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    "# Cloud Optimized ERA5\n",
    "\n",
    "In their [public dataset program](https://cloud.google.com/storage/docs/public-datasets), Google's Cloud Storage provides a variety of public datasets that can be accessed by the community. Google pays for the hosting of these datasets.\n",
    "\n",
    "One of these datasets is an \"Analysis-Ready, Cloud Optimized\" [(ARCO) ERA5 dataset](https://github.com/google-research/arco-era5). This is based on the European Centre for Medium-Range Weather Forecasts (ECMWF) [Atmospheric Reanalysis product](https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5), a very commonly used dataset for world-wide historical meteorological parameters ranging from 1940 to now.\n",
    "\n",
    "### Accessing the dataset\n",
    "\n",
    "This dataset uses [Zarr](https://zarr.dev/) to make access very easy. "
   ]
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   "metadata": {},
   "source": [
    "You might need to install the following dependencies still:"
   ]
  },
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip install xarray matplotlib zarr gcsfs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can open the Zarr store with the following code ([copied from the ARCO-ERA5 github page](https://github.com/google-research/arco-era5))."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray\n",
    "\n",
    "ds = xarray.open_zarr(\n",
    "    'gs://gcp-public-data-arco-era5/ar/full_37-1h-0p25deg-chunk-1.zarr-v3',\n",
    "    chunks=None,\n",
    "    storage_options=dict(token='anon'),\n",
    ")\n",
    "ar_full_37_1h = ds.sel(time=slice(ds.attrs['valid_time_start'], ds.attrs['valid_time_stop']))"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How to use xarray with Zarr stores\n",
    "\n",
    "The data is opened as an xarray \"Dataset\". This dataset holds all variables and their associated dimensions and coordinates.\n",
    "As you can see, there are 273 variables contained in this dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2PB\n",
       "Dimensions:                                                          (\n",
       "                                                                      time: 740712,\n",
       "                                                                      latitude: 721,\n",
       "                                                                      longitude: 1440,\n",
       "                                                                      level: 37)\n",
       "Coordinates:\n",
       "  * latitude                                                         (latitude) float32 3kB ...\n",
       "  * level                                                            (level) int64 296B ...\n",
       "  * longitude                                                        (longitude) float32 6kB ...\n",
       "  * time                                                             (time) datetime64[ns] 6MB ...\n",
       "Data variables: (12/273)\n",
       "    100m_u_component_of_wind                                         (time, latitude, longitude) float32 3TB ...\n",
       "    100m_v_component_of_wind                                         (time, latitude, longitude) float32 3TB ...\n",
       "    10m_u_component_of_neutral_wind                                  (time, latitude, longitude) float32 3TB ...\n",
       "    10m_u_component_of_wind                                          (time, latitude, longitude) float32 3TB ...\n",
       "    10m_v_component_of_neutral_wind                                  (time, latitude, longitude) float32 3TB ...\n",
       "    10m_v_component_of_wind                                          (time, latitude, longitude) float32 3TB ...\n",
       "    ...                                                               ...\n",
       "    wave_spectral_directional_width_for_swell                        (time, latitude, longitude) float32 3TB ...\n",
       "    wave_spectral_directional_width_for_wind_waves                   (time, latitude, longitude) float32 3TB ...\n",
       "    wave_spectral_kurtosis                                           (time, latitude, longitude) float32 3TB ...\n",
       "    wave_spectral_peakedness                                         (time, latitude, longitude) float32 3TB ...\n",
       "    wave_spectral_skewness                                           (time, latitude, longitude) float32 3TB ...\n",
       "    zero_degree_level                                                (time, latitude, longitude) float32 3TB ...\n",
       "Attributes:\n",
       "    valid_time_start:  1940-01-01\n",
       "    last_updated:      2024-09-27 08:06:09.120900\n",
       "    valid_time_stop:   2024-06-30</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-61d750b3-bb41-4a64-b0c1-33108f5fe3a7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-61d750b3-bb41-4a64-b0c1-33108f5fe3a7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 740712</li><li><span class='xr-has-index'>latitude</span>: 721</li><li><span class='xr-has-index'>longitude</span>: 1440</li><li><span class='xr-has-index'>level</span>: 37</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5e038f7d-1c5a-414e-a343-188c547175a0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5e038f7d-1c5a-414e-a343-188c547175a0' 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'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... -89.75 -90.0</div><input id='attrs-eab9d611-51a1-4ade-9805-7ec461bda21a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eab9d611-51a1-4ade-9805-7ec461bda21a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7c9aceb-d42f-443d-b907-e5e1db52b72d' class='xr-var-data-in' type='checkbox'><label for='data-f7c9aceb-d42f-443d-b907-e5e1db52b72d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([ 90.  ,  89.75,  89.5 , ..., -89.5 , -89.75, -90.  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 5 7 ... 900 925 950 975 1000</div><input id='attrs-205ff9e1-155e-4ab1-8405-d41e6f0bc630' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-205ff9e1-155e-4ab1-8405-d41e6f0bc630' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-909c75f4-2611-4794-9c2d-3cc495de4454' class='xr-var-data-in' type='checkbox'><label for='data-909c75f4-2611-4794-9c2d-3cc495de4454' 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([   1,    2,    3,    5,    7,   10,   20,   30,   50,   70,  100,  125,\n",
       "        150,  175,  200,  225,  250,  300,  350,  400,  450,  500,  550,  600,\n",
       "        650,  700,  750,  775,  800,  825,  850,  875,  900,  925,  950,  975,\n",
       "       1000])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 359.2 359.5 359.8</div><input id='attrs-e42deb54-1ec1-486e-89f1-34592e5cabcc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e42deb54-1ec1-486e-89f1-34592e5cabcc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe0f3fc6-bc51-49c8-bbdd-54145c33edec' class='xr-var-data-in' type='checkbox'><label for='data-fe0f3fc6-bc51-49c8-bbdd-54145c33edec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
       "       3.5975e+02], 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'>1940-01-01 ... 2024-06-30T23:00:00</div><input id='attrs-5ff21790-7000-49a4-a501-2212432bb032' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ff21790-7000-49a4-a501-2212432bb032' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e759b10-5383-438a-b3ea-d85920dd60c8' class='xr-var-data-in' type='checkbox'><label for='data-1e759b10-5383-438a-b3ea-d85920dd60c8' 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;1940-01-01T00:00:00.000000000&#x27;, &#x27;1940-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;1940-01-01T02:00:00.000000000&#x27;, ..., &#x27;2024-06-30T21:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-30T22:00:00.000000000&#x27;, &#x27;2024-06-30T23:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ba83c51-943a-4b6e-b3f7-ca73cdae0109' class='xr-section-summary-in' type='checkbox'  ><label for='section-9ba83c51-943a-4b6e-b3f7-ca73cdae0109' class='xr-section-summary' >Data variables: <span>(273)</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>100m_u_component_of_wind</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8d2cbec5-6125-4446-8785-3c6f35bbb8b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d2cbec5-6125-4446-8785-3c6f35bbb8b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ebc8dba-2dbc-44b0-8ddd-c6e378288a8e' class='xr-var-data-in' type='checkbox'><label for='data-8ebc8dba-2dbc-44b0-8ddd-c6e378288a8e' 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>100 metre U wind component</dd><dt><span>short_name :</span></dt><dd>u100</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>100m_v_component_of_wind</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b1a21ea-96b7-4a17-8eb2-468c1207bc4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b1a21ea-96b7-4a17-8eb2-468c1207bc4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fe9f387-b135-42b6-b637-a8f38b4494d8' class='xr-var-data-in' type='checkbox'><label for='data-5fe9f387-b135-42b6-b637-a8f38b4494d8' 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>100 metre V wind component</dd><dt><span>short_name :</span></dt><dd>v100</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10m_u_component_of_neutral_wind</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ff5caa09-c397-461b-8bee-6daafcc181d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff5caa09-c397-461b-8bee-6daafcc181d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f50598d3-1d94-4a62-9c07-ea82bd48bd4d' class='xr-var-data-in' type='checkbox'><label for='data-f50598d3-1d94-4a62-9c07-ea82bd48bd4d' 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>Neutral wind at 10 m u-component</dd><dt><span>short_name :</span></dt><dd>u10n</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10m_u_component_of_wind</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-328cfc5c-afc9-42dd-bd1a-b2dc813e33ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-328cfc5c-afc9-42dd-bd1a-b2dc813e33ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-247a7fa8-1aba-4ac1-a5db-067013709a2e' class='xr-var-data-in' type='checkbox'><label for='data-247a7fa8-1aba-4ac1-a5db-067013709a2e' 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>10 metre U wind component</dd><dt><span>short_name :</span></dt><dd>u10</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10m_v_component_of_neutral_wind</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-014e848f-aec4-489d-9486-313cbccba80d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-014e848f-aec4-489d-9486-313cbccba80d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbbe8ae1-d9cc-4904-b263-b82b9dea117c' class='xr-var-data-in' type='checkbox'><label for='data-dbbe8ae1-d9cc-4904-b263-b82b9dea117c' 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>Neutral wind at 10 m v-component</dd><dt><span>short_name :</span></dt><dd>v10n</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10m_v_component_of_wind</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e3015e6f-6bb7-4742-9df4-dbe27296e57f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3015e6f-6bb7-4742-9df4-dbe27296e57f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6abd38e7-841f-41cc-a64f-990ff9e2ff5f' class='xr-var-data-in' type='checkbox'><label for='data-6abd38e7-841f-41cc-a64f-990ff9e2ff5f' 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>10 metre V wind component</dd><dt><span>short_name :</span></dt><dd>v10</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10m_wind_gust_since_previous_post_processing</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c57c8787-6f4d-464a-9c36-18bc1903eb3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c57c8787-6f4d-464a-9c36-18bc1903eb3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8a98284-c987-488c-a069-f0ce56375a1a' class='xr-var-data-in' type='checkbox'><label for='data-f8a98284-c987-488c-a069-f0ce56375a1a' 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>10 metre wind gust since previous post-processing</dd><dt><span>short_name :</span></dt><dd>fg10</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2m_dewpoint_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f5d16311-b92b-4c11-9655-cbd1dfc751d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5d16311-b92b-4c11-9655-cbd1dfc751d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84841d46-7eba-4ee7-910e-f18e587a42fe' class='xr-var-data-in' type='checkbox'><label for='data-84841d46-7eba-4ee7-910e-f18e587a42fe' 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>2 metre dewpoint temperature</dd><dt><span>short_name :</span></dt><dd>d2m</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2m_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b799314c-2b3d-4d8d-be45-fbb4a88eb163' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b799314c-2b3d-4d8d-be45-fbb4a88eb163' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a6c40a0-5f76-4dae-96c7-c97714834ffc' class='xr-var-data-in' type='checkbox'><label for='data-0a6c40a0-5f76-4dae-96c7-c97714834ffc' 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>2 metre temperature</dd><dt><span>short_name :</span></dt><dd>t2m</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air_density_over_the_oceans</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-63b4be76-5896-49f2-b177-55be3c136050' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63b4be76-5896-49f2-b177-55be3c136050' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aebf0e15-1ec7-4629-9890-657c600beffa' class='xr-var-data-in' type='checkbox'><label for='data-aebf0e15-1ec7-4629-9890-657c600beffa' 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>Air density over the oceans</dd><dt><span>short_name :</span></dt><dd>p140209</dd><dt><span>units :</span></dt><dd>kg m**-3</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_of_sub_gridscale_orography</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bde8f56d-d202-49a8-bafa-557ec3eeab94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bde8f56d-d202-49a8-bafa-557ec3eeab94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08bde967-f6ad-44d4-a99a-5ea68dbf654f' class='xr-var-data-in' type='checkbox'><label for='data-08bde967-f6ad-44d4-a99a-5ea68dbf654f' 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>Angle of sub-gridscale orography</dd><dt><span>short_name :</span></dt><dd>anor</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>anisotropy_of_sub_gridscale_orography</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e93fb11d-ad57-4a4b-8240-f2ea62a5a0b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e93fb11d-ad57-4a4b-8240-f2ea62a5a0b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-586ccc3f-cbdd-49b9-90d6-00b6065a8367' class='xr-var-data-in' type='checkbox'><label for='data-586ccc3f-cbdd-49b9-90d6-00b6065a8367' 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>Anisotropy of sub-gridscale orography</dd><dt><span>short_name :</span></dt><dd>isor</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>benjamin_feir_index</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30996dbf-b61d-4f57-bdcf-7cc130997abf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30996dbf-b61d-4f57-bdcf-7cc130997abf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34f0d7fa-afa6-43bd-b31e-63757f59f4d0' class='xr-var-data-in' type='checkbox'><label for='data-34f0d7fa-afa6-43bd-b31e-63757f59f4d0' 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>Benjamin-Feir index</dd><dt><span>short_name :</span></dt><dd>bfi</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boundary_layer_dissipation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6cac9ecc-7caf-460d-99ea-a120b0bac615' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cac9ecc-7caf-460d-99ea-a120b0bac615' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a73095d-d657-4a99-bbaa-a091374668ee' class='xr-var-data-in' type='checkbox'><label for='data-2a73095d-d657-4a99-bbaa-a091374668ee' 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>Boundary layer dissipation</dd><dt><span>short_name :</span></dt><dd>bld</dd><dt><span>standard_name :</span></dt><dd>kinetic_energy_dissipation_in_atmosphere_boundary_layer</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boundary_layer_height</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cffcc36c-9d5f-469d-ab9e-6d5473de1855' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cffcc36c-9d5f-469d-ab9e-6d5473de1855' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b0248a6-03d6-427e-ab0e-e01b0838b0ec' class='xr-var-data-in' type='checkbox'><label for='data-9b0248a6-03d6-427e-ab0e-e01b0838b0ec' 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>Boundary layer height</dd><dt><span>short_name :</span></dt><dd>blh</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>charnock</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e68e62e6-270d-4e73-853d-742d3e4cfd3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e68e62e6-270d-4e73-853d-742d3e4cfd3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4fce68c-a859-440a-99f6-e4b6e13d4e62' class='xr-var-data-in' type='checkbox'><label for='data-a4fce68c-a859-440a-99f6-e4b6e13d4e62' 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>Charnock</dd><dt><span>short_name :</span></dt><dd>chnk</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>clear_sky_direct_solar_radiation_at_surface</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9e56ea63-7c65-48af-9f19-2678801ab23b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e56ea63-7c65-48af-9f19-2678801ab23b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26f96b38-0a7b-43e9-b401-68808df3321c' class='xr-var-data-in' type='checkbox'><label for='data-26f96b38-0a7b-43e9-b401-68808df3321c' 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>Clear-sky direct solar radiation at surface</dd><dt><span>short_name :</span></dt><dd>cdir</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cloud_base_height</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-536b5295-849d-4372-9a97-56800f26890d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-536b5295-849d-4372-9a97-56800f26890d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53a68561-f9b1-4b2b-aea3-8e43a2eda606' class='xr-var-data-in' type='checkbox'><label for='data-53a68561-f9b1-4b2b-aea3-8e43a2eda606' 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 base height</dd><dt><span>short_name :</span></dt><dd>cbh</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>coefficient_of_drag_with_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-731b911c-20b9-4418-bd73-53e6c6a94f03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-731b911c-20b9-4418-bd73-53e6c6a94f03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56f9c3a8-3246-46cd-a3bf-08e34741b590' class='xr-var-data-in' type='checkbox'><label for='data-56f9c3a8-3246-46cd-a3bf-08e34741b590' 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>Coefficient of drag with waves</dd><dt><span>short_name :</span></dt><dd>cdww</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>convective_available_potential_energy</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eaf24974-fe64-4e49-aa56-df711927a5a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eaf24974-fe64-4e49-aa56-df711927a5a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-014f381a-6d2f-489f-be59-174b1ca36eb6' class='xr-var-data-in' type='checkbox'><label for='data-014f381a-6d2f-489f-be59-174b1ca36eb6' 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>Convective available potential energy</dd><dt><span>short_name :</span></dt><dd>cape</dd><dt><span>units :</span></dt><dd>J kg**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>convective_inhibition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a466c396-1231-42dc-bdf5-2ddf7b913231' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a466c396-1231-42dc-bdf5-2ddf7b913231' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65aa23f0-6d7b-451f-96a6-ced6e0fc7ccd' class='xr-var-data-in' type='checkbox'><label for='data-65aa23f0-6d7b-451f-96a6-ced6e0fc7ccd' 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>Convective inhibition</dd><dt><span>short_name :</span></dt><dd>cin</dd><dt><span>units :</span></dt><dd>J kg**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>convective_precipitation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20dcb642-acd3-4cca-967d-4b140eaaba0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20dcb642-acd3-4cca-967d-4b140eaaba0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b77976e3-3799-482e-962c-44e51070546f' class='xr-var-data-in' type='checkbox'><label for='data-b77976e3-3799-482e-962c-44e51070546f' 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>Convective precipitation</dd><dt><span>short_name :</span></dt><dd>cp</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_convective_precipitation_amount</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>convective_rain_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-695e96cb-b6ca-4364-a51b-78765ac1a53e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-695e96cb-b6ca-4364-a51b-78765ac1a53e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9bef940-2773-49b7-8deb-6f4eaab189f2' class='xr-var-data-in' type='checkbox'><label for='data-e9bef940-2773-49b7-8deb-6f4eaab189f2' 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>Convective rain rate</dd><dt><span>short_name :</span></dt><dd>crr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>convective_snowfall</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e0442328-cb42-443d-80d3-fbc523bfe36f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0442328-cb42-443d-80d3-fbc523bfe36f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdbbf146-81eb-4705-8569-42760d9ff599' class='xr-var-data-in' type='checkbox'><label for='data-bdbbf146-81eb-4705-8569-42760d9ff599' 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>Convective snowfall</dd><dt><span>short_name :</span></dt><dd>csf</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>convective_snowfall_rate_water_equivalent</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-19a289e2-e4ca-4c21-a9d0-bc50e8cc7de8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19a289e2-e4ca-4c21-a9d0-bc50e8cc7de8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3040e2bb-2f3a-42ab-acb4-4efbc4e3e721' class='xr-var-data-in' type='checkbox'><label for='data-3040e2bb-2f3a-42ab-acb4-4efbc4e3e721' 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>Convective snowfall rate water equivalent</dd><dt><span>short_name :</span></dt><dd>csfr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>downward_uv_radiation_at_the_surface</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5b231609-175e-4bc8-886e-4e9a4a67a141' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b231609-175e-4bc8-886e-4e9a4a67a141' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01d35171-df79-4a99-9e43-1762e8d5388a' class='xr-var-data-in' type='checkbox'><label for='data-01d35171-df79-4a99-9e43-1762e8d5388a' 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>Downward UV radiation at the surface</dd><dt><span>short_name :</span></dt><dd>uvb</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>duct_base_height</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5e12eab3-8142-4933-a921-e3a4de8020bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e12eab3-8142-4933-a921-e3a4de8020bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cb91c7d-56d6-4262-84cb-1884422cf11d' class='xr-var-data-in' type='checkbox'><label for='data-0cb91c7d-56d6-4262-84cb-1884422cf11d' 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>Duct base height</dd><dt><span>short_name :</span></dt><dd>dctb</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eastward_gravity_wave_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb098afc-d4b6-4836-9794-8edfaa616b39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb098afc-d4b6-4836-9794-8edfaa616b39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1200d432-1db5-42a0-ba3e-61ccb2fabc02' class='xr-var-data-in' type='checkbox'><label for='data-1200d432-1db5-42a0-ba3e-61ccb2fabc02' 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>Eastward gravity wave surface stress</dd><dt><span>short_name :</span></dt><dd>lgws</dd><dt><span>units :</span></dt><dd>N m**-2 s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eastward_turbulent_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-174b351e-8b8a-45e9-866b-d38e7ca3a272' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-174b351e-8b8a-45e9-866b-d38e7ca3a272' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9200b502-5567-4bde-9dc4-3c6059044fb5' class='xr-var-data-in' type='checkbox'><label for='data-9200b502-5567-4bde-9dc4-3c6059044fb5' 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>Eastward turbulent surface stress</dd><dt><span>short_name :</span></dt><dd>ewss</dd><dt><span>standard_name :</span></dt><dd>surface_downward_eastward_stress</dd><dt><span>units :</span></dt><dd>N m**-2 s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>evaporation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a72d0e67-9b3c-42af-a36f-c89854a0a008' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a72d0e67-9b3c-42af-a36f-c89854a0a008' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44454685-0740-465e-969f-bd8d89eafed1' class='xr-var-data-in' type='checkbox'><label for='data-44454685-0740-465e-969f-bd8d89eafed1' 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>Evaporation</dd><dt><span>short_name :</span></dt><dd>e</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_water_evaporation_amount</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>forecast_albedo</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb36f29a-e856-4b53-adf0-5764a2b655ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb36f29a-e856-4b53-adf0-5764a2b655ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-026a60b1-e941-4fb3-97ae-4a404a1779d7' class='xr-var-data-in' type='checkbox'><label for='data-026a60b1-e941-4fb3-97ae-4a404a1779d7' 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>Forecast albedo</dd><dt><span>short_name :</span></dt><dd>fal</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>forecast_logarithm_of_surface_roughness_for_heat</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-384d1e50-f342-4799-a306-6f9a64efed98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-384d1e50-f342-4799-a306-6f9a64efed98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4879e6c5-3f4d-4f51-ab21-31e5da9a9bf8' class='xr-var-data-in' type='checkbox'><label for='data-4879e6c5-3f4d-4f51-ab21-31e5da9a9bf8' 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>Forecast logarithm of surface roughness for heat</dd><dt><span>short_name :</span></dt><dd>flsr</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>forecast_surface_roughness</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cb5fc217-7fae-47e1-920f-8cdc2696ae4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb5fc217-7fae-47e1-920f-8cdc2696ae4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46ce9bb3-5342-43c6-8b73-f11d6070bb6b' class='xr-var-data-in' type='checkbox'><label for='data-46ce9bb3-5342-43c6-8b73-f11d6070bb6b' 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>Forecast surface roughness</dd><dt><span>short_name :</span></dt><dd>fsr</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fraction_of_cloud_cover</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-120eb8c0-d896-4cb2-bc4c-308717bfa842' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-120eb8c0-d896-4cb2-bc4c-308717bfa842' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5eb895f-bc59-4837-b740-a4a263ea882e' class='xr-var-data-in' type='checkbox'><label for='data-c5eb895f-bc59-4837-b740-a4a263ea882e' 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>Fraction of cloud cover</dd><dt><span>short_name :</span></dt><dd>cc</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[28454362594560 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>free_convective_velocity_over_the_oceans</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-09bd413b-585d-4eb8-8d4f-0c52ee0de630' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09bd413b-585d-4eb8-8d4f-0c52ee0de630' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35dc44be-9099-46e6-bd21-8ce442e38e59' class='xr-var-data-in' type='checkbox'><label for='data-35dc44be-9099-46e6-bd21-8ce442e38e59' 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>Free convective velocity over the oceans</dd><dt><span>short_name :</span></dt><dd>p140208</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>friction_velocity</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-75d2a397-9e6b-4b4c-a002-1d0b45f5345a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75d2a397-9e6b-4b4c-a002-1d0b45f5345a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35aa7c92-d129-408b-b855-6ffc19e80b86' class='xr-var-data-in' type='checkbox'><label for='data-35aa7c92-d129-408b-b855-6ffc19e80b86' 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>Friction velocity</dd><dt><span>short_name :</span></dt><dd>zust</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geopotential</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0006a725-7ee7-4924-bda4-04ea2bdff253' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0006a725-7ee7-4924-bda4-04ea2bdff253' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2947432a-9a06-4645-8d7f-f0771531e0e1' class='xr-var-data-in' type='checkbox'><label for='data-2947432a-9a06-4645-8d7f-f0771531e0e1' 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>Geopotential</dd><dt><span>short_name :</span></dt><dd>z</dd><dt><span>standard_name :</span></dt><dd>geopotential</dd><dt><span>units :</span></dt><dd>m**2 s**-2</dd></dl></div><div class='xr-var-data'><pre>[28454362594560 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geopotential_at_surface</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f9fb72b8-4194-4552-8852-8261581ab635' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9fb72b8-4194-4552-8852-8261581ab635' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00b1dd23-0d9d-47e2-8e5c-22cb73e856ce' class='xr-var-data-in' type='checkbox'><label for='data-00b1dd23-0d9d-47e2-8e5c-22cb73e856ce' 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>Geopotential</dd><dt><span>short_name :</span></dt><dd>z</dd><dt><span>standard_name :</span></dt><dd>geopotential</dd><dt><span>units :</span></dt><dd>m**2 s**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravity_wave_dissipation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7271f9d9-9a87-42ca-9ab8-c714670c7bc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7271f9d9-9a87-42ca-9ab8-c714670c7bc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4f152f2-52e5-4d8f-bda7-b1ffd604bde2' class='xr-var-data-in' type='checkbox'><label for='data-c4f152f2-52e5-4d8f-bda7-b1ffd604bde2' 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>Gravity wave dissipation</dd><dt><span>short_name :</span></dt><dd>gwd</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>high_cloud_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c10ab211-9739-42f3-b530-d17612d46b22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c10ab211-9739-42f3-b530-d17612d46b22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-695689c5-21a8-4756-a41d-9b0131c50a24' class='xr-var-data-in' type='checkbox'><label for='data-695689c5-21a8-4756-a41d-9b0131c50a24' 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>High cloud cover</dd><dt><span>short_name :</span></dt><dd>hcc</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>high_vegetation_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-92f33ed7-882b-4ae8-9e2a-7e1258893088' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92f33ed7-882b-4ae8-9e2a-7e1258893088' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2eb63f0-36fc-4dd5-9774-f96f7f04a9d2' class='xr-var-data-in' type='checkbox'><label for='data-b2eb63f0-36fc-4dd5-9774-f96f7f04a9d2' 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>High vegetation cover</dd><dt><span>short_name :</span></dt><dd>cvh</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_temperature_layer_1</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69823b24-c4b2-445d-8880-11d6650e9de8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69823b24-c4b2-445d-8880-11d6650e9de8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bcde687-4b98-427c-b2a3-5f50d5eec0b2' class='xr-var-data-in' type='checkbox'><label for='data-5bcde687-4b98-427c-b2a3-5f50d5eec0b2' 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 temperature layer 1</dd><dt><span>short_name :</span></dt><dd>istl1</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_temperature_layer_2</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-62ece49f-5f12-467d-aa30-6bbf114fc839' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62ece49f-5f12-467d-aa30-6bbf114fc839' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52c55af5-5a59-485a-a303-96bc4d0384cf' class='xr-var-data-in' type='checkbox'><label for='data-52c55af5-5a59-485a-a303-96bc4d0384cf' 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 temperature layer 2</dd><dt><span>short_name :</span></dt><dd>istl2</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_temperature_layer_3</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-468815be-04e1-4030-bc94-38e852f6c45a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-468815be-04e1-4030-bc94-38e852f6c45a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e06ca1c-9579-4743-8aa3-3fe407a29c9f' class='xr-var-data-in' type='checkbox'><label for='data-1e06ca1c-9579-4743-8aa3-3fe407a29c9f' 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 temperature layer 3</dd><dt><span>short_name :</span></dt><dd>istl3</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_temperature_layer_4</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a8270646-3642-4feb-a80a-10983e4d4a5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8270646-3642-4feb-a80a-10983e4d4a5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43e5c089-41ed-4085-9cd4-32d1c17740ea' class='xr-var-data-in' type='checkbox'><label for='data-43e5c089-41ed-4085-9cd4-32d1c17740ea' 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 temperature layer 4</dd><dt><span>short_name :</span></dt><dd>istl4</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instantaneous_10m_wind_gust</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb9f3c67-ef95-4996-9fa5-9eb743014e3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb9f3c67-ef95-4996-9fa5-9eb743014e3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a92a5bf-7fe0-4828-bcd1-df5611925d62' class='xr-var-data-in' type='checkbox'><label for='data-3a92a5bf-7fe0-4828-bcd1-df5611925d62' 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>Instantaneous 10 metre wind gust</dd><dt><span>short_name :</span></dt><dd>i10fg</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instantaneous_eastward_turbulent_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c246d4ea-52a3-4cf3-aa08-35925e13853b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c246d4ea-52a3-4cf3-aa08-35925e13853b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41bb33a6-d7fb-4db7-98bd-72d11ba6ac14' class='xr-var-data-in' type='checkbox'><label for='data-41bb33a6-d7fb-4db7-98bd-72d11ba6ac14' 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>Instantaneous eastward turbulent surface stress</dd><dt><span>short_name :</span></dt><dd>iews</dd><dt><span>units :</span></dt><dd>N m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instantaneous_large_scale_surface_precipitation_fraction</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-02e447ae-7350-4e18-acf1-961255674f89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02e447ae-7350-4e18-acf1-961255674f89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48d0fd97-348d-47d7-90fa-9851f6930b25' class='xr-var-data-in' type='checkbox'><label for='data-48d0fd97-348d-47d7-90fa-9851f6930b25' 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>Instantaneous large-scale surface precipitation fraction</dd><dt><span>short_name :</span></dt><dd>ilspf</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instantaneous_moisture_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bf04045e-744f-4ef1-aa90-a0b49fa3646d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf04045e-744f-4ef1-aa90-a0b49fa3646d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-771076a2-f30e-4d0f-b394-0fe1d1d5515b' class='xr-var-data-in' type='checkbox'><label for='data-771076a2-f30e-4d0f-b394-0fe1d1d5515b' 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>Instantaneous moisture flux</dd><dt><span>short_name :</span></dt><dd>ie</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instantaneous_northward_turbulent_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30f20680-c327-4fdc-8cc6-cfa87bfacc00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30f20680-c327-4fdc-8cc6-cfa87bfacc00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb647480-b880-490e-ba78-f4c8d1b11b93' class='xr-var-data-in' type='checkbox'><label for='data-cb647480-b880-490e-ba78-f4c8d1b11b93' 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>Instantaneous northward turbulent surface stress</dd><dt><span>short_name :</span></dt><dd>inss</dd><dt><span>units :</span></dt><dd>N m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instantaneous_surface_sensible_heat_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0399ede1-39b1-4943-b8d2-1fc3d9b9c350' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0399ede1-39b1-4943-b8d2-1fc3d9b9c350' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcecf8e2-0ea1-43f2-8dc7-8b37e6d260f9' class='xr-var-data-in' type='checkbox'><label for='data-fcecf8e2-0ea1-43f2-8dc7-8b37e6d260f9' 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>Instantaneous surface sensible heat flux</dd><dt><span>short_name :</span></dt><dd>ishf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>k_index</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-23bb67ca-12b9-4415-8db4-d1ec93db28d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23bb67ca-12b9-4415-8db4-d1ec93db28d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0df90f6e-1414-4c4b-ae3d-6c60818b3f33' class='xr-var-data-in' type='checkbox'><label for='data-0df90f6e-1414-4c4b-ae3d-6c60818b3f33' 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>K index</dd><dt><span>short_name :</span></dt><dd>kx</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_bottom_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0329b793-6d2d-44b5-a822-f32ee524c345' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0329b793-6d2d-44b5-a822-f32ee524c345' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3b686b3-bc4b-42e7-953d-b25dda578a6b' class='xr-var-data-in' type='checkbox'><label for='data-e3b686b3-bc4b-42e7-953d-b25dda578a6b' 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>Lake bottom temperature</dd><dt><span>short_name :</span></dt><dd>lblt</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca2d30f6-3938-4091-bf65-c32b5f98d9c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca2d30f6-3938-4091-bf65-c32b5f98d9c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-205a8ef2-9947-43e9-97fe-298b4b046936' class='xr-var-data-in' type='checkbox'><label for='data-205a8ef2-9947-43e9-97fe-298b4b046936' 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>Lake cover</dd><dt><span>short_name :</span></dt><dd>cl</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_depth</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-00a0d6b7-5acc-4463-9d59-aa64dcba3efb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00a0d6b7-5acc-4463-9d59-aa64dcba3efb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0a6f01d-fa8b-4e2f-8275-ce3bc54985bb' class='xr-var-data-in' type='checkbox'><label for='data-a0a6f01d-fa8b-4e2f-8275-ce3bc54985bb' 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>Lake total depth</dd><dt><span>short_name :</span></dt><dd>dl</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_ice_depth</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-553722ce-0af9-4b30-9127-65b2ec3a7071' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-553722ce-0af9-4b30-9127-65b2ec3a7071' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d587587b-f1a4-4a1b-b392-b780cf911146' class='xr-var-data-in' type='checkbox'><label for='data-d587587b-f1a4-4a1b-b392-b780cf911146' 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>Lake ice total depth</dd><dt><span>short_name :</span></dt><dd>licd</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_ice_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-068e46f0-bacc-485e-8513-529b017ad191' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-068e46f0-bacc-485e-8513-529b017ad191' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69add3a9-793a-4bf2-bb0c-8b738a37e839' class='xr-var-data-in' type='checkbox'><label for='data-69add3a9-793a-4bf2-bb0c-8b738a37e839' 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>Lake ice surface temperature</dd><dt><span>short_name :</span></dt><dd>lict</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_mix_layer_depth</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-52b51a59-b85e-4265-aa6b-81926f773aa2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52b51a59-b85e-4265-aa6b-81926f773aa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5974c315-4ba4-4fb5-b541-7a86d57de4a9' class='xr-var-data-in' type='checkbox'><label for='data-5974c315-4ba4-4fb5-b541-7a86d57de4a9' 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>Lake mix-layer depth</dd><dt><span>short_name :</span></dt><dd>lmld</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_mix_layer_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c90a21ec-9eae-4914-bc91-64b94f1eb684' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c90a21ec-9eae-4914-bc91-64b94f1eb684' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24e0dbfa-c0ab-450d-baa6-319112f48f3e' class='xr-var-data-in' type='checkbox'><label for='data-24e0dbfa-c0ab-450d-baa6-319112f48f3e' 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>Lake mix-layer temperature</dd><dt><span>short_name :</span></dt><dd>lmlt</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_shape_factor</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4237a556-7832-4eb2-8750-65ce30c801a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4237a556-7832-4eb2-8750-65ce30c801a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-017efb46-0c3a-4a05-8c18-ca5eb2d54d0a' class='xr-var-data-in' type='checkbox'><label for='data-017efb46-0c3a-4a05-8c18-ca5eb2d54d0a' 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>Lake shape factor</dd><dt><span>short_name :</span></dt><dd>lshf</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_total_layer_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5dc068b2-2b0d-41b2-b063-f74028177fb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5dc068b2-2b0d-41b2-b063-f74028177fb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4a57299-cfd5-49b0-a1d6-2ee2bda04cc0' class='xr-var-data-in' type='checkbox'><label for='data-a4a57299-cfd5-49b0-a1d6-2ee2bda04cc0' 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>Lake total layer temperature</dd><dt><span>short_name :</span></dt><dd>ltlt</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_sea_mask</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-82d17bcd-d884-45b0-adf7-21c324d38f41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82d17bcd-d884-45b0-adf7-21c324d38f41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d13aefb-7172-4d3a-a4d9-c7163d8bd6cf' class='xr-var-data-in' type='checkbox'><label for='data-7d13aefb-7172-4d3a-a4d9-c7163d8bd6cf' 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>Land-sea mask</dd><dt><span>short_name :</span></dt><dd>lsm</dd><dt><span>standard_name :</span></dt><dd>land_binary_mask</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>large_scale_precipitation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-371f2e93-f4eb-4c90-bc7a-fb5936169772' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-371f2e93-f4eb-4c90-bc7a-fb5936169772' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af34941c-7e62-4713-9b3a-f665b2aa4356' class='xr-var-data-in' type='checkbox'><label for='data-af34941c-7e62-4713-9b3a-f665b2aa4356' 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>Large-scale precipitation</dd><dt><span>short_name :</span></dt><dd>lsp</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_stratiform_precipitation_amount</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>large_scale_precipitation_fraction</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3a223bb-91ef-41d4-8bc9-ed16d1d35d19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3a223bb-91ef-41d4-8bc9-ed16d1d35d19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cf7c132-5705-4d65-b3a3-dc0ffea2a1f0' class='xr-var-data-in' type='checkbox'><label for='data-9cf7c132-5705-4d65-b3a3-dc0ffea2a1f0' 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>Large-scale precipitation fraction</dd><dt><span>short_name :</span></dt><dd>lspf</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>large_scale_rain_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-886905c8-a88e-44ad-923b-f6f47b331f81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-886905c8-a88e-44ad-923b-f6f47b331f81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-447ff5ce-6a84-43ab-a4b4-92e1847b80f9' class='xr-var-data-in' type='checkbox'><label for='data-447ff5ce-6a84-43ab-a4b4-92e1847b80f9' 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>Large scale rain rate</dd><dt><span>short_name :</span></dt><dd>lsrr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>large_scale_snowfall</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b9bc585e-5194-41de-a488-f61e8676ee66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9bc585e-5194-41de-a488-f61e8676ee66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd3ea602-432b-4f51-aa21-c7ce0c9fa3d9' class='xr-var-data-in' type='checkbox'><label for='data-dd3ea602-432b-4f51-aa21-c7ce0c9fa3d9' 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>Large-scale snowfall</dd><dt><span>short_name :</span></dt><dd>lsf</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>large_scale_snowfall_rate_water_equivalent</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-220d446e-0fc0-4d98-8d05-dac7c07638e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-220d446e-0fc0-4d98-8d05-dac7c07638e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5dc0d8f-06ab-488f-816a-c9d8d30e9022' class='xr-var-data-in' type='checkbox'><label for='data-f5dc0d8f-06ab-488f-816a-c9d8d30e9022' 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>Large scale snowfall rate water equivalent</dd><dt><span>short_name :</span></dt><dd>lssfr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>leaf_area_index_high_vegetation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c4000a27-0796-4b8a-bc91-90dee9c48561' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4000a27-0796-4b8a-bc91-90dee9c48561' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed4719a7-dc9a-40cf-b052-d350d2b91d2d' class='xr-var-data-in' type='checkbox'><label for='data-ed4719a7-dc9a-40cf-b052-d350d2b91d2d' 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>Leaf area index, high vegetation</dd><dt><span>short_name :</span></dt><dd>lai_hv</dd><dt><span>units :</span></dt><dd>m**2 m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>leaf_area_index_low_vegetation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1784aa86-8132-43da-966a-5aae61c61f86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1784aa86-8132-43da-966a-5aae61c61f86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-101bb10a-4729-4443-bafb-53011f853035' class='xr-var-data-in' type='checkbox'><label for='data-101bb10a-4729-4443-bafb-53011f853035' 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>Leaf area index, low vegetation</dd><dt><span>short_name :</span></dt><dd>lai_lv</dd><dt><span>units :</span></dt><dd>m**2 m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_cloud_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b573503d-0313-4ac0-93f0-dc73d1200f2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b573503d-0313-4ac0-93f0-dc73d1200f2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2560607-8632-4970-a8df-9e9e0897ff38' class='xr-var-data-in' type='checkbox'><label for='data-c2560607-8632-4970-a8df-9e9e0897ff38' 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>Low cloud cover</dd><dt><span>short_name :</span></dt><dd>lcc</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_vegetation_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c2e0d102-8327-4745-9a10-7995304f3cda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2e0d102-8327-4745-9a10-7995304f3cda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3855f51a-f96c-497d-832e-56fc7d9785e9' class='xr-var-data-in' type='checkbox'><label for='data-3855f51a-f96c-497d-832e-56fc7d9785e9' 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>Low vegetation cover</dd><dt><span>short_name :</span></dt><dd>cvl</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maximum_2m_temperature_since_previous_post_processing</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dddf4e34-0305-4d28-8505-9c9338b0edb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dddf4e34-0305-4d28-8505-9c9338b0edb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10e58e31-37aa-4092-a739-d74c5de7f8c9' class='xr-var-data-in' type='checkbox'><label for='data-10e58e31-37aa-4092-a739-d74c5de7f8c9' 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>Maximum temperature at 2 metres since previous post-processing</dd><dt><span>short_name :</span></dt><dd>mx2t</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maximum_individual_wave_height</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-276b05d3-fef3-48d4-b4f6-8fa138c06d93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-276b05d3-fef3-48d4-b4f6-8fa138c06d93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17918a7b-5637-4b98-8374-6bcd146b4f43' class='xr-var-data-in' type='checkbox'><label for='data-17918a7b-5637-4b98-8374-6bcd146b4f43' 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>Maximum individual wave height</dd><dt><span>short_name :</span></dt><dd>hmax</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maximum_total_precipitation_rate_since_previous_post_processing</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b313459a-c8e3-44de-9a7f-0dd6118be2a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b313459a-c8e3-44de-9a7f-0dd6118be2a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ebba8e5-6411-47a8-bff1-2ee44efc7225' class='xr-var-data-in' type='checkbox'><label for='data-8ebba8e5-6411-47a8-bff1-2ee44efc7225' 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>Maximum total precipitation rate since previous post-processing</dd><dt><span>short_name :</span></dt><dd>mxtpr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_boundary_layer_dissipation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0e0efa99-0ba0-43d1-af57-1e783f01d9a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e0efa99-0ba0-43d1-af57-1e783f01d9a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90ec116b-6a26-4bdc-8afb-e6db94ab30e9' class='xr-var-data-in' type='checkbox'><label for='data-90ec116b-6a26-4bdc-8afb-e6db94ab30e9' 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>Mean boundary layer dissipation</dd><dt><span>short_name :</span></dt><dd>mbld</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_convective_precipitation_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a7d8c8fd-bf21-422b-9eeb-327f5a8ab927' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7d8c8fd-bf21-422b-9eeb-327f5a8ab927' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe21637c-b7d4-4439-ac87-58d34cf7c846' class='xr-var-data-in' type='checkbox'><label for='data-fe21637c-b7d4-4439-ac87-58d34cf7c846' 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>Mean convective precipitation rate</dd><dt><span>short_name :</span></dt><dd>mcpr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_convective_snowfall_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-797084f6-cb3c-4965-acd9-652311843e11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-797084f6-cb3c-4965-acd9-652311843e11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c474905-cfb2-4da3-a609-609e07e037d3' class='xr-var-data-in' type='checkbox'><label for='data-1c474905-cfb2-4da3-a609-609e07e037d3' 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>Mean convective snowfall rate</dd><dt><span>short_name :</span></dt><dd>mcsr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_direction_of_total_swell</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-32b83309-a61e-4cd3-9a41-2425ad65004a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32b83309-a61e-4cd3-9a41-2425ad65004a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9ec8faf-c496-49be-8d32-5e92b3d4f820' class='xr-var-data-in' type='checkbox'><label for='data-d9ec8faf-c496-49be-8d32-5e92b3d4f820' 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>Mean direction of total swell</dd><dt><span>short_name :</span></dt><dd>mdts</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_direction_of_wind_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f127004a-855b-4506-a618-71a9749c251e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f127004a-855b-4506-a618-71a9749c251e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfc62fb4-c9db-4fbf-8d28-9950839c658c' class='xr-var-data-in' type='checkbox'><label for='data-bfc62fb4-c9db-4fbf-8d28-9950839c658c' 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>Mean direction of wind waves</dd><dt><span>short_name :</span></dt><dd>mdww</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_eastward_gravity_wave_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9cd08b76-4e20-4818-8887-75c63a9c5b9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cd08b76-4e20-4818-8887-75c63a9c5b9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3b617d3-81a1-4810-85da-302b2cba6203' class='xr-var-data-in' type='checkbox'><label for='data-c3b617d3-81a1-4810-85da-302b2cba6203' 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>Mean eastward gravity wave surface stress</dd><dt><span>short_name :</span></dt><dd>megwss</dd><dt><span>units :</span></dt><dd>N m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_eastward_turbulent_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ef0f2e3-8a23-4953-8a1d-31da8a271678' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ef0f2e3-8a23-4953-8a1d-31da8a271678' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13dc9578-5187-4e7d-912f-d8c7f16878c0' class='xr-var-data-in' type='checkbox'><label for='data-13dc9578-5187-4e7d-912f-d8c7f16878c0' 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>Mean eastward turbulent surface stress</dd><dt><span>short_name :</span></dt><dd>metss</dd><dt><span>units :</span></dt><dd>N m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_evaporation_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8d6981a1-3758-4f75-8ca1-e6a232dd8d8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d6981a1-3758-4f75-8ca1-e6a232dd8d8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2515975a-0a50-4e50-847e-5cb95c4ce295' class='xr-var-data-in' type='checkbox'><label for='data-2515975a-0a50-4e50-847e-5cb95c4ce295' 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>Mean evaporation rate</dd><dt><span>short_name :</span></dt><dd>mer</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_gravity_wave_dissipation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f0aa33d4-2e53-436d-afe6-6759d64e22bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0aa33d4-2e53-436d-afe6-6759d64e22bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d8de617-a4ff-481b-bf40-a76dca33fd70' class='xr-var-data-in' type='checkbox'><label for='data-8d8de617-a4ff-481b-bf40-a76dca33fd70' 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>Mean gravity wave dissipation</dd><dt><span>short_name :</span></dt><dd>mgwd</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_large_scale_precipitation_fraction</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9e4ce20e-1b3b-4fda-9c98-3626561f487f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e4ce20e-1b3b-4fda-9c98-3626561f487f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f22b7f11-b7b2-4295-805a-15fcc29c119a' class='xr-var-data-in' type='checkbox'><label for='data-f22b7f11-b7b2-4295-805a-15fcc29c119a' 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>Mean large-scale precipitation fraction</dd><dt><span>short_name :</span></dt><dd>mlspf</dd><dt><span>units :</span></dt><dd>Proportion</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_large_scale_precipitation_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-215aca70-b58a-4d22-9074-127ce37240a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-215aca70-b58a-4d22-9074-127ce37240a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a50fa3bf-68d9-45b4-99dd-af99ce11b81a' class='xr-var-data-in' type='checkbox'><label for='data-a50fa3bf-68d9-45b4-99dd-af99ce11b81a' 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>Mean large-scale precipitation rate</dd><dt><span>short_name :</span></dt><dd>mlspr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_large_scale_snowfall_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bdb63b1f-ec4a-4500-a1c2-6d428e9a1079' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bdb63b1f-ec4a-4500-a1c2-6d428e9a1079' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e8a4db2-2899-4c17-bb3b-1eb2ccefcf3e' class='xr-var-data-in' type='checkbox'><label for='data-7e8a4db2-2899-4c17-bb3b-1eb2ccefcf3e' 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>Mean large-scale snowfall rate</dd><dt><span>short_name :</span></dt><dd>mlssr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_northward_gravity_wave_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d7dc6667-66b7-4834-9398-45474af99173' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7dc6667-66b7-4834-9398-45474af99173' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3cb21a5-e46e-48e8-8224-3b38c5542a7d' class='xr-var-data-in' type='checkbox'><label for='data-e3cb21a5-e46e-48e8-8224-3b38c5542a7d' 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>Mean northward gravity wave surface stress</dd><dt><span>short_name :</span></dt><dd>mngwss</dd><dt><span>units :</span></dt><dd>N m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_northward_turbulent_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-99a899ae-61ca-4c92-bbc4-e8cb6adfcfa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99a899ae-61ca-4c92-bbc4-e8cb6adfcfa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-429e2436-4682-46f8-b3cf-3f4b972e4f67' class='xr-var-data-in' type='checkbox'><label for='data-429e2436-4682-46f8-b3cf-3f4b972e4f67' 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>Mean northward turbulent surface stress</dd><dt><span>short_name :</span></dt><dd>mntss</dd><dt><span>units :</span></dt><dd>N m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_period_of_total_swell</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-05e3486e-666e-43f8-8f28-2eea60cc0319' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05e3486e-666e-43f8-8f28-2eea60cc0319' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c13b1db7-274f-47f2-b7ea-d798ea588016' class='xr-var-data-in' type='checkbox'><label for='data-c13b1db7-274f-47f2-b7ea-d798ea588016' 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>Mean period of total swell</dd><dt><span>short_name :</span></dt><dd>mpts</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_period_of_wind_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f81759c6-1a7d-4715-809b-d2c275b71533' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f81759c6-1a7d-4715-809b-d2c275b71533' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51be7bf0-f05c-4d08-b0b4-29312f9f83cc' class='xr-var-data-in' type='checkbox'><label for='data-51be7bf0-f05c-4d08-b0b4-29312f9f83cc' 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>Mean period of wind waves</dd><dt><span>short_name :</span></dt><dd>mpww</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_potential_evaporation_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2821de01-0fc5-4656-ab81-99c684e84acc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2821de01-0fc5-4656-ab81-99c684e84acc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b597e96f-5667-4221-83f8-4d80a279d762' class='xr-var-data-in' type='checkbox'><label for='data-b597e96f-5667-4221-83f8-4d80a279d762' 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>Mean potential evaporation rate</dd><dt><span>short_name :</span></dt><dd>mper</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_runoff_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c3cf49e0-7341-407f-b712-bbd01aa3e499' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3cf49e0-7341-407f-b712-bbd01aa3e499' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5090a005-6717-46df-9500-b58d00aadd58' class='xr-var-data-in' type='checkbox'><label for='data-5090a005-6717-46df-9500-b58d00aadd58' 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>Mean runoff rate</dd><dt><span>short_name :</span></dt><dd>mror</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_level_pressure</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bee21fc2-1d6b-4d85-98fa-36f633409699' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bee21fc2-1d6b-4d85-98fa-36f633409699' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02f31729-060c-4a21-8c19-96704f89eb34' class='xr-var-data-in' type='checkbox'><label for='data-02f31729-060c-4a21-8c19-96704f89eb34' 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>Mean sea level pressure</dd><dt><span>short_name :</span></dt><dd>msl</dd><dt><span>standard_name :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_snow_evaporation_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-39fd00a6-83e5-479a-b127-038174725fc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39fd00a6-83e5-479a-b127-038174725fc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fb71570-ac7e-4e49-87da-d9c8c78ae851' class='xr-var-data-in' type='checkbox'><label for='data-2fb71570-ac7e-4e49-87da-d9c8c78ae851' 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>Mean snow evaporation rate</dd><dt><span>short_name :</span></dt><dd>mser</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_snowfall_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8f7386ac-dfb3-4120-b190-03304dacfb80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f7386ac-dfb3-4120-b190-03304dacfb80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aafa53ae-562d-4d86-96c1-83a5e1c8d017' class='xr-var-data-in' type='checkbox'><label for='data-aafa53ae-562d-4d86-96c1-83a5e1c8d017' 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>Mean snowfall rate</dd><dt><span>short_name :</span></dt><dd>msr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_snowmelt_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e1bc2c4b-c665-4401-a225-061bada75548' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1bc2c4b-c665-4401-a225-061bada75548' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88192c39-ea95-46f5-b210-8c163d1b1035' class='xr-var-data-in' type='checkbox'><label for='data-88192c39-ea95-46f5-b210-8c163d1b1035' 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>Mean snowmelt rate</dd><dt><span>short_name :</span></dt><dd>msmr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_square_slope_of_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-13c2a025-080e-41e7-a0a8-156d358e5c3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13c2a025-080e-41e7-a0a8-156d358e5c3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc6d9e97-a464-4523-98c5-4f826f1bcd96' class='xr-var-data-in' type='checkbox'><label for='data-fc6d9e97-a464-4523-98c5-4f826f1bcd96' 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>Mean square slope of waves</dd><dt><span>short_name :</span></dt><dd>msqs</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sub_surface_runoff_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eef08965-e52e-4e58-9024-0dbc07d168ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eef08965-e52e-4e58-9024-0dbc07d168ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-998d1017-cc70-49d5-ae3b-99fb000cff7b' class='xr-var-data-in' type='checkbox'><label for='data-998d1017-cc70-49d5-ae3b-99fb000cff7b' 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>Mean sub-surface runoff rate</dd><dt><span>short_name :</span></dt><dd>mssror</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_direct_short_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f0f0a11e-eb69-42b3-a226-c7c95137e0ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0f0a11e-eb69-42b3-a226-c7c95137e0ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a9e3c30-b59c-4655-971a-a6efc74c4693' class='xr-var-data-in' type='checkbox'><label for='data-6a9e3c30-b59c-4655-971a-a6efc74c4693' 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>Mean surface direct short-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>msdrswrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_direct_short_wave_radiation_flux_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-003b0453-24ba-4524-a330-0f6590d33c66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-003b0453-24ba-4524-a330-0f6590d33c66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-365dd768-1871-42bc-b514-af3dac5e04af' class='xr-var-data-in' type='checkbox'><label for='data-365dd768-1871-42bc-b514-af3dac5e04af' 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>Mean surface direct short-wave radiation flux, clear sky</dd><dt><span>short_name :</span></dt><dd>msdrswrfcs</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_downward_long_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-abb561f3-4af2-4dda-a9af-f20e8eed06b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abb561f3-4af2-4dda-a9af-f20e8eed06b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-225a3312-e339-40ad-9dc6-d6cb23227dc2' class='xr-var-data-in' type='checkbox'><label for='data-225a3312-e339-40ad-9dc6-d6cb23227dc2' 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>Mean surface downward long-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>msdwlwrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_downward_long_wave_radiation_flux_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2e07bdc7-6dbd-41a4-a907-13a2c782146f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e07bdc7-6dbd-41a4-a907-13a2c782146f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4855307d-d065-400b-a6b1-b96bb55dac3c' class='xr-var-data-in' type='checkbox'><label for='data-4855307d-d065-400b-a6b1-b96bb55dac3c' 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>Mean surface downward long-wave radiation flux, clear sky</dd><dt><span>short_name :</span></dt><dd>msdwlwrfcs</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_downward_short_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-97df4c32-9c70-4a20-a0ba-87dcc6dc8560' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97df4c32-9c70-4a20-a0ba-87dcc6dc8560' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4300e379-0ee5-4da3-8d23-4afd4d9e95da' class='xr-var-data-in' type='checkbox'><label for='data-4300e379-0ee5-4da3-8d23-4afd4d9e95da' 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>Mean surface downward short-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>msdwswrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_downward_short_wave_radiation_flux_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-46e277e8-6d94-42dd-ad39-9c0a798c9c7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46e277e8-6d94-42dd-ad39-9c0a798c9c7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2f8464d-a487-4697-b047-d40383daac03' class='xr-var-data-in' type='checkbox'><label for='data-d2f8464d-a487-4697-b047-d40383daac03' 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>Mean surface downward short-wave radiation flux, clear sky</dd><dt><span>short_name :</span></dt><dd>msdwswrfcs</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_downward_uv_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd71fc68-e5b5-40d7-a0d0-38647d9b16d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd71fc68-e5b5-40d7-a0d0-38647d9b16d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b41ca020-0b03-4ec5-bc39-b5639030e9f8' class='xr-var-data-in' type='checkbox'><label for='data-b41ca020-0b03-4ec5-bc39-b5639030e9f8' 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>Mean surface downward UV radiation flux</dd><dt><span>short_name :</span></dt><dd>msdwuvrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_latent_heat_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3604c4dd-8048-4fcf-a5a6-7c2792b2809e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3604c4dd-8048-4fcf-a5a6-7c2792b2809e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c7f6e3f-9df0-4e7c-b758-a8fcc580957c' class='xr-var-data-in' type='checkbox'><label for='data-7c7f6e3f-9df0-4e7c-b758-a8fcc580957c' 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>Mean surface latent heat flux</dd><dt><span>short_name :</span></dt><dd>mslhf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_net_long_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a9858649-6121-42cf-a420-762dcdbcbb48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9858649-6121-42cf-a420-762dcdbcbb48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31bcdcc8-7ce3-4d3f-9642-0e90c763b16b' class='xr-var-data-in' type='checkbox'><label for='data-31bcdcc8-7ce3-4d3f-9642-0e90c763b16b' 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>Mean surface net long-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>msnlwrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_net_long_wave_radiation_flux_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a2fc8736-d5aa-49b3-a030-fd05b4844a0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2fc8736-d5aa-49b3-a030-fd05b4844a0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6884b8c2-974e-48aa-b09b-7b19f25ed74f' class='xr-var-data-in' type='checkbox'><label for='data-6884b8c2-974e-48aa-b09b-7b19f25ed74f' 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>Mean surface net long-wave radiation flux, clear sky</dd><dt><span>short_name :</span></dt><dd>msnlwrfcs</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_net_short_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa5f769a-a7fb-4aff-b429-6acfc9b93317' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa5f769a-a7fb-4aff-b429-6acfc9b93317' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e5b4fcc-3fda-43e6-800c-eb195dff11ae' class='xr-var-data-in' type='checkbox'><label for='data-9e5b4fcc-3fda-43e6-800c-eb195dff11ae' 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>Mean surface net short-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>msnswrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_net_short_wave_radiation_flux_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e60c3c30-67b1-4e53-b423-7fa881c19f50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e60c3c30-67b1-4e53-b423-7fa881c19f50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9108194f-d86b-4c7b-a028-530f93fe473c' class='xr-var-data-in' type='checkbox'><label for='data-9108194f-d86b-4c7b-a028-530f93fe473c' 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>Mean surface net short-wave radiation flux, clear sky</dd><dt><span>short_name :</span></dt><dd>msnswrfcs</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_runoff_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7dfe168c-5643-49d2-8971-71de902369ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7dfe168c-5643-49d2-8971-71de902369ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56ae6875-1ba7-408c-be19-0e11e0bf3f3e' class='xr-var-data-in' type='checkbox'><label for='data-56ae6875-1ba7-408c-be19-0e11e0bf3f3e' 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>Mean surface runoff rate</dd><dt><span>short_name :</span></dt><dd>msror</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_sensible_heat_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9025fcec-d31c-415b-af67-fdd6d22b8387' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9025fcec-d31c-415b-af67-fdd6d22b8387' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34122a4a-ea85-4639-a7cb-08c6e3b32651' class='xr-var-data-in' type='checkbox'><label for='data-34122a4a-ea85-4639-a7cb-08c6e3b32651' 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>Mean surface sensible heat flux</dd><dt><span>short_name :</span></dt><dd>msshf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_top_downward_short_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1480a165-e441-452d-a549-7dd8e6d7eef8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1480a165-e441-452d-a549-7dd8e6d7eef8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1993829-dc02-4b63-b769-33adc2d84669' class='xr-var-data-in' type='checkbox'><label for='data-c1993829-dc02-4b63-b769-33adc2d84669' 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>Mean top downward short-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>mtdwswrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_top_net_long_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b034feea-5b86-45c0-a43c-24218bd35b16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b034feea-5b86-45c0-a43c-24218bd35b16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b74788d7-7c15-4efd-bfdf-25b88ec731ee' class='xr-var-data-in' type='checkbox'><label for='data-b74788d7-7c15-4efd-bfdf-25b88ec731ee' 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>Mean top net long-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>mtnlwrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_top_net_long_wave_radiation_flux_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e73dd0fd-63c3-4bd4-8946-8deacbc33c35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e73dd0fd-63c3-4bd4-8946-8deacbc33c35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ca633c6-9716-40ba-b3ca-b637ba3d210d' class='xr-var-data-in' type='checkbox'><label for='data-9ca633c6-9716-40ba-b3ca-b637ba3d210d' 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>Mean top net long-wave radiation flux, clear sky</dd><dt><span>short_name :</span></dt><dd>mtnlwrfcs</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_top_net_short_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d2f7105-0f1a-4f12-b6ef-9ad5435fba47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d2f7105-0f1a-4f12-b6ef-9ad5435fba47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-817000c9-a510-41b3-8678-167689711415' class='xr-var-data-in' type='checkbox'><label for='data-817000c9-a510-41b3-8678-167689711415' 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>Mean top net short-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>mtnswrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_top_net_short_wave_radiation_flux_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-def56c7a-6342-4c8a-9f11-9cff68deb46f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-def56c7a-6342-4c8a-9f11-9cff68deb46f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49ee5a5c-b1a8-4f17-9540-05c443e8bde5' class='xr-var-data-in' type='checkbox'><label for='data-49ee5a5c-b1a8-4f17-9540-05c443e8bde5' 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>Mean top net short-wave radiation flux, clear sky</dd><dt><span>short_name :</span></dt><dd>mtnswrfcs</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_total_precipitation_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3bfadcd0-a87c-4eb1-aa0d-2d29a4005c54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bfadcd0-a87c-4eb1-aa0d-2d29a4005c54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5663906a-3049-413d-9cad-42522bfaddc3' class='xr-var-data-in' type='checkbox'><label for='data-5663906a-3049-413d-9cad-42522bfaddc3' 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>Mean total precipitation rate</dd><dt><span>short_name :</span></dt><dd>mtpr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_vertical_gradient_of_refractivity_inside_trapping_layer</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7d4fa967-d74e-4e42-afd3-53d76f95a21f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d4fa967-d74e-4e42-afd3-53d76f95a21f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8efbcab-037b-4e6b-8c8f-6408a64dc63c' class='xr-var-data-in' type='checkbox'><label for='data-a8efbcab-037b-4e6b-8c8f-6408a64dc63c' 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>Mean vertical gradient of refractivity inside trapping layer</dd><dt><span>short_name :</span></dt><dd>dndza</dd><dt><span>units :</span></dt><dd>m**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_vertically_integrated_moisture_divergence</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-af707a08-04cd-4975-9d66-d0eb7465c2db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af707a08-04cd-4975-9d66-d0eb7465c2db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6bddc20-b36a-4053-a04a-061e73285c35' class='xr-var-data-in' type='checkbox'><label for='data-e6bddc20-b36a-4053-a04a-061e73285c35' 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>Mean vertically integrated moisture divergence</dd><dt><span>short_name :</span></dt><dd>mvimd</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_direction</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c8541616-7ea3-4c79-8ba1-50205d345bb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8541616-7ea3-4c79-8ba1-50205d345bb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b1d9521-b132-4223-ba67-7ab75c553bb8' class='xr-var-data-in' type='checkbox'><label for='data-8b1d9521-b132-4223-ba67-7ab75c553bb8' 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>Mean wave direction</dd><dt><span>short_name :</span></dt><dd>mwd</dd><dt><span>units :</span></dt><dd>Degree true</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_direction_of_first_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-53a43c05-f54b-440d-ac94-2a3356ee75ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53a43c05-f54b-440d-ac94-2a3356ee75ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44393cef-0c7a-42d2-8fb3-dc50e92131da' class='xr-var-data-in' type='checkbox'><label for='data-44393cef-0c7a-42d2-8fb3-dc50e92131da' 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>Mean wave direction of first swell partition</dd><dt><span>short_name :</span></dt><dd>p140122</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_direction_of_second_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9d43953b-8527-45c9-80e5-114fafa10b62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d43953b-8527-45c9-80e5-114fafa10b62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ff1fa07-0947-4323-abfc-ce8b3d87decf' class='xr-var-data-in' type='checkbox'><label for='data-4ff1fa07-0947-4323-abfc-ce8b3d87decf' 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>Mean wave direction of second swell partition</dd><dt><span>short_name :</span></dt><dd>p140125</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_direction_of_third_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8b61b2e2-c088-4413-8f59-d6d41a535814' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b61b2e2-c088-4413-8f59-d6d41a535814' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38c0d798-10e8-442b-b05f-0b3da092d8ec' class='xr-var-data-in' type='checkbox'><label for='data-38c0d798-10e8-442b-b05f-0b3da092d8ec' 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>Mean wave direction of third swell partition</dd><dt><span>short_name :</span></dt><dd>p140128</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7fd9b7d8-986e-4d42-a46c-af6bae5a7a2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fd9b7d8-986e-4d42-a46c-af6bae5a7a2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-723e28a2-18ce-407a-ae34-23fd3e8e2a43' class='xr-var-data-in' type='checkbox'><label for='data-723e28a2-18ce-407a-ae34-23fd3e8e2a43' 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>Mean wave period</dd><dt><span>short_name :</span></dt><dd>mwp</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_based_on_first_moment</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3f4ef128-62e0-4a8f-a807-1e63afc7a48a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f4ef128-62e0-4a8f-a807-1e63afc7a48a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a259a93-255a-4779-b2b0-20c7f0f47acb' class='xr-var-data-in' type='checkbox'><label for='data-9a259a93-255a-4779-b2b0-20c7f0f47acb' 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>Mean wave period based on first moment</dd><dt><span>short_name :</span></dt><dd>mp1</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_based_on_first_moment_for_swell</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb9e588d-2d67-4049-9219-b7cb91727396' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb9e588d-2d67-4049-9219-b7cb91727396' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0144f583-c9e9-4bbf-be3d-10b051afafa1' class='xr-var-data-in' type='checkbox'><label for='data-0144f583-c9e9-4bbf-be3d-10b051afafa1' 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>Mean wave period based on first moment for swell</dd><dt><span>short_name :</span></dt><dd>p1ps</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_based_on_first_moment_for_wind_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-99415452-758a-4881-97af-127818f9dc28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99415452-758a-4881-97af-127818f9dc28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3bc80a7-9e62-4711-b3d9-eea2cb6d422f' class='xr-var-data-in' type='checkbox'><label for='data-a3bc80a7-9e62-4711-b3d9-eea2cb6d422f' 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>Mean wave period based on first moment for wind waves</dd><dt><span>short_name :</span></dt><dd>p1ww</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_based_on_second_moment_for_swell</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b565fae4-b601-40a3-9723-00b94f8b23cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b565fae4-b601-40a3-9723-00b94f8b23cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b453b201-6eba-4632-8dfb-e914aaf42158' class='xr-var-data-in' type='checkbox'><label for='data-b453b201-6eba-4632-8dfb-e914aaf42158' 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>Mean wave period based on second moment for swell</dd><dt><span>short_name :</span></dt><dd>p2ps</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_based_on_second_moment_for_wind_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0cdf37f5-cc26-4a31-a926-0ab6543bdc23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cdf37f5-cc26-4a31-a926-0ab6543bdc23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea2681b4-b902-4f12-865c-ebc71e93a196' class='xr-var-data-in' type='checkbox'><label for='data-ea2681b4-b902-4f12-865c-ebc71e93a196' 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>Mean wave period based on second moment for wind waves</dd><dt><span>short_name :</span></dt><dd>p2ww</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_of_first_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-78fe5170-8a06-473c-81f6-e3aefb5aa7ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78fe5170-8a06-473c-81f6-e3aefb5aa7ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c83725a6-d8db-4f71-aef9-95f4bd3cf271' class='xr-var-data-in' type='checkbox'><label for='data-c83725a6-d8db-4f71-aef9-95f4bd3cf271' 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>Mean wave period of first swell partition</dd><dt><span>short_name :</span></dt><dd>p140123</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_of_second_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4e170524-55e2-4d3c-af2d-4ec9d325a1b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e170524-55e2-4d3c-af2d-4ec9d325a1b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beeed9b4-7966-41f9-a939-14e531943d72' class='xr-var-data-in' type='checkbox'><label for='data-beeed9b4-7966-41f9-a939-14e531943d72' 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>Mean wave period of second swell partition</dd><dt><span>short_name :</span></dt><dd>p140126</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_of_third_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-18f1cff4-0631-4542-828a-bced4628bbfd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18f1cff4-0631-4542-828a-bced4628bbfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d866e15-09cf-4734-a704-0e4192ee244e' class='xr-var-data-in' type='checkbox'><label for='data-2d866e15-09cf-4734-a704-0e4192ee244e' 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>Mean wave period of third swell partition</dd><dt><span>short_name :</span></dt><dd>p140129</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_zero_crossing_wave_period</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c8e0f81-731a-40d7-977e-342181afdfeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c8e0f81-731a-40d7-977e-342181afdfeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bb909e0-52b8-45cf-b4b6-15c823044729' class='xr-var-data-in' type='checkbox'><label for='data-2bb909e0-52b8-45cf-b4b6-15c823044729' 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>Mean zero-crossing wave period</dd><dt><span>short_name :</span></dt><dd>mp2</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>medium_cloud_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-242ed0a9-e451-4433-9097-0b423bf6f29c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-242ed0a9-e451-4433-9097-0b423bf6f29c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d26a170-e10a-4f5e-9966-e724133db57d' class='xr-var-data-in' type='checkbox'><label for='data-0d26a170-e10a-4f5e-9966-e724133db57d' 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>Medium cloud cover</dd><dt><span>short_name :</span></dt><dd>mcc</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>minimum_2m_temperature_since_previous_post_processing</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-85136bea-0a92-4c96-b75d-f77294aeaed8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85136bea-0a92-4c96-b75d-f77294aeaed8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-949c933a-5039-4e13-8a06-fbea364d2c29' class='xr-var-data-in' type='checkbox'><label for='data-949c933a-5039-4e13-8a06-fbea364d2c29' 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>Minimum temperature at 2 metres since previous post-processing</dd><dt><span>short_name :</span></dt><dd>mn2t</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>minimum_total_precipitation_rate_since_previous_post_processing</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d37847d-5aca-4dc9-8bb5-6fbf9482f126' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d37847d-5aca-4dc9-8bb5-6fbf9482f126' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe471579-31c4-4634-b445-8a9ef8f8c81d' class='xr-var-data-in' type='checkbox'><label for='data-fe471579-31c4-4634-b445-8a9ef8f8c81d' 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>Minimum total precipitation rate since previous post-processing</dd><dt><span>short_name :</span></dt><dd>mntpr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>minimum_vertical_gradient_of_refractivity_inside_trapping_layer</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-93bf8b4a-36cb-4e28-bb8c-c328b8867615' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93bf8b4a-36cb-4e28-bb8c-c328b8867615' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c360d31-0bd5-4f96-931b-f859c7d1507a' class='xr-var-data-in' type='checkbox'><label for='data-4c360d31-0bd5-4f96-931b-f859c7d1507a' 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>Minimum vertical gradient of refractivity inside trapping layer</dd><dt><span>short_name :</span></dt><dd>dndzn</dd><dt><span>units :</span></dt><dd>m**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>model_bathymetry</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3202bbc7-0ba7-486d-bf1a-a76b9564449b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3202bbc7-0ba7-486d-bf1a-a76b9564449b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6248603-3b13-4c47-96ee-d3281d954777' class='xr-var-data-in' type='checkbox'><label for='data-a6248603-3b13-4c47-96ee-d3281d954777' 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>Model bathymetry</dd><dt><span>short_name :</span></dt><dd>wmb</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>near_ir_albedo_for_diffuse_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad3ba656-1682-44c9-8522-d7e9bc47bc97' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad3ba656-1682-44c9-8522-d7e9bc47bc97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-310a34cf-69ff-4b56-8904-332bd4b04fa8' class='xr-var-data-in' type='checkbox'><label for='data-310a34cf-69ff-4b56-8904-332bd4b04fa8' 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>Near IR albedo for diffuse radiation</dd><dt><span>short_name :</span></dt><dd>alnid</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>near_ir_albedo_for_direct_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0aee807f-4286-42a8-936e-801e9ef28a7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0aee807f-4286-42a8-936e-801e9ef28a7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f96d0825-f037-41e4-b158-e309a42dba51' class='xr-var-data-in' type='checkbox'><label for='data-f96d0825-f037-41e4-b158-e309a42dba51' 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>Near IR albedo for direct radiation</dd><dt><span>short_name :</span></dt><dd>alnip</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>normalized_energy_flux_into_ocean</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1832e413-14e3-4337-873d-8394d3a6f2c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1832e413-14e3-4337-873d-8394d3a6f2c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e1b29f6-44f2-4840-954d-4bc1a4eb847f' class='xr-var-data-in' type='checkbox'><label for='data-0e1b29f6-44f2-4840-954d-4bc1a4eb847f' 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>Normalized energy flux into ocean</dd><dt><span>short_name :</span></dt><dd>phioc</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>normalized_energy_flux_into_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b7debf20-79a9-4022-a322-0a5653f07bab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7debf20-79a9-4022-a322-0a5653f07bab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9211d6a-eaf7-42fd-bc16-b56fe4bac80c' class='xr-var-data-in' type='checkbox'><label for='data-b9211d6a-eaf7-42fd-bc16-b56fe4bac80c' 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>Normalized energy flux into waves</dd><dt><span>short_name :</span></dt><dd>phiaw</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>normalized_stress_into_ocean</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-361648fd-aaf4-4ea4-9ec0-03245d5ce32e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-361648fd-aaf4-4ea4-9ec0-03245d5ce32e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39dc0b95-7a50-43df-8109-67ae880dee0f' class='xr-var-data-in' type='checkbox'><label for='data-39dc0b95-7a50-43df-8109-67ae880dee0f' 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>Normalized stress into ocean</dd><dt><span>short_name :</span></dt><dd>tauoc</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_gravity_wave_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e54b8a6-be8f-4aab-9bbe-ad7439249e20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e54b8a6-be8f-4aab-9bbe-ad7439249e20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c693580-9e0b-440c-bc95-e737969064e8' class='xr-var-data-in' type='checkbox'><label for='data-9c693580-9e0b-440c-bc95-e737969064e8' 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>Northward gravity wave surface stress</dd><dt><span>short_name :</span></dt><dd>mgws</dd><dt><span>units :</span></dt><dd>N m**-2 s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_turbulent_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4409dab9-659c-449b-9ba0-5ec6b98da5f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4409dab9-659c-449b-9ba0-5ec6b98da5f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80900723-8eb6-4ca1-bc28-71c850eea6da' class='xr-var-data-in' type='checkbox'><label for='data-80900723-8eb6-4ca1-bc28-71c850eea6da' 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>Northward turbulent surface stress</dd><dt><span>short_name :</span></dt><dd>nsss</dd><dt><span>standard_name :</span></dt><dd>surface_downward_northward_stress</dd><dt><span>units :</span></dt><dd>N m**-2 s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_surface_stress_equivalent_10m_neutral_wind_direction</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b45bb52c-f8d1-4cfe-9d00-1322bc51f015' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b45bb52c-f8d1-4cfe-9d00-1322bc51f015' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6664162f-f00f-4275-bce6-5914dc16ff83' class='xr-var-data-in' type='checkbox'><label for='data-6664162f-f00f-4275-bce6-5914dc16ff83' 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>10 metre wind direction</dd><dt><span>short_name :</span></dt><dd>dwi</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_surface_stress_equivalent_10m_neutral_wind_speed</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-467c46e5-07a1-41bf-87bd-a6fe8f553e49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-467c46e5-07a1-41bf-87bd-a6fe8f553e49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15565140-3b0f-441c-9c3f-72727960fc7a' class='xr-var-data-in' type='checkbox'><label for='data-15565140-3b0f-441c-9c3f-72727960fc7a' 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>10 metre wind speed</dd><dt><span>short_name :</span></dt><dd>wind</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ozone_mass_mixing_ratio</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-74eb247e-9ecb-4382-9328-2feb49f1338a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74eb247e-9ecb-4382-9328-2feb49f1338a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9b37bc4-9596-4608-bd64-4e1a2873336a' class='xr-var-data-in' type='checkbox'><label for='data-c9b37bc4-9596-4608-bd64-4e1a2873336a' 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>Ozone mass mixing ratio</dd><dt><span>short_name :</span></dt><dd>o3</dd><dt><span>standard_name :</span></dt><dd>mass_fraction_of_ozone_in_air</dd><dt><span>units :</span></dt><dd>kg kg**-1</dd></dl></div><div class='xr-var-data'><pre>[28454362594560 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>peak_wave_period</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a3df152-6fb8-4279-a09c-a990b5e23db4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a3df152-6fb8-4279-a09c-a990b5e23db4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ee2a209-8bd5-4164-8dd7-a1c941d1dc34' class='xr-var-data-in' type='checkbox'><label for='data-8ee2a209-8bd5-4164-8dd7-a1c941d1dc34' 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>Peak wave period</dd><dt><span>short_name :</span></dt><dd>pp1d</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>period_corresponding_to_maximum_individual_wave_height</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-70fa1822-5cc3-4963-8f48-56b499aab976' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70fa1822-5cc3-4963-8f48-56b499aab976' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c726e0b-0f6d-4d44-81de-f5ff76e2a78d' class='xr-var-data-in' type='checkbox'><label for='data-0c726e0b-0f6d-4d44-81de-f5ff76e2a78d' 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>Period corresponding to maximum individual wave height</dd><dt><span>short_name :</span></dt><dd>tmax</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_evaporation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b5b97cdf-adab-4104-91dd-22ab62d42b21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5b97cdf-adab-4104-91dd-22ab62d42b21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5ac9ee1-9adf-4c1a-b952-acc088779ea8' class='xr-var-data-in' type='checkbox'><label for='data-e5ac9ee1-9adf-4c1a-b952-acc088779ea8' 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 evaporation</dd><dt><span>short_name :</span></dt><dd>pev</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_vorticity</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-906f21ba-f13d-4e79-b6b8-ac47fe16e112' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-906f21ba-f13d-4e79-b6b8-ac47fe16e112' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-048899be-813a-4ea9-9c2a-d323037460d0' class='xr-var-data-in' type='checkbox'><label for='data-048899be-813a-4ea9-9c2a-d323037460d0' 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 vorticity</dd><dt><span>short_name :</span></dt><dd>pv</dd><dt><span>units :</span></dt><dd>K m**2 kg**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[28454362594560 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_type</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1b13b164-2e25-4000-8e29-f62441fe756b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b13b164-2e25-4000-8e29-f62441fe756b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40fec3a7-7168-4b6e-b63b-ac2c9ec0f409' class='xr-var-data-in' type='checkbox'><label for='data-40fec3a7-7168-4b6e-b63b-ac2c9ec0f409' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Precipitation type</dd><dt><span>short_name :</span></dt><dd>ptype</dd><dt><span>units :</span></dt><dd>code table (4.201)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>runoff</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-14d38caf-03a4-416c-9b86-de1224f69463' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14d38caf-03a4-416c-9b86-de1224f69463' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-411c6fa7-617d-4b01-9f68-efe9ce0b732e' class='xr-var-data-in' type='checkbox'><label for='data-411c6fa7-617d-4b01-9f68-efe9ce0b732e' 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>Runoff</dd><dt><span>short_name :</span></dt><dd>ro</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_ice_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-010e5500-5f8a-479d-adbf-d20957530a76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-010e5500-5f8a-479d-adbf-d20957530a76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff05b017-d8c1-4a52-a5eb-083f6ba9ee29' class='xr-var-data-in' type='checkbox'><label for='data-ff05b017-d8c1-4a52-a5eb-083f6ba9ee29' 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>Sea ice area fraction</dd><dt><span>short_name :</span></dt><dd>siconc</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-58548072-ba7a-4e1a-8dd8-49934046c4dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58548072-ba7a-4e1a-8dd8-49934046c4dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72bf7f23-4e01-46ba-a92f-6ecff2e563fa' class='xr-var-data-in' type='checkbox'><label for='data-72bf7f23-4e01-46ba-a92f-6ecff2e563fa' 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>Sea surface temperature</dd><dt><span>short_name :</span></dt><dd>sst</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>significant_height_of_combined_wind_waves_and_swell</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1781cc69-9681-4710-8054-8c38cd36ad17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1781cc69-9681-4710-8054-8c38cd36ad17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5429d535-695e-4c9a-8a0c-8eae462c5c52' class='xr-var-data-in' type='checkbox'><label for='data-5429d535-695e-4c9a-8a0c-8eae462c5c52' 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>Significant height of combined wind waves and swell</dd><dt><span>short_name :</span></dt><dd>swh</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>significant_height_of_total_swell</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-55d9a18c-7278-4215-835d-dbb2bc5bbb8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55d9a18c-7278-4215-835d-dbb2bc5bbb8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5127086-0084-4763-842a-6a84a7a30e98' class='xr-var-data-in' type='checkbox'><label for='data-a5127086-0084-4763-842a-6a84a7a30e98' 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>Significant height of total swell</dd><dt><span>short_name :</span></dt><dd>shts</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>significant_height_of_wind_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-63f5c3e9-0146-47e2-80b0-fe1561207afd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63f5c3e9-0146-47e2-80b0-fe1561207afd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc388a9f-c11b-43b6-9029-4f459620da85' class='xr-var-data-in' type='checkbox'><label for='data-bc388a9f-c11b-43b6-9029-4f459620da85' 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>Significant height of wind waves</dd><dt><span>short_name :</span></dt><dd>shww</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>significant_wave_height_of_first_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f0ff634-c861-408c-af0a-62041601f8cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f0ff634-c861-408c-af0a-62041601f8cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-053d3ed5-0fe2-4257-8574-df4264b3025a' class='xr-var-data-in' type='checkbox'><label for='data-053d3ed5-0fe2-4257-8574-df4264b3025a' 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>Significant wave height of first swell partition</dd><dt><span>short_name :</span></dt><dd>p140121</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>significant_wave_height_of_second_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-39b42e87-9576-45ac-bafb-1845f171433b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39b42e87-9576-45ac-bafb-1845f171433b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ef91d5a-59d0-4893-8090-6e687e4e740b' class='xr-var-data-in' type='checkbox'><label for='data-6ef91d5a-59d0-4893-8090-6e687e4e740b' 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>Significant wave height of second swell partition</dd><dt><span>short_name :</span></dt><dd>p140124</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>significant_wave_height_of_third_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-18530311-660d-4c49-be44-d4958e1ba5c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18530311-660d-4c49-be44-d4958e1ba5c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e0d46c8-e141-4a04-97dd-4a89b71c387f' class='xr-var-data-in' type='checkbox'><label for='data-7e0d46c8-e141-4a04-97dd-4a89b71c387f' 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>Significant wave height of third swell partition</dd><dt><span>short_name :</span></dt><dd>p140127</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skin_reservoir_content</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d4821843-58e0-43d9-8cc2-9ca29e662526' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4821843-58e0-43d9-8cc2-9ca29e662526' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74353d53-07d0-4243-8d4e-268a888369d0' class='xr-var-data-in' type='checkbox'><label for='data-74353d53-07d0-4243-8d4e-268a888369d0' 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>Skin reservoir content</dd><dt><span>short_name :</span></dt><dd>src</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skin_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ba5e101-517f-45b4-8ee2-addc1810b825' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ba5e101-517f-45b4-8ee2-addc1810b825' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a238e39-e68c-4b29-a71c-88ee49f0a16d' class='xr-var-data-in' type='checkbox'><label for='data-7a238e39-e68c-4b29-a71c-88ee49f0a16d' 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>Skin temperature</dd><dt><span>short_name :</span></dt><dd>skt</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>slope_of_sub_gridscale_orography</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e21c9907-e8ca-42ec-b24d-f8c2e2f315e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e21c9907-e8ca-42ec-b24d-f8c2e2f315e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04542b6f-5ba1-443e-b515-de20244a13c5' class='xr-var-data-in' type='checkbox'><label for='data-04542b6f-5ba1-443e-b515-de20244a13c5' 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>Slope of sub-gridscale orography</dd><dt><span>short_name :</span></dt><dd>slor</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_albedo</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6c66c88d-824c-43ee-8fca-3a9ef7ac12a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c66c88d-824c-43ee-8fca-3a9ef7ac12a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31196d6e-2719-4fac-92a3-7325eb6a96b3' class='xr-var-data-in' type='checkbox'><label for='data-31196d6e-2719-4fac-92a3-7325eb6a96b3' 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>Snow albedo</dd><dt><span>short_name :</span></dt><dd>asn</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_density</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9aefdd8c-53de-4420-a6ea-878760244c7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9aefdd8c-53de-4420-a6ea-878760244c7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b5ba05f-b15a-49db-ad22-3540258a4a79' class='xr-var-data-in' type='checkbox'><label for='data-9b5ba05f-b15a-49db-ad22-3540258a4a79' 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>Snow density</dd><dt><span>short_name :</span></dt><dd>rsn</dd><dt><span>units :</span></dt><dd>kg m**-3</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_depth</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-49d1d936-f102-4ae6-b93c-cf34ee6b39e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49d1d936-f102-4ae6-b93c-cf34ee6b39e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66e3106e-9c17-4600-b205-e43f98f561e4' class='xr-var-data-in' type='checkbox'><label for='data-66e3106e-9c17-4600-b205-e43f98f561e4' 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>Snow depth</dd><dt><span>short_name :</span></dt><dd>sd</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_evaporation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da109ad2-d87e-4b34-b7c4-961729a16358' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da109ad2-d87e-4b34-b7c4-961729a16358' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1ab86b5-2fc1-499f-812f-ab9cfa89c799' class='xr-var-data-in' type='checkbox'><label for='data-c1ab86b5-2fc1-499f-812f-ab9cfa89c799' 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>Snow evaporation</dd><dt><span>short_name :</span></dt><dd>es</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snowfall</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69adbddd-c845-453f-86ab-c11be3e9e755' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69adbddd-c845-453f-86ab-c11be3e9e755' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-561e2f68-b0a7-4329-bdbc-ddfad30ef269' class='xr-var-data-in' type='checkbox'><label for='data-561e2f68-b0a7-4329-bdbc-ddfad30ef269' 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>Snowfall</dd><dt><span>short_name :</span></dt><dd>sf</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_snowfall_amount</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snowmelt</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ac292a45-8deb-40e2-ba95-efe3cfb957a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac292a45-8deb-40e2-ba95-efe3cfb957a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdd6adaa-18a1-462e-a395-b3af4537b81b' class='xr-var-data-in' type='checkbox'><label for='data-bdd6adaa-18a1-462e-a395-b3af4537b81b' 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>Snowmelt</dd><dt><span>short_name :</span></dt><dd>smlt</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_temperature_level_1</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9735f0ca-4180-4fc7-b792-9b8a50f66ea8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9735f0ca-4180-4fc7-b792-9b8a50f66ea8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59e61ebe-cbb4-4704-a8d1-39156c8ad936' class='xr-var-data-in' type='checkbox'><label for='data-59e61ebe-cbb4-4704-a8d1-39156c8ad936' 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>Soil temperature level 1</dd><dt><span>short_name :</span></dt><dd>stl1</dd><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_temperature_level_2</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3938605c-2155-48cd-89dd-177f64e700af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3938605c-2155-48cd-89dd-177f64e700af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b1692ea-acff-4159-a246-d4b3f67c21de' class='xr-var-data-in' type='checkbox'><label for='data-5b1692ea-acff-4159-a246-d4b3f67c21de' 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>Soil temperature level 2</dd><dt><span>short_name :</span></dt><dd>stl2</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_temperature_level_3</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7b1c57c0-a590-4017-af71-f915bb3c8d94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b1c57c0-a590-4017-af71-f915bb3c8d94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d70af960-fa82-4b9c-b109-3be0cb9f2706' class='xr-var-data-in' type='checkbox'><label for='data-d70af960-fa82-4b9c-b109-3be0cb9f2706' 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>Soil temperature level 3</dd><dt><span>short_name :</span></dt><dd>stl3</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_temperature_level_4</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-80dc9576-f9d6-4454-be3d-540cd603f720' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80dc9576-f9d6-4454-be3d-540cd603f720' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0161a341-b50e-47ff-99cb-d6422776aeb5' class='xr-var-data-in' type='checkbox'><label for='data-0161a341-b50e-47ff-99cb-d6422776aeb5' 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>Soil temperature level 4</dd><dt><span>short_name :</span></dt><dd>stl4</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_type</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-17225ceb-f269-467a-9626-bf3c0d832969' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17225ceb-f269-467a-9626-bf3c0d832969' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-163d2ba4-3a75-4e6e-ba83-dd32379b510c' class='xr-var-data-in' type='checkbox'><label for='data-163d2ba4-3a75-4e6e-ba83-dd32379b510c' 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>Soil type</dd><dt><span>short_name :</span></dt><dd>slt</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>specific_cloud_ice_water_content</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-633303fe-9577-4df9-bc18-4b549cb71791' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-633303fe-9577-4df9-bc18-4b549cb71791' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7054a7b8-f23a-4dda-a078-0c6143b097f6' class='xr-var-data-in' type='checkbox'><label for='data-7054a7b8-f23a-4dda-a078-0c6143b097f6' 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>Specific cloud ice water content</dd><dt><span>short_name :</span></dt><dd>ciwc</dd><dt><span>units :</span></dt><dd>kg kg**-1</dd></dl></div><div class='xr-var-data'><pre>[28454362594560 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>specific_cloud_liquid_water_content</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eeff1d3b-8a64-47bb-b075-4192104b8890' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eeff1d3b-8a64-47bb-b075-4192104b8890' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c110579-d3e0-43ef-9669-16603533e70f' class='xr-var-data-in' type='checkbox'><label for='data-1c110579-d3e0-43ef-9669-16603533e70f' 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>Specific cloud liquid water content</dd><dt><span>short_name :</span></dt><dd>clwc</dd><dt><span>units :</span></dt><dd>kg kg**-1</dd></dl></div><div class='xr-var-data'><pre>[28454362594560 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>specific_humidity</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dea2a85c-1799-46b7-aa71-ebbd5f084b07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dea2a85c-1799-46b7-aa71-ebbd5f084b07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b3d2088-a27c-47c8-8864-ac0189a7fb7b' class='xr-var-data-in' type='checkbox'><label for='data-7b3d2088-a27c-47c8-8864-ac0189a7fb7b' 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>Specific humidity</dd><dt><span>short_name :</span></dt><dd>q</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg**-1</dd></dl></div><div class='xr-var-data'><pre>[28454362594560 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>standard_deviation_of_filtered_subgrid_orography</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce8de5b0-8fbb-4112-82af-bb19ce31de19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce8de5b0-8fbb-4112-82af-bb19ce31de19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ef9f7a7-7449-4acd-a996-609aa38f6e3a' class='xr-var-data-in' type='checkbox'><label for='data-3ef9f7a7-7449-4acd-a996-609aa38f6e3a' 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>Standard deviation of filtered subgrid orography</dd><dt><span>short_name :</span></dt><dd>sdfor</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>standard_deviation_of_orography</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-956bc379-3030-4a9c-9591-6dd75c168d81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-956bc379-3030-4a9c-9591-6dd75c168d81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-558319a1-edbb-4df9-8b8a-25548f27ff6b' class='xr-var-data-in' type='checkbox'><label for='data-558319a1-edbb-4df9-8b8a-25548f27ff6b' 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>Standard deviation of orography</dd><dt><span>short_name :</span></dt><dd>sdor</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sub_surface_runoff</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f3920422-5b16-4e33-a26c-5f53bd37a684' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3920422-5b16-4e33-a26c-5f53bd37a684' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9054342c-13c7-4c4c-b894-3df2f24bebca' class='xr-var-data-in' type='checkbox'><label for='data-9054342c-13c7-4c4c-b894-3df2f24bebca' 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>Sub-surface runoff</dd><dt><span>short_name :</span></dt><dd>ssro</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_latent_heat_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0fb58896-2397-403e-863d-f70ee4ea1f03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fb58896-2397-403e-863d-f70ee4ea1f03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b03a5ebe-0161-44ea-a136-2240978def8a' class='xr-var-data-in' type='checkbox'><label for='data-b03a5ebe-0161-44ea-a136-2240978def8a' 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>Surface latent heat flux</dd><dt><span>short_name :</span></dt><dd>slhf</dd><dt><span>standard_name :</span></dt><dd>surface_upward_latent_heat_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_net_solar_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-193c5f76-3238-4b83-8525-fce447937f87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-193c5f76-3238-4b83-8525-fce447937f87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ed217fd-8eb2-4e11-8580-19adeac5daeb' class='xr-var-data-in' type='checkbox'><label for='data-7ed217fd-8eb2-4e11-8580-19adeac5daeb' 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>Surface net solar radiation</dd><dt><span>short_name :</span></dt><dd>ssr</dd><dt><span>standard_name :</span></dt><dd>surface_net_downward_shortwave_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_net_solar_radiation_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c390f11e-94ed-4292-a6f9-bd78b6f2771f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c390f11e-94ed-4292-a6f9-bd78b6f2771f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-886e188a-c8b1-4221-b5f9-77720c155d55' class='xr-var-data-in' type='checkbox'><label for='data-886e188a-c8b1-4221-b5f9-77720c155d55' 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>Surface net solar radiation, clear sky</dd><dt><span>short_name :</span></dt><dd>ssrc</dd><dt><span>standard_name :</span></dt><dd>surface_net_downward_shortwave_flux_assuming_clear_sky</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_net_thermal_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7c8a4c66-8688-41dd-9d06-19aface868ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c8a4c66-8688-41dd-9d06-19aface868ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0af4f7cb-54ab-4471-b295-102588606ffe' class='xr-var-data-in' type='checkbox'><label for='data-0af4f7cb-54ab-4471-b295-102588606ffe' 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>Surface net thermal radiation</dd><dt><span>short_name :</span></dt><dd>str</dd><dt><span>standard_name :</span></dt><dd>surface_net_upward_longwave_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_net_thermal_radiation_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-346c4237-5f01-459c-bafa-d0ed1586b5f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-346c4237-5f01-459c-bafa-d0ed1586b5f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c65fb77-d11e-4e2d-9de7-c5bb8e786d24' class='xr-var-data-in' type='checkbox'><label for='data-4c65fb77-d11e-4e2d-9de7-c5bb8e786d24' 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>Surface net thermal radiation, clear sky</dd><dt><span>short_name :</span></dt><dd>strc</dd><dt><span>standard_name :</span></dt><dd>surface_net_downward_longwave_flux_assuming_clear_sky</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_pressure</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-75408de3-8437-4d69-be5f-702867a7446a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75408de3-8437-4d69-be5f-702867a7446a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1b5cc04-eadd-4c71-8ba6-4973427a252d' class='xr-var-data-in' type='checkbox'><label for='data-d1b5cc04-eadd-4c71-8ba6-4973427a252d' 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>Surface pressure</dd><dt><span>short_name :</span></dt><dd>sp</dd><dt><span>standard_name :</span></dt><dd>surface_air_pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_runoff</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dc776b42-d8bd-4a1e-8ee2-b6b77d835618' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc776b42-d8bd-4a1e-8ee2-b6b77d835618' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c093f3f-201f-4c88-b3f0-55661731ae30' class='xr-var-data-in' type='checkbox'><label for='data-7c093f3f-201f-4c88-b3f0-55661731ae30' 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>Surface runoff</dd><dt><span>short_name :</span></dt><dd>sro</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_sensible_heat_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-292da8b0-d2f6-483b-8338-7b248913dc0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-292da8b0-d2f6-483b-8338-7b248913dc0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9598c533-a757-47d5-93e8-ce638023fc56' class='xr-var-data-in' type='checkbox'><label for='data-9598c533-a757-47d5-93e8-ce638023fc56' 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>Surface sensible heat flux</dd><dt><span>short_name :</span></dt><dd>sshf</dd><dt><span>standard_name :</span></dt><dd>surface_upward_sensible_heat_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_solar_radiation_downward_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0a5f4552-b7b8-49e1-82b0-b01772c1a5b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a5f4552-b7b8-49e1-82b0-b01772c1a5b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae310b9d-b52e-4ff8-8429-4b216e391218' class='xr-var-data-in' type='checkbox'><label for='data-ae310b9d-b52e-4ff8-8429-4b216e391218' 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>Surface solar radiation downward clear-sky</dd><dt><span>short_name :</span></dt><dd>ssrdc</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_solar_radiation_downwards</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e1120670-e4b1-4f60-a2ce-8df969233e54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1120670-e4b1-4f60-a2ce-8df969233e54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-174dad30-9111-4b10-bb9d-174158cb7431' class='xr-var-data-in' type='checkbox'><label for='data-174dad30-9111-4b10-bb9d-174158cb7431' 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>Surface solar radiation downwards</dd><dt><span>short_name :</span></dt><dd>ssrd</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_thermal_radiation_downward_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d5e1cb6a-d836-46a1-bc36-61831a719478' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5e1cb6a-d836-46a1-bc36-61831a719478' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2307a23d-c892-4b2f-ab7f-1350d0f2c084' class='xr-var-data-in' type='checkbox'><label for='data-2307a23d-c892-4b2f-ab7f-1350d0f2c084' 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>Surface thermal radiation downward clear-sky</dd><dt><span>short_name :</span></dt><dd>strdc</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_thermal_radiation_downwards</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4ba7f93b-26b0-4c7e-a8e2-5f39cd8880f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ba7f93b-26b0-4c7e-a8e2-5f39cd8880f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e4ca0c6-1606-4b5a-ac7b-286723bbe799' class='xr-var-data-in' type='checkbox'><label for='data-5e4ca0c6-1606-4b5a-ac7b-286723bbe799' 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>Surface thermal radiation downwards</dd><dt><span>short_name :</span></dt><dd>strd</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c18b96ac-7047-4604-8528-b90b48ed45af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c18b96ac-7047-4604-8528-b90b48ed45af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e09369b6-e72f-4412-a3af-ddd428cccb1f' class='xr-var-data-in' type='checkbox'><label for='data-e09369b6-e72f-4412-a3af-ddd428cccb1f' 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>Temperature</dd><dt><span>short_name :</span></dt><dd>t</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[28454362594560 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_of_snow_layer</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a00cf7be-69d9-430c-9882-6dfa78875ed7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a00cf7be-69d9-430c-9882-6dfa78875ed7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba46d2a4-bd96-4089-afca-18293ea1b0ed' class='xr-var-data-in' type='checkbox'><label for='data-ba46d2a4-bd96-4089-afca-18293ea1b0ed' 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>Temperature of snow layer</dd><dt><span>short_name :</span></dt><dd>tsn</dd><dt><span>standard_name :</span></dt><dd>temperature_in_surface_snow</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>toa_incident_solar_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7e6dbb31-17ea-4d73-b0aa-7995acc837f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e6dbb31-17ea-4d73-b0aa-7995acc837f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df00e191-ca50-4527-8be6-0e2280f90e87' class='xr-var-data-in' type='checkbox'><label for='data-df00e191-ca50-4527-8be6-0e2280f90e87' 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>TOA incident solar radiation</dd><dt><span>short_name :</span></dt><dd>tisr</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>top_net_solar_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a95bcca7-5b57-4b03-854c-b492ad776397' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a95bcca7-5b57-4b03-854c-b492ad776397' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d593766a-4a77-49b8-9047-8f4f534bce9c' class='xr-var-data-in' type='checkbox'><label for='data-d593766a-4a77-49b8-9047-8f4f534bce9c' 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>Top net solar radiation</dd><dt><span>short_name :</span></dt><dd>tsr</dd><dt><span>standard_name :</span></dt><dd>toa_net_upward_shortwave_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>top_net_solar_radiation_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88d305ef-1db2-47da-9967-54f337fe7471' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88d305ef-1db2-47da-9967-54f337fe7471' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d9c7cf8-93dd-4cc7-9ea9-acc22f7a1081' class='xr-var-data-in' type='checkbox'><label for='data-3d9c7cf8-93dd-4cc7-9ea9-acc22f7a1081' 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>Top net solar radiation, clear sky</dd><dt><span>short_name :</span></dt><dd>tsrc</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>top_net_thermal_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e1bb8fe-7a8d-4e65-96d0-1ebd2a7bb9fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e1bb8fe-7a8d-4e65-96d0-1ebd2a7bb9fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f64d849-1b7b-4f17-af51-10a441f65eda' class='xr-var-data-in' type='checkbox'><label for='data-0f64d849-1b7b-4f17-af51-10a441f65eda' 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>Top net thermal radiation</dd><dt><span>short_name :</span></dt><dd>ttr</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_longwave_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>top_net_thermal_radiation_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1c06680d-d24a-4f02-89d6-3300426f5070' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c06680d-d24a-4f02-89d6-3300426f5070' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94d5ab7b-6cc1-4a10-b6c6-9b88ffd25b9a' class='xr-var-data-in' type='checkbox'><label for='data-94d5ab7b-6cc1-4a10-b6c6-9b88ffd25b9a' 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>Top net thermal radiation, clear sky</dd><dt><span>short_name :</span></dt><dd>ttrc</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_cloud_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8c11c7f5-d758-43cb-917b-c4ccd93eaee9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c11c7f5-d758-43cb-917b-c4ccd93eaee9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1c73dfe-613d-4946-9522-c66ceade97c5' class='xr-var-data-in' type='checkbox'><label for='data-a1c73dfe-613d-4946-9522-c66ceade97c5' 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>Total cloud cover</dd><dt><span>short_name :</span></dt><dd>tcc</dd><dt><span>standard_name :</span></dt><dd>cloud_area_fraction</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_cloud_ice_water</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0050a564-b075-4e17-9c19-99df7ef040a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0050a564-b075-4e17-9c19-99df7ef040a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c01f3663-a574-49fb-8060-9b6ce680e60e' class='xr-var-data-in' type='checkbox'><label for='data-c01f3663-a574-49fb-8060-9b6ce680e60e' 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>Total column cloud ice water</dd><dt><span>short_name :</span></dt><dd>tciw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_cloud_liquid_water</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c6e54e1-daa8-494f-9320-fc35d3d2170f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c6e54e1-daa8-494f-9320-fc35d3d2170f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-884b7c39-0c0e-46bf-8d48-793ef9098ed4' class='xr-var-data-in' type='checkbox'><label for='data-884b7c39-0c0e-46bf-8d48-793ef9098ed4' 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>Total column cloud liquid water</dd><dt><span>short_name :</span></dt><dd>tclw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_ozone</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0d00b8ce-032c-4ce1-a32f-b9b7df8ddc07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d00b8ce-032c-4ce1-a32f-b9b7df8ddc07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58d74451-e41b-45a7-a419-cb408cc4fda5' class='xr-var-data-in' type='checkbox'><label for='data-58d74451-e41b-45a7-a419-cb408cc4fda5' 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>Total column ozone</dd><dt><span>short_name :</span></dt><dd>tco3</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_rain_water</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7061da77-6e7a-4a0c-997d-081b4c7f6eb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7061da77-6e7a-4a0c-997d-081b4c7f6eb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a01d6f14-f338-454b-a84d-47e84cc12593' class='xr-var-data-in' type='checkbox'><label for='data-a01d6f14-f338-454b-a84d-47e84cc12593' 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>Total column rain water</dd><dt><span>short_name :</span></dt><dd>tcrw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_snow_water</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b760a5f9-47ca-43f9-a57b-7b7da0b319a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b760a5f9-47ca-43f9-a57b-7b7da0b319a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27976f7e-eb4c-4009-b5a0-2c10f0589e3d' class='xr-var-data-in' type='checkbox'><label for='data-27976f7e-eb4c-4009-b5a0-2c10f0589e3d' 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>Total column snow water</dd><dt><span>short_name :</span></dt><dd>tcsw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_supercooled_liquid_water</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a640c937-f22b-4203-a9c9-549887da1c51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a640c937-f22b-4203-a9c9-549887da1c51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4289d87-b205-4bed-9df9-fe8643525f36' class='xr-var-data-in' type='checkbox'><label for='data-e4289d87-b205-4bed-9df9-fe8643525f36' 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>Total column supercooled liquid water</dd><dt><span>short_name :</span></dt><dd>tcslw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_water</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3bb92d70-ca9e-4a67-a1f9-6003260eec3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bb92d70-ca9e-4a67-a1f9-6003260eec3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c982126e-77de-4a82-b2cb-d3a20c38cf40' class='xr-var-data-in' type='checkbox'><label for='data-c982126e-77de-4a82-b2cb-d3a20c38cf40' 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>Total column water</dd><dt><span>short_name :</span></dt><dd>tcw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_water_vapour</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d15a9f1-bc43-4f37-bd14-f2a3d5d44642' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d15a9f1-bc43-4f37-bd14-f2a3d5d44642' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34a6584a-bfee-4e7d-be31-009fcd9435be' class='xr-var-data-in' type='checkbox'><label for='data-34a6584a-bfee-4e7d-be31-009fcd9435be' 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>Total column vertically-integrated water vapour</dd><dt><span>short_name :</span></dt><dd>tcwv</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_precipitation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-23189c15-3e55-4d09-b464-be8185dc7db3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23189c15-3e55-4d09-b464-be8185dc7db3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c47d4558-5926-4376-a90f-1ef64b487ff9' class='xr-var-data-in' type='checkbox'><label for='data-c47d4558-5926-4376-a90f-1ef64b487ff9' 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>Total precipitation</dd><dt><span>short_name :</span></dt><dd>tp</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_sky_direct_solar_radiation_at_surface</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0ac3d965-ffb2-4fed-a606-4dc363bb3fd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ac3d965-ffb2-4fed-a606-4dc363bb3fd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ab3b4dc-0caf-491c-8f41-184d06cf8af3' class='xr-var-data-in' type='checkbox'><label for='data-0ab3b4dc-0caf-491c-8f41-184d06cf8af3' 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>Total sky direct solar radiation at surface</dd><dt><span>short_name :</span></dt><dd>fdir</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_totals_index</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-329718d5-f80e-4963-8601-88e7b979a231' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-329718d5-f80e-4963-8601-88e7b979a231' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b78d6046-3233-4315-b43d-105ea8b52c8d' class='xr-var-data-in' type='checkbox'><label for='data-b78d6046-3233-4315-b43d-105ea8b52c8d' 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>Total totals index</dd><dt><span>short_name :</span></dt><dd>totalx</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>trapping_layer_base_height</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2a5a708c-404f-4afe-887b-8c86ebb411ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a5a708c-404f-4afe-887b-8c86ebb411ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eed759fa-96d1-4e1c-8254-0da3b6c08a6a' class='xr-var-data-in' type='checkbox'><label for='data-eed759fa-96d1-4e1c-8254-0da3b6c08a6a' 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>Trapping layer base height</dd><dt><span>short_name :</span></dt><dd>tplb</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>trapping_layer_top_height</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42714f4a-f0e2-4774-acb5-7931d1fdeb4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42714f4a-f0e2-4774-acb5-7931d1fdeb4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a823ad65-d206-470b-b659-5efb8960f31a' class='xr-var-data-in' type='checkbox'><label for='data-a823ad65-d206-470b-b659-5efb8960f31a' 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>Trapping layer top height</dd><dt><span>short_name :</span></dt><dd>tplt</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>type_of_high_vegetation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-62719f22-ddc8-48e5-a0bf-ebd59f6c1635' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62719f22-ddc8-48e5-a0bf-ebd59f6c1635' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d46fd114-5a50-4a8f-b0e0-eaef47aee469' class='xr-var-data-in' type='checkbox'><label for='data-d46fd114-5a50-4a8f-b0e0-eaef47aee469' 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>Type of high vegetation</dd><dt><span>short_name :</span></dt><dd>tvh</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>type_of_low_vegetation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8abb5b18-fba5-4c7a-81c5-2f8daf70b792' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8abb5b18-fba5-4c7a-81c5-2f8daf70b792' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-522696ff-7852-48b4-97e3-d65c45a3e4b1' class='xr-var-data-in' type='checkbox'><label for='data-522696ff-7852-48b4-97e3-d65c45a3e4b1' 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>Type of low vegetation</dd><dt><span>short_name :</span></dt><dd>tvl</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_component_of_wind</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f5fea563-d2b9-4400-b50c-25c653b31166' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5fea563-d2b9-4400-b50c-25c653b31166' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3d5e52e-03f1-45d1-bd9d-62e549eaba70' class='xr-var-data-in' type='checkbox'><label for='data-e3d5e52e-03f1-45d1-bd9d-62e549eaba70' 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>U component of wind</dd><dt><span>short_name :</span></dt><dd>u</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[28454362594560 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_component_stokes_drift</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20dfb8f4-af70-4e3e-997e-483ff0f1f62d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20dfb8f4-af70-4e3e-997e-483ff0f1f62d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72bc3e4c-2f33-4f1a-9ce2-01a748a3716d' class='xr-var-data-in' type='checkbox'><label for='data-72bc3e4c-2f33-4f1a-9ce2-01a748a3716d' 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>U-component stokes drift</dd><dt><span>short_name :</span></dt><dd>ust</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uv_visible_albedo_for_diffuse_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-276087d1-09e8-4982-a9f4-c452a8cd617f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-276087d1-09e8-4982-a9f4-c452a8cd617f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7c67535-1c78-4bd2-a467-e2a820588560' class='xr-var-data-in' type='checkbox'><label for='data-b7c67535-1c78-4bd2-a467-e2a820588560' 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>UV visible albedo for diffuse radiation</dd><dt><span>short_name :</span></dt><dd>aluvd</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uv_visible_albedo_for_direct_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c8de792e-4927-4250-8c37-3adc261c3a6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8de792e-4927-4250-8c37-3adc261c3a6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa8651de-49a4-4898-a477-8e1cc06b0226' class='xr-var-data-in' type='checkbox'><label for='data-aa8651de-49a4-4898-a477-8e1cc06b0226' 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>UV visible albedo for direct radiation</dd><dt><span>short_name :</span></dt><dd>aluvp</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_component_of_wind</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-86280164-8753-40c7-a1b3-a604718bc1b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86280164-8753-40c7-a1b3-a604718bc1b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b816025-497b-4ac3-ae0f-2b99fcf697ae' class='xr-var-data-in' type='checkbox'><label for='data-0b816025-497b-4ac3-ae0f-2b99fcf697ae' 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>V component of wind</dd><dt><span>short_name :</span></dt><dd>v</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[28454362594560 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_component_stokes_drift</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-149fb948-f952-4ed9-acf4-b99f53f99712' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-149fb948-f952-4ed9-acf4-b99f53f99712' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d4497b7-0781-4582-8ee4-6b096d52bd75' class='xr-var-data-in' type='checkbox'><label for='data-0d4497b7-0781-4582-8ee4-6b096d52bd75' 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>V-component stokes drift</dd><dt><span>short_name :</span></dt><dd>vst</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_cloud_frozen_water_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a57db149-132d-4436-ba6c-e05aaac76715' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a57db149-132d-4436-ba6c-e05aaac76715' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7958f0c-b69d-487b-8c2b-fc3cdf3dbb3f' class='xr-var-data-in' type='checkbox'><label for='data-a7958f0c-b69d-487b-8c2b-fc3cdf3dbb3f' 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>Vertical integral of divergence of cloud frozen water flux</dd><dt><span>short_name :</span></dt><dd>p80.162</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_cloud_liquid_water_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a5757ddc-8ae6-4a4a-941d-8e155dee4916' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5757ddc-8ae6-4a4a-941d-8e155dee4916' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3261091d-9a27-4a69-bfd1-6539094b1bcf' class='xr-var-data-in' type='checkbox'><label for='data-3261091d-9a27-4a69-bfd1-6539094b1bcf' 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>Vertical integral of divergence of cloud liquid water flux</dd><dt><span>short_name :</span></dt><dd>p79.162</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_geopotential_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a50f1004-3497-42b7-8584-911dbd811ce7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a50f1004-3497-42b7-8584-911dbd811ce7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69a5ea27-dd7a-41cb-80cf-9af724ad557b' class='xr-var-data-in' type='checkbox'><label for='data-69a5ea27-dd7a-41cb-80cf-9af724ad557b' 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>Vertical integral of divergence of geopotential flux</dd><dt><span>short_name :</span></dt><dd>p85.162</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_kinetic_energy_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d8b9ddcb-a501-4fce-a8c5-09dc11ea982b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8b9ddcb-a501-4fce-a8c5-09dc11ea982b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cd5ef22-22cb-43cb-862b-9a9f1c5b1398' class='xr-var-data-in' type='checkbox'><label for='data-3cd5ef22-22cb-43cb-862b-9a9f1c5b1398' 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>Vertical integral of divergence of kinetic energy flux</dd><dt><span>short_name :</span></dt><dd>p82.162</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_mass_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-12f69426-cdef-4e74-b2c7-504f031097cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12f69426-cdef-4e74-b2c7-504f031097cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d582a7e7-a996-4d80-b053-cdb855538e52' class='xr-var-data-in' type='checkbox'><label for='data-d582a7e7-a996-4d80-b053-cdb855538e52' 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>Vertical integral of divergence of mass flux</dd><dt><span>short_name :</span></dt><dd>p81.162</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_moisture_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f30b5bb5-012b-40e2-8c81-16ebebbd290c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f30b5bb5-012b-40e2-8c81-16ebebbd290c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8aa38f7f-c214-409b-8f0c-2a3d0c39d261' class='xr-var-data-in' type='checkbox'><label for='data-8aa38f7f-c214-409b-8f0c-2a3d0c39d261' 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>Vertical integral of divergence of moisture flux</dd><dt><span>short_name :</span></dt><dd>p84.162</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_ozone_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-15ed7483-f83c-47f3-851a-1d0d1b07ed3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15ed7483-f83c-47f3-851a-1d0d1b07ed3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b36b7a4-459d-462b-92ca-675ba0b0660c' class='xr-var-data-in' type='checkbox'><label for='data-6b36b7a4-459d-462b-92ca-675ba0b0660c' 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>Vertical integral of divergence of ozone flux</dd><dt><span>short_name :</span></dt><dd>p87.162</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_thermal_energy_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6fde33e-986d-483c-86ba-51143445cfc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6fde33e-986d-483c-86ba-51143445cfc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e65ca3d3-7cfb-4373-8d9e-084398992cb3' class='xr-var-data-in' type='checkbox'><label for='data-e65ca3d3-7cfb-4373-8d9e-084398992cb3' 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>Vertical integral of divergence of thermal energy flux</dd><dt><span>short_name :</span></dt><dd>p83.162</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_total_energy_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d1f4382f-59b1-4bfe-b5d7-f888aa7bb5f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1f4382f-59b1-4bfe-b5d7-f888aa7bb5f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19f332ce-f454-4fc0-a989-1f62da7f1160' class='xr-var-data-in' type='checkbox'><label for='data-19f332ce-f454-4fc0-a989-1f62da7f1160' 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>Vertical integral of divergence of total energy flux</dd><dt><span>short_name :</span></dt><dd>p86.162</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_cloud_frozen_water_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aaaef16e-e2c4-4bb8-8884-9af30fcdba29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aaaef16e-e2c4-4bb8-8884-9af30fcdba29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af4f79b6-9f59-4f02-8230-212bbee22cd9' class='xr-var-data-in' type='checkbox'><label for='data-af4f79b6-9f59-4f02-8230-212bbee22cd9' 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>Vertical integral of eastward cloud frozen water flux</dd><dt><span>short_name :</span></dt><dd>p90.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_cloud_liquid_water_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f953faa-1c3a-4a28-ac51-043adb221f39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f953faa-1c3a-4a28-ac51-043adb221f39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15fc6613-d177-4537-a858-acb92e99a573' class='xr-var-data-in' type='checkbox'><label for='data-15fc6613-d177-4537-a858-acb92e99a573' 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>Vertical integral of eastward cloud liquid water flux</dd><dt><span>short_name :</span></dt><dd>p88.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_geopotential_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6c378e49-1321-4f59-acc4-c90d2b19f5e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c378e49-1321-4f59-acc4-c90d2b19f5e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe6b2dc1-1e31-4527-99ab-d456857d8af8' class='xr-var-data-in' type='checkbox'><label for='data-fe6b2dc1-1e31-4527-99ab-d456857d8af8' 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>Vertical integral of eastward geopotential flux</dd><dt><span>short_name :</span></dt><dd>p73.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_heat_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1300e618-d77d-454c-b90b-10c89a963973' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1300e618-d77d-454c-b90b-10c89a963973' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d821a2c0-0a8f-41cd-beab-ac321983fc8b' class='xr-var-data-in' type='checkbox'><label for='data-d821a2c0-0a8f-41cd-beab-ac321983fc8b' 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>Vertical integral of eastward heat flux</dd><dt><span>short_name :</span></dt><dd>p69.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_kinetic_energy_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-398fda00-3812-49ae-9850-511d18630aaf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-398fda00-3812-49ae-9850-511d18630aaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f0e8ac0-935b-4f98-98ba-c1a1ae4cdd9a' class='xr-var-data-in' type='checkbox'><label for='data-9f0e8ac0-935b-4f98-98ba-c1a1ae4cdd9a' 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>Vertical integral of eastward kinetic energy flux</dd><dt><span>short_name :</span></dt><dd>p67.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_mass_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c1350748-a41f-4f08-8577-59a28806bf88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1350748-a41f-4f08-8577-59a28806bf88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47b0a0df-3d24-4910-9184-a435ccdf0001' class='xr-var-data-in' type='checkbox'><label for='data-47b0a0df-3d24-4910-9184-a435ccdf0001' 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>Vertical integral of eastward mass flux</dd><dt><span>short_name :</span></dt><dd>p65.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_ozone_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-15f6dca1-e21a-4bf3-98fd-2651169eb316' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15f6dca1-e21a-4bf3-98fd-2651169eb316' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1054ddbd-aaf8-4e64-bdcf-d73b00b1339d' class='xr-var-data-in' type='checkbox'><label for='data-1054ddbd-aaf8-4e64-bdcf-d73b00b1339d' 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>Vertical integral of eastward ozone flux</dd><dt><span>short_name :</span></dt><dd>p77.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_total_energy_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d826f8f7-b478-471f-8df4-a2e7ce370ac1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d826f8f7-b478-471f-8df4-a2e7ce370ac1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e51b9e1-17f3-4feb-8efc-de80c296738c' class='xr-var-data-in' type='checkbox'><label for='data-5e51b9e1-17f3-4feb-8efc-de80c296738c' 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>Vertical integral of eastward total energy flux</dd><dt><span>short_name :</span></dt><dd>p75.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_water_vapour_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-65dc38b6-cc1c-4302-ac78-b51d2e12e290' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65dc38b6-cc1c-4302-ac78-b51d2e12e290' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e7283f1-7325-4387-a4c5-58fe820c84df' class='xr-var-data-in' type='checkbox'><label for='data-9e7283f1-7325-4387-a4c5-58fe820c84df' 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>Vertical integral of eastward water vapour flux</dd><dt><span>short_name :</span></dt><dd>p71.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_energy_conversion</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-03d552f9-85cd-43e8-9718-27527aa311dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03d552f9-85cd-43e8-9718-27527aa311dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2813bf93-363c-4b7c-85d4-da51482dbb21' class='xr-var-data-in' type='checkbox'><label for='data-2813bf93-363c-4b7c-85d4-da51482dbb21' 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>Vertical integral of energy conversion</dd><dt><span>short_name :</span></dt><dd>p64.162</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_kinetic_energy</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f49a8d4-3ee0-4978-b7da-4892ed1cb1f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f49a8d4-3ee0-4978-b7da-4892ed1cb1f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d2828b5-1e9d-47aa-8a56-86370b182c7e' class='xr-var-data-in' type='checkbox'><label for='data-5d2828b5-1e9d-47aa-8a56-86370b182c7e' 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>Vertical integral of kinetic energy</dd><dt><span>short_name :</span></dt><dd>p59.162</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_mass_of_atmosphere</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88b34bee-abd4-47f1-86b3-4c2ca85187e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88b34bee-abd4-47f1-86b3-4c2ca85187e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04b08447-ba1a-4b50-b88b-a979bc346840' class='xr-var-data-in' type='checkbox'><label for='data-04b08447-ba1a-4b50-b88b-a979bc346840' 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>Vertical integral of mass of atmosphere</dd><dt><span>short_name :</span></dt><dd>p53.162</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_mass_tendency</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d352a00-31e7-4b58-b1e0-526b4fcaaa96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d352a00-31e7-4b58-b1e0-526b4fcaaa96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69371ab7-7441-47ee-8f8d-09405bcbcd73' class='xr-var-data-in' type='checkbox'><label for='data-69371ab7-7441-47ee-8f8d-09405bcbcd73' 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>Vertical integral of mass tendency</dd><dt><span>short_name :</span></dt><dd>p92.162</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_cloud_frozen_water_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-05f970f6-669b-4651-a132-5a535060fc30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05f970f6-669b-4651-a132-5a535060fc30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd13ce4f-131e-48d3-adbb-cb9347c49d97' class='xr-var-data-in' type='checkbox'><label for='data-cd13ce4f-131e-48d3-adbb-cb9347c49d97' 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>Vertical integral of northward cloud frozen water flux </dd><dt><span>short_name :</span></dt><dd>p91.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_cloud_liquid_water_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-345b3671-bb25-4504-a848-e1483eeadaa4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-345b3671-bb25-4504-a848-e1483eeadaa4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d584819e-da12-426a-b063-4dad1d277d20' class='xr-var-data-in' type='checkbox'><label for='data-d584819e-da12-426a-b063-4dad1d277d20' 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>Vertical integral of northward cloud liquid water flux</dd><dt><span>short_name :</span></dt><dd>p89.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_geopotential_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d031739f-11c7-4711-acf4-1de79db87364' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d031739f-11c7-4711-acf4-1de79db87364' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcb9a71c-b186-4fd3-866d-de927de6f1a7' class='xr-var-data-in' type='checkbox'><label for='data-fcb9a71c-b186-4fd3-866d-de927de6f1a7' 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>Vertical integral of northward geopotential flux</dd><dt><span>short_name :</span></dt><dd>p74.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_heat_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c692dd0c-795c-40c3-842a-b3c88a1f83c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c692dd0c-795c-40c3-842a-b3c88a1f83c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3645221-491b-41dd-9f79-49e7956562f0' class='xr-var-data-in' type='checkbox'><label for='data-a3645221-491b-41dd-9f79-49e7956562f0' 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>Vertical integral of northward heat flux</dd><dt><span>short_name :</span></dt><dd>p70.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_kinetic_energy_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-06fb2b6c-d447-4a54-9373-ff255a7bc87e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06fb2b6c-d447-4a54-9373-ff255a7bc87e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40c65390-616d-4cd0-9362-ffd40bcf6926' class='xr-var-data-in' type='checkbox'><label for='data-40c65390-616d-4cd0-9362-ffd40bcf6926' 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>Vertical integral of northward kinetic energy flux</dd><dt><span>short_name :</span></dt><dd>p68.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_mass_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f7380173-f835-4288-adbb-9957a0afc1ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7380173-f835-4288-adbb-9957a0afc1ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3b70986-763f-47f0-91b9-4e09ccf67d26' class='xr-var-data-in' type='checkbox'><label for='data-d3b70986-763f-47f0-91b9-4e09ccf67d26' 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>Vertical integral of northward mass flux</dd><dt><span>short_name :</span></dt><dd>p66.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_ozone_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-889d8565-744d-49c5-b0f5-693ae7c786f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-889d8565-744d-49c5-b0f5-693ae7c786f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ae498ea-8686-4499-889b-fa8bb81cfb1a' class='xr-var-data-in' type='checkbox'><label for='data-4ae498ea-8686-4499-889b-fa8bb81cfb1a' 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>Vertical integral of northward ozone flux</dd><dt><span>short_name :</span></dt><dd>p78.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_total_energy_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ccf49616-1f5a-4d84-a9bf-756ce95c7f3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccf49616-1f5a-4d84-a9bf-756ce95c7f3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cb74f8f-3a96-4495-85e3-9fa2e30c4d73' class='xr-var-data-in' type='checkbox'><label for='data-0cb74f8f-3a96-4495-85e3-9fa2e30c4d73' 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>Vertical integral of northward total energy flux</dd><dt><span>short_name :</span></dt><dd>p76.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_water_vapour_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a7456616-ff9b-4869-b188-ac242fae3229' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7456616-ff9b-4869-b188-ac242fae3229' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2e1c028-e1f6-40ad-9d1f-500d1024be1f' class='xr-var-data-in' type='checkbox'><label for='data-a2e1c028-e1f6-40ad-9d1f-500d1024be1f' 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>Vertical integral of northward water vapour flux</dd><dt><span>short_name :</span></dt><dd>p72.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_potential_and_internal_energy</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-28ea2c2b-ef17-40cc-a678-7162bf62bbb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28ea2c2b-ef17-40cc-a678-7162bf62bbb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0d97886-6f09-4d52-bc1a-eee548694480' class='xr-var-data-in' type='checkbox'><label for='data-e0d97886-6f09-4d52-bc1a-eee548694480' 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>Vertical integral of potential+internal energy</dd><dt><span>short_name :</span></dt><dd>p61.162</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_potential_internal_and_latent_energy</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d7006f6b-f84e-45b4-aa75-3c565616e54a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7006f6b-f84e-45b4-aa75-3c565616e54a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ba0e07c-2a87-4487-85d0-34010bac26df' class='xr-var-data-in' type='checkbox'><label for='data-2ba0e07c-2a87-4487-85d0-34010bac26df' 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>Vertical integral of potential+internal+latent energy</dd><dt><span>short_name :</span></dt><dd>p62.162</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-32f33db2-2b5a-4f7c-ac31-ba18e136cc87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32f33db2-2b5a-4f7c-ac31-ba18e136cc87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19bdd9fe-e3a1-4167-a3fa-967366d6b3ae' class='xr-var-data-in' type='checkbox'><label for='data-19bdd9fe-e3a1-4167-a3fa-967366d6b3ae' 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>Vertical integral of temperature</dd><dt><span>short_name :</span></dt><dd>p54.162</dd><dt><span>units :</span></dt><dd>K kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_thermal_energy</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f72b67e-0720-457f-9fe7-2cf07923c973' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f72b67e-0720-457f-9fe7-2cf07923c973' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-722f2616-0df8-4639-8e42-0ed2901ff991' class='xr-var-data-in' type='checkbox'><label for='data-722f2616-0df8-4639-8e42-0ed2901ff991' 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>Vertical integral of thermal energy</dd><dt><span>short_name :</span></dt><dd>p60.162</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_total_energy</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e312e9e-df60-43b0-953e-b48b5e0e2292' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e312e9e-df60-43b0-953e-b48b5e0e2292' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d92da86d-1d97-45e8-885f-10af0c750113' class='xr-var-data-in' type='checkbox'><label for='data-d92da86d-1d97-45e8-885f-10af0c750113' 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>Vertical integral of total energy</dd><dt><span>short_name :</span></dt><dd>p63.162</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_velocity</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-25811258-6336-48ca-a282-f443d2f69069' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25811258-6336-48ca-a282-f443d2f69069' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f48fe6d3-f6fb-4acb-a99d-f22fc15ba91d' class='xr-var-data-in' type='checkbox'><label for='data-f48fe6d3-f6fb-4acb-a99d-f22fc15ba91d' 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>Vertical velocity</dd><dt><span>short_name :</span></dt><dd>w</dd><dt><span>standard_name :</span></dt><dd>lagrangian_tendency_of_air_pressure</dd><dt><span>units :</span></dt><dd>Pa s**-1</dd></dl></div><div class='xr-var-data'><pre>[28454362594560 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertically_integrated_moisture_divergence</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e8ea51ed-b99c-4841-971c-bf118d6c4f84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8ea51ed-b99c-4841-971c-bf118d6c4f84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed70f107-e071-4d44-91e2-9bd4e342e71d' class='xr-var-data-in' type='checkbox'><label for='data-ed70f107-e071-4d44-91e2-9bd4e342e71d' 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>Vertically integrated moisture divergence</dd><dt><span>short_name :</span></dt><dd>vimd</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_soil_water_layer_1</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f2131701-8702-424d-81ad-652148f13c26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2131701-8702-424d-81ad-652148f13c26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b477a61-d60a-47b8-b1f5-2853073e00b7' class='xr-var-data-in' type='checkbox'><label for='data-4b477a61-d60a-47b8-b1f5-2853073e00b7' 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>Volumetric soil water layer 1</dd><dt><span>short_name :</span></dt><dd>swvl1</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_soil_water_layer_2</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-76afc3e9-c187-4c4a-bb12-9c0357a380a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76afc3e9-c187-4c4a-bb12-9c0357a380a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e00b7ea0-2482-4118-a697-de08b90adc91' class='xr-var-data-in' type='checkbox'><label for='data-e00b7ea0-2482-4118-a697-de08b90adc91' 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>Volumetric soil water layer 2</dd><dt><span>short_name :</span></dt><dd>swvl2</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_soil_water_layer_3</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-93c610cb-538c-490b-84ff-876eb3b6f590' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93c610cb-538c-490b-84ff-876eb3b6f590' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10606b9c-0832-4b64-8737-973a2ede1fdf' class='xr-var-data-in' type='checkbox'><label for='data-10606b9c-0832-4b64-8737-973a2ede1fdf' 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>Volumetric soil water layer 3</dd><dt><span>short_name :</span></dt><dd>swvl3</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_soil_water_layer_4</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d2a0cd7c-9c9a-4fa5-b7a6-a6f47a2bcb9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2a0cd7c-9c9a-4fa5-b7a6-a6f47a2bcb9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fce1a725-ecb1-43c1-8f26-0a8844c95e85' class='xr-var-data-in' type='checkbox'><label for='data-fce1a725-ecb1-43c1-8f26-0a8844c95e85' 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>Volumetric soil water layer 4</dd><dt><span>short_name :</span></dt><dd>swvl4</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wave_spectral_directional_width</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-723d3cd0-f633-4aae-92bb-347a28851dc2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-723d3cd0-f633-4aae-92bb-347a28851dc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09d6a480-be67-44d9-b8c1-e215064479ff' class='xr-var-data-in' type='checkbox'><label for='data-09d6a480-be67-44d9-b8c1-e215064479ff' 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>Wave spectral directional width</dd><dt><span>short_name :</span></dt><dd>wdw</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wave_spectral_directional_width_for_swell</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-70a54bd6-2588-4266-a488-69785161508d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70a54bd6-2588-4266-a488-69785161508d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-062e51b8-6ca3-4942-8b47-87e945c6abbe' class='xr-var-data-in' type='checkbox'><label for='data-062e51b8-6ca3-4942-8b47-87e945c6abbe' 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>Wave spectral directional width for swell</dd><dt><span>short_name :</span></dt><dd>dwps</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wave_spectral_directional_width_for_wind_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-64a08e68-6bff-4b0f-8966-0dc846740b64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64a08e68-6bff-4b0f-8966-0dc846740b64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a24dcd73-30ce-4d27-9c65-0c5690e2785c' class='xr-var-data-in' type='checkbox'><label for='data-a24dcd73-30ce-4d27-9c65-0c5690e2785c' 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>Wave spectral directional width for wind waves</dd><dt><span>short_name :</span></dt><dd>dwww</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wave_spectral_kurtosis</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2feebfa1-882d-4dd8-bae5-def994e08143' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2feebfa1-882d-4dd8-bae5-def994e08143' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a818a41-5550-485a-bb98-22075705dfdb' class='xr-var-data-in' type='checkbox'><label for='data-8a818a41-5550-485a-bb98-22075705dfdb' 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>Wave spectral kurtosis</dd><dt><span>short_name :</span></dt><dd>wsk</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wave_spectral_peakedness</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-62a642e2-77d8-47c9-bd33-4c3944ec89f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62a642e2-77d8-47c9-bd33-4c3944ec89f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef65bc5c-bfb1-49b7-8df9-2e9615c5ee12' class='xr-var-data-in' type='checkbox'><label for='data-ef65bc5c-bfb1-49b7-8df9-2e9615c5ee12' 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>Wave spectral peakedness</dd><dt><span>short_name :</span></dt><dd>wsp</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wave_spectral_skewness</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e1385da0-a47a-48af-8471-4d5eb6dc06ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1385da0-a47a-48af-8471-4d5eb6dc06ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95170cf4-be3a-421b-bca3-2d132ae6b0a3' class='xr-var-data-in' type='checkbox'><label for='data-95170cf4-be3a-421b-bca3-2d132ae6b0a3' 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>Wave Spectral Skewness</dd><dt><span>short_name :</span></dt><dd>wss</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zero_degree_level</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a45a6fd3-03ce-4839-a5b3-f9c1b08d2043' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a45a6fd3-03ce-4839-a5b3-f9c1b08d2043' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd36d8b6-dac1-4de1-8f3d-1db016e1f348' class='xr-var-data-in' type='checkbox'><label for='data-dd36d8b6-dac1-4de1-8f3d-1db016e1f348' 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>0 degrees C isothermal level (atm)</dd><dt><span>short_name :</span></dt><dd>deg0l</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[769036826880 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9864cb1b-19f1-4744-b811-2023d3da754c' class='xr-section-summary-in' type='checkbox'  ><label for='section-9864cb1b-19f1-4744-b811-2023d3da754c' 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>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-22495907-136f-423b-84a9-00dc82484ccd' class='xr-index-data-in' type='checkbox'/><label for='index-22495907-136f-423b-84a9-00dc82484ccd' 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([  90.0,  89.75,   89.5,  89.25,   89.0,  88.75,   88.5,  88.25,   88.0,\n",
       "        87.75,\n",
       "       ...\n",
       "       -87.75,  -88.0, -88.25,  -88.5, -88.75,  -89.0, -89.25,  -89.5, -89.75,\n",
       "        -90.0],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;, length=721))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>level</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-196aca43-ecb1-4941-ad60-71d95acd2ed4' class='xr-index-data-in' type='checkbox'/><label for='index-196aca43-ecb1-4941-ad60-71d95acd2ed4' 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([   1,    2,    3,    5,    7,   10,   20,   30,   50,   70,  100,  125,\n",
       "        150,  175,  200,  225,  250,  300,  350,  400,  450,  500,  550,  600,\n",
       "        650,  700,  750,  775,  800,  825,  850,  875,  900,  925,  950,  975,\n",
       "       1000],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;level&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-db426bdd-f6b9-4dd8-915f-8c36221c703c' class='xr-index-data-in' type='checkbox'/><label for='index-db426bdd-f6b9-4dd8-915f-8c36221c703c' 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([   0.0,   0.25,    0.5,   0.75,    1.0,   1.25,    1.5,   1.75,    2.0,\n",
       "         2.25,\n",
       "       ...\n",
       "        357.5, 357.75,  358.0, 358.25,  358.5, 358.75,  359.0, 359.25,  359.5,\n",
       "       359.75],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;, length=1440))</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-0ad9f2e5-fee1-47af-b8e7-910dd69062fb' class='xr-index-data-in' type='checkbox'/><label for='index-0ad9f2e5-fee1-47af-b8e7-910dd69062fb' 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;1940-01-01 00:00:00&#x27;, &#x27;1940-01-01 01:00:00&#x27;,\n",
       "               &#x27;1940-01-01 02:00:00&#x27;, &#x27;1940-01-01 03:00:00&#x27;,\n",
       "               &#x27;1940-01-01 04:00:00&#x27;, &#x27;1940-01-01 05:00:00&#x27;,\n",
       "               &#x27;1940-01-01 06:00:00&#x27;, &#x27;1940-01-01 07:00:00&#x27;,\n",
       "               &#x27;1940-01-01 08:00:00&#x27;, &#x27;1940-01-01 09:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2024-06-30 14:00:00&#x27;, &#x27;2024-06-30 15:00:00&#x27;,\n",
       "               &#x27;2024-06-30 16:00:00&#x27;, &#x27;2024-06-30 17:00:00&#x27;,\n",
       "               &#x27;2024-06-30 18:00:00&#x27;, &#x27;2024-06-30 19:00:00&#x27;,\n",
       "               &#x27;2024-06-30 20:00:00&#x27;, &#x27;2024-06-30 21:00:00&#x27;,\n",
       "               &#x27;2024-06-30 22:00:00&#x27;, &#x27;2024-06-30 23:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=740712, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6790ab4e-aba6-4246-8b41-7f5fce7ad797' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6790ab4e-aba6-4246-8b41-7f5fce7ad797' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>valid_time_start :</span></dt><dd>1940-01-01</dd><dt><span>last_updated :</span></dt><dd>2024-09-27 08:06:09.120900</dd><dt><span>valid_time_stop :</span></dt><dd>2024-06-30</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 2PB\n",
       "Dimensions:                                                          (\n",
       "                                                                      time: 740712,\n",
       "                                                                      latitude: 721,\n",
       "                                                                      longitude: 1440,\n",
       "                                                                      level: 37)\n",
       "Coordinates:\n",
       "  * latitude                                                         (latitude) float32 3kB ...\n",
       "  * level                                                            (level) int64 296B ...\n",
       "  * longitude                                                        (longitude) float32 6kB ...\n",
       "  * time                                                             (time) datetime64[ns] 6MB ...\n",
       "Data variables: (12/273)\n",
       "    100m_u_component_of_wind                                         (time, latitude, longitude) float32 3TB ...\n",
       "    100m_v_component_of_wind                                         (time, latitude, longitude) float32 3TB ...\n",
       "    10m_u_component_of_neutral_wind                                  (time, latitude, longitude) float32 3TB ...\n",
       "    10m_u_component_of_wind                                          (time, latitude, longitude) float32 3TB ...\n",
       "    10m_v_component_of_neutral_wind                                  (time, latitude, longitude) float32 3TB ...\n",
       "    10m_v_component_of_wind                                          (time, latitude, longitude) float32 3TB ...\n",
       "    ...                                                               ...\n",
       "    wave_spectral_directional_width_for_swell                        (time, latitude, longitude) float32 3TB ...\n",
       "    wave_spectral_directional_width_for_wind_waves                   (time, latitude, longitude) float32 3TB ...\n",
       "    wave_spectral_kurtosis                                           (time, latitude, longitude) float32 3TB ...\n",
       "    wave_spectral_peakedness                                         (time, latitude, longitude) float32 3TB ...\n",
       "    wave_spectral_skewness                                           (time, latitude, longitude) float32 3TB ...\n",
       "    zero_degree_level                                                (time, latitude, longitude) float32 3TB ...\n",
       "Attributes:\n",
       "    valid_time_start:  1940-01-01\n",
       "    last_updated:      2024-09-27 08:06:09.120900\n",
       "    valid_time_stop:   2024-06-30"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ar_full_37_1h"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With xarray we can quite quickly make a selection of the data (here a certain point in time), and plot it.\n",
    "\n",
    "Note that *only once the actual underlying data is needed* for creating output, such as plotting, the data is retrieved from Google's servers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x132367410>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ar_full_37_1h[\"2m_temperature\"].sel(time=\"2024-05-01T12:00:00\").plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Caveats with using the ARCO-ERA5 dataset\n",
    "\n",
    "One main drawback of the ARCO-ERA5 dataset is how the data is organized.\n",
    "Data is stored in blocks called \"chunks\", which is a manageable piece of a larger dataset. They are often used to store information about specific topics or categories.\n",
    "\n",
    "When retrieving data, the whole chunk has to be retrieved. Partial retrieval of chunks is not possible.\n",
    "\n",
    "The ARCO-ERA5 dataset is organized like the following illustration:\n",
    "\n",
    "![image.png](figures/chunks.png)\n",
    "\n",
    "Where the latitude and longitude dimensions (sizes 721 and 1440 respectively) are all in the same chunk, while each time step is on a separate chunk.\n",
    "When you want to retrieve data for a single lat/lon, for example, a timeseries of air temperature near Leiden, the Netherlands, every single chunk of the entire air temperature array has to be downloaded.\n",
    "\n",
    "There are tools such as [Rechunker](https://rechunker.readthedocs.io/) which can reorganize the data for you, but this requires storing a copy of the data elsewhere."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Demonstration of chunk issue\n",
    "\n",
    "The code cell below demonstrates the problem. We request the air temperature data for the data point closest to leiden, but only one out of every 720 timesteps (approximately a month), for the years 2000-2020\n",
    "\n",
    "This still means we need to download 12 timesteps per year, for 20 years, i.e., 240 chunks. Which is hundreds of megabytes just for a simple timeseries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x10e3574d0>]"
      ]
     },
     "execution_count": 17,
     "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": [
    "loc_leiden = {\"latitude\": 52.17, \"longitude\": 4.46}\n",
    "\n",
    "# Select every 30th day of data to reduce the number of chunks that need to be downloaded\n",
    "monthly_temperature = ar_full_37_1h[\"2m_temperature\"].isel(time=slice(None, None, 24*30))\n",
    "monthly_temperature = monthly_temperature.sel(time=slice(\"2000-01-01\", \"2020-01-01\"))\n",
    "monthly_temperature.sel(loc_leiden, method=\"nearest\").plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Prettier plots\n",
    "\n",
    "The main showcase of the Zarr ARCO-ERA5 dataset has ended.\n",
    "However, below are included some examples to show off the plotting and analysis possiblities.\n",
    "\n",
    "#### Air temperature on an orthographic projection\n",
    "\n",
    "We can make this plot a bit prettier by making use of [cartopy](https://scitools.org.uk/cartopy):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# First we may need to install cartopy\n",
    "%pip install cartopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.geocollection.GeoQuadMesh at 0x110758c10>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ZgDKCCKONpCGXmNNQSrWNQbZt15Nt+xWGwHWSrFs1j7VL57B2xVxqVsxl0ex3UFKy8+T7GTVhsj5WK1ZSt2Y+zRsWU1+ziA1rF1K/biGtzTVsueUWTJw4kQkTJrDNNtvk43h5/OGQJ+vfFnmyzuNXRSQS4aOPPmLatGm88sa7rFiygO59R9B/y4mMGDMOX7Adc2Z8yjcfPs3yxd/gJOMEw0V06bUFnXoOo8+Q7enaexRFZdXApslZbWSbe9mqHMLOXSb/wRWeJnRDxehpbZ6sjY3CbzI1EZBZE4Zsaz4bQsDX797Pc/eeAMA2u53GxAMuo6VxLbecORQpPcqq+zFg1KH0G3EQgYJKDCHwPImT9EjEHZLxOupWfU7Dms9Y8O004tF6xm2/HRMnTmTixIkMGTIEY+NB5pHH74w0WT9f2vdXIet9GxbmyToLebLO4xfBdV2mT5/OtGnTePm1acz59ivKqrrRe8h4Bm+1I71692Tx918y66t3mTfzfVqa6xGGwdBRuzJgy/H0HrI9HboNRhjmJiS78es0NCmqzX6e3gaAkhKLVmxasWjFJI5JApMkBg4CF4GHQCGUhy1iJFUIiYXCRAobhY2HH2n48QjiiSCuCCPxt5ndqXGkSbxtjJrEV/04g9vOG5lZ17L9dOo5grKqHpRV9WDeN6+yZslMAEorezNi4jl06jmSQLiUhvU/YtjdEYYfJ+EgpaR9hxa+n/4OC2a8xfpVX2DZQfaaNIEJEyYwceJEunTp8v8/oXnk8f9EmqxfLO9H2PiFZC099q5bkCfrLOTJOo+fBaUUCxcu5N1332XatGm8//4HSOGj37Dx9NtiIoO2HMPyxd8yb8Y7LJzzCevXLEUYBr0GjGLQiPH0HbId3fqOIhguzriqsy3SbLLN3e/GRKhyiVp5+GnElg34VBM+mrFpAQQuIRyCeARSDx8SG4mFxERhIEjQnpmsVVugpIUQHqZwMYWDSQKbOJaIYakYJnEkNo4oIimKSIoSEpTiEkZmxc8z4069Wbd6ER++dBPfvP9Qzm+zfSGcZOtPHvNAuILKLqMZteOpVHQaQUtznGDYj5N0KS33s3DWp6xe/CFLvnuH5g1zKa/uxv5778SECRMYN24cJSUlP/9E55HHz0SerH9b5Mk6j3+K2traTMz59TffoaG+jh4DtqPvsAl0GzCePgO3pKIUVq9ex60X7MyKH+fQvc8W9Bu2HX2HbMeALXcgXFiKJ0VbTHcjC3Rjqzqb8PR7lRMvNgRYMoJf1hCQ6/GpeiQWCVFGUpTgUERCFeKoUI4FnN5neh+ZmDStdOddlqgJSEJty0WbK9xIu8aVi6lasGUztmrClg3YqgmJj4RRQdyoImFU4mHneAA8T+973aqFvDb1PBbNnobrxDPj6j9iL7bZ9USqOw9i3crvaWmuo6i0I999+TyLZr1L3dr5VHYeQb+tDqXP8MOwbBOfz8SyDRJxl0TcpWbFCmpXfEVj7desW/4JTRuWMGrkVkyYoC3vMWPG5AVf8vhNkCbrl9r3/1XIeq+18/NknYU8WeexWTiOw+uvv85DDz3EG2+8SaceQ+jSbweGbr0TnXqNoaQkRCgAhUEtgDB/9udceuJ4lFIceNzl7DX5QlxP4EmQUj9nLGnZZilvLp6cviQ9L/1ePwsBtogRVisJq9VYKkrCqCBhVpE0yvFEAWQln3lSbbKNbPd0NkwjRg/xLkvRZJ1GNlmnE8w2TjwDXQZme/X4ZC1+rwabKDFRQavRmbjRPhNTFkIfB4BI0wYWfPs+TfVrsWw/fYftTEl5502OiVLguQ4zP3qML9+5l9VLviFYUElpZW9KKnsxapercB0L22fheRLX8TBNA9fxaKxdzvL57xKLzGHdso8IBw0mT57M0UcfTf/+/X/mVZFHHj+NNFm/0nnAr0LWe6yclyfrLOTJOo8czJs3j4ceeoipU6cirAK23eUoRo8/mG49e9ESMwj6FX5bYRkKT8KP87/h3CO3BqBTt35cfd8nhArL8KRASnA9gZuyKD2vzYL+R3Fn2DT+66eBEn4gTA0xKojQiRjVYGgRvs2RqWG07c/19P7S5O1lx7aVtqyzyXrjUqw0NibuNJmna7eVAtdTGF4LYbWaAlYilEcT3WiiO0r4MlnpG08EPE+Py3XbDkh6HFKBQPH3m/bn+69ezBnToee+TZe+Y3EdiZf6wa1Rh2TcwfMkgaAPYQgqqwJ8/vbLzP18KutXfsCokVty9NFHc8ABB+RviHn8YuTJ+rdFnqzzoLm5maeffpopd9/FnHkLGDl2b7bZ+Ri2GLU9AZ+gNWFQFPKwDIlSgmikmUfvvZKVyxbw7RfvZLYzeMQ4Vi1bSEm7akrLO1DVqTerlszju6/f5uyb36fXoHEkkw5NDTUUFFdg2/6cWPXG5VYAlmqmwphPSGygUXWlQXbHJZSy0FPSoIbQpJe2dk1NopbVVmqVJkbYNEtcSoUhW+kk32WVMQGX0CY11dnfS2NjJdHNJWRLTxFQtRTxAwHVQKPoRSM9UVg5meTpcftSHmrX1ccjmZRICVIp3GSMm0/pTmvLBtp3H41pWQza+hCGbDMZpQSW3TYAv1+/tiwjdY6TCCGoqPATjXosnr+MWR/+nRULXiDatJTDDzuQo48+mm233TYvkZrH/wtpsn61x8BfhawnLfk+T9ZZyJP1/yiUUnz88cc8/PDDPPPMM3To2o/xexzN2J0OoqCoFKnANBSmUBiGygiPPPf3m3n49osy2ykrb09D/TqUlAzYYiy9Bm1Da6SBprqVrF4yk0AgQCAQ4M8XPoqTTPDK3y/Gc+IEggX0GjyOQaMPwLJDSARSmXjS1ElfSlBmLafUWKZJWvVGGbq2+KfKpNLIiTdnmchCgGm0WbJKaaI3BJiqlarkNNb7J4Kl3eAZL0AWYW/OI7C5LPbscaQ/86sNlDEPU8WplQNJUIyRykg3DQ9DSEDp7HQUWpFU4HgCzwPHFUSam3nj0fNZuvALYrEYHkH2OekZOvQYiWUbKKkwTYEQAssWuI7CkwolFcXFNqYpcF1FNOpiWQaJhMfc6Z+xcObjLJnzHIFQOy4451iOOOIIOnbs+K9eTnnkkSHr13sPIvwL5XSjnsdui+fmyToLebL+H8Pq1auZOnUq9947haamRrbZ8VB23PtYevUbSlEgSSThw/UEIZ/2F0ulY84b6tbxwWuP8Pbzd1FdXc24nfYm2lSLbSrKysqoqu5AVftOGHgINHslEgkcx8VxJQqTpJMk2rwBz/NQSmEYBmUVnSkoqQQlEXgYeBg4GCJFiIhU9rYPKfx4+PEI4BLAUUFcQiQJIvGhlGbHjePR2Uhb3RvXSKdj1iuYgOELA21So4axqRWdhudlxd+lxFCtOmNcpUrFVDz1nMAggUEyRdCgQJeIpUrFFCa6tlyghNArpNbSBC5BeQhcDNyMJyEajeJRgCfCxB0fSRXAVQESrp8kYZIyjDID2LaZUWazLD358vsEwaDBhnqXFUtrWfPjO/z49RR+XPA13XqP4fqrTmWPPfbA5/P9/Istj/8ppMn6jX6DfxWy3nXBd3myzkKerP8HkEwmefXVV7n//vt57733GDx4CDvucSjb7jQZX0j/EQTagjZQeNIjGY8iE1EiDWuoWz2foE/Qrl07PM+jpqaG9evXU19fT0NDI7W162loaCASiRCLJ2mor6OgtCOOk6C5YT0oRTKhS5MqO/Zj/eqFuquVP8Tw7fanXfue7LD3OShMbFqoVp8Ro4oG+iFIl08lMUlgiTiGTKRqpmPYtGKSRGLiEsahQD9EAUlVSJwClDJzFMWykbbSbRGjh6mzwT3ZJoriSU3aptkWozZUAls1Y9GCJVuwiGDJKIbSzUWkCOIZIaQIIEUAL/UshQ9P6YmHoeKUON/gGmU0+7fMjMtIxbCzE/A8D5YvmsmHr95NPBahrLILfYftRHnnUdx5VjcKCwsZOf48uvQaQ8jvEA56hPwu4UCSkC9B0E7iSYNWJ0hcFhB1Coh7BcRkIQ5hhKEtcs9TtEQSCENgO4tZ+s29fP7hK7S0Ohx37BEce+yxDBw48Pe6bPP4D0OerH9b5Mn6vxjz5s3jgQceYOrUh7F9AcaPn8AOk46hqPMYLNuiwO+ilMTyGnBjTbiJCF6iGem0oLBZuWoVc2fPYMWK5axatYq1a9cisWmsX0d1p16cfd3zXHLcGBKxKADd+41Cei7LF8/Y7HgGjZzEfsffyuXH9Nzks4vu/YHK6o504mNa6EgD/XPM2ez/fraCGOhKaptWfESxack8fEQQeDgUkKCIJEXEVSlxinG9VGJaaheWGaM7OsEs6QZTVrfCJkbQaCAgmvCLZvyiGYsELkFcUYgjCnBTD2mE8QiAMDJJZ7CpZZ7JbldxSmOf4ViVxIKD9bIsF376fe3aZZx9UHcAeg8ex/o1i2jasJp21d0ZNHISH71ye2bb+5+1BNfxkK5EGEKf5yI/xYUuBf44JaE4Bf4ohYEYIasFqUyibiGtXhHNiSIa4yW0Jn34bJNA0KQoEKF+0TN8+u7TfPnFlwwbNoRjjz2Wgw8+mMLCwn90+eXxP4Y0Wb81cMivQtY7fz8nT9ZZyPez/i/E3Llzufzyy3n5pZcYve04zjzrHIZtsye+kp46VpvYgIrX4jQ24sabQBhgl5KUfhKiE9/Pn8ldN5xGpLEuZ7udewzi4js+oyXSyIev3sO5hw8FYOvxB7PHkddSWtGNh286guWLZyAME7VRv+hOPYdT2K47R5z/HJ+9fieWL8iCmW8CUFrRnXL1NXFKaBD9EYbA70u5tbOlRFMkKnV4V1ugWCQoIsHGf2qFRQwfzfhpxi8aKRLLsIjhWIW00Ikm0Tu1XYsYZYCFz3KpVDMI0IiBk9p2CVGqaaQPDkUYls4ES48DBWZaOzz1PoOsw5A9NxYiQK21NVXOh8SoxPVV8dlbDzP9gyfwB0Jstf0B9Bm8DS9NvTzznT5b7MIRF73Dj99/zswP7+PT1+/JfNZr2F4UlhSQiDsYhkBKhee41K+PUL8e/CE/gVAhvkAHbJ9FUaFN2B+l0I4QtprpXLicPsVzcZSfqFdKi9cOAlVUDjmeySMO5ajmL/nyg5e56trbOOOsC7n0knM55ZRTKCgo+OmLMY//OQhDbOLB+tnbUPkkx42Rt6z/i7BgwQIuv/xyXnrpJSbusjd7T9qJqm6DsQo6QrIRp7UOL96AMCzMYBnC3w4rUEKcIl57+i7+fsfFJBNtfaK3GDOJsZNO5NYLd2XA8ImM3/d85nz+HB+9dm9mHdsX5I5XWzMlS/dfvQ9zvngpZ1xHnPsE7bsOoarzAJYt+pr7r9yV1siGnHVuemI1PYIzWRQdQbCgmFA4mGONGqn6ZJl6JB21iVLYP0L2tkziBGgEBDFRtUnNNEpRIJeSNEpxRBEIM6dMKxttCmy5A/By5ymbYN2qhSya/Q4bapbSr1sRQ/t34arrbmXN8rk561V36kPNqkWZ94ef8zR9h+9LMilRStFUX8PMjx4nHt3ADvtfRYf2AVavjhOLO8RbHZRSJOO6D7fnShKtCUzbxPbbWLZJQVGAgkI/Pp9BMimxDI9CfxOlgSYKzA2ERD2uCOJaFSStSkzTIBCbx6yZ03nsiWeprVnJFZeez4knnphv7/k/jrRl/fbgob+KZb3Td7PzlnUW8mT9X4AffviBK6+8kmeefppxuxzA/nvtREVlFYa/GJloRrqtWIEy7HAZdrAdyirEMESG4B69/xYevuMSevTdgqWLZjFu0p8Zv89ZVHbqi1JQW9tEIuFx5VHtNrv/i+/6ho49htPSEmP6B0/y5uMXEm1an/n87NsWUN2pN7FYhEsPK8n57tg9z6O5YRXbDqsiEY9y3333ZT6bsO/ZFJVWUVrenjETD0UILa7iOFrw5KckSrNLqETGnazTv300EZDr8ctaPCNEk70FkCu8YuBQnngfxywnaVbiWpVg+n/y+GdLpmYLvqTHmC5Ly4xPwLUn9qN2jSbhLr2GcuM1F3PHlOeZPeMTWprW5Gy/79BxLJz9AQDhwnJ6Dh7PPic8BMImkZAkkx7hsI3rSpqbE/j9FuGwTXNzAtM0iDTF8TxJYXGASFMc1/GwbJNk3MGyTHwBm+LSAAWFNk5S5oiy+C2PIn8jRVYdReZ6TNWKZ5WBYWMk1jF99lIee2QqzQ1rueryCznuuOPyHcH+R5Em63eGbfGrkPWOs77Nk3UW8mT9H4ylS5dy6SUX8+xzzzNh1/04YL89KS4IgDABhRWuIlSoSVoIGyFSJVgIXGnQEhd8+Paz/PUS3aLRHwyz9fhDOOyM+1AKoq2ShXO+YtHsaSz5/gOWzf8QACEMlNLss92uJ7DbkbfSULeav54+ANdJbDJO0/IxfOyhTH/v4ZzlhmkjPQdfoIDb77yHuT/Uc+f1p2c+39iV7guEOO6iJxgwYmfdSGMjZAuUQIq0lYs/pSrmc9chlItjVWgStiuRRlgTtfIIJReTDPZGKoEt67Hd9VjOegyvCWmW4PqqcO1qpFm0UROPNj1wXRO9eeJOZ44DbKhZzNtPXsGMT55Bei5XXnklH330Ee+9/z4oRff+23DoGffzw3cf0XvIDpSUd+PH7z9m/oxX+eCl2+nQfUsmHngd3QeOo7XVxTQNpFS4riSRcFFSIQyBkgrbZ+K6EtfR5yzaHEMIQWlFAfXrI/iDPvwBi3CBj6IiXybBLV3epn+jfi4MtFLmX09YrcFw6lHCRknJx7NqePrvdxCLbODaqy7m6KOPxu//6QlOHv99SJP1u8O3/FXIesKMmXmyzkKerP8DsWLFCq655hqmTp3KDjtO4oCDDqWs0ASlsMMVhEuqCRaUYAiBVAZCKLxUDCjh2SRdk6aWBPtvW7zJtvc66mrG7nURPy74ljceOZcl379PIFRERce+NKxfTkuWxQxQ2WkA59w6hzcev5gPX7whs7yorAPNDWszd/kufbZhxaLP6NJ7FCsWf4Vp++kzdCfCRdU01S3htOP2ZurDDzFjxgxChZWM3fsvjBi7H/5QBS9MOZmZH07JbFsYBre/HMGyQzkWcfrZFA5+by1+dy0+rxYp/Dh2e020dhkII0cXXAiFoRzCDW/SWrYLptWmiqYUuuwquQ4RXweJWjB8EKhCBTqg7FKUMLTF74qM/rnMsqhdt81Vni1/apoQba5l9ufPM3bLSmobPeYvbaCqUx96DtgWDCszTt3DW+ujL5o1jdsv2hGAi+5fjz9Yiue11VO3RJK4jpcTO0zGXWLRBL6ArRPQPElxuzCWZdDSnCBc6MfvN7F9JuGQic9nZDLo/X6tRmeaZPIIAj7wG60EvVXIlhUoN4pHgI+mL+G5x+4kEW/hhmv+whFHHJHXIv8fQZ6sf1vkyfo/CKtXr+a6667jgQceYMyfxnPIgftTUV4KgC9cRml1f3y+lKSGEhlL2lUGCc8m4VpIBa40cB2X6y44hOkf5kpXnnDlh3z35Yt8/uYdVHTozZDR+/LD3I9YtuAzOvbcmmSsido18zPr73bEzTTWLuezN+7ILEtbzGn0GrorW2x3EF+8eStN9WuINNRs8tsuueQSZs2axWuvvcYhZz3LoFF7Y1uC5oiLz2cgE6uxg+W89cQlfPzKrWy1/UEcfcGTme8L5RCQawl4a/DLWlyjkKTVAceqxjMKM8ycdpHrEimVKZUyVBJ/3Vs4lTtjmDaGUPhMiW1KFAKRyhhT0sOL1+O2rkO2rtPJeYH2qEAHpF2Gp8RmNdHTimQyy8ecdt+bJlS77xOxBpC02ud8lu3uT08uTEPw4oPnM+25Gxkx7mj2+POU1NggHvewLEFrq4uTTNfKq0yP7HjMoV1FmETCo66mmepOJYRCFomE1hO3LIFlGQQCBmZKUS2drGYY+r1l6kdBwMO2tHCO01qHrJ8F0kV6ig++nMdzTz6I40r+ev2lHHrooVhWPp/1vxlpsn5vxHDC1i8ka9dj/Dcz8mSdhTxZ/wegpqaGG264gXvvvZeRW4/hgP32oVu37vgCIWLRCKUd+hIuaocQbafSkyauMnClRdzVFporDVwpiDsG0WicC44cyrrVP26SnWX7Aux88OUEC8p55q5jAU3AhmHmdIkC7RLvO2wCC759h59C2ipMo2OPUfQZNoGlC75BGILh2x/LmBE9CCa/54X3FrP1LucSiYDrSnw+k3DYpqDAIhzSrt4X7z+Dr95/lFueXU9A1RJwV+H3anCNQhJmBxJ2B6RRkOl0pceQW0KV7TL32wpLJPHVvoVXtbOuAU8RtWHkHpu0y1sh8KTEi9UjW2tQsRoQFgQ7ooKdcM3CjDa6lyJtx9WkDVoK1TQg6YDpNVPhfESNb2cw7M2WeXkyt5zLc5O8/cwNvPrIpex57J2MnHA8QggcRxGNOtg+k2hLcpPtuI6Hk/QoLA5gCEEkosMWobBNOGwTCJipYyWwLF1rnjaSpNRiKn4fhPwKw9CEDWCgUNIjueE7SGzAs0oQ8Rre//gbnn36MUzLz19vuIwDDzwQ8xdaXXn8MZEm6/dHDafgF07MWlyXHb7Kk3U28mT9B0ZtbS033XQTd955B1tsOZz999uPIUOGUFpWRmNzjGikgbKOgwiGQ5jIlGSngVTafExKi4Rr4UiThGvgeNpdu2j+XO6+4iBq1y7lyHOn8vrj19CwfgWx1iYAJux3EfFYAwtmvkPd2h83GVe/LSZS1bkf3335Cv5AiIbalfQe8id2PeIO7rxgFLYvwMgdDuWdZ27gqqkLsU2LT6Y9z+uPnMcxF71Ir2GTCIcMXDfBJ68/yOwvXma73U5m95EWa9whrFyfIB5ZQaRFEGncwAt3748vUET/EbsTCIZINi5m9KhhjJ+wIwiLmNmZmNlJW9ApGMamGdnp+0e2pWoa2kq0jSTBDW8iq3bC9llYhsRvepvqibNprFp7MiQyVovbsgYZW4+wClChLniBjrjKhye1xe24kEi2jdE2FQWxL1FGmGhgyCYyqtn7z25uklZMe/quk/jkjSkMGrUfB57+BLZtknQkTlLieUo/S/06DdfxMhZ2KGSRTOr1LdsgEDAJBIyMVGu6KUpaFMYywWfr/VsmlIQ94o6gKOimxqVwG3/AiyxjjbsFpaFW7Nhi3n9/Gs8+8yzBcBF/veFy9t1330wnsjz+O5An698WebL+A6KlpYXrrruOW2+9jUEDB3DAgQcyaqsRVJaV4AbasX7NcqItLZR3HYxlB7QUZcrlLYQi4dnEHB+ONPGkIOFqizqWMHA9uOGs8Syc9T5jJ52M7S/i3eeu22QMRWWdaK5flXlfXFZNeXV3alYuwEkmsP0BOnUbwIjtJvH4Xedz+ysREgnJpUd2IRZt4uTLn+Ouy/dj72P/RnF5Nz557Q4KSypo2rAa1xMUlZSxYvF0Ig1rM/sYN24HjjrqSM477zxqanJd5aFQiO22246JEyfSqVNnltfEMat3Jq7KsG0Dny1IxBoJhgoBhWkYmJaZSZISAmwrt0VlxgUuNFmH6t+E9jsR9BvYhodp6BU3DisopUnbSLnGs2PfAJ7r4kbXkWxejZeMQLAa198VxyzH8QwcV1vUnoQCdxGFailN4XFYtg/LVBk3uk5Myz0vOfKmqX/ue8/fyIsPnk91lyFsvdPxFLfrQsde22JaIZLJ1G9QOvlMptzqibhOQmtXEcq4vV1PYRoC00yRtCHwPJWRJdXeAEEwoCc50RiUFCqKAi6WqdokYhU4kVU49fOJhrcmIdqRjKyhWC7gw3de4JlnX6Ciopy/3nQdu++++8//g+Txh0SarD8YM+JXIetxn3+TJ+ss5Mn6D4a33nqLo44+hvJ2ZUyePJlttxlDZVkJlmXRSoi1a1YTa2mkvOtQLNufQ9SgE8hakn4cz0CirbmkK4jGNVE3tyjO2XvzFo1p2kzY71xaWxqZ/fnzRBrX07X3cJxkjNXLvt9k/XBhCYefdjP3XnMsF9/6BluO3okvP/+cm87cjgm7H8y7rz2Zs37/YWMpbteR+vXLWb54FolEK+XVfejcZzSBUCnSizNyYDFDBvTkzvufpbnFoVPH9owZOZDhQ/vQ1Grw3aJ67v/bacRiuh68vENfOvXYgsVz3ifavJ7Sii5EIxtQ0qN7v5GM2uFQtvzT/hQUleaQsyezLes2N7iv8wR8tollSMyssIJAoRAYQmY8F2myNAQYQmYIPb2+EIpkPEa0sYZkZA1K+PBC3YiKriSljT/xIwXOAloKtkH4dLKfZeoGKmk4blsMPE3c2SVr6deLv/uYN5+8mvkzpwEwcuKJ7Dr5NhIJmYmT6wQ3hVKKRNzF8xRl7YL4/Voz3LJ0bNo0NWGniTo94bFtLVRTXKCwTEg6goSjj2F1iYPPkphCD9JTBk5kFckN8xHlI2mRFSQcQWvzBgqS3/HpO0/y1NNPs+suO3H77bdTVVX1T/4ZefzRkSbrD7cd+auQ9fafTs+TdRbyZP0HQX19PWeccQbPP/88Rxx5JIcfcjAVFRWYpqlLrbBZs66eloYayrsOxfb5MYTEROKhY9MJz8bxDGKORdIziDuaoKMx3VN66eJ5PHrzgaxfmSW8kVWf0666O62RehLxKGUVnairWYbPH2TYmEmM/NMe3HnFYZuM+/nPo+y3TQFKKbYYvTOzp0+julMv/nLLC/ww/1vWrl5KtKmOMeP3odeAEWyoreXUAwfStc/WbLntHvwwbxarfvyG2jUL8dwkpmlzyTX3MqRvJY4M4DNiNLgdWdXckZZkEb6AyexPHmH6tNsyv6O8fR/6bbU/ZVU9WbHwU4rKuhAqLGDxt2+zZN57hApKufK+GVS07wpoMszuJ22ZCoskxrq3CXWdgG0Z+Ew353emE8zSBJ6dYQ/aJW6KXA8H6DyBuGsTSRgkI+sQ0WWYXhPSCCFUgtaC0Si7BMsEQ+g4cMCW+Exd7+x4OnzhepBMEffGlnUahgDXSXDTORMwLR9HXzKNaNTDcdrMc8+TKAme1KVc4QKfjtunCFtb0KnJQZbrPH2X8PsEAb8gFACfnfqNnp5klIUdTENioLQHQwmc5pUk6xcR7rQ1zU4JkZiOV0ebGqDhCx6573q+nzuXu+68jcMOOyzfnvM/GGmy/uhPo34Vsh778Vd5ss5Cnqz/AHj22Wc54YQT6NGjBxdfdBGDBg7AMC0kBgaSJH7qm6LUrVpERbeh+ANhhFCZOHXc8xF3fcQcnUgWd01aEwIpBc1RRSKp+yLfc8k2rFz8VWa/lZ2HUF7dk1hLLUvnf8pW2x9AQ+0qfvj+cwCC4SJufnoVBQWFrF+/gXMPKAdyVbUuuO4x4vEY0175O5btY8y4vZi4x2SCoWAmIUpJj4fvvJRnHv5rJtHstBu+pEufkUSjHqYpMAyP5rqldC13KPetBiUxhUuTW8XK2AAc6cOyDEJBg0RSk9rfzhxA7ZpFnDelFcsytJvXlcz+bCrtO1bRq/9gmqMmD121A5Xtu3Px7e9n+junYZkKn6mwRAJn1TSKuu+AzxKYRlvAO+21SJNx2moWZBG3NDNZ40KolKWtOPOEw/n4g7cZMnxbrp7yPipeh6yfA0iQDtIuxwn0xLMrsG1N1EFb9w43hM5Ej8ZclAjgSFO3y5QiVSa2+bacFxzWm5KKrux3/B2Ud+hHIqlIOpJEQmYadiilSCY9fD4Tv18/PE9lCDsYNHBdhetp0k4nmymlY/92KtEs4NPSr0LosRf43VT5nMyEB2J1C3Fb6yjoNAphWDTGfDRGTSJRRSJSz9rZ9/HQlFsYsdUIHrx/Cl26dPnlf6o8fnfkyfq3Rb6W4t+ItWvXcvTRx/D5559x+hlncMghh+C3TKTQ0VCpTJLKTzKZpG71Yso69CYQDGVaUHoYxF0fCc8m7prEHQNPCVpiBlJql7cnIZHQ6x989lvEWhoJFVXyw+xXef6ug1i/cg4Ae0y+jDE7HsaFk/syYf9L2OngKwgGDKRS1DYoDDvMiZe/ysev3s73M6ZlLPLvZ33GaRf9jd32OTzzu9JNMFLvuOnSY3nv9SeZuN+51K9fwTcfPYWXWEc4KHBdA1NGKTOX0LfDSmJeEStaBxKRlZgqTsfAfAYWfEhNvCu1Tncam3WrRkPAERd/TDLpEQhY+HwGra0uNau/Z9oTp2xyrFtbGknEmvEVFedKjwqVcXk7aOLVKmYaQijIspYzBJ0iZUt4+rOU6zrtIldK8P60N/j4g7cBSLTU4tZ8huFFobAvhLuhvCSidTn+6EwwfBiF3QkE2+Mzpbb6UdSuW8kBOw3Fsn1MOvAEDj7haizDwjQ0abeJsLQp0u115GX8/W8ncc2JA+jQbTCDRu1Nx55bU9F5S/zB0oxYimkaeJ624A0Diou01RsKiFQ/c4HhKjxDEItL/H4DX6pk2nEVjqvL0wqCmphdKYi7JrYpwTB0JzcUgXa9aU22EKv9nnD1EMrDcfyWD59lUS/KCPc7m7Nv2od3nzyXfv0HcvNNN3DCCSfkE9D+Q2GYAsP8ZR4SI68NvgnylvW/AUoppk6dyhlnnMGWw0dw7RWX0qF9NY7wYSCRGHhoyzrm+Vi/Yj6W5aNdx16Z2KknTZLSoiXpx/V0ElnCNYglBPEExBI63hiPS6RStEQcAgFL18764JUHjueLdx4CtAV98Mm38sqj1xOPtXDRvYswrSClxQbhgCKWUBw7IbfcpqJDT2rX/MgF1z/GDjvvl2mvCemSKF1/u3Du1xx74DgqqrtwzwsL8PCzrqYWO1SJTEQo8BZTKNbQ7FWxLtGdFqdYC4p4Cs/TWcyFdiNdCn6k2N/IutZqalo70RQvyLhMfT6TgkIb0xC4nmTZvA+YP+M1vnyrrfZ76x0OIpmI0Kv/Vuy8/0kUFrfDEGAZCtuUWCJJ6/J3KemxvbasU1a0Pl86Vp0ma0t4maxwS3iZc6IQeMrQnaeVgecpHrj9Cnp07UDXrl2xiroSrhqKNPwYqEySmiUcVOsanOalKOkRKu1MqKQ9wjCZN/sbjjloAlUdu7Nu9VIuvOFJRo/fLyO+4qVIOvM+XZ/txJkz/W2+eO9Zvnj3icxx2GGfC/nT3lfgeapNV10qfD6dCW7bgqBfaPJNxaw9LxUusNraeKYzxKUEvw+KQ14mpOAzZWoykxKcQYGME1nxBaHK/gQLK3Q837Ooi/qJJQwaI4pYXLJqztM8NeV8evboxtSHH6Bv376/8r8vj98Kacv60/GjfxXLetv3vshb1lnIW9a/M5YtW8bkww9j0eLF/PXG69lph7EkzQAu2pKSysDBh0DhKZNoUx1OIkpFpz5tJVmeRdy1SXgmSgk8laqdjgviCUVrTLs6pdS1yo6rCIdtPM/ly7fv5LPXbtHqYil4rstDNx4NwE4HX0FBQQifrd2eCUcgleCgk/7Gm0/dQFO9ztKuXfMjJ1xwF6N2OAjHk1goVIrgDJW6UaPoP2goJ599GVNuv5bLThzHpXe8RVmxHzM6Hb9aT5PqxA/JscRc3QRCCIXydFKU5+kM5tpYmNrmIRRYETqVrGFI+Qzirp91LRXUxSpoTeg/cyBgUVRk0XvIeAYOH5dD1st+mEOooIRnHricxoZajj/v9kwPb8vQsX9Iu2+NHCtaIbAMF5/QQi+WcInGk/j9AdI2eJqwpfKIRZppiTQQi2xgzz0m4S9qjxkqxx8I40iBIJGxnB1pYhsSf6gdlJcSj9TRvGEV0Q3LKCjrRJcuXbBsmx33PJK3XniAH+bPYOsd9s8koVkoPCmwDB1Dt1Lx7Ehrgi/ff5aO3fpi+wIgBFWdBzJw633x+Qz8foNEQuI4+jh7niIadfH7TYJ+E78PhCNobNZWs+dpUZSAXz9sS1vjfjs1KXR0W1C/kphCk72dil8DGJafcEUfWmsX4A+VYlomPtOla0mC5mQAv+2jKWpSut0htO8/idceuYShw7bk8sv+wjnnnJMXVMnjfx75f8DvBM/zuOuuu7jowgvZcdJ+3HPbX/EVV9OKgU8lUAiS+DPyoK6ycKSgqXY5JZXd8AjieULHLaWZcntqom5qNXE9QSyuSDrgugrH0SQdCppYFkQa1nLDSZ03GVdFh35sud2+fP3Bo9SvX0GvvoMoCAkCPk24jitIJGHivqexfPFMvvnoGc688jE69RpOVYeuQBsxZyNNXqZhcMSfz2DEyG24+uKTaFj0KlXlJcSsbqxW43GtIK6r+0ymJTNBW9Zaz9rTEw9P0pAM0dDai3lGD6oKNlBVtIHhJd/iSZOmZBkx2iHdchwnhM9nc8JfnsY0BVWdB/H+y3fy1buPAtC150A9RqHd4IahMmStXbep3yAUtnAJGHEMPFzX5dlnn+XBB+5n+fJlmKbJ8BFbMfnIYxgyZCix1gix1hZs20+wsIz2XQdg+ItSCW0GQiQoFB4GEkdZSGVQYiT1xAwTgcJfUkJhUQnxaBMNdauJRpaw9157sdPuB7BgzuesXLoAw1AkXUMnpAmdMCcEWEoTd6w1ysuPXMXn057IOSdVHXvitzWpJhIyFX9uy/z2PEVrq4vrSmxbE3r3jrCuXuB5gqSjME2dUAbaojYNnRnuSZ0V7qWuyYApc2L8AFZBNWbzahJNyykq75byCggK7QT+Yo8Cv4/GVgvKCznk1NvoveW+3HHvCTz9zDM8/NBDDBs27Jf/EfP4zSGEgfiFIQwh8iGQjZF3g/8OmD9/Pocffji1tbVcf82VjN56NJ6h50lCKVxsJEaWjrd2OTc11NJUt4Z23UbhYeJKvY4rUxnCUtAYtUg40BRRJBIyh+zSyVSGASsXfcI9fxmHL1DAsO0Op1u/MXTpPYKm2kW8/dRVrFs5D8vyEW1ppNeAkdzw8BdaJtMTLF08j/uvm8zyxd9y8qWPMXrCwam6ZUXA1uIhaTe4SJUxmUJhGh6mUHiJCKuWzEEmozS0mhT12JWoE8RxIBKVxGIejqsyyU9OiqA9T2csS0/myHQahkAIrXtt21AWjlAeaqQs2ETQbEQASVHIkh8W8fVnb1FTU0Nr3GHY6N0Ys+PhmazwtMvWb7kYMkn9ko9o33sMlmVgCQ9LuPhppbGxkYbGRh559FHWrllDdXU1nTt3ZvCQoYSCAdavX09V+46UV3YgVFCE5Qu1lXqhE8U2hiI3JpdOYku70xU6Hr3w+xn8uGA2ffsNZNb3C3no/vv425Pfg2GljrXOIjcNhWUoamtWcdw+g0jEW3/yejz4tIcYNGZyWwmYUiipwzNaz1x/EAqahIIG4ZAeW2tMkUjqJLRwUEuPBnwKn61DHpbZ9mwIhSmkzg7Pmsy5sQ00rZlLVc9RWJa+npXSWRhSGUSTPoK2y5qmIPGkQXMkwRtPXM37L/yVs88+k7/85S/5rl5/UKTd4J/vuC0F9i90gzsuY975NO8Gz0KerH9DOI7DjTfeyNVXX81Bh07m4lOPwSwow8GHKVykMnGUnbE+0rHONJb/8B3h0i74ijrgSFPHQZXO8k54Js2tJvGkTv6pb5JIT8ceQ0GDxg1r+XHel3z40o20NNVwyvUzCYR0Le/KxV/wyoOnsHb5HJRS9Bk0kmPPuoV5sz5l6u0XMHHPYzn2/CkkHK14dtdl+/HNx89T2aEHtz37g665tRR+SxKwPHyWlylpMoSOV5pC4TkxInVLiTau46233uSTz6Zz0Z0fY1gFNEQELVGdoey6UqtoOR5SKm1VO55OnJIKJ9lWRmWY+vhYti41sn1mRpI0EDAoKxbYtBBvaWTRV48inHq6de9Bp87dECqlVy5sTXaGhWEYmvxRJGNNBIIhQKGkRHoeiWQSwzBwHIcNGzawfv16ampqWLlyJfX19cydO5ek4/DaWx/RvkP7zDizE9GysQlJb6yIlnov0STmuQm2GdGfU8+5muFDe9PaXMvaJotuww/WtdHpkq+U1nmitZmDx3fASSY49MRriMUTvPDwlTn7HDpmX7be+RS69Nkuh7BB64unS7YMA2xbX09FBTrpzHFIETYZd3jIL/FZKhXLbitxs0wdF7dSoQZDSCzh0rhyBqGiSoratc9MZFxpYQhJwrPxlEmrY+N6gsZWrWe/eP5sHr3lWHy08OCDD7LNNtv80/9fHr8v8mT92yLvBv+NMGPGDI466kgSiSRPPvYow4cMIG6ESaKzZB3lw1MmZipBKal0cln65t4aS+ImE9iFFSgEsViM7779igXfz2TNqpWsXbWUsurezPj0JZo2rKX7gHEMGXMAKxZ9wYKZrxFrqc8Zz8JZ0wgEgyz69hWmvzeVnv224qSL76PvwC0IBIJ8/elbPP3ANXTtNZSjz72TpKsTlpKOwnU1ye1z5IUYQmFbiqDPwzalVvpKlSql3Z7STRDZsIJoYw3KDHHJpZdTUFzJZfd8QlIVUN+siLR4OI4uKYrHtOvV8yTJuJtpGuEk3JTVp9s9mqaBUjqL2RBgmga2ZRIIWISCugmFQuAPFfDMg5fxxlN/46jTrmXiNsfgyVRbTy+JIIGpHGyRwBQOKIlQSZKxJopLK7BMA8sA0xScf/75fPrppwweuiV77nsIQ0bvxLf33ca0adOIx+MceMgRTD7mBKrad0RTrCYfA7lZYs5ORsv5LGVZpz/PlIDZNluNHM1D995I4qTraFrzHSOH9cZf/y5ewQDcQIdU4pcCKfCHivj7G0t48Nbzefyeixm69c5cds/n3HrxPpl8g9mfP8/sz59nxLgj2emQmwgWlOaMxczK5DVNkVF9s1N65lIJXdblQkFQl9G5Mp2UJzAEJKUg6YHfkrhSVzaYhsDDwFfYkdbmNYTLOulQifDwm0kcaeE3HeKewDQktqEIlzq0Jm2sQUO54t