05d-GIS-netcdf-cartopy.ipynb

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    "![logo](Data/logo.png)"
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   "source": [
    "This notebook shows how to load data from a netcdf using `xarray` file and plot them in a coordinate system using cartopy."
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   "source": [
    "#import library\n",
    "import xarray as xr\n",
    "import netCDF4\n",
    "import cartopy\n",
    "import cftime\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "import pyproj"
   ]
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   "id": "3de54b0f-8393-48a0-a77f-d1ee08f58366",
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   "source": [
    "We use here a netcdf file that include output from a MesoNH simulation."
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   "execution_count": 4,
   "id": "791afecc-368b-4aee-85df-c1cd72f49fa2",
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   "source": [
    "fileinput = '/data/IMFSE/PythonCourse/MNH/FCAST_model3.nc'"
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   "id": "3a5db7c0-ab74-48d6-916e-85e3a216dc39",
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   "source": [
    "to open the netcdf file for this file, we need to set `decode_times` to False, as the time units in the file was not set properly."
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   "execution_count": 5,
   "id": "533b603b-583f-4e67-b79c-885bbfe26282",
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   "source": [
    "ds = xr.open_dataset(fileinput, decode_times=False)"
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   "id": "bed12298-e48a-48bc-8c2f-1a64da7d7416",
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   "source": [
    "you can see the time unit using netCDF4 which is a less lower level library that deals directly with netCDF file structures. It requires more manual handling of the data, such as keeping track of dimensions and coordinates separately. "
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     "data": {
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       "<class 'netCDF4._netCDF4.Variable'>\n",
       "float64 time(time)\n",
       "    long_name: time\n",
       "    standard_name: time\n",
       "    units: seconds since fire ignition: 2022-07-16 00:00:00.000000\n",
       "unlimited dimensions: time\n",
       "current shape = (49,)\n",
       "filling on, default _FillValue of 9.969209968386869e+36 used"
      ]
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     "execution_count": 6,
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   "source": [
    "nc = netCDF4.Dataset(fileinput)\n",
    "nc['time']"
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   "source": [
    "units should read `seconds since: 2022-07-16 00:00:00.000000` to be correctly interpreted in `xarray`  \n",
    "To correct this we run the following commands:"
   ]
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     "text": [
      "<xarray.DataArray 'time' (time: 49)> Size: 392B\n",
      "array(['2022-07-16T00:00:00.000000000', '2022-07-16T01:00:00.000000000',\n",
      "       '2022-07-16T02:00:00.000000000', '2022-07-16T03:00:00.000000000',\n",
      "       '2022-07-16T04:00:00.000000000', '2022-07-16T05:00:00.000000000',\n",
      "       '2022-07-16T06:00:00.000000000', '2022-07-16T07:00:00.000000000',\n",
      "       '2022-07-16T08:00:00.000000000', '2022-07-16T09:00:00.000000000',\n",
      "       '2022-07-16T10:00:00.000000000', '2022-07-16T11:00:00.000000000',\n",
      "       '2022-07-16T12:00:00.000000000', '2022-07-16T13:00:00.000000000',\n",
      "       '2022-07-16T14:00:00.000000000', '2022-07-16T15:00:00.000000000',\n",
      "       '2022-07-16T16:00:00.000000000', '2022-07-16T17:00:00.000000000',\n",
      "       '2022-07-16T18:00:00.000000000', '2022-07-16T19:00:00.000000000',\n",
      "       '2022-07-16T20:00:00.000000000', '2022-07-16T21:00:00.000000000',\n",
      "       '2022-07-16T22:00:00.000000000', '2022-07-16T23:00:00.000000000',\n",
      "       '2022-07-17T00:00:00.000000000', '2022-07-17T01:00:00.000000000',\n",
      "       '2022-07-17T02:00:00.000000000', '2022-07-17T03:00:00.000000000',\n",
      "       '2022-07-17T04:00:00.000000000', '2022-07-17T05:00:00.000000000',\n",
      "       '2022-07-17T06:00:00.000000000', '2022-07-17T07:00:00.000000000',\n",
      "       '2022-07-17T08:00:00.000000000', '2022-07-17T09:00:00.000000000',\n",
      "       '2022-07-17T10:00:00.000000000', '2022-07-17T11:00:00.000000000',\n",
      "       '2022-07-17T12:00:00.000000000', '2022-07-17T13:00:00.000000000',\n",
      "       '2022-07-17T14:00:00.000000000', '2022-07-17T15:00:00.000000000',\n",
      "       '2022-07-17T16:00:00.000000000', '2022-07-17T17:00:00.000000000',\n",
      "       '2022-07-17T18:00:00.000000000', '2022-07-17T19:00:00.000000000',\n",
      "       '2022-07-17T20:00:00.000000000', '2022-07-17T21:00:00.000000000',\n",
      "       '2022-07-17T22:00:00.000000000', '2022-07-17T23:00:00.000000000',\n",
      "       '2022-07-18T00:00:00.000000000'], dtype='datetime64[ns]')\n",
      "Coordinates:\n",
      "  * time     (time) datetime64[ns] 392B 2022-07-16 ... 2022-07-18\n"
     ]
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   "source": [
    "# Extract the time variable\n",
    "time_var = ds[\"time\"]\n",
    "\n",
    "# Get the time units, and remove the non-standard prefix\n",
    "units = time_var.attrs['units'].replace('fire ignition: ', '')\n",
    "\n",
    "# Convert the time variable using cftime\n",
    "times = cftime.num2date(time_var.values, units=units, calendar='standard')\n",
    "\n",
    "# Convert to pandas datetime if needed\n",
    "times_as_datetime = [datetime(year=t.year, month=t.month, day=t.day, \n",
    "                              hour=t.hour, minute=t.minute, second=t.second,microsecond=t.microsecond)\n",
    "                     for t in times]\n",
    "\n",
    "\n",
    "# Replace the time variable in the dataset with the converted times\n",
    "ds[\"time\"] = (\"time\", times_as_datetime)\n",
    "\n",
    "# Print the dataset to check the time conversion\n",
    "print(ds[\"time\"])"
   ]
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   "source": [
    "the dataset is now well define. below is an overview of the data"
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       ".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",
       ".xr-no-icon {\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; Size: 3GB\n",
       "Dimensions:       (x: 100, y: 100, z: 50, time: 49)\n",
       "Coordinates:\n",
       "  * x             (x) float32 400B 2e+03 4e+03 6e+03 ... 1.96e+05 1.98e+05 2e+05\n",
       "  * y             (y) float32 400B 2e+03 4e+03 6e+03 ... 1.96e+05 1.98e+05 2e+05\n",
       "  * z             (z) float32 200B 15.0 46.5 81.15 ... 1.736e+04 1.826e+04\n",
       "  * time          (time) datetime64[ns] 392B 2022-07-16 ... 2022-07-18\n",
       "Data variables: (12/31)\n",
       "    lat           (y, x) float64 80kB ...\n",
       "    lon           (y, x) float64 80kB ...\n",
       "    dx            (z, y, x) float64 4MB ...\n",
       "    dy            (z, y, x) float64 4MB ...\n",
       "    dz            (z, y, x) float64 4MB ...\n",
       "    topography    (y, x) float64 80kB ...\n",
       "    ...            ...\n",
       "    vm10          (time, y, x) float64 4MB ...\n",
       "    gust10        (time, y, x) float64 4MB ...\n",
       "    lambda2       (time, z, y, x) float64 196MB ...\n",
       "    acprecip      (time, z, y, x) float64 196MB ...\n",
       "    cloudfrac     (time, z, y, x) float64 196MB ...\n",
       "    t2m           (time, y, x) float64 4MB ...\n",
       "Attributes:\n",
       "    description:  MNH Output for simulation FCAST and model1\n",
       "    created:      R. Paugam\n",
       "    company:      DoWeNeedOne\n",
       "    title:        MNH Output</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6b3c5a54-e162-4a0d-a202-6dd1ac0e026e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6b3c5a54-e162-4a0d-a202-6dd1ac0e026e' 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'>x</span>: 100</li><li><span class='xr-has-index'>y</span>: 100</li><li><span class='xr-has-index'>z</span>: 50</li><li><span class='xr-has-index'>time</span>: 49</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-46221340-0335-4e6f-bb08-d304ba29d661' class='xr-section-summary-in' type='checkbox'  checked><label for='section-46221340-0335-4e6f-bb08-d304ba29d661' 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 class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2e+03 4e+03 ... 1.98e+05 2e+05</div><input id='attrs-63561c0f-1d00-481a-82d9-c6772fff25ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63561c0f-1d00-481a-82d9-c6772fff25ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1d99d84-85e8-4e70-bc0e-f8242fb7e989' class='xr-var-data-in' type='checkbox'><label for='data-e1d99d84-85e8-4e70-bc0e-f8242fb7e989' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x</dd><dt><span>standard_name :</span></dt><dd>x</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([  2000.,   4000.,   6000.,   8000.,  10000.,  12000.,  14000.,  16000.,\n",
       "        18000.,  20000.,  22000.,  24000.,  26000.,  28000.,  30000.,  32000.,\n",
       "        34000.,  36000.,  38000.,  40000.,  42000.,  44000.,  46000.,  48000.,\n",
       "        50000.,  52000.,  54000.,  56000.,  58000.,  60000.,  62000.,  64000.,\n",
       "        66000.,  68000.,  70000.,  72000.,  74000.,  76000.,  78000.,  80000.,\n",
       "        82000.,  84000.,  86000.,  88000.,  90000.,  92000.,  94000.,  96000.,\n",
       "        98000., 100000., 102000., 104000., 106000., 108000., 110000., 112000.,\n",
       "       114000., 116000., 118000., 120000., 122000., 124000., 126000., 128000.,\n",
       "       130000., 132000., 134000., 136000., 138000., 140000., 142000., 144000.,\n",
       "       146000., 148000., 150000., 152000., 154000., 156000., 158000., 160000.,\n",
       "       162000., 164000., 166000., 168000., 170000., 172000., 174000., 176000.,\n",
       "       178000., 180000., 182000., 184000., 186000., 188000., 190000., 192000.,\n",
       "       194000., 196000., 198000., 200000.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2e+03 4e+03 ... 1.98e+05 2e+05</div><input id='attrs-3a6cd908-b08a-4312-a6f8-a7ce640a47c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a6cd908-b08a-4312-a6f8-a7ce640a47c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5277215-89cd-4b55-b734-50a609df5bce' class='xr-var-data-in' type='checkbox'><label for='data-e5277215-89cd-4b55-b734-50a609df5bce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y</dd><dt><span>standard_name :</span></dt><dd>y</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([  2000.,   4000.,   6000.,   8000.,  10000.,  12000.,  14000.,  16000.,\n",
       "        18000.,  20000.,  22000.,  24000.,  26000.,  28000.,  30000.,  32000.,\n",
       "        34000.,  36000.,  38000.,  40000.,  42000.,  44000.,  46000.,  48000.,\n",
       "        50000.,  52000.,  54000.,  56000.,  58000.,  60000.,  62000.,  64000.,\n",
       "        66000.,  68000.,  70000.,  72000.,  74000.,  76000.,  78000.,  80000.,\n",
       "        82000.,  84000.,  86000.,  88000.,  90000.,  92000.,  94000.,  96000.,\n",
       "        98000., 100000., 102000., 104000., 106000., 108000., 110000., 112000.,\n",
       "       114000., 116000., 118000., 120000., 122000., 124000., 126000., 128000.,\n",
       "       130000., 132000., 134000., 136000., 138000., 140000., 142000., 144000.,\n",
       "       146000., 148000., 150000., 152000., 154000., 156000., 158000., 160000.,\n",
       "       162000., 164000., 166000., 168000., 170000., 172000., 174000., 176000.,\n",
       "       178000., 180000., 182000., 184000., 186000., 188000., 190000., 192000.,\n",
       "       194000., 196000., 198000., 200000.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>15.0 46.5 ... 1.736e+04 1.826e+04</div><input id='attrs-8f9af3f7-d8df-4c5c-9958-d13dcda891a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f9af3f7-d8df-4c5c-9958-d13dcda891a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a8ae63e-01b8-4dfb-bcc6-3c6af6ad26b7' class='xr-var-data-in' type='checkbox'><label for='data-7a8ae63e-01b8-4dfb-bcc6-3c6af6ad26b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z</dd><dt><span>standard_name :</span></dt><dd>z</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([1.500000e+01, 4.650000e+01, 8.115000e+01, 1.192650e+02, 1.611915e+02,\n",
       "       2.073107e+02, 2.580417e+02, 3.138459e+02, 3.752305e+02, 4.427535e+02,\n",
       "       5.170289e+02, 5.987318e+02, 6.886049e+02, 7.874655e+02, 8.962120e+02,\n",
       "       1.015833e+03, 1.147417e+03, 1.292158e+03, 1.451374e+03, 1.626511e+03,\n",
       "       1.819162e+03, 2.031079e+03, 2.260523e+03, 2.505341e+03, 2.766561e+03,\n",
       "       3.045283e+03, 3.342680e+03, 3.660002e+03, 3.998584e+03, 4.359852e+03,\n",
       "       4.745325e+03, 5.156624e+03, 5.595480e+03, 6.063740e+03, 6.563373e+03,\n",
       "       7.096481e+03, 7.665308e+03, 8.272246e+03, 8.919850e+03, 9.610842e+03,\n",
       "       1.034813e+04, 1.113482e+04, 1.197421e+04, 1.285751e+04, 1.375751e+04,\n",
