7YmbM5hjDdBj24j1TzwxMCgl2vj8DmgOXeTuTgc4wZTWhDnCtMB/EEoyAtwauwfzrwDRzha7O\nKZOwTtPTCEodYt9BMKmtkBjzPAzTWHn9qyXwMok7cGtsHPJft3N36s+cGCIyAtgv/KyXTsAbgB4R\nyokvloxZoHJyXlCv7LARuEJVJ4pIQ2CciHwJ3AfcrKpfiMhhbn//StwugZbbh64AmSA+03iistXB\nQrC+FiSh7YAjscmrDbEJDawftcTGfwY2tj2alIdpoIqx1zfGu+h4jADMB1YnSwSqqvki0gpzxjo0\n/mw9TDMrWPj3oVifn4fRpO0xOtmc2NDy5tMdXTP+cPtrXZNOw0xAfza8isnK/Aq0hgUl9otYQJp/\n2uhFLBrMmwPWu0uzsDmiJTB2MjZp9QIyYnOB97nrWPUUuv8/Y8y3p7nJwoS44xK0uQTrQg/cARl3\nkKbIABE5HSOESZDIz9BDTtKr25I6TVoefjgt9KhiZqlrgv9Q/hm9/dwKa00M/9zjr3/qe9iA9eMO\nwgMKS4D/AN94emMfmmKvf6p3oBCbjVcCM1V1YqKmiUgWpkkKOtVtwLijNtYoPRi+n4GR1HNh8m7x\noZX8Ez7eHdPXYlqt/2ETdCY2eCDeVcakA4fvsc5+ENyWlKFLP5KZDfzEv7r1e53tae/EIOy5rwVu\nD792idsoApZBZnZMioOYe08uxHHdBd9AQSH2Afax51j7IqZOIibQPwrwKTxxhH3yRDkZvba/gAVB\nPHCXiNyF2fXvq2qmWScJhTBKB2PpAzwEmKSEmpiagaouwuKfUdW1IjIVm4EXEuOvmhIvjqeGHPcb\nRj3DaFVlvM9nUf795CYo22ouLAmaGIYQ3jWnAsOB/xRgnaauMSe/uxsuBdbNIZbW6g5MMFgLfJ6I\nQXLRi0dgHTPYmO+xPn4dsDuMWIepY3sCl8Snn+BmGN0DONV2L8bGYT42nksxs1JQu1Q2RxZiKpMB\ncNsm8vcP09SH0SNIb8TgaoxRGgSM6I29/6diNwmS48nen/EwZhkcc4gxShDLlTQB4lOVfAArdsIm\njWvsUBFYJzrI5oGZ+Mx3/eHeMcaoJUJ3t+0MnOMtHfQY8KSq/prkwoRwmswQRqkzpo1vR3nBDeIG\nWQWCWzqQLnqUOrOUk+ScH7OA9Sthya+Qnwdv+0yYtevD/nfAgCvBiyoKapcSaZsKg6pNMEapBz7G\nB/NfuhZHd9phs9WZsfOr3MbLWCxjXaCOqr4dcoMgbnWVe+ipqr+FlPN76z0JICLNiI3mKZimwUVS\nXQksw6TK2hiR8vzmuBbT416COWGBmQEB8kxVX4gN0kxswOxO4jQ9Re4+9UlORBLZlP2dfjjwDvb+\n62HSJpiZay5GR2qFbE2JjyIMdqTRrr6vsEmlK7BshD3jjphJLg5jXMPOxnIZzQQ+gZHjjQb1w8bB\nIkwqm487UB9ObA5v7Uo5ppoPsRd6eOBlHGFZAzxsj32aoD+I957igl5vBG4UkUovFeIiWUaHn72M\nUC1SGJO0id0DRCQHC0/+Cfsu34vIvzHVyl6VrrBr4DcMOe431/2WlsDSUZBRF0YeDwU+mtjtQuh3\nP9RuFM5gBevysHEC5ZGI8l+LM7HsiQ2ON2JMfFnF71A2MXKpqqZit+9NfKTCUVjYdLBvBfN5Xer6\n0yTXns8xBs3hVYxGNMQmdMX4tjI0dPf+we0XYGrdWTHfmQKMyaqPvcSBhPuxlrq6GyY47yEVH5d8\nzFXrW0zu8UjzTsQYnGbE06JMzNU0GaOxwbXxV2xeycaGYuNSu74WxvCWYTzW56/ACO45WBTQbGtH\nf0wHMtsVXwQmrNeFPbJg5TGOll7jq/Nk7EW2Jp6xAhhjPLGH20js9hHnu3cJcImI7KSqUxNckAzl\nHKUM+xKT6SpgknyHNgWqQ48qzrP0ojtfEZFdlw9PXg/vxaVbmYbNbuEYcDW02w067QeLnQmhdCNs\nWAoL2sYYKgAtgVl/QP7foXBPrDMdAjyATZ47YF/gW3fBvsDIbKxzeZRtEcao3KOqX4rIU8SZz9iu\nhmy5QNnq7QdgHsdgs+7LmN7+M88h2EU5NVbVZSF1eB/sNEyb1QsTd5ZjI+GvwOnQpYVpo+q4rZD4\nV8FajArWhdZ1zKTQDeMvvQDMrpSfhGe7OsZi/kAr3sBuNBxT63TEbGAXY1xUXYzz8X4bAO2hbT3r\nGp0x9f4PGEH9ifiQ/lauWi9dQzu3hab76OsecghQCzqeYEwbmHraSzq5MXjdbNe+DSTt6fWADXu6\nRgbwMDHm03tvObbbbBisjPNpuVJVH0x8nxhEpDaxtLwJnKzWAg3C5+ocX5P8v4DeQmiepTkVtOkn\nYi/ga2AyPKSqVwTLOZX3COBOVf1ARIYDj6nq+yJyAnCBqh5cwe389Sm3++hVTsKiULwRxr0PjyfJ\npRdE979Dkx7QZhAs2dHojyoULYC8tuBf3UUVFuVjTrutMDmoL8YE/QeboNtj5pKVGNM8eqCqjhKR\nNZjz3EqMaX8Zy2mxBzEGBOAiVX0q9QeoHJxmoCWxWftdLHH7IcAcVZ3hygmWY6ycR5eIPIE5Bw51\nz9APU+0vdb8DgPOAAmizu40Rb8LOwEjXCohJfFnAIujZ0Xzw2mO0XQgX2vIx8+UibAzuAPz0JmY3\nn4oxdUWYROFxNH56VM/dZBXs0CGm3PsGI2WlxGun/WiGyVhdMPJXDidjxO14zDHpa5z3vdHaZvjM\nrUFMxTi4TiSXao/ECOf18YfvIhaqH3xvizFrU0wLlmzx2iBEpKHT0PyMPVcAQ12zPOTE/ibyge5a\nnh65ew17HgYPStIePz36HfgYflTVciHq1aZHqppwA5RRGtsWbCi//b5asUnX23Ixp5uskPraYLrA\nURi3808skdYKjIk5kQO/iNXV5FAlq5eS0VCxXuu/zyr3jhSbuQdgJjJ/mf3d/YJtVF+b6mOdTYHB\nyd5HdTdMslRM+qtqHX8FdvftZ2JUIviM92HJLfbAEl38BQtvX4NJPE0xFWQWJupcgXmmr3Lv81/w\nk0KhgiptVWlTEqs/o41iXV2q8Ax1XdvOAh4klvXTUw0/C+S4sv0xxnAQRr0OwcSod33PWoqJsvmB\nd+AxhCOB/wt5Rx9gnJO6/veE+39jrMzDCrco1Hb7GQo87/pNoL7tFO5T+Exhju+9lQbve22K7ynD\njRWFhq4N9RT6Kg3vUFpOU/ZS29q6ba/AdoZvu12VF2ObN8Z99xNA51RiO92e5+KQttcGvsByvHjH\n1gTutbqS/Sau/byo8fTJ2+Lf9XLMnt0g2Fex2aqT73tfidlO52Azyp3stsRXV4ZS/3xvf0ngPqsw\n1YO3vy/GePjL3EXMWSm4Zbk21cJMZQrMqGF6VNd3/1pVrGMH4NzAsdNDxuIvwN7Y5DoIc5q6CmMO\nfyDmMFXP1XkWFvk1F5tTnoKhCu+5seXGF8f773EkkFmFZ8jAOJ7jMGZmjq/O/2IalEEYre0AnIJp\n8XIw+vQ3V26m77oiYvQnuK3FrBRh5x53vz9g9EkxJsudP1fhVoVBbr++UuY7xbLy9d3m6JG3ee8u\nfD5Mcf5RaOquraPQQeEMhREKxe67+La2gc1Pm26PbUF65PaHPV8JevSMPc/HNUGPKiZOAeaovc4s\n21oMfzH40uv5Ol93jIFpFaizp6/8H1go062YSlixXADBeq/2Hb8PY+PPd/VlBh54QYJO+L3rULMw\niSdIOL1y9wCta4g4Xejukbb6iZ+0PwLqVqOuozAJZV9M0nP11lY63qv0W6D0e0DJzAq+24FpeI7T\nQ75ZV4yZ+yTknBfdcD9G4P6Fqbu987tghHmIK3OP6zfe+f3cfbthWbKDjPZ64H9GmB5x2z0KTbzz\nXlRBCeXa1ljjmKXW5QSKUKbc9d+mmLfvl5hA8QOd/qP0HKX0/UPZs9iIzIkrrK69r1FOesfrtzcD\nH9B5fyNAfibJzyg5piJInEgTs+TqeQl4MHB8vO+9Hwj8XMk+kphBGqXK8LXB99zZd21rbLLeIaSt\n/mvexhjrF9x+Iaa68Jf5EJskFWPaHwbeCtIjt39HSN9VTIu5FzEmvmsCevQZPuEozfSohbvHdWmu\n15vklwIdq1FPd4zeD3Bj2Pf+TlJYqvC2wq7Bd/tsGp6hfcg3u86duyrk3HKMHl3nvvndWO4S7/wb\nmJbrUIwJvNeNkcXuvOd03QCzo+0fco+5cJkaA/SImiB3iHfuF9e2u8P726caY5TmBM9PTvIeamEZ\nv3/ChOg8Gt6iNP9aaTFFabPeaNyexUqzI5UGuyrd3lA6P6GY2ecpIJd+CxILcI42BemR2682s0Sa\n6FHFZrgFG2ifPa/cudU3/Jv8e8o0xDurZfj0rvsvNvkswGwmOar6h+/8XwhPzb4GI/o9sA5ZC1is\nqqUi8hhm2vEjzvdDRE7COuUD2ITTHuMovwI+1CQPKyKnAa/4Dt0E3J3smsrCM3O43dsxdWCi7M41\nDrFY0vGYeWcYpi6HjNpmwcp9LVa40T6Q/53/cn/ocneMoCewYVe6XQ2Id5JYT3mngp9UtZyN2V17\nKXC/JgnXd6bOYkzbdkPgLDYXXoC9mpGYS0kZ3sKYuyxCM7LeDPwr3iy2ME7LfXrwXYlIT3zeoAB0\nPRf6PwrdfUtz5LjfMxNqzScBvem+L/zz2/Jn/Wa4AVUzw/lxM/BKYLkTERmIvTRPAALTIi/FNId1\nsW96saqGOf+EQkSUUQmG44yJcPau3t7dqnqj77r+mJPJPEwzcJKqvuU7n03MuTO4LuB9mMbjeUy4\nW66qGwI+iB7K+TA6s/kP2Piqg2mzfsccaxMGZ7icNZN8h4YDf9U0r8EnIj9h2ufPgCGqmiCgqOYh\nIvWweWFPTLhtRVkEzwDghxnEOWNejS8j/yiMGQbrlvNV9YU0tUswQuDRoFLCHawaqWqcc5e79gLg\nU1WdH3KNVy4Dm+92IdQ21xpTfO2IDaM7yxVQ1SU+Nw0f6hHv15tD0LKnATNcYK4yNNwTur0OPXPK\n32LkvvCHb37IrA0lG8EI518B4kzofrjqdEjVzHB+DAfODyx3ki56VCGz1F7LIrAoLVhP/p2Pk/9/\ncf6C2eps2SKyK8YRP+DOrcSSTszEJpZbPeZDRHbDbPWeT9NsYoliaqllG/W3RTCVeaGG2M5dGY8J\ny0w2USa4tjFmQD8EY7ia4zpgZeoJqbcJFa8F42EYcKGqludOq35/ScTwiUgf/Cmu93gSupwJxevg\nt/vhN5f/7OiZ0LgrdFF441hYOhWWzyhXX3DAVbfdGBG/HnNIGIs5gqzHIspWi0gddRlkXaRiL2Bu\nov4RqH84Jk2EoBaxbLjHYtr3d8IKnk9cIqeOWFRj9/L+Q6qwKMO3G0cQPH8pOGYW7OqGQY7v+qAn\n1dSf4Ty3FFG9enDiEPh9Jnz/jR27/Q04KIG/To5FBWp23VBmSVuFXxaGHO958AAAIABJREFUi/Ph\nifWbcG24BRtiB0pLYdiHcO3FsGqld/RUVX3dlc8B9mT7/q/z+xgwZmcuFj12NnCMqha6so0wrZIX\ncp9PzOmjpYb7D7bCJtD5QXrlznuaxwtU9Zng+ZSe17yUv8EEgKNUNeXU80nq/ZLU8pAsxaI0xqZL\naHR9jLD63DeIRYrWPRyavgFSCwpegjXPYj5g/4a2V1mZdU/BuoegJC7R7HzcOkeaRh9UEWmPOan1\nx5zmu2E06SZV/V1EagGlTrjPwOhRkabgPC0iZ2EMuQ8eHfL8Nj3chinSy01xf6Hc0gTPEPvUOcG7\nxt3M68NxjFL2oXCgzz/UT4f81a1bCRf7nMoPPwsyMuGTZ20/kfDmqzMovLm2DPusCYMPSzEf88eF\ncNTqzbQ2XDZ5AIzJ3N+IUwwTgYM8SURsob3xHU/fmxVjZlOvbVOWfTttF1WdJyJ52PRxs4iciREl\nL/nTbZh6bI2IXI2pW4tF5AFVvdq7mRtcuRU0t6f7LRGRYzHpZCPW44pUtZxnrw8esfsfFh2XrGxl\nUIRprBZjjO84jCmchKn6T/CVPQyYKyIDVXVUZW7iBurenP/CCOb+Al88uDNma+8jIq+r6qm+sgLs\nw8Drv2X+T7B4BqzPgw1LILOebX3vsS3+JnDBULhlV0IQjCZDRJpj4WLjKktsXfmfgGMCmqZMR4wa\nAvmO9v6GxcSW3TqFWzyGxyw1HgpZl8D6Z2D1b5g7VWesi+6Gy+QPpqFsgDFs+xOf8RLzIe2eINJD\nYOP3sNwCGaXRLar5//LaGeMAdu2SOHItx7eySU5v+DWPVkVj0LUFFI39lVrH9qHO+/ewsGgXV6iQ\nMMQ0xVtH5txQPPsY3HKV/8h84DRVHek7NofufaFVW1jaFPJXnabmYH0AlqFxg4g8j2ki/g9jlJYD\nfVR1voh0x4JUlopIsarGhTymIEh5SYieFpFuONqG0aSNGE1KNi6mYP36QlX9ewX3qgyGY+9rOObw\n6i3xdwKxPr0Kc/4eg2ltBparpQI47VgPbBB9gkWqXumdDpTdno73zib/R1g3DormQeliyHD8aoML\nbfMjByg9B6Z/AqvimKX2wCFBRslprnoDk1R1A5WE0wxd5+ryvtvBjlGqj0UX7S4i32FZa737hjLb\nAfg4kl2w6fV1LMN3bYxUeVPHBBwvMxrTeBVic0dAs789sZxZOfYTp+0uxLcqRDGxbxITfAa+njxl\nUNm5ZvBtEcycaDLjuNHQoAFccxlk9ooP1tpKUaFmqb9+Swfm8a6cXnZcVUVEavsZCo8zPmzuw6z7\n8Gt+vH4YG9cVHY0xIScQF77PfEzdfRiwRFVb++oRzKF3rKpWal0Kd/0OJE5/7eEFVT07wfXtk6lL\nU2zDqcQ67mnY4L038RU0dZqSPTAGoZw6t4L79cB8v+qw2/G7MLZctt1rMPNDKWYK2AvIYtCt3emw\nF7TYEaYvhaa9ITPJshBdgT+ehefOC545QVXLVC8i0hTTku0ZKPcBpjevjUn5DTSFHB+uT9wEHKeq\nu3qMUqDYe8BdqhpcgCmsvo7u/h/SZv3RiDNzJdRHiXf2bOz93UeZRvQhTMObjSXUPjB5WGzhHzA+\n7ASmpvZOJWOUINQ0XlnMo+tWp1nyNN3zpZv/VH9sBinxaa5bA4t4eDi0yYGTuoLRoD+wydu/orJi\nvh6e6a6x+paqcRrYbppaepFgm+tjPk7Jov6WAp3CzHJOe7VKY2twVRqOUfNUwU9i2v4vklyyp6qO\ndtradcB/VPWqJOWD92uCWRcOo97x2WwoR4+uwMbPakz4yAH2pPUl29F4H2i4G5SshTrZULtl8Np4\nrJ8FE7sFjz6jqmVRzmJpEq4glp3Wj8OwZ1yD9YPfwrSEIc94JNZnzlDVX0LMX7mY9DSsIlcLp4X6\nGtjPZGpvAOYmuOIynAJpH4wh34+yRGvXY/x+Jma624OE67sCaCksSpAv7rh5sEv7+GM5vv9xWqZw\nwawyCGq6YcvSLFXILB2v5sbjY5ZewPxcHgH6qep4R2Rvwa3Fcfq0q3mz3yNsXBc6vn/DIiOuwl79\ndFVdGVawqgjYW9tis10tLKLhfGJcf9r9AERkNEa849h2h4WYafIHjLmZoKrrfNf2BF5U1X6+Y9sD\n13HwERew1KXDl4bw249QFNdBlwBtuGFVKQ+0g6JAlHnHPrDXqfDdmzDwOuhxPGQEzO7J0sn5B8b8\nl+CZMt53GhYJ0gWTQn8kZPG1ul3b0XBATzZMySUjqx75I8tyJT2ELVY7EviLppiw0RGYjhixmOZ/\njylcezHWX/eHmK+dIdf95rhfLyHf78+r6jnuel//uhhzd/GSjr4Ebc+oOH/Ihtkw9wZY7ubfUz+G\n7keGM0s+QlQRk+RpgsNQsm49BRNnUWu7xtTfsROj2XerZZaW/eUCNnzyjXfqUGzyf1xVL3Fl98Nb\n+2HSPLj1anj/zbBqizHx/SaMaVFVTXtiRRH5HvOpGYLRHcFmsbMw/zcwAWAfVS2XSKwa9z0B87ED\noz3NAkUmYx34OeAbvwbECSVjMSfYxe5YFnAtHY+7lcIVULgM6mfDkh+hpNxSiE0wjfALWE67DZgD\njaHj3ZD/I9TfGdrfCJmVXGvOGyPr5sF7cevNX4HRhhLsu64k6PPYvR/k9IC506FRbZgxDVatAKNd\nmdigb6uW0DAliEgLjA7OqYz7hpjv6O/AoVD6RbzSLTfkisdwvH6Zz66IXAvca02/F/PnAlOkfUi5\nZYKCKF0JG96G1U57t93ucPiYcLNbBUxSqoKcqrJx3K/oxmLq7NmH+dJt62eWsslj8pM/MuJv71O/\naV3Wr4p7QV4mxLUA/5h4MvWb1WPkAxMY9cgvYKaL8zDzyezgPQL364Zx6yNVdWiVH0pkZyycsnkY\nI+Y0C09iUgXY2l3nVPV+gboHAAtVdY7bz8Ts2JUyQ4lIBnf8p4QH74azL4KefWBhBtSuCxsLofPO\ncOFe0KgtdNkT+hwJjxz7GsYQfoyFkd7IfbOgdZdYxblpeMgc9/vEqTB3IhTnwxKnjOu2I8ycBi+8\nB/mryT67LxkNsuIuzyaP0sIilj7zCX/8/WEC6K2qk4MH0wkR6Y0x7KXwfoa5FoRJVzmYNaI/MHMk\nMMhHnIIOuD5Mgra9kvscEXIuJ7APCRmlZExRIkxoeywbF5llotv7dzLjmBvDmaWgPjAJLp4DTyze\n9MxSy8W/MqHNsWHFPAFOARrfczWNrjyH/HueYs0tZX2tHWZimlTRuBSRNzCT2TnVMc279pypqi+F\nnKuD2Xqv9h1OiyuAiLTDtGIj3L5gdL/SaxWKyCAadfmG7faAjsdBrSzzb6yVBXW2gwkvw+LHoM2l\nUH9HKMqDBXdPwtJ6PAi8Sf/HoHswTicN6Ar89g68dQJ0/wtMd647ux0PY9+Fs56CFqWwz9HQIsA1\n5BSaT+HwYfDCEzDiS//ZL1X1kPQ3OAanfZwFZNv0NwhTyicyXQ3BZIMl2/vmmXqUTx/ucAYWDEZq\nySCDOdlyQs5BpYQ4PzzateCOF1lwi+VvbnDBSax96o1wZqk7gw8LsvgJ8PFKOGr6ZmKW/q73le1v\nt3ImX93xM989GLciyIPYjHLZzYvO3a5R6yyG9n+T7bo1ZeJrM6YBN6rqeyk1RuQazHfAP3NNAPat\njFnK1VU7FWIjIl8BB2g1nZPFnEmXaxpWmheRfYB76D1wAI8+AV26QW4Ia+2Xf584FX56/SngUVX9\nVUQOBIZzwwjYcb9Yudzqto7Y4Jk3Gb64Gb770Gs4/PdNGLg/NGxUVjzRQCobNBtbovnryNtud+/U\nbViysIrs/NWCm8ByMVPAdEzb9xbMcZrGHFeyGKi9Eujv1zqIJYzshEVZFWGOTiYQtF4J2/vcuILM\nUiI/gGowSh1ITLDW/r6EL7pc6T/0s6r239qYpf4acxIt3VjMmuFjmXG4P3sxudiMc0Xzd4b2yDp+\nMPn3P0PByx+ycfL07zD/uXIJNBPcb3tiCRv96FNZ7U8l6NFumLPckar6aWXuEainPtAuHVoyJ1ze\nAgxm0Eft6JDCPPT7yzD1YVgxbhDmO9oQWEWnE2Dft5JfWxn4x8v6lTD1QfjQl4z89Eeg33HQvF1i\ngSWoHdm4ETIzoUOZkPcBcMsmEOJewjgbL5nvS7ZpSFbMk4C3LgsqFcQWjS3AIjW9KC/MZeyIcGYp\nGW1KVM69syBtr4wQN0b2i9t37j1bLLNU8XIn+Ihws3pkrLHArubt69O+Z2Mmfb74Cszz7NORD0wY\n8u395jLS94wdmfDq9EotJ6yq94vIk1g02j6Yg+MeWIbYfye7NqSuVKWyv0JZ2tYqwRGTOZj+8/oK\niierRzC1+M4ccxEcNgToAR+Mgt4DzWyWiPRNGgZwh6ouEJHO7H7CcFbMhdY+e35uVVvmkOP7/9Kl\n8NVjsf2bXoRDT4fty7/2+XkdQhmmPJd5oF3tPGgObVZ9yvimR4AxS6djqvC0wSMk6oISfExCHUzL\neCbwgKWZqo8pH7/GHC2ZAPHciOtj/i/yu4iUAJksbmbuB32mQ/3A0jNVlNiChCgZc+RhXe5Svuh6\nFVpSTpHQ0WlytzqUPXdtWFp/dZkzTusrTmDxg2/nYP1nwsbxU3ose/F9Nnz8NQCqum9l7uMcdzMw\njc99mPl8AJYDqxLGytTpkaqOFZGDVPWrytTvh9Nmz8XyKFVXCLwceIisPrDHHdB6P1j5K2S1hbpJ\nFtFdMAx2uAj98bxvnQ/TedRrCgddHlsgIBGCNC6VOIQ6U+HWnWL7g6+CY26B+o0rWBonxNemtvPj\nX7ABujSFDRuOwRwS0+ql7Bjajqo6HUBVhwBD3DzQD6NHY0weq4e51LXDAvKm5hHid6bxkdQbRORC\n4KmyjNoLb4S2d9pckOMrmYhBKneuepru4lX55F74ACve+qbcORE5OqVKNhMq1Czdp39HVfn5uSmM\neWQccyeVc+9Zjdmm38OcCD1mIc5JcluFxOfH6a+qPycrn0J9V+Exhpm1oMT5Bv7nc9ju0MQX3rY7\nzBm7H9CQrCafsssRcNg10KlPrExuFRuVE3ZwEkweBUddYFJYXPnEzn5hTJN/oJVuKGRs/TKt98/A\nXqk4XFYEieXaSZriwBH2FtBzlrk73AtM+A3TJqSUE0tE8jFJ2nDAMGg32P53pbwWqQK7f0VMUjJC\nNVTKljJcSLzXwttYqHG9dGuWHFPqJQ1V4GlVfcR3/irM2baFViK02+9DufyHGcx+bDjzXvshWMzL\nkzQK81nynLZ39CalbRliKVAmYgLg7ap6WzXr2xvTDEHtJrDR0f/WveDiBFZogK9vsTw739+zK532\nmUBJEex1JfQ8sTrNKY8c95u/DEY+Cwf8zRgkqJjJStHfJhBMUE9duonqQPzpQpKkOHCCnOOQrr/C\nMhUMARcUlOK9LsXWIDE0uA4a32PvrivxwlvYO0sSXFJZAe7jln+jaFk+uNQcGfVrU7p+I9hYHQTl\n0qpUW7OULnpUoWZJVRna/y3mjy3zV7sf89X4TFVXuI/eUmMRZDeE1bOtQUSOwlICePamy6vLKAGo\n6gMi8jaQTUnxj2Unli00HVsizVKPA6Dl9t8y5i3Y81Q47SGoFYhsyyF1hiknybmuAL2ha+8UK0uM\n4GDLqFeXo1Y/zUdNLgBbEfgcyoXoVwllocIickQiE4cjQKtF5B44+VhMY7hfqoySw63Acq745AUe\nPBK+PsxWA/AToq6EqrJTNbGlIskVroq5MHQa0Lbt+qJMloy1YXrS+MtOeLPvI9cQFiHUocKqY1iK\nWyM2DhuBK1R1onMSHiciX6rqVEe4Dsai0iqNbPKY/f6vjDiuzPXnJSwP0Y+qOt0xfNv7/CNvqsp9\ntjaISCcsys3L6/EpZeuQVR1qqRYaAzuwcfXYshNtc5Jf2PkAGHYZNGw9gYJlcNK70LJShoZwJLpt\noxZwxHWpaaEq6ZTcrnQGy4+60Aso2EB6NEx+AfBVYv6zcVCLgpwjIp/DPWdg3t23YnkAUw1MGgM8\nxOFj/8Fnu8G6e6F3IC1MDnE0CSp2n/CQjEHyl80j22OUaNqvc6OCmQspWmNkedCTxw4acdH7VxHL\n0RhDS5I7p/uRSVgsfFroUYXM0nUZj8aVD0r5jsuuVqj9VoouGKN0i6reUVHhVOHU/v4PZ2ad71+B\nI86yDh3GMPU6FB4+Bi59G3b/a+Ib5AT2c5OcC6KaaXlSsW93YB40zqL3w2cw6fKXwXLUPA3s7zmp\nVgWqOsn5g4zFssQn9QdR1Rts3uV6wrPNl0FEwky5l/OSL8VCmOmN2DvJJi9louOhIimupIEN1frN\n6tL/vJ2Y9NbMstR2Hwx6EszPKu1wEUSL3P+1IjIVy60wFVtl9lpi4YOVwlC51p+8tlzSWOewnTSQ\nZBtFU4xRGonlGKp+LHcMT2OLwsYw8WM4fzk09Jnicn3n2+8Jq/6AfhfAQXdDl7gUVelDqjQpgba7\nIk03AAItHv8bv7joS+fr+LIzm1UJqlosItthcf6DUyj/P7EchR7dSji5i0hfyifcbc0I3226qPmY\nhry/9tnzKu0XmYrw5i/T89Sdqd24L9+cb2klRlz0Ppg6IO1IFz1KxWfpTowhSNuyH9sC1FaNT2nl\n+FThnMS91SbOxj5ob+AkRn4Fo5+BPc4vzzDlAlkHwCOLoG585FmFyElyrjLMUTVMb1B+ELY+qCcB\nfCMifbUSy2MEoarjxHJZxd1MbOmKkdg6X8+p6lxX/gaSaEpd5OMILG8UDXbfkUb7mdlzzfKNFDzv\nyy9zq8BQl0Ml8F49RqkqDJG/Dj/yyKZD7cW8oseXHVs0ElZ0zqJZ+/rM+G45WP6vGoXr07sCo51P\nwnzHuFa1ygXYsiKVTiq4LcM5nKfbpyYLcwk4GUsXcx7wGl6OsTsHwj2+5NQ5xBim2vXg6oWwQyXp\nURgqK6RVkhZBxcJIadsSAh79Z4jIXFWtsubSWWbaYk5JZRBLMPwSZqp6VV2iVVX9jCTf2GlJnsWf\n0+swF2BZWgpf/CdW+JUMOPZFYEjcHOAxSonoUTKkQqvu8+VW/e3D36nbqDY5A9syfdhcqELi08qi\nOvSoQp+l6kaJhdSZiS32WuD2m2P5Rw4HLvVrrlynqY0p1/phasdfqsK4ucilOlqJfDybAhJbEsGP\nU4AJdVs1nrbDdUcy+arXqH/CYaw/5mIYdLBFxnnMUq77zanCzdNIhDwkU2enygz4yy2bvJDXe8d4\n0nT2R9cn7sKSdgK8R1aD45o9ciMrzr0h6X1E5ClszacyND/lQLq+dgsbl69mQoujwi/01jbLKSwj\nTHswuuw9VCUlQKrIm7aGa3tYWHTzNrVZsWhjS2BpOZ+l65JUAoyYaxvAp7Nh7CIeCoswcyrvEZjA\n9T/MXHawWrb+OcBuWom1yGqCHrl6G3n+lc7pdmfgVOAlVZ0YLItFG/XDhM2JHi2r5D0FaIytfL5F\nCaIicjfxQsKbWD6orxvd9ve98m8bCgP2gx77wzm3Womg8Jbj/tdEkvgUEyCmgxb5y+aRzcY1BXzW\n4XKK15SZuDPS+f3E1jd9GMsoOZ9GTdtz0KHoe29URI+8hMbxGKVQuAHO7w+zJ0OdelC0If68h5xC\n+mePLmOUUhXUqoNrJS6YbxAwopzP0l8ZfFiX4JUx+OnR9BXwxlR+VNUBwXLVpUfVYpbEsuT2BT5P\npcO4SCEvE6K3qKUfcWu6iVv+pGFd6NICfrGlLo9wHDYich4xf5aumiCPk/gT1MWwl6qW71ybGAFm\naQdVnSki2S26NV3Q+7qDKCks5ttLPgCgvc5kfp57ZX6GCapPlNJAgDwkm/Crosb1OSkPVdXLKmxA\nipDyiyf78fH+1/f7y14X9+Luji8chi2JcReWAOVmV+ZpLFKzLzA2M6su3a4+jGn/+oBWh/ai8QUn\nMvvk29GN5u7U4NIzaDb0lrIb+BmlTUWcVozL5bO3Cnjt8XWsW6vdgJmVZZb8uPh/8MSE8qkDHCP6\nCZbB+CGxvFTDMUYDTKu1AAuKSCmBXwr0qD6WzXi0ppDoVkQuwdaJS4TggrttgIVZbRuR2bQR+VPz\nwFa4P8+d74qtgwmWMuXuBPdtRXlPr7KEmpsbEstGfbaqviAitZqffMBGLS6h83PXMb7x4XbWW6fP\nn9ZkFmnP7ByGzUGHPHxx/Uhm3PsJkHbhzb+gcxCLW//9uNbNjt+PaYMub4dN9rdhriDPuTLFmDm2\nPuZNCHc/BP/8BwDN3nyYDR98yfrXP4nV6r6hX6O0B6PL3oP/Pc2rlDNjalg+r4DfvlrCM+eMQ5VT\ngNcryyz58fEsOOrd8qkD0kGPUkodELhpZyxL3+dYlERXd7yJJsm+LCIHARkZAqU2FINvvnOAURLg\n0qN7Qe92cEds5Zwm7nwLLLZ7OrbqfRcS+yp44VXtsfXj6uMiozY33DP7O0dX4H+7n9OD085VXrg9\nj/rN67J+ReFVhT9OeKD9XlZuPh0S+r94KGOsQlCVJGIVIZXJviqak/b7d2H+N7NfTSejBKCqr4rI\nO9j7vxPLKu/hL9/cM45v7hmHOz+AmL9ALuZ8fgiWjDULoKSgkGn/Msa2++Ac+hxXF4psviwpKmZx\nnY543c6v6q6KyjsMXiqGRMgmj+x+dRi84xLeeQbWWWh52uHG7rPAFFV9CEAtR41/WaM5WALJai10\n6qTFozCp+nJsLQhEZA9VDVm9vey6JjhGqVmrWqxcUs5//yw/o+Rwa/t+Len1164Mu6Es9sLvtfwi\nkIeZz1uTGG3c776Yw3AvLF3KFoHAZFUfeKP2qmXs+e7lZM3+kvGZGVBS+jzt6r3UrvC3byS7TozW\n5FTsmxjWT5P1/zyy02oSqgoT5WEeHWi0Q1vz91Gt9PyZDKqa54TnRliCBX9ep9aLh77H4qHvgS36\ntjMW0ephIGZ5+Qq/749jlDKz6rD/Cc2RE0+G104uSyUyPzNeq+0X3oLIJq9CGpMKPKarA/Po0AH6\nnJXJ719ux/DXlqchAqA80kWPKvzYIpJ18n6sW5EP2bWheRb07QALVsPURfwby0EyHosgmg70Daql\nnTntZmBEyVAGyaU0xRxnR0/+J+/f+yF8MYc5InIDtg6R53jaafUG0yoBvH4WnPy8rShOTBvT3f36\nF9AM4ibg307aTMS5bxa4DzkEYzrXAZef+3TfNkPOL+HLVycw/Lbf2fv0jox6Ze4DSwecyOA5D7Ii\npy/Z2Sk41KVQBlL3iylXfw3YtIOYRwcKV28Af+hrGqGxVee9CewDbPLNgLLsDZ+5c3OAPVR1qeur\nd2c1r0fd1o1ZOXUJOx6Rw0k35pDTtym162bSgXdiN6oTL5mVMUoF1YuNmJcVczsK+x4T5m7HbSfN\nYtkf62mXU4vMTMvYUmQjbGK5C9KDvbE8WZNExPMx+6eqDvOVqbLpQkSu23NP7undC9q2gR49YMJ4\nWLm6LAP2ROA7F3bdUeNzz3g4HeCLdf2ol5XJfjLmMqD0q9ltHv3wlQJefmTtCyec2+CFd54raK+q\nHs2Q+eOWctmruzLsBhhwWgd+eHWe35F2I5TNJk8lar/zkfCHi1c7ijadcIEQZ2Pv8W87nNJn14Ne\nOJFG87/l3/1eoW3P5iz8ZdlfgbO59wGybz4zjtZUNM4rSwfSJYRVpx4/kyC/z6bHLccw5bb3qp3S\nJAhnoVnjtI9gCZ+fwy1AnNW5JQVzln7nu2Q/VR3pvtlkgOxj+pH3wTia79yag6/txU5HbU+Xpssx\n0uaQGf9cccJbEprUgflxNCdVePcpKVFePmcEP36yivY71CMzU5AMYe609WBLZdUE0kKPUuGML/9y\nLDx7GkxfDHceCev+gKu/gebtuDqnCbw6Bc8bt3vnJqwTkbJlRpxkMgiTos76ZT6DMB+RA4H+C2fB\n4wfDH2ug13Nchi3T8V9VVRE5dsRMnnjlTNrcdwyc8gK8Pk70o8k0UNWVru5dgNnJHD5dB0zr+nOV\nhZMYamlgQcy/39qodOjt+ex9cF3adarFgRd24oDdTAt45+nWaUe9MpesprXpdVJ39ms3kzw2Jhz4\n1VWVptMUVFVtSVB6kQwBf96imsF4bNHjtzHpbCiUpbl6EfgMW0Ym8/kvWirAwKObctcHO5Bb3I6s\nhb/Tp8NyOhSMMDa+AOrOjVVe2BH2IF7RUXcuMXd+P1JIkVroEvslImweQWtWuIgpP63jsVE9uGTv\nqQMxJjADWKmqG0IdGyvThUK+iqp+T8zcHgpV3b4SdymDiBwA3HneEbBsJXw0FJo1hk+/hfuf498n\nHArPv0+fVTEd99wRLwmDhpSZGuthiyE/Cry5cE7hSb/+sBbgeKDhD8M3cMqFDbj+nDWcdU4B2BqY\nnpf8NcB5+ntu5tDvevD3faYCrBeRnVV1CkbTugBFqppbwfNXS6OWDohI3WDUnIgMBL7r0L81Tdo1\noM+p3el5XBfaZ4xj6A2jKdlYysJflgE06nPKDuxyRisaO23ppjAjVwVV1Yz7aamnVenAPH7KEIrX\n1ox50Qev0d9j0btXAhTMWQqWM+0GzIy0SCzX388A9xRfQkZmBnX+aMkuHZbTPmMaMK1COtGhYH4c\nvUqEwo6JaU6wTj+8b1CCMvLdlZx8bVuev3XB3hidyMSYlVGhFbYkdZq0qvyhdNGjVJil/V45EwY3\nAnrDxc/CExPgzaNgQwncZunKyhL6uIUiWonIWVhYnh8v9LH0Dk2wj9/lkLdoimXaqouF95X5Eanq\nByLSq/1N/Gvi2Rbf95EpJgcD76llxR3LFg4R2RVzJmsiIodjz/kbcGGTJjBuDOy8cyG29u6UMitq\nw4aw1hZ5+edbc3rd3ahpLexxEz9yOsw5m4voecTJ71AJ0CC7MSQ3a6QDL2KavXcxNffn2AKrz6vq\nQqcB3AEY8+9LbBWWQzquYo+CMezrEZlh2HKYIYhbrMYblmFltycCZ9JNAAAgAElEQVScgfLgGKkg\nYSsMZEX2CFrJ9u0Aii/Ze2qWBrJIO8Zha8NjwJVn9uGRWpnw8WjY/XY49xB482q4+WVYGwjhmDgK\n9j9TBlCeGJ90Vs9fwZjgp4H1N1+46uqbL1zVH1twdiE+cVxV80Vkn+sOn/HDA/HZqa4CznXBKTPY\nwuGiP18FDhNbVHoyJiwMBB782/0dOPlqL7HNcmA52eTxeauVnu/Csjdzd2nRplNd5jGzxulFKgJg\nOrXjHt0JqzOPbBpkN2bR9+WTi6UTqjpNRM7FssWvx6IQl2JBB+MBXOqBTzEzLr32bshxGR8gCB1a\nzqfuDGK0JAGt6VqZrD+dy9MdD376k4yZmpfVnvXrSj97/tYFT6pqXEbZLZ0eVcgslV7LoWXC5zxo\n7MtzePrOMDgDbp8CjztvoYEt4PtlsVXnL94VHjfF15tY0rS3fM7g32OTVDKsFaB9bKkxNMW15jY3\nRKQB8EudWnQpci4Ru3Xjs7Ez4bT94dVv4O0HoG8jbHECD66DO0ZpDND9iEXjKXTv3uuwwQkSIDur\n5qKpahKe1AblmaZmO7ZizkdT9hGRN7QKC4CmAhcF4ZlOpuJLEieWlG81QIdm8Js/7ut59+vR1SBR\nCpNXwui6Nx8kYLbK6gkyUiHMk79fDHt4Adg4j3PKcSHLTye42xaLZW+w43aNKcu+28xptkpKYcBO\n8NGt8MGPcLpjZg7bDa6wp/wa4Ji97LzDRVhotn/dyYqWGckD6NcK9twFfrJ48huTXrEFQUSeAC6q\nXduWQGvWIuPxlctK6b9fHcZ8WwTwwD+uLN0pw3Pw9U18uTPq0m3nWsz8rViPbvkLFJTXlqYDQc1E\nuiNEK9KyJPOxyiaP7jvCxAdnICL1VTXB4rXVh6o+59s9zX9ORJYB2wHkzoZORQBr4XPXlT06koyH\nDAuxCkMi2gMJhbcgPJpUf+58sMj3q0OKVSn32qZChczS2iKYsRIa1IZZK6F/W7ioDyxcC+e/Bc/l\nxsrOOwLa1YcMn6vGgZ3KmKWTMOLUXURmYU6zLYC1mnxZlDq7t4Wpk2HiwdD3yyQltzwIUL9WJnjM\n0o2D4NiZxigBLz/3Mmcc7DMgqsJej8Iqk47nA/2/u4L+fAV1AxNv3ZCJs1KSQg0hjIlLhnlZ7eO0\nSUGm6S/XdGX8fSMuwvpP2kPHU0BZHpT3+gLfhpRIxABVxPwku96rg0A9/mu9PuAz3fkJVwNHO//v\nSkpdjpECzIH0aUxzslWhbi2YOpf/Z++8w6Mou/f/OQkJEFroNXSkKypWUFBEEBXbCwpYsXes2BXF\nLvYuiCJ2URRFRfC1IyKKDUGQFggQeiih5vn9cWZ2J7Ozs7MthPf3va8rV5LdmdnZZ2bu5zyn3Ifi\nHVC8HTZthatPghpV4KXX4KI3w9t+eBH03xdaLYaFa9S5V7G0NuLPQK6IVDDGbLCKRjJiVOdVz60O\nK9fAxKfhkNNhSQGtsUTv9hZkZQs7dxruG12TS09eaxtKLwADG/yynOqO8OrtT8D4SbB4+fa1QLXL\nT6BuRa9nIFG4ws7ROCxeXnHCbzL3C2k7uQmUk1r2aEzdppXZ8A9bYxU2pQOWl7s2wNBjoZmdeePm\nkGjcY6Olxz5O+C3g/AwoGx6clGtFTQb2ZY4VUv8Z9eKehVYVl1vElA5AyXUBqgmSj05W84HzPu0O\nUwthWiF8fgTUs5xoU1ZCHysFbdcNcM7b8LrjZm2TqQHEeZoeN9oYc6HPOVQBLkeToBsCvxpjjkns\n65Y9LNfiz0DH6pXg15tg2Qbo8TgAh1TIYMbGYVCwGWYUQP4muFmJ6P2LWnLqG0th03XRjw/El2OS\nUKZIgoiRe+MmP+eK0l7N5ZNHAY34aXoJ7x3+DCTQ8T1ZWNpguwDi6ZsWQiquT7RjuLd3jfmGIrj6\nPjXCX/uIrWhuQBHaGPg5YFKEdMBkAuOyZ+C5TyKlA9IBi4+2oYsIO2lkFRorGnBpF2hTS9MExhwH\nR1hjVpgL9S3VoBX3QVExtHVo7tfMgn1z4Wstto5ZDi4iA4ALURmJ5cBJxphyH36zISIjgDsAxo+D\nE0+AGrUADTuXvH8bPXrVgE/nwPZdcM5roV0HAW/+c6GOcyDEm0KZCD8573m/ydtvPw84+cnmpgIa\nkU8eO7btZmjliaBtrp70PEAaYcs7LLkUmq5J0UGDjH2s6+l3DGu8b38C