4veOe5W5gwcUf+fOwxXHvttRQUFPyyP2oevzp+lWxwmc8G3xh5y/pXhlKK66+/niuvvJLjjzuOs445FDfcjpgKYQod7BMoZIq0067vdMaxQuBImw3rVxFpbuSdD77k0/dfZ96cb3CcJOHCYiqru7B08XcYpskOe5zInK/fZf2qBYAAQab4dtSEI2lX1Z03Hr8sM76yyk7svO/J7H3oaSxZOJPKqvbccNFhLJjzJaO235PTLp2KL1RELKHbSK5atpCLj+zH8Rfexw6TjsFnKcI+VydlpUqe0pnShvKINqwmsmE5/lARTVHJyX8+BNsX4Iq7pmEV9qShWRGPSxxHu7/jcRcn4ZJMehkL2km4mXaQoGUvdWMJU7u+fZbWsQ7ahEIWfr+JZQlsW1BeIvhh9utcdfruHH/OLexz2MlAm4BIulTLZ3qYhoeB9gZYKsbyhV/Tq/8wLNPIOKPnzJnNAfvtzS6T9uOKa24i6LdIKptD9x5P/YY6amrWYts+Tj3jbA465DCKCgszhC2QmQh4jgWd5ere/DUkcr6zYvkybrzuSj587y1OuewRHr3jHHbdbQ/2328fMEO4BQMxg2UZd3j6d3775VtcedYBDN16N46/5GkcJ8HsL17l49cfYN7MdzP7G7vXhVi2jwFb7kDXftsRj+ssfGGAZQr8fgO/T1AY0ta7lFpkRyrwWVocJeSTm0ijgvbApJFRhZMJWld8SHG3bQj5rdRnLobQCWmuMnGlRcTxI6XAZ3kkXIv1zTblhQ6rli/m1itOJNqwkhdeeIEtttjiH/wj8/i9kLasv9rtT7+KZT3q9Y/zlnUW8mT9KyIajXLUUUfx+Wefctc99zNsQC9aRQE+kSAhAxkrAnLdo+mbctoN/t3386lduYA333iNd999j1Hb7ciwkeMYutU4qroOwvUMatauRoowD9xwDPO/fZ9ELEKoqJLqLkNZMncahSUV/PXZdVimQHkxnHgE12mhoLAdLz56I++/cj+Rxlo9FiE4+eIp7LL3kTnKZ1IK3nvpTh659VSmvLqK6upqwn4Hy2hzdWs3piTZUkukdgnCMCmu7MmPS5Zx6jH7UFHdhQtueRPP6kBrXBGLSWJxj5ZIkkTcxXU8YtEE0pN4qcwllbKm0y5v0zIxTEO3cLRN/bAMCor8BAIW4bBJabGBaUDQTnL+kVtQUlrOzQ+8jWG01R8LAbbpYYk2zW9DSIJWAkvGWLJgJr37D8U0zZzz8+orL3HRBefRf+Agzjr7fIaPHMNB++6KaRjMnj0rs96DD/2d7f40NlMHn90FLU3AEjOz739E2OnvZNziUrL37hOoWbuWvY+5lufuv5B+g0dz0ZW3YMeXoHyViOJ+GHY4UytuCsWMT1/hsjMPZPBWu7D74ZfTqedwhIAl87/m8VuPYfWy73L2OWSbgxi39/lUdhqE36/H6rPBZ+sYtW0pUqeFeDIlFmNoEi8O6ZrzTEmYIhPHhqyWpELRuvozfCU9CRRW4jNdXRJnSCzDzUxiPWXSkvQTc3R8PuxL0hT3k3ANQnaSpx68mRf+fj0PPPAABx100E8exzx+H6TJevqk7X8Vsh756od5ss5CPuXuV8LSpUsZtdUIVi5fyrSnHmLgwAHERBilBDEZwsPcLFEnpB/QN+/5877n5OMmc/Be4yktKWLrsbvywodLuOq2Z9jz4JPp1GMgrmfgeIKS8s4smP0psz5/mUQswh7H3M+pN86mvmYhXXsP56YnVxIOQDggKQj7KSsvp6K6G1efvhMvP3JthqgLi8ooaVfNdhP3xVMC09DWmSFg5sdP8uTd57DDpKPo1KGSQn8yYx1ZhnaBq2QzjStn0bxuMYXtOlPRbTg/LlvNqcfsQ+fufbjo9g9JGh1obpG0tHg0NydprI8RiyaJRRO0NEZJxpMkY0k8x8NzPJyEk4pVO0hP4iQcPMdN1V3rZDPDMrTL1YBgQBD0K4rCkhWLv2HlknkcfMy5qU5RqaS3VNxUoHCVQdLTCXuGkNjCzdX0zjo/AsWee0zi8SeeZO3qlRxx2AG88fqrNDU1U1BQyMQddwKguro9vXv1zCFqQ0kMJRFK6RCHUBh4PxnP3hzSbnEMizPOu4JoSxNP3nUGh53xAN998x4PP3AvbvkOYNhQ+xGqeQFKuhlJ0lF/2p3Lbn6Mtcu/45qTR3DNSVvw4atT6NBjS869fTanXPsRXfuMzOxvzmdPcds5W3DLGf1Zu2JhiohTk0mV5a4XEPTrkEi6fWcsaWRe6+tI138nUzr1ur+3LgUUdhFOvAVXGqk+6zpxMh2zBm1tF/riFAWS2KakMRYg5HMpCrhILPY/+gJOvfIJjj3uBC644AK8jdus5ZHHfxHylvWvgA8++ID999+f3XfZiWvOOZV4YSWusrWmt7IycWnIJYN0uQ5AQ0MDE7cfQ3llFcedfA4De7WnrMef8ERAdzGSJknPoCVuIiV8982HXH/mDjnjKCxtTzLWzLVTv6eyQ5dMU4i0/LcnBS8/cg1PTfkLvQeNItbSzOrlCzj/xucZM24SiXiUWdM/xh8sYPZX7/D81OvZftdDOO/KuwkFbF3WlMr2NmSClg1LaW2sobCsmsrKKhojrTz7wls88eDNFJdWcMmd79OSLCXaKonHJc3NSeIxByfpEY3EUyTs4Tra7e25XkZdC7RFDeAL+LD9NpZtYvssAkGbYNhHcYmPwrBJeSnM+vxlnrnvL6xcovXCb7zvDUZsvX3O8ckch1QSn890KfTF8AkHJR1+nP8tvfoPwzCtVAlXWzkXwKJFC9l9152wbBvXcdhqq5E8+dSTJJMuQghs28wiM5Ui6jbfsBQmSgikMnMs67T1nCHmFHSWtBZZUUrgKpOVa+o5aLfhbDX+aDp27cNTd57MQcdfxZ6Hn4ufFoymuSDjmCX9MULVmQQ0x/H4/ONpvP3Sw3zzySuUt++FUoq+W+xE+65DGLjVnkQjtbzx6AXM++b1zPU0+dyn6Td0W60ZbtLWMtPQsWrQwijp42uZKpOlrrUCRMaa9luyLaEt8iMy0YyvcliK3GVmAmgb+v+Slnx1pUXU0c1pDEMRTeikzGjCpCDgMee7H7j38r0Y1L8HTzzxBCUlJf/yfzePXw9py/rrPcf9Kpb1Vi9/kLess5BPMPsFUEpx5513cv7553Hlxedz8P77kjBDSGVmsnl9Ipm5IWcTAICFi8SgZu1aLrrgXDwpeeDx1wgUtGPDks9x8SFTtahJzyDp6rtjY309G2pXM27PU4hG6pn+vq6njTSs5Zjzp7Jm+Vxef/wqGjas4exrn8H2hQDJj/O+AgRDR01kwezPCIYK+cttbzB45I7EkvDk/Tfx0t+vAbRr/JjTr+HQY85IWdrpSYYk0byWltofsQNhqroPIxSwuPrKi3n+mSfwPJctRu/G3n++g0iihHg8l6hj0STx1iRO0tHWtOelrOgkhjCQKXLTcpgmvqAfyzYJBH2Ytkko7MOyDcrK/BQXmZla31VLvmPlkrkcfuKldO7aiyFbbJ0jK6rPV1s/apHKoFYqFedPQSoDg1RIIpVXkEafPn154423uP3223jrrTdp36E9hpL47bRru831LZRCKImhPJQwMucflY5l5yrCwUYJaFkucKV0YhZApw7tOOLPZzDltqsYucNhjN/nLJ6+/zI+eftx9jvqIgYOHUX7Mguv4XtkdAVmuwHgC2NZJiO32ZGiknLaVXbkrefuRgjBZ2/cBcBz9xzPRVNWcNRFr/DVtPt57p4TiDSs5a6L/sTkc55k5A4HIVNJZrquWie1iVQns/Tx9XISg7SnxpXaOjdT4i2WIXEME4WbIXUptcarK42MSzydx+E3kniWwPECRBM2noSwX1Lod1hZH6RXnz6cfeuXPPHXQxg5ciQvv/wy/fv3/2d/3zx+IwhDl1X+0m3kkYs8Wf8/EY/HOemkk3jttVd5fOpDbLHlcOKGhVIiU47lE4lMjNLEy7hI00lHUsFzzzzB9dddQzAU4obbHqa4rJrWuIO+pZs6mUdqok66ghmfvs7N50/KjGPSYZdkXu960Dl8OW0q38/8kMqOvWmoXcFDfz2DDt0G8OYzt7Fh3QoCwUL6Dt2OfY6+jAl7HEl1RSmekjS3Gnz2zhOM3eVQDj3uIsJBm06dOqQUvVK1204LzTWL8JxWSqt7EioqwxKKtevX89RjDwPwwEtzMYoGal1yD1pjkmjUIZFwaY0kSMQdnKRDrCWGkgrpeTiJpH6ddrdKhWGZWH4b22dj2ha23yIY9hEIWASDJoGAzgj3pXpUb7vDJJ6+71J69enH2Il75nS+AlLvwURrfVuGJGAmsYSX+Rw2ijNvJp7cq08/7rjzLnTmd3otpfXc0/rhKkv9TBjauhaGrosSRmbCpqdubVvJcY+nErwVepumknjCAAVHn3AmsdZmHrn/Ng49fQoX3TmTp+46mdsum5wZ554HHsefjzuB+JrPcKwK7r3rNqZ/9g6RprYqgY2dap++fiu7Tb6JrXc8jkAwzGO3aL331x69kL7DxlFUWomUAscgpREuMpOeNu+N3lb6XiulyIQhXC8d4xZa9ELJTJeu9Lq2marHlgbC0DkR6UqDQn+coG1R2xKgJWFRFvLoVBpjbVOAstISzr3hJZ6+7zJGjdqaxx9/jEmTJpFHHv8tyJP1/wNr1qxhjz0mIZMJXn/+GYo79MTFw1MWrtL1ojZJksqPmVKsgjaSBqjfsJ4LL7iQDz54j732O5gzzr+SUGE5rjTw8KNrfV1c6ceVbTHD77/9JLONyo696L/FDjTUraJDl5706DWAN566mb2PuYHROx3HrE+f48k7j0dJycjxR3LIGUfTd8hoSovMTKKQ306ilGBJzUpq1y5l9Jl/pVPX3hT5ExjC04QlPWINy4nWr6CotJKyrr2wLfC8GG+8/ibvv/t2ZkxF7brQ4uga3A0NHq2tLomERyyaJJl0cR2XWEsMz3EzM3Bf0I/rZNVSCwPLb+MP+PEFfQRCPnwBi1DIJhAwCYdNfDYp/WpYNvdtpt52AYVFpYzZbgKWkCl3c9ZJE+knlXG1pjOQ/xGyvSJt0OphKLVZQhdoq3pjwlbCzBC3rgDILdXaeBsIbaGnxy9UWhVOcchRZ/D1V5/z+G3HY/uDOIkYvQdvy+LvPgVg0bxvKazqQ7yoA61LvmDvXbdl3Yq5VI8/jB32PoNguBwnmSAejxNpieMm41R16pkh2eFjD8UfCPDgtftTv24Z7794C7tPvh5lqkyTBaW0xWyZKtO3Jd1QJLsPg5kmahPwwBQC6Tk6zg4ZjXQh0ln7ZqYywlMmBgq/kSTihHClQVVhK42xADHHwlOCTqWtrKgPYZomk0+5ik49h3LQwYdw4QXnc/HFF+fbbv7OyFvWvw3yZP0z8eWXX7LnHnuwzXbbce1VV4K/GIGHg66bTru6Xey2RhCpG7qBtuI2bKhj9912pa6ujtvvfYQx43ZDKoOkp28+UhggTNxkAs8MZPoZKwV7Hn4xhSUVNNfXsN+xV+MP+Bk6cntdIuNGGbjl9rz44Pm8+OD5nHfXUo6++B0EDkO33km3PvSnlKYMCPlc/KZHwjMxvGYAnGSUkM/JxAudWCORmoUIIejUvR+hUBBQLF3yI2eecRoL580hEAwD0GfgCDyjANeDxmZJPO6hlCLe6uAkXDzHJRlPIlOub12Gpbto+UMBEq1xQEsNBkIBfAEfRWVhLNugtDRAMGhSWGBgpWo4TVMnOX3x4assXTybq/72eEbURGert503T5ER5khnsRsbESS0WdjZ2FwimFK5BCtULrmmCRs0WSth5MSktfWt3eHZGuQb788QUqt8bTQpaFdWzJTH3+Ht156jqbEeKQUvP30f/QaNYPcDT2Gn3SZhCkU4FMbXfweWLHuUSy65hI8++ogn/nYMJ141DTtQiB1UhIq1RG12sw7ThOHb7UfhDdNY9eMcRk08JqURTkplDuJC97c2zZRWeNqaVtqJoM9lqhGK0uWJpq1wpYFyE5hmAE+mJj5Z/xWp9PRFy5GamKaHKSRhO0ZdrIiWZBC/6dEUtykOONQ0B6kuTrKs1k/Ap9hq+wOp6NiX2y7em1mzZjF16tR8PfbvCE3Wv1BuNE/WmyBP1j8DDz/8MCeffDJnn302hx9xDC4+TDziSssfGmiFJlfpjlkmHgjaXqdg+kLU1dWx9wGHs824XXGliacErjJSbkOBsEK4iSgqqFXHkq4gEU9wwm7Fme306DeUbSccSDhgakvNCnHRLa9w6PY6IaO0ojNVHbsS9OsL33Ud3n71Xl5/4jpCoUKuvf1R3M5bEmuN8bdLD6NTtz7stvP2hK0EnpREapfS2riWoorOtCuvwhQKheL7uXM4/OD9Ka/syO2Pfkh1x54csENnttpuEklH0JQiatdVRFuSeJ7u7ex5MieBzLJtggUB/CE/sZY4yVgSgGBBEF/AR2lFAaGQD6kUxcU2rTF9DEMptcnli2dy6Z+HY5oWVe27MHr8PiQ88JteRlQENFn4TBeDdKxa5ri7s5G9fOOs8M2Rds6ylKVsKA9DpdzrG5GsjltrKzv7+xvXYWfvLz0BVAiUUBn3eMCG3fY8IPPdg488KcebkH5pGCbb7XYkpxw2jv323p0zThrOd18+TM9Rx6Qy5nWOgkwpl/l9Ak8qXE/Ra/AE+gyZgFSa0CHdklOTdjzRllBmWboXdtolbhj6YRpgIXSimyf0xCnZggxX40mBYeoOZGbWsUyXMVqGi1QGZiprv8TfSkQEWBcJUBDwWNfswzRgTYMm6qSjW3ZWdN6CU2+YzhN/O5AxY8bw8ssv0717982e8zzy+E9Anqz/BTiOw9lnn82jjzzC3VMeZPSYbXFTGb2tMoiZImmJgass4tKPLVyUEJkyFIl2fUpl8Pa01wDYZY+D8JRuzJGWEZWp5CIj2A4vvgHP1wnX0zfDupofc8Z195WTKSoqYvTY3TM3yOU/6P7Ux13yApYpKCkUpD3Mj95yHJ9PewTb9tFQt5ZFP65mZMfhPPfQ1SxdPJfHXvqY0iI/8dZ6Nqz+AdOy6NxzILY/lPoNAhTMmDGTeCxKl+69Oe3w7QG47bEvadd5OOsaFElH4biKWMzBdSROUtdTCyGQrsS0LbzUoGy/TUtDlHhrXHdiCviwbJNQYQDbZxKLOxSXBPA8hd9nEA4Kvp/xHphhmuuWAGDZPvY7+kJijoXPlCRICXCgsAxXZ8SniU/kku5PuqCzXm9azrWp61yoNks9bVGLLFLe2GrOTCZUrnWdvW72eulkK5lKiEuTt51qEiJps8L1Q5NqY30tiUQSww6yfNkSHnvmDcaO3Z4dx43C8WZSbwwGbG0Vm7pZhyc1gft9QuuFo5892UbYQKazmz6uusd1IimQqZabpgG2rbPIQSufeVLgtxxI1uMVD0JIoftmAx5gbZRn4CoDE4FQ+igFzASOZVIctGiIWvgsRXOrgWVCIiFIOtoz47eha9dKzrrxHZ699yyGDx/Bs88+w/jx4zc5d3n8uhDGL1cwE17est4YebL+J6irq2OvPfekdkM9L734Ah269CSpLDxlZjJ03RQhu8rMKJJJhI7EpZOOUDjSorGhnltvuoYJO+/JoC23JekZqS5aZIjalQJ85dDwPRQq7So0YP3qRRSVVuIk4myz6/G8+9xNBMPFGWvwm09f54FbzqWqcz+6D5mEVBCNKWxL8P03r/PZ21M5+LhLeeWJ29h23G78aYddiCeibFi3HIC1y+bRsZ2f5vp1lFV2pLy8HImFl5WVDDB863H06T+Yzz98PXOcCqsGsa7BJJHQVnU85qasL5mxpKUnsWwLpRSG34fts4m3JkjEExmi9gV8+AM24UI/fr9FUZGJ60qiUY+yUouG+mZuPHtCZr+l5e25espHtO/UAykhiYEpBZ5hELaTWgKTtu5P6WcjizR/Mu6ceWxKztlZ/en4dHaZ1sZQ6S5CWUSuCcrMiVtnP288Hi2qI3XpWSoBLU3cpAi7bWIhWLd2JQdM7E+4sJhgqBCl4KizbqV9j61pTMQoTMyivfcBtWxBVFXgum3tMtNiMn4fWq9dtlnT2QSdhidV6qepTBcvEHgJ3ZXLccG2tLCKmWzANnw4FGAq3SzGMrWIS9qzlI5Z66x4Xb6lhIcFqWSzJEIo4o5JcVgSjetuYoUhaI4qSgr1uCzLZu8/30GPvkPZfdIeXH/dtZx22mn5OPZviHzM+rdBnqz/AWbPns2k3Xej78BhvHD3nQQKi4lJP64y8ZRJwrMJmNp1m5A+ncEqFBYSV1l4ou2G70oLKSVXXHwWiWSCk8+7XpM0Ioeo0/lEnq8CpTxUoo5EwscDN53EZ9OeYsjWu7P/ifdgGoJ3n7uJy04cx62PfkFV597ccumRVHbsy95/vo14ywbKqyq1S13AR6/cQb8ho1m7chFSemy19bb87fJj+eqTt2luauC4E06hf++uxKPNdO4xgGDQT7rUyFMGzZEoj/7977z7xjO0tjSxoW4dBUWlHHHq9Yza8Vjqm0SKqHVTDteVJOJuTsaxZZt4niRgB0jGkxkRC3/Aj2EZhAqDWLZJeWWBlhC1tdVl2QI3VsNVf94OX0Dfhcfudiy7H3QK1Z16EA6FcohDC3LINos0JYaSTdQbW9hshrCzkVOS9U+IeWNkrgIhEGkXt2rTEE+/2tii3rj+emPCFiJXZ9yT+ppMJ81988UHAEQjTUQjTQwZOZ7u/UbhuOCYQRrsrQm4y6iS02lWnVnt9kehpVuVIiU7KlIWNplJF5CRI838xlTCuyG07KtKuc1NA9z0+DydaBZ0l5GwOiGlQcJVeIaBYXiYpJLNlMq487XNLbHTXgMh8ZlJ7TERHrbpIxK3CfgUjiuob1KUFQuaWqBdsaK8MElD1GbUxGPp0asvV55/AN9++y333ntvvntXHv9RyJP1T+C1117joAMP5KjjT+OsE4/ENQIklZXRLU5Ki4CZ1CSMnvm3JZelWlMqfZN3PX0jvu26i/j4vTe49vanKKvsnGoP2Fb7K1NSjUoJbBOccGcStbO56MxTaKxfz5HnPsaWYw8mTSx9hoxj0ZwPCBe3Y9orj5CIR/nzxc/x3TfvcsvZozjvb58zaMvRrF81j3kz3uO4s2/mnhvPAOCGy8+kV59+7L3vfuy9995IJ0FxaTvKKqoxhEiRiEG0pZlHH32EqQ9OIdbawnY7HkRl+y5UVFax1fjDcClhQ6NunZhMShIJD5lqb5l9c7d9Fp4nsf3aTWrZFk7SwfbZCEMQCPmwLJPi0gChkEW7MktLkyYkoaDJunWr2bBuWWZ7W47ZhS49B2OnkuWEyGrTmBLYyMSDNyrjykZbzHjzn//U+tCW5Z1Nvtkkm7am0xM27a42MYSnS7hU2yQi7Q7PbHvjGHYqVp0+LwZp700qsS21nZhjEfI5CBRzZn5Oz75D2efwM1mxdAFjJhyik7nQlqznCaJmN1pVBe3ETHr6PmZ5fBiuW5qKY2vCTiTBZ6dKzJTu0OV5CmPjQyYF0ki10UxZ5glPYVkC1xRaDU3GCLCOWsZjJvX1LnzgeEamt7gQuTXnOsGurTuXaXgEjAQBI4FtBEm6JnHHwDIV4ZCgOaq9AS0xQVFAj8MQ0L7Xttz22BdcffaBbL/99rzxxhuUlZX9S+c9j38dwvgV+ln/wu//NyJP1pvBq6++yoEHHsB1N97KnjuPwxF+HGWTUD5N1J7uDpTw7EzbSm3xaKUxaFNwSt9058z4nGcevYfTL7qZrbefhCfbSBrasosNIQCX+XO/4ZvP3mL3cUPo3r0nO1/xBmXVvTIuydZII2uWf8efdjmCdlU9mD/rM3r0H00gXMyTtx0JQI8+fWleP5/rz9qRjl17sc8Bh2CrZgoKAuwwbnsqK8qpWbUUJ5mgc/dehEIhBC5aFFPLcR51+IEsWriA7Scdy4T9L6S0vBNdK5I0xy0irQb1DZKkozIJZUopkk5btrcQAl/ARnoS229llktXUlAcxPMkfr+FMAShkI9QSF+SUipsW5BoWc5jd5zGMRc+xbHn3ccDNx7HXkdcxNbj9iRg65s7kOqfrTLNRbJj1P8ICpHr0t5cElmWVZ35XjYRp0h3c9ncaUGUtE3vYrFsyXLuuPWvNDc2MGTIIIYMGcLAwVtQXV2dGVP2+DZ2ixtIpDAwsiZ66YlikS+CEn48JZgz4wuGj9mJP+1yaKbG2fG0yhgIXDMVFzbDrFHbUqgW0Sv0JevdvtR73XHdVLtMD1xHZ/an51/SU5uIzliWQTqP0kVlvCqepzPGTVNQbi8gYlQRl0F8Lhl3tFIGlqHwGZ5WPVPpzySG0FoDQKoRCHimiS0c/GaS4kAcy/ARSehSMNMQgMCTsKHFxvWgW7mux07Y3bj87g+4/bKDmTBhAu+++26esH9l5N3gvw3yZL0RNFEfyJU33sueO48mKQIklQ9HpQRPpIlteDjSxBSKpDQy7uts8t24w9uTU++gc7feTDrgBLzNlAcppS2Z15+5m8fuu4ENtTUUlZTTtePFnHHW+dQHemqrW4Drurxw30k4iVYmn3wllqn4ccEMtth2X1595C8AFBS3I9a0iqtO25Gi4hLueuglSgosJh97MrZwcVrWsfyHeRQUFtK1a2cMw4JUlyiBpKG+iWuuu4Hv587hwlteY8CIXTEEFAZdmuMWzVGDxohOJmuNeake1BIvFdA0TQMlPfwBC9eRWLapCTto4nmKQLGlGz1YBp4nKSryU1pikXQUhWGDcFDXUD916/nM+uINVsx9lSEj/gTA4KHDCfraGkTApolj2fhXCDtn/c3Eq7OFTvR7uQlRb5zZnSFqYeBic87ZZ/LZZ59SX7ee9h0606XXEJ557gXuueceAP5y2VUccMhkLFNkch82Hl/OvgT8MP97Dt5nRzzPw+cPYFk2hxx1KuN2OZA1K3/k4CHbaXWwFGxTZXTDbavNo2MIqFd9qG8ppXt4NkVWLWutYaxZl8rct3QjlUTCxbZNTdZZxo9pGqk2pzreLTN5Cno9yzII2RGKA6tZnBiL8tq8HlokReFKgfC02I0SCitTtqaQysQQ4EgyrVhdYRIyYhTZimjSh5EKe7TGdQZ6Q5NHabFJQUjx4/ogxWGJYYDjhjj1iqe587KD8oT9GyBP1r8N8mSdhbRF/bcbb2DXnbaiVQRJKp/O/FYCV+rDFfPszHccL5Xtq9pUnIRIWzr6hjT903f49P1XufC6h1DCytzUs+t8TVMxa/r73H7tWWy/80Fsv8fxdO27LY6nMFvfI+Aup8XopoVRvnqBbz56ipMuvIcOHdoDCtsOsPKHmSyY9TEALU0bOHfyCLr26MvtD71IRXk5hvAQuDSsW0pzQy0dOnSgNKWjrIS+IQKsWLmafffZC9eTHHfBvfQetiumAQFbEksaROMGzS261WVrzCMZ9zIkLWXK4jIEvoCF9HT/aakUvrCtu2UV2riOwu83iMc9/H4T29ax9cp2BlLC0sVzueL4oajUdl97+m7aVXXBME0GDtsmY9VJhFYjszytHZ06ptZGrvCNkZYZzZDyRo080kSdViSDrJKqzRD1JtsXBp7Q14uHxdI1zbz68gvsvOdhjN5uHFtvvzctXjECyWO3n8ELj9/FJ599wU03XEu3nn3Ycefd6d1/C1oaa2jYsB7bthgwaCj9+g8kEAhm9pn0JK7rZq7BwVuO4f47rmHe97oqYOWyRSQ9kZnYmAap7Oz0cRGZZ6kg7pXzXcMYepfMp6v5MfHgIJoS7XQOQsLDsjQpG0KQTHoYKe+J53mZtqaG0LXSSilMw0BJ8FyXbkVzWZfoRkKG8Fu6Ztu2tOpZ0hEYos16Nox0D2yJJdLHWGVK8GKuzqmwfB62cAjZDjHHIuBTFBeQ6gxmIgREooKSQkVdo0FpkSLgkwjh47SrnuKOSw/ME/Z/Ga6//nouvPBCTj/9dG699VZAK06effbZPPXUUyQSCXbaaSfuvvtuqqqq/r2D/RnIk3UKaaK+/ubb2WnHsUQoSLm4DTyps7yBVM2nblDgeCaOl3KHijZ9MoGe4cuUIMRbrzxOjz6D2X7ngwEyak1aSlGvX1+3nqsvOJbBw8dy6mVTSXi2bkEooNm/BcXx6Ti+MuKikA7dBwOwZsU8raGMoGe/YXz89lNUd+pJQUERPyz4liNP/gsHHX48hWE/pnDBbWXdqkWgPHr17EnA70OktKszvw+Dhx6eilKKh16ahRnuxIZm3b9Y2YKkK2hu0XHJ1phHrNXB81SW21sfA8vS27MtgSclpmFgmILSUh9+n05aao2rzOTGdRW+VGJSwKeY+9VLGaIGmD/7M+Azdtn7KNq1KyHuaglLnyHxmS624RGycrO+szPxN04uS5+n7M9yltFWi62EyEksy45Rb+z6VgikMDNNO+rqI9z/wAPMmqXJ87CTrqGqugqpBEHDw5WCg4+7Ap/PzwtP3E0wVEB1x+5MuesWEvEYAMFgGNd1cJwklmXRu08/Bg4exsAhW/Kn8Tvz2ZzVPHTv33jw7ptx0QI1nbv2Zsc9j+KZ+y9jizG70rPflpiGjjdbhkIqgZUV05cSlA3SE7QomwUNg6kMrqZ/6Sxq4t35sb4rSupcBNsycVwPM9Ur0xACyzZSoim6aYgmdZVZr2vBjxjCY1W0J6alteZNU2TOv2WqzP8mKQWmUtimREiBS+o/BwhpguERtBKkKyyUEPhNh/KwoiXpxxAmSVdQUggtMd2ZrTkqiEQliaSgskxQWZSkOe7j3Guf4OaLDskT9q+If2fM+uuvv2bKlCkMGTIkZ/mZZ57J66+/zrPPPktxcTGnnHIK++yzD5999tkvGufviTxZ0+b6vvamO9lzx22JUKRb9qVKsRKejZsiM0vIVAcsE09qlSVtzYmMClMaMvV5YXE5UkrdzEBIDEO7cE3hYQpFfcMGzjx2Ekopzr1mqnYNo1JdjgSuUUlC9qDU+Yb3ZzbyyK3HUdquiu3GT8IyNGlM3P0gVi79notvfJzSsjJMw6S0pJCg5WAZDsmWOtav/pHCohI6dqjCRrbJTKWgEDQ0tfDi88+wx8EnI0KdaE0IwgEdq2yKGjSlXN/RqEtLJKljmSmiNjEQpsDnM3XvaUuX8ARM7foOh3Vf4uJCXQ8bCggCfjOVkKQFNJKOtrImHnAR7Tv35MEbT6A1qtXVTrngVvY46ATtPjcklqEIWC4+w8U2nRyPhSRdj7ypq3zjumnIrX/OWb4ZRbLNfS99/AA8w8JRPqZ/OZ3zzjqFltZWevQbwX5HXUBFVTXxVEMWA30dhAuLOPr0a9n3sJOJx2N07NyDSDTGhro6iksrCQTDxOIOq5fO5od537B43tfMmDGTF559AvvKi9hzv0M47byr+fabr/jm4+cBeOrhWwDo1H0g7ar7kXAEPku7qA2RKpNCpIhShxx05zAoLLSoq4uzMlFN1Cumd8EsCioamLdhIHHHxnE9bEvXwPv9+hbiOvrY+AImlm20eVSkothaT/vQCr5vHI1hWhiGFlDJeEekLt8yDCDlmdGeLAMllBZLMSSoVEa9UBl3uN/QJVxBM44QfqL4UAoKAx4bWiwSSYgnFFXtdFzc9RStCcGCVT46VUiSMsiFNzzGdRcclifsXwn/Ljd4S0sLhx56KPfffz9XX311ZnlTUxMPPvggTzzxBDvsoDsVPvzww/Tv358vv/ySrbfe+heN9ffC/zxZZ1vUu+60A00yTMp2whCShJdqdSkN/KaXIWqpyMSe01ZBdsJNWgCiYcM6liyag5LaUsvOVDaFomFDDaf/eX/q62u5+cF3KCvvQMLVlo5ppG+i0OrrQ2zlN1SKpQwZsT2nXnQ71ZWlmTKdbbffka3/tHOq8YYmM5/hYgqHSO0KGjesoapDV8pLCzClmyEZKcwMyWxobOH4Y48AIdhu91MwBBSHPBpaLC0hGlHEYro0KxJJ4iTc1G8Fn6kt51DIxuczCAbNjIQlQCioa8ULQgKfJRGtSyit6ETC8xFPGkRaQXiN/DjjLT7/6E3mTn+TpoZaOnTuyX5HnMFOux9EVafuOtZqam1vgKCVwBZ6HAKV6ZSV7eXIfk4jm7hBR+szn21UV71xtvfmkI5NS6FDJj+uqOPPRx9KrwGjuOX6hwmUdNXuXk+3ifRbudnjQkBpRYeM1yUYDFPRoSjVyAWEFaC6xyg69x7JDntpl3dDQz0fvDKFZx68htWrVnL1Hc/y9itPMeWWi3Edh8NPv4P+W+2G6dMSsFIKfLZKlQfqfXpSP0xDJ0UaBvh8BiWlfloiDk3RMPPkGLqF57Jl5XQWR4ZRF9HWu89nEo85Wt/dZ2JZBrFWh3DYxpV6YlAcaKZv4RyWRQfhiEJsn5aLNQ0tumJZ6U5eqS5o6FiShMw5lApIyZJ6QMK1MA1JwHRxlan7kaOJ22cF8HsG0aRJQUAipYlpCFpaoSisaGoRrF3vUl5qEUsaFAQ8PIJcfOOjXHve4XnC/oOhubk5573f78fv92923ZNPPpnddtuNCRMm5JD1jBkzcByHCRPa9Bn69etHly5d+OKLL/Jk/Z+ANFFfeeO97LbzdjR7hdolmJI5jHtat9oQkoCpSHpmJitVSpHJQN74Bi6VwPUE77/+GFNuPhvTNDn/qnsImG5G6tIAvv36Ey45+894UnLDlLdo32Ugnkp3KQLQN9ZEPMb91x3Bd1+9zt1THuL8MbsQbFeGkbLMtbtWYqdmo4bQfYGFirNh5UKcZJyuPfoRDlg5MpjpBCiApuYIRxx+GDVrVnPV3dNo374aIRQbIto6icbaiLqlJYnr6qQxI2VJKwm2zyAUsigq1DfkpKNoiUqKiwxtRRtNvPzYzXz85iPUrFlBMBgmGA6nyrw8oi3NeJ5Hzz4D2X2fwxkzbncGDt0K09DxVFNod3fQiuMpA59wNjmn2bKu2XKjhpCbEHfuefNSx85DCFNb1GpTizq7QUf6OIKOUbuGjVKChApw683nEioo4ewbXsFXVEDS1Q0vXE+QbTTkJKYpQSLr+konhiVT3xECogmtDOZJCITLGb//JXTqtRXXn7Uzt1xxMh++8wquq4+LYYcpLe9IVo8UEo7An2qCku6QlY42SNX22u8zkCGLREKXzy0Vw6j0LaV/8dcsN/uxtqUjwZBNIJBOFBS4rsLvNxFCEApZ+M0ovQIzqPX6Erc6E7TBNEVGfxzaiDq9/5xjo8icKZnyXhno5E1dk03OeTSQ+E0H5dNKgJGYSUFQUhTSbn8ANygIBiwcFxojAqVM2hfHSXgBLsoT9q+CX9MN3rlz55zll112GZdffvkm6z/11FPMnDmTr7/+epPPampq8Pl8m/Q5r6qqoqam5heN8/fE/yxZt2V938O+u2xDg1tM3PPhN3UTC1daSGVgGx6triZtL9VQQaYyv32GTN1g0uUnetuO6/HQrRfywmO3MWH3gzn46LPp3r0bhpC0NNUze8anPPv4/Uz/4mOGjdiWS278O8XtOuKm070hlRELpiH56/m7sHTBN5x79SNUDdgJZ91XJNfPZPaSdQQDPkZtPYa02hOAaXh4iWbqVi7AFwjQrWdffGaqTWdWc4k0JAbXXXs1a1Yu54YHP6JH74E4HjS1msQT0BSRJBKSpCMzMepQyMY0Dfx+I+U+Ffj9mpQzcUhLUFlu4rMUS2c8wj03X0RTwwZ22etgRm8zjjWrlhNPxDEME4RBcUkZW40ZT3UH/QcVaLlQTwksIQmYCcxUS0t7M60sNybhTEJYxopOWbPZWeSZcqyUNImSGErkWNIbW9VaRtTIxKe1RW1kiPrrGTN5943nOemSBygtDuMp8Fm5E7qkZ2R6NoPupJXuBR13jJRnR0/WpARXiYx17Lht7ShtC6o7DwRgxpcfU1bRgT2OupFF331CSVU/oq06F8BNZV9bpvba+Ozs67WNpNMwBNip2upEQq/bJHqRSJTQJTyTQl8Ta5IDMS0bITQJu67KELGfZjpbXxKhC1GrFyE71SzE0Fa1ZYlUP3FS8qairRmKyCXtzHWq9ETYMnTuiCdNSGuHGx5KCQqsGI3xIAHLI2bqZEidUKb3FUtoCzueaHPD17b4KQq6FAYMLrnxEa46d3KesH8J0kX6v3QbwMqVKykqKsos3pxVvXLlSk4//XSmTZv2Xy108z9J1mmL+tqb7mTPnbelwStFKkPHPoWLo/RhMVLxadD9ddM3N1camVpeY6NWjPFYlBsumsz0j9/glAv+Su9+Qzhu/1EIw6CsXQXra9YA0H/wlvzlxocYO3E/lOFLldOk9MGVyOgzS89j8dwvOOT4S9lm/B40bVjD26+9x+DelTQ3NHD7I4/z0jvTNWGlktYSkVpqV/9AabtKKiqrdYwSZ5OYa1pV69uZs3j+uWc5/8q76N5rIAHLJeb4aWmFSFTS3OxoRSpH10T7/fom7vMZhIIGgVSjkKAfQgFtecYSHuuWfs2MmR8z45OXmPPtdMZO2I0zzr+GDp26bXJO0m5PCZhCt6+0hZuaMDkZLeyfJOSs5WnyNpA5iWKZ+PNGfZyBjMdBN+EAUzpZ5KwySWZKZEW9U920pDBwlU2TU8S8tUGuvOxSuvbegq12OIpITJOFaaocElJKC4EIQcrVnapJluluU9Dq6DKmisIk07+eyR2XH064qB2WL4TfH8T2BQmGQvw4fzpl5dUUl1USLu3KkDH7M3Sb/XWdtIRYoq2Mykv1/073mc5c01kyokq26YOnCTsW01n7ZriSVd5Yquzp9LanU6O2QlgBnSSYikP7qac9XxExetJi9CZdO6Hj1GmybstM14/cUry260I3+MjuhiaV/g/ahqcTI1NtaLXMr0GxP05jPIhtKmJKl6u5qV7Z4aCiojCJadjEkwauJ7AtLVvqeAGCtsdfbnqEq8/LE/YfAUVFRTlkvTnMmDGD9evXs+WWW2aWeZ7Hxx9/zJ133snbb79NMpmksbExx7pet25dRtvgPwH/c2SdtqhvvPlWdtppAk0ypNtTSosiO0pS2pkbfjpDWtdR65uFz/RSLlmVudmmkUy0cuUZ+zD/u6+55o7n6DtwGCcc9Cf6DxnJ+F33p3btSnr2HUS/QcNp37m31hdXApROsHGlocVSFKnMXXjnhbvxXIdopInbrjyB9157HMvn5ynpctFFF3HbbbfjOTFsnx8Dj6a61TTUraFDx64UFxdrt67aNDkq3WRCKcFLL79MdfuObLuLboNY2+Jn5TpBPK77UQtDoDxFSakv5erUyWMl4TjvvzKF9168nZbmBlCKRLwVqSS27ScRbyUYCjFki5Hcet8zjPnTxJSl62UytdMu6rQWtCU8fCKJp0ws4ebUGqfJV79vEyXRz2014gJySq7Svz+tOJbzvZRb20uRtSUdzNQxyz1ebUSdtqbTpA1g4lJkR/jixRtZ/sNsrnvgMyxLW8HaBa736UqBZaSqBRQ5E0DQ591xRcZFXRj08Fke7788hXWrf4TVupnL8NETsEjSvGE9nTt34vQLb+LC0yfTWLea+vWraFfVCdsWKaEaMhPKRFLh9wkSybZ8AsMgo/0NpJIFU0mT6MQsvx9icQ/LEoSCQdY621LJLLoYn1BvjcQzS7AkhLyVlHiziVgDidvdCZjgumS6e6UJWgiVQ9L6s43zCtpem4Yi6Rmp0IBEGApXGRjSxJ+S/E2rxAWtBI7PJOYECfgkLXF9bAsCipBfEYnrBiC26RF3jEy8Pu4Y2Ka+dvMW9v8fQvwKCWY/wzIfP3483333Xc6yo446in79+nH++efTuXNnbNvmvffeY9999wVg4cKFrFixgtGjR/+icf6e+J8i61dffZUDDjiA666/id12Gk+dW4wrDXymi990NFGnOmO5WUTtSgPb9AhZSRrjwYwFkHAN/JbO7vbcJNeeexDz5nzFjfe+RGVVB049fAKe53Lx9VNp37FTTlctL+tGnbam0jdoM1VXagj4+M1HAXjhkZspK2/PgcddQUlpO+68+jikrx1FpeXULJ1NZcceRJvqiLW20K17b0JBPyJFOmmrEdpIKl1aJD2Xt996g7G7HIKrtCrZ2joyGt/abSmoaGfT1OxRVGhiWSBa53PBYTtSv6GG8bseQrde/QBBMJhyUzktbDFiFP0GbJGxxE30TVXXRnsZ92W6Y5mFi4nuVman1oW20qmc91mxaZUJHXibEHT27zZyrGWZYzmnzUpDepvcaFQ6zJGyprNfKyGQysTDZO3atTx4z43sf+S5dO49Uv/WVLQh4bT1fM6OzSoECSeVpyCULtdLwW/rGPfyuhAHn3ovg7bahU/eepjZX00jGY9wy9RXsO0AixfOp6WlmUOOOp37b7uU608ZxFHnP83ArXbOxJIzXgsDko4um0rfDz2Z24sa2ghbpkIausxKkUhILMukIGSxIb4lZcYPlDufEjWGYap6At4qWoJbIX1VhAxNsq4lMAydQGZbunQs7WVIK9ClPUsZL0jGRS5w0fF+x02FO3QhP5aUCFPhKhMT3SbWEBJD6XrsooBD3DVJuiaRqEBKk8Kgh0IQsDwSrkFJSDecqY9aFAUlQdvV/1MzwGV//TtXnpmvw/65+L1LtwoLCxk0aFDOsnA4TLt27TLLjznmGM466yzKysooKiri1FNPZfTo0f8xyWXwP0TWaaK+8JIr2Gu3Halz2yFIiSwIiYnMZIGnLem0YpmVkrBsjAdztum3pE6OUZLrLprMrOkfcO2dz1JUVMwph08gECrgjkfep6p9Z1zZZp1nJz6ls8q1klP21rUVdsVd79Da0kiooAQrUEy8NcI5hw5g+wm7MWnv/bGER5PfR82KRViWTbeeffDbZsay3Fwylcr6nV98+TUb6moZu+P+uFLQGBFaaczW7ni/YeCzBY1NLpXlNgUhcFpWcvEZuxEqKOTmh95lcO+KjGXsSisTVzaEzCSBmcLDVVoQJkPOwsFSDhITSya1hYuBm0zgKYUvEEoPWD+lJT5TRCw36gndRtS5JC2UxFDeJutlr7u5WL7Kmt3nEHXWOvoYS8DkrTdfxxAGex52LmG/xJW5sejMtpQmzmyL1/XAZ7WF+wy0hR2X2ntT1c4iPP4Axu68Pz/M/Zy/nDiBm688h7Mun8LJR+yiPRtZqF2zGNhZnwdDC5CkJyHp/K5s54FusZn6TaJtbF4q1p1WIVMpXXDTFBQWGESdPmDaFCZmoESAlsI/IewwfkPrtHtSELSk1m+nTcddbFRWh9Apfm3u7lzXt+vpa9ZKlz0a6aQ0I9OsJX2+HWVhGx5hO4ErA/htAxkUJBxojetrprIUQj6deedKg/JCB1caNLT6KQ4k8VsuUvk5//onuP68PGH/p+Nvf/sbhmGw77775oii/Cfhf4KsX331VQ484ADOOec8Jh+wB3VeBQpNxH7T0b2n0XrEbioT3BCSpNR/+phnk/DMzE3MMFSWNaf44M0n+Xjai1x96+MEA35OO3Jn2nfsyk33vkBZeRVS6YKibH1jT4lMD+v0TdMwVKZGON18IFxYQqCgNBNPfOa+C4m3tnD+pddiCQ8n0UrThnWECgrxHIdVy5fQqXMngn6t8JS2qtNklHbhgraobr31Vrr36k/3/iOJJVNWnylIxiVFBSbxhK6rLiiwCPi1WMm91x6Hz2dz59TX6dG1HJ9IarJWgoCV0HFm4WgLRrViewkc05+xZiVmTlZ6mkhr1q3nuJNPY9Yc7dI6+ID9uf7qK1DCIBaLEQwGEUoSi8X4YelyevXsQSAQyMnI3lxjjbZjsLFru43UswlYv988UacnCG1SoiLTYOPtt95g+JiJFBYVkXR1LF1Lh2p3b5qkDZFKwkOx4sd5LPjuK4aM3IWS8vZ62ykvS5o8LVMRdwzCfkncEfQeNJoTL7yL2644lgFDRhIIhGhpbmDkuAPp2ntLmhob2XrHYzKKYukJQNqaTVv26V+fvtaEAFOQiVdnwxC6SYdApJLJIORX+NVSwsl5JK2O2G4doeQPyOAgLFNkyFpvu81izq19b9uHJbTqWfr6181Zcr+TLks0DEUw1QLVEl5mAipQBI04jU4hUun4tSn82KZFS9wgltA7bG41iMZ9BP0SxxW0K5CpPAJBXdRPcdCl0BdHhUJcftO9XH7u8XnC/hfxR5Ab/fDDD3PeBwIB7rrrLu66665ftN1/J/7ryfqTTz7hwAMP4PQzzuCQA/dlvdceQ0g8JQiYyRwrF9DiCihcZWEJD4kg5tkZ/W8jM6MX2KYk2bqBe2++gK2325EFc2fw9N/vZNCwkVx3x1MUFBYjhO6NlEx1FRJCZZTP0olEafdf+oZkoJCpu5grRcYyW7XoU956/j7OvfgaOravIh5tombFIkrblVNZWQ3Ko652HT/+8AOV5e2oKi/LuRm2WaYST9i8+NKLzJr5NTc/8BauZ1DbaJBI6hKtdFyzIGywfuX3fPnpM8z4+BnWLF/AtuN248prb6C0XUWGqIHM8/+xd9ZhklTX+//cW1Vt47Oz7ost7gSHwGKLu+sCQYMF9wDBIcji7g75Agke3BJ8kYVl3WdlfLq7qu79/XHLuqdnIQkkJL89z9NPz7RU3ZK+7z3nvOc9aZEHwFbFCChTXncUNk4uHELwa16wgJ323I98vptLL7mEGTOmcdMtt9Gvbx/eee9D/v7xx+yxx+7k0mme+b9naWtvB+CSC8/jgH33CYDa71UKtBKprBSgk8BdCtTlf8eLA4GvbTSCOXPm8tnHf+O0i+80+wu8SF+Z5yTb2nRiU9x3w2n8+bEbUL6PEIKV1x7DUec8QE19v8RnzbOvBF1FEXi8gk3HHsrXn3/IVRedRCZr6p4//Ouj7DnufNL1o6PvhYBt2yADN16ooDQwyCQIWeplm++ZZxlMmr6vsYQBaq00lt9BVefnSNWJW78entUX1+8m1/EBVssHyKa1sISNZfXMQ4e/o8iTD2rLe9NwlwTduDBetRQq+i1JoaLuY2HkxBI+9U47ra5RIaxOFZBSk7YtutOmf3jelRRcQfNiSWeXIl9MUV/lM7C2m7xnB96/0UUopIZxxrl/4NKLzmbs2LG8/vrr/9Os43/Vlnbd+nnsf/qMTJ8+nV132YXDDj+SnXbckU5naPQDT1sujvSiVXlY/wxExLKwX3Bcy2xW9Y70ydguWcfj9mvPYdHC+bz/1ks8dv9NHHjEyVx169PU1taU1PaG/ZU9JYOQOFEdbRgWTFrYbMF8V+OIIjdfeiyjV16D/Q44iM7WBcyZPpF+A4fQv/9ApNBIKRnQvz/LjhhOW3sH30yaQmt7B8me0gIdgdStN49nkzG7seKaW+AHYfiUExCONNTVSF559AJ+/5tVePXp61hzzTW54Y5HuOnW2+nX1EhGFqJjNM0fPRxMODsE6oi1nQhhJ/8P/y66PplMhpaWFh5+9FH23WcffvWrX3Hd+FsQqSqOPf4k/vyXF/jziy+x//778/BDDwFw970PRN6zpVyzz2Q+Gl0RqJdkP/T5yKsOFni+tvjLCy/iOCnW32xHUpbCsQ3A2JbGsXRAqjIPTwk+ff9Fnnv4jxx01Lk8+PIMjjvnFib8/WUeuOFEwHjTpt2nDtjbMeBrbXLgB53wRw449nLW23wPll3J5Mi/+vTdgKwVNsgQEYEq5Qgc20i9SmmeLYvoUT4/hnntMGdtWQJbejTJr2hy38CXteTrN8fJ9SGXVqQzGQp1G4MQ6Ob38bxCfE7D7UTnRJGyfPOw/YA34pO1XXJ2kazt4kjf/N4sI/CTsTxqnC5qnC6q7C5yVrcRQqlQby+FoiHVRtYuUGXnqU93YUlNTdqlJuPRVF1kSGOBZQYWGdTPlMV1FiSLujJ0FW0kmoLvmNx3ukDdgNGcdNKJtHUWOeqoo0p+U0ut1ISMvet//vGfPopfnv3PetZdXV1sP3Y7Nt50c3YYuy1On+UBsKUXeVzJPK7pNSyCQpEYOVvyVVEYzrHDXKwBM4HGdc1EseV2u3PMyRcyYPCw4Jsxo1zpQDNaxQ+/rMeyDsi3yXIaCNizUvOXR69nyncTeOjJF+lYPI9FzbMYPHQUNTU1ENYSB2SyqlyG5UcNZ9HixUybPZdcJsOgfk1kc7lgZIYsNHPmDLbe+TBDqkFQVx0etySdErQvnMrzD13Kfoccw8m/O51M2gny0X5UShW2l0w2vSitUQ7BWfQAwSRgP/nUk+S7uwD4/PPP+X5OJ5fd+CjNi1oZMXwYaVnk8N8cTdrSpFI2i1s6ANhz9117CJUkbUmh7yW9HpVrJbzzknaXQqB1KCqjePZPT7DmBluRztVT9ONa82S6JHQlhdB8/embNPYdyH5HnI6UsPrahpVaU98nit6AAdAkETHM1QoB0s4wdu8TcSwd1MQn0jMyvJIx29uyEozv4D6zLfN5I4gSLixjwRTLCu8JRY2eTh85EU9Usyi1KemqmmAhoKKFSbe2cOvWw27/DDn/Xfy+62E5VVjS6IE7lm8EhQIlP0f60TkOSyUlIITCTkRsDBHR3HdSqKAyQAcVBG5JftssHSUSRZXVhasdUsIlY7tm0SITVQZaUOUUae7MUvRMyiLMWXcWjb6CI3184VA9aE1OPeVETj31NK6//npOOOGEivfSUltqP4f9T4K11ppDDzqQVDrDoQcfSK7PckghEMLHQuEjscp6GIfkMlfbpIJ8a7efifLTYdhOaeh2bRxLYUuP0y66hTMvvrlUaCOYRDwVe2BaG1GVUKEsmgKVCHJzugSowzIXx/KZNWUC9970e/bc7zAG9q1l8YI5DBmxfNB/WiGFj9SqNF8rJE0N9dTX1jCveRHfTp1BbU01A/s14WRslFL06zeQ2687l68n/J3jTr+Cfv2H0tqdojonaVs0k9su2pPa+kZ+e+Ip5DIWFm50fOFzKUjH4WdLe2VErgSICwFaISHqTDV6pVWi0PZ+Bx3OmmuvgxTQr74JRR6NIJWuQgiFrxV1dXXssMMO3HXf/Rx6wD7kMoaFXr4Ii/dfGaQrfU7oMP+tS0LiYblbuf3tgw/4esJnXDL+IgqejMqRwgWZVuE1j69xJpOhq6OV/KLv6TNgGPffdAF9+g9jn6OuCEhYAcATy9qKoBtV8h4JVc3A1DGHxHYn+GWHoG1KwkpD3r5fujg0Ie+yBZXS5JhFI9+ghWSxXBXXHoSUgpQGxzbCQClpmtLIlCmx0nWrQ8dE1Px3kX3XQWTrcCzfKIxJEZA2DQCHJXqetknLYnQdtRYRWdESPhZ+ALyF4HqEzMMyAqXQ0WGEr7vKpiHdQcFPGdEgZUiYvjYtbxtyBdryKWxpol8pLSLRmrCmm6oG+g4axbkXXcWZJ/+GVVZZhS233PJH3Vf/P9kvIWf9v2j/k8GGq6++mrfeeYeLL74YJ1NNfX11MCmYHLQjvKCJhh8AdXwasjIfhXYLvqm5DnOxodlS4SlJwbNL825hWZQ2XayKvk3Bs/GUxFVWxAgPwTnMxSXFIGQQ9rSEJm17PDD+TI7aez0GDBzMoQcfQGfbIoaNWoFsrioGywRIlrObbcti8IC+rLjcKBxLMvH7qUyfMYNiscifX3qV8y+6gvdef56Xn3+CRZ0pCq5gxsS3uODIdWhZOJubbruHhmobGw+Jj8Q3+wwWCUnWeTiGklKxcBFRItmZOF7tI7XPZpttyjZjdwRg0qTv8LGjawRmoVPQKTxt42mbv3/0dz766CPy+TxdXV0l+e/y/fxYoC43XZ6bCLdbBmj33HUryyw3ms0335SGXBHHUlFv89Djc32Bp8wDYOyeR1PId/PCs4/y3Zcf8cZLT7HboRfipLJRCsRP8BUyKU1VOugVnvC8Pd/cUylbk3ZMDXMuY8A6kzLebso24fSUo6M6Z8c2KY9Q2jbWBhdBsw9FDdMZzOv04Wva5PIsSP2agj0Y2xFk03GOOZQLNYQ6bdIADmSblkPWLoc3/0PIz8cWQTjbLpK18mRkgZQs4ggjepMWheiREXmyspu0yJMWeRxRRAqfjOgOVOZ6RlMiuRqtsfCClrCalChiB2CftfJR6ivUV+j2HRzp05jNk0uZBakjzVwRLpS0FhQ9i2zjKEYOqueEMy9lr733ZsqUKf/UvfU/bVL+NI+lVmL/c2fkxRdf5Pzzz+OWG65DKU1Tv/5mEgoAOBT9D0EgNFv4ZGU++r/VrY5aWMognOkHpVy+NnXXjqWiEB3E3oAfdgzSxjsKm3roxA/fMINF0Ls3AO3AexdBacqM7z/joTuv5qBxx3LTLbeg/CKDR66Ek84GeeIgLBjkhpcESmnbYujA/qyw7Cgsy2LK5Ek0z57GdtvvQFV1NQIfIeCjl2/m98dtyYgRI3j8medZe7XlsISZ+CDJ6o3LoErKoyJwjscT5auTLGBKFxjTvv+O/3v6CQAaanIsmPJxlP92hIuNy6xp3/Pggw9ywrFHcOB+ezN44ABe+NOTNPZpivdL7OX/GEsusn7058PjQzHpu295/bWXOeDQo8wcIxRpyydlqaAVpfleWFscDuu15+5HSsnmY8Zyx01XMHjEimy09YEJkI6bbGhthFUcW0eypeWCIWBqmLPpICdsGy/cthLznwiazghKQFvKWLTEFi7V/ncM8l+hVn1HhzWK+aktKTjDsR1JykkojgWzR7KawZE+acenJl2kJpVn4IAmcv1WpGvep3idc7CFjyM87GDBHKZRrGAxGEWKgkdI9ApNC2GkXSldSCWV5QwvI0w/mN+GI1184sWcFIouL2UWGIEoj2mzWqR/rpWisim4Fu15BylMlUjK9rEyDTjZWjbfbDO23HY3dtllFzo6On70/bPUlto/a/9TYfBJkyax1157ctkF5zB41GjmzZtDrqZPSdgWYuAOX7MwK23DAPdM+DsoRbKEj68tUpaRvtRCY1t+9L7WIur0BAawfWUyalJqfCUDoDZjDFmvZmLUPfLnoRgKwKKFzWQyGXbZYVu07zNoxEo4dqjSpX8QqJP5VjCgmU5ZDBk0kH79+7Nw4WLmz/yeP1xyMR/87RPu+MNBvPh/D7LXPgdw3nnnkUlbJaHgHwTqJBiXsbFLx0TZ52D0sqN4/eUXeejRx3j08SfYepttWHudddliiy2ZNvk73n3/fWbOnIVlWay1+mqcfepJHHrg/ji2heUXIgCNBEwS4iWVzsuSrLyMqzfr6OjgpBOOZeiwEWy74+6R/KWvzP1gS41wjNKd58clTK0LZ/LYXX9gt70Ppq5pGO+/9Qr7H3cVQlpx2iVRYhUSs4pe0FEseFPpnsdWlTbNXTqLVsQcD8PpSHMfhuDuKxET39wWarxppL0ZeKKONns1ivYAkxMuUx+DBOiXkSMtqbCAKqdARhot91SfGrrTyzJv5jc4DKehsU/sBRPWqQeETh1Hn8pNaSv6LKLytYV40ayI6/ANAdKnqB0T0RKKGqebxYUq0pZR1CP4PSY96lzKD6pHjLhK2vZIN4ygY+4ETjz9Yk44YjcOPfRQHnvssX9Idet/2Uy54L8YBl96LnuY0P8jtMb29nbWWWcdNt94A8446xwmT59NOp2msd/QGFxKcq06miosfHwsXO3gaQvXd6LtGvEKc+MUlR1pgictGSZ3lRWQZDQF30p40+b9cOINt+EnJtwwzxl62y89fSeN6Q5WXWMdBgxfmZQd5+4kPrYuVeRKHmO5VaoV9rHwFbzx5pu4hS76NvWho7OLdddey+TDl/CDiRY+CU3tcBwyAO/kvpPf0QiU7Jn7Ddt1FopFXnrpJR574ine+9vfWXbUKDZYdy022XAD1v/VutRUV0dkOql8RGJfSeTQmFKxHwO+nq/5aNIM1l52KJYlK35HBVrgGoGLxdHHHsc7777L/Y/9mVHLrYirHAq+E4ncGFU6GWlZKyXwPY9zjxlD8+zveehPb/LxpxM47ahdufbRbxkwZNkoBG484TCtIqIWkhEfIjjkpOCKIYxpskHjiqInKXoGrJMlYFIEQi3KRRZm4+SnIf12Cs4Quu3heFZDAOqx9K1jx+QzMP+nLOP12kFUyJEm2lTtdEW5aCAiI3Z2djBr2vf06T+Ipj5NPYC6nCMQH5eB23I+QlJiNnnNzbOIiYHBb9zDNuFs7dDtpSkqmxqnm7yfinoA2EGliKdNqeWCrirqM90mJSY0nQWHXKpI29Q3qRmwMt0Fn8P33oxjj/4NZ5999g/eZ//L1tbWRl1dHZNPO4CadOpf2lZ7ocioKx6gtbX1B7XB/3+x/wnPWinFXnvsRt++/Tnt1FPJ+zad7S307Tc6AtJkuDMCGvx4Ba+hqFMlrFJhmEYRWSys8VRaRp51yTgCdrDEkFSkIJIVDeegJFCHk4kMyERhrbVEg3IZNTBDa0s3A0esgiUFEi86DoueHvUPeYzl+thSCKSEX2++OVL45PN5Fi9cyLTp05FS0lBfR31dXcWa0vJ65mjbFbz8pIcdkt8qhaktbSZ3y5HsOnYbdttuq6CRgyoBfOEHZWHK73ncJX8KtLTQvYBA+fEkvhUtAJJMcIEGrejsLnDBpVfyyiuvcOMtd7HC8svh64BQhhHyQGhswAs05JEK29bcd8cFfP3Zu9x5/9P0aTSKdADVNXUGnINhKi0irzgGbSNaIoURW3EsZTp0BaHz8BALnoyiM0n2OIAtfZM/zs9CFuairGq8zHAKzlAQDigzKVgyBn8j6mK+LwOSW5S+QUdM7/BaWEJFfJBk5Ki6qoqhI5ZlxtRJCOXTt29TSZQm+RxFc3S8qA6vR7zQNoNS2D0W4NEj/P1iuujZImjWIx0cWcCR5p7TOiYoFpWNqwzxrCpVRCNIWZ7hqEiNp2xS1f3wO2dT1bQaV914H0fsvwOrrbYaO+644xLvs6W21P5Z+58A6wsvvJCvvvmO/3vyUXynhs6WRaRSabKZND4kyot0tBq38JDaxxc2nnbMD1IWKXpVJSE4Wyjz7cCjUFrGU0FZm8Zwsg4Ja1JohNSR9xx6RqGFIUNd5l1rVaBz9se0tbVz1933sdWO+xtgFSoA6Tg//M9YOKlFXjE+GkkunSI3aCADB/SnvaODlpYWvvt+Mul0ivraWmprqsmk0ybMVQbUQBSKDs/HkhYPUvuRt19JSSxaUERh9sALC1Y+QvlI5ZVutMyLFmhQPgI/fr0X0Jbh/pQfAY8p3QrGFDDB3/3w75x61nnMb27mgosuY7MttkEhKahUJE9rvFLDd7CDEqWwfO+Zh29hv4PGsd5666DwWXH0aJxUmifuvIDDTrkxAuiQtJX0psGEuTsKBpzqMgUasqY6wVOSjoIVscEVJMDexyk2o7rnIfJzQNrozGDcqk3BqUEpgYOponBsI30agrWU5ta3pPGgw+sahsBtqYK/Q/KbifzYePFng9+EQJPL5RgycnlmTf0W8Onft2/le7Qs/WLuF5nwphMLQCqnW3xtRfsNu3L5mAYxaWkEkUw+20PbhnAWLsqL2g6agrgUfRs/qAixtTnmYmYwnc0fM6c7Q79Bm3LmRTdywAEH8P7777PiiitWPKb/X2wpG/znsf96sH7qqae45uqreebRB6hq6Af4dHV1Ul1dhUBh0xPQHF1AoPGkQ7fKmfyi8PC1hRW23UuaTgBcmKsOJqLws37yNSUir8PVVgljHErLZUKyGRgSku8V6Zr9ESJVRfWgNZj49Re8+PzT7LTzLsE2DGCX2w961RUmtB6fCQDLElBfU01DTRW+79Pa3kFrWzvzmhfgODZ1NdXUV1dRlctGCyGIAS8E4CRgl+ezk55qyTEEpVPxNv04pK41lnJBa2TgVZfkqHXgESdAO9pvOLZeOZXhOE0OXROXbgmtcH3NeZdfwT0PPMw6667HLXc/TP+ho+n07AAYZXQvhEANcYokBF3LsuiTkKtcdtkRnHTmZVxx4UmsuMambDhmL0JZUIGOQtFoA5Al7Vg9h+pUgazjUfAt0r6k4Jn7SflFrOJ87OIcRLEZLVOQGYBuXBecBhACG6Je26HEqA686JIwuEiGwHWi1FCXcDAc6UdkLRE0PY3C3Il7L5fNMmTkCsycMhGUYkD/WLEteY+WeNsivoYhYPe8gqXcD3PLCBCmZ7slfNAE7XDjRjGetun20mTtAnagYW50xSWdbpqU5ZG1vERfe0FVdTWt8xU5u4PmllpW2vggdtnnC3beeWc+/PDDklaM/9+Z+AnY3EtVUXrYfzVYf/HFFxx80IFcc8VljBy9Kn7wAy7ku2hobKxIUrGV6etckDl8baQHU6JYskoPQ90Qe71hSC1UOtOIKOydnEDD3BcYtrfni0jkQoYiGzrcXjzRmdB3nu45H2Olq6jqvzKrDoSa2jrmzZ0Zjw1VMcxc8n+FphTJ9yKgDEwTS4CW58BtKehTV0Ofuhp8De0dnbS2tzNl5hyU1tTkMtRW5airypBx7CjPHe07UWKjE1N2pXGUWwTUQX5aaIVQfsXcZskxB154mF8uSYHongsds68AVLWHUJbxxqVlaq6RXH/L7dz30KOcd9557HXA4bhkcJVFUdkRz8Ccr7ImIokIjASyuRzd3V0lwLL7Pgfz1mt/5i+PXsuGY/aKgDqZOgFzLy5c3MHkL99j2PLr4DT1oa2QJmObvL3tLsbrWIQoNiO8VrRdi84MhJrlEU4NICIADlMzVrCf6HKJmE0dhvQtGcvsWkKXpHXC18I2p0KEhM2ACBkeuzYpJxV4u+lMjhEjl2HalO+RaPr361tyP/TwlAPALk89Jc910pTuyRgPo2KGq2FFpYEpUSRrF2grZMk6RVLSp8rqotPP4SoLpSU5qwMvIA6aRiI+droK4bXSXaxhYZtk13F/4LtvJrDffvvx7LPPYlk9eRlLban9s/ZfC9aLFi1ip7HbcNQhB7DNVmMohIeiTe41k8n0UM9ylGENu1aGsFNSWuQxRVBW1F7PK/OspVBoZUVeUgjyQsSNCsJyLYkGacRONDFQQ8juFSWTeCi8IHWB9tkfY6Wy1A5cESHgucfvpL2tlTXXXCdisIeNI0IrB9ekhYCY/GwSmCuWVPWyENAIbKGpr6mioSYHyqe7UKSts4uW9k5mzl+IY0mqcxlqshmqsxmyaSfwUhMeT+h1l3SuUj3GYsapS4CaxPXszcq3HWqGl1sE4mV16SXnSZnw+XeTv+faW+7k+GOPYb+DDsfTNnkvZYQ10BAs2ELADsOrSbAIAS2bzbF40aLofVv4SEszZtsdueTcE2lvXUR1bSNCmA5TChPp+Oidv/Dsw9fx+d/fxPNcampq2W3vQ9l+l31xbRdVWIwWKUg14edGoVJ9EVY66nIVd9QKcuoY4JNBgxErkMIVQeQofE6CNJTWeEfXypyCaEEbhp7jhVmwWNKmlEprU3mRylQxcuRIJk+ZAkLQv29TfM2IQ+4x3yHO6Rsvu3dyWbKfeehdh9vytYzC9q52cJUJeffJtONpQ3J0tUNaFpnYYqIgqT6mjS5AwTdpM5Gqpb9cYPL9QEtXmtMuuY+TDt6Ys88+m8suu6zCHfr/gf0EYXCWhsF72H8lWHuex1577MaKKyzPcccfj2ulg1C1wi92oZQim3JKfugpvzsIfaeMhyYlto41hSWKgkrjBm0ckx512C0rBGmlIWt7Jj+JQGkdlHnpuJNWsN94EiwNB4vEhKlVkbbZHyOsHOm+q+FrWDRvBtdfcS677bkf66y3PiIilJVOlv9o3roUDJfsoVd6Lx6/oCqToiqTYmCfepTv09FdoKMrz+L2TmbMX4QQgupsmqpMiuqMQy6TJh0wlSoBdtLCHHX56+U57SUeq1a9Br2TiwfznNgHpbnv5gUL8X2fsduZlpNukM8MPWpH+iVRF6VlBNghyIULvY023ZIH77mFddZdn+133j04l5r1N9oMpRSXnrw9m409iDE7H4GVsulqb+Xe60/h209fY/MttuLwww5gQL8mUC4LFiygq3UOVUNXgfqV8UVN0DIyxrToeBOM8FCMR4qATR6Esm1M/tnXoQfd07uXwhDIFCLqEJe8l5WWdKksKeHiiKBKQJSGtM158VFIUpkco0aMYPLUqQgh6NfUp0fUJSKOJdXkhEYGhMTodR3ns8NHMkrmajvu3pWItuT9FG2FNJbI0pRrxw70Cya39cPzBR1d8JVbx8i+XVGIvNNNY6VrUJ1zyWQ08xdBbbWgoW8Nl934EEfuM4Y11liDffbZp5c78H/XhJCIfzGM/a9+/3/R/ivB+vTTT2f21Mk89cTjKNswlQUKW7sUlMkLShl7ao5fQGplQD0wS3loIU05jjZADPSo8UwCWOjdhqHesBxHyoQ3pSW+9pk3ewb9B43AR0b1o2H4PMn8Rrt0zv4EYaWpG7QyljThwikTP6Wzs4MxW28XaSFL4cdeCr1402UeXW8h8d6A+UfLcpZ44xpLSuqqstRVmZ7fSmu680U6urvpzBdY1N5JvujhWJYB7rRDJp2iKmWTcWykFD3D24lj/UfGKIJJG9EzivAPWTCW0SsYXflvv/mGEcuvagR07AJdbia6tiFQG+BWkZcZRlDCxd/xp15IW+tizjztBCZO/Jqjjj+FdKaaIYMGcNkNj/DScw/xwQu3YHVPZZlllkWqDg7fb1usg3YgX3Dp7i7w/ZTpPPLQAzQvXMwtj39s7neN6aKldHA/l5bLQWmbyagCQZrojq8lluUbwR/iMHmyTju8Z8PwOZjnsAuWDMiYvrJQlimHNKDoo4WIUg02Li4m/6uwyGYzjBoxnMlTpyKFoKlPnNOHRGRGl0ZVwohZktQYH6uKwuZhr3WJxtNW9Dv0sZAYMZS6dJ6WfJb2YpbaVBcLCnWkLZ/6KhDCoqnGpavoUJUyue5qJ88imcL3PZpqXHJpm4VtgkWdaeoGrs7JF93L4YcfwAorrMCaa675j997/80WKkn9q9tYaiX2XwfWTz/9NHfffhvPP/4AuZpaXGGaz0ekK+UHE3+p51awcyUTt2GCS4o6jYP5AYY/5NBMmNvUTZu+uSYvV/CdKJcF0LJgLpO++QzLdvju6095+pHbmTNrOhv9egdOuvAOGutrg8+XgaT26Zz7KUJKageuGmlKA6y2xtoANM+fmwDn+LuWcnsH3KT3XBb6TtqSPNslbbfktV7K9C001RmH6owTRQA8DV3dBTrzRbqKLi1dbXQXPJTWZFI2OccmE4B31pFkbIu0RYmOe/m4ext/ErCj/yt8L5zgw9pzJSxklMA1iNVYX8+A/v34ZuJEtsTC0xaeMq0xLWE8R1sYrXiJxsOKcqZJrgOYNMjZF13N6BVX5u2//oXx11zMXvsdhi1cVh5Zw+ijD8PzNV9O+ILvv/mYusa+fPLplzzz9ON0dRqlLGlZrLzaOpxywU1YlhXnlm0fP5DFFDoWTUnOeyHWJQVXQnKYJTQpfDwtA836GLTD5+TCM7wnpCBS8ZMQlzUGxC5JXAYX3guW9PC1mX48HHIZxYjhw5kydRrSkjTW15emMxKAHd8HZcBNkE8v88jdYD/hwskRHm7QAhdMW9x2lcNTgqJv0+VlqE114TsWzV3VVGdMdK02bXq1W8IPBJIstFZUp1xsqSl6KTSCtOWz3ibbs9+4U9htt9344osvqK6u7nHvLbWl9o/YfxVYL168mKOOGMelZ5/CsJGjcIUVeZoaw5JRSiET4hVh6Fsm6mYt5eJLB1enjD4wafyybltgPIRu34kIJQDtxQy+lthSMWniFzzz4HW89NwTuK4BfMdJsc32u7Dakcdz4zV/4LRxW3DN7X+irs/gKGxqJj6f7nmfgfapG7wmth336tXK55JzTyCby7HFllti4UU5uLgVZDmAxZ5pFHIkJgqVfDaaNP1SQK/wvCT7MZKeyW3YAmpzaeqyqSjXqLWm4Gm6ih7dxSJ512dhexd5z6fg+gggbUvStiRlS9JW8LclcSyBI4NnEUc8Sg82GSXpWSK25MEbSp8WgpWWX45vJk5EorCFT7dKxwAMQbhVo7wivu/iegrfK+K5Lr5bwPeCh1tA+S4brrcaa6yyAp98/DekLlBb3wcnPZh0Jo1l2TQNHMmChQs55fgjmDNnNvsc8lv23O9wahuaKHqa6qxl8uZalYCnRJNzXDoKKQqejMA5BGXzdyLXjPHCpQ4OBGGaVoSVbugo/eOHymrETW2Svw0nevai70Zlk2W/U6kVGh8V/O6UsKjOZhgxbChTp89ASpu6utpoO+HCpwenAYIOaIloUoKBHsoKhyFwKXyzKC9b0GbsIrbMRgscW/i0FXNUp1yKnoVSprGHCLQZXN8iZQmKSpGxijR3ZKjO+FHaa0G7w56Hnc7f3n2Vs88+m+uuu+6H77f/EVvaz/rnsf8qsD75xBNZc8Xl2WWH7XGDvGIITqHcpSG7xDnj5Go+/IH6wiZkc1uBqD869giUlnhaUgiA2nhMkPdtugqaz95/jsfuuYrPPno/GtuAgYPp7u5izLY7cfpZ59HS0sJTj93PnFkzOffEA7jxvr+Qsu2giw90z5+A8rrpM3QNpCViz0Qorr/mIl5/9QVuvOUu+jY1AR6h1rZhSJfmcrWQyIAM1bMlZE9AlTquO47ANMwrisTE+gNCIknhinh