       "       1.465751e+04, 1.555751e+04, 1.645752e+04, 1.735752e+04, 1.825752e+04],\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'>2022-07-16 ... 2022-07-18</div><input id='attrs-35342f93-fb69-4c4f-b1f3-c74f35967a8c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-35342f93-fb69-4c4f-b1f3-c74f35967a8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2915694-f6d4-4f2b-a925-5fe7fb9c7e06' class='xr-var-data-in' type='checkbox'><label for='data-b2915694-f6d4-4f2b-a925-5fe7fb9c7e06' 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;2022-07-16T00:00:00.000000000&#x27;, &#x27;2022-07-16T01:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-16T02:00:00.000000000&#x27;, &#x27;2022-07-16T03:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-16T04:00:00.000000000&#x27;, &#x27;2022-07-16T05:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-16T06:00:00.000000000&#x27;, &#x27;2022-07-16T07:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-16T08:00:00.000000000&#x27;, &#x27;2022-07-16T09:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-16T10:00:00.000000000&#x27;, &#x27;2022-07-16T11:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-16T12:00:00.000000000&#x27;, &#x27;2022-07-16T13:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-16T14:00:00.000000000&#x27;, &#x27;2022-07-16T15:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-16T16:00:00.000000000&#x27;, &#x27;2022-07-16T17:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-16T18:00:00.000000000&#x27;, &#x27;2022-07-16T19:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-16T20:00:00.000000000&#x27;, &#x27;2022-07-16T21:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-16T22:00:00.000000000&#x27;, &#x27;2022-07-16T23:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-17T00:00:00.000000000&#x27;, &#x27;2022-07-17T01:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-17T02:00:00.000000000&#x27;, &#x27;2022-07-17T03:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-17T04:00:00.000000000&#x27;, &#x27;2022-07-17T05:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-17T06:00:00.000000000&#x27;, &#x27;2022-07-17T07:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-17T08:00:00.000000000&#x27;, &#x27;2022-07-17T09:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-17T10:00:00.000000000&#x27;, &#x27;2022-07-17T11:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-17T12:00:00.000000000&#x27;, &#x27;2022-07-17T13:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-17T14:00:00.000000000&#x27;, &#x27;2022-07-17T15:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-17T16:00:00.000000000&#x27;, &#x27;2022-07-17T17:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-17T18:00:00.000000000&#x27;, &#x27;2022-07-17T19:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-17T20:00:00.000000000&#x27;, &#x27;2022-07-17T21:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-17T22:00:00.000000000&#x27;, &#x27;2022-07-17T23:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-18T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-54848a7b-2dc5-43ad-a5aa-d8b11876c3ea' class='xr-section-summary-in' type='checkbox'  ><label for='section-54848a7b-2dc5-43ad-a5aa-d8b11876c3ea' class='xr-section-summary' >Data variables: <span>(31)</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>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0328cdfd-c863-42ad-8b14-5c5d4db3f4d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0328cdfd-c863-42ad-8b14-5c5d4db3f4d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fc28823-a478-4057-8207-7af708e04e21' class='xr-var-data-in' type='checkbox'><label for='data-5fc28823-a478-4057-8207-7af708e04e21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude center cell</dd><dt><span>standard_name :</span></dt><dd>lat</dd><dt><span>units :</span></dt><dd>degree</dd></dl></div><div class='xr-var-data'><pre>[10000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ae4e2824-899f-4b8b-9a5c-8b6e2f22e3f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae4e2824-899f-4b8b-9a5c-8b6e2f22e3f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9072e1c-e1fe-4eca-b476-ce1ef7071b6b' class='xr-var-data-in' type='checkbox'><label for='data-c9072e1c-e1fe-4eca-b476-ce1ef7071b6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude center cell</dd><dt><span>standard_name :</span></dt><dd>lon</dd><dt><span>units :</span></dt><dd>degree</dd></dl></div><div class='xr-var-data'><pre>[10000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dx</span></div><div class='xr-var-dims'>(z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-25259292-6e24-4cf4-a0d6-0752865bdb15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25259292-6e24-4cf4-a0d6-0752865bdb15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b755250e-8c35-4cb7-a372-8eceddfa318d' class='xr-var-data-in' type='checkbox'><label for='data-b755250e-8c35-4cb7-a372-8eceddfa318d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dx</dd><dt><span>standard_name :</span></dt><dd>dx</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dy</span></div><div class='xr-var-dims'>(z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8adce429-155e-43dd-8d0c-6d2f3576e9c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8adce429-155e-43dd-8d0c-6d2f3576e9c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44445e7f-f5d6-4588-bed0-539f52f21b12' class='xr-var-data-in' type='checkbox'><label for='data-44445e7f-f5d6-4588-bed0-539f52f21b12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dy</dd><dt><span>standard_name :</span></dt><dd>dy</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dz</span></div><div class='xr-var-dims'>(z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-316c571c-1408-4287-88f6-da2a585da299' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-316c571c-1408-4287-88f6-da2a585da299' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bffdccc-33f9-4d29-bf28-4cedbe54204f' class='xr-var-data-in' type='checkbox'><label for='data-8bffdccc-33f9-4d29-bf28-4cedbe54204f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dz</dd><dt><span>standard_name :</span></dt><dd>dz</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>topography</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e9060cbe-d0a9-47a2-9375-b5f0508a1fa9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9060cbe-d0a9-47a2-9375-b5f0508a1fa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50ae78af-fe5c-4792-9902-e23ebf827e34' class='xr-var-data-in' type='checkbox'><label for='data-50ae78af-fe5c-4792-9902-e23ebf827e34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>topography, altitude at z_hat=0</dd><dt><span>standard_name :</span></dt><dd>topo</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[10000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heatFlux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c16ba42-534f-4ec4-ab9e-8770f96691fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c16ba42-534f-4ec4-ab9e-8770f96691fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbf71f7a-5e80-4f19-a007-f6558d57e198' class='xr-var-data-in' type='checkbox'><label for='data-dbf71f7a-5e80-4f19-a007-f6558d57e198' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sensible Heat Flux</dd><dt><span>standard_name :</span></dt><dd>heatFlux</dd><dt><span>units :</span></dt><dd>kW/m2</dd></dl></div><div class='xr-var-data'><pre>[490000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surfPressure</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-be2dbaaf-8c6d-4201-90ab-9cef9f496246' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be2dbaaf-8c6d-4201-90ab-9cef9f496246' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fa8928f-00f7-40f6-9e88-668e5116a471' class='xr-var-data-in' type='checkbox'><label for='data-3fa8928f-00f7-40f6-9e88-668e5116a471' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure, altitude at z_hat=0</dd><dt><span>standard_name :</span></dt><dd>surfPressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>[490000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surfTheta</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ff63fd48-b906-4e79-847a-1a3aa9bad780' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff63fd48-b906-4e79-847a-1a3aa9bad780' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51eb1702-df22-438f-8ab5-ab9b5e2fbd8e' class='xr-var-data-in' type='checkbox'><label for='data-51eb1702-df22-438f-8ab5-ab9b5e2fbd8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>theta, altitude at z_hat=0</dd><dt><span>standard_name :</span></dt><dd>surfTheta</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[490000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surfRvap</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da7a76cd-4579-4718-8e9f-0c7adb42576a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da7a76cd-4579-4718-8e9f-0c7adb42576a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35fd264d-3ec6-4c16-985e-728cb4cd5a7e' class='xr-var-data-in' type='checkbox'><label for='data-35fd264d-3ec6-4c16-985e-728cb4cd5a7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>rvap, altitude at z_hat=0</dd><dt><span>standard_name :</span></dt><dd>surfRvap</dd><dt><span>units :</span></dt><dd>kg/kg</dd></dl></div><div class='xr-var-data'><pre>[490000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>altitude</span></div><div class='xr-var-dims'>(z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-997b8735-51fd-471a-acc6-c484c1f8c1d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-997b8735-51fd-471a-acc6-c484c1f8c1d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61923f62-bf6b-47ac-92be-af3a728c12a9' class='xr-var-data-in' type='checkbox'><label for='data-61923f62-bf6b-47ac-92be-af3a728c12a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>altitude level at mesh center</dd><dt><span>standard_name :</span></dt><dd>alt</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[500000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-407ab336-231f-4d13-8475-30452934ef74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-407ab336-231f-4d13-8475-30452934ef74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01172153-e3b3-4969-b836-613a2a2b4d21' class='xr-var-data-in' type='checkbox'><label for='data-01172153-e3b3-4969-b836-613a2a2b4d21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind field u</dd><dt><span>standard_name :</span></dt><dd>u</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-65edfb2f-46a3-4231-a511-cca0c71ae994' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65edfb2f-46a3-4231-a511-cca0c71ae994' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e6b19ff-0e23-4827-9ea5-968d598f8099' class='xr-var-data-in' type='checkbox'><label for='data-3e6b19ff-0e23-4827-9ea5-968d598f8099' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind field v</dd><dt><span>standard_name :</span></dt><dd>v</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>w</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3c0b0a76-0aef-4ac9-8ed6-9948e7b69361' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c0b0a76-0aef-4ac9-8ed6-9948e7b69361' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69656a48-0c76-46de-b62f-4c0ed1a8dbcd' class='xr-var-data-in' type='checkbox'><label for='data-69656a48-0c76-46de-b62f-4c0ed1a8dbcd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind field w</dd><dt><span>standard_name :</span></dt><dd>w</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Temp</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-385fcdb0-8f61-4cd9-a2ce-a0c47101543e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-385fcdb0-8f61-4cd9-a2ce-a0c47101543e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e43b65f-fc0b-42c6-b93a-236a781d029e' class='xr-var-data-in' type='checkbox'><label for='data-3e43b65f-fc0b-42c6-b93a-236a781d029e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Kinetic Temperature</dd><dt><span>standard_name :</span></dt><dd>Temp</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Theta</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1262bba0-fb00-4cbb-9cef-1a1df28de15b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1262bba0-fb00-4cbb-9cef-1a1df28de15b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b17f7eb-599c-4562-885f-c13b752612bc' class='xr-var-data-in' type='checkbox'><label for='data-9b17f7eb-599c-4562-885f-c13b752612bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Potential Temperature</dd><dt><span>standard_name :</span></dt><dd>Theta</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rho</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8c19866b-f079-4230-8949-487de8d748ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c19866b-f079-4230-8949-487de8d748ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7838817f-15a7-44c4-a79e-72873be07281' class='xr-var-data-in' type='checkbox'><label for='data-7838817f-15a7-44c4-a79e-72873be07281' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Dry air density</dd><dt><span>standard_name :</span></dt><dd>Rho</dd><dt><span>units :</span></dt><dd>kg/m3</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tke</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b9fe036e-2808-4fa4-8008-b454e5f5ad3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9fe036e-2808-4fa4-8008-b454e5f5ad3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04b7b172-45f1-474f-ae5a-68fc5fee1e03' class='xr-var-data-in' type='checkbox'><label for='data-04b7b172-45f1-474f-ae5a-68fc5fee1e03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Turbulent Kinetic Enery</dd><dt><span>standard_name :</span></dt><dd>tke</dd><dt><span>units :</span></dt><dd>m2/s2</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rvap</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-920260d3-316d-45ee-af6a-dc654da2e8d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-920260d3-316d-45ee-af6a-dc654da2e8d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90964ffa-532f-4480-8b3c-68b9350ab457' class='xr-var-data-in' type='checkbox'><label for='data-90964ffa-532f-4480-8b3c-68b9350ab457' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vapor Mixing ratio</dd><dt><span>standard_name :</span></dt><dd>rvap</dd><dt><span>units :</span></dt><dd>kg/kg</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rcloud</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7ad32274-833a-4004-8b08-be410293985c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ad32274-833a-4004-8b08-be410293985c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b540dfdd-1c6d-4f92-882c-e2b991145188' class='xr-var-data-in' type='checkbox'><label for='data-b540dfdd-1c6d-4f92-882c-e2b991145188' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cloud Mixing ratio</dd><dt><span>standard_name :</span></dt><dd>rcloud</dd><dt><span>units :</span></dt><dd>kg/kg</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrain</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c988f19c-465b-4d49-bf23-f919c813fe75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c988f19c-465b-4d49-bf23-f919c813fe75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a11a3aa-c32b-4fc2-b6a0-4d71a11c3442' class='xr-var-data-in' type='checkbox'><label for='data-3a11a3aa-c32b-4fc2-b6a0-4d71a11c3442' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Rain Mixing ratio</dd><dt><span>standard_name :</span></dt><dd>rrain</dd><dt><span>units :</span></dt><dd>kg/kg</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rice</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c3b5aab8-129f-4fb8-8431-514956fc41c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3b5aab8-129f-4fb8-8431-514956fc41c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f25a8d44-886a-4f4c-8959-5701f4188579' class='xr-var-data-in' type='checkbox'><label for='data-f25a8d44-886a-4f4c-8959-5701f4188579' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ice