1hfBM2+wETUFtqDP0QTg\nvgjpgBH0Pe6gAOeGhuX7j4iUDkgFghhLES1OrMqh+Z8eQdW+Dbz33VEC2a6Uqll/Q6Ns+Heh5sC+\nsQ3aVYBrNpUmJxFpCRT4JW3vLbCMpWLgMzNcZe3nrYV2o/X96hVgUFN4IcoqoHMO/H58jA9JhGBS\nL5lRGgEeGidsYvI1mMb8xXsXfLkeuAyYWBb3h2VAHIclG2C8es0naoDG4wL328fr81tQauIYNw3O\nGcUWYJ11lEVoqf1He5mxVNMYs8H1egbw5VUH0uOJKMuo3SVqJVZoRmg1vbQINv4LOZnwVxEUrYRx\na2DKhgg+ykR13P4nGvGKyCdAv+2/QbYV2hdH0fYTveBqn2Dk5lOgSqJF87GelXTyUpDn1MVNfgZT\n4cLNXNvqc4DhwHhjTJnkQIjIPlgd0NadBDXjSZ9K9cI6QeMpfzU0PYft6GKnFlAF1Y0aUV6NpSCN\ndL3KI1sAVT8qgLlF0LMedMm1t4dv18Av6+GkxtCiSninAy3XbsNs2GHg/E0w0Dul618AETnUGFMu\n9JAShVVxNAIYbKx2PC3XwzH14ICa8NA8b0PpniYwuA60qEhsV2ksd2tZwfng+OXuRAkdOSstbPe3\nMyx3wlk1qLR535pzPlr85sY1OxGRKm6ZilRCRBoDj7eC/5yJ1p4uLoTmboPJb/z9CMd9Xb2IZ6Hr\nGF55Bu5tIDTGW7bBneNh1PusQT0gP1hGkRhjSjyr4cox3IaShWzgkD9Ww0MzYL+6cHQJZGUALWHx\nRpgwDw5pBN0dC7ima7BU26DVerhkE+zr3Z3jHuBmERlsjHnTc4u9C08DBy+dSZ3WjYCFcM8J8NUf\nsGVTaUMpAygBTq8NF9eDbtUgO0jwNtokGutZSSRPO6gBECQk7uImZ35o3tZlpcJyeS3h3olt+PmD\n5Q9+PXnbgyJykDEmbQVH1sL7WuCa6xvCDY3iNJQgdrjfiSDjFYvDPLhp3DQYrtlYdxhjHnLx0Ygo\nn7rHkbCCt6U2OhTVFTnl/s40GJQH362BM38iH03ePgP49e6OHHDALqifBe+vgxqZsHwNPFXMZ8aY\niG7Loo1J34XUKqTuCYjIb2h/N9pWg7l9KXWDiVX71zkTrsmBE7KhVgZken3rVIXQUrV6S3Tl4dwv\n4ErOCWMMj540k7wm8MxzvAe8YYz5IMgpR4NYN7vj/0pAcV1UIn4/1/YRBlM8SGR1naCH6YYx8MgE\nJgNDjTER1Op8xlPlWRLtUTUOqIc6dF40xjwp2trobTQHbDEwMIrx44kYfFQJzXvoAPQ8tTFdbm0P\nDSpB+ylQtIMx1vv513Sl1X4CB9WCT1ZA8W6ovRmuWMIaoK27rF9KK273N8ZMCnrO5Q0iMgitrAKg\n5CkQO1VnIZw6FT6wRFbuagwX1YNqFaBqZppOqCzCdPF8tk9Y28v7bePzp5fx4ZvwxQ+8ilYXPpts\n8rcHJ00GjltYG1q4r0c60isS8XxH29fa7svZ0OsWlgADjDER+mLuZzwVnqVU8VFKesNZpfG3oHpK\nu4AHjUqK5wIDUa3pw1EF7XdRQcqJwF1++Sei7VReQTWSbjJWg9PyDhE5HpVWt3Er2ipDc14cFvsr\nhar+9jUq2ZrUJBwLyT5QQYnN63OiPDxAIIMJSiv5zpm9g5P2D+Xhrgd6GmN+D3J6VsntmWiZdzal\n1NoA9SR8AXw0CXJtXkpEXjbm9YyTbHy38djuuPvhs2852RjjWWniaSz97bWlNy4bAc+9FWEsNQAa\nGGNmiypszwJORm/1NdZqcjgaUrsp6GfFwUc1gAeBo1H3/p/GmD6WQXU02oGgI3AY8DlwKpr3dLuf\n58jSdbsD7Qv3qDHms2jblidYUgFOA/BrtC0Mm6+BKraxlA+FO6H+LHi6Klyegh64EYiHg9IRkouX\nm8DTYLKRn9OEvK3L2LEDOneEJUpPa1AR5AeDnJIV5j0TTdcoRCsynUksL6HClK9/l0vLbtmRx0gK\nQa+J3/UIOK5PfghXv8CLxpiLvQ7jaSy9QN/jjgx2ipP+C/0vizCWUsJHKW2kK9pksgPwk/E5sIgU\noyHACn7HF5GTUbmBFcCPxphT4ziXxsBWE6BHVKohqhxsJ6Aeg2oqrYBwzsviQN2w4kfSxlaq85/8\nPCJxklKpw2xdxhVXwegxoZc+RcNMO/GBiNyLGvahEIONY9DM4UrAbJgL7H4IOnZybJOoHr/vdUnQ\nEPLcztpmw2Z480+482lYvY5WxhhPp3o6jCWPz5iIhn6eRhWHV1kE9pUxpl3Qz0qAjzJQg2iWX36b\ntWI/ApXYzDXGbIyyXUU0wRx0QmwdbVuPfStY28+NuXEaYOkpPQP8CXRB/dsN/+kLbey19J4M56fa\nMxJvLk0cBhNE8lPFpfDe5zBgWKmXG8fKYxKRI3B0n8gV2GDNnMMqQ0EJVBIYt411wHeXQv8bXcdI\n+QI70bwyH37auRu+3gwXPQWLVnK2MeY1j63TYix5fEZCfJTq3jabCNZz7VysXkhWXpJnQ1ujopRT\n0Oq7XiLyM9r7qQZQx2fABwDvANcAj8f7PZKFMWaHRdR9UDHK7qAzdLqMJBtBju/7cCWSf+OMW8eK\nWTtzbtzvLcIzVwC8y3qvPLGUsXRcU9jhl8ckIgcCt9RE+99kof0p1qO19JWt7bYBs6FdF/TiOY2l\nv0nMYPLMdfJDUA0UD6zbBLVPZyXwG3BdNEOpLGDJFeyP8kJ9RyhwFWkWGjWqyeWtClwaFxMWk7wS\n7RPodbztInIN8B/Urp4n2vbmN1S9+0njUsSGUEXvZtQ2T1dAyxfGmGdF5BeUS2sADXMyLUMp4N2R\nLHclzDteiDWhx5tL437evLgJfHWFTmsT8dJyEelkjPnL6xQtT+c3AMtqw861sNuoC3A70MQRxBsH\ntVpC/w9RgSKn2ymR6xLoWsTi+yC5k2ge82kvwaQ/+RMYaYx5O45TTSmS4aOUGktBYYx5W0QuQDP6\nx4vI/ia61tI5hEuF70fDcm0gFKb7HV0tVboP/rXETj6xPiduQ0lE+qDqzc7eTXHD8qx9ZrlYvwb1\n9cexaE8YsSZzv4crMKH5PUjJGkwQSOyscxbc2gfu/Vz/Xwo0hS2TRDjR2wNRAlpyYb+ZhQaynaiE\nJpnNRmvs3Yh2DYOMe1KrQC8yco337t1wxA0AvBpPiMuJWHo2X38D31jSIDPUxIicJgDL5T0BLa/e\n5EwmN8YYCXe336MwxuSLyC2owXOliEwx0ZvwPoNWR54O3A2cj/aeAtWQm4zyUdEEWGHdvhdY7wdo\nZFMajmraAcaY92Jt7wd7UWqP++xOlHqm9/RCLq5nI6h+mQ2vCT6IweQ+po80gSyCSafBZZMhv1i1\ndorgz7dEOMObj3aBeg12rtUXMtHuHm48DthOq9nowi6ZrrPOaxF13IMYTQEMpuvehwL1xx5oXO2+\ngmBnXX9OcvLR/PmApUHlRrJ8lNIwXDwQkV7AFOAj9Ba83kRRZxaRZ9By8XGogTfYeutddK7rCBR3\nhrxiVBTKQoZfONDjcx7B6jyfiu9tXZxNoO0ucgkLPpcl0hI6shGPLlC8ru9YsB7m91+H06Yr0eSi\ny4apkOm+n0RkDDA0iChKMVoPvB86G7YOeEqxxtpzTJPVVsoLv37jGHh4An8bYzrEOBXAOwy3bUuM\nnRy4ahi8+FJkGE5EstC8vU/tRYuIzEVzy1aKKoj/N51huHjgeFYfAo4CevuE4/ZH24MsQtuG3Ga9\nNQm1wzsDVfaFOnWwpMMVdg+5oOfUBdXDAp/wYBzHE+t4+/XOgi92wvo6sCEBnZ6gi75Ut5GPy6BK\ndT5gLOQDC6FoEdT4OXyY3UCBRkLWOjcXkbbA3G/RZF43nGNsUI/S3xDq6u2HeMc94dxKG1HG9L/F\ncLQSbrSG1qXgFYb78H369ukTa0/FJ5PhtAGRYbhU8FFGtDfKAF9anz8f6I16kKLhCjQpfCeatV4f\nNZyOHQI9noQ6kyHvQbTrpePGmyUizayBCIKXUSXer0UkcH4UaIhHRIzjZzqWoTQYdYv18j1C+vC3\nx08QLC4MsNpciPcqz+uxcG/npTjr/In2uv2Trz8nN4bbGysp9UGTw3rAbpGIuvjFRAmxOPENaigJ\nujpcSykDPPWItkqOs4x6aSE8PAHQUNIegzXuY4A5Lu/uR4Sf83OITKzfYzDa8mQqcCIqXfKSz7a/\noi0bvkcTyPdFS7q79IATPoFmi6DOh+ggOLrj/CUivUSkWeRRPTEHzXecAtxk5T0FgohkuPhoIRph\n3u/BKmooNSGYoZQofyS7rxdsTgrkBQv6XHlxWL7rx+sY7h/rGNUrwLTc8KaHA41hjRUJcaIa8Msm\n/MdpDjqH/I12ow+iyJsI1/siGs/b8BijEhMylL4OYiilC6nioz0ShoOQ26sXmvl/KzCAKI4Xyzvk\nriw4R0TO/i+8OsT1xouovO5ydTJMQld6sVR5m6DEBNAA6CEizY0xS3z26QIc2lGVkMkGHD7GQy8B\nTkCbSb2JxirSNekG9XzYsB+iICsQ+0GKGaKLESLy3M4vt2Chz3aO9zOWwd150G0z1Nuo4bjL9a2+\naOK3jULrtRB2o833VqKWezXCT4xBJY2/RZPOTkJdmGWKoLpKwKC7AXjOGBOrv1m60Q2t7vldRGzP\nyM1o9/R3RBuELkYrZcsTzkUbeW9F+SUjmrfbGPMppe+tP0Tkre+hwF1EdhW6ynta/z0duFBEjjbG\n/DfaiVg5jxPRW64jcCyaVxXVOS1afXzuxfAYhHPyLLS4rjLcWEUNpIfRBYEbZZEm4PcZ8XhEAoeS\nvLwi0Z4rG15cFu347u0WwtHZ4b7aLdAbarl6IJ0LmTVA062A856ZjVrhO1Hj6DbHe99YPx2A49Hy\n81iu1qBcHyhNINp4QsSYjtXa5G1oBeqeREr4aI+F4RyfUYC6x/oDdxpjXoixi71fT+C/Y9Ebxv0A\n7gSeRW+6zfiH1USkdldYMx9dLnZAk55sCSRjzJ9R9rsZuC8HfRgATkPLb9zVnYbYN3WyiNdgshEP\nQfk9TJ9vh7eyYXRLl05UvCWn0eDnmbLeW1yo90I//fd5Y8yl9iaipd9zr4Km9ljNQpO4l8LzwCUP\noCG42mhCwSpKW+lt0ZyCDqgexn5EXteEQnGQdDiuyQtQNQPmro2rYiwiDDffeAUFvHHnZet547kt\nZabgXQZ8dDtKpD+hTsqzY1VYWvtVBTadg+bEOWFz0+dowoRVqhDVWBKRrGGw43HgUvR+2gbciPZ8\netVf+245qAzJUjRP8lqgsWtbm4/KwjhKBsnIdawpgdM3wuvVoUEm8T9fQRGFhyA8vtfp32uMMaVS\nkkTk1YFw9rnW/5tQi71YJSrufgRNLdiMXq916D3knJCOBFqhvNQNNZL9EGRMU5GC8dR8uGo2AFWN\nMYGC+15huNGTa/ftcVxlv91CmDapmEv6r02LgveeDMPZGIPOTUcBd1sVS76w3NiPnVMJzrUuqvsG\nyEJ7OTyv/67zCMnYx2oI/JgB3IAaOjXQchcLf3jsU0FEJqALgl/OdbzXnkhDaZeey/1XwXXlIqM1\nCfi5a+fvhldWq1ZLKURzZUP0EJtP2K2U29vhHnaem1Vee5qInG+7v42KxA1/EtZcBddeBc+8CvlL\nVVz1EmDbvoSzAyugk0xPNDHuRLQi4TtgNFrd6JVBnfIJKNr4uVzjTx0FjfeYr/h/BtNQG/kC9LLH\n6sxoG+GPN8iwGq5FQR/U623NMZ6ChVZuxaufAaPQe641WpFZF8098ArHich1aLqC+QF1oYIa825D\n6W80YbgF3NMPl+JrOUMioTubBzYZ+HInTLeamPumDCTz4zq2F0daodhiEXlYRJz5hLe8A1v6wYP9\nYOTpMKNYc3Grgy7KGgH7oMZSbXSOqoVWGTREPU1j0WS7kwgv3KMhyHgGDnP6jOf5WVBBZ11P7+ze\nhvJAraNQd/MxJ0O9iTBaVDZ+l3tDEWkN9K6WybNXVITbq0QcKwJWv8etKEf96zpeX+CVE6F+b9d+\n2ehE+KRuNwFNGD7ZejsHXbSdCizdhMal2xFZWQVg9ee8FMjdRrhEPdVYQOLepVTgihy4vLKlCBzN\n9Z0sPB5Orwe7J7AD6n4JoxcCInIbmoz7NjpRnY16D26xXn8ZrW66zz2G/6CTT1u0rLEIffoPJfoq\nzU9iIKq728/FDdElGqwx2W8hzFwLInID8ES0yhOr8utUHErO/4cQpqNR8yevhqOfgP1E5D1jTEQE\nXVTc9Ejgwd5ZtHmtBhQHyAHaB1gIBxFyXoeOlwd8eBDsfwtaFOLEWLST7Sa4S0RuBXJMWCW6M5p3\n8f2T0G0YmidpV8K4k4WtC387cdoiQdMIUs1D8Up2LC6EFvWgpC5ELJO9Jvhoz10ckgZuHnIObBNg\nJOR9Atf/BddbxSZj0HvgcNQBWAi8it5/k9EASchR1Bod/9WohynDOq7dfaYnmgYSy7Nkn1vQqulA\noTkP5AANBfIND4vII8aYxV7bWfPwKJSPyy32uLFkjNkgIncD09rqS/UJN/oEQjolp1eHMSdUhKGV\noZeHiml7vJ/87tDkAL3PnO69xzJg2CDgENf29oO+npCVfqq1T54xJt8YU2SV9G4D/n5N+efpMzQV\nIAJWvW9uddLryisrQ8kvth0ipiAyA26kQO/Fef1bWj/Lge9h5K8wsj5qCK8HVsEYY8xkEdnX2uXo\nfkpev4yHy+zG6qMdx7SD77uJLZiTqCZTIHgYnm/Nh03ayfEh4CERyXaHkESkH5rkvhVLVX5vgojU\ndlcVpRJWLuU9wFbL7vkIzRcK2QlWPlH3xvB1p2w4PhuutJJOFnsc081L7YAiXYc95TjmKcB7x0LG\n1XiH7DOwKkY0x5Mr9BqKdd7nisg5QLe3NLK8+184xqvz7w9oskxV4I6ABnO8uZbO7VPFS4kYTIGr\n5xJUIovGRV7zUHVCxi4/wPkz4fwS1PO3AiiEO9FWHLtF5DBgWT9d4G8E7psMP7ZGx/Mi17GD8JHX\nOcaTswrBx3NxobpnLZq6HLhcPHq9Wp5UO/cvhmjJnkVMY0lETjRReiFZ7uAzgHcS0U9w4CuAB2EL\nuiCqJyJL0dXSCWjV5I/PAGfWiP/gfYEXgCdFMq0bMQcYdiuRmhbOB7sLmvF1DJqkuQ26iMgaYJsl\nULcQ9a63AaZHy0tqhpb8FaEiURdSPuKfNhKZ1AOvOiBpZeBYLuFYS+PG6HU8FZXltpUBX4DnReRD\n1B46AzV6VwKXvo26AqMhKDFFG1tf71IQ2Aaotf1uAw8Va/jxIc1TH4el4wKhlgr3AkOAvsaYKdbr\nEZFhdy8+P2xhB/rYlhnuJpS/HwkROQb41xjjo4jjD2NMsYi8/bomY7cCllph/Gao0vfdQNFQ4O5c\nnwNFQXfUjSkibYwx862XrwFuGqaGblQMQy/ub8DPhCYbLKP4eDTdsj8waxLqxXKjgfV7M+o9fw2o\n6domlYUoqfR4x1OYAslpOyWqOxWLj6qhk8axqDGxCnUJXqstaI6xvOC90SjbcnQefN3vmIkqnaZ6\nPJ0YiYYMp6uz6xVcKlUiciJa9zDWGDPUei2Cj9ZSmwKCPWjrWI/WL6ceQTxLU33eq4o+a6+JSAVj\nzO5ETsKqOBER6Q1MrA8/brdOrjVqrBwKfRKtRNofre9F86/fQT1CWyqHXla4H+gsNNkO9Itu01Um\nqLTAANQj2tIYs0BE6qwnFPYrhb6oNbgLLbd7BX049oiUbxQko0ztRhADKlkBvCCxA9ttbaMCpdW4\n74e8yXDFTLjC7mGhjgXpWy3KMduj1Y2b0eVe1YDnGs1gggSFKl1GVf5qPR9rpm1sHK2BJCy0CjDO\nNpT2UtwZ4/0vQKtbjTHLE/0QY8wZInIt8EMluLMJ3LkKnbV6ozG0oHzkvldzUGtmvIaAz7NeLkQN\ndV8ca/3eQoiMdgCISEfCuSEHAuvm420stUJn5a+tHc5Hc6kCdzROAKlOEXCOaarEGVMBP16yv7/N\nSYK6Umxv9SQ4+mVgJnzt6FdQGw3HrUMvXQS2o6kCzVFDLBHEazQFQR9CpX83GWPOtF+3wtfvoF+9\nBM0XLfeI6eCwVlmPeCVeG+3QeyZwSaKGkut4XwA5hWgQ9wiUWN5A3UsNPKRNg9zsgro/28Lb1grx\nIGCxc6KL9SDbXoYaQCflmnlYETxrMqJzlOOMQT1ToJUNswmmlREvkl0NpkMLJdpPsucYFH7XtQqq\nV/EgoYRw+ujK5lAvSerZaLl1N5QIBqIKf7VQN/hirIZycZ53MmPi3PfM8Muh/mMiUg81lF5DRVr9\n9MzKPYwxa0RkkIi4IxE2OqP5ywlILUZ8VgHwwzbU6DgdNY6/RPnoO9f28VzD/kB1OFdEbFXvo7E8\n7EHg1GyzrOK/CIczagO1o/XBfQOtpgHls21owky6sYD0SKekWssp3Wjt+rGRiUYdXkTdSPsA9dRN\nchQw032cVahmzSkoL52OJv6sRpMyV6FEEK01hhdSMYb2/g5nwD2ifRVtzMBqcm2MyUwyKlVmCJqz\n9BSQJVZdn/MNY4yvezABHG3gwclaBDAH9WxlAPdvN9pU0IZfQp0bXQkJlOwP3FoBOjZBW1sEgZ0Z\nPhgN69xW2nP92fVo4rabDCZZ59Xd+n+D4+90wP78ZFdxqdJCScfnx4sgY9EGveGslgJHfYaGYaeg\nOin10NjLNo3oDkUdj8/cChfcqo4mp8T+k5PD9nEp+K3gkuvNxBoAACAASURBVF3l3oPmRTwLiMiF\nxpiXjDGFInKdMebR5I4eHCLyMhoSKjTGdHa8fiWqxL8b+MQY4yX1EwSfA7kiUsOtam3JfFzjvVtC\nGA7IZFWjmIcankuA0asdqy2va+d3D1dFE3I/gsEi8hdQ826t9g8EO6v7SLRs71NKlddNOBldbLqx\nCBhPODlkI9p+PZ1eJTe8DKZ0JIT7IV0cZh83Wf6qCTyKGuXAiCqo1WQvxg5Fn/eFej8uRdOYPp0G\ntadpEWQpTnqf4HOdjXi9Te7v3Bw1/C7S891GOEvlKeAZryKudCBVfBRIZ0lKd9u+DZjqTtRKNZyG\nmVX5sa85lIHRehkFuTk/BF7QXLqGoN6r23z3CONFtGTPbn8B4dnwdrz7+cxDG0n1Qks6R6EsayNI\n241UYE9UyPlViZVXGNQl8UX0TcYaY4aKyI2o67i1MaZEROqiBtThqNMAYNT7cJ0fQaWLsMeihh3Q\nwIQbRXrCS2dpvDkt+Gdd9ivTnltYSmdJtJP6ZjTk19l67Sg07NTPGLNTROoaY1bH871c5/oV6uF9\nA50L