Mixing ratio</dd><dt><span>standard_name :</span></dt><dd>rice</dd><dt><span>units :</span></dt><dd>kg/kg</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RH</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3aa217af-1a2b-41ce-a846-97701ed4a85a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3aa217af-1a2b-41ce-a846-97701ed4a85a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3f019a7-960e-4f7e-912f-35ed69d2fb5c' class='xr-var-data-in' type='checkbox'><label for='data-c3f019a7-960e-4f7e-912f-35ed69d2fb5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Relative Humidity</dd><dt><span>standard_name :</span></dt><dd>RH</dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hbltop</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fae26811-65ee-4bdd-b379-f3c6aff50490' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fae26811-65ee-4bdd-b379-f3c6aff50490' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a32cd2b3-7df6-4aee-a3b4-e7f8877d16a4' class='xr-var-data-in' type='checkbox'><label for='data-a32cd2b3-7df6-4aee-a3b4-e7f8877d16a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>hbltop</dd><dt><span>standard_name :</span></dt><dd>hbltop</dd><dt><span>units :</span></dt><dd>-</dd></dl></div><div class='xr-var-data'><pre>[490000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>um10</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-56a2ffc0-fed4-4735-a086-3f48d313828e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56a2ffc0-fed4-4735-a086-3f48d313828e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09ab0ab5-9c6e-43a3-8c25-bf9fc7a8c233' class='xr-var-data-in' type='checkbox'><label for='data-09ab0ab5-9c6e-43a3-8c25-bf9fc7a8c233' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>um10</dd><dt><span>standard_name :</span></dt><dd>um10</dd><dt><span>units :</span></dt><dd>-</dd></dl></div><div class='xr-var-data'><pre>[490000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vm10</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d9d1acd2-24eb-4e70-963b-9105784731ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9d1acd2-24eb-4e70-963b-9105784731ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9434bd37-e874-4fc7-bd38-6e08d33bc2a4' class='xr-var-data-in' type='checkbox'><label for='data-9434bd37-e874-4fc7-bd38-6e08d33bc2a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vm10</dd><dt><span>standard_name :</span></dt><dd>vm10</dd><dt><span>units :</span></dt><dd>-</dd></dl></div><div class='xr-var-data'><pre>[490000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gust10</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-de7702da-4302-49fe-9c0a-5a19ad1a4703' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de7702da-4302-49fe-9c0a-5a19ad1a4703' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6aaffdf-e1a1-4d34-bb2a-06ba032d76dd' class='xr-var-data-in' type='checkbox'><label for='data-b6aaffdf-e1a1-4d34-bb2a-06ba032d76dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>gust10</dd><dt><span>standard_name :</span></dt><dd>gust10</dd><dt><span>units :</span></dt><dd>-</dd></dl></div><div class='xr-var-data'><pre>[490000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lambda2</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-50d97f29-5177-43f6-ba76-0e907ebc48be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50d97f29-5177-43f6-ba76-0e907ebc48be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0661341d-cb2c-4225-928d-c4ef7600f625' class='xr-var-data-in' type='checkbox'><label for='data-0661341d-cb2c-4225-928d-c4ef7600f625' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>lambda2</dd><dt><span>standard_name :</span></dt><dd>lambda2</dd><dt><span>units :</span></dt><dd>-</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>acprecip</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1c8388cf-63b0-441a-9800-6e78927c5f7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c8388cf-63b0-441a-9800-6e78927c5f7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08c226c9-e2ab-43ba-a5c7-7c3f0c18d4c7' class='xr-var-data-in' type='checkbox'><label for='data-08c226c9-e2ab-43ba-a5c7-7c3f0c18d4c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>acprecip</dd><dt><span>standard_name :</span></dt><dd>acprecip</dd><dt><span>units :</span></dt><dd>-</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cloudfrac</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ee60b9b-ed25-42bf-b162-71277fa5e1ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ee60b9b-ed25-42bf-b162-71277fa5e1ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec3d315c-ff93-4521-be31-f9589e3d830c' class='xr-var-data-in' type='checkbox'><label for='data-ec3d315c-ff93-4521-be31-f9589e3d830c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cloudfrac</dd><dt><span>standard_name :</span></dt><dd>cloudfrac</dd><dt><span>units :</span></dt><dd>-</dd></dl></div><div class='xr-var-data'><pre>[24500000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e0d74c1b-85ea-4f05-a0ea-8519b1f5af4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0d74c1b-85ea-4f05-a0ea-8519b1f5af4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0f1c877-1f1d-454e-b10b-6caec1de939c' class='xr-var-data-in' type='checkbox'><label for='data-f0f1c877-1f1d-454e-b10b-6caec1de939c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>t2m</dd><dt><span>standard_name :</span></dt><dd>t2m</dd><dt><span>units :</span></dt><dd>-</dd></dl></div><div class='xr-var-data'><pre>[490000 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1ccd4232-3100-43e4-aee6-b8eccf3b44aa' class='xr-section-summary-in' type='checkbox'  ><label for='section-1ccd4232-3100-43e4-aee6-b8eccf3b44aa' class='xr-section-summary' >Indexes: <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-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7b7e4c2c-6666-4ee7-8818-e7de9b65c2fa' class='xr-index-data-in' type='checkbox'/><label for='index-7b7e4c2c-6666-4ee7-8818-e7de9b65c2fa' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  2000.0,   4000.0,   6000.0,   8000.0,  10000.0,  12000.0,  14000.0,\n",
       "        16000.0,  18000.0,  20000.0,  22000.0,  24000.0,  26000.0,  28000.0,\n",
       "        30000.0,  32000.0,  34000.0,  36000.0,  38000.0,  40000.0,  42000.0,\n",
       "        44000.0,  46000.0,  48000.0,  50000.0,  52000.0,  54000.0,  56000.0,\n",
       "        58000.0,  60000.0,  62000.0,  64000.0,  66000.0,  68000.0,  70000.0,\n",
       "        72000.0,  74000.0,  76000.0,  78000.0,  80000.0,  82000.0,  84000.0,\n",
       "        86000.0,  88000.0,  90000.0,  92000.0,  94000.0,  96000.0,  98000.0,\n",
       "       100000.0, 102000.0, 104000.0, 106000.0, 108000.0, 110000.0, 112000.0,\n",
       "       114000.0, 116000.0, 118000.0, 120000.0, 122000.0, 124000.0, 126000.0,\n",
       "       128000.0, 130000.0, 132000.0, 134000.0, 136000.0, 138000.0, 140000.0,\n",
       "       142000.0, 144000.0, 146000.0, 148000.0, 150000.0, 152000.0, 154000.0,\n",
       "       156000.0, 158000.0, 160000.0, 162000.0, 164000.0, 166000.0, 168000.0,\n",
       "       170000.0, 172000.0, 174000.0, 176000.0, 178000.0, 180000.0, 182000.0,\n",
       "       184000.0, 186000.0, 188000.0, 190000.0, 192000.0, 194000.0, 196000.0,\n",
       "       198000.0, 200000.0],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3831c2c9-d458-4852-b2e6-97f9a32f0ed9' class='xr-index-data-in' type='checkbox'/><label for='index-3831c2c9-d458-4852-b2e6-97f9a32f0ed9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  2000.0,   4000.0,   6000.0,   8000.0,  10000.0,  12000.0,  14000.0,\n",
       "        16000.0,  18000.0,  20000.0,  22000.0,  24000.0,  26000.0,  28000.0,\n",
       "        30000.0,  32000.0,  34000.0,  36000.0,  38000.0,  40000.0,  42000.0,\n",
       "        44000.0,  46000.0,  48000.0,  50000.0,  52000.0,  54000.0,  56000.0,\n",
       "        58000.0,  60000.0,  62000.0,  64000.0,  66000.0,  68000.0,  70000.0,\n",
       "        72000.0,  74000.0,  76000.0,  78000.0,  80000.0,  82000.0,  84000.0,\n",
       "        86000.0,  88000.0,  90000.0,  92000.0,  94000.0,  96000.0,  98000.0,\n",
       "       100000.0, 102000.0, 104000.0, 106000.0, 108000.0, 110000.0, 112000.0,\n",
       "       114000.0, 116000.0, 118000.0, 120000.0, 122000.0, 124000.0, 126000.0,\n",
       "       128000.0, 130000.0, 132000.0, 134000.0, 136000.0, 138000.0, 140000.0,\n",
       "       142000.0, 144000.0, 146000.0, 148000.0, 150000.0, 152000.0, 154000.0,\n",
       "       156000.0, 158000.0, 160000.0, 162000.0, 164000.0, 166000.0, 168000.0,\n",
       "       170000.0, 172000.0, 174000.0, 176000.0, 178000.0, 180000.0, 182000.0,\n",
       "       184000.0, 186000.0, 188000.0, 190000.0, 192000.0, 194000.0, 196000.0,\n",
       "       198000.0, 200000.0],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-481023f2-bbf6-4815-8478-773d1548823c' class='xr-index-data-in' type='checkbox'/><label for='index-481023f2-bbf6-4815-8478-773d1548823c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([              15.0,               46.5,   81.1500015258789,\n",
       "       119.26499938964844, 161.19149780273438, 207.31065368652344,\n",
       "        258.0417175292969, 313.84588623046875,       375.23046875,\n",
       "        442.7535095214844,  517.0288696289062,  598.7317504882812,\n",
       "        688.6049194335938,  787.4654541015625,  896.2119750976562,\n",
       "       1015.8331909179688,   1147.41650390625, 1292.1580810546875,\n",
       "       1451.3739013671875, 1626.5113525390625, 1819.1624755859375,\n",
       "       2031.0787353515625,       2260.5234375,  2505.341064453125,\n",
       "        2766.561279296875,  3045.283447265625,  3342.679931640625,\n",
       "           3660.001953125,   3998.58447265625,   4359.85205078125,\n",
       "         4745.32470703125,    5156.6240234375,      5595.48046875,\n",
       "         6063.73974609375,     6563.373046875,    7096.4814453125,\n",
       "         7665.30810546875,      8272.24609375,     8919.849609375,\n",
       "           9610.841796875,    10348.130859375,   11134.8173828125,\n",
       "          11974.212890625,   12857.5146484375,   13757.5146484375,\n",
       "         14657.5146484375,   15557.5146484375,       16457.515625,\n",
       "             17357.515625,       18257.515625],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;z&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5453ac0e-9528-494e-b45c-1f9613a3f270' class='xr-index-data-in' type='checkbox'/><label for='index-5453ac0e-9528-494e-b45c-1f9613a3f270' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-07-16 00:00:00&#x27;, &#x27;2022-07-16 01:00:00&#x27;,\n",
       "               &#x27;2022-07-16 02:00:00&#x27;, &#x27;2022-07-16 03:00:00&#x27;,\n",
       "               &#x27;2022-07-16 04:00:00&#x27;, &#x27;2022-07-16 05:00:00&#x27;,\n",
       "               &#x27;2022-07-16 06:00:00&#x27;, &#x27;2022-07-16 07:00:00&#x27;,\n",
       "               &#x27;2022-07-16 08:00:00&#x27;, &#x27;2022-07-16 09:00:00&#x27;,\n",
       "               &#x27;2022-07-16 10:00:00&#x27;, &#x27;2022-07-16 11:00:00&#x27;,\n",
       "               &#x27;2022-07-16 12:00:00&#x27;, &#x27;2022-07-16 13:00:00&#x27;,\n",
       "               &#x27;2022-07-16 14:00:00&#x27;, &#x27;2022-07-16 15:00:00&#x27;,\n",
       "               &#x27;2022-07-16 16:00:00&#x27;, &#x27;2022-07-16 17:00:00&#x27;,\n",
       "               &#x27;2022-07-16 18:00:00&#x27;, &#x27;2022-07-16 19:00:00&#x27;,\n",
       "               &#x27;2022-07-16 20:00:00&#x27;, &#x27;2022-07-16 21:00:00&#x27;,\n",
       "               &#x27;2022-07-16 22:00:00&#x27;, &#x27;2022-07-16 23:00:00&#x27;,\n",
       "               &#x27;2022-07-17 00:00:00&#x27;, &#x27;2022-07-17 01:00:00&#x27;,\n",
       "               &#x27;2022-07-17 02:00:00&#x27;, &#x27;2022-07-17 03:00:00&#x27;,\n",
       "               &#x27;2022-07-17 04:00:00&#x27;, &#x27;2022-07-17 05:00:00&#x27;,\n",
       "               &#x27;2022-07-17 06:00:00&#x27;, &#x27;2022-07-17 07:00:00&#x27;,\n",
       "               &#x27;2022-07-17 08:00:00&#x27;, &#x27;2022-07-17 09:00:00&#x27;,\n",
       "               &#x27;2022-07-17 10:00:00&#x27;, &#x27;2022-07-17 11:00:00&#x27;,\n",
       "               &#x27;2022-07-17 12:00:00&#x27;, &#x27;2022-07-17 13:00:00&#x27;,\n",
       "               &#x27;2022-07-17 14:00:00&#x27;, &#x27;2022-07-17 15:00:00&#x27;,\n",
       "               &#x27;2022-07-17 16:00:00&#x27;, &#x27;2022-07-17 17:00:00&#x27;,\n",
       "               &#x27;2022-07-17 18:00:00&#x27;, &#x27;2022-07-17 19:00:00&#x27;,\n",
       "               &#x27;2022-07-17 20:00:00&#x27;, &#x27;2022-07-17 21:00:00&#x27;,\n",
       "               &#x27;2022-07-17 22:00:00&#x27;, &#x27;2022-07-17 23:00:00&#x27;,\n",
       "               &#x27;2022-07-18 00:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ffa661a-69bc-45d1-9504-5117d172d83f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ffa661a-69bc-45d1-9504-5117d172d83f' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>MNH Output for simulation FCAST and model1</dd><dt><span>created :</span></dt><dd>R. Paugam</dd><dt><span>company :</span></dt><dd>DoWeNeedOne</dd><dt><span>title :</span></dt><dd>MNH Output</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 3GB\n",
       "Dimensions:       (x: 100, y: 100, z: 50, time: 49)\n",
       "Coordinates:\n",
       "  * x             (x) float32 400B 2e+03 4e+03 6e+03 ... 1.96e+05 1.98e+05 2e+05\n",
       "  * y             (y) float32 400B 2e+03 4e+03 6e+03 ... 1.96e+05 1.98e+05 2e+05\n",
       "  * z             (z) float32 200B 15.0 46.5 81.15 ... 1.736e+04 1.826e+04\n",
       "  * time          (time) datetime64[ns] 392B 2022-07-16 ... 2022-07-18\n",
       "Data variables: (12/31)\n",
       "    lat           (y, x) float64 80kB ...\n",
       "    lon           (y, x) float64 80kB ...\n",
       "    dx            (z, y, x) float64 4MB ...\n",
       "    dy            (z, y, x) float64 4MB ...\n",
       "    dz            (z, y, x) float64 4MB ...\n",
       "    topography    (y, x) float64 80kB ...\n",
       "    ...            ...\n",
       "    vm10          (time, y, x) float64 4MB ...\n",
       "    gust10        (time, y, x) float64 4MB ...\n",
       "    lambda2       (time, z, y, x) float64 196MB ...\n",
       "    acprecip      (time, z, y, x) float64 196MB ...\n",
       "    cloudfrac     (time, z, y, x) float64 196MB ...\n",
       "    t2m           (time, y, x) float64 4MB ...\n",
       "Attributes:\n",
       "    description:  MNH Output for simulation FCAST and model1\n",
       "    created:      R. Paugam\n",
       "    company:      DoWeNeedOne\n",
       "    title:        MNH Output"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "eca483b8-cdd7-4141-b209-47beb3dde62b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f09682a6850>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RlJRkafPnP/95eFxHjBiB77//HtOmTcOHH36IDz/8MFwvNzcXP/nJT6L2PzExEXPmzMGECRMwZswYFBQU4IMPPsBzzz2HX//618jKyrKs8/zzz8Pj8eCyyy5r+kD9l2effRZbt25FTU0NAOD999/Hgw8+CAC49tpr0bVrVwAHLU/+9Kc/YcKECfjmm2/QpUuX8Lr/93//F/N2AeDzzz/Hq6++CgDYtGkTysvLw9seMGAALr74YgBAp06dMHnyZMyfPx+BQACnn346li9fjg8++ADPP/+8CKm+8soruOGGGywh2vnz5+NnP/sZLrzwQlxxxRVYv349Fi9ejF/+8pfixYhf/OIXOPPMM3HDDTfgq6++Qvv27fH73/8ewWAQDzzwgOj/9OnT8cwzz2Dz5s3hN5xj6WtTzz9FUaLQ0rNCRWkqc+bMMTt27Gg6HI4mmcce6ZOyQzzxxBPm4MGDzcTERDM1NdXs16+fOW3aNHPXrl1x37fDcd555zVqnHvow6xfv9688MILzaSkJDMjI8O8+uqrzZKSElFn7NixUduMfCIWrd55553X5P144oknzN69e5tut9vs2bOnuWDBAothr2maZnl5uen1es1LL720yW1HEm28+AnX7t27zbFjx5pZWVmmx+MxhwwZYq5YseKwbds9KTt03jX2iTw/TfOgOfFvfvMbs2vXrqbb7Tb79u1rPvfcc4dt8+mnn7Yse+WVV8yBAweaHo/H7NSpk3nfffc1mm7swIED5rhx48x27dqZSUlJ5nnnnWe5Nkyz4bzgJ6JN7atpNu38UxTl8BimeQRGSYqiKIqiKEpcUUd/RVEURVGUVoBOyhRFURRFUVoBOilTFEVRFEVpBeikTFEURVEUpRWgkzJFURRFUZRWQItOyubOnYvTTz8dqampyMnJwejRo7Fx40ZRp66uDhMmTEC7du2QkpKCyy67DLt37xZ1tm3bhlGjRiEpKQk5OTm46667UF9fL+q8++67GDRoEDweD0444QRL4l0AWLJkCbp16wav14shQ4bg448/jrkviqIoiqIoR0KLWmKMGDECV1xxBU4//XTU19fj3nvvxfr16/HVV1+FzStvvfVWvP7661i2bBnS09MxceJEOBwO/Pvf/wYABINBDBw4EHl5eZg/fz6Ki4tx3XXX4aabbsJvfvMbAMDmzZtxyimn4JZbbsEvf/lLrFy5EpMnT8brr7+OgoICAAdT41x33XVYunQphgwZgkcffRQvv/wyNm7cGM6HZ9cXO0KhEHbt2oXU1NRjmjZIURRFOf4wTROVlZXIz88XabKONTt27EBWVhaSkpJarA9thhZ1SSP27NljAjDfe+890zQPphhxuVwiRciGDRtMAGZRUZFpmqb5xhtvmA6HQxgUPv7442ZaWprp8/lM0zTNadOmmX379hXbuvzyy82CgoJw+YwzzhCpRILBoJmfn2/OnTu3yX2xY/v27VHNOPWjH/3oRz/64c/27dub9BtzNNi6davpAMxTkNpifWhLtKo0S+Xl5QAQTr2ydu1aBAIBDB8+PFznpJNOQpcuXVBUVIQzzzwTRUVF6NevH3Jzc8N1CgoKcOutt+LLL7/EqaeeiqKiItHGoTqTJ08GAPj9fqxduxbTp08PL3c4HBg+fDiKioqa3BfG5/PB5/OFy+Z/H0pu+mYjUlNTAQBGSIZZTUcClZ2ibISClu3ICvKvKW7fqPdHbd90ukQ5ZND2Ix7wOYIBuW0zRGVTrsv1g7Iv4H1P8CAaRr1PfsH7aukPlRnqL48FnG5EhdunY2F7LHk8GIfN5Urb52NvqW5E/8s78nhxX0Nu+RczHyu789Qytvzk2DJ2ct9DkPVDNg/860NyORUR5OW8flAuD9D2HEb0/gTtthe9+7bw7gdNbj96fwPUQXdCw3JuO8Eh16UinNQ2P+DhGIGlPi3nqAJvj7EcW5tzw2578cau/86I5ZWVlTi1b+/w70VLcGHXPsiBBxtQha1bt4ZTlSlHh1YzKQuFQpg8eTLOPvtsnHLKKQCAkpISuN1uZGRkiLq5ubkoKSkJ14mckB1afmhZtDoVFRWora1FaWkpgsFgo3W+/vrrJveFmTt3riW/HACkpqYiLS0NQEtMyuRExrK9ozopo0kHTRDh5EmZF9Ew6uvkF8GjPClLaO6kTO6fZdLE48E4Y5yUBeM5KZNthTwy5ygfK9sJIU9wj/GkzHaSxOvzpCzUvEmZ3SQxVlrzpMxpNynj9mh5W56UHaKl5C4bN27EJlRjDPKxBuUo6NYXX5tVLdKXtkKreftywoQJWL9+PV588cWW7krcmD59OsrLy8Of7du3t3SXFEVRFKVJXHTSIJyIFKTDhdOQjk2oDj+oUI4OreJJ2cSJE/Haa6/h/fffR6dOncLf5+Xlwe/3o6ysTDyh2r17N/Ly8sJ1+C3JQ29ERtbhtyR3796NtLQ0JCYmwul0wul0Nlonsg27vjAejwceT/QQHD8xCPBfefXyb/bEkHzSxU+D+OmHwyf/qnGW75L16QnHzrQTRLk+JJ+GZXganpwlG/xkRtblvhj+GtmXyj2yPj0NCWZ2EmW/Wz7Cd/OTMnqSVOZME2X+CzXJRWNF/eMncdx/fupoeRIYkuMT8qREb79ejl8wLUeU94L2n/6kTnXRE4W6ctkffnLGT944PBqxfw46VghmiGKgfU9Eo6RK7ts3u2tFuX2SvA5Cpuxrpb+Olsv2+VhmeOVTTn4yta9GHqsqv3wCzU+S0j30pI6evmQlye3trpLt85O4moDcHu8/402Q++el/eWnU6U1crx3V8v+cHt7quS5nJPScN8KBOV53CFV3tNcFJ9Mcsmn6x7qG5+3Lrow7Z7E2T0zKvfJsd1cVneYmgdJdctjm+yW/U9MkFvkseP+8pOu5jwE5aeIx5JPP/0U21CLK5APAEiHC72RglEnD8Z3ZnWL9euHTos+KTNNExMnTsQrr7yCd955B927dxfLBw8eDJfLhZUrV4a/27hxI7Zt24ahQ4cCAIYOHYovvvgCe/Y0/GgUFhYiLS0Nffr0CdeJbONQnUNtuN1uDB48WNQJhUJYuXJluE5T+qIoiqIoPwRGDz4bfZCK5IhnN4OQjm2oxdq1a1uwZz9sWvRJ2YQJE/DCCy/gH//4B1JTU8ParPT0dCQmJiI9PR3jxo3D1KlTkZWVhbS0NEyaNAlDhw4NC+svvPBC9OnTB9deey3mzZuHkpIS3HfffZgwYUL4KdUtt9yCxYsXY9q0abjxxhvxzjvv4K9//Stef/31cF+mTp2KsWPH4rTTTsMZZ5yBRx99FNXV1bjhhhvCfbLri6IoiqIc73zwwQcogQ/D0F58n4wE9EUqRp92DrabtYdZW2kOLTope/zxxwEA559/vvj+6aefxvXXXw8AWLBgARwOBy677DL4fD4UFBTg97//fbiu0+nEa6+9hltvvRVDhw5FcnIyxo4di9mzZ4frdO/eHa+//jqmTJmChQsXolOnTvjTn/4U9igDgMsvvxx79+7FjBkzUFJSgoEDB2LFihVC/G/XF0VRFEU5njFNE/9z7k/QH2lIhNOyfCDS8BfsxHvvvYfzzjuvBXr4w6ZFzWPbGhUVFUhPT8eeXTvCb19Wh6wnfSQ+eisqyym1Io66ClGelHOuKC/e/rooY/9OUQxVlcnFfUeJ8tZyqTU5uX1i+P/eoPxLyVErNUymS2pPHD7SIezZjGgY6VJTxe0ZfvpLzeZtwmBGvmyPbRxsLDvYTgT0Jizr91Arjw3XD+6Xb+0Gy/eLsvuE/nJ5Xm9RrnJKjRprddx1pdQ/Of6saQu5pM2F0Mjto5dUSC9nZMhjBXprOJjcTpS/qJV9L/fJsc9OlhqrSp/UmLHmi3U+rMVJpOX8Rh7fBfdWy/6ke+Xfr6zh8pDuqLxOHus91fI62kear8xEetOX4P3z8CuNBOu6Suvk9nj9aMtZP8dtu+i84+Vu2pZVQyaKtm9j8nLWdPnpnsl6xiq/PJe4/6mkH+Rzx8vXmTN6f7i//JPLb+ZGyg8rKyrQs3MHlJeXh38zjjZvvPEGLht1Ma5ER7gPo3BaizJsRx2KQ7VqhB5nWs3bl4qiKIqitByhUAjXjRqNU5F+2AkZAPRDGsoRwBtvvHEMe9c20EmZoiiKoij429/+hjqE0AcpUeu54cCpSMfYn/4coZCN/6MSE63CEqMtUxWQJ/Rv2p0iyrPKvpQr2BmgEhyyCpHtAoehODxaSo/y7045Ofz/hRXrxDKrGSo91raxjODwnsUygtYPle0VZZPDiYnS4DSB+ldPlhvBxAy5PocznZRBgPpjUn8d7kRRDu7dIcqhahneNKkcLJU2FAnUXmpSplyfltuFK1FdJopON+1fZF/IksISvqyWoVIjUdp3OKtlaDY9KV2Ud1bK9jun0d+LdB4mkyUEW2SU1spjzZYUyRRic5KKoEOqDJ9yODKB7EfYcoNDYmw2yyE0tlFIpP756uX2U9zRb93lFO7l9V0UUmSLjsjx4vAb74udOSuv77IxtbALV9pFyziy66bQsiMQvYE6uic7qL8Wiw7Dpn80Xpb9sYTSzUb/f7Spr6/H+MuvxmCkI6EJz2v6IBWfowJ//etfccUVVxyDHrYN9EmZoiiKorRxhrtyYQI40eYp2SESYGAw0nHzldciEAjYr6A0CZ2UKYqiKEobpq6uDmtQjtORAaetPW8DvZECA8Bwd+MG6tF4//33cfHFFyM/Px+GYWD58uViuWmamDFjBjp06IDExEQMHz4c3377rW27S5YsQbdu3eD1ejFkyBCLuXxrRydliqIoitKG+XFiPjxwoCeS7CtH4ICB05CBtShHXV30zAlMdXU1BgwYgCVLljS6fN68eVi0aBGWLl2K1atXIzk5GQUFBVG389JLL2Hq1KmYOXMmPv30UwwYMAAFBQXCXL61o5YYx5DGLDG2y8w9ltetHySN2aKyNaJ8e8Zporx4V6EoW2wq6si2IZl1SfKiDKbJv4CMQIMNhUGaJYdfts0ppBx1laIcqjwg2yZhj5klNV+8fnC/TBnFmKSfc6ZmyO3n9hLlfS5p28Cpe7wmWWT4af+pf0ZA3jyC2zbI/gWiW2xwAnRnZrbcXmqWXJ00ZZw2iY8XSAdmIWL7wf3F1DZpsmhsWVPGKbS2psqx/3a/tDfpmSX3hdMgtU+kfSMhTxVppEoq5VhzWiNL0mx6WMC6ojpKPcQWGXxXPVArz8VPi+V1mZUo+8OatPI6qRGL1ZaijtK1scVGFWnQUiI0fGw/Yge3zSmqrJYZ0ROY89jaWVDwT9q+Wnku7Cc7Et6end2K1Z6E++egcvQ0TIw/QoNWWVGBE7vkH1VLjMrKSuSkZeB8tEPXGCdlAGDCxP9DMU5EClaZB+xXaATDMPDKK69g9OjRB9s0TeTn5+POO+/E//7v/wIAysvLkZubi2XLlh1WwzZkyBCcfvrpWLx4MYCDb5N27twZkyZNwj333HNEfTvW6JMyRVEURWmj/DitM9LhQhck2lduBAMGzkAmPkM5Kisr7VdoAps3b0ZJSQmGDx8e/i49PR1DhgxBUVFRo+v4/X6sXbtWrONwODB8+PDDrtMa0UmZoiiKorRBfD4fPkcFTkcGjBi0ZExneJEOF37/+9+joqJCfHy+w7/VfTgOpVyMzKhzqHxoGbNv3z4Eg8GY1mmN6KRMURRFUdogPp8PfphoD7d95SgYMNAebrz66qtIT08Xn7lz58apt20D9SlrYax6iuh/rbCGjL3CJqYNjLr+7799UZTrU6VOiVMXOcukt1akF5kRoL+A2EPNQa9J11N99rpKyZCLXfJxukkaLUeq1MOxrxf7fple6VsG8iEL0dXAx8agVECWtEs2HnIO3j9KcWUGSVNG7XN9bo81ZBZNX0jqmEK0PZO8yIyEiP2lY2UGeOxIX0eaMyRKPQzrgFhDxmPPGjJOTVNNmjOG0xjtprRHWbScdUWsA2KdE5NAu5+TItvvki73d3+NPNYd06S2hzVlO8vpOrVJ7cO+Z+xzxqmUIgmQfo59yjhtEo8V+5iFwNuKPpbcN+qO9dg4omvQuD27tw0DQfYZozKfK47oaZTs9jeye8dK8e2EvdbNDocJnHnmmXjzzTfF9x6P5zBrHJ68vINa5t27d6NDhw7h73fv3o2BAwc2uk779u3hdDqxe/du8f3u3bvD7R0P6JMyRVEURWnDOA2j2R8DgNPpRFpamvgcyaSse/fuyMvLw8qVK8PfVVRUYPXq1Rg6dGij67jdbgwePFisEwqFsHLlysOu0xrRJ2WKoiiKohxTqqqqsGnTpnB58+bNWLduHbKystClSxdMnjwZDz74IHr16oXu3bvj/vvvR35+fvgNTQC44IIL8POf/xwTJ04EAEydOhVjx47FaaedhjPOOAOPPvooqqurccMNNxzr3TtidFLWwnC6GH6CPKf8K1FOpJQhzfVRvr3dWaK86MBHouwop7dpasrC/72t7/Vi0ZIvnoy6LQ6XWZYnytQ7lnAgPcs3XPIvMCNBhojgofAnhQM5bRO/Gm+B+hNpDwJYw5kGhWsNso2oL95MzVN6F68MYXHIkMOvMOQOmE45HmxLAbIMYQsRR3JDyNHhkPYbBo2tQXYcJh2b4uTuoswhn0yv7DuHyDiMY1CZj52vnkJm1ABbYnCaIbY94GilPxA9rRJfyd4EDtfKY1tSJc8VtgDpku4VZbaVCNC5wyG3ijo6trRDdZyGKYqMgscqhSwvLGmZghx+lOWAET3cx+cKd81Sn/rL91hLCqwgH8vo2+dzkcOz9azioP5YOkhEDg+nDztaOI3mhy9jdE7BmjVrMGzYsHB56tSpAICxY8di2bJlmDZtGqqrqzF+/HiUlZXhnHPOwYoVK+D1NlwL3333Hfbt2xcuX3755di7dy9mzJiBkpISDBw4ECtWrLCI/1szOilTFEVRlDbMoRBkc4j17c3zzz8/am5PwzAwe/ZszJ49+7B1tmzZYvlu4sSJ4SdnxyOqKVMURVEURWkF6JMyRVEURWnDxCN8aWMcoDQRnZS1AHfnD4X7vw8pH6raELVurZ/TuURv+3fVsj1PhUxFZFIqoCVb/iHKQdIdTeg+WpQf++jR8P8XrXpYtk2aJwdpqOCPnhstRBYOFg1ZMLoFhUE2DKaDNFZs+cAaLItuibbPlhycwoo0WSGf1JyxhcXkUQ+J8rynrhPlhJQUUfYOOl+2Txo81pAZFosSGp96tiwhjVltg82F0V6mvDIpBZRJY7nNnS/7QuIYvoFXs0aLKljTHkm8JCrzk36R0yRxe8luShtFFepZBxVi+5PoGrRgSH6R4pb1O6ZJzVhxpdSYsaaMdVFOGn+SUVltIGxsJMoj0i6xZopJilH4xJYWQQfrB8nCgjRnCZZ9I40Y9YctMfJS5Lm7pYzuSxbpq+ywi7bHxzZIYxsgCxBOCdYaJjOOuIQvlXigkzJFURRFacPERegfn660eVRTpiiKoiiK0grQJ2WKoiiK0oY5+KSsmeFLfVQWF3RS1gI8tPPfSEs76AEVXWVl1bLUymwrFr0E+w8xrBH7/aa/ijJrg37/3d9EObClwTftjgtmRG2LNU+GhzRh5TItkqOO0iKxbok1Z06pA5p42hWivLBwplyf0zqRfo61KJEppQBgUs65orzow3mIhkH9v23g+Kj1HZT6xqLJI0xOQ+WW3leGv4ZWoP1jXzfuT3q78P+DdCx9KdL3Z1uF1KM5bVLxsE7JLtUNy5o41MLXQQqJqtg7ilP92HlR8XXIPmFWDZmsX0e6pBTSO+Yky3Pl462losy+aZz6qJq8w5Kpf36q7zDkcu5vlb/+sMvc3Bc6by0+ZHTd+SyaLdkX9glLsGiwbHzLLPaGsj/tKGWXAanX21Yu9Xx19Tx2tEH6FWWtqjWwRxq1KKKyaJYR8cSB5ofNdE4WH3RSpiiKoihtmHj4lPHLNMqRoZoyRVEURVGUVoA+KWth+FE/h0n8QX4dXP41Yvfqu5kg090s3lUol/uqRdnOdiIyZLl43RNiWX26tEGAS4YFbs84DdHg8OeEbpdEXW5ChnwWr1ki+7N3p9wAW0J4kkU5SGPNaZKY28+ZFnX5gv+7K+ryXz82RpRDfhkudXU5UZRNSmXEaZY49Mxpl/jY1leWye3ldxPlQO5J4f/vDchbxe79cmzSPHJsOTzIoWH+q5oiYJbznCM8HL5kmwFLWiRLqh+5nINEnLqH27OGUyk8Sy3WBeQGEykE2DlNXqen5KeJ8jd7qkS5U6Y8F/wUYuP7Ci+vpTRObIkRWea2GA5F8z3IksaI71kObp/7QkttzgVL/ywpu2S5Q5LcgNspx3bTAWltw2mm7DBN2T6bqTCRY29XN160RJolpXF0UqYoiqIobRj1KWs9aPhSURRFURSlFaBPyhRFURSlDaPhy9aDTspaGNauVJH2xJMQXVvDWho7jPq6qGVHjXwVP1RxQJQf/ef9DXVTs8Qytk1gPRqz5Mtlcluk8WLYYgNkWRGqk/o4k8oJHbrL+mQp8VBWP1FedOAjUf79ty+Kcv3ubbK98v2i7N9dLMoLXrlD9o/SUhmJcv/NtGxZ9qSKMmvKLGmVGJvlFsuQCA1aqU+eZ4kkDLLofigVjV1aH7a08NJ5z2e5nVEAa7bqKe1SrY3GjfeHU+uwRo21oHbUksaL939wB6kp214mdU1ltfLYp3jkrXxnqayfSGmkymsoxRYReXz4WDGsGeN7GsOaM9ak8S2NLSPswmyWc81utkHay/ZOOXbO9vI+sXFfdI0Zj4c3gco2ASpvxP4dG0MMffuyNaGTMkVRFEVpw2iapdaDasoURVEURVFaAfqkTFEURVHaMPEIX6qmLD7opKyFqSENWW2AUoKQh47XGV2rY4G8wsw62d6EXjI1EfP7jc/L5lzdwv8PJmWKZUGHTNvjDEovK27LkiaINFOLSj+Wy8lTbVLHgsP0+iDsE+bI7Sb7S2mb5pR/JcqGb59skH3AyPds8qiHovaHefTNe0XZ1e1kUQ65ZNok00npYUgjZkmrFJJaFx5v9iUz60lnFEWDxjqgOkr/xTog00Yn5CENmIt9weiOz9eNHay9rCerKZJcWUIxVm+s6Bcea8ScFi8uCWvUMryyQ6N654jyC59JD75u7eS5kuKV54qdL9meSt9hl7tJYMeeZ7ytkCnLvC1OU8RjaVe209Xaedrx/hghOu+d8j6WSfexE7JIY7ZfXnecVirgJw85k042OvncEecK6++OFhq+bD3opExRFEVR2jCOOEzKbN4HUZqIasoURVEURVFaAS36pOz999/H/PnzsXbtWhQXF+OVV17B6NGjw8sPZ/cwb9483HXXwdBUt27dsHXrVrF87ty5uOeee8Llzz//HBMmTMAnn3yC7OxsTJo0CdOmyRQ5L7/8Mu6//35s2bIFvXr1wkMPPYSLLroovNw0TcycORN//OMfUVZWhrPPPhuPP/44evXq1awxqKCwAj+t5lf7Oexjl/7FdEQ/xBZbiuqKqPWNpAZbilByO7kubdzJKZ/clNYoQ6ZlCtFyR125LPtlqhlm4b9+HXV5KClDlI2AfLU9jcIWk3LOFeUl2/5PlBPa5cntF84UZU7zlJDbRZRdXU8SZU6jZLDlh0uGiznca/hleNdRLS06+OQwPSmynCTPlY11Df3xOjlVDFlCUDiQz0s3hyvpz3IP/3lIodOa+uiWFJyWiVPpcLg1gSJIvNxNoWruHjlQWNe3sXHgtFNsqcHt9UyW4/GL/h1EuXCTDLV3yaAQG6Vp4tRD1rRMDQfU6ZXXBdtxuCvk6GRQfb5nufjYJ9jYq1jClbLMxzrE9iZU38FGE6HoJy+nqmvvlMeiMlUu31ombYaYKjN6mqbkCLuZY2aJAXX0by206JOy6upqDBgwAEuWLGl0eXFxsfg89dRTMAwDl112mag3e/ZsUW/SpEnhZRUVFbjwwgvRtWtXrF27FvPnz8esWbPwxBMNeRtXrVqFK6+8EuPGjcNnn32G0aNHY/To0Vi/fn24zrx587Bo0SIsXboUq1evRnJyMgoKClBXF/0CVBRFUZTWzCFNWXM+KvSPDy36pGzkyJEYOXLkYZfn5cknEf/4xz8wbNgw9OjRQ3yfmppqqXuI559/Hn6/H0899RTcbjf69u2LdevW4ZFHHsH48eMBAAsXLsSIESPCT9/mzJmDwsJCLF68GEuXLoVpmnj00Udx33334ZJLDibJ/vOf/4zc3FwsX74cV1wRXSyvKIqiKIpix3GjKdu9ezdef/11jBs3zrLst7/9Ldq1a4dTTz0V8+fPR319Q9inqKgI5557LtzuhjftCgoKsHHjRpSWlobrDB8+XLRZUFCAoqIiAMDmzZtRUlIi6qSnp2PIkCHhOo3h8/lQUVEhPoqiKIrSmjhkidGcjzr6x4fj5u3LZ555Bqmpqbj00kvF97fffjsGDRqErKwsrFq1CtOnT0dxcTEeeeQRAEBJSQm6d5fpdXJzc8PLMjMzUVJSEv4usk5JSUm4XuR6jdVpjLlz5+KBBx6Iul+VPqkbykqUegx+o4X1ED7Lq/02AgzSyrCGjG0ROPVOKLXh1fzykOwr64LcEWl6AKC+XTfZFtl1TEmUGqvFuwpF2QjIV9MXr3tClENVZbJ+grS8mJR7vigv2vshovFYyb9E2aT9mdD7atne+78VZWc7qftJyOko++ultEmEyRYcvJz0ghYbB7a4IIKkCaxNlOUDJQ0atW4Z8liRFNKisbKzvOA0TUa9PLas98uo2C3KwQw5ljv8UteTRO2zZot/QIJ0XbHmi3VOFtsGEv+w7UOCg9uX9fkytUjsSNfU1yXH46s0eXx4vPPS5fIvd8rr3k+iwMoIj5NK8jtJIgsHtrzoSGmHeCy81De+Z1k0aDGmWbKFrV64TNY+JlnfgKrnJMn+7K2W9av8cvwC9fJc4P2LPPVizN51xKglRuvhuJmUPfXUU7j66qvh9cqby9SpU8P/79+/P9xuN26++WbMnTsXHo+HmzmmTJ8+XfSvoqICnTt3bsEeKYqiKIrEoeaxrYbjInz5wQcfYOPGjfjlL39pW3fIkCGor6/Hli1bABzUpe3eLf+qPFQ+pEM7XJ3I5ZHrNVanMTweD9LS0sRHURRFURSlMY6LSdmTTz6JwYMHY8CAAbZ1161bB4fDgZycg2G2oUOH4v3330cg0BDKKSwsRO/evZGZmRmus3LlStFOYWEhhg4dCgDo3r078vLyRJ2KigqsXr06XEdRFEVRjkfi8vZlS+/ED4QWDV9WVVVh06ZN4fLmzZuxbt06ZGVloUuXg55OFRUVePnll/Hwww9b1i8qKsLq1asxbNgwpKamoqioCFOmTME111wTnnBdddVVeOCBBzBu3DjcfffdWL9+PRYuXIgFCxaE27njjjtw3nnn4eGHH8aoUaPw4osvYs2aNWHbDMMwMHnyZDz44IPo1asXunfvjvvvvx/5+fnCV+1IqCRRWFfSfrB/EIvMfJTyxMMSsrpKWa6XuqgQ6Y6cmTKdS4i8xHY7s8L//2avTC/C6Uc8ieSjRZqshIrD6/EAwCiXy0O10ofL8MixYiadOVmUl3zxpGyPdEycXoXTKBm1UufEaaNClWWyuWypezLT5Nha0jaRtsUkzRlr8NiTzkig8YgxnsDnUoq74fbAPmB2sD7Fxd5T5A3FmjIHnbfmgWLZwLYNothx0ChR3lQh208nwWOtjViHNWi8/26Ll5bN+NDm2IcsSBq9WtIduUm0lkzjd1EveW59e0COZ06ylHJ0JA1aFWlbIzV1Ww/I65xTNvF5w7AvGWvQWFNm9XiT7fGpaHOLtBwbg3zCOF1ZiLSa7InnovsCyYDRLkl+wZoyhs8FUTxmmrLmhy9ZO6gcGS06KVuzZg2GDRsWLh/SX40dOxbLli0DALz44oswTRNXXnmlZX2Px4MXX3wRs2bNgs/nQ/fu3TFlyhSh40pPT8dbb72FCRMmYPDgwWjfvj1mzJgRtsMAgLPOOgsvvPAC7rvvPtx7773o1asXli9fjlNOOSVcZ9q0aaiursb48eNRVlaGc845BytWrLBo3BRFURTleMJhGM2eVOmULD606KTs/PPPt7gxM+PHjxcTqEgGDRqEjz76yHY7/fv3xwcffBC1zpgxYzBmzJjDLjcMA7Nnz8bs2bNtt6coiqIoihIrx83bl4qiKIqixB/DacBobkZxDV/GBZ2UtQSmGRYO+IJSz5BG2hc7n5og64qCUiPmoHyIvNyZmiEb8Mj8k2Ziuih/t68hrdS+GtlWXorUraR7pPbCyzqiYHQfrQknXyvKiz6cJ8oOzllHWo9H/3m/KJsB2h7VN0mzZfillsZqJkWaM9K4hbKk/UkoSeautOTc4/6QtsURkCm9jIDsnxGU2hX2IQP5tvndUrMW9MtzMSuxoT/JLrnviYasy5qwSkeSKNfRieplTRZpyCbm/wTRmP/M9aKc3KGbKHfM6y/Ke2vkWLNOKJH2r64+is4H1uuONWf8+8baUItPGm2A+1cdII1bmtR6JlfsEuWemdIjj0lKkMdnX60cn1U7GnzMTmgv7wnbyqS2MsUb/WfE5YjuS8ZapgQbDRr/9NtpzixzjVB0DRznzvQHo9dnf8YUEhy62OSO2uN7fGReWc4xe7RwOA04mjkps7FVVJqIDqOiKIqiKMeUbt26wTAMy2fChAmN1l+2bJml7g9R061PyhRFURSlDWM4HTAczXxGE2P48pNPPkEw4rXj9evX4yc/+UlUbXdaWho2btwYsckfXshUJ2UtjIcebVMUBT4OT1rWj55WyXTKkBWn7jG8MjQRpHDl3pC0udhdXR7+P296P4UzM70UvkyQZQ5RsWVFfck2UbaEH1Pkq+e3nyb/wuJwJ/imQ2MR9Epz3wQOXxImhXqD2SeIchWF8BIpvQzbQjgotZCj+oAs+6tkB8hHgfvDoecqZwqtL0+uTHmqwGFEhCT9flpIKZ58Mkye6pL1yxMy5PoUlmG7lMU73hTliZ1Gyvp03XC6MLaU2Fsj2++UJkPtHF7kiJPdvZ8jPxYLDWrQT8eeIs+W8GWCQ4a86kMU8kuTJtYpPkqfRvcBo1aGwsmsBaO7NtR/a5fsa4pXXof+epZgyHNjT7WPlsvrgsfWmlZJLucfYosFhixa3yqk657viRa7Ei5zliY6tink/8IpvyqPVe6kGDAcBoxm5lmKdX6UnZ0tyr/97W/Rs2dPnHfeeVG2YUQ1bP8hoOFLRVEURWnDOJxGsz/NeWrl9/vx3HPP4cYbb4zaTlVVFbp27YrOnTvjkksuwZdffnnE22yt6KRMURRFUZRmEwwGUVFRIT4+n892veXLl6OsrAzXX3/9Yev07t0bTz31FP7xj3/gueeeQygUwllnnYUdO3bEcQ9aHp2UKYqiKEobxnAYMByOZn1gGPjoo4+Qnp4uPnPnzrXd/pNPPomRI0ciPz//sHWGDh2K6667DgMHDsR5552Hv//978jOzsYf/vCHeA5Fi6OashamE6U74dexTUoBQq4FlhQmMGmezTYLbqkRQ71cHkyXF8X2PVLnlB6hFympkn8Bpbil9iRA2ok7UmXu0iUbnhXlUPl+Wf8nD4jyolUy1dbEgdJUeMn3fxflCT0ulctJszYx51xR/m3lV6Jc7pGah6BLlhkviVtYS+LgtE5sicGWF6SzMgK0Pp0bgfResn5ICpWSHNG1LI66clE2/A3HnvvC2wZplpwHdotycscsUXaQ5onTKnH7j7x4s6xP6cCCPc4Q5c375VhmJ8n+cRolDpiwBYadxozLbPuQmCDLXirvqpI6LW6PLTi4bNJ1HkzMEGUH2c/wmeCs2iu/iNBZXZgnrVM+dElt4sfby+S2EmXnd1bIY9E9U96DWG/HtzSr3QhZZNhluLKMFekhqb5dEM4y9lROpOs+lTR2nFqvNWD8NwTZrDYcwJlnnok335R6UI/Hc5g1DrJ161a8/fbb+Pvf/x61HuNyuXDqqaeKVI0/BHRSpiiKoihtGMPZfKE/DMDpdCItLc2+bgRPP/00cnJyMGrUKPvKEQSDQXzxxRe46KKLYlqvtaPhS0VRFEVRjjmhUAhPP/00xo4di4QE+Yzouuuuw/Tp08Pl2bNn46233sL333+PTz/9FNdccw22bt2KX/7yl8e620cVfVKmKIqiKG0Yw+mw2MzE3MYRvH359ttvY9u2bbjxxhsty7Zt2wZHhI1RaWkpbrrpJpSUlCAzMxODBw/GqlWr0KdPn2b1u7Whk7IWJomMyTilB6dXYa2KdOqyeu6YlFoHpC2pSu8qyvuqpA6JPYfEun5ZNytR9oZ9uRbvKhTlCeRTxr5iCwtnirIzk92UJOzT9fvv/ibKnHbod9UbRHlHpRwbthNiXVAyaUcs2hROK0Upr8wESutEGjA7HZeZILUaBi3nNFacConXt3iPRWzfovlib6fU1KjLXeU75aZ80nMtVEaapgR5LiV06inKzo4nivLOgOx7BudxIvjY2tj9WbB6aUVfwaKDIlUXt8c6Ku4f998gYZNBnndwyvHkc419zIQWlc6Ls3Nl+dv9ct0kl9S38b7Xka9ZIh1ri+cb2BgM0ct8D6QrkyzskMDpzKi+mzrEekT2MXPRdZjmluMhE2K1DhyO5mvKjiT35YUXXgiTRXn/5d133xXlBQsWYMGCBUfSs+MKDV8qiqIoiqK0AvRJmaIoiqK0YQ5aYhxbR3+lcXRS1hKYoXAoymHIQ8CvW/N1kkrhTrbQMChfi+mSr58fcMgw014K2XWk1EVO6kBuckN/XZS2KMVDr4JTXw1KW7R4zRJR5pCVkS/TFoWSMkX5sZJ/yfUDsv36rC6i/L1PhgtT6ih9DIUjKWhi+1iZj50ljOKmNEgcMqKQniUUTfvPqY0cVftEeVLeMFG2jBeFWW7POhOHg+1ETErx5HDJUGioqkwud0S/1RiJcmyQlCHXz+kuyuUpHUW5pkae9xzm5xCTm35B2MbAyxYUoegyAk53ZrWwkF/UBOTYZ1BKslpaztchdRcmpx7i0DeXCT5XFh34KKJxCotT6PPSk6VVzNf7ZOg0EIq+L96Qjbko26+Q/Yc1XEkYzqjL+R7qQPRjzQToYDspnVyqW/bfS7IODudGniqHiezFHYfTAUdzNWXNnNQpB9FJmaIoiqK0YeJliaE0H9WUKYqiKIqitAL0SZmiKIqitGHi8aSsOQnJlQZ0UtbC1FpeD2eLDCkq2FIhNWDpHqlfSHJJnVJivdQdJdNyn5tfX5f985pSi5JQti38/34pUktisXiolmmTWCBhtO8kyqwZCznp9CQNFmuukCxT+eysk8tJyoHqKFoOoDHdEFlg2NyEAtwe9dfW8sKVFHU5KGWWk8ebYN0Q81jxSlF2lDW8vG+QfhD1lLbnQLEs+yllFOmAQl5y/aZjV5eSK8pbyuVYeWulpo0tKVjDZWdZwcvTnHL/+OTwO6WGjnVSCVSfz4V00pCxZs3kdGkEn3ucRslRUypXoHMnmNZBlBdWfUHbZ0VlxLq0717a1xzSpe6vkX3z0nXkqJN9tVzXdB8wDXmfsag/eX0bQtR/iyUHZ7Kj+wJryji9HGvIMsk6qLjSPmH30SYemjJV+scHnZQpiqIoShvGcMThSZmKoeKCDqOiKIqiKEorQJ+UKYqiKEobxuEw4Gi2T5mGL+OBTspaAMM0wylxNh2Qnj5dM6ReYneV1NKkU9oj1sJw+hWPV/o/uSn9Sp5bPiytBem2yF8q5GnwOXNW7KZlKYiGST5kIUp75PekizJ7OVkblEXKagTWmrA+z05CYXeL4XsY1+fteUjfZwRId8VpkNjbi3RZBvmy3dbzF6K8eN0Tcv120tuLfdN4AI0I77GQV/rbsf6PPdOMerlvwVSpESs3pF6ONWBb9srzNMMrx4J1O5b0YzY/EGz/xNsvD8rtWXzP6NiyJow1ZnbnBsORJE67xGmZDL88dxy15aJcnyH1m+Wm1IUlUuwpIaIDrFdzBuW2SinFFe8bZY6Dh0VaATrvDE4nRn5+fGxt4maW6hYvSD46VIH0dQmsj+TqdC7xoU6hey6fKy1BPHJfqiVGfNDwpaIoiqIoSitAn5QpiqIoShvGcKLZCck1fBkfdFLWEkSkWUolSwqmvE6GDnKS5aP8reUyTNSNwp/V9fJCSXHKECKHrDz0+raDUv9Ehhwt4UcjemiVQ0T8Kjk/57cspjgB3wT8FCepDUQPV7IFBveXwxp24UoX3dSq/NHDrwaFkhkHhSdDZJFhBGQY6bGPF0Vtjy1FeADMBBnSikxT5aPQcimlqEpLIYsLYm+NrB8CpQOjY8EpvDgEZodduI9T23D75RRSS6PrlMOn1jRMdB3RycLhUP495HOb63MqIIPClRxu/j4oj08G3QYsAbzI5tmqhc4jB41lHckOOM0SY/I9icKVkZIJwGovwsfa4DC8xfLCZvIQxQ6kMfjYWlQXdG4kUY6sFJvfgGOBOvq3HnRSpiiKoihtmHhoyjT3ZXxQTZmiKIqiKEorQJ+UKYqiKEobxuEwVFPWStBJWUtgOA77GncK6Q08CdH1BqyNKSetD2t1PCnykAfJdsHktE/Uz0ibBrZwcJtS/1ZN6VD8Fh2O7BtrwqySs+g2AryY7xH86jo/recyv7rvpsfzia7oD5pZZ8Q6H7YtsNOyOOoq5Rchqcsy2Dogp7soVqdJW4REv9y+g9I0hSJsLL7ZL491HqXSqa2X+8o6n5xkeZ55aOgM2heYcv0Sn1yBNV2JCazTkWXWlNn9/tSTvUo1CYW4Pbps4HRE10dazk0b/SLbJrDWk/WA+7x5opzCmjdqj20sTKFZk8c6hdKDcWo31pCxtU2lT5Yz00mbSn2pqJbnBqctYo2W20nWMTb3DTtHDIOvS0qBZbHEoOb42PPYs91LS2A4jOaHH3VOFhda/mxQFEVRFKXFiEfuS31SFh9UU6YoiqIoitIK0CdliqIoitKGUUuM1oNOylqCCJ+yctJX1NZLfQanVfKReIV9zqr8pM0hshJlfb4O2WMnifQjkdofwy99tDgtkOkhTRmJK3ykQ+LlLKdjnQ9rzPjpuZcex/Nyq1dUdG+rJCf5HdVVyP55pBeUXfoUTk1klu2RZfLqMtLay+UJcnzNTn1EucIr6wfp3PGQ/5Pj+7VyexHtV/mlT1lZHet4SG+XwGNJmjDSjBnkcUeyIeR55HkYIg0V64ZYoxYyyAuLYH2gJ0GOVZWffMs88uR8OLefKE/ft172h04Fi8yJlrMekcsO0noGk+WxDtTK/c+h6z5EG2SNXn1E2aKN9FCKJroOUmn5vhqpNd1WLv357KJmuyqlnvGErERRtqZji35uWkRfNpg2aZw4rRKPpfW+ItdnTVxtxHV6rCKCaonRemjR8OX777+Piy++GPn5+TAMA8uXLxfLr7/+ehiGIT4jRowQdQ4cOICrr74aaWlpyMjIwLhx41BVJUWwn3/+OX70ox/B6/Wic+fOmDdvnqUvL7/8Mk466SR4vV7069cPb7zxhlhumiZmzJiBDh06IDExEcOHD8e3334bn4FQFEVRFKXN06KTsurqagwYMABLliw5bJ0RI0aguLg4/PnLX/4ill999dX48ssvUVhYiNdeew3vv/8+xo8fH15eUVGBCy+8EF27dsXatWsxf/58zJo1C0880ZCsedWqVbjyyisxbtw4fPbZZxg9ejRGjx6N9esb/tqdN28eFi1ahKVLl2L16tVITk5GQUEB6uqko76iKIqiHE8YDkezPxq/jA8tGr4cOXIkRo4cGbWOx+NBXl5eo8s2bNiAFStW4JNPPsFpp50GAHjsscdw0UUX4Xe/+x3y8/Px/PPPw+/346mnnoLb7Ubfvn2xbt06PPLII+HJ28KFCzFixAjcddddAIA5c+agsLAQixcvxtKlS2GaJh599FHcd999uOSSSwAAf/7zn5Gbm4vly5fjiiuuiNeQKIqiKMoxxeGIw9uXGr6MC61eU/buu+8iJycHmZmZ+PGPf4wHH3wQ7dod9LUpKipCRkZGeEIGAMOHD4fD4cDq1avx85//HEVFRTj33HPhdjdotQoKCvDQQw+htLQUmZmZKCoqwtSpU8V2CwoKwuHUzZs3o6SkBMOHDw8vT09Px5AhQ1BUVHTYSZnP54PP16CHqKiosNRhn7GSKp+lTiReerjZPklq0FhnVVor9RwA5ZUjfQVrgSwGTBGePZy70SBNWVJK9Is8kc6+StLt8CVO1lMwbXQxFt8xm3yElvyDtH32ZWNfMWe9fGqa4mbdE+V7dMnlIN0VyO+J61dn9hDlPeTnlCVbs+Q1Nerp+LWXPmaOqr3h/5+ZJzVLhdvlul0p5yprllhfx5oxPm/5zDFIE+YkHRF7VxmUT5F1UXZ6v46pcv2Pd8pjzxq0Cbv+I8p15LmXzP2jzdv5ktWzpozyoDpMztUpt1fPXlm+MlHmHwKjvkHD50vOFstYw5XsThblk/x7RTklR/qQfb1PalH3Vst7VKqHdbJBKkf3jON7GnvW8XXuAOsb+UYTWy5M1gvW2+TeZM2bP2gctu7RIi6aMrXEiAut2hJjxIgR+POf/4yVK1fioYcewnvvvYeRI0ciGDx4kZaUlCAnJ0esk5CQgKysLJSUlITr5ObmijqHynZ1IpdHrtdYncaYO3cu0tPTw5/OnTvHtP+KoiiKorQdWvWTssgnUP369UP//v3Rs2dPvPvuu7jgggtasGdNY/r06eIJXEVFhU7MFEVRlFbFQUuMZj6j0QdlcaFVT8qYHj16oH379ti0aRMuuOAC5OXlYc8eaSNQX1+PAwcOhHVoeXl52L17t6hzqGxXJ3L5oe86dOgg6gwcOPCw/fV4PPDQ6+F2lNfJEFQ6peCoCchH+Uku+aifUwN1To++fQ7DOIIU7ozyKN8IyJBOMD1TlBMq5bFJSZS2CkZQrp8OaXtgUn1+Nd2SmoeWV4fk2HCaJ7vUO/w43lFZimiYThkadlN40ElpjHj8QOlh+M390NYv5fIMmUaplkLNpfQOSnaSPJcs40fh02BKQ9jK+d1qsez8Xj8S5Y92yjeeO6XJ866CQlBsV8LhS07BxWF1Pm953znNE8PLXRw+LC8W5c7pMny7h0JufB3uJxsIZ7I8NxINm3OP+su7wynJEinFWYhkCmy9055Cjg66ViPTOLldMjRdZch199NplO1JEeUupd+JcnKHXqK8tVxe9xyySyHbn2o6l1gCkkMpwNiCgs+dENup0GAbNgElvk9we3bWPRzujNz8sZJpNYj1m9OIzsriQasOXzI7duzA/v37wxOjoUOHoqysDGvXNvgrvfPOOwiFQhgyZEi4zvvvv49AoOGmVVhYiN69eyMzMzNcZ+XKlWJbhYWFGDp0KACge/fuyMvLE3UqKiqwevXqcB1FURRFOS5xOmE092Pj56Y0jRYdxaqqKqxbtw7r1q0DcFBQv27dOmzbtg1VVVW466678NFHH2HLli1YuXIlLrnkEpxwwgkoKCgAAJx88skYMWIEbrrpJnz88cf497//jYkTJ+KKK65Afn4+AOCqq66C2+3GuHHj8OWXX+Kll17CwoULRVjxjjvuwIoVK/Dwww/j66+/xqxZs7BmzRpMnDgRwMG/hCZPnowHH3wQr776Kr744gtcd911yM/Px+jRo4/pmCmKoiiK8sOkRcOXa9aswbBhw8LlQxOlsWPH4vHHH8fnn3+OZ555BmVlZcjPz8eFF16IOXPmiJDg888/j4kTJ+KCCy6Aw+HAZZddhkWLFoWXp6en46233sKECRMwePBgtG/fHjNmzBBeZmeddRZeeOEF3Hfffbj33nvRq1cvLF++HKecckq4zrRp01BdXY3x48ejrKwM55xzDlasWAGvVz7aVxRFUZTjiXi8fXl8xd1aL4bJOSKUo0ZFRQXS09Oxd8s3SEs7mOLm9Z1y+GtJM5bmjZ4epku6nBQm0qv3GV6px0hNIH0D2TwY/Po3pVly1FU2FFiTtHe7XLXnGbQtKXK6vd1ZovxYsQwhW1LlJMtX6x2VUgdo1EtdTTBNvplrko6GU/XYXQmuSvmmrZN0OKEkqakLppG/Ho2to7ZclqsPyPpVUoPm2yDTILm6nCjKu04YLsqlpE/slk66ppA8Hs4KqaOK1Ohx33gsK9vLvhyok+cx25Wwpox1OLX1bCMgu8apaRhObeNNiK7h8jqip2lCSO5PtSGvu0qyaSiuktfNsm6DRJnTMLFtA8MaOLb4YFsFHr/9lHaJ9YWpPnl8I/e/Jlm+dc76vXpKj5ZO9xwXyMJij8yEEkyX18kXVXJsA2QNs6VMajV7Zkp7kJxkec9MpbF1OVkzJmFNm8MmLxPbjfC5wOnj7FJMRmpfKysrMLBHJ5SXlyMtLS3KWkfGod+kLyZfhTSv236FKMx46yPkXHBxoxlzlKajc1tFURRFUY4ps2bNsqRRPOmkk6KuY5cO8YeATsoURVEUpQ1zKHzZrM8RvCrat29fkUbxww8/PGzdpqRD/CFwXFliKIqiKIoSX+KiKTsCS4yEhITDplFk7NIh/lDQSVkL0y9XevqwXmPTfpmShH3LOI1SEvlDsZbGUVcmyoafUu2Q7inEXmGROixTahAcmfLiMr78lyj7B1wkyov2yr+KHOzj5ZPeV8GvVoky2nUQRYvyI0V6S31Xxf5HUmfDerxk0i2ZbqldYQ1ZyCN1VuyrVm/IY+dMlZo3ZwKNpztRlBM6lcn266VuKc8jdU+19XL7daRt8XgoVQ+n7qlrSAsWzOgolkV6mAGAl0a/HeXQ2llJ/ndSdgS35QdBnoeskeK0Q0y95WyQ7bMGK4E8mpwJ0f39UiLGBgBSDHkupWZliPJtO2UaJvauYlhDxv2tof1nHzIeTj63efgs1723Qb9U7pPnFXedNVMG9YX1cqFcGaLy7P5alPt7U0X5hZ3yushMlJoxTh/GOtrmen2ZNNkwbNIm8bFjPSUNl+VciKxuc5rHjZbyKfv222+Rn58Pr9eLoUOHYu7cuejSpUujde3SIf5Q0EmZoiiKoijNJhgMWnI8H85EfciQIVi2bBl69+6N4uJiPPDAA/jRj36E9evXIzU11VLfLh3iDwWdlCmKoihKGyYeaZYMw8BHH32E9HQZXZk5cyZmzZplqT9y5Mjw//v3748hQ4aga9eu+Otf/4px48Y1qy/HMzopawnMUNgeoYpShpycKh/9m6YMKe2pliErTrvEj+rZGsCgkBen/gmy7QTZNhi+6oi2pKWC6ZflUGWZKHu++KdsO0+mCTKddDpSuhbHKefK5Ttl2CPU/VRR/vCADHPkyeYaeVWdy/JYJFMaJQ5XGsF6KsuQXQKFxDg0wWmaOHSckN0x6vINlaJoSU1UEyBrAjpZUilcWh8RnmWLCIe/WpRN2jd/SI59hU+u702Qy0N0LDhqw+G7Ogpn2v2ezMvuK8r37pfiYNOMHoK6N62PKD9as0GUJyedLMoLauW5yeFcDlmxTQJfxwZZciQmyBBdXb1cziHHdI+sz+PJ196BUMPx9JGkgsNxHEpmCUa5j1Ja0c51zu0tykZASiq+3yetZwZ3zhBlvgdy+5yGyUnLmxve5Kgdj22Qzi1f/eHDlQCFh49V+DJOmrIzzzwTb775pvi6qakGMzIycOKJJ2LTpk2NLrdLh/hDQd++VBRFUZQ2jMPhgMPZvI/hAJxOJ9LS0sSnqZOyqqoqfPfddyK/dCR26RB/KOikTFEURVGUY8r//u//4r333sOWLVuwatUq/PznP4fT6cSVV14JALjuuuswffr0cH27dIg/FDR8qSiKoihtmJZ4+3LHjh248sorsX//fmRnZ+Occ87BRx99hOzsg292b9u2DY6IPjUlHeIPAZ2UtTCsh9gXlClGcqRsyaJNYZ0Qa2GcpPsySAsEsm1w1pSKcn1Gvqwf8bq6s0LG903SkLEGKlgqtSHGvh1yOa+fJ1+NdpJFxrvpMo1TzW45Fp3SpG6pmvR7DtLZsDaGpCgW4Y8RoBRVpLtizZ3fyZoy1hVFvyla7ElIg+YPsACF9YlyqZvOlQSPbN9j8AA0YHD6LdIeOr3SjoR1SayjYY2Vg5LfhOxS3chDa/l9mLL7c1mfOlBBmjYvHeuZpV+KMg/1IzVSQ1YbiG5R4bIk95Gw3jFA9ZMdUq/Y3inLNYHo6dlY97TXkMd+e3nDuZ1BNjx8HTE7KuR5z3pC1nhx2qMAe0bYUE7pxKpp7PlYczIh1vPxZci6XE6XZlDAiTVtQSrXk3bVT7sbea7bnffxIh6aMiPGSdmLL74Ydfm7775r+W7MmDEYM2ZMTNs53tDwpaIoiqIoSitAn5QpiqIoShumpRz9FSs6KVMURVGUNkw8NGWxhi+VxtFJWUtghoDQQV3CgVqph8hOknoF1pZ0SJGHrD0JJJxl2+UXNbI9R02Z7Ap5gdWt+j9RThh1myhXGQ2at7Qk1hVJJ2fDRRqqOtKzEWaNXN9MyRJl379fFeU+IwaKctF2uT5rV5hK8nKypLYhfyHTQZcLaUtMp42Ox5TH2k9plyx/adL2zASpN3RQqp/uWfJV8j01tD06l6pIe8M6I3eE5o7T8CAkb+DsLQXZVYt20i5VD+t8WBfEOp9AiM5zWs4+ZP6grB9kPSGl7vFwh4gHMqUP2v0HvjxMzYM4qT2Lxo6+4FRCATp33KbUN3ZMlecie4fxeG4tlzqwyGuDx3pfjbzuXfSEhbWSlX55Hn65U563iS6p7eTrMC9Dnkx8XXdIkfcZ1i8yQT6UtD2SfMHBKalYdGbyuRc9pVd9iHzUWEN3jLzJInE4nXA4nfYVo6CTsvigmjJFURRFUZRWgD4pUxRFUZS2TBzSLKmmLD7opKwFMMxQOBzEj/rZGuBArXzVPStRPmJOJtsCwy/DSBx2CpbuFWVHulzuOVGmKgq8+5wop557Rfj/potiVMkZohii8JszXaZwMmtlONORmoloOC+6VZQz6Gn7xZllolyV3lWUP9wu8xDxq+teV/SwQ4hCRg5Ks8Tv0rNlhTX8CSrLLwx/DaJhJsj20yq2inJKSrYoH4BMo1Tlp3ODwzSRqX3YBoDsSZgkJ1lc0A2bX/XncCaH25gaSjvE4dEkColx2RIptvlB8QX5OpX9m7b3C1oePRURh7hcCdG3b0mfRl/UJshz0RuS941ESmvF6d22UfiyfVLDucWhYU6zRENrGeuT2kuJRJZX9oWPHZ+HmYmyfm6yPO95e7w+R54tZxbtj01003Ly8LHkayWBlnMo2kVpl4IxWoLEA8MRB6F/c/NVKQB0UqYoiqIobRoV+rceVFOmKIqiKIrSCtAnZYqiKIrShomPT1l8+tLW0UlZS2CGwrqDbeVSA9YzM0mUOQUJvzrPVgSc6idUVSbKDtJ1oV6+3h7Y/o0oJ3ToLqu/+3xD3864SG7LJfv+SV2GKJ/QUaZNyqqWaZacFTINUzCZ+kpaDdf+7+Vi0mwlb3hblM85ebgo/+0rqa/rlCY1cqwDYi1NiNISsa1DEumEHJTiykPHymKxQVqU2/POFeUlm5fL+mRBwuOR6aDUPwZrcaJoWUjDZQSlZinklpqmhDJ5bLMSc0SZ0yKx7UKIfAhcFFoJkB7Oy5YRnKaI2uP6/INiF4lh+QzbODC8nDVznGIrkfSNdr93Jh27ipA8tiYNOOuq2FaiuKrBYqNbhtQishbTklYoxJoruS3WiKWRxixAdiWsGUtxy/M6wcbJgfV3PPXgsBtfBWxPwg3wWLKGjOHx8tB9wh/h2cHpxo4WLZFmSWkcDV8qiqIoiqK0AvRJmaIoiqK0YeIh9FdLjPigkzJFURRFacMYDicMhzr6twZ0UtYSmGbYmCnSDwiwevZYVyVPHdKUhSoOyPp+6T/kSJTan5CPlqdJHVd98WbZgYgLt+q1Z8Si5EtuEuX3N8u+tEvKFeVMl9SqGIlpclPV+0WZ0wxZ0g5VSk0a2uWLYtJ/XhPl3h0uEGXW9/XPlf5KrDFzkS7JQflZWN/HGi9L6iIuO2X9x/a8L6v7o6etMoJSL2hCnmtuar+2PoqmzEYnY6nuk33LSZO6oW3lMi1QXorsG6eySSTdTapH1q/0ybHbUSHPa4vmjLy3WLMW5EPBOiKbtEhuWoEkYqi1STOVQBo4i8bMZL0josLHln8/81LleG4pa7gWOG2Rnacba8BYF5tKmjCLD1qQfdCMqGU7uLs8eYixOcuxtpuMsKaNa3upAzURh7q5D6+ajMMh7u1HRIz3CKVxdBQVRVEURVFaAfqkTFEURVHaMoaj+Y/lNHwZF3RS1hJEWGJk0uvg5T4Z8kqisAWXzZBc35EhrQfM5CxR9qXlibKT0uU4q6RNRELlPtmeryGsEaqukOtSuPGqASeJ8uZSGVLq3o7CkZS2yVFbLsocoTHJhiGU0j7q+iaFanvR9t/dUibKbBHBIaJfJcn9+131BlmhXtpGWB7vc7iSsQkHcPjWCNRQWe4vKJzqSpTrV3F3IrZvJngQDQeF0U1KQZXnltv+msL0fD/nFFccDvRSODPZcp3I0PiBWrm98jrZH7ZZ4HClm4MKDg71yv74KP5pmnJ5ilu2V0fhRQ6V19LJxyExS3iU2uMQXTWHJKn/HSPsYayp3uQ9h7FzVuA0Qx4aW049x7C9iJ1tBDfHcw+27LBYZNj0h8OZdKgtFhts/8LHMnI51z1aGE4nDGdzw5c6KYsHOilTFEVRlLaMwxkHTZlOyuKBasoURVEURVFaAfqkTFEURVHaMvqkrNWgk7IWwDBNqx3Cf+mcLrU7/Kp8kF/FJx0Vp79hGwbWpsAhUyOlUGojS0oSNGjM3Cf0l9uy2BjI8sntpc4HkDok1jyFyqS+zeyULcrBVGmx4SzfJeuzBQXZgaSQECcnWdoCcCocN2kuHq2RGjK2oLBYUpDOyXTK7Vmwu0nSeFksOFiTRtYDrN1hDZ0ZcZNlWY2lbUtZ3qATyraL8kntZfquLWVS/3ZiOzlWnOJqVxVpwuhYsk4nL0XqoCr9sj5fZ2zL4CdFo8uk/XVSfXK2qbMoiyQJJPpiTViSi1IZsW2EnWWHxcJDlv10P8pNsTk3I6ir53sZ3zWip7hiOxLWjLFGjXVWNhmuLGPB2Fpk0HLW+zE81twBykLViKYt4v9RtxQ/4mIeq8kv44KGLxVFURRFUVoB+qRMURRFUdoyGr5sNbTok7L3338fF198MfLz82EYBpYvXx5eFggEcPfdd6Nfv35ITk5Gfn4+rrvuOuzaJUNU3bp1g2EY4vPb3/5W1Pn888/xox/9CF6vF507d8a8efMsfXn55Zdx0kknwev1ol+/fnjjjTfEctM0MWPGDHTo0AGJiYkYPnw4vv322/gNhqIoiqK0BIcc/ZvzUUf/uNCiT8qqq6sxYMAA3Hjjjbj00kvFspqaGnz66ae4//77MWDAAJSWluKOO+7Az372M6xZs0bUnT17Nm66qSHFT2pqavj/FRUVuPDCCzF8+HAsXboUX3zxBW688UZkZGRg/PjxAIBVq1bhyiuvxNy5c/HTn/4UL7zwAkaPHo1PP/0Up5xyCgBg3rx5WLRoEZ555hl0794d999/PwoKCvDVV1/B65V+T7ZE+JSxn1G6R/61sqeadEJmdD8jV73U5rCuKZE0aJU+KX7xuVNF2VtXKcqOhAZtDqdsQnWpKKa1k32pdtA40b4bVTItE9p3EsVAegdRdtaWyfVZp0d/+Tm6niLK5ZSap2Oa1PPVky7Ioq9jTVe9D1Hhm5alQRsfMy7b3QRJI2LUc9oliUW/GHFucWod0yvPEwu0rZA3XZQ7mGVy26lyeTmdl9y3fTWyfWeKPHZu+qPfS+UM+sJFwp4qfyhqmVMDcVoo1glx/+uozAouru80WN8oNxAicyzWB7I+kjWCdaQ1jUyV1D5J6vFYb8d6Pz5XOHVcko0ejveNNV6sF4x1KmCnMeP+8wMgi2TMIiKT8GJOkcW+Zi1BPDRlmvsyPrTopGzkyJEYOXJko8vS09NRWFgovlu8eDHOOOMMbNu2DV26dAl/n5qairy8PG4CAPD888/D7/fjqaeegtvtRt++fbFu3To88sgj4UnZwoULMWLECNx1110AgDlz5qCwsBCLFy/G0qVLYZomHn30Udx333245JJLAAB//vOfkZubi+XLl+OKK65o9lgoiqIoitK2Oa6eN5aXl8MwDGRkZIjvf/vb36Jdu3Y49dRTMX/+fNTXNzzBKCoqwrnnngu3u+Fv0YKCAmzcuBGlpaXhOsOHDxdtFhQUoKioCACwefNmlJSUiDrp6ekYMmRIuI6iKIqiHJcYzQxdOpyqKYsTx43Qv66uDnfffTeuvPJKpKWlhb+//fbbMWjQIGRlZWHVqlWYPn06iouL8cgjjwAASkpK0L27fP0+Nzc3vCwzMxMlJSXh7yLrlJSUhOtFrtdYncbw+Xzw+RpCWhUVFYetqyiKoigtggr9Ww3HxaQsEAjgf/7nf2CaJh5//HGxbOrUqeH/9+/fH263GzfffDPmzp0Ljyd6vr6jzdy5c/HAAw9ErcN501hLwnDeOPb0YUI22p8UEt9sr5Rana6UKzNSR+UgHzA7zVNKiHIzkl7NSJDaFV9ub1F2UC5Hw0/5Fp1y/VBGR1GucUpPtqoaqQmzyy9oGesQic4svmDRfcP4yFl81VijRutzfYt3GPugkc6L8y1WkblWTUR+xkQS/gRJe8hjY9DYOGqk3pBzZXZzkL8e5c4MetNE+bsD8lxi76tUjxwbF/3g8I2PdUx5XvKWIg+7/XTuVPhZYybbt+RrpOU+OhasCQuS8MjuPsFwf7js5eMbsX2+DlhT5iEjMfYV42PDejxAHhs+FhzO4f7EOhdgXa41tWX0BtknLUQdZJ0va9j42Md4KI8Kmvuy9dDqw5eHJmRbt25FYWGheErWGEOGDEF9fT22bNkCAMjLy8Pu3btFnUPlQzq0w9WJXB65XmN1GmP69OkoLy8Pf7Zv337YuoqiKIqitG1a9aTs0ITs22+/xdtvv4127drZrrNu3To4HA7k5OQAAIYOHYr3338fgUDDX+KFhYXo3bs3MjMzw3VWrlwp2iksLMTQoUMBAN27d0deXp6oU1FRgdWrV4frNIbH40FaWpr4KIqiKEqrwuFo/keflMWFFg1fVlVVYdOmTeHy5s2bsW7dOmRlZaFDhw74xS9+gU8//RSvvfYagsFgWL+VlZUFt9uNoqIirF69GsOGDUNqaiqKioowZcoUXHPNNeEJ11VXXYUHHngA48aNw913343169dj4cKFWLBgQXi7d9xxB8477zw8/PDDGDVqFF588UWsWbMGTzzxBICDr/pOnjwZDz74IHr16hW2xMjPz8fo0aNj3/EISwwXPevncCY/KuflDlOGpDiEaARkCIwfrSft3yTKTm83US6l5rMiwpmcJsiSVojCiaxZYBuB+nZy2w4biwlu30yUtgoc3gsE5L6X1lJaJ4pjcNol2ygDh2/ZNoHCmTH7+tjV5/HgcCiHFOkeWl4n+8f2LJFwti62NUiiL9wuaYdi0rE1yMqF4VD5ie1kePPLvVWinJssjxan/HJTOJBDTHV0a3RQBbbU4BAU20S46U7LITi2feA0TXxu8vj7bXweHBySc9B9hpZH2sFwKJUlFGwhweHLoE1UrNLP55287jicybAVQ6xpl6wpqeQXCTYWGZY0SdE3b7mHtworiUM+Zc1BfcriQouO4po1a3Dqqafi1FNPBXBQH3bqqadixowZ2LlzJ1599VXs2LEDAwcORIcOHcKfVatWATj4JOrFF1/Eeeedh759++LXv/41pkyZEp5MAQffknzrrbewefNmDB48GHfeeSdmzJgRtsMAgLPOOgsvvPACnnjiCQwYMAB/+9vfsHz58rBHGQBMmzYNkyZNwvjx43H66aejqqoKK1asiN2jTFEURVHaOHPnzsXpp5+O1NRU5OTkYPTo0di4cWPUdZYtW2Yxi/+h/Qa36JOy888/3yK6jCTaMgAYNGgQPvroI9vt9O/fHx988EHUOmPGjMGYMWMOu9wwDMyePRuzZ8+23Z6iKIqiHC8YDieMZj4pM2JMSP7ee+9hwoQJOP3001FfX497770XF154Ib766iskJycfdr20tDQxeWsVTxrjyHHx9qWiKIqiKEeJQ7qw5hDj5GjFihWivGzZMuTk5GDt2rU499xzo2zGiPqC3fGOTspagghNWfeMRLHITYKMA7XSKqCSXr1P9sr6oaRMuSmXtIHg19lDtLybb5sor/dLWwlnSoNuKZXSHrFmqZ6i4+56srBwkWUJabL8DqktcYE0WnQTYQ0Vw1qRNLJNKKuTY82pdyzwX5b0brwRlO3BxuLCMNnigzRtCdEtXswE0vhxGigu0/p8rmULTZ0ce9YRcZkJueR5brE3IT2iEZCWFw4a6xPpUO9Oku3vrpbttU+SY8Npi7j7bjr2PtIBsYbMk0C6KtaEyaJFNxLi7VvSKHEqI1nfkurI5qkFn9tcW0oCbY6tjSaL05WFSJ0ZIN1qNaWESnTF9jPFEjR+ksIRGDuNGQds+Fyx6H6N6OcKYxcROhbE40lZc4X+5eXlAA5qxqNRVVWFrl27IhQKYdCgQfjNb36Dvn37NmvbrQlV5imKoiiK0myCwSAqKirEJ9JA/XCEQiFMnjwZZ599ttByM71798ZTTz2Ff/zjH3juuecQCoVw1llnYceOHfHcjRZFJ2WKoiiK0paJU5qljz76COnp6eIzd+5c281PmDAB69evx4svvhi13tChQ3Hddddh4MCBOO+88/D3v/8d2dnZ+MMf/hCvkWhxNHypKIqiKG2ZOGnKzjzzTLz55pvia7vMOhMnTsRrr72G999/H506dYppky6XC6eeeqqw1jre0UlZC8Nh+PYJUtezNSgFGR5KReQ3pA4g4MoQ5STSuiSTrqkiWerCkt57WpSzz75elDfub9AC9ciUryKzP5GDdUjuFFmfvKmCCbI9g7QWBmnOWC/nI+GOJZ0JLU+ksaknMynWprC/UMglj4WTUgdZfNsg3yhyVO+Xy0kTV5uaL8o+0tpwiizLxWzxTZOaMk6dxLqlSG0Qp/lhzROPFatkTNarkG8ZeOzYt4yWsx5vQG57Uf5qr6xfE+DrSI4Wpznyky4oVl0Re3nZpUViNU+QRtDFqX2oPrfP63P/7Iisz8e6js5DHhu+zrg+Hws77