3ncv5FIJFx91BT7dUZc6WRK/oWTjd+AmnQNDk9oEglXLrkHLOUEXZJnoNf8RDRN6WYvbCHmh\neBwVW53geP8BSosjlgeUFXeVxQIwETxLlKohxWZ0LmuL5u3vb4yZY+USX4xmNtpOw7kvQ7sG3sdJ\nK1YRijVfb4wZ5betl87SDZO79d3vuGBn/sukAh7tP72UzlKq+ChmGM4qZ72M8H07EqtTcjrhIKbG\ntSswcmGX5Awl0Nyha6ChbSD9gnejVDcWEO4U+hvqQwQlp8fwNpRA3fW28nMRpQ0l0Mm5LLAgyk86\n4eUaL8+GEuiy5xpgBOHKfJc6xcUAxpiHjDEtLUOpK5pv8gBqKP2DRumOHIL/NU7XmNhxti6wUoK3\n1kgZjDHfogWHTlwK3G9X58VrKNkQkVwRGQLcZ700GC04jfYYpgQOPpLDKjBzTLXkDCXQHinXQe3r\nrf+bErx2Oodwjv8YwqG0d/A2lBagFmVD1GORQWlDCUJimeUKZclX5RGXocK5zg7M9cN/HmuM2WyM\nmWWMqWgZSpmEBeNtQ2kIMGEoajGUNeoT6jT9iIiUuZp3qvgoZhiunrC0UBnfduPfToyKjRTjwUvq\nQ4uC8AuJGEqguiW9CbcAaELsVdxPqM+/NZqs9hTwOvy9DtofF2Ufg5r59rntRuPJQ9GZ1M51SLei\ndyy4CWhPajTZ2JMrPPt6HWT9rETvjxnA4+q58FJyrgv8ZYxx5o4jIlWLYcLxOsw7gCUPw3FeScGp\nlhjIQL0WY4FlsFhEjkXzebuhFV2LKPv6gjbAkSJyHzq3X2+M+Tneg1QT1m+KtEBrGWPcZJguDN4B\nnFspOUPJhp179CPKC7Es21VoGK0FatSfBUyEGRNh+0Q40kNRhQVo1dV46/9rUW/Fpegizs6jaBG5\na7lCOnTkyqtHyYla6MK7CPUorkBDr8XGTPfY3F7fVTfGhNKVRKQOcOtAvYXWAMXDoOsxpL8yuz1a\nmvsZMAKmWdV+96PrhfZoBHkxGrgpK8TNRzGNpRV1IEMgdzVsVJK6B7hnoggnp7/1wEmNsxly03ZC\nVzRRQ8mJLNR1nUFsg+UPVKXOuiufQHPwTpkGc48mUjiuBE1qsc5tHHD2X9ZndUHvhkOx4oDlDOkU\ntdwbSMl9jvb//+gvz9pVE9kjzH79fUuLqx1aCHnoDSq6O2qyQxU6XeNSDQ0THwRcn8GUrQb2yYQ2\nmfDPbq2g+X2XU6g+jFjSAf9+tYx/v9JCs3kzN0PY8eqHCkBNY8yhInIQ6gSJp9kNoHy0erXG3m4N\nv7zuGhEeSz8fNWuUwfgnqionupGMd+ImdJEVy4ItQSXGAUarc3w1KmR46c9oHNiGvRj6L/CB/jkB\nrQimhPC91wblwSBihnsSyXJTKp61hCpXk4Bzvqtu/WRjJQCJ5BhjSgl2G2OK8JjWrMKIDJSPMoFG\nj8OYx6HW5CSir0HHNANN+jsAuApGzhdG5gocnKV2xbxdsLgk5C0uhbXU8uUkJx+tnrceSuePRkPc\nfBTTWLJJYV0dmLIDamdAj/UwvqImBjohIkeiVRkdgYOBZ90XMyhE5HjgpYlVtN+VG37EFCTJOciy\negGaQLmTUJnuCagn8x5Qc9g2lq5SD0MbNE1pK5pPcTOUIvVQuWgrdHn/P6ED70A6Jv+yIigvT8F2\n4E7Vrol7LjHGbCdc+PiXiOwGRvWDjMlQUhZj1Rz4j4GCEmjmvulXmQni3QXIF616NqFVT+0ft6Ww\nmGU/F86PsQtolOd9AGPMTBEpSURgsoqodTAYLUVdiHp+H8fqHuuAiLRE81oFdeJMMcbMJQGISHPg\nixtzoFt2fMUlQRB0dd8QzX28Th3W2ag93A5Y4kwp6KffuwHqDD/M2i4LNZZOrWxdCwjLnawE6lAO\nlIpdSMRISvTZSohr4jb5LQTQVHOfz+JCOEIdS6OJk5OsULJ9q/4pIvsDq/tBq0Wu7hbpQgNgRl1Y\nXAJNM1w9RFeZW0W7C8QFJx/NmbSI396aH4RT4uajwM9FhkBfyzJokQndvS/T167/HxaR440xk50v\nWomkFY0x21zbYyWTP9Qkm6veqQJdk1juJFMZ5tTC6IUS9HT1ENQDBuxAl2nnE6pCsWOeDwK3W+KX\njwD3fIFWMdRHB3wGKhYzAnUxlHlSSRSUJSlBCoygREkqCpq7/t9h4OSNwA6OJ6zllwxeQ6Nj42Nt\nGAS+4+cYmywc91iSAqFJYCJaLvy1iOwDZCeqxN28nk4ardCfeag/3wMRE4CIvGyMOd/j9UpefGS9\ndybw2JNVqXNlTuq1eeJFe+A6yHwBOm1WuYGeQLMnKfUMT0KzDqajhQgbASzj+P3R6EKtAVpufDXq\nNs9CjbHygHj4KFXNwCMQL8fE05TX3jZIGyjruf2qGrCJ0cDx7krQeGF5m6aQYkMpyPi22PMig3Hz\nUWxjyXWzFJfAnEL4OCNUZg2Eum6DVqHWRw2LKbhuBSthfKn19whjzF2O9wQYc1wuQ8a3hlquQtqy\nIil3Lo+gOUd/QtvTgdGac3fgYdb7dsnuNcBjMNKR29IKwqqedgLlYWjgGJTRrkevXGNUJGZPoCwM\npXJDUrGOYd2xb62GT9UE7uZXVSYil6EeRYCTjTEfRtnUynOk/gtoSW2HKBtGQ9QxDDpeKTYwvSAi\nb6Ke1doiko/2l30ZeFlE/kBzuM72OURMOMdhVGxeqGtNDMOIyNkHa8LoLSIbjTG5rvfObJbBaxNr\nQJcoC7c9kRzcC9X4qgQ9J6vUzgf7l96kdy9gGpzhMJQE3YffrY3s7vWHo8bSTpTPfkTdVl2JTDUo\nCwTlo6AcFJh7gjwfQbkm0WcyyoJm7U44bxYAN7sdEE6ISDvCt+XTwFVelaIiUgPVcPp3OLTqh6aI\nxHO9A41rrHFI8wIuVXwUt8d16Xb9/c5R4desDHw7mayFQ2TqGI9DDHH8HfIcWx6lsUCb99pAThKW\nZzrybjLQye05/fdUYPLz0GR/qHGutc04wBizGULG4589Ka00l4dmyG8DnkcNTqe63rNooucb8PEg\nOGE/yqacNxEvXCJS+Sl5uIKQVTJGQUtgITw8BwY3hdeXmB+ibWpNQDnoJa0ETBSRdcaY2iKSi+bg\nPokKf9uB914folIWWL87458/F9hISoHRmB/HQTZ7aJgbYwZF2fysBE8pJka5TkNE7DXKIGPMGuu8\nHnfvJyJNUA8MuIpjReRC4OGPc6GTxZR72qvkxMVYcX5NUbvtVxi5AvUSgeY2GWOcS86JEBn6t+UK\nOqLG0QeEO/xuRL1Pr2goesbtcHdayw4tBOWjoBwUiHuS4Z1UcJZzW7e3qSU88zFkZ8COkpgFVjXQ\ndJHdwBXAFSJSHU0P6Y5OSd8Rlvxr9Q6atAM6Pw3B22hKCX/Huf1q6lIl4ACu8ZDgTBUfxTaWXOfY\nFhiyEy6ZC++KZFleFLsXbR1L1TsClkF1EqWVdR9z/T2ooHZ0Q8l2v0P0prnpRDN0BTZVy8R7Aqt/\nRZPWLkSNJRHZiHLN7xC+M208Yv22q1Yus/b/xfG/RUbT58AJH6BKrl3RVh3pzidIxmiC4J2swefB\ns1ca0R4im0j8np+FPvvb8Ns/Dxr8BG8sgTdKa+y0Rlv9vY46CJ3ix6+gqR83SWSPI3eG4lnA98DC\nk6xTyUEfpGGUVjyNyyOXH+N77e3wuKbjq8Ndi+A6q9G19XIv4GpjzFvRDiXaVHiO46UBjvf6AC+O\nqxY2lKJhT3ARqIV0MTBccygPAEauBN5CQ2k3ACKyHZ0YZwL9TyGU7A2ozpxdEVwPzRR3Vgh/Rii/\ncw5Q7zE0e7ar9YGJttcIiqANeYNwUEzuidX82493YnGWH7z28fA2tTkIdvwFaPhoKoS10dAiubsJ\nredDOAH4mEiVHLc28k/WazvuQRftjTI1z/HeqrBv0Ikn2vf346QgYchygPiqBq027qOPg+JdcM4h\n2B6k6cC+MWJ+B6CLmA/Q6EMNxwSUV0u4dHUdaOg0lDwG3nmTtyc9CcVuGXonegMdtHvK0+jNNe9E\nVGDnDqAPVO+sLZyuH0jkV/jNOud21v8d0ZpJZ9muZe6OnW2MbIOav8P5L8P3TxAO+RWggldPJ/gd\nYyFRfZN4dJVitj9Z6PjxQj7+D1qi+1v3+dQlLAAecrmwbTt3CGFDqT6q9XMuWthk4xHU9n3bElpr\njRrZs4wx4402ex0ENMmHzvPggHHw/AEwbwq6qocY3gyv7xZrXPZm5BFBvEPqwKVNoGVFljrSATqj\nyc1++ASVpWoMNLeFdq0J6P4PasBZLm2RaIbrnqr27AwM0HXcD+idu+4C63yeAvpD9sk6uQ5vj8Ya\nnNHEzx1/F6MuiWIoVSbZVX+NN8ZcuRmyl8BxE2D8rbDS1o4rQotgroLQpJBqBOWjIPwTs8VQorwT\nbb9Y+8RCL5ihfZR+Rq+1Gw0JG0oDCIl/87Fjmx9R7/fr1va1Ccs2HWk5Pg4DDl8LLf7YTZePd3D5\nfutY/WIxLIilt52IoWS/vxcs8GIreEcRAN9SD6pqAfQRxhh3mySvY9lx1CHGmDdc711zbiUeHVsd\n7wH3uJn8bvR0r/J2oBVuf6HEs1O9YmOfgt8zUObaTZiU+lm/B6AGVbTmq7uB36rD29vhHQ13hpqB\nWgT+LWp0hij8YEr1BEsbyqpsNylXeTLhuTzX+y2gQid4dSwMOSuyJN0qw+1mCZ7Zr+0D5Btjit3b\nxwMRuRidxNcvCt8+gRO6IxBtXN4xtjB1KQXvK01wGbWvLvuAP56bXkrBO10QEWMGeLxhTUI1Z8KG\n3TxsjLnRYyvP4wE/G2MOcr3eDvhvSV0aeBULBgnFlbWnaRKlXAovAZPHwQcFhJ89m49GorPt8eiM\n6ldg8g8qnzJG/x1uTPjmEO2sMNIdNXqCstGQS3UCeMqfr3iNB6/tHavoM++BlZsrMfXDYs/hFZHu\nwHRj9WkV7SyQZbTHYcIQkcNQR2WvzXWpXiXaxfU6/3g4+YHSfGR99qcnTh7at/lx7aLsXBqLJs3h\n4/6vlFLwThUSNpbIg2Ofhi/m8owx5oqYHySSjVZiY1x6KJZo3ufmUJ8DRLG+E80hSJbMdgH3Elbz\ntlEdTZI7HtURqIEaR4awlolbCNP9kO40kB3WE62EGkg/oJx1PvDjQDi0MRprsN2D6Va53SsMJkgs\nt8DDWHpmKtw1AtasoakjvFMmsHIMCv+Fivb1TXhc4jSWTjPBi/V+vWwsC5+bVnbGkpOPXJzw3L9w\n2S+sABoHaX0iIj+gK+nGzgnFGvuNs2vCfj7VuMnmLyXKQc7nyHkMl8EEaDi3PqoX0A31VlZAidhO\nbKkR4HO6A6pkQz2UclaieaobgLwhKK/ZlcNlhXg5KW1GUyoMJh9jaXtT+OVXOGVgBqsKSk43xrzj\nsXVaISLfTc2lWy8v5dN4DSWv7aMYS90m39C3wXHB9CoLJv3C9P6PpsVYSiwFxhqE63vBF3PpE2QX\nY8wOETkZTYBthNoOK4wxJYT7zkWHPbgugvTSoQiCZHuXVUDL/zeiiSebUN2ExWgJ4Eo0/jLNtd9w\nVFsANEbj1YVrRmmd6BlYyqYC51szwKH7ohaUE37EkW5DKghSrVSdEILkMlm4YCisWAH33sf9lI0D\nz4nOwNqW9WgUODH+/wc4KxZdnHBxS7jsFxqiKhCLAhytL/oInygibwO7jTGbjDFFIuIpPOmEfU0S\nNZpS8Sy0d/19Ohp32YzGXP5GZUvuRRthuVX/GqAG1d+oh8lpbNnP625ChhKNoNDhpqhm/exeBJk3\no/lNTuMr3bwTr5BukIRw3+ctGn9EyxWMg28i4JJUP2B/eGpCbQYetvoJEZnoKKRKO6wFRPO6ycp9\nl0E1broQ3FjyuBGa1YLa1WktIpWDhB6MMR9aLu5VqHPmKTTMPR3YID9ytjnU1n+MAqtSKRrimVS8\nSC4RAnM6xHajughZqLH0KNqEFzQr3E5ouZXSop67DFSwyLl7NpTU1TLe+7ew3/QseKo5tKoEp/wD\nH63XxMzzCTcCjmXklYdWJuUCca6ArrgMnnpWhojIDcaYFWk7LwdEJLd5Bt89bmXPJlWBEnQFu7fB\n43uJgWbV4fUTWUiASJBlFOWhKTevoWXU1a2339t3HatL6nJpLN3OWNenLCvomgGXO/43qOvnW/Sy\nX41W4W5H9Qamogu7nmj7Exu7CQv3ZkJoQCeiSd+DqsE5leHZrXD5ZjJ/AE5EDTXnfBqLd5I1phLl\ntXKxcHPC/Uw6DKXtTcN/739oRQ7vVbHBUec23k4ZdcwSERlUkY3VJUqid1BOTTRMV04QdzWc8wu3\nbQkNx8HaIvYlMiLlCWPMPAiJo12JakDsFJFX0IVRKfyxFdbshKOcy5UoXqZ44UVyyRCbfbxWjtde\nAEaVwDdrNKm7GeoysMVemtaF/htgkq4R5qNG5NZddTkwW+CgPLhrHizZAW0qw7tt4Md/YOoO6JGN\nMiHhB7+8NoSEFLjAIfEQXBBjwhGCs1GzJvQfksMWqhRQBuQkIlnAC/0qwklBBE/iIaAyMpJE5GU0\nEl1owl2+H0ZTZHagInjnJSSq56VJYyXNiMDAdvDF4rCgVSwYY5ZZ5/cj0F9EqlryHw8BM9yG0qYS\neG87nBerqaQDQYzdVPCO17EE9Rz1t/7PRKtP5qFpAt3Q7HYnvX6LNu6y8AXQezrqhToe1ZNrt0uT\n6i6tDIdnwZT1sA4tWImHg/bUIi4pqYFkvEUQ20CIYijZOPeaqtx7QwH3nhVdSDVVsELzQ3/bBTNr\nxdxc4WMzeL7vtU0KkSo+CuZZivJFXp0Kfy5hMZrrnCzmoVXyISNoq4F9wwHw+ubQkJaj73kFhoex\n5XxA4iEwP0KsmgH9rPczCtUamg4Mhlqs5gm0AG4W6pQ6BWBDU6idBY9ZzNP7byaaQzk5OwOObAdH\n2uder/R5JhteTAf2eHJ3EIPCw1CycfXdNejbaTVPn9HBXNF9TroNprVAtUeiVQFA8l6kGGSdrM4S\nqpf2FKqmYWMKmiBcIiIPoBJBN3nt7Aufbq/zVsHDP1EInHJX3AcOycrYNT+LADFGjTAbV2+Gsdtg\n6CZONocyMVWCeqkMs8YKDwrhalxbFPVf4Eq1n2oTlln6Cksr71e0seFn1htPFFP0RDF1TD12dMmC\nLi5ZFxvlefGWMOKZd4Js69zGx1DKz9GWHj37VWLcS7s58tRaxaR/AXcHcNdbNSDH/Unx8KrX+wHH\ncTV12BmQk9az1OvllPBRfArejgtpDIx8D1DRt80xjxOJ29DCDBvz0MVK6Pg1w4bSfLRNW2oRo/Iu\nHXki9epClfD3Wmf9PtMY8zqAiHwCFNbO4lyA3EwY0QTuXMbJly+CZ+xr4AhHBsmdCGqwJEtuaevJ\nlEhZahLuYZuo8nOakJsDPQfUYuKzq7jyiLDmUpqwZnpNqlV2ElMqKnHK0N1tjPnW6qXmfO0Lx78z\n8E7XCwz7+jidb89MAeB5Y6KLiPrgbTQNsRNanr0B2LLBUKWmdS2e26qGEmpMnAqkbkWcBhVjL17w\n8kCfQUiEx+7xN9MYczCAiFwO3NbHavdTjHqpPtLCk/kbSiA3I/x5bg6Klw/SZVyltdtAPPAzJgIY\nSgArpDH9L9nAqIsXI/dKbjRtwxShyvU50NltKcTi1niMJJ8FUCqQKj4K5lnyuIjz50Px7tAHJYJH\ngHdB+zJdUI8vS6wp6M3qMHgBW9Bo1T2oqGjZhJijkV8KyGzmTjh4fejfbmhuOJTOA/8DGCg/cnnR\nQTyzZDsMVZXKls+uYuFjzVTFtdS5uowmLySb+J4upMWblKiR5PPQnndXY24+8R+a7Z9bcv0n3Rh1\nwg8ZaTKasho1J3bPgWS8SHs+Z2ko8GYiO7onkdD/TWHyJYDqXcUNY8zfItIZmGOFHgY2z6BKjsBf\nu6DTOr5E9YpA0xT9anfjR6qviceiz200rUcNH8tQ+hY4wnr7bseRFgEVWmlY8rmrYJElmNoAmPzN\nTpr1d9yriRbcOM9rTyKli7ZYC5aA19xpKNk4uE8NevynFlNfX7v+yseb0f+SevSuNDMdXqYareoT\nVmPyQjLepDQbSgERiI9iG0uO0kUb+TlNWCw7yK65CbNsa6ITxsPAlVa/puErdsArVrLPdap0NgRd\n4WWhxtIj5JV6iMsGdsF4ImTmICxjShlKS63Vb8TNbYy5SUQ+BYZVn0k+UNJvHq1QldbvKv7Eq2YA\nL5USNglg4PmRwEVFUE1glEuON9WJqXGv1uI1lJIhshh5AtVqVuCpb9vz7cT1vDz8V4DPROS0BL2q\nnrDkNWrW8Gv1Uw6MpKKvfqXoq9kAbJ45FzR8EwiWNs8Ot9ZavPCaQDbvKgBK1kduHei8OqELlZFo\nlVzO6zWgosCjWwEV2b/cGDNXRArQwpR3PQ+WrBcvFSIVzmsdxQN9J+F+lcBxxpgt7sMYYyaLyMFo\n24yZT6o3vIcxZr2ITDppIytMPU0d8EIiHprJ2+G6zfB7LciS9CbIp6RfZSoMpSj8477PC6xGACLC\n5aOa0vecOrx8xzLeeXQlhfnSyRjzJ6lFvbj4aA8YSk4+2jZvKWgoORDi4aO4pQPsiydNm7Bu5e+I\nSEdjTCI5S8NRcdibfu1Mgy6O9pZVMoGd/GuMWS4i/zm2Pnx+JFsT+IzkEYv4/IjNujnW74IJ66Dh\nBlixkxOMMZ/4HdIY87WIfIPmCyx3iIy9DwxZthWauM8rmhJ1DBgDv/4J7T0SVvdIuXo6E7ijbRuQ\nqESEI0+pRbf+Nbln8L/HNmlTaROpzRk4DZhVPdMj5JyMFy2G2J0bBRGdWVzo2YiMnscDIIV3ws/z\n5vvvoBCRc1GRzV5Btg8K+3yb77eJVQUbT0V78cUFY8yfIvI8cPErrah7VhEh6QBLhK/QMpRyq1Wg\n4cr9eTdtoc1UHtdDYqFhXfVyzyoCSrgBDV1GGEo2LKX560RkLFDfMSG/Dwz7vi50i7fviY+nfmkJ\n/LNbk8ey2MOyGYnwURl6blvtm8O9E/fhk5dX88HTq/4ghXwkIrWAY3p5CXHFayDGMJS2N43uTF9L\nbbb6cZKTjyZNg7e+9OskEkK8fBTIWPJcaedW4KQ7OvLDxLV/ikgiIYlzgcN+7Q1dcglN9iUGqmmY\nqRXaFHvgaZGLSH+Uxc1qP+xRiG3TTnhyFvy4CT7ewCY0R3KYMebXIIe3xvML18svAnXyPmHfrwdT\n68g8//NYvwNqfQhf9oCj3IRjjbcIzOwc5Iz2MJIRmvTbNoHVTWam0K1/Lj98nLpUARGR4xvyxlF1\nQTyetwgk403aA65vEemLqgD3SLaCx8