NIU8Z6xhsxic8YaM5vtsUaOPd0Yq28aaehaXkJmwXA6mp1myTAMOJ3OJpukm6aJSZMm4ZVXXsG7775ryVHdFILBIL744gtcdNFFMa/bWtFJmaIoiqIox5QJEybghRdewD/+8Q+kpqaGzeHT09ORmHjwxZ3rrrsOHTt2DIdAZ8+ejTPPPBMnnHACysrKMH/+fGzduhW//OUvW2w/4o1OyhRFURSlLXNIF9YcYnT0f/zxxwEc9CuN5Omnn8b1118PANi2bRscEWHV0tJS3HTTTSgpKUFmZiYGDx6MVatWoU+fPs3qemtCJ2UtgGGGwqG4Ch/ZFCRIK4COqRminGnI8GPQkCG8On7dmx61J1BYKClRhpE8Jw4U5dwaaZHxQWXDo+l0rzx9OMyRYGMpYRjSpsBr82p4wJDbS6B4Kd8S2EKjisImbBvAqYE4DMEhIwuW8Kq0abBYYJQVy3JShijvdcpzg20MUqNLNazbq5ehcWddhShzhC0yXMshHH6Nn1NmsfWKXfiMQ7cmhbo5FFyfLkO7fr/cXu928rzeVyuPPe9PkPprZxnBpypFdy0hNg6V11K4lOtz+wk2qYbqyVODQ3C8OluY8HhEWmyw3UZNIHo4Mtkd/cedw+QpnIMqRiyhcptYMx0Kyz2SW+SxNGwSrtk56TAc7o3s/jGLdMZlUhbbjjfFCuTdd98V5QULFogUiT9E9O1LRVEURVGUVoA+KVMURVGUNozhcFjMuGNv5IeV7qil0EmZoiiKorRlWiB8qTSOTspaglDo4AeAl16dDyW3E+V2lve1yQah9oAouz0yzRLrN1jnlFAudU317eVryc7KvaLcJ7tB6/PV3iqxrGem1LdZ0q2EomvQagJsK0A2DCTWSOCxI22GEZT6u9qArO+ivwy5PxYdFb3Jz5YdjGmxfZB6vlC11HQ5kuWxs+iabHRHFgsMKltsJmg5by9Sd8S6F9afsT7E6Yxut8GYTmkvAkoZFXKki/J35fJgJLmi/yB46VyyWEjQ/rEGyy7lFusn+VjVkzCJ+8OtB222x+3x9pubuSfSIqTSL7WNfCyTXPKeZLdt1pCxNQtf57FqtBi7oXDQhc3phnisuT277h0XUxXDEbNQv5FG4tKVto5qyhRFURRFUVoB+qRMURRFUdoy+qSs1aCTMkVRFEVpw5gwYDZ3Uqaasrigk7IWhjVlDHvqVJtSe5PilNob1kVZqJf6CdbyOOoqZfXMzqLcy91gjvXxjjKxbF+N9JJirUlZndSmpJK2xKB0JJzax7QZK8bwS8+3RJdM/7GnSvp25aTIsahnjZrdBtlri8oJZbtke1l5ohxo102Us51y/Sp/9PQ0Rj2ldXLIHWANm5kjzx1fUKYmivQWs9MJ2WnMTLph+10y5VSCm1JQ+eR5uN0nj01NQJ5LTtIBsWbMohe0aORY/yiXe22uqzlZfUX5vv3rRZk97hJpPNjHzGXK/fOTR1815erhK8PPPnK03Hq8ZDkUoZxi7SXDaZT4uuYcUuxZx2Nvq/XkdGfcd/YV431lzRqLUamYQOcWb98uTRNr4ng069lbMqJsp8WMG3F5UqbEAz0KiqIoiqIorQB9UqYoiqIobRnDaH74UcOXcUEnZS2BaYbjBfwqu48enXsM+YWTHu0HXTIdjd2r8hZbBGrPpHAoKLyZULkn/P9zukoLhw+3lorygDwZLuTwJqdj4VQ3/CA3wRE9JGVJluKRY9PdJ8N366vJIoPay/ByeJXaNzi8KvMeGQEZDuSxr8/qIsp1nHYqIMOvKW5pOeKk9gx/teygJxXR4P46DNleYoTNBIdkGI7ucYoq5kCdDMWme+S54PLIc2fbPhnOzEqU5yWnAqoiG4d0j6wfsjFK4P3lU5PPvZmlX0Zd37T0T+6/i0JkrpAMrbsNWb8WvD8SHg8OGXJUzGoR0lB2s4aCcFN8kg99rD/VvC9uCuUG6Z7kp1i0Zew5pRbLEjgdWUhuj3EYdN+i9jlcyeeO9do4fDj02KVZclh+C2KmjUzKsrKyYqpvGAY+/fRTdO3atUn1dVKmKIqiKIrSBMrKyvDoo48iPT3dtq5pmrjtttsQDEbXA0eikzJFURRFacOYhqPZb1+abcgS44orrkBOTk6T6k6aNCmmtps0KTvaj+sURVEURWkh9O3LJhPit3VtqKystK8UQZMmZUf7cV1bhrUptfR6uZNSkFi0OzavTPPr2w62HqiROrBQojzGrIuK/GuqY6rUdvTIkpon1pAxdQFK80M7x1oR0yTtB7XHWg7TKTVTzvKdonxytrT72Fom95Vf7bekXbJJc+SoLaf+SM2Y6ZLjxRjUnpPSRjlqy2T9CpkSy2xPxzpZ6rSqg9H/so3UIXEaI9bleMiuhNMS2Y0dayFZ48T2Km5n9B+QSp+8/3ictD6nObL5I5+vS0+CbM/u58wuRZbFwoP0g2yNwD8MfJ3z8YEj+n2C+xdpS8H6O+4769UshyYUfblJ1jeVJKxtnyivG4tmzWZwLRoz6p7dZIQ1Zg5OIUb1LWmYqH8O8uiw05gdE+IxKWsjmrKjTZPDl0fzcZ2iKIqiKMrxSlpaGtatW4cePXo0q50mTcqO9uM6RVEURVFaCE2z1Gz4Ld8jRYX+iqIoitKGiYfQX8OX8eGIJmW7du3Chx9+iD179lieot1+++1x6dgPGjMU1h/Z+QfZpa9hfUM0zxsAlr+GQokZcjF5X5muRFF2RmjQnMntxbJTsqUO5tWN+0Q5J0VqvHZXS82ZXcop1hGle2y0IPVSg7U3pZsot+cUVn6pXbHzsnLwcvY7opRVpkdqvDjFlTdEGjzSlHF7zio5vmaIdJw25XLSXdVb/J4a9i+FNF0+mzRGjoA8jxy0r6yR4tt5Mmkpu6bLc4e3V+WXfWcfs5qA3Fd3grz1OcC6H9kf1iXV2+w/lzkVUS2lSUqkOzFr2BjWjPGZuqhDf1GesvtzWZ91YXQpyRRbcl/4MrV7PsD3LNbP2ekPeSySXLFNHrh/rL9zOlm3yzvIg03aURvfMsZOCxvZPTt/wLhhGPqkrJlcc801SEtLs69oQ8yTsmXLluHmm2+G2+1Gu3bthEjRMAydlCmKoiiK0qZ4/PHH49JOzFPj+++/HzNmzEB5eTm2bNmCzZs3hz/ff/99XDqlKIqiKMox4lCapeZ82giLFi1CXV2dfcX/snTp0ph09jFPympqanDFFVfA0dyUDIqiKIqitDyHhP7N+rSNidmUKVNimmRNmzYNe/futa/4X2IOX44bNw4vv/wy7rnnnlhXVRrBm8DaEykiYP8mhvULXJ19zSxY8jd65XL2l4rIl5hAuSTTyYfr8lOkhcrfN0gNVCXlJ2RfMCZAQpq8ZJnbkbUZFSb7G8l94fyL3J92SXIsKkiDZdF8kadbcNcmWf/kc2R7Mr0hMgLRL/SEihJRDmz5Si7Pk7k0ndX7ZXf98q871jXtJV+5SOkPpz9018tjb/JYB2Vb7PWUSFpFPsudlPuxXYj0eQlSn5fgldtPdcs/GvfURM9nyL8nrDHj64hzSyZwHlYbLZDd7xe3zxo2Xm6fm5Q0c/Q3Na8fqfPifed9jZY3E7D3aGN9HPsbdiI/RG6fsdPh8o2C9Y0O1obydc5lylvKJ7PdW3k8vpHd43ua0vKYpokLLrgACQlNmz7V1tbaV4og5knZ3Llz8dOf/hQrVqxAv3794HLJC+aRRx6JtUlFURRFUVoITbPUdGbOnBlT/UsuuSSmrEhHNCn75z//id69ewOAReivKIqiKMpxhMNhfXwaK23k9z/WSVmsxDwpe/jhh/HUU0/h+uuvPwrdaXvw690GJe3gB98ctmAsCTvoC2eCfLJpsG0CP7qnMJTpaDhlOEVTbYYMnyV++4Eojz7pR6L80Q4ZkvJZcsNIKv2yryXVMiTVPlGGEaopjVMnU/bXmSgtPXZVSguN0lq5vRS24KCxclbuFuVQrzNEOZiYKcruIIeGZYorB1le1O+kcCgdOzNAlhoUVqnvcqooe3zy5Ej1yNtBZOg8xJYRHMIhKxU46NZC4csMrxy7/XWcXoxsBlwZcrls3XLes71KukeuwRYVHPJi2LbBEnKi+hyysoRnaQVryI9kDRwipPa5f/+754vo/aX22eYiMtzJDhSWDE5UNjntksXyQbawh6xxUtxsMSHXt5N08Nhb7iqckoqPLaXk4nAlY5fqztK/mGofIzTNUqsh5qPg8Xhw9tlnx2Xj77//Pi6++GLk5+fDMAwsX75cLDdNEzNmzECHDh2QmJiI4cOH49tvvxV1Dhw4gKuvvhppaWnIyMjAuHHjUFVVJep8/vnn+NGPfgSv14vOnTtj3rx5lr68/PLLOOmkk+D1etGvXz+88cYbMfdFURRFURTlSIl5UnbHHXfgsccei8vGq6urMWDAACxZsqTR5fPmzcOiRYuwdOlSrF69GsnJySgoKBCvo1599dX48ssvUVhYiNdeew3vv/8+xo8fH15eUVGBCy+8EF27dsXatWsxf/58zJo1C0888US4zqpVq3DllVdi3Lhx+OyzzzB69GiMHj0a69evj6kviqIoinL8EYe3L5W4EHP48uOPP8Y777yD1157DX379rUI/f/+9783ua2RI0di5MiRjS4zTROPPvoo7rvvPlxyySUAgD//+c/Izc3F8uXLccUVV2DDhg1YsWIFPvnkE5x22mkAgMceewwXXXQRfve73yE/Px/PP/88/H4/nnrqKbjdbvTt2xfr1q3DI488Ep68LVy4ECNGjMBdd90FAJgzZw4KCwuxePFiLF26tEl9URRFUZTjEs192WqIeVKWkZGBSy+99Gj0RbB582aUlJRg+PDh4e/S09MxZMgQFBUV4YorrkBRUREyMjLCEzIAGD58OBwOB1avXo2f//znKCoqwrnnngu3u+GV+YKCAjz00EMoLS1FZmYmioqKMHXqVLH9goKCcDi1KX05UljT5U2Qega2BqhGdL0Fw/oLtoXg179Z8OB0yvQ2LrM8/P+QV1pSeCulZYORLi0xfKTjaZ8kbQw+3HZAlE9qnyLKbIlRUiU1YMmcEoq0Ivud7UTZRfeQsztIC4y/biwX5X65sj+snQm0P0Fu//N/ivKunheIckfZXUtaKPOb1aIcqpY2FI50uT+ol+dKsEKOZwKleepClh05WeeJcqSuiDVMTrdsi/tul5qGtYrbK+R1kJ8qzw3+ueBjyycupzli2wbWVNmlJ0ug7bHOipfzdclbY4sKO3h37dr3skWHJZ1bdN2VON6h6H1li4wQdW5fjTwvt5RJiwC+D7A1Dvc1EIquWWMsKamoPt8jeaxdpI9kexfLuU5nK0vgjlnqpBjQ3Jeth5gnZU8//fTR6IeFkpKDP/C5ubni+9zc3PCykpIS5OTIH/6EhARkZWWJOt27d7e0cWhZZmYmSkpKbLdj15fG8Pl88PkafqwqKioOW1dRFEVRlOODr776CosXL0ZRUVF4HpCXl4ehQ4di4sSJ6NOnzxG1e0QJyZWmMXfuXDzwwAMt3Q1FURRFOTyakDwm3nzzTYwePRqDBg3CJZdcEn5gs3v3bhQWFmLQoEH4xz/+gYKCgpjbbtJRGDRoEEpLS+0r/pdzzjkHO3fujLkzkeTl5QE4uJOR7N69O7wsLy8Pe/bsEcvr6+tx4MABUaexNiK3cbg6kcvt+tIY06dPR3l5efizfft2m71WFEVRlGNMPHJftp05Ge655x7cfffdKCoqwqxZs3Drrbfi1ltvxaxZs/Dvf/8b99xzT1ijHitNelK2bt06/Oc//2myK+26detE2O5I6N69O/Ly8rBy5UoMHDgQwMHw3+rVq3HrrbcCAIYOHYqysjKsXbsWgwcPBgC88847CIVCGDJkSLjOr371KwQCgfBLCYWFhejduzcyMzPDdVauXInJkyeHt19YWIihQ4c2uS+N4fF44PF4DrscAEzykgqQHsMZlHqMJBfpLSiOz35HNYHoAgbW2tSSt1cq+TsluCJ0V+zTVbpD9o3SLqU75L7sptw9fXOkRm1nhXyztWOa1HyxVoW9qXpkyvpuEoukhGpE2aiT5T7ZaaJsOTZ1FI4mrYlBnnCM4ZM+bY7t60U5ROsnZHeU9VMzZINOWT9UQ2mbquUfVg6v1IXlJnNaqoi27HQw7G/nqxZlk/RsfG4EgnLsffWseZJlLxl9saaLz2uWu7COyG7/rKlyYvsFYg0c+6yxLsuyPuu6oktBLRqx32T1jdr+9H107kXsr5P6xnq9KvIP/K5UXrd7SPuZQMcuN0WeC0kk9mT9HKf8Ynjfrfq56PdMyn4Gg/Y3gT34uD6nWbLtT9tmyZIlmD9/PkpKSjBgwAA89thjOOOMMw5b/+WXX8b999+PLVu2oFevXnjooYdw0UUXHcMeA9988w2uvvrqwy6/8sor8dBDDx1R200OX15wwQW2ObwO0VRn/6qqKmza1CA23rx5M9atW4esrCx06dIFkydPxoMPPohevXqhe/fuuP/++5Gfn4/Ro0cDAE4++WSMGDECN910E5YuXYpAIICJEyfiiiuuQH5+PgDgqquuwgMPPIBx48bh7rvvxvr167Fw4UIsWLAgvN077rgD5513Hh5++GGMGjUKL774ItasWRO2zTAMw7YviqIoinJc0kJvX7700kuYOnUqli5diiFDhuDRRx9FQUEBNm7caNGLAw32VYfSPb7wwgsYPXo0Pv30U5xyyinN7H/T6datG15//fVwZiPm9ddfR9euXY+o7SZNyjZv3hxzw506dbKts2bNGgwbNixcPvQG5NixY7Fs2TJMmzYN1dXVGD9+PMrKynDOOedgxYoV8HobnoA8//zzmDhxIi644AI4HA5cdtllWLRoUXh5eno63nrrLUyYMAGDBw9G+/btMWPGDOFldtZZZ+GFF17Afffdh3vvvRe9evXC8uXLxUFuSl8URVEU5XgjLrkvj+Dty0ceeQQ33XQTbrjhBgDA0qVL8frrr+Opp57CPffcY6lvZ191rJg9ezauuuoqvPvuuxg+fLjQlK1cuRIrVqzACy+8cERtG2ZTH38pzaaiogLp6ek48J/3kJZ60F6hPqeXqFMVkoGNZKdNWiV+HZssNvxkaeE2ZYgtRCGvTaUy1JCdJOftmc6I9enUcXz1ruxLj0FR+xZKlGmF3i2WfeP0K756uX51QJY7pMoJ8ql5MhzajtIwJdHY+kx5U6ryy7Et98ntdU6TY5e0X1pMGAE5lvvby7dxssq/E2VUl4mi6ZPWAWwxgqr9oli/T74J7Ooszy1+dZ9Dii/tk2mgTu/YcHxykuV54DFkWw6/DFdawpdkn8J9+ZeUa1psEtwUs+LwZaJdTIvgdGV21jIcsuO0Rvx7xJYXdqmBOHrJ/eEQWy2Fdzlcm0ghQLvRse5PQ5nTn/F18fU+eaz318jr1kOygpxkeU/qkSm9YZLJb4THho8Fh4Z5rHhsGF4/VvsTXp+PdV09n2tkv0Ldi0wPV1lZgUE9O6G8vBxpaVJOEQ8O/SaVFBcjPT3dfoUoTJk6FampqY1mzGkMv9+PpKQk/O1vfxMRp7Fjx6KsrAz/+Mc/LOt06dIFU6dOFVKjmTNnYvny5fjPf/7TrP7HyqpVq7Bo0aJG37684447wvKnWNG3LxVFURRFaTbBYNBi/XQ4bfW+ffsQDAYbtZr6+uuvG23fzr7qWHLWWWfhrLPOinu7mhtBURRFUdowpmE0+wMAH330EdLT08Vn7ty5Lbx3xxf6pExRFEVR2jCmaQ2jHglnnnkm3nzzTfHd4RwI2rdvD6fTGZPVlJ19VWthw4YNGDVqFL7//vuY19VJWUvDlhduqVOanHiSKP+ueoMoJzjIioDa41RCrHNylUkbi0S3fEGDdVTJEa+vsz7N2T5flIOkG3Ls3yrKlZ3la8+n5sm7Qkl1dDuRNbtkGqRv91aJcrpHnt6ppKGiXUOWQ2q42GIjnW4u7gDpphKkpi2YLNMgpQflY33WXYEtNOqlNsfcL73/guVSU+bMlJqz+l02N4S+54rixq9k//pFaPIsWY1YFMxlsnphDZmjRtpz9MiU587G/dIig+06WDdkGHJ7nGaIYQ1VPel+nDHGELi6JS0S9ZctMOw0ZKyBa25GG95/br8qQq9Z6ZPXeQ3Z5nD6NNZMuegelZUor0vWiIVM3ldaDglbUFjsR2zGlstWYkvJZW+vEr2+WH6MFN8h07SMe6yYAJxOZ5O1b263G4MHD8bKlSvDmrJQKISVK1di4sSJja5jZ1/VWvD7/di6dat9xUaIeVI2duxYjBs3Dueee659ZUVRFEVRlEaYOnUqxo4di9NOOw1nnHEGHn30UVRXV4ffxrzuuuvQsWPHcAjUzr7qWPY7Gnv37j3itmOelJWXl2P48OHo2rUrbrjhBowdOxYdO3a0X1FRFEVRlFaHieY/lDuS9S+//HLs3bsXM2bMQElJCQYOHIgVK1aExfzbtm2DI+JJa1Psq44FCxcuxMCBAw/7VLCqqqrR75tCzJOy5cuXY+/evXj22WfxzDPPYObMmRg+fDjGjRuHSy65JOyaryiKoihK6ydkNiFrhw1HGv2cOHHiYcOV7777ruW7MWPGYMyYMUe2sThxwgknYMqUKbjmmmsaXb5u3bpwlqFYOSJNWXZ2NqZOnYqpU6fi008/xdNPP41rr70WKSkpuOaaa3DbbbehV69e9g0pFp8xZ22ZKC8qWyPK9aSvMFkzRloeNvQLuaWuKsG3RZQ7ZclT4ptSqWuKTMPkcsu6wVSpaXJWyryk8KaIYhVpU/IM+ddFRnL00zP7BKnZ+mCb1JiV1kl9HaeQYu2J6ZaasQCip/Kpd8v9SQjKsTL8UqPmJB2VWSc1ZfV7pGaMNWKB7d+IsiNDLnektxdlZHcWxRBp3EDpYvIzpF9UWW2DlshIl5ouPq9MassieaIUVMGUbFHuGiSfs/byPP16n9SYpbrleW7REZHGLdbfC+7/b9rJv8RnlX0p69N42HpZBaNrzLg902YPLN5dNqKzA3VSUFlaK6+VmghNmYsEdpw2iWEPufZJ8g/1dE9sf7jzj32QRWWO6CmwWF4Y4rHltEe8PYsIjPWA0Y+NXfvWtEtmo/9XWg+nnXYa1q5de9hJmWEYTc6AxDRL6F9cXIzCwkIUFhbC6XTioosuwhdffIE+ffpg3rx5mDJlSnOaVxRFURTlKGOa5hFPItoiDz/8cNT83gMGDEAodGRZTWOelAUCAbz66qt4+umn8dZbb6F///6YPHkyrrrqqnB89ZVXXsGNN96okzJFURRFaeWYLRi+PB45mhYcMU/KOnTogFAohCuvvBIff/wxBg4caKkzbNgwZGRkxKF7bQ8jUEdlCoGl0SFj6wFKZeQgi4ygQ4YOQm4ZsnLUyRAgIJdHpiwJ8KvoHDKitkOuJFFm24KtPhmyqqM4RZc0skUgT4shHaXo8j+7ZTiUU9OkuckWgMKVHn+lKFc5ZbgyxXdAlJEg+2fslmmUTBeFAH3yWDvTZXjRJEsM94mnyvbJQqO+XTdRPkDHjskKymPNYabI8G+s99uQR45VrUPahVgsKyjdV7caadXSsXt3US78vkyUUyiUXk+XBUfz+AeElzvoi/sPyHClXXiQU+1Y0jrF+AvI2zPoiJC7C+a2l+HWSbs+F+V9lAopySUHLDJ8WUeWF5w2iS0yMhPlseSUWXZ2I1aLiegpsRxm9FCvJdrJ4UybJFQcLjXZg8MG+3AlL2/8/0eTeAj92zpVVVWWp2NHkhor5knZggULMGbMmKiJuDMyMo4oibmiKIqiKMrxwObNmzFx4kS8++67qKtr+CPbNE0YhoFgkP9csifmSdm1114b80YURVEURWmdxOXty/h05bjimmuugWmaeOqpp5Cbm2t5QedIUEd/RVEURWnDxEPo3xZfFPjPf/6DtWvXonfv3nFrUydlLYHhaEhLQzYKLCJwVEvdkukinVZihmyarAe4fYPrmyyYkGXWc/gj/pzyk7jD45aasfqkTFHm1DqspcjwSl1LcZWscaBW7hungOJ0LqyR2l8j9XWJpAEL0P64yD7EzyI6wkyQlhqhGqlJc6ZmyBXyeogiH+vADqlJY81ZfVZXUS4JSknB3mq5v9lkMWJ6UkW5b47cvy/3NGjy+FgzbtI23pEyUJQnl0hNU06S7IuX9HEOOs9d++RY9MvpIsrFVXQdQfbHkvaIdUlsLUNlF2eRivEPYtaYMfwXNrf/YGZfUZ6+bz21INu/c/cXolxWJ68d1pDxtROpqasJkJ0J7UoSDQ5ryry03E7fxxIvXmy1yLA5mM2EJxs2t4FG1o++nO+xkbvT3KdXTSUE6/1Ysef000/H9u3bdVKmKIqiKIrSkvzpT3/CLbfcgp07d+KUU06xmOf3798/5jZ1UqYoiqIobRjTbP6bnm0veHkwx+V3330XztUJNBjHHjOhv6IoiqIoPxxCUKH/kXDjjTfi1FNPxV/+8hcV+v9QMOpZU0aarlqZfsbhYo0ZWZOQV5ijTuqa6r0Z0ftDqYGCIakTC0TRlJmkC6qj08tLGrOqGrmvnZJl3z+tlI7JpeSPxN5PLCVh/yQvrc/aGPYxS/FJDVw7OjYWvR95ypmkswplk4asljzhSJOW0HOAKAdIQ+ao3i/KOWlyAMp9sszHK2DI49NRSszwzf6G8dpHer4sr1w35JTl31R8Jcr7a+VfjJV+OZZ8LNJI+2im5opyCgl7Uj3UH/6JoNQ4D+f2E+Vpe6UGK5HOFdaUuclsyxmS+r3qkDz27HVFzVu8u1x0MvN48rnN42enAWTfs2JKnRSpEyv3RdejsQ9ZKnnG8basWYuiHyv+nWOPNssPYYz6PTui+Ygd3BzdB3n9ZmjQ2qB2/rhi69atePXVV3HCCSfErU0bGz9FURRFUX7IHHr7sjmftvio7Mc//jH+85//xLVNfVKmKIqiKG2YeLx92QbnZLj44osxZcoUfPHFF+jXr59F6P+zn/0s5jZ1UtYSGEb4mbxBaZAYR7JM02BWy5Caw0U2DBQiNCh8meCriLo9tnUI+OSlapoND1f5VXS/Q4YxrO+yy7a6hmT47+vyLFFOpxBZaa0cK07/4qMYkccmn8vOChmyyU6W/c/2Ulonsshw7P1elsl+xCQLDKNqr2wvWVpcYLtM5VPWe7gopzrlgNZndJTbs1gFUIotqsDh2mSK0Z3cvmF/K8h+JMUl1/XVR7+lc7iOQ88cjuNQuJ/Cn9x3N6VtctikzuFwpd25wmmhjKA8d4JOed0E6VxMTJDrc6oiDo86KXzJ11o5XZeV/ughRg5BHqBriUNw+yOkBV4aGx4rDle6OIUWYXGw4OUUznTSseTbCo+NySmpuDsxxgRjDVdyqNoSSrchsn6s6x4p8RD6t0VuueUWAMDs2bMty1ToryiKoiiKcozgXJfxQCdliqIoitKGCZmm5QlgrLRFR/+jgU7KFEVRFKWN09wpVVuckjUWtoxkxowZMbepk7KWhtMcUZqkkFf6FBh10iLDqJA6pds7j4q6ucU73pRfVJfJMlkPVPllTDwtwnrgwXaniGWzy6QmKt0p94UtIBylO0S5Y0e57R1SDodTsmXqnU2lUtez4hs5FoluqavpnintPRj+Q8/nlmPv4lfz3dKOpD49X5QdZJFhVO4RZSdpzL7ufL4oZ5JWpp7UNyYtP0C6K9YlVdSxLkyOTwpJAj0ROqhQHWnISDjDGjE3bbuKNGNsk8DnWS1prliHtKiDdMqeslumcWIdEVtc2FlQJFCZ05eZTjlYfhYSEXws2LKCLUK+L60TZbZ7yaJURjUBOX5f7a0SZR7vQDC6pUakfQzr39h+xGFjMcFaRiusB5RY1rZJw8TbY8cNO2KdXNhZXlg1adGXt4QlRjwSkrdFXnnlFVEOBALYvHkzEhIS0LNnT52UKYqiKIqiHAs+++wzy3cVFRW4/vrr8fOf//yI2lSfMkVRFEVpwxx6+7K5HwVIS0vDAw88gPvvv/+I1tcnZYqiKIrShgnBbLb9hs7JGigvL0d5ebl9xUbQSVlL4HAc/AAWDZlBGjPWrpjkexKqLBPlJd//Xdb3SG8txnDIh6XsaxYIpohyfYTwYHKJ1PGwTibolt5NhltqukJZnWV9uqpZB8ScnCrHqoh0Nt0ypAaNYR1UgpRYoZp0UOXk1XWCS7bv3LdZlIM5PUU5tKVElP0DLhLl2v1SI1dNOqv+WXI8Pt4jzx32h0oj7Q/rjsrqonvosP+TXCbLVeSb5SZfrgM10heLdUrcN/bZctF5OmFXdBdt9i1jHzBOtWO1sqJ95xRe5JPGaaT2kw/YzgrWiMkGOQUYL99SLvWJG9m3jLb37W6pKeuUKc/V9CR5rfC5Eqmx89CFYefpxtj5fFnjNXLf2fasOWmLmoLd5MTOA685vmSAHJ/mvhGpHF0WLVokyqZpori4GM8++yxGjhx5RG3qpExRFEVR2jAafjwyFixYIMoOhwPZ2dkYO3Yspk+ffkRt6qRMURRFUdow8Xj7si3O6TZv3mxfKUZ0UqYoiqIobZi4PClri7Oyo4BOyloA05EA03Fw6C3+RwYJLGj5xIHjRXnRh/NEmTVpIdKkMbf1vlqUf//ti1RDasoitT8hk7yfSAdTQZqoxASpb6sMSp+vpOhSDSSVSB+0Q2N4iFNypEaN8/1lJcr6rFv6dr/U7bCX0+B86VsWyD5BlB11JOzc8KHsb/8LRfnf26V+b0+1zJ15RieZ93R7rRygHply/N78dp8oj+zVXpTX75Hts59TXoo8PrURw8e5Eu00YVV+9uGSy3nbnDuTzyUfpUvOdEpNFPuM8fqsIbs/vY8ozyn/ivoniqijc53PFfZt4/FgWCvEx57ZXiq3t6dS6g/9NH4ppBFjnzQuu0gnlhBRZr0bS8p4XzhXJS9nPSJ7sPFvO2uuHGZsmi47n7BYCXJ/bO5bsfiSKYpOyhRFURSlDROfty91dhkPdFKmKIqiKG2YeIQvdUoWH1r9pKxbt27YunWr5fvbbrsNS5Yswfnnn4/33ntPLLv55puxdOnScHnbtm249dZb8a9//QspKSkYO3Ys5s6di4SEht1/9913MXXqVHz55Zfo3Lkz7rvvPlx//fWi3SVLlmD+/PkoKSnBgAED8Nhjj+GMM86IfacMx8EPrCE4hlMTPfK3iXJ5SoYohxLTaVsUxgnKMNTCSmktYG6TDsX76mT9SFLcsu8Bivn4gzI86HSw7YGMg9TTc/52iXJ9f2pf2TeyIehO/ft6P1la1Mlw5rZyaVPA4cxTcmToNjdBhpi2VckQWoeUTFFO7HKy7NC+70XxzE5y+bOfS8uM/WQj0TdbWopsq5D9Ob97liiz5cXPTpDnxqpdNaK8q0puLzni+HAIqpjCZxzi4nAlhxf5XOFwKB8Ltojgc4ftUzzko8Dn1v0HZCi8lsJ/ljLZo/D+pnpkf7eVy/3nUPp+ClfW+qOHOzlcybh5/CjFGC+3hC8dh7fo4GXxhs8tztpkUrgyZJM3icOjlvClzfTB4oZis/sc6razzGCihXdtsnfFjfgkJI9TZ9o4rd7R/5NPPkFxcXH4U1hYCAAYM2ZMuM5NN90k6syb16CzCgaDGDVqFPx+P1atWoVnnnkGy5YtEzmpNm/ejFGjRmHYsGFYt24dJk+ejF/+8pf45z//Ga7z0ksvYerUqZg5cyY+/fRTDBgwAAUFBdizR+YzVBRFURRFORJa/aQsOzsbeXl54c9rr72Gnj174rzzzgvXSUpKEnXS0hoE0m+99Ra++uorPPfccxg4cCBGjhyJOXPmYMmSJfD7D/61unTpUnTv3h0PP/wwTj75ZEycOBG/+MUvhAfJI488gptuugk33HAD+vTpg6VLlyIpKQlPPfXUsRsMRVEURYkzodDBp3LN+eiDsvjQ6idlkfj9fjz33HO48cYbxdtUzz//PNq3b49TTjkF06dPR01NQ1imqKgI/fr1Q25ubvi7goICVFRU4MsvvwzXGT58uNhWQUEBioqKwttdu3atqONwODB8+PBwncbw+XyoqKgQH0VRFEVpTRz0KTOb9dHwZXxo9ZqySJYvX46ysjKh9brqqqvQtWtX5Ofn4/PPP8fdd9+NjRs34u9/P5huqKSkREzIAITLJSUlUetUVFSgtrYWpaWlCAaDjdb5+uuvD9vfuXPn4oEHHrAuiNCUWRYFpdbE/73UvjjbdRBli0XGgY9EmTVphq9alkmDZqbLfdy0XaZrQXaDzspON5RKr+VneqUGi/US3iSpg0ly0qv2VdLyIc8v92WLu5Mo98+RGqx3t8qx2F4mbQYyKU1Tz0y5/ge75f52TZf199ZQ2qNkqXLL9e8W5Sq/HIDrB+SJ8j+/KxXlPu1lqhzWUXE6mt3VUod0Qpq00BjcQWrmtpbLcy8ynU6HVJkya0cFaZzqo2uu6mh5KmmeGNaYcdqkFDfpEUnYU0s/EHOypB5x+r71ojy3/SmifNO2daLso/RmrImrq5X7x/vLFh2s6eKUVpWkf3STDwXXt7O8sGrIDm+BcXB5Q33W83GZibcOii0lYn2SwPYrdhYddthlmbJaZhxdTd4PnS1btmDOnDl45513UFJSgvz8fFxzzTX41a9+Bbf78JZPTdGbt0aOq0nZk08+iZEjRyI/Pz/83fjxDZOSfv36oUOHDrjgggvw3XffoWfPno01c8yYPn06pk6dGi5XVFSgc+fOUdZQFEVRlGNL0DQtk9dYOVqWGF9//TVCoRD+8Ic/4IQTTsD69etx0003obq6Gr/73e+irnvTTTdh9uzZ4XJSUlKU2q2D42ZStnXrVrz99tvhJ2CHY8iQIQCATZs2oWfPnsjLy8PHH38s6uzeffCJRV5eXvjfQ99F1klLS0NiYiKcTiecTmejdQ610Rgejwcej+ewyxVFURSlpWnNb1+OGDECI0aMCJd79OiBjRs34vHHH7edlB3Smx9PHDeasqeffho5OTkYNWpU1Hrr1q0DAHTocDDMN3ToUHzxxRfiLcnCwkKkpaWhT58+4TorV64U7RQWFmLo0KEAALfbjcGDB4s6oVAIK1euDNdRFEVRlOORoBkHof8x1JSVl5cjKyvLtl40vXlr5bh4UhYKhfD0009j7Nixwlvsu+++wwsvvICLLroI7dq1w+eff44pU6bg3HPPRf/+/QEAF154Ifr06YNrr70W8+bNQ0lJCe677z5MmDAh/BTrlltuweLFizFt2jTceOONeOedd/DXv/4Vr7/+enhbU6dOxdixY3HaaafhjDPOwKOPPorq6mrccMMNMe+PaRjhdEqcFgnVZVHXTegutS+L9q8SZdaQWbRrCVIHZfjlSWq6pG5pT6VsLy+9QZfkq2fvKPYlYx0Q6YikbAZ1QdlX9kErc7cT5Sy3fBSd55L1y31ybId3zxDlyo4yjdEfP94uyr3bS83Vue2lrmjlbjl23TPl2NXWy7tUelq+KG/fKzVt2elyQDwJcrxK6zhtlRyvA6RD6pgmn9JukxI8JLnk+GR55faygw2aNhd5sLHGaSvp85Kcsi1OWWXnQ+ZJiK7DOUAedexDxhq0ySWfi7JFz7flU1HeQ3o89qJiKsjPj9Ms8frsS8Y+Ygl07XCZ95eX22nKWPPHelBOuxRJrE9UYtVUWdIQ8fZjXJ/7y3rAWMN2IZs0T4x9GqYfjgYtGAxaXmiLd8Ro06ZNeOyxx2yfktnpzVsrx8Wk7O2338a2bdtw4403iu/dbjfefvvt8ASpc+fOuOyyy3DfffeF6zidTrz22mu49dZbMXToUCQnJ2Ps2LEizty9e3e8/vrrmDJlChYuXIhOnTrhT3/6EwoKCsJ1Lr/8cuzduxczZsxASUkJBg4ciBUrVljE/4qiKIpyPBGX8CVMfPTRR0hPly+PzZw5E7NmzbLUv+eee/DQQw9FbXPDhg046aSTwuWdO3dixIgRGDNmDG666aao67ZmvXk0jotJ2YUXXgizkROmc+fOlrcrGqNr16544403otY5//zz8dlnn0WtM3HiREycODFqHUVRFEU5noiP0B8488wz8eabb4rvD/eU7M4777RkzWF69OgR/v+uXbswbNgwnHXWWXjiiSdi7h/rzVsrx8Wk7AeHw3nwA2BihwuiVv39d38T5aBXhtwcdZVyhZAMYZkuGeKb2OViUX6s5F+izJYc/Cr/tv0NIbtsCo/VUYiKLTN2Vsi0Rr3bJ4tyGqWq2Vcr98VH4UB3oty3bygc2CtLWkBwCCnPJfc1xSsvhy0UkjsjW4YzAyG5P9UUEsukNFHbKwK0XG6vJkH2NytRbr+KUv2c6JbtbZe7g70UQuueIdvncGfnVAptVze0H5KLLOGzk9rLY8HhxXZJ1ADBvwd+tpygfQ+EZJktHvaRPUkNrc/2IRwy4nOXw5lMOaXESqRQfTKF4rOS5av8fhtfBj9ZbHCZw5McDuUyhyt5/UgsT1BCZOfBAcbobieWseZdd9isbzd34MkFt8/njp0lBkdy7Z4oWfbPxpKD8ThtBuAoYJpW65EjacPpdArz9mhkZ2cjOzu7SXV37tyJYcOGYfDgwXj66afhcMQuh2e9eWvluBH6K4qiKIrStti5cyfOP/98dOnSBb/73e+wd+9elJSUhH1GD9U56aSTwk4L3333HebMmYO1a9diy5YtePXVV3HdddcJvXlrRZ+UKYqiKEobJhgyLYbEsdKYxCgeFBYWYtOmTdi0aRM6dZIG4Ye2GQgEsHHjxvDblU3Rm7dWdFKmKIqiKG2Y+Aj9jw7XX3+9rfasW7duYlLYVL15a0QnZS1BRJqlJV8uE4sm9L1elIMp7eW6Ial1AVlqmKRLMkhjtmTzcrm+X6ZRCpEG7aweUve1cuPe8P+zUqQu5kCVFDWVkc6G/xJjrYWPdDLppPHqkSn3rbiKPDWILWWyP2xT0KudbO/OU6RGbu466SERPFkeixOyZPR//R45lp2Csj1+FZ/TOrFNA2tLHJBalRBZgpyaJTVun5fK+lmkYdtWLvcvL1n2x/Smhv//fals+4vdcl9Py5dvXBVXSQ0Wb5t1PKzZYksGttDgY+mh+vwDw/XZwqKalleR3q64TO5/Kp2bfC2whos1bKzVZCVJehKnJGOdVPQyb99L4+OwSfMkLUxoXUPWZT0fjz3vq50FBC+3c4jguQRfZ6whi9USgy0wbNNM2UxPLGmezMOPZ3MnSsrxh07KFEVRFKUNEzTtvfjs0PljfNBJmaIoiqK0YVpz+LKtoZMyRVEURWnDxEPor6HW+KCTshbANBwNaZbcUtfEaZMQZN0Uacoc8hCyhswISC0Ma9DYcyiUmiPK53mkXuSrkgZftBSP3DZ7Jx2olpou9m76bGuZKO88QL5gXWVqH067xBo0LvPZ3SlN6n4KvysV5eE9ZBqnqwaSnxHddHomybHeSDqdb/fLNEztkuT2AyHW1JHuirU5tHusQUsjDVqqR65f7pPnTk/S6LE3l9PToFk7UCv98OrqZd19NfJYWzVd0c2gWENW5auPWrZoyigllYc0Vfupf+W1UlO2dX/0nHipdK7zuWz1AYuu4WI8drl4YiRE51a0tElAI6mIxPrkCWej3+N7CmvQrHq66Nj91jdXQ2Y/F2neZMNue9G0tjrRaXvopExRFEVR2jDxCF8q8UEnZYqiKIrShgnFQejf3IwAykF0UtYSOBIA58GhD6bny2VOGeIyOTzJ4UfyFpjYsUCUOU2T6aRX7VNlmgsjIEOIOfUy/HnNoI7h/2/YKy0VOGRkZyPwzW4ZEqsimwK2BaigEFYfSnvEIS22UdhRIUNYPbMSRXltsbR56JMtLSc2k8VGXjJZXlDaJR4PTjPFf5mmc4iM+p9FFhopFEJLTZbbq/aT7QOFO90J0W0RSiIsTrivWYluqistLbjvpRQu5L7voVC3NVWOLGd45Vhw/9jy4utiea5xWiNuv11ydIsLPjfdFNJzkQcGh+zsbBUsaaAcsa0fayoga+qjw6/P4UiOvNpZXNhZZNilcbKzlOBwJdfnXQvQuWAZC1kdoWbmwbHTboVE+LJ522oq8UpIrjQfTbOkKIqiKIrSCtAnZYqiKIrShgmFTMvLITGjD8rigk7KFEVRFKUNEw/z2OjvVytNRSdlLUFEmqVQkrR9YA2Zo65crktx/0PWGoewaMioPdMlbRDYUsNZXizKoUSZPqfX/k8b/p8q+74zv6con90lQ5Q/I11PDVkwdMiQfeO0TSmkSeNUPpxqh7UhrDFbs0uOLb9KzxqLTNIxMWd1ShPlOrrLldfJ/d1SJm0YviyR48Ope6r8rG6RJCZIjVz3DLn+3lqpyePj0SFFauTq2GIkCqyfY3sSXs77whqvrfvk2CSRBq3WZizY4oJ1TKwB85D1C59rlrRFZMHBGjC2xIgVOw2Zi5Y7bSw17HRMvH40zZpVoxWbRox/vi0aLtu0R6w3jL6crWfsxoLr87ENxTh7sdP/KUokOilTFEVRlDZMCHEQ+mv4Mi7opExRFEVR2jBB07R9QmmHvn0ZH3RSpiiKoihtmHgI/fVJWXzQSVlLEKEpqw5JbUqy6W9sjQYcsr6jpkIupzRLrFkD+ZRxGibDJ726jASpS4rcvj+3t1jkq5DeUF1T5ba6pmSIMmvAfCQOuaBne1F+d/N+UWbvq0zy8dpZKfcth7ynzu8ux+ZvX5TI9UkLwhqrKr8c6ySX9DVzkxiFfcHaU9qlYbS/28ulZ1wdjc+2crl/rF3pSGmlqnyULod0RB/vKBPlk3NSw/9nHQ77cHEapGryjGPNkp0mjDVorD/cUSrHhjVfrBnj5QnUHzsNGadVsmjIbNIYMbx+rPB48rG06Jhk921DVZH7w8febl3bJy6sMXPYtGejGbPbnl3/WSJm3b/masJi84xT2jY6KVMURVGUNkw8HP31SVl80EmZoiiKorRh1NG/9aCTMkVRFEVpw8RH6K/EA52UtQCmw2nxDzscRj1pzEJBWi69ukLeVFFmDRn7mnEuTdMvdUpmhvS+Qm1DvsuN+2VdS845ukzTSJfTJydZlLeUyvY4l+Wo3jmivHGfzL3ZMVX6nLGPmZd0QhvJC6tLptSE7a2W628tlfU709jsq2GNmzzGlaS7Yg3cdwdk+wmkUwrReFTVy/Y27pN6QF9Q7k+nNOlDxuEK1imVRGjycsjDLBSQK7PejTVjftbj1cm+cy7JYtLLBclDzulonoaMl/O+W8rN1P3YacjsfMksuTBtcley5o813E7w+nK58FkjPRr7+fF1b2nM7uc6xH1tns+YpfmYNWTRl9vl9rRo2Gw94HQ6ozSgkzJFURRFacMEQ7FPdhlTRWVxQSdliqIoitKGCYbMZk/Kmps6UzmITspaAsM4+AHgpkfbhq+2sTUa4HAjp1FKoDRKDKVZMmpKZTlJplXicGlkeDOTbAQ4hFVPrgfVAQpxBaKnNUpxy/Y5FU+qRy73BcmGgaIE6R6KwxBJLhnSsrNt2F4mjxX7/HROl+HNPtmy/O/t0s6ktE6GP8vI8oNDgHb9Y8uQunoZ2q6lcGh2sgxRRoZvOdS6t0aG1b/fI0PJ3HaHdHne1dNYfbtbhl79dPK4Ka2RxaLCJs2QXXjyWMOhadvwpk040y7cGnP7jmjL2P6jeeFM1jLxj3uArnu7twR5X+3ClbGmoIoVS/sW9xRKMxVq/P9K20AnZYqiKIrShonHkzKNXsYHnZQpiqIoShsmFJdJmc7K4oFOyhRFURSlDaNPyloPOilrAUxHQlgL5qonDZkRPV2LwWmUEqUGzEyQuiBQmiSTLDIsaZmoPSMotUNmhJ6k3Bdd05TiJvsNWp5NNgjJLqkT2kq2CJyW6QBppnpkSs3U7irZ9y9I95RE2ysnAcdJOSmi/NmOclFmGwfWrnAapr01stye1t9MlhvlNdE1Zbx91lkx35BlBpNBurHkCE0f2xJwXzJ4LKpk/T2V0l6E12fLC1sNmUXn1LpT1bDlRaxpmuwsMOx23y6VD28+sr7LwfYh0duuMuV9gX/so981mm+JwRYUTKxpo8C6LpuMWnwuWvbfVmOmtGV0UqYoiqIobZigGYe3L9VvLS7opExRFEVR2jAavmw96KRMURRFUdow8ZmU6awsHuikrCUwHGHtmKNOelWZHqljMslXjMsW3zKn1JBZNh2UOiXL+qRJM3ZtluUOPcP/Z83YnmrZNms1EskHrJI0V6wT4rRAfk7jRO3/vy93i7JdKh3WbHHqH75J5WXIsef6TIdU2X/evwyv1GF1pzRPrLtiePusu+qUJvubQz5k5ZT2acOeSlFul9xwLrlsdDKV1Bf2lLPTkFnSJvGxi1FDxmmVmOb+ANkRa1qkWNMq2fmSRfMdawzr9hvKdhoyTl/GPmVVQbquYkxzZKshY58zOyMzG+z0d9yfePuYRe5Pc5OEK8cfrVpiOGvWLBiGIT4nnXRSeHldXR0mTJiAdu3aISUlBZdddhl275Y/zNu2bcOoUaOQlJSEnJwc3HXXXainnIHvvvsuBg0aBI/HgxNOOAHLli2z9GXJkiXo1q0bvF4vhgwZgo8//vio7LOiKIqiHEsOPSlrzkcd/eNDq56UAUDfvn1RXFwc/nz44YfhZVOmTMH//d//4eWXX8Z7772HXbt24dJLLw0vDwaDGDVqFPx+P1atWoVnnnkGy5Ytw4wZM8J1Nm/ejFGjRmHYsGFYt24dJk+ejF/+8pf45z//Ga7z0ksvYerUqZg5cyY+/fRTDBgwAAUFBdizZ8+xGQRFURRFOUqE4jAp04d68aHVhy8TEhKQl5dn+b68vBxPPvkkXnjhBfz4xz8GADz99NM4+eST8dFHH+HMM8/EW2+9ha+++gpvv/02cnNzMXDgQMyZMwd33303Zs2aBbfbjaVLl6J79+54+OGHAQAnn3wyPvzwQyxYsAAFBQUAgEceeQQ33XQTbrjhBgDA0qVL8frrr+Opp57CPffcE/M+mYYB87+PyI16aRUQTMmWldkig8KNbJFhuTIcZJPgl7YQpkuGzLh9UJipvl2P8P8TauXL7Ry2yEmObtHAZ18yhUHcFMPh8GenVBn+c1H9T4tlaJhTAfXKlaHiFEobZZfGKIfCk16K8+yjVEQMh2dPyUkW5SoKL3IaK4bDKB6ylUilNFNs2dE5Q6aBqolIlbSnWu6LXajXLq2R0xE9TZKb0xA1M01SvENOjCUcaWOBEev2ub7d6rGGK6PBpx3fUrgtvg55eR2l0GLLC7uUUHbEGh7l0DwTq2WG3bHl9mI5Fm2Vbt26YevWreK7uXPnRv39raurw5133okXX3wRPp8PBQUF+P3vf4/c3Nyj3d1m0eqflH377bfIz89Hjx49cPXVV2Pbtm0AgLVr1yIQCGD48OHhuieddBK6dOmCoqIiAEBRURH69esnDkJBQQEqKirw5ZdfhutEtnGozqE2/H4/1q5dK+o4HA4MHz48XOdw+Hw+VFRUiI+iKIqitCbqQ2azP0db6D979mwRNZs0aVLU+naRtNZKq35SNmTIECxbtgy9e/dGcXExHnjgAfzoRz/C+vXrUVJSArfbjYyMDLFObm4uSkpKAAAlJSWWWfGhsl2diooK1NbWorS0FMFgsNE6X3/9ddT+z507Fw888EDM+60oiqIox4p4vH15tDVlqampjUbNGqMpkbTWSqt+UjZy5EiMGTMG/fv3R0FBAd544w2UlZXhr3/9a0t3rUlMnz4d5eXl4c/27dtbukuKoiiKIoiH0N88yuaxv/3tb9GuXTuceuqpmD9/vuWFvUiaEklrrbTqJ2VMRkYGTjzxRGzatAk/+clP4Pf7UVZWJp6W7d69OzybzsvLs7wleejtzMg6/Mbm7t27kZaWhsTERDidTjidzkbr2M3aPR4PPB6P5fvIv0pcpOHymXKebJ01k9bGKdt3UIoTgzVo9ZQ2yUW2DRX08kJWB1Gsj3Lddc2QbW0tk3q5LErjk5UoxSm1ZJvACirK5IOUQJkoD8rNFOXB2dIeZFNFO1F+7tMdotwzW2q6tu6TaY9qA3JsWVOWlSK35yVNVw2tv7NCppGyY+t+2R+2jUgjiw0faXf2kQUIa3mYUMRy3nfGY2M/whqxWDVobHFRT+vbWWDY6XzsUuEEKTTjoqRhVt1RjJoxm7RLzZXARbO8sMOS9ohOBdav2dmXcHv1JFrjn9oE1hdS11lDxu3ZEbRJWRWr5uto2620ZoLBoEWmc7jfwVi4/fbbMWjQIGRlZWHVqlWYPn06iouL8cgjjzRavymRtNZKq35SxlRVVeG7775Dhw4dMHjwYLhcLqxcuTK8fOPGjdi2bRuGDh0KABg6dCi++OIL8ZZkYWEh0tLS0KdPn3CdyDYO1TnUhtvtxuDBg0WdUCiElStXhusoiqIoyvFK0DSb/TFN4KOPPkJ6err4zJ07t9Ft3nPPPRbLK/4ckghNnToV559/Pvr3749bbrkFDz/8MB577DH4fL5G2z6eadVPyv73f/8XF198Mbp27Ypdu3Zh5syZcDqduPLKK5Geno5x48Zh6tSpyMrKQlpaGiZNmoShQ4eG48UXXngh+vTpg2uvvRbz5s1DSUkJ7rvvPkyYMCE8c7/llluwePFiTJs2DTfeeCPeeecd/PWvf8Xrr78e7sfUqVMxduxYnHbaaTjjjDPw6KOPorq6Ovw2pqIoiqIcr4TikfvSNHHmmWfizTffFN8f7inZnXfeieuvvz5qmz169Gj0+yFDhqC+vh5btmxB7969Lcvz8vJsI2mtlVY9KduxYweuvPJK7N+/H9nZ2TjnnHPw0UcfITv7oG3EggUL4HA4cNlll4lXXg/hdDrx2muv4dZbb8XQoUORnJyMsWPHYvbs2eE63bt3x+uvv44pU6Zg4cKF6NSpE/70pz+F7TAA4PLLL8fevXsxY8YMlJSUYODAgVixYkWrf7VWURRFUeyIV+5Lp9OJtLS0JtXPzs4O/5bHyrp16+BwOJCTk9Po8shI2mWXXQbAGklrrRimJqw6ZlRUVCA9PR07ikvCJ663SmrVyrzyJLPTTyS7okegWQ7hrC2TywNS1+SskPH2+oxOorw/oUG3xdcwd6WWBGichimDfMESWJtik0qmvUuqT4xArWyAPN5CH/+fKG8ZMEaU/7X5gCizluSrXVIr0SlL+npxf9slSY1ZgLQu7CPGvmGs49pbIR/V8/bYZ619stx+iif632DsMxepgaumvtn5lNmVfaQfjFUTZvcDYu+TRpo39sijMqewclFaKE41xBo79sLiY8/L2euLz33WuPFyXp/7a6eTitR98bYYbpsp98nrnrWNfJ7H6ntmSbNk0QNG7Z5VD9lMTVlzUyO1j7hvVFdWYtSpPVBeXt7kyU4sHPpNuubJ9+BOSm1WW0VPP4SfDuiCefPmxal3/223qAirV6/GsGHDkJqaiqKiIkyZMgUjR47EM888AwDYuXMnLrjgAvz5z3/GGWecAQC49dZb8cYbb2DZsmXhSBoArFq1Kq79izet+kmZoiiKoihHl7g8KYtTXxiPx4MXX3wRs2bNgs/nQ/fu3TFlyhRMnTo1XCcQCGDjxo2oqWl4GcouktZa0UmZoiiKorRhDk7KYntrlTlaQbdBgwbho48+ilqnW7dulu17vV4sWbIES5YsOSr9OlropKwFCJkNob9QYoZYxn+tWKwE6Fm8n0Jillf/OeuSS4bcHHWVsv1UqZMLJUsbiVBdw/Y4DRKHpDwJcnmaN3raJUuqGlrO4dEg2YE4KVxpUEopV69TRTmRwhZ7K8nCgywu+NhwGiYuc30OgXFY5QClMmILjP1Vsn8cdslLl8fWT8cjmyw87NLLBCJu0nahUruxae5f4Xbhx1gtNuzClVyOFQ6h2XlacP84JNjckJgdbGsRijh8HNa2rGuQXYhN6NUqyYhuP2KxATLiOxY8tnaWHozduW0XPo02HnahY+WHh07KFEVRFKUNEx9Hf51AxgOdlCmKoihKGyZeb18qzUcnZYqiKIrShgn+N6l4c9AnZfFBJ2UtgGmaYVFiMMErlvlrpdVAuie6doavI38guljT6aa0TE6Zmqc+TRrr8YUaqT3xB1n/Jvt6oE7qipJIFMaqHV7faokh6/Ob6gFDns4up9SEsUVGImneWPPldUbXGbFmi9e3s6BgG4UssrDg9mv90W0ouD7D1gMu6p9d2qVIeCzs/sq261usmjC79ZlYLTLsNF52Ng12WG0XotePtf3YUwNROeIH1u7HlnVPjlCMlhY2xy7ACdcc0S0sGDtbIYuFBltyUHuWsaUbWYCsgOzSPoWam0NL+UGhkzJFURRFacMEQyYcGr5sFeikTFEURVHaMEFTJ2WtBZ2UKYqiKEobJi5Pyo6afWzbQidlLUCkT5mdjscRlClJHEZ0ryuWlFnSsZC2J5Asfclc1F4p6cIiva3YrI+qWnzAWIOW4o6emobr81gFTRuzwwTp25VAWpByn1yfUwe1s9F4ZSRJtYlF40VakmSXPHZ11B4fK9aodW2XLMqV1N8qnyyXUTqbWHVU0Zaxxqq53lE8tna+YnbYadTsfMnsNGTW/ZfbTyA94tFO1RPv9iO9yfi649PEkubILi0Tjw01yL5o7M2IOGvM4g3vv51PWfMc8ZQfGjopUxRFUZQ2TDyelDVzdeW/6KRMURRFUdowobj4lOmsLB7opKyFOHT6xvo2tGHzOjlfGOW+IC2X7XEqpP0U/0ygDlb5G5aHbDQEbCnBaX189Oo4h8DYjqOa+sZhCE5JxRYcocR0Ua6lkBmHsOzSrXDIzc4yI5UsKCpqZXgx2S2Xc3vpFC7l9oMhGe7kY2et33QbCR4LhsNnlvRgMYYTo/WlsTIT6/bswpV2qYI4BMfL7fprPRTRU//YEWv4k+tHptiynCeWFFe82Iy6nMeGxz4QlPcsS99IJsHhTKdNeNSytsVmiPvP+4+oy+3as24/6mKljaGTMkVRFEVpw5ghE2Zz44/6oCwu6KRMURRFUdowoZBpa+Jrh4Yv44NOyhRFURSlDROZZeaI24hTX9o6OilrASItMdxmPS0lvYaDbBdIF2SXr4z1DqzLCppG9OW0fqRWiK/hBClpQh2JSVhjxq/aV/ktYhEBW2SwVMTpkMt9NFZmqkwhVbW7WpRZs8UWFWzZwWPDlhqsI2ruX6LcHltmZKfJFFp2qY1iwZJKh7WNFhuA+O5rrBo0O01ZrBoy1kOyTsmy3G79WNMgsbWNzfpsK2GnXQ2QsClyfT62Ttjp42LTVPF1xfXZOsbSPtsA0akRq+WERRNG9xV25LBa9cS4Qd5+xPoqN2t76KRMURRFUdowqilrPeikTFEURVHaMKopaz3opExRFEVR2jCmCdglSLFvJC5dafPopKyVwVoR1lnxdcN6BtauJJJXV0Ud+5ZJXVJZLaXu8cty+6SG1ENeF/t6kebK4n0U3YeMsh6BZTOctoj9j7g+j+W2Cp8obymtpfbYD4nSQnmjXy61dKws7VGZfcm8CeyzJjVifCycKbH5ptl5ZTGR/ed9CbLOJsq6jZWZWDVkdpoql6U+LbdJg2TnQ2anEYt1rBkbazDba4th7zCGz3VfxMVl0cfRuhbNWIh0sTZ6RD7vrb5krCmTm2MNl53mzM63jLGObWy+ZLHqAZW2jU7KFEVRFKUNo29fth50UqYoiqIobRjVlLUeNEG9oiiKoihKK0CflLUA0R4Vs86Kq7F+ws4PKsUlNWPs9VXuk/kX2a+IPYIqha6JcjWyEIfgfbP0xeLzJddnDRlrUbi9/fWyvW/3S1+yjXuqRHlPpdScZSSyekbCOqesFLcoH6jyR12fxxpkWZdKPmTs58QaO7v+sebNLpdnJHa+X80lVh8yO58v9h2z8yWzbS/G3JsMX7exDh9rvqy6pejr21yaVq+tiLKDVrbTB9rp1xgeWw/7GZIBYtCa/FIup7Fx2fiq2cFPkOw0bM316IscjmP11MQMQS0xWgk6KVMURVGUNkw8fMo0ehkfdFKmKIqiKG2YkGnaZl6wR2dl8UAnZS2M6ZCHIEhplyjrUSPhzOgXAmVRQhbZOuytjh5is6QKirI5jqZxWGJ/HYVKo7yGDwAOao9fJefwX9AfPRxaXCXDk2U1sj8cvuNwZi1ZUnAap9O7Z4nyjtIaUe7SLkn2j7afmyotMDhNFe9/hleGV2sorFPlk/3l8CUTLSRnF760C+fZ1bct24QXOTxnSZNkCWfGZmlhZ5lhF9JiLLYNNvFHXsw2EYz1eERPi8UyhcjxsVhU2PlZxRibtVhuUPjSk8DbJ4sMu1RzvDjGtEixbo+J1YJDadvopExRFEVR2jIavmw16KRMURRFUdow8cl9qbOyeKCTMkVRFEVpw4RCJgx9UtYq0ElZCxCCNV1SeBmd2LVRbAqaAmtfuL3ItEkAsK9Gasz49fRI3VISpVmqDdCr8wnRdUEBEoay9ILHwkvtsawmQMnbWGO1bZ/UeH28YY9cnzRYqZmJopyT4UU0WJPWtV2yKLOOqUO6bC+F0i5ZUv1YNHXRX8UnCZ2lf6wTYxuKyHKsmjG75bFq0mKFx8pOt2RniWF3LKwi5+gaLl5uh52GjLGkuQLrsqJbbETVjZFPg+W3PMZbllW3Gj11XBLZ/NjZhTCxashibd9yblhyZslicy07lB8WOilTFEVRlDZMfNIs6aOyeKCTMkVRFEVpw5jmQQPZ5jUSl660eVp1mqW5c+fi9NNPR2pqKnJycjB69Ghs3LhR1Dn//PNhGIb43HLLLf+/vXsPjqJK/wb+nRkykwRIQq6TGAg3DQJBBCQGfyK1RAKkVlmtFZXlIjdhE1eFxYiiIJaAl1VW10WrlouroGKVwhYgmgARgQiSIiIX80IWjJeEUGASWAKZzDzvH1Sa9NPJnAwzIR3yfKqoYrpP95wz3dM50+fp5+jKlJaWIjMzE6GhoYiNjcW8efNQx7K95+fnY9CgQXA4HOjduzfWrFljqM/bb7+N7t27Izg4GKmpqdi3b1/A2yyEEEKIy/Lz8w1/4+v/ffvtt01u15y+gRmZ+k7ZV199haysLNx2222oq6vDM888g1GjRuHIkSPo2PFKvM6MGTOwePFi7XVo6JV8UG63G5mZmXA6ndizZw/KysowadIkBAUFYcmSJQCAEydOIDMzE7NmzcLatWuxbds2TJ8+HfHx8cjIyAAAfPzxx5gzZw7eeecdpKamYvny5cjIyEBxcTFiY2N9apcVV3rDLsWvC35Hmcc38KmIeHkeC+NhP2d4ri2VhvESPLcRZ++gP70M+X5YZXmsCMdj0tyKKaFqWExZJ5ajLYzFiFVXXtTXj8Xx8Gmi4sP1MWc8Jis8VJ9HjOcr4u3l00ap4px48I4h1oblMeNxRjxvmbfpc1TTHvla3te8ZKrPgn+2/LxX5iVTxIwpY+Z4XJCbn+tgrxVxT4qYL1X9+PY8B6DhOuL1OqE/lqrPwueYK8V6Hv/H39/FEhrya5qv0yLxz8aQD1GRs0/9vTUfMwf6Dxs2DGVlZbplzz33HLZt24YhQ4Z43dZb38CsTN0p27p1q+71mjVrEBsbi8LCQgwfPlxbHhoaCqfT2eg+vvzySxw5cgR5eXmIi4vDwIED8eKLLyInJweLFi2C3W7HO++8gx49euBvf/sbAODmm2/Grl278MYbb2idstdffx0zZszAI488AgB45513sHnzZqxatQpPP/10SzRfCCGEaHGBSYkRmLpwdrtd9/fd5XJh48aNeOyxx2BRdIC99Q3MytTDl1xVVRUAIDJSnzl97dq1iI6ORv/+/TF//nxcuHDlKbuCggKkpKQgLi5OW5aRkYHq6mocPnxYK5Oenq7bZ0ZGBgoKCgAAtbW1KCws1JWxWq1IT0/XyjTm0qVLqK6u1v0TQgghzKS+U+bXv2sUVPaf//wHZ86c0W6QeOOtb2BWpr5T1pDH48ETTzyBO+64A/3799eWP/zww0hKSkJCQgIOHjyInJwcFBcX49NPPwUAlJeX6zpkALTX5eXlXstUV1ejpqYGv/32G9xud6NlfvjhhybrvHTpUrzwwgte21Xj4rfavd9Kv+TWDzlZPX4O+7D1xjQU+n67q7ZhSgzvw438drbDxst7n/YnyKp/7/O1fAoqNq0SS2nBX/Nhh8RI/a3symDvX4eoTvppkCLY8GSIXd++juzz4e3h6Ub4EBsftjEOabHy7HU4aw+faoinDFGlzGjI72mWfDwvDcOL/LNin20H/tkqPmtf8e3599aYkkO/vWEITTFcqcK3598NVVoHbzdJrFYfpxVSpRdRDLXyuqmm0LJabOy1fj0fur1U5/2zuVjX/GF9wPd0Lqpzvy1zu92Gmw8OhwMOh6OJLXy3cuVKZGRkIDEx0Ws5Vd/ArNpMpywrKwuHDh3Crl27dMtnzpyp/T8lJQXx8fEYOXIkSkpK0KtXr2tdTZ358+djzpw52uvq6mp07dq1FWskhBBC6HmIYPE3JQYB33zzDcLDw3XLFy5ciEWLFhnKP/3003j55Ze97vPo0aPo06eP9vrnn3/GF198gfXr1yvrY+a+gTdtolOWnZ2NTZs2YefOncrecWpqKgDg+PHj6NWrF5xOp+EpyVOnTgGANtbsdDq1ZQ3LhIWFISQkBDabDTabrdEy3sarA/0LQQghhAi0QE2zdPvtt+Pzzz/XLW7qb+DcuXMxZcoUr7vs2bOn7vXq1asRFRWFe+65x+fq8b6BWZm6U0ZEeOyxx/DZZ58hPz8fPXr0UG5TVFQEAIiPjwcApKWl4aWXXkJFRYX2lGRubi7CwsLQt29frcyWLVt0+8nNzUVaWhqAy4GGgwcPxrZt2zBu3DgAl4dTt23bhuzs7EA0VQghhGgVgQr0t9lsCAsLa1bxmJgYxMTENH/3RFi9erWWPcFXvG9gVqbulGVlZWHdunXYuHEjOnfurMWAhYeHIyQkBCUlJVi3bh3Gjh2LqKgoHDx4EE8++SSGDx+OAQMGAABGjRqFvn37YuLEiXjllVdQXl6OBQsWICsrS+vBz5o1C//4xz/w1FNPYerUqdi+fTvWr1+PzZs3a3WZM2cOJk+ejCFDhmDo0KFYvnw5/ve//zUr2NCbGhbfUKuI/TDG2vA4JO9TEXF8/51YXBSPO2oYS8PjzXhcDw+dcLBpkjqSvjxvuypdB596hsee8Ji3mDD9LzaetqG2Tp/iguMxYzzFBn8/Pm2S8fNSTf3DKsAfvffw2BoeZ6Xf3JCCg72fMQ7J0+Q6HkOlws8NThUzpoqV5Oe94bNVxMCp4oZUDHFC3sMtDTFchmmRlNXxXr5O8cU3Ttl19ZlD+Xvz89bXmCtfY9KsPEWFRX+u8Wscm33M0HZfpyNT4eeyr+vFZdu3b8eJEycwffp0w7pffvkFI0eOxL///W8MHTq0WX0DszJ1p2zFihUALieBa2j16tWYMmUK7HY78vLytA5S165dcf/992PBggVaWZvNhk2bNmH27NlIS0tDx44dMXnyZF3ukh49emDz5s148skn