urBHDqIwczZ+bXT9xZeMETI+qNjmvSEJEGwCXjWsFZdVHd\nD+vZqqpHsotcT+5VD3Kax3HwPRH2dPGCWQrjq8G0jfDqGtajDPCEMebloIe0jKQ/Hf/PFZFru//F\nvSOa0PQOP562KhZrzYT/1IYXWpROnHfiEuunXCOVi5cUPI9HnFyTZ6/1TG5OBoN61aNqvVj3714o\nCZAIH8U0lvxW2r0ubcmUl5aBrojjzRWYBqxplkMdIDS4HyyDrErAVj6x+jz1ObWxx96pIKBELqhf\nWM4iqNv/hJGaqTgB/Z6vpSJcY63+bhWRZT3e4Nn/DoKePuNQE6j7BRz9NVy/DzzsFEFN582cTBgh\nnvOKN+k7wOrGRrQJ2ca6jDps2pGaql0RqQScN6cI3j/cZ8Nkvy+UiaEkIm8CPYA6IpKPRnxuRvvq\nfWHJhkw3xlyW7Gc5vWCNO1Sny9kd+PTm6YwYE/ehVgNzalcIFYhBS9iwC57R5Y1dTX/66YkY7tGQ\n6HMY6xlznMesWdBVM0tnoS3cxhljFif4yaVgjBkvIt/fuYyFu6rB3Z18Ns6D6zfDrX/CS4Xg2bom\nEaRLWz8dXBQHB8UDyYCdO1KTQmk1vW8JPP3U/lE2SuECNdHvHBSp4qOEFLxtgsqskEHvuw7mtdM+\nvZg4jSVjzD8ismT+Zuoc7NBvKNoJzXNgxlqzS0ROAH6oU5G+QHAiSsYQ8PsMW9PFDZcBNVIzGZ5L\nxWQQBW8Dzx6lKWlVzHDCLnTn+eXDqitgzO/qsUvbCtftUk+XIZbKEF0SD2w+ecz75hfaHB44NB4B\nK4m4JxqO7gPwbD/IjucaxTtpBzSUlhXEcQG3REoHGGMGeWwZ2IORDHrfeQh31xuNvCwVjTHbg+5n\njNktIu/P3EKHfjXDrxeXhMQZl4tIHeCwE90RgSDXLBWc5HzOgh4vH+4POxwOsUP6qYQxZpGIbL7n\nb6re8zctzACHerprbG5pCf0PhlE/Rb4XGGXFN34og/BctHylUttYH7T0m9/pdLif3khsiEgHVOvY\nbhD+ePsuDAu0cxq13daurQtBOWlt3YiXUsVHibU7w5yQPgAAIABJREFUcaB+h1oAcdmGIlIZVd9v\n3qQtKphvoW89uHY0iMhA4Oqx/Tg0JW6+VBgK0bxJjnPZHqaJ61PwiZ4wxqwTkVy0e/Q40ySKSztP\nA9gXpMtyTyb5PRWIdQ9EO68YhpIfSdnkVLxpF9XqBlGNjITV7uedDk3pNqgHXNgecrKhml9TrUS/\nK5SXipOUIJbHr1L1bKo1rML6xUVNUPmgmLAM1wHA0HZNKDXWDYFmC2H9BoYBrQe2o0aVfWIcMCg3\nxfvcxLu9xU2Li2HCBXDqS6k3lGwYY6qJyC3AN2sbQm13DqRjTDrlwVh3ryY/uD1He76aMxKJeBuT\n9LA49dDyN+WSVTex/t2WZ/tB4IwLDqfe8N5QszLUqsIwZwVACCniXUi/VymVCGwsRSOpdnmbAZqK\nxLWS21ohAxZfAo1ciYENq8Lth8OUlbx9SHM43VZPS2ay8EMyE8ki1+cuhNW5of9GUbqDQEphjNko\nIv8BZn02B47raL2RbiJJZHVbVoj13QM8rEEMJYCNW7LYmBlU0jYCrwHdZj8NWRWImf/miSDXOcq9\n7aVRtDfCa6XdiAJym1Zl/eKiNgQ0ltCWaBd/OwS62922HDpmj+4HDy7l4Va5cHVXj71TFZZLhVHr\n7IhnffasfDhtNJiXUnB8Hxhj7hORBiO+58onjyF1/FDeeCYI4ly8xMNDECkcu2PrbjIyE87tPg64\natFYaO5O80/FvBuDh/YWxDSWYl20SlUqgKphXkdkn8Zo2PDmeeQ27uD95rV5YT9gBJK4OLEQz8Wr\nuNT1OZbhVGde6JU5iZ1FcBhjtonIv+ur0iEwKfuNTZDWo+VxVeeFGPeA17UO4vYGWLKtHn9NXFj0\n18SFrd8c4n18EVlKmGr2Ncb84Xj7u+vO4+isNkQa3PEi4L2+txFTMugyaB8WfVNwq4h8HrDwZGu/\nltDdvR60rstRLeEoW1UpUcMoAU6Km4+8Psd6prOTjiEExt/rM0hIqfl/Fj7XPhEechtKBTRi+se/\nMOej/DMZ7/05InIZ8Iz17xhjzAWOt1d0aArN/bSUgiAJLsrPaVLu+5em5BG6aeHZ/Z886J3+IvJG\nrMRBETkL2Nk3iqFUCkmST7IThPumzdsa9kk6jx0ynBZBpbbw/m1w6kjORyXW040vp87mxMFHWf8l\nszr9HwrXuBHrXghKUAU0Iv+n5QDzjTGegTMRqYhOF8NR4dG/rNcFbQ945mFdApx0Go1+X3JaHIfP\naZOfCEv64CdvcMqFtZg5pl73ZT8Xng286nccEekIDLimn/VCEC9GEryUDCcF5SMobTyt/BY6nggi\n0swYsyTxMwiEL7+Ya/3lHKf/YW6JB/HyUMT7HoaSMYb5U/NBnRbR8AzaB+0owL5CtrbbjYe1i7Yb\naeehmFiVFZyTCrOCbZcAAhtLfuTUqcUWjhjWhfyZqxbho/MgIvsBj855njpVg5BGCogn0MUIiGjH\nymuqpGVfzpOaASNpKyK1jTExNR9EpLIxJrGAM7TpuD97fTy4LOF3T/glUdrvbVlTDNr5IRq6ARhj\nHnK9fiPwwJWXwwkXoJ0A94DRvzcjGg85J5GMTOHCZzvySP/Nr4jIR8YYT6FKK3fy3dGDaXKM12QR\nR+6FE8lOiEHhdxybk0DFl7sfCB9OozsQ01iyjP1dCSaDt+7UivDY/R8vRUWs+yCIRwmgeMN2yMgA\n8LxeIpJh/Xm1sxWQiNQHVgI8+zBaGxYFqbpmezMXxTSWgpATQI8bDuC+Zq8gIgcbY35yby8ixzao\nw+ejhkN798AnEdMMMvgxRfaSRY7+ChlNS+H8oVSqU4c1uIxHqyzz+F6XtvxwxdxNLP97E5kVhLzO\nNThkYBMm3DHHLmnYJ5Ymk4jUBS48oWf4tWhjtjffpOlE0Pvbud2SgmyA330OO839gojkAA8AXPRw\nYzDL40/oTOE1LKBRuXd7B0G0pr+tDqpF56Nr88MbW68CRrjfF5FmwDvnHkP788/0+YAEuCneSTDV\naERB6Bzyti5je1MYciEsWJ81Hi0KKQUR2e+E4fvMXv5XEQVzN5FVMYPKNbI45tKWTHt+0T7GmPki\n0t0Y812Aj7+x74HWXzFU8f+Pk8Lwuyf8uCifPDauW0vlulXZsWntOve+FmZbv90q1SsBPpsMpjVs\nR+eusjL2ofR3Ke98FL+CdxRyalpxFZtXbQVoJyKz0ca3to/+ZKD/m6Og58Hex010kg9CPPF0UU8K\nDqPpr7+gezf9X0QOBGzpx7OAag33qUrXUxrRqF01ajaqzIIZ63j0xB9Ab+g2aJskPy9dFvA58EHz\nHgx0Z9Z7jZtzrHbtMlSokO6G1XsXvO4Tr9VdZvZyAA/N81J4SURWGWPsTIDLACZvPJBKlVeRT+KE\nk3bjPwUQkZuBM9E2PX8A58VTyh8N8TzLohLcvUTkbmA/NMi2EfX8DQMeevlJDvbTPE6El9LJSfax\nG1EQbAeLk35aVMS2Ym2CICINgWNRftkPGJiZlcGRQ5vTuH016rWqytqlW3nl8tkAv1jNdF8VkSbG\nmOXRPkpERgCtzxkKWLUPQbTLCmj0f3zkQLR7I5qnKSM7k13FO/0OuQQNfGwUkQqWTEZXgDe/rUur\n7hXBCulub1pOHBApRir4KHaCdxwP9Um3tePDkXNfrV4r89WW+2SSU1WQ4u0cfRRc3gfqq/xk3AQU\n68IEOcd0XdxGFER+fg6sXLeSqT9kICLv5DasNKBT73qICLkNK/GfezqQWSGj1C77HF6bR+b34ZLa\nk/rbr4lIN2PM93jjEqDaPyWNB+ZHk8LF+wHbtHY7l9b5mOPPr8uNo1uEXv8/BPM0zftsKWjfwmio\niPY2vFBEtgOzqzWrefAVX/enSvW/k7oXy+Q6LYhj242RL1kdvi8E2htjtovI22hze9/8oVTjtHMr\n8+ObHFGtVoWSatUMHdvsZt06OPBAGNoLunbiEXvbsuakRO6BZK594ZYSVizbjIi8AJx6yMAmdbIr\nZ5KZJZxyR3tq5+WEzqsQoBWc9dk+3ChPVSV83R4FTvc6vqWAfseShVC9vnopQucdoHCiV9ZMQBcT\nVaqH8+D+f+aloF7vJZ/No3pXX7/MSajZvAnYJSJfV6mZ1eOWsc1p1L0mODyRfp/rdw5pRQHBOWlF\n5Eup4qOEwnDRVjUD7unI+cMqs73Y0KXJGsCVhOjYNtGVWbIkVFYX+aU/GvDdh+vpsrbagMMHNyWn\nhiaeFdCIVdF2qgVX/jSQPyYs4KsHfwH4zpJk2OGx9RnAoyuk8bN+5+H1favV1uyqT8asZtW6LIa9\nf1ip9/e2VUM6EM3LtOmfFRR88PNaYFy0fa3rNVZEjgEGt//+mYOP7LSWmtVXh46b5xCPieee3Euu\nTRGwE8gRkd0oUUf1SMSDaN/fzUl55JPXqwZTiruy8998WratgIhE5SNIzDDyu3bpnHTi3a/33U1o\n2nsNf/zGRa2PyaN++7DsxXaI6qe6Zem5/Pn+v3w07FuAgb1fOX3gF+e+7bU6GwRM29GiSS+3LFKs\n3BuAs5/czrirfqNfjVm8XHwy2ZVKFw7sJfd9WuDnaTK7S/jvRRPmoo2OPWGMKQE2i8hpwIQ+bw3u\n0bV7RZo1LgLyffM0/bAXXZOU8FHcnqU81+A6SSqPfKgdNgoauSxWN5Ilk3QaVcmggEZQEaoMhA7A\nBusnyHlxUB6dD+pK5wfO4MWad9J+aNftZ8y6mre7Pnl1zYNaPlG7WRUWvPcHFSpl8sDvvQ63jxzv\nON1ddDF3VH+Bnz8o4EyZ8Asw5yFzZansjf+fV3XgPW6zL38V4J1o7WtERIwxRkTqcebwwdkLPqfa\n4Z1YQz6tCBfPOcc23nuxvF8XSzR1FJrCXgx8boyZmopje313JyfZfJRPHnnkUyErg6btwhUyyYb1\ng4ZIguwTz+cmCnscEKh+ZGO6HRn8nADIg2ZXd+DKq09k6nnvMOflmXRvcKP5/riHDwK+Ovql06p8\neeEEqtStzKm37UOBS70rSGgboNOVjeCq3wAYWnniT0DeiPUXNaycG1kFVd7v/3Qg2v2x4KkpoJP/\nl17vWxW4AFVqf/T8hPWDriHzyMMoalgMzNhjxn5ZIlV8FLdnyTaCIExS0TxNyRJIqo6XrovuNhz9\nxiLoeUCY8Af9fg2/jvqGKWe+BfDE+pkLWT8TOpx/EKeM6ERJ46rkOz4vnvFZ8WeoKOZONAF2jtd2\nyXyP/yWExqVtG5j6p5/YYYnFT+tZMpcdj79FAZnkke85tsnmrsQDL69WQvj7K5j7lf69cCZojl0I\nItIKzQlqjgbq3hWRIcaYiOTieDGDQyLO3/3cuZ9B5/tlEdJPlouCnkdQuA3JRJ/fo144lW8e+415\n930EMBPgywsnkNu2LhdMPJY6+9Qk3xUHCcpJO7eEnOdvoV5zKlbL8tzWC/8/cZJzLLa16QQqYxJN\nT2wNmkFWXDTyWWq99zRrGramFTNK3ReJepeg7EPKEXDy0Yp5AKX6UKWKj2IaSzM4BChNQPZqJZZx\nAPENZJABdBNlvCu9dBsDzuNHmyADI68RrR/vQGtg5We/seTV76h5YHOq7lxPUeP21HAZa0E/a87Y\nmUwb+i6ZlSqwe9uuEa2uOpZjH+hxZj5hctoTpL43YN2XvwPk2h4k+3UrgVAT0b7/C5q1rMmSSlYx\n74LAK+x4kQihxfzcxTEOVrkn7N9T/15eCIt/nu/aoivwgy2bISLvA4fjUYkVLwpo5OnZDnlQoiBe\nT16q7utUpQWU5b3ihTzyWZXdlLbDm9J2+IkUr9zArxe/TJ0j2iJLlrCpcVvqZaxOiI82LlzLuFYP\nklEhg5JdJWfUOyiPEz48h+WZ1SO2/V/xdqQKm2fOBagpIlWsRusAiMhxaO/JrdXvuqpWtVsvrby8\nsAVrgEoeoTe3PEo8iHe84/6MQvw5yclHOZNgxltuuZ6U8FFMY8luqrnMMSBNGoUNpXzyfCs0Un1z\nx/tZqVjlJbp/vMd3Er8bu5Z/xbK3prPsrem/A/seOLwn+RnRS0qjYduqjXxz3WQAdm/bRU7zunS8\n5z8UVs6Juk8y5PO/tuLb9fe/ALehIm8rHW+pev1dD0PzViqitgBobT1DrmGINnkHrnIivrH1bI6b\nvkszF7jd0jHaBhwDRMiJJAL397B5yclJQSrGUuGldnrY/VDW3tpUP3NeRSw7yGHFR7+wbvoCtq8u\nosFhzcgeXLpFfZDzMMbw7UWaZ1uyqwTJzKDjU+ezsWFrr9qBUihLQ7O8Yt3sZQAHoMn3FzveOh04\np9IJR1H1qrNZXlhaA8OLf9I5V9rwbdJdzvkotnSAh3LmssWtofl2lpEXIikbToKKNcC+A+f+3Oaa\njlnQqDQR+iXKBr3AcXVZTxGaNIokWL9k+ozBA+GC0QD7AqzIiMy98LvZGxTNY8kr3/Lb1a/Nxwqb\ndJz1ElUO2KfUjB8LqXho9sR4pwy3PwD33ASEE5BEJPwcHX5R2FAC63dFaOTt3Yk2+acU0dRv00RO\nxpjfRGQcWjFYAvwCvJiSg0f5Lk5OcnOEG373cMS96fV5thGMfuZPHEKTRvkJLxY9P7ccwOYo93do\nRAHZDWpT7Yh92fStyo1lHH4wBYQ7vscyZJqYpSx7ZwY/nfH0JOBEgIbDB5P3wMVsAdwtyvyQKCeV\nxzEPCvva1Br/CAXVugC87drk/7V35lF2VHUe/9ykk+6snQSSkJDgAwISAoTFIZiRRRANDIg7ojM4\niuKocFxA0cwMBJdBVFCPE/U4ssgm4DhiiIoakE3CKiRAQiQJlYWEJJ0FOp10d9J954/frX71qmu5\n9V6997o793POO++9qlv33qq691u/+7tLHQ/QfvE8Nuw+qqQcr6d34w3iNalssrwJAPq8HqUbS+Ep\nex7S87dSLsT6aaVTFtdnWVoqajqgFxNmmkmvME2EqtDbUIMMN9q/kYWO3tsqpZC+fINNPkvObxhM\nbltK83OPMGr2Ub3askmGVufGrSyYfDFj33syyNpMh/G2t/PihI/ChkGRhpsNuYtNudc/fL3zuI9R\n93Bbi28o4a9urJTaH/gesIpHug5ltVkSwvPjka8oD22mvPbUA4swtszOIZ6Y5r9ZvTy8gnnlJA3L\nLJRqUiYtgtLz9lL2L8Lci0YoSJrrCzH1IS9dyZMyNSqoSc0P/5qmx/7GQceOYdvwJoIrIqbNor53\n8ucZNGIYwKPAuWrEcLj0M2zggMi82DbCK9Kkvnifwpj7tn7DVOjshPk9q19shJ4B3V8FpvLQEpj2\n5tLGGwCNvQymnuuWdA2y6kscXsz2OD3aQMKKgxFhI8hDj9KNpShxCgq3V0nyJN+AlaHf08y3BxQa\ni2I4jWShKySlkWMF8bW50koXrBABpkxeR+vsd9Iac1gwfFDU2p+X8ci7tnfCuImXcPG34NyLZG4A\nplUeSNc/Pin+WPIWnLCREGU0lJtmkgESjrOjHU6PnEn1eeAU5j58cImh5JdXzw8Wk8ek8u9ZbssS\nZ5ALLcP1JWz0wss5/rg0e+lgY6nWlJOPQmoIe5Jsxax1Jk6TZhO5FEpYi6Bo5Ojubva8tg01eiTM\nmHkt46ehb79dnvYRD7uoRnFUOrHkoUm2dSrNPi/H4IjSukIHHFwypsuP+a3APC6bP5SGY4paBAFH\nB/QYTOF44/LolZHvuLj6Kdk9S7b7wkQVorTjvYj/BYoPIp+gQRcVZ1IBtml82sbpme9CSnxpacZ1\nNWTooikRkRkXwNIz6XhqMTTOgIOP7H1O0yipiFUVoXIqUPiYPCthWlzTgIaSFzReEfj9feA/uP/H\n0HhyaXy2efQy5CnNwxTlCfYpWOanL2PTKMqjbITjDrMRmBQIG2fUB+MrRMQTvo/lehAr0aOkOHri\nKl+TIrXkpc3o5c9DeztMmQPeoN5hMqTRQ1ZNyvthXg3jIE6rC0eCtwwArbW/hPdi4BGu+9wZHPNZ\n2eIFjg3+jnMUeKH/WRoQcYTj7IdYjFnKKaVy44lYkTM1vvAxiykKW5ACvQ2vKGwLS5xQ5vbSmzKM\nk0IHKAWtU+CID0reUs8nJ+9QucLh5ZN8xRTM90qAwXDpdfCjy8C8F04pNRl5D9zjnDjvpGLYwHG+\n1zPqIWhbrjzLbWHC9SD4P6o+9AcWJ+yL04oo4s4/SxwbQ78nUbwvUfFEbfNC/wvmO06X0ozoIFF6\nFBVnISKcNeV5qBg1GiacXtyemHaO3ur+/JAvmG+/bNyyFE5pADPn1rx39FZgBhfcEzKMQnHZlK+8\nPEwl5T4cQaGMCOtDurHUq4J7ZSZVKPO4EFZi5qUcVyhu8wWuYB+VVbLB+MIF08ZAi4u/kBImSNBb\n5KcbjCuKAtEP9iDV7rtOI03888Iz3wXzvWmvv+d/kPeMLQH25/0bYMek4sqjwTzaeMS8iG1ZHtqx\nREUcjL8QvS+HMUvVw8snmig9qDTucu5ZOB9hj5XZ3IOHPeGwBaLrTrl6lJWwHvlph/HMdyEUxjaP\n/bmRltTQ9sx3wYR7o2eG/GAzVuljwAWcfCcccV58nGmeby/wu2Id8iK2LQ/9nm5+F6Kj2IAsJWlD\n3KuEc8DiRbp/qF7qNWN5xH9zg/yHhl8ogi3O1ILihf4XSo8NxuWRbEBFEeeNsBGNAuW1DPz9ccfb\nkJZGVvLqCs5Kzxg08z3nS3D3FQBTlFK3AfK2w+EhN0VSV1iQxBZXHoTLfZhCFdKsNmnnZOPCC1eg\ntDjjmJ4epJz4w4ZsuQ3EHgrFeOI0KckgSfNaVaJHwbzEbSsk5MOWqPgrpRbjcSK74MzvwoTgnteB\nUQAceE75XuuNcTuCBMuzTR2IKv9RmSlYxFU/LIylvjxCK+5G2YhTTJiKLGkvFFfBLng4mBfz3w+X\ntaUVR5IIhvNQSZzVoBat4fB1XtcAQ4bDnl0gL8oVblVX8O5l19I8Pd1QijWQyn1g29CX63BW0s7F\nb1qGw/nbx8XEETd4KClcpfcsz/timZckjyLY13s/XIH89MgnHJ8XEy5rfAOB8KSCc38G914MvqEE\ncOfIGznzgU8w8VRQg0qP8/ECvyMNpLjyVO7FrFeLNz8sjCWozLflv7AxyyCfuHBhsohVkvhV40E1\nHWvjydZAC3u/POJ1L2hM2D4H0vZlCVMpNnmudj6iiueH2+DZufDCNcGQ17LgSDhxFwweVtzqBUJY\nG0m2J1XpGgJV9FcbzBiKp4H1Wutz84nVNt9x4YLbxwV+2153m3Dl9l9Xq