8fe//x2JiYn417/+paXDAIDx48fj9OnTeP7551FeXo6BAwdi69athuB/IYQQoi0JSJ6yFn76cuXKlRg2bJguxqyey+VCcXGx9nRlc/oGZmXqTplqLq6uXbviq6++Uu4nKSnJMDzJjRgxAgcOHPBaJjs7W4YrhRBCXFcCMvdlC2fEWLduXZPrunfvrqt/c/sGZtSm8pQJIYQQQlyvTH2nrD246PYev6CK3VFNt8KnYeL+V6t/fx77E9xB//5xHZsOsLSzuB4eeqGK4+FhMDzWwxjX1GRVABjjiMId+rrzGCtV/iC+P0MuLLbeEEPmY64sY+4r/Xq+fx6Xxaed4ttb+fFicVAN6+ct3qyx9Sr+xpD5Oy2Sz3nB2LlpiJvyMQ6K74+fGx5iubL4dGuKPGT8u8O/1/zzg5eYP1WMl+o8VoVMec9W6HsOPNVna7Uorrn+Bry3RSbO6N/eSKdMCCGEaMc8RN4zCDeDv8Of4jLplAkhhBDtGHk8II/qnqVyLwGpS3snnbJWYLFYtIlUz1/S30pXDaN0ZGkZrNDfuucjDXx3fEiMD4HxoYoQlg+m4UiAcYgJrKxiah02YtLBpq8bH3Lhww6qISw+vGhlbXd00J/+vg6J+TqkxqmG/FRDZPz9gqxsWiee8oIPlbO35+eeq8H+edoBwzRCbLjMoxhqVg1X+ssw7ZDF+2et+t7x9CJ8iqtA/0Hin69y+jU+NRCrDq8/X8/PJUeD64KvKSo4fpr7mzJDRTWFFWfn05l18L59wOvbHodLRZOkUyaEEEK0Y+Rx+32nTIYvA0M6ZUIIIUQ7FohOGejqExCLK6RTJoQQQrRj5HaD3HKnzAykU9bKDlWc0712dtJPBcTjIzqzqXtUMWQcL29XTH/DNQxLIhanY4wL4sEk3vfN4+NUU0oFmjHFBg+6YuXZehfbWhWnZJwqyHvKDA/7/Ph6vr/QIEPQme4lT0HC69swpcYlVvgii+9DHdsXOzd4PJ/qWCrj9ZRxTN5TeKjKq+Ko+Mnga0oOjrfPw7Y3pMBQpIvh9fG9fQ3q5mN6ET7lFY9/46lYDBktFNcwVToT42elihfk3xPFHFk+MsSM8e8x+LFq8P+A1kS0BdIpE0IIIdqxwAxfyp2yQJBOmRBCCNGOBSQlhsSUBYRMsySEEEIIYQJyp6wVWC1X4iiOVZzXresaHqx7zfMhXXB5/zXjYHnHjKnBfJsSxVuOIWOoBov1UPxw4jXxsO1VU0T5Szm1Dquhasorvj9V/iEeF2WoD5v3yJh/icekGebO0b3inyfPUcc1PJcu1fFpe/TnIX9rHsfT0rmYjMfSv2Nn/B7w7XkOPdX+fIsxC3R5Vft5jJ8uDEwRj+drPJ0qbxnncwwZq2+dov6GWE4WUqaKz1PFK6riH1XTxV0LkhLDPKRTJoQQQrRjRBJTZhbSKRNCCCHaMblTZh4SUyaEEEIIYQJyp6yVNBVlwPOQnavVJ4Ayxm8EslZG3vZvCGFSUIRegE3fpyzPGWK6AhzjpYrbMazn8yWq5o9UxK6o4qSMc1d6zx/lVsSYNZx7NMjO4268153nNVPNu6nia843VXnV3Jw29tnxvGFu4jF2hgkdWf28VkfJOM+pfv8exV0O3l4ev2n8fX6lfSwFneF7EuRjjJUh+RbPyebrHK38XFMcW9X3WnVuc4Zjz6je3ww8Hjfg950yefoyEKRTJoQQQrRjAclTZujoi6shnTIhhBCiHQtMnjLplAWCdMpagc1q0R4bd0boU2DwW+d8mKKxfTXEU16onqznd96V5RUpNXzBh9/4az6VjLF8wKrSKNVUPyqGqYQU0yIZjqXiYBiGbRT1CWLzNNksfNjHy/Cl4rwMD2bDlyyFxsU670NMxnQf3odufU1n4uuQkeHc4kPPvp4MfnKw9CjG4Vb964vs3FAN3Ru+W16+XEGkP/Yuq2E8Uv9KMf2aq87Xc0GPV5VP68SvI/x7aZjCiw9nKoYng6zeU9dwqmmfGrZX1XZx/ZFOmRBCCNGOkdsNssrTl2YgnTIhhBCiPQvI3JcS6B8IkhJDCCGEEMIE5E5ZK2g4zVK38BDdOp6WgMc38PAMQ3wE62b7GmOmugPt4+wvPu1bhYdX+PtouWr6E+X2/nwY8D2GzN9YFZfH+9RIPO6r4fQzPK5GFWPGp/sypONgP6oNcUSGdB/wytepeFTbc/xYqeKMfJ16yMa+p0GG/elf8/fnKUg6sGPJY/x4nBWPOWv4efFjEcoqd4nlzOCftYNdlHh6EVUKDFXMlyoVjq8M6UdsPBbTr90rU2Q0PFdU502gUEBSYsjwZSBIp0wIIYRox4j875TJ05eBIZ0yIYQQoh0jjwfw+BcTJnfKAkNiyoQQQgghTEDulLUCC65kUeoeoY8pc7CABbuNx0/o92XIMwa+3reYBB7f4C1dk78/jHjVOhjidlicks23/EV8Phe3j5+FKpbFUJ5PxeNnjiFVviZ/Y2eMcVbNj8NSxd0YY9C8r1dNOWV4f8XPSR6zZoihYk1THSseE2fIQecn1fRphjiqDmwKrTof4xNd+u0vsc+nxnVlKIt/NrztPB6NH2vO6vGe044zfA99jOdTref7U+UnVLbPx1PD2zX9Wt01uXynTIYvzUA6ZUIIIUQ7FohAf0mJERjSKRNCCCHaMY/HDYu/T1/K3JcBIZ2yVmC1WLRb5OEO/RQdjg6+3ftW3TFWjaAZgzPZEJwPt6Q97Evp691sftufpwdR4cOHLj6c6GNKDV/TJPiK79+tuKgZ00b49n6q9vJhqIbHU/leLj6VjX61aoiI83XoWEWVIoO33dchLc7XKbRU7VUNjaumrfL18/Q21U/DoU0AcLPvqXHaI/254WsqGg+vKz9WPg5XGoYjVUPtyqF5385tzhim0PC9JOy7vZFOmRBCCNGOkdsNWPy8UybzdAaEdMqEEEKIdiwwMWXSKQsEuTcqhBBCCNN66aWXMGzYMISGhiIiIqLRMqWlpcjMzERoaChiY2Mxb9481NXVNVq23tmzZzFhwgSEhYUhIiIC06ZNw/nz51ugBc0nd8pagcVyJR1ERLA+pkwVbmFMi6Bfz3+rGMob1rNpmNge+PQvDd/B8KyNIWaLreZpCBTTo6jSGvAn0x3gU1R5r48qxYS/0x75W55TxXX5GjPmy/5V0yBxl3i8nJ91V72fv+lHWppymiUf46KU7+djGonQIFuTr32Op/MxfpDzNV7PsL2vU2Ap4u1U12SXm183vJdXpXNpGKPGDkuLCcg0S8a/CAFTW1uLP/7xj0hLS8PKlSsN691uNzIzM+F0OrFnzx6UlZVh0qRJCAoKwpIlS5rc74QJE1BWVobc3Fy4XC488sgjmDlzJtatW9dibVGRTpkQQgjRjhGZO0/ZCy+8AABYs2ZNo+u//PJLHDlyBHl5eYiLi8PAgQPx4osvIicnB4sWLYLdbjdsc/ToUWzduhXffvsthgwZAgB46623MHbsWLz22mtISEhosfZ4I8OXQgghRDtGHrff/1ozpqygoAApKSmIi4vTlmVkZKC6uhqHDx9ucpuIiAitQwYA6enpsFqt2Lt3b4vXuSlyp+waqk8/ce7cOW1ZrY+3vlXDl8ryhvXstSKjf8P1/L1Vw4/+Dl/WKbOy618bsrjrVxs+G54exO8htwBn4G/p4Utvq30dvuTvpfoN7u/wpaptrU01fBjw4csAvr+vw3ltffjSwtbzFBj+HivV8GXDt/vf+ct/K1pqXkmbzYagoCC4/t8m4xQrvnJdQFBQEKqrq3WLHQ4HHA6Hf/tWKC8v13XIAGivy8vLm9wmNjZWt6xDhw6IjIxscptrQTpl11B9Z+zG3r1buSZCCCHainPnziE8PDzg++3YsSP279+PsrKygOxv586dhnouXLgQixYtMpR9+umn8fLLL3vd39GjR9GnT5+A1K2tkE7ZNZSQkICffvoJnTt3Nvwaawuqq6vRtWtX/PTTTwgLC2vt6lyV66ENwPXRjuuhDYC0w0yuhzYAV9pRWloKi8XSovFNAwYMwIABAwKyrxEjRiAnJ0e3rKm7ZHPnzsWUKVO87q9nz57Nel+n04l9+/bplp06dUpb19Q2FRUVumV1dXU4e/Zsk9tcC9Ipu4asVisSExNbuxp+CwsLa9MXPOD6aANwfbTjemgDIO0wk+uhDQAQHh7eptrhy1BlTEwMYmJiAvK+aWlpeOmll1BRUaENSebm5iIsLAx9+/ZtcpvKykoUFhZi8ODBAIDt27fD4/EgNTU1IPW6GhLoL4QQQgjTKi0tRVFREUpLS+F2u1FUVISioiItp9ioUaPQt29fTJw4Ed999x2++OILLFiwAFlZWVoncd++fejTpw9++eUXAMDNN9+M0aNHY8aMGdi3bx92796N7OxsPPjgg6325CUgd8qEEEIIYWLPP/883nvvPe31rbfeCgDYsWMHRowYAZvNhk2bNmH27NlIS0tDx44dMXnyZCxevFjb5sKFCyguLobL5dKWrV27FtnZ2Rg5ciSsVivuv/9+vPnmm9euYY2QTploNofDgYULF7b4kzQt6XpoA3B9tON6aAMg7TCT66ENwPXTjkBZs2ZNkznK6iUlJWHLli1Nrh8xYoThKdbIyMhWTRTbGAu11LO2QgghhBCi2SSmTAghhBDCBKRTJoQQQghhAtIpE0IIIYQwAemUCSGEEEKYgHTKrmNLly7Fbbfdhs6dOyM2Nhbjxo1DcXGxrsyIESNgsVh0/2bNmqUrU1paiszMTISGhiI2Nhbz5s1DXV2drkx+fj4GDRoEh8OB3r17N/qkzNtvv43u3bsjODgYqamphgzMjVm0aJGhfg2n3bh48SKysrIQFRWFTp064f7779cyOZuh/vW6d+9uaIfFYkFWVhYA8x6HnTt34ve//z0SEhJgsViwYcMG3XoiwvPPP4/4+HiEhIQgPT0dx44d05U5e/YsJkyYgLCwMERERGDatGlafqF6Bw8exJ133ong4GB07doVr7zyiqEun3zyCfr06YPg4GCkpKQYnrRqqi7e2uByuZCTk4OUlBR07NgRCQkJmDRpEn799Vfdvhs7fsuWLbtmbWjOsZgyZYqhjqNHj24zxwJAo98Ri8WCV1991TTHojnXVTNdl5pTF2EiJK5bGRkZtHr1ajp06BAVFRXR2LFjqVu3bnT+/HmtzF133UUzZsygsrIy7V9VVZW2vq6ujvr370/p6el04MAB2rJlC0VHR9P8+fO1Mv/9738pNDSU5syZQ0eOHKG33nqLbDYbbd26VSvz0Ucfkd1up1WrVtHhw4dpxowZFBERQadOnfLahoULF1K/fv109Tt9+rS2ftasWdS1a1fatm0b7d+/n26//XYaNmyYaepfr6KiQteG3NxcAkA7duww9XHYsmULPfvss/Tpp58SAPrss89065ctW0bh4eG0YcMG+u677+iee+6hHj16UE1NjVZm9OjRdMstt9A333xDX3/9NfXu3ZseeughbX1VVRXFxcXRhAkT6NChQ/Thhx9SSEgIvfvuu1qZ3bt3k81mo1deeYWOHDlCCxYsoKCgIPr++++VddmwYUOTbaisrKT09HT6+OOP6YcffqCCggIaOnQoDR48WNfOpKQkWrx4se74NPwetXQbampqlMdi8uTJNHr0aF0dz549qytj5mNBRLq6l5WV0apVq8hisVBJSYlpjsXdd9+tvK6a6bqkqoswF+mUtSMVFRUEgL766itt2V133UWPP/54k9ts2bKFrFYrlZeXa8tWrFhBYWFhdOnSJSIieuqpp6hfv3667caPH08ZGRna66FDh1JWVpb22u12U0JCAi1dutRrnRcuXEi33HJLo+sqKyspKCiIPvnkE23Z0aNHCQAVFBSYov5Nefzxx6lXr17k8XiIyPzHgYgMf0Q9Hg85nU569dVXtWWVlZXkcDjoww8/JCKiI0eOEAD69ttvtTKff/45WSwW+uWXX4iI6J///Cd16dJFawcRUU5ODiUnJ2uvH3jgAcrMzNTVJzU1lR599NFm16WxNjRm3759BIB+/PFHbVlSUhK98cYbTW5zLdvQVDsmT55M9957b5N1bIvH4t5776Xf/e53umVmOxb8umqm61Jz6iLMRYYv25GqqioAlxPmNbR27VpER0ejf//+mD9/Pi5cuKCtKygoQEpKCuLi4rRlGRkZqK6uxuHDh7Uy6enpun1mZGSgoKAAAFBbW4vCwkJdGavVivT0dK2MN8eOHUNCQgJ69uyJCRMmoLS0FABQWFgIl8ul22+fPn3QrVs3bb9mqD9XW1uLDz74AFOnTtVNTG/248CdOHEC5eXluv2Fh4cjNTVV9/lHRERgyJAhWpn09HRYrVbs3btXKzN8+HDY7XZdvYuLi/Hbb781q23NqUtzVVVVwWKxICIiQrd82bJliIqKwq233opXX31VN9Rkljbk5+cjNjYWycnJmD17Ns6cOaOrY1s6FqdOncLmzZsxbdo0wzozHQt+XTXTdak5dRHmIhn92wmPx4MnnngCd9xxB/r3768tf/jhh5GUlISEhAQcPHgQOTk5KC4uxqeffgoAKC8v1104AGivy8vLvZaprq5GTU0NfvvtN7jd7kbL/PDDD17rnZqaijVr1iA5ORllZWV44YUXcOedd+LQoUMoLy+H3W43/PGMi4tT1u1a1b8xGzZsQGVlJaZMmaItM/txaEz9+za2v4Z1qp8guF6HDh0QGRmpK9OjR48m29alS5cm29ZwH6q6NMfFixeRk5ODhx56SDcR9F/+8hcMGjQIkZGR2LNnD+bPn4+ysjK8/vrrpmnD6NGjcd9996FHjx4oKSnBM888gzFjxqCgoAA2m63NHYv33nsPnTt3xn333adbbqZj0dh11UzXpebURZiLdMraiaysLBw6dAi7du3SLZ85c6b2/5SUFMTHx2PkyJEoKSlBr169rnU1DcaMGaP9f8CAAUhNTUVSUhLWr1+PkJCQVqzZ1Vu5ciXGjBmjm/TW7MehPXC5XHjggQdARFixYoVu3Zw5c7T/DxgwAHa7HY8++iiWLl1qmqlwHnzwQe3/KSkpGDBgAHr16oX8/HyMHDmyFWt2dVatWoUJEyYgODhYt9xMx6Kp66oQV0uGL9uB7OxsbNq0CTt27EBiYqLXsqmpqQCA48ePAwCcTqfhSZ36106n02uZsLAwhISEIDo6GjabrdEy9ftoroiICNx00004fvw4nE4namtrUVlZ2eR+zVb/H3/8EXl5eZg+fbrXcmY/Dg3f19v+nE4nKioqdOvr6upw9uzZgByjhutVdfGmvkP2448/Ijc3V3eXrDGpqamoq6vDyZMnTdMGrmfPnoiOjtadQ23hWADA119/jeLiYuX3BGi9Y9HUddVM16Xm1EWYi3TKrmNEhOzsbHz22WfYvn274ZZ+Y4qKigAA8fHxAIC0tDR8//33uot5/R+tvn37amW2bdum209ubi7S0tIAAHa7HYMHD9aV8Xg82LZtm1amuc6fP4+SkhLEx8dj8ODBCAoK0u23uLgYpaWl2n7NVv/Vq1cjNjYWmZmZXsuZ/TgAQI8ePeB0OnX7q66uxt69e3Wff2VlJQoLC7Uy27dvh8fj0TqeaWlp2LlzJ1wul67eycnJ6NKlS7Pa1py6NKW+Q3bs2DHk5eUhKipK2faioiJYrVZtOLC129CYn3/+GWfOnNGdQ2Y/FvVWrlyJwYMH45ZbblGWvdbH4vbbb/d6XTXTdak5dREm09pPGoiWM3v2bAoPD6f8/Hzd4+MXLlwgIqLjx4/T4sWLaf/+/XTixAnauHEj9ezZk4YPH67to/7R7VGjRlFRURFt3bqVYmJiGn10e968eXT06FF6++23G3102+Fw0Jo1a+jIkSM0c+ZMioiI0D191Ji5c+dSfn4+nThxgnbv3k3p6ekUHR1NFRUVRHT5ce9u3brR9u3baf/+/ZSWlkZpaWmmqX9DbrebunXrRjk5ObrlZj4O586dowMHDtCBAwcIAL3++ut04MAB7cnEZcuWUUREBG3cuJEOHjxI9957b6MpMW699Vbau3cv7dq1i2688UZdGobKykqKi4ujiRMn0qFDh+ijjz6i0NBQQwqDDh060GuvvUZHjx6lhQsXNprCoLG6nD59usk21NbW0j333EOJiYlUVFSk+57UPwW3Z88eeuONN6ioqIhKSkrogw8+oJiYGJo0adI1a0NNTY3XY3Hu3Dn661//SgUFBXTixAnKy8ujQYMG0Y033kgXL15sE8eiXlVVFYWGhtKKFSsM56MZjsXMmTO9XleJzHVdUtVFmIt0yq5jABr9t3r1aiIiKi0tpeHDh1NkZCQ5HA7q3bs3zZs3T5cfi4jo5MmTNGbMGAoJCaHo6GiaO3cuuVwuXZkdO3bQwIEDyW63U8+ePbX3aOitt96ibt26kd1up6FDh9I333yjbMP48eMpPj6e7HY73XDDDTR+/Hg6fvy4tr6mpob+/Oc/U5cuXSg0NJT+8Ic/UFlZmWnq39AXX3xBAKi4uFi33MzHYceOHY2eQ5MnTyaiy6kDnnvuOYqLiyOHw0EjR440tO/MmTP00EMPUadOnSgsLIweeeQROnfunK7Md999R//3f/9HDoeDbrjhBlq2bJmhLuvXr6ebbrqJ7HY79evXjzZv3qxb31RdvLXhxIkTTX5P6nPIFRYWUmpqKoWHh1NwcDDdfPPNtGTJEl1np6XboDoWFy5coFGjRlFMTAwFBQVRUlISzZgxw9DZNvOxqPfuu+9SSEgIVVZWGt7XDMdCdV0lMtd1qTl1EeZhISJqoZtwQgghhBCimSSmTAghhBDCBKRTJoQQQghhAtIpE0IIIYQwAemUCSGEEEKYgHTKhBBCCCFMQDplQgghhBAmIJ0yIYQQQggTkE6ZEOKaOnnyJCwWCywWCwYOHOj3/ur3FRER4fe+hBCiNUmnTAjRKvLy8gxz+12NsrIyLF++3P8KCSFEK5NOmRCiVURFRTVr8m8Vp9OJ8PDwANRICCFal3TKhBBX7fTp03A6nViyZIm2bM+ePbDb7T7fBZsyZQrGjRuHJUuWIC4uDhEREVi8eDHq6uowb948REZGIjExEatXrw50M4QQwhQ6tHYFhBBtV0xMDFatWoVx48Zh1KhRSE5OxsSJE5GdnY2RI0f6vL/t27cjMTERO3fuxO7duzFt2jTs2bMHw4cPx969e/Hxxx/j0Ucfxd13343ExMQWaJEQQrQeuVMmhPDL2LFjMWPGDEyYMAGzZs1Cx44dsXTp0qvaV2RkJN58800kJydj6tSpSE5OxoULF/DMM8/gxhtvxPz582G327Fr164At0IIIVqf3CkTQvjttddeQ//+/fHJJ5+gsLAQDofjqvbTr18/WK1XfivGxcWhf//+2mubzYaoqChUVFT4XWchhDAbuVMmhPBbSUkJfv31V3g8Hpw8efKq9xMUFKR7bbFYGl3m8Xiu+j2EEMKs5E6ZEMIvtbW1+NOf/oTx48cjOTkZ06dPx/fff4/Y2NjWrpoQQrQpcqdMCOGXZ599FlVVVXjzzTeRk5ODm266CVOnTm3tagkhRJsjnTIhxFXLz8/H8uXL8f777yMsLAxWqxXvv/8+vv76a6xYsaK1qyeEEG2KDF8KIa7aiBEj4HK5dMu6d++Oqqoqn/e1Zs0aw7L8/HzDMn9i1oQQwsykUyaEaBXDhg3DwIEDsWfPHr/206lTJ9TV1SE4ODhANRNCiNYhnTIhxDWVmJiIY8eOAcBVp85oqKioCMDldBlCCNGWWYiIWrsSQgghhBDtnQT6CyGEEEKYgHTKhBBCCCFMQDplQgghhBAmIJ0yIYQQQggTkE6ZEEIIIYQJSKdMCCGEEMIEpFMmhBBCCGEC0ikTQgghhDAB6ZQJIYQQQpjA/wc0kmF6idA9KQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#now for example to print the topography you can use\n",
    "ds['um10'][10].plot(vmax=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "368b9129-5410-4cab-a613-14f21731c6f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc5a8714050>]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#or to plot the time series of the temperature in the center of the domain\n",
    "ds['Temp'][:,0,75,75].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8121f906-cd50-42d3-addb-2b9bed8d2628",
   "metadata": {},
   "source": [
    "In the plot above you can see the diurnal cycle of the temperature that picks around 12pm and get to its lowest at 6am."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "279e6e18-85e3-47c2-8398-9859e0bac274",
   "metadata": {},
   "source": [
    "lets now plot the terrain data on a geographic coordinate system. The plot above is showing the data on the cartesian grid of the domain simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "94dab4f4-8b2b-4327-a3d8-88929d64b19f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the data\n",
    "\n",
    "crs_here = ccrs.PlateCarree() \n",
    "\n",
    "fig, ax = plt.subplots(subplot_kw={'projection': crs_here})\n",
    "\n",
    "# Add borders, coastlines and gridlines\n",
    "ax.add_feature(cfeature.COASTLINE)\n",
    "ax.add_feature(cfeature.BORDERS)\n",
    "gl = ax.gridlines(draw_labels=True)\n",
    "\n",
    "# Disable labels on the right and top sides\n",
    "gl.right_labels = False\n",
    "gl.top_labels = False\n",
    "\n",
    "# Plot data using pcolormesh\n",
    "colm = ax.pcolormesh(ds.lon, ds.lat, ds.topography, cmap='viridis', shading='auto', transform=crs_here)\n",
    "\n",
    "# Add a colorbar\n",
    "plt.colorbar(colm, ax=ax, orientation='vertical', label='elevation (m)')\n",
    "\n",
    "# Set title\n",
    "plt.title('topography')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86275db5-7236-4594-8b37-aa07999a0751",
   "metadata": {},
   "source": [
    "lest now project this map on a UTM projection coordinate system [epsg:25831](https://epsg.io/25831)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "7e7a1800-b987-4775-8517-1202d063f6d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the source and target CRS\n",
    "source_crs = \"EPSG:4326\"  # WGS84 - Latitude/Longitude\n",
    "target_crs = \"EPSG:25831\" # ETRS89 / UTM zone 31N\n",
    "\n",
    "# Create a Transformer object\n",
    "transformer = pyproj.Transformer.from_crs(source_crs, target_crs, always_xy=True)\n",
    "\n",
    "# Transform the coordinates\n",
    "easting, northing = transformer.transform(ds.lon, ds.lat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "2be6d050-eae8-4e0e-923f-dbd4850a9a49",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/imfse/lib/python3.11/site-packages/cartopy/mpl/geoaxes.py:1768: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n",
      "  result = super().pcolormesh(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the data\n",
    "\n",
    "crs_here = ccrs.epsg(25831) \n",
    "\n",
    "fig, ax = plt.subplots(subplot_kw={'projection': crs_here})\n",
    "\n",
    "# Add borders, coastlines and gridlines\n",
    "ax.add_feature(cfeature.COASTLINE)\n",
    "ax.add_feature(cfeature.BORDERS)\n",
    "gl = ax.gridlines(draw_labels=True)\n",
    "\n",
    "# Disable labels on the right and top sides\n",
    "gl.right_labels = False\n",
    "gl.top_labels = False\n",
    "\n",
    "# Plot data using pcolormesh\n",
    "colm = ax.pcolormesh(easting, northing, ds.topography, cmap='viridis', shading='auto', transform=crs_here)\n",
    "\n",
    "# Add a colorbar\n",
    "plt.colorbar(colm, ax=ax, orientation='vertical', label='elevation (m)')\n",
    "\n",
    "# Set title\n",
    "plt.title('topography')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ebb6a6c-e0b7-4f8f-9871-9a5913aac772",
   "metadata": {},
   "source": [
    "See that now we have here again an aspect ration of 1 (the image is a square). In the Platecarree projection above, the aspect ration is different from 1 as 1 degree of longitude is only equivalent in distance to 1 degree of latitude at the equator. As you can see below meridian are getting closer at higher/lower latitude in the north/south pole."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "b62e28fe-ba47-4e33-bd62-cc59e5afc817",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.gridliner.Gridliner at 0x7fc5a83f7790>"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(3, 3))\n",
    "ax = plt.axes(projection=ccrs.Orthographic())\n",
    "ax.coastlines(resolution='110m')\n",
    "ax.gridlines()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d612dc78-b8e9-4214-ae21-ed2dc8f0de74",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}