0CHPQFe8W+a8dSLwLFh\nj7xX3NyLJD3y99tss6UalzKLjlaDKGfpmE/BnGPgvpOCIT/Bn0+HI/8CzaeVxuGF4uxlKAXLSrUe\nBtXXnigq1SMLY6nSE9tGqSgFyVOgIH30rE8wT0kDYLIUhCTXvu8B8zLEl0BQ4KIMLdvBu+WUc88i\nTJrxV+ng4mAeChXGlURc781x/yWf7j2wYjvoLhgyEdaEZvQkjvfLKkpBz4jtMeFjLfEyhI1bx0L4\nPPLOwVGJoepGpdpWqa5FpV/O/U0jyRsW0ahLZXnoe3qgrBfiNckjfVJNNTTJpjGahyYVKowjjTh/\nw/hZ8C8aXu6Grtehaxc0jJOGmxcKb9VoS3t2xhFVH3IwjDZhPzayPXFvRXpk6VmqlLgLNi5lf1TY\nJLLc5KgWZp5NGVt3fVKfb9JxwYFxIYLjsGxEwLMI0xNv1sgijMbIeAq908oz77YUEvb1Kh5DYMiE\nmBlQXiisrQcprS6E94+zOKb2KKWmAGcD3wK+VOfsVIm06x7WLJv7FDaKs6YfdVy52pRGcKSwH2eM\nLmX1YHmW4RI1KRxJ3LlOT4inUJpWkiaFk6uEQmoIIXhr1SBoGAvrxxa3VaRJWXWl7+mQTx56VCNj\nKY4sF7eaN6IaLcwkw6scsYrzU6cMFNhYsDM8Kh5ECumtk6TBDREim7mLIIKsLUYvY/hIMbIxjPIq\nz31WoL4PfBno/TbUfYZK7k25x0YZ02Gq0X9kGadtQ8567KgXsz1L93aGAZCVapKtHnnlJ5HctQbl\nN9T6NRXrUZ2NpYFCmucsTJ5ilRaXMUKCbvJIPIu0bGci+cS1fOP8yXmPHSvkNAU/Ds98JxmJA1CA\nOh6Ezgfld+dTYN416KOUOgfYrLV+Vil1Wm0z5yglq/crj/gt63ei4eFZpJ2kF1kbKLUYgFSokR5B\n8dpUs6HWRwjq0d4VAPsFd+elR85Yqir1KpRhgyTsJq+Ecvuzo8IkDbC1zW9SN6ZnkZ9yiDOOwuff\nBgwBhlYpH1UiVdBPMx+AzcDTL4cCzAberZQ6G2gCRiulbtFa98cXrAxwqqFRUd6tauiR7cxIG2wb\ndraNuihd8jLkJys2mrQH6ARGVDEfVWB7WoDTKOrRvcCdW0MBctEjZywNSKIq/pPmuxotyTzjshk/\nluf07SzYtNI2IctMP2f+jwQur2am+hxa67nAXACl1KnA5c5Q2peJ06O+pEU28cd5xX36ii4F870L\n0aMlwBtm29fIdVX0Pk5eetRPjCUNXD0ReDPQDLwIrIF5XZXF+3dgItKNuRtZgnksEJj+zVbgDmDr\nL5FSN9PkYSrwG7jk2/7ahLAFmP8xpIT+Bq7aW3xd8iuIUdtsdo80/9cBN7wDmVc0AXg/cDnMa6ns\n3OLo6y5Ym0GrtZyza3O9NLAKuA0RocPN9vdTm6WR+zy63hnIn3mjkBs9FancL8G8juRj0ngN2AtM\nQTwAOxCJDpZ/DdwErP0j8DAiKBOAE4D74eNfkCwNQnTmOx8CxgB3w1U7inq03aR3GFLGhyOatNXs\nu+0fEVH8KnAtzHumsnOLoq9rUZi0mWD1WC8oLk+bgduRaWRHI4bSiYiTZd8xlGIoS4/6sLHUDqwG\nHsW8inoT8Dhy108HGuBviA40xHwagcEx8XcgRhBIN8kgRHdaEeNnOyIsncCxwNY/IyXtJRP4z8BM\nuBkxrhox77t4J3AocBd8B3lYdiEzFjFhhyFdNIf62+8A1iJTGgfJCX8PES//MwLxVswA3pVwXgOR\nviyqa4EbkbLyj8DJwM+A9yAi1R/xMoRNXjtAa/0Q8FAluekbdCE20TrM6bQCz5sNBwPT4TfIPR9C\nby0ajOhMUpfsrxBjpQkxmpoRe2V/k9xeE64Z4CfAKSZjzyDi0Ay/B3YCBwDrAf4Z6X+ZD99ANKcJ\n6WttMb+HmXTGm9MB4HpEj5qARXAtRR3yNWkzopP/hnsA9xWN2oU8d0Ds57cAzwJHAWdRNJb7E5uw\n16RNiXsr0aM6GEutiHC8iHh1piI3cDfwBFKJV6wCDkTE6B8Qk/0yrfUCAKXUMOByWHAEMr+gCamt\nTaWfcePgTKSlNgoxKFuB63+LmNmTgLOhc7HWeoeJ+zBYOwWx1BTQofVifxTHTeGzUUpdCjtnIU2L\nP2mt95j39AyB3ZPg+TMQy6gFWAG7lda71imlxsCyD5pofqm13hmIcyjsnAA7JyKqdwBwCDBX3NdP\nIoV/MNCNCNd0xEM2QpJ2VJF25EE0CXlAAnwSKbIgZfq3SLnbv9fRfYM3UEoV6p2L+rMLqS9+G+hw\n878bsT88YOlziFd7DXCEOfBKrfU3/FiUUhfCktmwxLdGwp9GGDoe3oEMap6A6FEX8ADwmD+Q52vQ\nfjOwWeuWbtGJtbNMRtokntbVWmuNFLIwX1dKHQqr3oLo0XaTv6HQ3QQvn2VOsAVYBu2jtd79glKq\nAdadgxTe+7TWPePQlFKDYPd+sPsA2BLUpO9KiGuQRuubzHVrMJdrPKJHjfTPh3R/oQvRoyaKL6g8\nEPDXXWwBfo0U3aNqnjs7OlFKHVvvXCShpM7F7FRKi6Ok0XwGIa0JZX4rxJJbhTwY/r4Q8e2uhfd8\nXVpAnUjr474fIp6Zo5G7ugcxgprM95HAfebzArBSa+03pco7OaUuAt4LvNVkdDoiONcBP0dW8ux3\nXQRKqQ8hFlKX+RyONBsOQFR4BZx1NByEGFSV8hfaAAAKRUlEQVSDTfB9vfVXCa8Av0DEvy288zKt\n9fX+H6XUl4HvwBWUdunWgz2IK74JMQzazOd/QerZUVprBWCM/G45V1v+E7jtc1rrH+eZ6yhEj06l\nWJYbka7vLoqatBPx1o4F1ixETn4NnDNXHuiDED269xrkyfF2ii6fRcDxSP+8Qlw5NyDXaXmwQVNm\n/mcBXwTehrgijkZaiYuQ7q6XtdZ7KkmjHiilTkKu5V7kZoxBdPdNiB7tAm6GT35FLvNg5N6NrEt+\nBwa7EW9fCZ3IBb4d+LTWug3wjZBn4ePILakn3UjRb0J6d9qQ4vEAYluAr0cASqk/wE1zigO401gE\nfGphfm8MKGLhWfrTD+C4L8iJ7UG8QYpiq+ggxNV300eQs54kG++5Aw76iNy7lfOR/orfAw8iHeWv\nIkJ2DCJQK7XWj+R5clrrG4AblFKTkRbTq8gUws4806k1Wuu7IzZfCX4rkFPhD5+GiecX7ak2xKAd\njPRiVrpkbX9hL1I5fR3vQmzKpozxTDTfbYjN/1gD8kBo0Vo/GAr8Pvgw9TGUuhHP1xbgr4hDYhjF\nWTDDzTdfQTylW+qQyQp46HtwwuWiRx3Ic3kYct7dyPl9ALjxAuSJYlweC2+AQy6SMN6NiFbdgXRT\n7Qfs0VqvV0pNRQRtNHCr1ro7r5xrrZ8APqyUagJOQoyyXb5Xu7+itX4cGSIR5Ef+D6XU4cCn4OfP\nwfhjpQ7uQhrTYxAv1PG1ym6d6Ua8Px0U9Wg0YtxnIaxf/w586wRkLMDPQk6Ad0uRrpeh1I5UxUeQ\nIj8I0aNhFPVo83XImJbn65PHdFI9S0Erz9F/UUodDMwDLhRH27vqmyErupExHK1IN2oz2abhPwfc\nY34fgBiKr5r/0xHj3/9sQMbuj6e0y8AfmjKa0Jz6iVrrzVGpKqWuhtlXile2FuxAhtB1IufXhbTc\nTwEW7qe1jh1QEazjRc/S7zOkPR/4Xc08S06PBgZKqRGIofpT2XIV/aOrrhXxgAxH9GgY9vneDvzQ\n/N4PqaObkPo6lWKHy16kW20C4ksIxq8Ru3Qk0onj80G0vjsyI+L5G78YPmeZz0rZC9yPNFJbkGHG\nQxBH6hOHaa1jR8KH67h4lq6eI6NxbHgCuLpeniVHf0VeHHjSXqlcTYgFfwbS49kX2EJxjEMb0oWy\nExGkDciD359B2Eqx0o2k6N3UyHn5QymGI0NLdlHaWjsTrW9RSqmDgPNg+QakubPLfN4HS0ZQfLuQ\nX2GnA2dD22zEIzod8Qk34/uNAxjPxNnSeqomrUh32WqMg+JKpLvoGa312ion7nCUhVIXaLgTqcND\nkSp1Vn0z1UMb8oAfiUjCToq6tAkxYDoRI2Y30jHSjTSkBlPUoyGIHk1ExiyuR+rrMMSTtgMYg9Yr\nlfEyfhzWbTWJ+pp0PGw+Chb5Xb++Hg0GvgA7LzIZmA68A371k6gzUko1Svx+/qplkHYiursaWIGc\n+4oPIGN0lmrdmZuHtl44Y2mAopQaAnQWveOXUtvFyDqQeu93jywH7n8MGVDiT3c+Amlu+U2sTUhz\naSMy1fEJrXf3GCTi+dg7Xgaaok3EGlomw5qZyLTFKUjH9TfNYduAHVrfciiAMSR6uggCPBmxLcxi\nizCfAU4QQ2YhYsBNMqdb6cD7bkSI7lpmIv0Lcq5/0lqvqjByh6OqKKXmF/99BJhcw9S7EdvCl40W\nzDiZnyAWTDMwCxkuMh5pyb1GUZdeRMR0pdZeT3eMUmo0bJ2CPEt9sRsNG49BXNUzkNmKZyGGzSbZ\nv2oWgNa6HZnZGCZJa74Y+v/NyFDC24B/FT3+P4p65DcsK2ULMH8R0l3xDKJHi2Db4/1xPHASzlga\nuLwVaIeZTdKN/Rhyu4cEPk1Iq2g00poqxxvShdg7DyGtlqGI7fNXs38wokVbQQb7/AJRrR3AX7MM\nmjWVbzO9PTrLkErag1LqeqC91hVWaz1XKfVteOfrYvOtA55Czn8cRaHyvxuR1ms7orP+5KkhiK6u\npDgGaQ3G4L0GmUFZ4Tpj1UMpNQf4AVIAfq617jUa1bHvYMZSXihtmXMQb+hLFJdZGILUhVEUNamc\nx5NG6svDiDenETNuluLwvJKXT7+CVNQdwGe11msypab1GxTXhQlSMoZLKfUVoEFrXeFaXNnQWt+v\nlBoF53fIaW5EGlyvIZ6usB6NRrxEryPPgwaKk83bkEav7+X3kG5DngXeW+kEiGqShx45Y2ng8jfg\nu7DkElgyFlGmu5DmhP8Zh8wxnWp+b0T6vrYjVtDewHfwdzcyYnAqYgltB24BliJqNxIpWy9C12+1\nbql5C0NrvbvWaQbSfoOQv1vc7ZtnwObjYclxwHFIJ343xQV0WpDrNxZRqteQtQm2IGr/oNa7gwMV\nqkSWxfVe77VFun/5b2Se/KvAU0qpBVrrWi5r7OhbaOAzsH4u/PTNSPm+iuIo3+HIk9qfjDMZMWDW\nI62GsAYFf3fRs9YV4xGX9qPIAP5R5jPCxHWX1ltr/lA3DZu6NG7MhKawHg2CzkPh9ePhJV+PjkMs\nowbk2vu65K/U3AYsQATiNcQifan6DdKN2GvShl5b8tIjZywNUIyVf6VS6iqbwizrsHAg0vRrRizw\nhoTvu5GRzy192cPRVzDu9mfMB+ipxM3A9vA9MmuJdeQ5G6uGnIjMbvUAlFJ3AudR23dAOPoQpnzf\nppS6PfA/FuOJmojo0XhKV/eM+r4f6brabOqaIwGjKy+bz13QM8FjHLAjrOlmWIfqpzPJc9EjZywN\ncGytflMJXiHbIjuOCjCCFDlTrZ6esWwDQSOL14EEloJGWvSzKsyUYwCQQY+6KfYbOWqAuTfhl9D6\n++q4/lfFjqtc9MgZSw6HI8BBwC+B84l/pY7fIN2KeWFwOOCAGtjpcDjqxpOwcE6xwyMKX4/agaeh\n95jWXPSo2vObHQ5HP0FalmtHi9b8FBkqsi3isx8yLO1FYM+pWuvw7MJXkXEnPlMxLypzOByODMyT\nF1RchxhEcXo0DRlnPgvk3VNBctEjZyw5HI4etNatsLpRZifdioyVDfME8Edg10yt9cMRAZ4GDlNK\nFcxYuPORgaEOh8NhjdZaa/2AkheU30TUAG6xhW4GTkPrRSqiqzcXPXLGksPhKEHGr70wWKYT34RM\nEwbxZj+AGEuth2itl8Ycvxe4BLGolgF3uZlwDoejXLReoOCfgNuQhS99ViKvwjsXre+JHGiZlx65\n1504HPswSXVcZsec0S0T+D6KLB2zAdgY+6qXauL0yOEY2KTVcaXUqTD8QTGcuoH7gLaTtdaPVj1v\nzlhyOPZdbOq4Uudp+B3yIs7Vo6WrrvY4PXI4BjZ2eqRmwqjnZMbuG0drrV+oSd7SjKVaZMLhcNQP\nGwNEKTUbee9cTVcgDuXB6ZHDMcCx1KNDgK6sK65XQqKx5HA4HA6Hw7Gv4wZ4OxwOh8PhcCTgjCWH\nw+FwOByOBJyx5HA4HA6Hw5GAM5YcDofD4XA4EnDGksPhcDgcDkcC/w/oN/2ppoyXWwAAAABJRU5E\nrkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11ee42f10>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "f, axes = plt.subplots(nrows=2,ncols=2, figsize=(10,5))\n",
+    "f.subplots_adjust(hspace=0.1, wspace=0.1)\n",
+    "axes = axes.flatten('F')\n",
+    "for i, seas in enumerate(seas_clim['season'].values): \n",
+    "    ax = axes[i]\n",
+    "    plot_field(seas_clim['sst'][i,0,:,:].values, lats, lons, 0, 30, 1, ax=ax, title=seas)\n",
+    "f.savefig('./images/seas_clim_sst.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### calculates seasonal averages weigthed by the number of days in each month"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "adapted from [http://xray.readthedocs.org/en/stable/examples/monthly-means.html#monthly-means-example](http://xray.readthedocs.org/en/stable/examples/monthly-means.html#monthly-means-example)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "def get_dpm(time):\n",
+    "    \"\"\"\n",
+    "    return a array of days per month corresponding to the months provided in `months`\n",
+    "    \"\"\"\n",
+    "    import calendar as cal\n",
+    "    month_length = np.zeros(len(time), dtype=np.float)\n",
+    "\n",
+    "    for i, (month, year) in enumerate(zip(time.month, time.year)):\n",
+    "        month_length[i] = cal.monthrange(year, month)[1]\n",
+    "    return month_length"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "def season_mean(ds, calendar='standard'):\n",
+    "    # Make a DataArray of season/year groups\n",
+    "    year_season = xray.DataArray(ds.time.to_index().to_period(freq='Q-NOV').to_timestamp(how='E'),\n",
+    "                                 coords=[ds.time], name='year_season')\n",
+    "\n",
+    "    # Make a DataArray with the number of days in each month, size = len(time)\n",
+    "    month_length = xray.DataArray(get_dpm(ds.time.to_index()),\n",
+    "                                  coords=[ds.time], name='month_length')\n",
+    "    # Calculate the weights by grouping by 'time.season'\n",
+    "    weights = month_length.groupby('time.season') / month_length.groupby('time.season').sum()\n",
+    "\n",
+    "    # Test that the sum of the weights for each season is 1.0\n",
+    "    np.testing.assert_allclose(weights.groupby('time.season').sum().values, np.ones(4))\n",
+    "\n",
+    "    # Calculate the weighted average\n",
+    "    return (ds * weights).groupby('time.season').sum(dim='time')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sst_seas = season_mean(sst)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xray.Dataset>\n",
+       "Dimensions:  (lat: 89, lon: 180, season: 4, zlev: 1)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float32 -88.0 -86.0 -84.0 -82.0 -80.0 -78.0 -76.0 -74.0 -72.0 -70.0 ...\n",
+       "  * zlev     (zlev) float32 0.0\n",
+       "  * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 ...\n",
+       "  * season   (season) object 'DJF' 'JJA' 'MAM' 'SON'\n",
+       "Data variables:\n",
+       "    sst      (season, zlev, lat, lon) float64 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ..."
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sst_seas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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GpNETMPVhQ+A1VS0Wi3GlqrpYRFphGpMPMWP9pPRcRI7H1kCHVtiYXUcgQjcm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\nt1R7rLDmEnp5EfQEz0lKLDG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erWneuzVjT3uB6Y9OZL9Hj6L7MX359qr48AQlS4sB2opF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vgGW1hKAYhIPeAPYCXvfeEr8FRqHr3eoR8fVV4F/+NB8FNylMSoo5YRLix9mcBV7P2ejlnWk8ry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\nrkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x120883390>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "f, axes = plt.subplots(nrows=2,ncols=2, figsize=(10,5))\n",
+    "f.subplots_adjust(hspace=0.1, wspace=0.1)\n",
+    "axes = axes.flatten('F')\n",
+    "for i, seas in enumerate(seas_clim['season'].values): \n",
+    "    ax = axes[i]\n",
+    "    plot_field(seas_clim['sst'][i,0,:,:].values, lats, lons, 0, 30, 1, ax=ax, title=seas)\n",
+    "f.savefig('./images/seas_clim_sst.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### difference between non-weigthed and weighted seasonal climatologies"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "diff_seas = seas_clim - sst_seas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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4UbNbl8qCJSM6AJvQBczF7n0cx64oKmvpsuM34Eb41hhzttu8q10eVRZVVrqW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c973nbkSowUbdAFkoHZSqnpRmmGG4B56BTt15VSm0WEb+5eQfaWAsRqoUufCM5/afIRJxh2Xi9+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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x10cafc6d0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "f, axes = plt.subplots(nrows=2,ncols=2, figsize=(10,5))\n",
+    "f.subplots_adjust(hspace=0.1, wspace=0.1)\n",
+    "axes = axes.flatten('F')\n",
+    "for i, seas in enumerate(seas_clim['season'].values): \n",
+    "    ax = axes[i]\n",
+    "    plot_field(diff_seas['sst'][i,0,:,:].values, lats, lons, -0.1, 0.1, 0.01, ax=ax, title=seas)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### using the resampling method (new in version 0.4.1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "res_quarter = dset.resample('Q-FEB', dim='time', how='mean')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 108,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "res_quarter_clim = res_quarter.groupby('time.month').mean('time')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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Nzgnhfpc5ZgzwpSchaV1vMHAzOvk8iz6TvdHnYgpDNl/Flza/pfhWcGg1lDSZ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hIjXJtaJ8BjxplVkqItFoDai9m4aMr9Lgrsps6dCJwNC8tMAbAuXc1va7O8vjFZqz/DoeeW1p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\nEEEYQJA0BRFEEEEEEUQQQRjA/wNVqjNA+FVxdgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x10b515910>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "f, axes = plt.subplots(nrows=2,ncols=2, figsize=(10,5))\n",
+    "f.subplots_adjust(hspace=0.1, wspace=0.1)\n",
+    "axes = axes.flatten('F')\n",
+    "for i, seas in enumerate(seas_clim['season'].values): \n",
+    "    ax = axes[i]\n",
+    "    plot_field(seas_clim['sst'][i,0,:,:].values - res_quarter_clim['sst'][i,0,:,:].values, \\\n",
+    "               lats, lons, -10, 10, 1, ax=ax, title=seas)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "something not right here, probably because a *Quarter* is not what I think it is ... "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### calculates anomalies with respect to a specific climatological *normal*"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### 1. defines the function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def demean(x): \n",
+    "    return x - x.sel(time=slice('1981-1-15','2010-12-15')).mean('time')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### 2. apply the function to the groupby object"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sst_anoms = dset.groupby('time.month').apply(demean)\n",
+    "\n",
+    "# or (will return a xray.DataArray)\n",
+    "\n",
+    "# sst_anoms = dset['sst'].groupby('time.month').apply(demean) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sst_anoms"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### should be very similar to the original anomalies"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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FzZs3SUhIAAzCYtv2HURHR6PRaMjJyWXH9u2Ym5uz4IsvsLG1pYqdHUOGDOW9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yc13mX021TvpHZySsVt46ZVvdap+Hefm/QKGrKIri1aL/rwIVVdocB2YVmWfzgAcA9zxlCtya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\nrLPO4sQTT+S0007j+uuvJyUlhQ0bNrBu3ToWLFjAF198wf33389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0GqZAEi2839tYfx6L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\nwGwAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x10bde3ed0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_field(sst_anoms.sel(time=('1998-1-15'), zlev=0)['sst'], lats, lons, -4, 4, 0.1, \\\n",
+    "           cmap=plt.get_cmap('RdBu_r'), grid=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### dumps a xray.Dataset object into a netcdf (Version 4) file (note: does not work for a xray.DataArray object)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sst_anoms.to_netcdf('../data/ersst_anoms.nc')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!ncdump -h ../data/ersst_anoms.nc"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Creates a xray dataset object from numpy arrays"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lon = np.linspace(0, 357.5, 144, endpoint=True)\n",
+    "lat = np.linspace(-90,90, 73, endpoint=True)\n",
+    "\n",
+    "lons, lats = np.meshgrid(lon,lat)\n",
+    "\n",
+    "lev = np.array([1000,925,850])\n",
+    "time = pd.date_range(start='2015-1-1',end='2015-1-3')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arr = np.random.randn(3,3,73,144)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The dictionnary **keys** are the **variables** contained in the Dataset.<br><br>\n",
+    "The Dictionnary **values** are **tuples**, with first the (or the list of) dimension(s) over which the array varies, then the array itself"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "d = {}\n",
+    "d['time'] = ('time',time)\n",
+    "d['latitudes'] = ('latitudes',lat)\n",
+    "d['longitudes'] = ('longitudes', lon)\n",
+    "d['level'] = ('level', lev)\n",
+    "d['dummy'] = (['time','level','latitudes','longitudes'], arr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dset = xray.Dataset(d)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xray.Dataset>\n",
+       "Dimensions:     (latitudes: 73, level: 3, longitudes: 144, time: 3)\n",
+       "Coordinates:\n",
+       "  * latitudes   (latitudes) float64 -90.0 -87.5 -85.0 -82.5 -80.0 -77.5 -75.0 -72.5 -70.0 ...\n",
+       "  * level       (level) int64 1000 925 850\n",
+       "  * longitudes  (longitudes) float64 0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0 22.5 25.0 ...\n",
+       "  * time        (time) datetime64[ns] 2015-01-01 2015-01-02 2015-01-03\n",
+       "Data variables:\n",
+       "    dummy       (time, level, latitudes, longitudes) float64 0.9362 -0.2443 -0.9711 ..."
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xray.Dataset>\n",
+       "Dimensions:     (latitudes: 73, longitudes: 144)\n",
+       "Coordinates:\n",
+       "  * latitudes   (latitudes) float64 -90.0 -87.5 -85.0 -82.5 -80.0 -77.5 -75.0 -72.5 -70.0 ...\n",
+       "    level       int64 1000\n",
+       "  * longitudes  (longitudes) float64 0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0 22.5 25.0 ...\n",
+       "    time        datetime64[ns] 2015-01-02\n",
+       "Data variables:\n",
+       "    dummy       (latitudes, longitudes) float64 -0.8486 0.3278 1.318 -0.3273 0.3071 ..."
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dset.sel(time='2015-1-2', level=1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lons, lats = np.meshgrid(dset['longitudes'], dset['latitudes'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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igDopKREslJkOtelgb2Fa/HUbQ71ruL7AqMRCiEUq7gUblakr8R/ymRRBiPWo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ahHqxm7eAoZrkw0YtiIECN1L7V68wM0GeMg54E0AXXWKMy/OHRf3b6WgE42Sms4L4KXvZ+1s+Wj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67B+/iBMiBU2myLoWglkzairip3tatjJCuLFE/7+JC5WxzaSy3MXtTH+rFw7DnjuG2BYa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\nOgCAuAEdND3NVdNZXgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x10c4e5a10>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_field(dset.sel(time='2015-1-2', level=1000)['dummy'], \\\n",
+    "           lats, lons, -4, 4, 0.1, grid=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dset.to_netcdf('../outputs/dset_from_dict.nc')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "netcdf dset_from_dict {\r\n",
+      "dimensions:\r\n",
+      "\ttime = 3 ;\r\n",
+      "\tlevel = 3 ;\r\n",
+      "\tlatitudes = 73 ;\r\n",
+      "\tlongitudes = 144 ;\r\n",
+      "variables:\r\n",
+      "\tdouble dummy(time, level, latitudes, longitudes) ;\r\n",
+      "\tdouble latitudes(latitudes) ;\r\n",
+      "\tdouble time(time) ;\r\n",
+      "\t\ttime:units = \"days since 2015-01-01 00:00:00\" ;\r\n",
+      "\t\ttime:calendar = \"proleptic_gregorian\" ;\r\n",
+      "\tdouble longitudes(longitudes) ;\r\n",
+      "\tint64 level(level) ;\r\n",
+      "}\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "!ncdump -h ../outputs/dset_from_dict.nc"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Creates a xray dataset object from a Pandas DataFrame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import string\n",
+    "df = pd.DataFrame(np.random.randn(365,5), \\\n",
+    "                  index=pd.date_range(start='2014-1-1', periods=365), \\\n",
+    "                  columns=list(string.ascii_letters[:5]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### from DataFrame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_ds = xray.Dataset.from_dataframe(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "group = df_ds.groupby('index.month').mean('index')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "group"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### converts TO a Pandas.DataFrame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "group_df = group.to_dataframe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "group_df.reindex_axis(list(string.ascii_letters[:5]), axis=1).head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.groupby(df.index.month).mean().head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Opening a file throught the network with openDAP"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "url = 'http://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/interp_OLR/olr.day.mean.nc'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "olr_dset = xray.open_dataset(url)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xray.Dataset>\n",
+       "Dimensions:  (lat: 73, lon: 144, nmiss: 7, time: 14459)\n",
+       "Coordinates:\n",
+       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0 22.5 25.0 27.5 30.0 ...\n",
+       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 77.5 75.0 72.5 70.0 67.5 65.0 62.5 ...\n",
+       "  * time     (time) datetime64[ns] 1974-06-01 1974-06-02 1974-06-03 1974-06-04 ...\n",
+       "  * nmiss    (nmiss) int64 0 1 2 3 4 5 6\n",
+       "Data variables:\n",
+       "    info     (time, nmiss) float64 ...\n",
+       "    olr      (time, lat, lon) float64 ...\n",
+       "Attributes:\n",
+       "    title: Daily Mean Interpolated OLR\n",
+       "    history: Tue May 10 11:37:33 2005: ncatted -a missing_value,info,o,s,32766 /Datasets/interp_OLR/olr.day.mean.nc\n",
+       "/home/hoop/crdc/oldCRDC2COARDSv3/oldCRDC2COARDS Sat Dec  9 01:36:34 1995 from olr.7494.nc\n",
+       "created 08/24/94 by C. Smith (netCDF2.3)\n",
+       "    description: Data is interpolated in time and space from NOAA twice-daily OLR values and averaged to once daily\n",
+       "    platform: Observation\n",
+       "    Conventions: COARDS\n",
+       "    reference: Liebmann and Smith (Bulletin of the American Meteorological Society 1996)\n",
+       "    references: http://www.esrl.noaa.gov/psd/data/gridded/data.interp_OLR.html\n",
+       "    NCO: 4.0.0\n",
+       "    DODS_EXTRA.Unlimited_Dimension: time"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "olr_dset"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### the dataset is not loaded in memory until one _selects_ something"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "olr_sub = olr_dset.sel(time='1998-1-1',lat=slice(30,-30), lon=slice(170, 300))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xray.Dataset>\n",
+       "Dimensions:  (lat: 25, lon: 53, nmiss: 7)\n",
+       "Coordinates:\n",
+       "  * lon      (lon) float32 170.0 172.5 175.0 177.5 180.0 182.5 185.0 187.5 190.0 192.5 ...\n",
+       "  * lat      (lat) float32 30.0 27.5 25.0 22.5 20.0 17.5 15.0 12.5 10.0 7.5 5.0 2.5 0.0 ...\n",
+       "    time     datetime64[ns] 1998-01-01\n",
+       "  * nmiss    (nmiss) int64 0 1 2 3 4 5 6\n",
+       "Data variables:\n",
+       "    info     (nmiss) float64 1.0 93.0 92.0 363.0 293.0 24.0 31.0\n",
+       "    olr      (lat, lon) float64 252.0 234.0 229.5 220.1 200.5 210.0 237.5 243.4 256.5 ...\n",
+       "Attributes:\n",
+       "    title: Daily Mean Interpolated OLR\n",
+       "    history: Tue May 10 11:37:33 2005: ncatted -a missing_value,info,o,s,32766 /Datasets/interp_OLR/olr.day.mean.nc\n",
+       "/home/hoop/crdc/oldCRDC2COARDSv3/oldCRDC2COARDS Sat Dec  9 01:36:34 1995 from olr.7494.nc\n",
+       "created 08/24/94 by C. Smith (netCDF2.3)\n",
+       "    description: Data is interpolated in time and space from NOAA twice-daily OLR values and averaged to once daily\n",
+       "    platform: Observation\n",
+       "    Conventions: COARDS\n",
+       "    reference: Liebmann and Smith (Bulletin of the American Meteorological Society 1996)\n",
+       "    references: http://www.esrl.noaa.gov/psd/data/gridded/data.interp_OLR.html\n",
+       "    NCO: 4.0.0\n",
+       "    DODS_EXTRA.Unlimited_Dimension: time"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "olr_sub"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m = bm(projection='merc',llcrnrlat=-30,urcrnrlat=30,\\\n",
+    "            llcrnrlon=170,urcrnrlon=300,\\\n",
+    "            lat_ts=0,resolution='c')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lons, lats = np.meshgrid(olr_sub['lon'], olr_sub['lat'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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jPTFbyNx5MOz5IEwfDNMGwaiZ0P8zmDgQvjtj13ZSwhf/AbVN2bvWTlILWNZI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CJtvZDjCTmmimjsuws8u6MFO54sYtrM/oAqOFZRs4g5KaeAd1ourVAsplXwM68u7H6EY/u3jc2z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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x10bb571d0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_field(olr_sub['olr'].values, lats, lons, 80, 300, 10, grid=True)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/pvlib/solarposition.py b/pvlib/solarposition.py
index b667ac04e0..197fd1e2af 100644
--- a/pvlib/solarposition.py
+++ b/pvlib/solarposition.py
@@ -20,6 +20,7 @@
 
 import numpy as np
 import pandas as pd
+import xarray as xr
 import scipy.optimize as so
 import warnings
 
@@ -389,6 +390,113 @@ def spa_python(time, latitude, longitude,
     return result
 
 
+def spa_xarray_python(time, latitude, longitude, latitude_index, longitude_index,
+               altitude=0, pressure=101325, temperature=12, delta_t=67.0,
+               atmos_refract=None, how='numpy', numthreads=4, **kwargs):
+    """
+    Calculate the solar position using a python implementation of the
+    NREL SPA algorithm described in [1].
+
+    If numba is installed, the functions can be compiled to
+    machine code and the function can be multithreaded.
+    Without numba, the function evaluates via numpy with
+    a slight performance hit.
+
+    Parameters
+    ----------
+    time : pandas.DatetimeIndex
+        Localized or UTC.
+    latitude : float
+    longitude : float
+    altitude : float, default 0
+    pressure : int or float, optional, default 101325
+        avg. yearly air pressure in Pascals.
+    temperature : int or float, optional, default 12
+        avg. yearly air temperature in degrees C.
+    delta_t : float, optional, default 67.0
+        If delta_t is None, uses spa.calculate_deltat
+        using time.year and time.month from pandas.DatetimeIndex.
+        For most simulations specifing delta_t is sufficient.
+        Difference between terrestrial time and UT1.
+        *Note: delta_t = None will break code using nrel_numba,
+        this will be fixed in a future version.*
+        The USNO has historical and forecasted delta_t [3].
+    atmos_refrac : None or float, optional, default None
+        The approximate atmospheric refraction (in degrees)
+        at sunrise and sunset.
+    how : str, optional, default 'numpy'
+        Options are 'numpy' or 'numba'. If numba >= 0.17.0
+        is installed, how='numba' will compile the spa functions
+        to machine code and run them multithreaded.
+    numthreads : int, optional, default 4
+        Number of threads to use if how == 'numba'.
+
+    Returns
+    -------
+    DataFrame
+        The DataFrame will have the following columns:
+        apparent_zenith (degrees),
+        zenith (degrees),
+        apparent_elevation (degrees),
+        elevation (degrees),
+        azimuth (degrees),
+        equation_of_time (minutes).
+
+
+    References
+    ----------
+    [1] I. Reda and A. Andreas, Solar position algorithm for solar
+    radiation applications. Solar Energy, vol. 76, no. 5, pp. 577-589, 2004.
+
+    [2] I. Reda and A. Andreas, Corrigendum to Solar position algorithm for
+    solar radiation applications. Solar Energy, vol. 81, no. 6, p. 838, 2007.
+
+    [3] USNO delta T:
+    http://www.usno.navy.mil/USNO/earth-orientation/eo-products/long-term
+
+    See also
+    --------
+    pyephem, spa_c, ephemeris
+    """
+
+    # Added by Tony Lorenzo (@alorenzo175), University of Arizona, 2015
+
+    lat = latitude
+    lat_idx = latitude_index
+    lon = longitude
+    lon_idx = longitude_index
+    elev = altitude
+    pressure = pressure / 100  # pressure must be in millibars for calculation
+
+    atmos_refract = atmos_refract or 0.5667
+
+    if not isinstance(time, pd.DatetimeIndex):
+        try:
+            time = pd.DatetimeIndex(time)
+        except (TypeError, ValueError):
+            time = pd.DatetimeIndex([time, ])
+
+    unixtime = np.array(time.astype(np.int64) / 10 ** 9)
+
+    spa = _spa_python_import(how)
+
+    delta_t = delta_t or spa.calculate_deltat(time.year, time.month)
+
+    app_zenith, zenith, app_elevation, elevation, azimuth, eot = \
+        spa.solar_position(unixtime, lat, lon, elev, pressure, temperature,
+                           delta_t, atmos_refract, numthreads)
+
+    result = pd.DataFrame({'apparent_zenith': app_zenith, 'zenith': zenith,
+                           'apparent_elevation': app_elevation,
+                           'elevation': elevation, 'azimuth': azimuth,
+                           'equation_of_time': eot,
+                           'Time': time, 'south_north': lat_idx, 'west_east': lon_idx},
+                          )
+    result.set_index(['Time', 'south_north', 'west_east'], inplace=True)
+
+    return result
+
+
 def sun_rise_set_transit_spa(times, latitude, longitude, how='numpy',
                              delta_t=67.0, numthreads=4):
     """
diff --git a/pvlib/tests/test_wrfcast.py b/pvlib/tests/test_wrfcast.py
new file mode 100644
index 0000000000..c71f77cfa2
--- /dev/null
+++ b/pvlib/tests/test_wrfcast.py
@@ -0,0 +1,28 @@
+"""
+Tests for the wrfcast.py module.
+"""
+import os
+import xarray as xr
+from pvlib import wrfcast
+from pvlib.wrfcast import WRF
+
+# Below are the testing parameters... they may be flexible
+wrfout = os.path.join(
+    '/Users/jsward/Box Sync/01_Research/01_Renewable_Analysis/',
+    'Wind Resource Analysis/wrfout/19mp4lw4sw7lsm8pbl99cu',
+    'wrfout_d02_2011-07-17')
+start = 'July 17 2011'
+end = 'Jul 18 2011'
+
+
+def test_get_wrf_data():
+    model = WRF()
+    wrfdata = model.get_wrf_data(wrfout, start, end)
+    assert type(wrfdata) == xr.Dataset
+
+
+def test_process_data():
+    model = WRF()
+    wrfdata = model.get_processed_data(wrfout, start, end)
+    assert list(wrfdata.keys()) == model.output_variables
+    
\ No newline at end of file
diff --git a/pvlib/wrfcast.py b/pvlib/wrfcast.py
new file mode 100644
index 0000000000..973ad9e4f4
--- /dev/null
+++ b/pvlib/wrfcast.py
@@ -0,0 +1,846 @@
+'''
+The 'forecast' module contains class definitions for
+retreiving forecasted data from UNIDATA Thredd servers.
+'''
+import datetime
+from netCDF4 import num2date, Dataset
+import numpy as np
+import pandas as pd
+import xarray as xr
+from requests.exceptions import HTTPError
+from xml.etree.ElementTree import ParseError
+
+from pvlib.location import Location
+from pvlib.irradiance import campbell_norman, get_extra_radiation, disc
+from pvlib.irradiance import _liujordan
+import wrf
+from siphon.catalog import TDSCatalog
+from siphon.ncss import NCSS
+
+import warnings
+
+# warnings.warn(
+#     'The forecast module algorithms and features are highly experimental. '
+#     'The API may change, the functionality may be consolidated into an io '
+#     'module, or the module may be separated into its own package.')
+
+
+class ForecastModel(object):
+    """
+    An object for querying and holding forecast model information for
+    use within the pvlib library.
+
+    Simplifies use of siphon library on a THREDDS server.
+
+    Parameters
+    ----------
+    model_type: string
+        UNIDATA category in which the model is located.
+    model_name: string
+        Name of the UNIDATA forecast model.
+    set_type: string
+        Model dataset type.
+
+    Attributes
+    ----------
+    access_url: string
+        URL specifying the dataset from data will be retrieved.
+    base_tds_url : string
+        The top level server address
+    catalog_url : string
+        The url path of the catalog to parse.
+    data: pd.DataFrame
+        Data returned from the query.
+    data_format: string
+        Format of the forecast data being requested from UNIDATA.
+    dataset: Dataset
+        Object containing information used to access forecast data.
+    dataframe_variables: list
+        Model variables that are present in the data.
+    datasets_list: list
+        List of all available datasets.
+    fm_models: Dataset
+        TDSCatalog object containing all available
+        forecast models from UNIDATA.
+    fm_models_list: list
+        List of all available forecast models from UNIDATA.
+    latitude: list
+        A list of floats containing latitude values.
+    location: Location
+        A pvlib Location object containing geographic quantities.
+    longitude: list
+        A list of floats containing longitude values.
+    lbox: boolean
+        Indicates the use of a location bounding box.
+    ncss: NCSS object
+        NCSS
+    model_name: string
+        Name of the UNIDATA forecast model.
+    model: Dataset
+        A dictionary of Dataset object, whose keys are the name of the
+        dataset's name.
+    model_url: string
+        The url path of the dataset to parse.
+    modelvariables: list
+        Common variable names that correspond to queryvariables.
+    query: NCSS query object
+        NCSS object used to complete the forecast data retrival.
+    queryvariables: list
+        Variables that are used to query the THREDDS Data Server.
+    time: DatetimeIndex
+        Time range.
+    variables: dict
+        Defines the variables to obtain from the weather
+        model and how they should be renamed to common variable names.
+    units: dict
+        Dictionary containing the units of the standard variables
+        and the model specific variables.
+    vert_level: float or integer
+        Vertical altitude for query data.
+    """
+
+    data_format = 'netcdf'
+
+    units = {
+        'temp_air': 'C',
+        'wind_speed': 'm/s',
+        'ghi': 'W/m^2',
+        'ghi_raw': 'W/m^2',
+        'dni': 'W/m^2',
+        'dhi': 'W/m^2',
+        'total_clouds': '%',
+        'low_clouds': '%',
+        'mid_clouds': '%',
+        'high_clouds': '%'}
+
+    def __init__(self, model_type, model_name, set_type, vert_level=None):
+        self.model_type = model_type
+        self.model_name = model_name
+        self.set_type = set_type
+        self.connected = False
+        self.vert_level = vert_level
+
+    def __repr__(self):
+        return '{}, {}'.format(self.model_name, self.set_type)
+
+    def get_data(self, latitude, longitude, start, end,
+                 vert_level=None, query_variables=None,
+                 close_netcdf_data=True, **kwargs):
+        """
+        Submits a query to the UNIDATA servers using Siphon NCSS and
+        converts the netcdf data to a pandas DataFrame.
+
+        Parameters
+        ----------
+        latitude: float
+            The latitude value.
+        longitude: float
+            The longitude value.
+        start: datetime or timestamp
+            The start time.
+        end: datetime or timestamp
+            The end time.
+        vert_level: None, float or integer, default None
+            Vertical altitude of interest.
+        query_variables: None or list, default None
+            If None, uses self.variables.
+        close_netcdf_data: bool, default True
+            Controls if the temporary netcdf data file should be closed.
+            Set to False to access the raw data.
+        **kwargs:
+            Additional keyword arguments are silently ignored.
+
+        Returns
+        -------
+        forecast_data : DataFrame
+            column names are the weather model's variable names.
+        """
+
+        if not self.connected:
+            self.connect_to_catalog()
+
+        if vert_level is not None:
+            self.vert_level = vert_level
+
+        if query_variables is None:
+            self.query_variables = list(self.variables.values())
+        else:
+            self.query_variables = query_variables
+
+        self.latitude = latitude
+        self.longitude = longitude
+        self.set_query_latlon()  # modifies self.query
+        self.set_location(start, latitude, longitude)
+
+        self.start = start
+        self.end = end
+        self.query.time_range(self.start, self.end)
+
+        if self.vert_level is not None:
+            self.query.vertical_level(self.vert_level)
+
+        self.query.variables(*self.query_variables)
+        self.query.accept(self.data_format)
+
+        self.netcdf_data = self.ncss.get_data(self.query)
+
+        # might be better to go to xarray here so that we can handle
+        # higher dimensional data for more advanced applications
+        self.data = self._netcdf2pandas(self.netcdf_data, self.query_variables,
+                                        self.start, self.end)
+
+        if close_netcdf_data:
+            self.netcdf_data.close()
+
+        return self.data
+
+    def get_wrf_data(self, wrfout_file, start, end,
+                     vert_level=None, query_variables=None,
+                     close_netcdf_data=True, **kwargs):
+        """
+        Finds a local wrfout file and
+        converts the netcdf data to a xarray Dataset.
+
+        Parameters
+        ----------
+        wrfout_file: str
+            Location of wrfout NetCDF file.
+        vert_level: None, float or integer, default None
+            Vertical altitude of interest.
+        query_variables: None or list, default None
+            If None, uses self.variables.
+        close_netcdf_data: bool, default True
+            Controls if the temporary netcdf data file should be closed.
+            Set to False to access the raw data.
+        **kwargs:
+            Additional keyword arguments are silently ignored.
+
+        Returns
+        -------
+        forecast_data : DataFrame
+            column names are the weather model's variable names.
+        """
+
+        if vert_level is not None:
+            self.vert_level = vert_level
+
+        if query_variables is None:
+            self.query_variables = list(self.variables.values())
+        else:
+            self.query_variables = query_variables
+
+        self.netcdf_data = Dataset(wrfout_file)
+
+        self.data = self._wrf2xarray(self.netcdf_data, self.query_variables,
+                                     start, end)
+
+        if close_netcdf_data:
+            self.netcdf_data.close()
+
+        return self.data
+
+    def process_data(self, data, **kwargs):
+        """
+        Defines the steps needed to convert raw forecast data
+        into processed forecast data. Most forecast models implement
+        their own version of this method which also call this one.
+
+        Parameters
+        ----------
+        data: DataFrame
+            Raw forecast data
+
+        Returns
+        -------
+        data: DataFrame
+            Processed forecast data.
+        """
+        data = self.rename(data)
+        return data
+
+    def get_processed_data(self, *args, **kwargs):
+        """
+        Get and process forecast data.
+
+        Parameters
+        ----------
+        *args: positional arguments
+            Passed to get_data
+        **kwargs: keyword arguments
+            Passed to get_data and process_data
+
+        Returns
+        -------
+        data: DataFrame
+            Processed forecast data
+        """
+        if self.model_name == 'WRF Forecast':
+            return self.process_data(self.get_wrf_data(*args, **kwargs), **kwargs)
+        else:
+            return self.process_data(self.get_data(*args, **kwargs), **kwargs)
+
+    def rename(self, data, variables=None):
+        """
+        Renames the columns according the variable mapping.
+
+        Parameters
+        ----------
+        data: DataFrame
+        variables: None or dict, default None
+            If None, uses self.variables
+
+        Returns
+        -------
+        data: DataFrame
+            Renamed data.
+        """
+        if variables is None:
+            variables = self.variables
+        return data.rename(columns={y: x for x, y in variables.items()})
+
+    def _wrf2xarray(self, netcdf_data, query_variables, start, end):
+        """
+        Transforms data from netcdf to xarray Dataset.
+
+        Parameters
+        ----------
+        data: netcdf
+            Data returned from UNIDATA NCSS query, or from your local forecast.
+        query_variables: list
+            The variables requested.
+        start: Timestamp
+            The start time
+        end: Timestamp
+            The end time
+
+        Returns
+        -------
+        xarray.Dataset
+        """
+        first = True
+        for key in query_variables:
+            var = wrf.getvar(netcdf_data, key, timeidx=wrf.ALL_TIMES)
+            if first:
+                data = var
+                first = False
+            else:
+                with xr.set_options(keep_attrs=True):
+                    try:
+                        data = xr.merge([data, var])
+                    except ValueError:
+                        data = data.drop_vars('Time')
+                        data = xr.merge([data, var])
+
+        # Get global attributes from the NetCDF Dataset
+        wrfattrs_names = netcdf_data.ncattrs()
+        wrfattrs = wrf.extract_global_attrs(netcdf_data, wrfattrs_names)
+        data = data.assign_attrs(wrfattrs)
+
+        # Fix a bug in how wrfout data is read in -- attributes must be strings to be written to NetCDF
+        for var in data.data_vars:
+            try:
+                data[var].attrs['projection'] = str(data[var].attrs['projection'])
+            except KeyError:
+                pass
+
+        # Fix another bug that creates a conflict in the 'coordinates' attribute
+        for var in data.data_vars:
+            try:
+                del data[var].attrs['coordinates']
+            except KeyError:
+                pass
+
+        # Slice the dataset to only include specified time interval
+        data = data.sel(Time=slice(start, end))
+        return data
+
+    def _netcdf2pandas(self, netcdf_data, query_variables, start, end):
+        """
+        Transforms data from netcdf to pandas DataFrame.
+
+        Parameters
+        ----------
+        data: netcdf
+            Data returned from UNIDATA NCSS query, or from your local forecast.
+        query_variables: list
+            The variables requested.
+        start: Timestamp
+            The start time
+        end: Timestamp
+            The end time
+
+        Returns
+        -------
+        pd.DataFrame
+        """
+        # set self.time
+        try:
+            time_var = 'time'
+            self.set_time(netcdf_data.variables[time_var])
+        except KeyError:
+            # which model does this dumb thing?
+            time_var = 'time1'
+            self.set_time(netcdf_data.variables[time_var])
+
+        data_dict = {}
+        for key, data in netcdf_data.variables.items():
+            # if accounts for possibility of extra variable returned
+            if key not in query_variables:
+                continue
+            squeezed = data[:].squeeze()
+            if squeezed.ndim == 1:
+                data_dict[key] = squeezed
+            elif squeezed.ndim == 2:
+                for num, data_level in enumerate(squeezed.T):
+                    data_dict[key + '_' + str(num)] = data_level
+            else:
+                raise ValueError('cannot parse ndim > 2')
+
+        data = pd.DataFrame(data_dict, index=self.time)
+        # sometimes data is returned as hours since T0
+        # where T0 is before start. Then the hours between
+        # T0 and start are added *after* end. So sort and slice
+        # to remove the garbage
+        data = data.sort_index().loc[start:end]
+        return data
+
+    def set_time(self, time):
+        '''
+        Converts time data into a pandas date object.
+
+        Parameters
+        ----------
+        time: netcdf
+            Contains time information.
+
+        Returns
+        -------
+        pandas.DatetimeIndex
+        '''
+        times = num2date(time[:].squeeze(), time.units)
+        self.time = pd.DatetimeIndex(pd.Series(times), tz=self.location.tz)
+
+    def cloud_cover_to_ghi_linear(self, cloud_cover, ghi_clear, offset=35,
+                                  **kwargs):
+        """
+        Convert cloud cover to GHI using a linear relationship.
+
+        0% cloud cover returns ghi_clear.
+
+        100% cloud cover returns offset*ghi_clear.
+
+        Parameters
+        ----------
+        cloud_cover: numeric
+            Cloud cover in %.
+        ghi_clear: numeric
+            GHI under clear sky conditions.
+        offset: numeric, default 35
+            Determines the minimum GHI.
+        kwargs
+            Not used.
+
+        Returns
+        -------
+        ghi: numeric
+            Estimated GHI.
+
+        References
+        ----------
+        Larson et. al. "Day-ahead forecasting of solar power output from
+        photovoltaic plants in the American Southwest" Renewable Energy
+        91, 11-20 (2016).
+        """
+
+        offset = offset / 100.
+        cloud_cover = cloud_cover / 100.
+        ghi = (offset + (1 - offset) * (1 - cloud_cover)) * ghi_clear
+        return ghi
+
+    def cloud_cover_to_irradiance_clearsky_scaling(self, cloud_cover,
+                                                   method='linear',
+                                                   **kwargs):
+        """
+        Estimates irradiance from cloud cover in the following steps:
+
+        1. Determine clear sky GHI using Ineichen model and
+           climatological turbidity.
+        2. Estimate cloudy sky GHI using a function of
+           cloud_cover e.g.
+           :py:meth:`~ForecastModel.cloud_cover_to_ghi_linear`
+        3. Estimate cloudy sky DNI using the DISC model.
+        4. Calculate DHI from DNI and GHI.
+
+        Parameters
+        ----------
+        cloud_cover : Series
+            Cloud cover in %.
+        method : str, default 'linear'
+            Method for converting cloud cover to GHI.
+            'linear' is currently the only option.
+        **kwargs
+            Passed to the method that does the conversion
+
+        Returns
+        -------
+        irrads : DataFrame
+            Estimated GHI, DNI, and DHI.
+        """
+        solpos = self.location.get_solarposition(cloud_cover.index)
+        cs = self.location.get_clearsky(cloud_cover.index, model='ineichen',
+                                        solar_position=solpos)
+
+        method = method.lower()
+        if method == 'linear':
+            ghi = self.cloud_cover_to_ghi_linear(cloud_cover, cs['ghi'],
+                                                 **kwargs)
+        else:
+            raise ValueError('invalid method argument')
+
+        dni = disc(ghi, solpos['zenith'], cloud_cover.index)['dni']
+        dhi = ghi - dni * np.cos(np.radians(solpos['zenith']))
+
+        irrads = pd.DataFrame({'ghi': ghi, 'dni': dni, 'dhi': dhi}).fillna(0)
+        return irrads
+
+    def cloud_cover_to_transmittance_linear(self, cloud_cover, offset=0.75,
+                                            **kwargs):
+        """
+        Convert cloud cover to atmospheric transmittance using a linear
+        model.
+
+        0% cloud cover returns offset.
+
+        100% cloud cover returns 0.
+
+        Parameters
+        ----------
+        cloud_cover : numeric
+            Cloud cover in %.
+        offset : numeric, default 0.75
+            Determines the maximum transmittance.
+        kwargs
+            Not used.
+
+        Returns
+        -------
+        ghi : numeric
+            Estimated GHI.
+        """
+        transmittance = ((100.0 - cloud_cover) / 100.0) * offset
+
+        return transmittance
+
+    def cloud_cover_to_irradiance_liujordan(self, cloud_cover, **kwargs):
+        """
+        Estimates irradiance from cloud cover in the following steps:
+
+        1. Determine transmittance using a function of cloud cover e.g.
+           :py:meth:`~ForecastModel.cloud_cover_to_transmittance_linear`
+        2. Calculate GHI, DNI, DHI using the
+           :py:func:`pvlib.irradiance.liujordan` model
+
+        Parameters
+        ----------
+        cloud_cover : Series
+
+        Returns
+        -------
+        irradiance : DataFrame
+            Columns include ghi, dni, dhi
+        """
+        # in principle, get_solarposition could use the forecast
+        # pressure, temp, etc., but the cloud cover forecast is not
+        # accurate enough to justify using these minor corrections
+        solar_position = self.location.get_solarposition(cloud_cover.index)
+        dni_extra = get_extra_radiation(cloud_cover.index)
+        airmass = self.location.get_airmass(cloud_cover.index)
+
+        transmittance = self.cloud_cover_to_transmittance_linear(cloud_cover,
+                                                                 **kwargs)
+
+        irrads = liujordan(solar_position['apparent_zenith'],
+                           transmittance, airmass['airmass_absolute'],
+                           dni_extra=dni_extra)
+        irrads = irrads.fillna(0)
+
+        return irrads
+
+    def cloud_cover_to_irradiance(self, cloud_cover, how='clearsky_scaling',
+                                  **kwargs):
+        """
+        Convert cloud cover to irradiance. A wrapper method.
+
+        Parameters
+        ----------
+        cloud_cover : Series
+        how : str, default 'clearsky_scaling'
+            Selects the method for conversion. Can be one of
+            clearsky_scaling or liujordan.
+        **kwargs
+            Passed to the selected method.
+
+        Returns
+        -------
+        irradiance : DataFrame
+            Columns include ghi, dni, dhi
+        """
+
+        how = how.lower()
+        if how == 'clearsky_scaling':
+            irrads = self.cloud_cover_to_irradiance_clearsky_scaling(
+                cloud_cover, **kwargs)
+        elif how == 'liujordan':
+            irrads = self.cloud_cover_to_irradiance_liujordan(
+                cloud_cover, **kwargs)
+        else:
+            raise ValueError('invalid how argument')
+
+        return irrads
+
+    def dni_and_dhi_to_ghi(self, dni, dhi, cos_zenith, **kwargs):
+        """
+        Calculates global horizontal irradiance.
+
+        Parameters
+        ----------
+        dni : Series
+            Direct normal irradiance in W m-2.
+        dhi : Series
+            Diffuse normal irradiance in W m-2.
+        cos_zenith : Series
+            Cosine of the solar zenith angle (dimensionless).
+        **kwargs
+            Not used
+
+        Returns
+        -------
+        ghi : Series (but maybe should be DataFrame)
+            Global horizontal irradiance in W m-2.
+        """
+
+        ghi = dhi + dni * cos_zenith
+        return ghi
+
+    def kelvin_to_celsius(self, temperature):
+        """
+        Converts Kelvin to celsius.
+
+        Parameters
+        ----------
+        temperature: numeric
+
+        Returns
+        -------
+        temperature: numeric
+        """
+        return temperature - 273.15
+
+    def uv_to_speed(self, data):
+        """
+        Computes wind speed from wind components.
+
+        Parameters
+        ----------
+        data : DataFrame
+            Must contain the columns 'wind_speed_u' and 'wind_speed_v'.
+
+        Returns
+        -------
+        wind_speed : Series
+        """
+        wind_speed = np.sqrt(data['wind_speed_u']**2 + data['wind_speed_v']**2)
+
+        return wind_speed
+
+    def gust_to_speed(self, data, scaling=1/1.4):
+        """
+        Computes standard wind speed from gust.
+        Very approximate and location dependent.
+
+        Parameters
+        ----------
+        data : DataFrame
+            Must contain the column 'wind_speed_gust'.
+
+        Returns
+        -------
+        wind_speed : Series
+        """
+        wind_speed = data['wind_speed_gust'] * scaling
+
+        return wind_speed
+
+
+class WRF(ForecastModel):
+    """
+    Subclass of the ForecastModel class representing your own
+    WRF forecast model.
+
+    Parameters
+    ----------
+    set_type: string, default 'best'
+        Not used
+
+    Attributes
+    ----------
+    dataframe_variables: list
+        Common variables present in the final set of data.
+    model: string
+        Name of the UNIDATA forecast model.
+    model_type: string
+        UNIDATA category in which the model is located.
+    variables: dict
+        Defines the variables to obtain from the weather
+        model and how they should be renamed to common variable names.
+    units: dict
+        Dictionary containing the units of the standard variables
+        and the model specific variables.
+    """
+
+    def __init__(self, set_type='best'):
+        model_type = 'Forecast Model Data'
+        model_name = 'WRF Forecast'
+
+        self.variables = {
+            'temp_air': 'T2',  # TEMP at 2 M
+            'wind_speed_u': 'U10',  # U at 10 M
+            'wind_speed_v': 'V10',  # V at 10 M
+            'total_clouds': 'CLDFRA',  # CLOUD FRACTION
+            'cos_zenith': 'COSZEN',  # Cos of solar zenith angle
+            'dni': 'SWDDNI',  # Shortwave surface downward direct normal irradiance
+            'dhi': 'SWDDIF',  # Shortwave surface downward diffuse irradiance
+            }
+
+        self.output_variables = [
+            'temp_air',
+            'wind_speed',
+            'ghi',
+            'dni',
+            'dhi'
+            ]
+
+        super().__init__(model_type, model_name, set_type, vert_level=None)
+
+    def get_data(self, wrfout_dir, wrfout_file, start=None, end=None, 
+                 query_variables=None, **kwargs):
+
+        if query_variables is None:
+            self.query_variables = list(self.variables.values())
+        else:
+            self.query_variables = query_variables
+
+        # Absolute path to wrfout data file
+        datapath = wrfout_dir + wrfout_file
+
+        # Read in the wrfout file using the netCDF4.Dataset method 
+        # (You could probably also do this with an xarray method)
+        netcdf_data = Dataset(datapath)
+
+        # Create an xarray.Dataset from the wrf qurery_variables.
+        data = self._wrf2xarray(netcdf_data, self.query_variables)
+
+        # Slice the wrfout data if start and end times ares specified
+        if start and end is not None:
+            self.start = pd.Timestamp(start)
+            self.end = pd.Timestamp(end)
+            data = data.sel(Time=slice(self.start, self.end))
+
+        return data
+
+    def process_data(self, data, **kwargs):
+        """
+        Defines the steps needed to convert raw forecast data
+        into processed forecast data.
+
+        Parameters
+        ----------
+        data: xarray.Dataset
+            Raw forecast data
+
+        Returns
+        -------
+        data: DataFrame
+            Processed forecast data.
+        """
+
+        # Rename the variables 
+        # (we have to invert them first to maintain the input format)
+        data = xr.Dataset.rename(data, {y: x for x, y in self.variables.items()})
+
+        # Calculate other quantities
+        data['temp_air'] = self.kelvin_to_celsius(data['temp_air'])
+        data['wind_speed'] = self.uv_to_speed(data)
+        data['ghi'] = self.dni_and_dhi_to_ghi(data['dni'], data['dhi'], data['cos_zenith'])
+
+        # Drop unnecessary coordinate
+        data = xr.Dataset.reset_coords(data, ['XTIME'], drop=True)
+
+        return data[self.output_variables]
+
+    def get_wspd_wdir(self, netcdf_data, key):
+        """
+        Formats the wind speed and wind direction so it can be merged into
+        an xarray Dataset with all the other variables extracted using getvar
+        :param netcdf_data:
+        :param key:
+        :return:
+        """
+        var = wrf.getvar(netcdf_data, key, wrf.ALL_TIMES)
+        var = xr.DataArray.reset_coords(var, ['wspd_wdir'], drop=True)
+        var.name = key
+        return var
+
+    def _wrf2xarray(self, netcdf_data, query_variables):
+        """
+        Gets data from the netcdf wrfout file and uses wrf-python
+        to create an xarray Dataset.
+
+        Parameters
+        ----------
+        netcdf_data: netcdf
+            Data returned from your WRF forecast.
+        query_variables: list
+            The variables requested.
+
+        Returns
+        -------
+        xarray.Dataset
+        """
+        first = True
+        for key in query_variables:
+            if key in ['wspd', 'wdir']:
+                var = self.get_wspd_wdir(netcdf_data, key)
+            else:
+                var = wrf.getvar(netcdf_data, key, timeidx=wrf.ALL_TIMES)
+            if first:
+                data = var
+                first = False
+            else:
+                with xr.set_options(keep_attrs=True):
+                    try:
+                        data = xr.merge([data, var])
+                    except ValueError:
+                        data = data.drop_vars('Time')
+                        data = xr.merge([data, var])
+
+        # Get global attributes from the NetCDF Dataset
+        wrfattrs_names = netcdf_data.ncattrs()
+        wrfattrs = wrf.extract_global_attrs(netcdf_data, wrfattrs_names)
+        data = data.assign_attrs(wrfattrs)
+
+        # Fix a bug in how wrfout data is read in -- attributes must be strings to be written to NetCDF
+        for var in data.data_vars:
+            try:
+                data[var].attrs['projection'] = str(data[var].attrs['projection'])
+            except KeyError:
+                pass
+
+        # Fix another bug that creates a conflict in the 'coordinates' attribute
+        for var in data.data_vars:
+            try:
+                del data[var].attrs['coordinates']
+            except KeyError:
+                pass
+
+        return data