/lYluJXWzyY5nQpBxBBnbgapA9Sg4VqU1Bden6JlHwfMpeorFXS5FX1H0TUlVuHdHChzL9HG2hWlIYUuBLUBKiRAiiNAZOUQhRTT9q+AYmtu7zWKPkDWt8RHssNNOTJo8lfmzp1LwJZ6vUb6PVj5auSjfRQflZFJaSNvBshwsJ41lp3GqarGdlPk7lSJlS+6/5zZuuP56Dj3i2Mj71cHZ6du3L99PncG0qZM57fxr2XGvI7ClZ0BJWmhtOlgVlR0TGwNTWuJYpg+0UdFLhsDD3HN8fZQyBWtCm3rporaRQgU11JpU0BVLoI06X7AATFvm92IH4OwE4wujXOWpm1AQJ7oPE/dB6IHXVOUYNmQI02bMYIQcRk1NZY80uQgMstMl70e12FpE7TTD8LcjPFMXH/xteCiSplwnrYUs1XY3tvCwpaLbcyj6grStyNl5ZrfXk7JNOZdCorWiyu6iPpuhpTuFtqA27TKsj893c3P89txbOHaf9dhrr73YaKONKh7L/5otrbP+eey/Bqxfeuklnnzicd780yP4drpHhyWpfXzpYDkOnldKPDE561iEI3wvQzcejvGqo5BhmFcDLDfydltbFnPN5efz/FMPlux3hZVWp/+AQWSrapCWzbNPPcJHH7zDtmN35JsvP2fkqGX58vO/cf8tl3Dkb8/BU1Bc9D3FrsVMn9vK4s5PGTZ8OO0dXXzx6Ye8/87r/OmJhzjtzPPYcsstIzEHoU3bSUt50cIjZsmWMprLSVjlwiPJ9+L/S5/Dv3vzQMtDkObzumTf5Z55SU66klcekZDikHE2ZZNLxaS08s9orfE1uApcpfE8H19rPKXxlcbT4AXvaW3ESZTWMRiX7pqF7XlCbWMD7ua5f79+TJw0Ga9YIJOrxxcZhLRB2Ni2wPeK3D7+WrbbfntWW3PtkihN2CvdSmjSu4U8H//tfYYNHxGlPkq+g2TVNTdk3fU3YfzV5/HEg7dx6NGnMmbsbqSsUHVLUGUXaC9moqYwoeUct6SqwVOyhMktE59NXgqFQGojYuIqgRM0JwnbWRrRE4WnLezASw096bA5h8kPB53ZkoI56LjeXSTEStBBcw5zn9bVVDFk8CCmzZjBqBEjyOUMD6J3nkXoMTtIFCrIlYescK1FFPJW2vBUwjy2py0cocnIAt1+hqZsG5bwaXNr6HJTdBRsIwajBXk/hRAE3fNs8ApIO01zvh5fS9K2ouhL2gppHEuRS2t8ZxX2Pvxcxo0bx6efflpRDXCpLbUfY/8VYN3R0cERhx7MeScdw+BBA3AhaIlo8tW2diOQSDkOvm8mbClEDG7B6t4PQuRhvbUv7ZggFK7EhY+QHjIo6RBoXv7z0yVAfcC4E9hpz4MZNXI4YELmvhYst/yK3HTNhbS1LARgyuRJHHToEdxx09X8/f03OfDgQxnQVMdpp5/OrJkzexzrgIGDOOHkUzn0sHFBPtCPPNckUENP7yK0JQHzD4W2yy0MlUM56Pcepuq5/x8Kp5fKoC5xjElFGYxnbguwJWSEBWm7R9ShpCg4KdKeMFfD+1MWMnpQA3ZQHxuGwAFS2mX/W29l1ZVGs+X2e9ARKN2Zcj+X0044kZdeeI5nnnqU+x95kuWWXwkwAKaFKVUKj61Q6GL3nbZh+rRpnHXWWfSmyuVYPtdcfws333gtD913BzddfT5bj90tkBsBJbTRqw+U8HwljcpWQmI3ZRumesr2o6qGkMUdLlDDXHT4nnnNPCst8QARgHJW5M3YkEgUWRQ+VtQMxxKxd11xwZY4xvD/JGs/vA8a62rxPI8p06ax7KiRpNNpfsiS206GzctLwDxtBTyI2NvWCHJWN5bwKeoUtvTIOUWmL0hTW6XIOKXywnnPwioWwcpS9G1yTpGil4m0E7Q2LUo784Ixe/yO9159nIsvvpiLL774B4/jv96Shfv/yjaWWon9VyQGzjrzDIb2b+LQ3bcHSj05Cz/ymoVWSMsIc7iuKctKho3DMLKl3MjLtvBIiUKkZQzGkwjJZkIYLeAd9zqC8fe9wKU3PMzbn8/lhFPPZ9TI4YRlKG2LZvDE/dfzzKN3MXz4CFZbfbVo/DvtvBs33nwHa625OgOa6njo4Uc55LAjufv+R9hww41LjjXlOBxzzHGxMEZY6qJclmT/KAiXfDdxfnpjmAviVEOUVujlkRyPAeLkQqJyyLw3gltvY9IhL+FHkuSiz0sLXaGJSEl0Isr5x9sbMngQK41egVdefjnShjfyr4rbx1/NSy88x5VXXsmwoUM44ZjDUW5X0KfZD/LcHilhejdb2mPK5MmcecYZHHLwwUGIuVTD3hYe3W3zuP3mP7Lvfgdy6VU3Mmf2DBbMnxuph8ng8ynLhGwdS8VALeLGHyFb25E+GcszCmvoKMxtB/+HTG8h4nGUnEMtovy1QzHqGe0I87eN4VLY2q0I1L1d3/LrHF7Tfn0aaayvY8rUadHvufx7yZIuSWJhGd+pPUijFirw++MFSxiSdyiSk50sLlTR5abIZTT5oqA65ZL3HKxE/3nfK+CkUgihTfMPJXFsHZHzcinPSLfaNoefeQdXX301n3766Q+ek/92C8Pg/+pjqZXaLx6s3333Xe684w6uP+8UhO1E4W9bFSMQSxJPhBCkUmny+QJWQjval7Z5CBtfOoFnbiYelxSetikqx+TuAg/bV0bpyKzBLdZad322GLMdmbQTTda+tmieO4M9d9iUG666iBVWWIHLrriaLbfYItp3XW01G6z/K3beaSeWXX4lrr72eqoyDscdNY4JE74glTJewwqjR3P1tdcF4cGgn29wXGGTiyj3V2bl5LhK1jMs3Qs4LwG4k9sqfyRfD7djnoOaaXqC84+t9S75XNmqu5LASljSI7Tiz6+9yYj1t2Ktbfdgsz0OYY2td+fVd/9WuoNgt0nVtHDs4bi22WJzXnz1rzzy4D1otxNV7OLpR+5g/PVXc+pJv2Xvncfyxyv+wIwZM3js4fuQQb9mKXxs4RL2BM9l0wwaNIiFC5rjBVmg4R2Ce0dHB+MO2pf77r6d/ffaKSpF/PjD16MhW9LHkUa3zw5C1X5ANgsrF0JtchGAcwjcadsAfNoKe0YbmdQIvAVRh7moR3sgGBL6wT2acCTuzUrXsTz6E16ryh3OzO98YP9+VOWyTJk2Hd+vrD5XHrlRlDLxoxK6cNEpDEkwjCKYa6QoaociabpUFb6SpmuZa3QT5renSdtmoQNBHbrbgbBzAHS6aQqeoL3bYkG7Q0u3w5zFKTq7NUVXsMzyq7P7gSdy2GGHRWm6pbbU/hH7RYfB8/k84w45iDMO34/lhgygKCSO121aKQqJ4+cj1jcELRaFoKoqR1dHO401OSzt4Us7AufkShxtykZ8bUWM2pRwyat0pPUcTn4h09WWXlTSpZTEopuzTj2eTDrDX/7yAn2a+gPGK/vLCy8xb95c+vdtYuqU7xg8ZDC+V+S4o4/glVdepraunrbWFnK5HCefcg4HHnQwjuNEoBZLYMbtJ6OQvvZLPVYoOReVLBlirRSqTjLJ4+hF5ZKn8D2IwbKEuNabp0zpd37IA6uUb6+Y7y4bl2+ncO0sC2ZO5bfnX84qK6/MaquvzmOPP06hUGDYsKGlYxWl3xcY0iFCo4X5mRx+8AFMmzmLiy88h9tvvp7Ori7a29vZY9ddOP43hwOw3KgR7L7Ljtx4ww3ssctO1NTVR6CRtJGjRjF58pSYdBUcUrjwfO+dN/n6qwnccd/j3H37eE4/+RgApk2eaKJAiRKqWPhD4osYKE19PmHAN9p3SGaMPqMrK4ZVPLch6CUUwqLLggl/lkdMysmMJde7UsldqGAmJAgYMmgQU6ZPZ/qMmYwYPgwRaL9rRHzPaX5w/OHYQ4U1R7olTHqNoMvPUvAdir5kYHUbncV6XE/Qt7pQolBoaw+3sAi3bjTpYHEzqLaLyQuqEQLaOiWODdU50860pdNi7AHn8dYrT3P11Vdz+umn93qO/+tN/gTa4EvZ4D3sF31GLr74YrLC5/i9d0RJM2GafHOxJAwG8UpcakVNdRUdHR04qlDi+0E8UVjKS8gimgkvJVzzWiiaEJRahSSzjFXADuQSLemTs7t54K7xfPThe1x15RWm5V8YYBOa5ZZbhl/9aj2mT/uePo2NvP/OO4wdO5aPPvqIVVdbk7bWFgCuufZaxo07jJRjxeFQEXunRm4z9mKifUTeY+xFJkPVyeONSlWCSS4GKl2y7dDKt1vJ0056RZXCmeXb7M0qTa7leecfKrUq/4ySNq6V5ncXXUUmnWb8+PGsseZatLS0suYqK/HZl9/w7sdfEJYNlW8/Oo/R+Vc01lZxwxWX8Orzz7DF5pty6IH78eazj3PjJeeQUkXe/OtrrLvplniuR75QYPzNtwTbUhFRUAZAO2rECKZMnRprnpd4eT7N8+ZiOw4bbLA+N912L5dccR3jb7uPY449jrQsGs8w9BAjL9ojYxUjALcDoRZJ4n5K6JSHtdXhcyjsEn43+WwFv4lyTbjkvaYTVRjJa9hrKiMMWQfXrteoimUxYugQXNdl9uzZkGiNmlygSlQUmUhuK0xnhY8w5B0qzcmgOU5KuFHYfHBNCwOYZSRfNXQUnYjY5yuJl28FYSPTVSglcH2zsG/t0Hg+FIowfbaPFJByNGlH09ad5bhzb+f3F17At99+W/FY/xcsSdD8Vx5LrdR+sZ71p59+yjVXXcFrN12M7dj4gOXmUXbK9DFO1IEqYQUTnrG6rMO0YhG36CLT2QrM8ZBYZjZiB+UbXSqLxHjNACnLi+o0QyZvstxj8uTvueGaS9lo443ZcIP10QmdR6E1vu8zbcoUZsyYwbhx45g3bx6b/3pL/nDpZUyfMYt99twFgDmzZiVqX2Nd4/JQsSDObZr/ExOgNn6F+TOePENw10iUtJCJ3HccvgwXPskWhMltJ8PMpR79P6UMVgHAK3n9vaqPlZHM4rHFY7a8Aq3Ni3jprff4w8UX0dDQwFlnnQnAu3/7mHf/9jEAUz94lapctldvTGoffJ/wDtJCstrQJv547ilROH7GrDm8/t4HnHbhpVhSMm/ePI478jCuufEWtttma9ZYYw3CHt6h9zdoQH/mzpsXLwqUihYNCoumvn3wXJfZM6czeOhwdtl1j8Q9oqPQrdmeYZprLfCAdKJznGFHS3MNQ9JY8pwRg3iyM1ZIz5JCIYIcfQkw69I6fMP0rpzrrmSVznfsGVe4DrbDqGFD+HbKNFKpRfQNWmuWbyf87USpsUSkIbrHROkYw1aajnCpsVwW+vUUfAffslmtaRofzhlphE+EImO7CB+8wgKsbCNErHkDzLVVgrZOTSYtWLQoT5+GKnIZQS6r8HxB9bIbs81u4zj00EN46623o/TGUltqP2S/yDvF8zwOO/ggfrv7Nqy23Ei05QAglWuAmlLimKVcbFXEVkUcVSAtTDeo5vauUo3hBMksCVQCTVGncISHQpC2imStfOTB2CL2Vs3q3ZQAnXHSUfi+z9tvvUVbW1s0fqGNrvKMGTNoa2vjuOOOY6211uaJp5/lltvupKFpAGuuuSb9Bwygf//+5HK5+LsJ8RMzvvJQY+KSBY0uTCeqoCOV8rFUEalcbL+A0H7wvo/lF815U15wDswj3FZMcurZHCFpSa9bqn+wr7YuvRYVP1IujVrps8mVt4g9tKT95ZVXkVKyzVZjALjn7rt57LHH+PTjjzhg370ZPnQw1blQrnbJ4B+d6+Q9pHzmNy9g05335pTzLuZXa6/ByOHDaGps4LhxB7PaKitx4im/o6u9LfKgw+fFixfR2FCP1Mqw/NFRvtxWRX696Sak02le+POzWPgRATIkNFqBRy3QQY9zHeSqTWlVWG6V9JZjzzI8pDJPOBmHEjr6floWcYRnth0sXktIW+URl0pAnEx7lEWAoshN4ndayZxUipHDhjCveQFtra0VPwNEXI8kSJcfZ/g7lihSokBaFCiotNE1tzzmd1TTLup5ZdIoPF8wpzVDwXdMqkwW8TrmYFf1RWvwfKNw5imJ0mBbgkIRsjmHGbMKFFzoKghqsj5KCXY8+FKmTJvFrbfe2usx/Fdb2CLzX3ks1QbvYb/IM3L11VfT3bKAMw/YBW2HQF1KyggnNqlNLafjF3D8ArZfxFIu/eprWbC4FVQ8SYYThC9sFBIbNwp5hzWiGVkgJYomNBb86AuFPKccfwR33TaeQt60N5w08Uu+/moCAKuuuio1NTVEZCE08+bNZdbs2Rx62GE09unDyaedzaqrroYQIppcd99tN+bNm8cZZ57JjGnTSkLSocXeZTD9JOqUyxm05R22kt+PwCIs/0qclyTYh6BEyWLmh7S4y8PxiZIyIYKx/7hbLRkaLX1D93wk30t+NPjuOx9+xArLLUtDQwMawcqrrsEaa62HtGxef/MtNlxr9ZJzteSDTNSHJ1IO//fCK7iuy6ev/4Wn7rmVQQP68+qb73DrXfcy/vKLaF6wgIv+cFn0+XvvvYeTTz6ZF19+hQF9+yaiCDoGbq2ozabYfuy23H/vXeS7uyKAiYA5AGk7IVgSettQKtHqCC8C9mQry1jrvucjbncZhsM90rIQ7NONFpQloe5KKZclsPWTIJ0EbUt7JdsN96OFJJfNMmzwQKbPmk13dz7Yj4ge5hLFXn8Y8g6JZtG+yyIAAhX1uJ7VVofS8NncAfStV+SLBpA73RSO9OnsaEMrD5UeFN0ajqVwfcmqgxahNbS0+tTW2FiWoOiaNqMagWNrslXVjDvtNk479VSmT5/+w/fef5ktZYP/PPaLA+tvv/2W319wPjf/7nBS2RzKTpkclVboZDg78Opsv4jjdSOVh+UXI++xrrYKpaG9o6MEqMEAl61dwyTXwpSgoJgyaSLHHHEQG6+/FofuvxunHDeO3/12HPvttg2vvvwXrr/2cvbdfSzzZk6iOpuKhvLFF19w8im/o72tlX323Zcnn3qaRYtbuOKKK6iurub+++9n2NAh0QQRrvR/e8JJPPzQQ2itef7556Pt9QYepvFIQJQLQqaVCF0R4CW8iSgsCFTKa0eRgzCHWgbeUZ58CcBdyvbumQtPanVXWlyUn58fk6su2X9Z+HzrzTbiq28m8sUEs6hydJGM6uSyS37PokWLOfGIg3rNx/+gBce0uLWV2tpqBvZtQmjNHjtuS2dXF6+/8x5/fesd+jQ08OiTTzJjyvdQ7Oayq67l8wlf0r9vE7vtuF3FccsAsE469mgWLVrEA/ffjSU8LOEhgryshVcS7bEDQC7923TICgE4Jd0YhBNedwkhLRHuDr34aJvBviNFsjJwLueRVLo2S7puyW0lATt8Pfy/rraWfk19mDp9Oq7nlS4OowYmpYuHKBePF40x5Kz42CgsuvwsrcUqbKlQWpBNKVK2wvOgOmu21+FmKLZOx64ZSso2fb4dS0Xa6a6yaO9U2LYwtdYZC6U0BVfQmZdUZ3xcT1A/bGvW33IPjjzyyCht9T9jQv40j6VWYr+oM6KUYtxhh3Ho2F/zq1VXNDlXP/hxJWpjQ/C1VDF4uFFjCy0knkyhrDT96qtpXrjYCKAQN7SwtEfKz+NLJyL+3Hrzjey0w7ZMnvQde+++K/2bGulob6ejtZVlRo5gqy23YMyWW/Ltt9+y5+47k06V5sG/+eYbVl9rHdra2hgxciTDhwzmqssuobqqit123YW777iVrq4uIAamb77+mn332w+AXXbeucTDSFpSRjSuL06IPRNPZr1tAyqXzkRedfnEWA7eFYC75/Z73k5xOD/xnQTTvJJVzHuWiltX/F657brNrwF445UXEcEi7p133uGhx55k9LKj6OzqDgb+T06WWrPsiGEsWLiY1rZ2tNbc8cCjAEz45lvOu+waZsyajdZw8RVX8+cXXyafz3PV78/hTw/cyYF77RYfXtm5aF64iGuuH4/necydNTPwuOPwbVibHRKqwkcIwkmAFZgqh7AuPPK0A9AOgczCPFLSDULeKgLwsJQw9OzD61qerimvHlhSaV5vi82SaFDiXk7W1vft25eqXI7p06ahVOw9hwuTSibQgaxpsP1A0MXTRn44a+Xpdm1StiJjh5Kpmv6Nis68IbJZfite90Ia+/Qr2bYMupdV2XlWW8ajrc2lukqSckzNdb4ABdeM0bY0dTWCQ0+4io8+/pgHH3ywx1iX2lIrt18UWN96663MmDSRCw7eGe2k0KkM0o/z1BAAVzJHG/yQfemgpE3RyVGwc1jKZWBdls58kdb2TkK5Tlu5WMrDtdLRZPDQA/dzzdVXctS4g3nl+Wc4/ZQTGf/Hq3jg7ju467abmDN3Hi+89DIfffIJ6/1qA3baaSfq6hs5+dSzSaVSCCGY+O23AYnpLIYOHkRtdY4Vl1+O5556jN123omrrrqCnbbfhq7uvJlkhc9fX3sFgJrqagYNGlhyLko8l95yu5ROismwJMQTaXKbpRvQ8XMy950A7+QCIAncQvkl3vaP9bh7hLArfT4xhl5z1eWLlQoM9I68IdNdPf42Lr/8coRWZKuqWXfttZg6cxb7HXcahWKxJ/j3Fm6vsEhYLlCw+2riRL74eiKffPElt1zxe1zXZaett+Cd5x4H4IVXX+foU86gsb6O1UYvH59fNEopHnnq/7joquu46/6HmNu8gAv+cDmvvv4GV/zhIn5/7lnGy9VeAsB0CWhbeFGESKBj71qUet0pWTS618Kwn60yAA9z3ZbwyYg8Nh5OkBaSFe6NkktTHlr+gQVj9Fo5RyEB0NH9V76gFIIhgwehtWbunNmJSyeCXHxpX+twsR5uX6JI6XykvNbuVaO0JGP7uL6kIdtNfbaIrwVdBYEVssKbJ5Or7U8XtaigWsSWhi2fsYt0exnmtqSoqrKZN7+I4wgcW+AHWjsL2iyq0sFxpPpw4Im3cPzxxzN//vwe5+W/1sIWmf/qY6mVmNC/kBjM9OnTWWWlFXno/OPZcp1V0bYJM2vLwk9XgZAo6QS5KRl52kraoDVK2uSdajSm9jLUA5/V2k3z4lZWGTGIv330CVfdeDOTp07n0t+fz2ZbjGHunDlssOnm7LXrTlx76UWoSDvcPJ9x7gU88dQzPPDQo4wYOYp58+bS0dlJU5++9B0wkM6Odp549CEcx6KxoYGBA/qz6Ybrx7KNwfNzzz/PMSedxg7bj8VJpVl3nXVYefll2HnPfbjk9xew7377m88nmd8JD0OWeR4hSU6Ulf70KHlKTFDJ75dIdia8oRLPaAkebPLzvnQSr5dGHCqCeAUVsx9amCxpG6F5nsd1dz/MhInfUVOV4zf778mmex4KwDprrs5Tjz4UnY9JkyYxZvudufaC0zlw1+3xlOK9qYvZYEQDdvlxV9AzD8+T6/lsvPvBNNTXceuVF7PB9nvy2yMOpr62hvOvvI5sJkN7Ryc3XXYBK49enlHDh5JKZaL86oSJkzjt/Ev4+PMvGDp4MDNmzQIgm80y5tebc+Mfr4717MuALtlZLs71x93XlDalgGFnK4mKoCv0MstfD8HLFm5wnIl8ctk1ShK4wvEkLblYrATS4XfKF5hRKiRI+4SLRF860evhd4pFl+8mT6F///409OkTbUeF/ekTKaHkGKJcdnAu2n3TMGR+Zw2OpWjKttFarMJTkva8Q1dB0ic1m8K8T2ga+SuUzOEpGQnQhOkER5rz9/KnNXR1+/Tv6xg1s4ygrUPjOIJ+DYqCK0z9dp3HFWfsxaDGFI888kjFc/TfYm1tbdTV1TH72lOozf6wPOwSt9VdYNBJV9Pa2kptbe1PNML/bvvFlG4dd9xx7LrB6oxZY7TJU0sJSqHsNEJrVLJcSJpSLd9KRSpkvnRw/AK+tAOSmQmf96+rYsHiVj7/5jt2PXBctI1DfnMs243ZgtnzzIq2vd30Co5ATSu+nzqdhx59nJVXWolLLr6Qzz77rMe4Gxsa6Ojs5LDDDmNA//5UZdI9gPqZP/0fvz3VlA099/yfAWhZuID33qlmxPBh7LfXHkFOvlQ8Ivy7txCjmZiDSTIKFVol3++xvd5CzwmiU1ieJZRG9SLNKYgFUCy/aGQ8iftmKxmLu0BcFmY2ULn0qqL9yM/NbV7AEWdcxIeffs6G667N23/7hI+/nMjvjjyIq267j/XXWYvWhQuob2xEoFlhmRFsu+Xm3HD3Q+y789iyA6zgafdijmNzxdmnsNsRJzBtxkz23HFbHn3mOR666RpeeuRuTr3oCrTSKK0ZOmgg6VQKUOTzLtfccic33nkfy4wczuMP3sd6667D519+xT333segAf0Zu/0OFWvAIY4+9JbbkwlwDb3tEoIiIIOOVCGwhwprWouSBhzQc/EYCgyFERcDoH4PUI7ut7KFY/S3jnXh4/vc3PN+Oach4K2E35HaJ52yGT50EJOnzSSdyZDNVUfRhpLIU9lvopwdnpIuvpZkbA9PSXxt0ZRuxdcW7fk+FIqaQttEGvsOwnEcfO3ha4ewb7fWJilhaY2nJVpDY4ODYwts20xnRVcjBCxokdg2+D5Mm2ez3/HjOePAFXn++efZfvvtK17PpbbUfhFg/e677/LXV17i63suM3e11qDiiT2Zr9ZCmtC4NvXVWEa1zHTdMkAttc/N9zzABVdeB8A9N19Pur4v/fr1Y9GihXiemZQ+n/Als+bOA2DLzYxGd9hqEgGjhg9ls0025oO//Z3NN9mYgy77AyNHjqCqupoFCxYyZ+485sydy7Bhwxg+YiQrjBpOLltaCiS04lfrrsOggQNobKhnwlff0LdvXzbaaEMuu/Jqzj79VKSUaDSUeS+Vcs/J/J1UfgR8JRN6BcJO8rshm9m8pnt+JwECluehI0EaUfKdkpprBcjYm5HKjSZhUz7n9+qpVyTU9VJHXQm4/vzXtzjxwiuxLIsn7rqFDdZeg4mTJrHrIUfz3sefs9n663Dj7Xcz/o572H+PXbj8ogvQQnD8EYcydu+DOOrM3/O73xwCVG7HuETTmo3WXZNcNsPHn09guy0249E//ZmNd96XEUOHcOSBe3PRNTdy3JkXUpW7kj12GsteO43lhLMvZPrM2Zx8zJEcfeTh2OkMGlh1lVW49opLIw8yPAvl4BKq9ZnzUkqw0iRq9SOQk1H4PNxeKGGrwzyujs9zuJ/Qkip6yf975JwT3n54D5ePPQTdSip2JePVRkmu/DcQLtDDKFptLkv/AQOYPn0Gyyy7LLbtlHy+ElCXv5YReTq08aSzjkdGFsjIbtr9GhpzeboWzAbtI2tHmfOvLbKWS7ubBmWRsYuRyIojfAoFH6U1uYxNqJLat1FSKEIuY4RSOroFloZs9QAOOvoczjzjDLbbbrv//trrnyKMvTQM3sN+EWHwMWPGsE4fhwv23wFd24i2zFJU2Sm0tFBWKgp9K8vBlymkcvHsABgTP2bfdbnzocc47/JrS/Zx4gm/Zczmm7HWiL68+cFH9GlsYOCAgTzwxDP079+PvXfbpSSsF5K4XM/H0wQeEdH7oXXl83w3dQajhgymtjobvV8OtALNY08+w8lnncdGG23Ee++9x3Zbbckfr76CVCpdkZRTQhpLAmzoMQV54yWFlcvPT8iip3zSTU5giYmXALiVsHr14qJNJxZWyVBleRi3/FgrhsArHFO5FT3F6Zdfz72PP8M2m2/M1RefT1NjAwDN85vZeKe92GHLTbn+gtOZOWcejz3/EpfccDu3X3MpY8eORWqfu+57gBvvup8hAwdy9gW/N2Hw5GT5A+IrYVevw069gL99+gV//8sT5D2Pux56gov/eBMAe+w0lhOOOpxnnvsLdzzwCK1t7ayw7Chuu+YylltuOZS04nsucR1iedyeMrIlZUqiFKyjcYZqZVqVAGDJsZSFsivdN+WRnUoEyOT7SZPar3jdy/eZZMILrSgUi9z18ONssP76rLriCtECxZOp6HvhYgPAFTYzZszE8zxGjBgZqVWG+etK+00em6MLLFRNUZOWerslCqVPb0nRPusjMgPWI52toSHTEYnOtLvZaFu2UFjSJyU9nny7GtuW9G2y8Tyoygkck7FDCEg7pjNXvijIpjWdnQXOO2g4191wI3vuuSf/jRaGwefccNpPEgYfePwVS8PgCfuPg/Ubb7zBTmO35etbL6CxXz9UOgvSQjlpA9pCoqSNFhLfyaCkjSdTZRKcxmvTSC69/mb+eOtdJfvYbP11uPr8M1ik0zTm0gxrqo0+H+bAzXYSrNMEYFfKFQL4vs/Xk2fQp76WgX0bSz5TqRylo72dzcbuyrz58xl30AGcd2bgVVeYjMPvlU9iyddDdbKo5roS6EE8Q4RADYhAiKNH+DzYbnysIaErAdiJyT/cn06UWyTPaXwwosdE3ytrWPdyHJR6kRO+n8omexzKqcceycnHHIFMjPfOBx7h7D9cxXdvPEufuhpzjrVmn+NOZ+bcebz+f49HIf/nX32DY864gIcffpgNhjdgL2FVnxzT7OZFXHHL3UyYOImPJ3zNyGFDePuZB3FSaYqux59e+isbb/Ar+vVtis7RjFmzefSpP3HEgftSV1/f4z6rtLBJ5mmT7yfz0+a0hcSqIBUR6K5JQmazKskjV4poLIm9nfxM+XhCSy42kvdkb8Sy8vvo1jvu4o133mPGrNlMnTaduro6Hrv/blZeYVmUsPCF3eP3KrVPUWbwfM2Uyd9SW1vHgAH9o3NTrssecuoFOmrpGUYi8tqAb1iy1u1Jpk76mi57FPn0srge2BasNnhRdM69SC0OUpYRkHn0nT74vmbk8DSeB76CdLDety1TCmZLzeTZkoZaQSal+cvjt/DBc1fx1cRvsaye6adfui0F65/X/qPxFq0155x9NkdttykvfjqRopWKgVpaJrwbhsDDiV5rHK8b2y8glRvJZ4bA+8mEr0v2Mf7is3ny9usYPmQQK/SvY3ZrNy1dBaISpIS4SCVREojzxtFDK7TWTJ09j0zaYUBTQ2IbPcugQquuqeH1vzzDS396nAvOOhVLloYLK4aDw3NVCQDNSSwJmUfksXKGd4I5HwJ1yLIPQSs8z2a7yoCy8sv2Fx6jb85/orxGBDyBpLJZckzloivSd2O2fzjWSqVkFcRWAEaMGIFlWfTt04BVppc+4etvWGvVlehTV8PtjzzFDocex9FnXcS0WXMYENREm20rxmyyAXU1Nb2e+6TNbl7EqZdex/CNt2eVrXbjoT/9mdaA73DHlb8n7Zh+2inHZvcdt6N/U2Nw/cz9O3TwIH53/NHU18UTULzw6hk9Cf+2gnMdkq0s7SWUzwIxlUSrzdAU0jSrwTb1xFGdviy5qyEZUUrwIso+Ex6LRsSef4XtJL+ftB6/o8S+Fi5axBV/vJGufIE1V1+dxx56gKFDBnPIkUfT2WnKHk1Tnnhxq4WMCI6WZTFk6AgWLVxAe3t7tN1Ilz2pzx6NQePomOOSEgWqaMcWLo7qZsHs71FWNW5mGbrzJjs3Z77PZzMb6XAzUVOfjFXElh4awZyuRhobHLSG7rwm5UBV1kR2U3Yc4dUalh2sKLpQlVZstcthdHTnefTRR5d0C/7yLeqz+i8+llqJ/Udz1q+99hqff/IRHxY9ip5Hbd9+bLvp+gaghYjyX2HOVPpe5HVpGee8tLBQ0uKzLybwxjvvRdt/bPzlbLnJhmjMJFGVslimbzUT57awyuBGqtIOQihC7WuBinTGoxBweQgtuImaFy2mq7vASiOHRA35Klmyi5XQmprqalZeYflgY0GnKwJSFyL2ThO5unKyT7RtEgpQOvawkx5s0vMSOpEXD8E4zFMiIZIeLQut+x7asiuv7IJzFXlTyo202AWxp9176DSxUPghK9tGtYQVRg1nwlffBO9rcz0B1/PI5/NorRl/32NksxkUgnyhwM7bbIHQfhSxyToWO261OQCFQgE74B2Y8cX7vOXBJ/j99beRSac5Yt/d6dungc03WJflRgyjvaOTmtpSAJbKC9jxPWuIo/8jz5OenwlIW+XnQBJ7qzoBepbySvK5YLxqU5wVSpqkSVFACYnCicRVFLEud3j/l6dzKnnHSzKVjNZU8tCJdcCFVtz/4CMIIbjz5vE0NNQDcPMN1zNm27HcdPtdnP7bo9GIElZ4RHJDoYUml00xaNAgZs6YwXLLLoPjpILtm9K3cNEi8fFwDHArhRMs+l3LeIS2cpk3by6F7k50w3pkhKarIOjo0jTWWxRdmNOapX+NqaNuLVYxuyVL2tHkUh7deUWx6NOd11RlBVKAFqB0oGamwXE0RU+Sy8Dk2ZJ1lvUYd8zvOPecs9lrr72w7V8EpegfNyl+gq5bS8G63P5jd4PWmnPOPB00ZNMORc/DTjklZLJwMoUY7KTyUZYdgZkKVtVdHR1su9dB0Xe/eOlJBvXvGwBYTMQaUJ3CdbN8NXsxqw+uJ5VKgaCHR2JAEDRxo5BwLF3deWbPX8Rywwbi2BVaOFIpvxeEysprxhNgmvxesp623FMPPTF0LE5RMW8deo/KNxN/IvQdeczR9yrkvsP/hQDfiwhk4fWI/0nkuCEgl1nxRFxRX7wCQPeSm+7N5jQvYM78BUjLNnnJ4Dq+/9GnPPX8S5x93OHMb17I9NlzuekP57LHzjtE50wHYBqev8P22pl5GjbZ4xBWWWFZDth1e7beZINgrJrOfIGLb7iDnbb6NZefeSK1NaVktNqa6pLzEOdj4wURxBEgs934npLagGopWzvmE0TnLbFPS6s4fJ4A7dDrtfCihVMyPO1j42sLicLDAJ8MIxNBQ4/o96b9HhUG5R5xOZEsSRYzW+vdwnv1o48/4Y8338YRhx0cATXA0MED2WHsttx6173ss8euDB80oIQ/oYXA13bEZAdoqK+ns6ODGTNmssyIYWhpG8Z7mBYIOueBKfEKK0lMlMLHUh7zFrUwv6WDuqHrkJGCKc2m5aXvm65ambRgYaug6GZJBfln1xN05gXNfgrLUgwflsX3obsA2TRkUhpfxWfDlgpsaPEk6ZRgZkuO3XfbjXtu/SMPPfQQBx0Uz2dLban9x8LgL774Il98MYFVRgzi9H22J5NKsclaq5V41YCZ+Eq6PJWWcEXbe+NtALbcaD3mffQag/v1CbwbH+m72G43lldA+h7Damz65my+nN2C77lR3tfkdL0gxO6VhMhDU57P5FnzGNinnrqMY7afCE8mP58Mb5dvJ3o/EX5P5vpkOPZkwwNKgVvqhKpYyX515EWHABKFqJUfAX0cBlelf+syTzBcMCSIaRUt8tZ1ollIEB5PjOWHrDylUCnF4EmbYy+8ilQqxWnHHxXdF99+P4XjzryAdVdfhd8evDdNDfWsvNwobnvwcXzPC7gKcclRuL9Rw4YAsMf2W/P3z7/kpvseDUL55pq89Nb7dOXznHrUIQEw69IHlF6LKDXgl76XCNVXur96ngsd6d8n7wOZvNZoLOUFn4ubgURKf/ikdbeRCiWWcw3bXWoEfqhfFnSgCkuRwl7wyTB3FDlJ/i5ETCxMRoUEuiSK0uP4gmN5+513yKTTnHbSCYAhj2mtOeeC3/PkM/9H0XWZPH1WtJBNjkegSvLSWggGDRqE53nMa14QvW7ORBClQ5GigBQ+Skg6nTq8YOE/r6PIzAWt1A1enTwN5D2b+mqFlJByBFqD5xmHY+Zcn6Ir+OZ7j85u0xqzpU1RVyONZrgjsKR53TT5MMDuWNp42xoaa3zqqjX5omCgbubUow7mvHPOxnXjDnn/VbY0DP6z2H8ErLXWnHPWmYDmhqP3YXFHJwDdKgh9SytifodW8kMvK1VyfZ+b7riHNVZcnkdvuIyUFFH+Uwa5baO4ZQBMap9lGzJUpywmzG7Bd01/bEu5RlvcD+VLVeRdgAHH6fOaSTsWgxuro8kwGmOPDJ7u8V4lEwkPyeynp0pUObBbiZ7eyXPUA6QTOWahA7BNAEgyJx1tLwlA4evJnHP5/srGkMx3yzA/HuWuK4B22Xgrncvy83Xvk8/x13f/xu47jsVXimee+zO7HHQEG++0D4VikZsuPovFLa0cdvqFTJwyje+mTKO9s4veGoqE+z35iIPo16eRAUGuORzXMy/9ldVXXN6AeiUCXFl6xqRvrIh7EV2LoANa1OGsAmiXpghUj2tfzgcIm3+E37ES5zzsSBeCto1bck7DhYuFH4B5WbpCGy87BO2ojWfAzPaFXRKWLj+n4SMsNeutv/lyI0fQ2dXFosWLo+P49KO/8cDDj3LScUcx4aMP2GjjjU2+OpF2ARKtQ+PtC8ti2NChNC9YSHdHG5HiGwqlrbhsLVA8k0EKrLmjyMzZc2gYtBJ2po6c46I1SGF6UgMUXZjX7PL95E4KBcXiNk1VlcWUqd10dCryeZ+OLo3nxbeGr3QkNZpyNCnLnGdfCeYusqjOKKSAdzrW5MDN1kLaDvfdd1/Fc/VLNyHlT/JYaqX2Hzkjzz33HN989RV7b7w2yw/ux4OvfUi+WGTNPY7A9eN8GcTEKiUTIcKQ/RqEFG+5+36++nYSV591gtFqCpt6uN1Ir4h0CwiviPANIS30qkY3ZcnZks9nLcZ1iwG4JMArmFhDT2VRSystnXmWHdCIrb0ek2f0vWCCSr5e7kHF4X0ZCY+EXkbomYWM99DDC/O7EalOxKH1ZL10yQSfINKEOus9vLmyhVCPzwTecfRa5J3HoFyyUIi21RO0I0nU5OdKhF7KbsnIWy+NMKQsQVNjAzfddR+rbroNR512HpaAOy49l8+efYBRA/sybeZsnn3tLTZYczX+fN8t1NbWRec5ea2S+z3nyhv4etJkdtlq82iMbV3dvPz2++yyzRY9CHAl51EkRhgAWrg4KJd+1Yl8fiUQ+6GFXuxNx93Two5z5d8L7wNLuYaYFkiIhsAdgpitXSziFphJEAzHqoQsIXiVn4MlRQl0EF4vOQ6tWbxoEVfddBv9mvpQn0lFsqqrrDiaoYON8mDYc7zbqunxfaC0I5k2wJjO5RgwYADTZs7GUypalFh40W9aCI3CIuV309zawayZMxg0ZDipqiZcZSIKuZRHYy5PdcanT70glxEoBSOGV+G6iuaFLguaC7S3Fyi6Ct/XdHX7FIrB2CSkUwLPh5qMR3XGR8r4etZVaxZ1WAxv6sLXAq+uP2cceSAXnncuxWKx1/P5i7WwMuRffSy1Evu3nxGtNWefeQZSCs7fbyzvTZzK7OaFADQvamHOgoVmkouEOBLCCYFHHda2AkydOoWrbrqdY/bbjbVWHm0OSnkIr4j0CgasE6zjWNdaY2mflRod6tM2n81qpbtQDEAprE/1oxaSxUKRyc1tLNu3howMw52lHpIMwL60rKxnzrlnyUroLXtx688oBK7MAiMA6XBiDs+JOUkqAWphCDbw4JSP8N34vR656pKLU/a/6gG+0fnz3bJQ8BLC3OHYvGJ07nsAdnh+QvCslOlMfOfgHcfw3UuP8vEz93D7H87hgyfv5tnbrmb3bTYnEzCy11l5eTZcazXe+tsnbLbHwQxYZT2eePqZioumcHd1NdWkbIc1V1oO3/f56wcfs8sRJwGw23ZjelwzoXUUtkuGgoHo+vU4HhF7q750gocdDENHzOTwf6FVHPINF3JBjX0sO5u43xJec/n3hFYBGMYSmUELEAoii0sKjcTXdkKyU8Z/h9rbIk4lfPnlBGbOmFESFUk23UguTCvZm+++z3ffT+GBu24jU10dRQo+/uQTurrzvP3eB3w5YQKOKpDSeTSiZFGitcDHDnL1yf71msbGRjKZDLMDGdfQwhIwoU351vyFi5kzZw4jhg1jcNanyu7CkT61Tif9s4uocgpUp1zSjiKdggH9HDo6FVVVNjLI2lVVp8h3+6TTFgvmmyYxSpkcd3DZ6S5aKCUoehZFX1KTMcdRlVF0FR1SlqY7XcfuYzYmk81w1113VTxnS+3/P/u3E8yefvppJn//PUdsvQH9Gut59cvvS953AvWhqFQp4UWDAiGYM38Bk6ZOx3VdTjzvDwzs28TZRx1kwMwP+zUHoBsqoYXKaFqD9s0UFuTHV6i3mCzh03ldrNaUpjojDfM8GIdC8N38dvrmHPpmLVRysidQ54I4zxKykrXRLC+3cu8jznfrHl6WCECbYAILw6qCwGP1Aw1nYs/a7CME0JgpXjLGxDiMXGkitJvcRnicISlK+SAUWtpE9e3JSbjCfqJzopUpOFU+Ikx1QOlKuhzAI1Z+PB6Nib5IAaOGDmbU0MFBiqNUi1oIwY3nncx6u4/DC2SkRg0pbZhSbsWiZ3LTl13PJ199y+x5zawwagTP3TOeIQPiTkulPAqJL1MoacVCNWXHHWnZB6HkUAgFiMLIEcEpCNGGizZBoIstBDK5+NNxpCI5hnDREI4tSS6LUkEE11oCGkJ5zvJEDomGGKHWeGj5fJ6bbxrPDTfdwuBBA3n39Vfjc5/gX0SXkpismXy/OqjJ7dtQHy14hfb5YsIEFi5aRFUuh4/Ak4bZ7QkHKwBlJWQ0fh8bNIHWuUQLcwRDBg/i20nfs7ilhYb6+mgcpgZbM2/uXFoWtbDcsMFkcynywiIt8mRtm7yfJiPzNFiLyWQLdLp96eiWEdk5nRIIYVFbY37nrqdRCpyUxcIFBdKDMlRloSanaO8yX1IalBY4QqOUYZPXZMw1t6Xik9YVGFP4mnMO3ZMzLjifQw45hEwmrlD4xZsQ/zqbe2nOuof9W8FaKcVZp5xIypactc92IARrLTscgBtPPpTjrrmbtz/+nF3HblMK1ELS3rKIs668kadf+iuFokuo5bLZOqtz63knUCN9tFuIV/d+SL5SEYs5DOUmtbRDMtsydTYpqfmkucCyDYKB1U4wmdnMbs1T8BSrNmViiU8o3Q5QEqnUVFTzit4OwMn2ixFAR8zhwFsLgVokws6hZxySbAxgyoTHHANzCUhHO45Zw+XWG1DH78ceS6RlHow72as63E9vJrQyFV9aIaxg2k54X72FUn8oXFz++ufffMfuvz2HEUMG8fgtV9OvqZFLrr+NKTPnUN9Qz0efTeCjL75i+qzZZDI5/nDFldzzxJ9Ye+XRvPnhJ+y9w9bsscM2rLPayogScI7z0vFCy8dSKrp2ECiQybgZhUagpBVHYYLFha1cPOlEoh/KMoBmyqpUBMpFmUFLYSIw+Ghho7UV8RfMdbBjhnhCUIUgb1xOUozuOxGmMBIlW4Q0NAOuPnFY/7uJXzHusMOYM3cuAOustWbZoq20QiCMDiSjTuHxV1dXAdDZ3obsUxelno7dfw/mzV/AC399k70POJjbb7qRDTfeJGo2YiIXZpSG2W5+bz4WGdWJK80iIGVbDB00kOmzZlOVy+GkzOvK85gxcyaFfJ5lRo4glclGC3GJIi2NwImDCUVnRReN2W4skWFeq0M2K0k5UF0l6cprcplgQStgzmyXfv2rWLDIpbEuRVXKx5aa7mIQdZEghSDvWXg+KGXC7ZPnZ3Fs6Ggaztjtm7jsvqe5/fbbOf744yve579EE0Ii/sUw9r/6/f9F+7eC9eOPP86MOfO4dtzu1AS1rCsMG0T3S3fz1Qzzo29q7FNSQ/3dlGk88szzPPfK6yxc3MKyQweyzfprsfPm69PcvICtf7WG0dIt5s0FtizjTYdALWTAYtZmwpUahIo9OWmBNmVJw6ok1bbDl4vydBRclqu36SwqprbmWb1vBkcotDLbCRsXIK2K4BfmK4233PNchOHsEKAjAhyBZxIQukJp0DhH6kfepiAATuWWgLAoA+yKMpOV8oxLAGoo9SaTHnYJYCe211vYMxoXEukXQUh8K9V7nqpsUSS0Nt518v0ye+ejz9jnpPNp6+xi1LCh3P7QE3z+9be898nn+L75blNDPeusOprtN9sQK6hpfejqCznx4mvYd+ft+MOZJ/cImUdcisCD1dFiSpHsOBZee6F9hCjvTGY81rDK2NwLKgJ1iKMtYXQmJHgBSKFQhJ6qiKJQll+M7qHyBiDJEi6SIA4G/EJNccKSRYkUptubRzx2H4vWhXM577zzIqAevfxyXHn5ZSXnP9p3dC+EC4X4+IwOv6B/H0Pmu/mue7ni3NOxpLn30xIuP+Uozjv2UA753fkceuTRnHj8sdQ3NtHYp5ExY7ZCBOMXWmFJEefXE/lxjaS2ro76jg5mzJrNyBEjKBQKTJs+nVQqxbLLLkNKAglpVIHGoWjahSo3WlANSM2nTyqF1gPIpGyKbtCfuhryRcP6dmwYOaqW6kBitHmxBhxSjqboGTa5bYFSkkxKY1uwsMOhqo/LSoNamb64htnOcJZf8FfOOXR3Tv79BYwbN45cLtfjPl9q///Yvw2sfd/nrFNPpk9NjgN+va4BSSkjT/DP731CNp1mrVVGmzChUlx585388fb7qKupYot11+CkfXZg9cATF74Lowab0KdvAExbsgSoSyb1wGtAKcM0TIZMhUT4pvFEY0qwbpPNF4t9Pp5fxNeaIdUO9ekYIKVPVLsZNZKiVDZRAjoKfyYEXILJwDB2Y1C1/GL8fSGQnlnNx3XUCSAN83XlrGStI/JZ0srBOH6jpyfUG1CX14NHn9Wlx11xv0syrSHIy+sygKk01vB6loynwn5ufvgZ2gLVq7b2dp5/7U268wWeu+UKqnNZaqurGD54YOQxe0rz1qxuXvvgY6bOmsMGa61uNp0kv4UAF+Snzf0lY+ZHRPLTkTiL+Z5Z0IWh7ySghiAf5oCTuW1DPrRLZDYVoISPpVXiu8Z79x0zmYf62bE4jS7V6C7jA0QAVdL8wzW56mChp7CQ+Nxzx61cc83VSCG45epLeeCJZ3j7vQ+49bbb+O2xx5Tc56VlW4HHGvJF/OD+VorlRg7jrBOP5bLrb+aLr77hut+fGf3O0YpcNsOD11zI8RdeyVV/vB4VpLb222t3jj/+BF59+QX22Xc/hGNF3IOCzKG1MHKiwVgGDhjAt5O+Z9asWbS2tdHUpw/9+vUzkjEJnfFQzlhJSV3nXDozjVGOXAuJL2w6ixauJ6iv8in6gpSlqcsqZixwUNrUY7d3aPo3SSxpaq2rs5qUrWnrkhRcyKVhUbukKmPy2vPbM/StFhRcSZOeh7Ztthk7ln73PsUtt9zCySef3OM+/0Xa0kYeP4v928D64YcfZu78Zu458QCk4yRym2byu//Ft+guFGjt6CJbXcMJ513Ko8++yJmH7cXJ++9C1gpCvQFZKrRo0o68LxkBdfg+lHqFKAUy2J5WiKBczHgykLEka/V1+KjZpcuDakeUhKCxJCjP7DN0IEKvJ8ghIzRIC+kXozxlVCOr/IiVHpVFaY1QbknYMMwvlpatqYogXQLISa+mPFSftB96XyVel7IykIegUSE336uVi4IEUQSja9J7+Nx8SQYLBFFxARHa+PNPZtnhg+nX2MBv9t4Jy7LQYXQF2OmYMxnUr4k/nPwbFre2c+NDT7PT/ofxyPOvcMpvDmXbLTfveajBvRp5zRF5TJJUk1PSJqk7X6msSQeAbykvCluLxLUL7xMAZRlAtgJ1OCUshNRI3zCaAZDgyjRFy0Sswppr8/m4BWV4nySBXEX3nCZkjZtxh1EMc84+/uhvXHnF5Ry0z56cdtwRNNbXs9u2W7D6FjviLoG1bMLUOiZPhqmDxOLk+N+MY5MN1+eksy9g633G8dL9N7HGCstE40ql0tx20RncevFZANz48J8498rr+fbrr/j7F1/z3vsfcPU115LKBNre2sOXtinnStxT6XSaxS0tDB40iD5B05ek9KxA4/h5lLCwlYsvHbKFVopOVcSCt3EZWt/ON3Pr8JRgUG0nncUUWcdj9GDzu/64M0drm8fk6T41NTbdec2idkl9tcKS0NGlyReMDKnrCWzLlHEVfYuB9QW6rRrS9UPIts3l3HF7cczFF3HkkUdSXf1PdIb7d9tPweZeGgbvYf+WM+J5Hmf97iSaaqvZYZ1VSsEhIJStMMKIUrz27ofc+9TzPPJ/L3D7ucdz9qF7GqD2XfPwXIRfyoCNm0uUgVsZqJfIaCplvOww3BwwlUPg6yr6dHmaUTWS71qKfLmwgBcVTsYTX5JpHpG9gr/D7VlB206pTEgt1NS2vCLS97C8AiIsw1FeBOQkAVirOJwfLhyCsUe55vLPJ85BCWmtHPwT1hv4lQB34n9RtnAorQvu+Vq5xePvpfSrZHCJPGiwwArHUL6QqKuu4sJjD+XYfXfBDhYayZu9pa2dh597mTV2PoR1dh/Hq+/9HYB3nnmQM447oqLUY8wfCGvWdZQCAGKRnmAREYqJlBxvQG5yZdrkp8smpSSYelYKEZRkOX4BS3s4yjzbfpGkuI3lF0m7XaT8PEJrXFJ4wolDwYkQfkhiSxIbhdZ0tLcxfvx4xv3maDq7uqNQskRR5bfy5z89RS6b5fennUifujqzGPB95i9YSL/+A0orN4Lfh9DKlEhpFZdFah1FA4pOFa6VQQmL1VddhVceu4dhQwZx5a33xvdMIq0Spo/222ZThBD8/Yuv2Wjt1Xjl9TfZbIsx3HfPXXQXTbtcoePys46OTr6d9D1oTV1dHS0tLRHvJcynJ8l4lvZw/AKunTW92bXCDn6XGkGVnce2jASpqyyWqZ7JcGcaAzIL6ZdZzIbLt1FdbdPYYNPS4tLZpQIhFcP8TqcCcqECx9aBZrmm6EtSlsfMrn7muuY72WLrrRk2eCDjx4/vcU8utf9/7N8C1g888ADNi1u56tBdEIFWr2EMBpOblIzbeSsA+jf14ZzLr+OwnbZi3zEbgxeDNJ4bC3qo8AfcC7gkPczw/3C/EStcmxC6Mp5a6CUqpfimxWdYDkZUS9ZrslBK8/4CzYLuRPmXjh8haIcWlV8FE6lpPpI3yl7KC3TOQ9Z6UIccbjP0+MP65WTJWRKwy0C6tFys9JF8vdLfoUV/l4Nz+Fr4qHC+K4OxV+GzupfneMHVY+HRWyif+B6odMwAhWKRj76cyD1P/4XnXnub5kUtrLzsSIYPHsg+O2/H5WefzJtP3Q9AdXWuh3dfUgKV8E6jRUhi4WRywiIqWVLSiuvog3FZyos8Yk+mDHBLJ4q8hPsMt29U9UyzifAhg1I+s/jzSsYEcactXxvv0sOJtbqJOROW9iLg3nvvvblx/E288dY7jN1hR7bbblu2GjOGA/ffl4nfT2XPXXemo7OTq8bfxpPPvcAuhx3H6I23xfd9hg8fHo053F5SNEig8awUvnToTtVScKooOrmAWCfxpIMWkrRtccJvDuPPr7/D+TfcSaFQKAHs0Joaarn+XBMWfuejz3n1wVtZf81VuODiS/nzc3+Kr7/vMXvOHKZOn06/Po0sM3wIQwYNxHVdFi1a1OOeDcu5QgKgiTIIup0ailYmUjkTmFxz2tFYQkfRkbTuJqs7aXQWsd0qc1h9RBe+r2lu7mbKtG58ZeqtMykjruK60Jk3KmcAbV0W0xZWMTC3EN9KIXwXS/mcd9DOXP6HS0oalPxibamC2c9i/5Yw+FVXXUXfmip2WG+1GEQtq0Ts/YnX3mOZYUN46e0PyKRsLv7NfkbEI5qsk1607vVilntnEYM4DM1U8io1sf8jNTO6LZSGUTkT1s4Cq9fCnLzmyxZoymuWrZGkHTsGSpEEPD/y5EJCj1A+WlpYfj5anYdkm2TtswgWE4Y8pgC/tPNVj7ywXuL/QBT27/V8KZOLRyZy/uagKn6n0jbCxU5FS3rE0Wvl444JWpVKxnrdXllYvNyuvfcxLr7lflzPQ0oZ5Tuz6TRCCC487SSkZQWlXe1oYaGEiLwtMwYZ/S8Dgl8J8T9B4FPSiXLTYc1vWGufDIXLwOMsP48mpWD0tFVAtDS64WD5oU63AfBoW8H94dkZU7Md/KzD5h0KiYWPj41DIXH/xTr0SsO3k77n0tN/y6AB/XjtnQ9xHIdvJk/nzfc+4J6HHuWi889l3GGHMf6ue/H9+J50bJuJE7+hf/8BrDByiBFX8Yv4VoqinUVoRd6uIu11mWe/C0+mKIgsad1NUabQQuBaaTrserbY/TDOmjefq8bfzotvvsdNF5zKmqusGJ/vwPs9aOdt+HbKNG64/wmOP/9y+vZtwrFtNt1wfSzt0d7ezoy5zdiWxXLLjCLnBOkKaTFk0ACmzphFbU01GVtGeX1LebhWOlpkRAx9TCQgrDe3hE//mjzthRSNqVbSXhd2sHgq2DmEUNS5zdQ6i/j1Osvx+ZQq2ts95i2EmiqJ60FjnWkM0rJQkRskyQdMcccOhGq0RlsOVrGTzX+9GcPveoKHH36YI488sudv4pdkUv4EjTyWhsHL7WcH608//ZSJ33zNrUfvjbADcAtzzMFE3K0tnn3zA3bccjPue+pZzj50D+pz6QioheeVesblF7I8T1v+WqXPQWm+Npjou1zF5E6LteoVViJfJ4BBGWh0fL7rFLzfrBlZrRlSJbDQpqZTq0izGW1aQGrLiWqthR9MsolQvSjbfzl7WwSM2ZIa7LJcckVPt5Kp0n2VnJeKr+s4EgE/yWq3t7KxuNa79BotKS8df6gn+Sy0CZOmMmLoIMZfdBYrjV6ehYtb+OCTL/jwk8+MCE607TLSVSLPG6Y9eoxZWgjl41upiIfgB81nSvLAiWOOGcqleWyNqSMOvVIAxyvEoXcZ5/mTz0mZU1/a+MJGYAhhtnCxlEde5CKA84UdHVcyYrC4tRWlFA11tWy/2YZsv9mG5LvzDN90B9LpNL854nB8JOeceTpbbrgO+x1+DOlUiiP32YWFLW1cesXVXHzZlQBUV+XYYcvNuODcs7AbG9BaUFRphKXxsZnuD6fRao2Oo4sqtBYUfEOM87XgiGNPYP2td+XcU45lq0NP4LcH78Oph+9PNpNOHLvi4hOPZGDfPpx1za0MGdTGaSefQEN9PVOmz6Cjs5vBfRvo21CLZzmEbG+pfeqqstTXVDNr9hxGDhuCHQC1pVwzhuA3W5DZiJNQEFl8Heuk16TyDMgtIqs7SbudEQktF/BUBJqq7oWsJVvov/JyzO2sp72g+eJbj/59HeYvVBSKis1WK/D6p2lWWlbSlZcMru8irzLYfh6VSuM7WSwvz0Hb/5q77rrrlw/WS+1nsZ8drO+44w5qMmn23mTtUq86Yc+88T6tHV0sXryYbDrFUTttGQO1n2geIUpXbLH8qCwF3tCUBwl98YqkheSEqeGrLpvBGU2D3TNEjFJkpWS1Kp+FGYuJHTC7C1aogcZ0aUg38oaVKX+JiEN+GZM7JKolQ9kiOG4pwfcpgRMhTCogHHclAK60UPHjzmMVCXrh98JzEm6jZLs/ENEosx4gmwSa5HkPPdd/lFRSPt4K48il03R1ddFVdEk5DgMHDmKXgYPYdbut4jFqDREYa5LAXZ5zNrXT8f3rW6noMypQIgtZ0GFOOFl2lTzm8Hu+tCM979Acr4Dt501+V/bsehX/I1CWHbHGjSJZACha4AmHrO6MAEgRbyvU2NYI/v6eaYSz/uorR+ewrbUF1/UAj403+zVHjDuU4486gtPPvZDVVliWey4/m1FDh6CF5IRD9uWBZ57ny++m8MXE73jk//7CY8+9wKYbbcQZl4xn4IAqOnQNnrZwlcXcfB+jyS0aSVkeRd/GV5KGTAcFN8es4iAahg/m3idf4tGbLuHqW+/hTy+/zi2/P431Vlup5FwevueO/PHex9lgvbVZbfU1+Ob7qfSprWLFZUdgOWl8NCk/H+mKgwljD+vXwITJM2ltbaOxrjq6HrZfwFZFPJnCli5FkcEjhdKSbj+DqyyqnW66vBRVdpc5n8K07gwFcJxCB8pORamsoR1f0y9dg59xWHWDOj5bMJTh/Xwasl20FzL072tTnS5Sn9Usa3+Pj41d7ET4Pk53CzLfyV6br8dZN97Ll19+ycorr8wv1pYSzH4WE1pXmGV/IisUCvSpr+OgzdbmmqP2DtrO2AasLdtMNBo2OelShGUzadpMDtt+cy45cu9wcAZkotH29KojJnjJi7HnqkOw1qpkkjXbK/3e7KLFpG6LDet97PCtMIScDA8HY/GlxYxuweQuQaMDy1QpqlKBFx0sNspZ0r3WNCdBtwxUy73LEgZ84ph7vF+y31JWfDmo9eq9hvv4Rz1sWepJ9rpdiEFaiNJrJCoszMrGXrJgKz+nWvHaB59w8hU3MXnGbIYPHsAhe+zEsYfshwyV8gKP01OK96cs5Fcjm7CXEIJLivWE1yqsj1bCivohJ1ngpuyq5/h94taOYQg1DJun3Q4sN4+yUz3q5Ms9cjCLBtdKU7SyCDQFMpHOtx8AtIVnQtRhEwuE6W6F4JzfX8Kbb77Fx//3QMmiav6ChUyZOYdLbrmX2QtbGTp4EJ989jlvPXQTQwcO6DGe8HuvvPUuZ157G99Nm0VjfR077bgDtU2D2HnXvajttwyW9Ol0s+TsPJ6ysaRP3kvRP91Ml6qiRrbRrmrxkdTLFiZP+o4zzjidz7/8hqtOP471Vl+ZFUYMQUqJVj53PP8WNQOH09rayvJDB7DhaivQ7dQQyre6VpqUF0iABsI0SkhaW1qYOr+FVZYZgiMlKbczOt9Fpwpf2nTLahSSTj/H4nwVec/ClgpbaqpTeRqdVgSalM6TK7REHrb0PYTyojJPoXzy2QZ8aZMudlBIVdNl1ZL12xFoOqx6qv0WqjqbAVPOaRU6zYJd+RTq+nPkmb9n2CrrcNVVV/V6j/6nrK2tjbq6OuY9eDm1uX9Nca2tK0///U+ntbWV2kSf+P+f7WddvvzpT3/CsSTn7r1t0HU9mIgTP+4/PvUyn0yczDJDB9Le1cXRu4wxHwnDvb3lQZOWJCElgBoCTzZsD1lOPkoQV4oKvu2yGJ31sCkjUoVqaCX701jKZ0RWsVGDT1ooPlws+arFJ190y9pPetGjhDgWHmMSqLWKcvWVCGHlKmLlBLOk0lklslUl5nS0vd4sCdThOJPPlWxJofmyRUaJp/hjPPTkphLHHLHEEwC+xfpr88mTd/DCbVey8VqrctENd3D8uX9AuaHqV+VjSHqfUQg7bN9aNk5fOrhWBtdKR5/3hY0nU+RFjrzOUlAZXJ2iW+Vo8etpU7WooATMDqsDlEfK6yZTaMUptJu0SiCfW35eknXUSjoU7ByeTJn8tHJJkzfvBXKhFh5CxCzs8BiF1sybO4f3P/gbc5sX4AXXLWzN2r+pkfXXWJn9dxjD3HnzeP3td7n1wt8xbGD/xDVQJX8LNFtt/Cs+euIOPn/iVsZuvC7vvvUmd916I1v/en2effg6amQ7dakOGuVC6p1WmmQzAzLzyXnt1LOQlN9NnVhMH5opkmbQsqvx0IMPstduO/Pbi69l/T0PZ5P9j2FWa56/zSuy8lrrUau6uOGaq7j/kcdZ0FkMyt1MaDvMJRftbMRy96VDQ00VuUyKOfMWmMhDQCBTAfHNFzYpncfVDgXfwVMCzxdYQuMpQUs+i6dtPGxckTJk0nxbpJOgpR0tDgCyXQvJFNux/CI17bOpL8yjqnshjlegsTAnes8udsZk2uDeS7fO45CtNuDeu+74ZTf4iNKc/8pjKcGs3H7WMPidN93IyTtuRkNdsDIq8Rgl8xe38vt7nuLYfXbiky+/Zcu1VmFo30bzGaUSrRwrhHV7sfKwNVIGIWWNFvGEXm6Tum3qbEVfR9HL/B2PJXzWgNakhWDFnGZERvB9t8V7iy0GZTQjcpqMVerxRuOC2ItWZZKh5ccBFQlUFfO5FUPZvTDjw89V2GeJ514JlP+FgEyYh6/8ZuL1YNwVa+UrfUbH2y3xZIEN1lqVDdZalS03XJcjzrmMmqocl599ivlsIncbbbY8pxwoliXrqwGKdjbyrD2Zir7jkjIerkrjapuib1OfascWHkhDUEpRiLo/Wcp4uE6xC+kXjMa91OjgmMrLwpKtN7UQsZ54qD0uJEpLJAofi4I2nnaafATWoQd4xnkXMXHS9xy57+4mqhCQ6ZILmX122Jo9t/01i9vaaWpsLDlfFSVihQTlMmLoYG4690QA2jq7OX/8PVx80UWsNGwA6202BoVFm1dDlW2R0d0UrYxhqCsvKHX0kLZviHPpHOdfcgX9Bg7mr2+8ybjDDmVqh2JErc3AKgs5aEUm7LQVl9z2IE/+6VlOOf4YfnfM4VG4H0wDD9+y8XACRneRZZqq+Wx6M431nTgZG8crogiY+iJt+mArycKuLHlXUpUyuW9barqKNnmVJmd1o5H4dhqnaFr+hlUAYeMWEWhAOMVOw3PwilG4PJ1vQUsb6RciZ0AGTHRhWQjXdA1c/9dbkbvmHp5//nl23XXXnr+HpfY/az+bZz1jxgz++s677Lf5uuYFK55csMwa4Z4X30ZKwY4brME7n3/NvltuYN6PVMiW4MGpUm8y6TFGE3WSfKUSZUGBhd9pcWFOUTI665Uu6JIlI5W89si7DVbNUrNKlceval1cpXl3keSbdkGXn4gUhMcWlmGVdLEqjRBEw/gBAZBoLEkrC7f3WvpUfozJ81fpM/+gLamMLNp8YlFQwnwvG2+voJ2MqiTbhSa+E76+x5hNuOKUo7nj0Wd45Y13eh13z1adugdQh/lq2zf5TSUsWlUdc4v96PCr6FZZ/MCzrbLzZHWnAQjhYeNRXVhErtCC7RdJuZ1kCq1xA5pkuVelTmmJv62grEsGwN4tqiLWcqjtnRb5gBEe65SHNjgIZ1926rGlh1y2gLFsh6bGxmC7cZlZj/KnkEWfjEQAtdU5rjr1aDZfby1OPPM8PC1Z5DWStoooLaPa8FDcxQo0B0LyVsrrpLN1EZtuthknnXQSA7IW6w9IM6TKwgqu8emH7MnbD9zIIbuN5abb72Tu4rao3j1k3/sYXkFRp2i3GnBrB9C3qYmp8xaC8nHtrIlOeF1GchWFJRSN2TxNVQVTX120yNgeVWkXpePcP1oHhEN3id6h9F20NNfCcvOmQ6BfiHkiZd/Vlo2yU2Q6F3LwVhtw27WX97rt/7j9B0q3Lr30UtZdd11qamro168fu+yyCxMnTiz5TD6f59hjj6VPnz5UV1ez++67M2/evJ/yyH9W+9nA+t5772XMqssxuG+f+MVwUlUKrTUPvfoeO2++Ptc98iyjBvVj903XTYBrYoJKhh6TYeMKNb89PCspS74bEtaiiV8pvulyGJnxyYbp0gQwR3XOFULS0d9BXXQIFtXSZ7Uqj/VqXDyleX+R5PM2QWtRxeCcqKXu1ZILhPCzFUDcLAQSjPnewDVZ81wJtAMrAf6kp15uP/SDStZll12rklxzYnsRKzz5KDtHJePrJeLSI92ReD58j+3ZasN1Of6Cy1m4YGHlUHhi0ohLynxMZyqzz5BMVrSzdFBLq6qj6KdIWy4N1mJqZBsZWSAlXdLSlExlVQf1bjMN3bNpnjmN1156gclffoYudGN5eYzYSnz9dOLeD0u0QkKTDshuodqZQNOtctiYntUWXiQTGvasFiJWEgvLldZeYzXAyLL2SEuE16tC9KE3Kz+fSea6JQXH7rU9c+c388V3c7Clh4WPQlLUKTwcXEz+vTXdl+50HW2pBhYtWsxX389g1pw5DO7bhxuuupw77rkXOzxfQa27RLPGyIFccNSB2JbFnXfeFRxvwIAXgrTqwsMmLfJktJGk7dfUB19pZrcV6HZq6ErXG20E5WIJD0cEeWipcaRPQ66A0lDlFJBC4Wkbic/izMDgOuqSRaiWVuAph1wOiW9nohJOHTgwaAVhRzrLMWH0gHcjtEb7HjvvuRevvvcRs2fP/lHX499uYenWv/r4B+yNN97g2GOP5f333+fll1/GdV223nprOjs7o8+cdNJJPPvsszz++OO88cYbzJ49m9122+2nPvqfzX4WsFZKcedNN3LQr9eNX9QqIJiZG++Tb6cyccZcNlplef7y3iecuvf2pJzghlV+KQgnPeIleNlLtCgEr43ASjAhznRtPA0jU8WegFXu6WoVg6LySl4vAeAAwGssn9WyBTaqyZPG56OONH9vd2gumkVCxe2XA264r/C1xHvRGANvrBzMe7XevOzykPg/6U1HVukHt6RrpXVFoDDfK11klVgyXB+CuyoFvXgfZtIef85v8Tyf8666obSJijDKaDqsqw10u5W0KThVFJwcnpWK2NcFK0dBZClqh24vjacljXIhaa8Lx8/jUKTRn0+NtxjHL5Dy8zheNy/99U023OMw9jn5Ajbccxzn//FWCsoyOdPEtVTSiXJ4YfjbAKeMwqxhDhYgJzoRmBpuC5+UzkekMgsfxy8kxlFAKp/VVjY1zJ99/V18ShOec8npCwE7vAcjGNfR96JtJKJjoVKd8D0e/ctrNDTUM7B/HxzhBUCngrIti26VoVvl6HAdpi7o5utvv2PO4nb6NzWw1vD+DGqqZ+exW/Pq+x+T7+6OzlcsVqRpqkpxxB7bc/fDTzBr+lSEVljKw9NGHCaNiTQYdTWNsGwGDRzA7AWLcT0/aseZK7RgB+VcGbuIJTRp28MWikzAYs/7JuXhYr5TzNYn1PXi+y/Ugk/es4Z8ZkXXOdSJN5UvVrRg9NM5tLS4+r4nWWeHfdlwtdHcd999lX8r/0PW1tZW8igUChU/98ILL3DIIYew8sors/rqq3PPPfcwffp0PvroIwBaW1u58847ueaaa9hiiy1Ye+21ufvuu3n33Xd5//33/52H9E/bzwLWb7zxBh0dHYxdd9V4sgxLsIJJ5dE3PqRvQx3TZs+jOpNmz83XK/WmoKfnXAmwy/KsPUhV5eAQio4oH9dXTCqkGZ3JG8+jEiBUCLGWtqMsBero9VCRzHfJ6SIrprrZtKqdJunyZT7DO51VTC2mKOoKl0CXkstKjz3eJ2U127AEj7I3gI6++DMFWX7kCjmpBhZN7GUPoPJipuIGk7nv+L4Ktz+gTwNbb7gOU2bOjvYPoDEA7UsbL2BY+9IxAF3WJ1poRcYzoW2lJVoLqu3uoBTLhG/ru+eScjtJux3GU/PyzJ4zlwNOOJNfrTqa+y8+FYDxDz7JsE22Z4/jzsD1vCjCYPnFgJzolxDdVKRlr6NwqtCBsAcmxxt6z9GlCDtehd3cAps5y5yD6my618VSOShH50H5TJoyjdnz5pdEBQyx04/Pq+/xwedfc9U9j/HYy29x+pnnUldbiy0C4htG1lRrjepezMwZ05n+7Ud0tLfTf/AIRi8zgto+/fBSWaT2GTagH67nsXDhwoTkrxfLCHseJ+27E33qaznipDPwuw1hzxbGu1XI6PyEx1RbU0M2V8Xc+YaNHYbDCyIbMest4SOFImV5ZKwCUoAtDC8gjRE86k7VmnMWXLNKBMFkwx3jQZtFmFQeWlgmxRIuzgLPWts2n06eCUAmk+GOm67nZyzm+eftJwyDDx06lLq6uuhx6aWX/qghtLaaOv7GIG3z0Ucf4bouY8aMiT4zevRohg0bxnvvvfcTn4Cfx34Wgtkdd9zB1pttHHvKQejbdNnSKK146u2P2XHjdXjwpbfYd8v1qUo78cQbep0lpKg4j9eDnRyY8JcUUi77vO/zvZujVvr0lS5CBfsNCGEl5VEVJrAoBy1LvVFNUpvcL/lMSvuMsj1G2HnmqTQzvBSTCmn62R5DnCINlm/u0wo51xJBFBnWbPuVRVESTTdKWkn+lPZjcko/FPEImNM9ytkANBXzxuba/8hjqnCPJLe5oKWVfn0ajddaIcQrtEZJCz8pUqNVUK8blmwpXO0ghaJ/upmc1470jXxs2BAjnKwtYWrJ+zY1kU2n2WTNldl+w7Woq87R2tHF2I3X5alX3+GFDycwdrMNogldBh3ZdKBJGYbhtZAUnVxExlJC4qgCrkxjaS/K1TqqgNA6EvrIO1VYOojGaMUzf36RlZYbxZqrrFiSk+/5GwzOgfL524Rv+NNr7/DcG+8zeYYB++ED+7P+Giux4Rors+pyI2msq6Wxpopps+dxytW38uEX32BbFtvvtAu/3vFQPO3iCPNwPWhvW0DLombcYoH6+jqaRq5MNmuiFkXZSVp1UbSy+NKhRZljWdzSxrCmBjOuspLHxozNA5ecyq8PP5U773+YI35zFAAeDo4uRI1RHD9P0cqihWBk31omTJlFn4Z6rHQKX9ZjCY+iTiPQZOwiBd/BEj5pWaAupSn4KdNmVJjIgCdTdOWaqGqfQzFbj/CNk6IsJ7qPLN9UI5RUGwhpFjiBcp0WlmkapJU5NiE5ad+dePqND3jtb5+RTqd5++232WSTTX7c7+HfZT9hnfWMGTNKSrfS6fQPflUpxYknnshGG23EKqusAsDcuXNJpVLU19eXfLZ///7MDVq9/tLtJwfrlpYWnnz8cR674pz4xRBELRPW+eDrKcxsXoQUgjkLWzhsu03jz5aEvIPJQqlSIZXwM+EN8UPeWwVPvF1ZzPTSbJhuDcJ15j3heREQCTD9r5OgnPw7BMoywC6xCjXaEs1Ax2VAyqPTl8x0HT7tzpIWmiFOkYFWgbTQJdsv2W4ocBKOp3x//4yVTcw/qBpWgQTzo6zC+CqyielJXELRg7RkNqB6fidcLy1h0mhe1MKaqwz8wSErYWFpFXjcTkk3qw5RR7fKkLO6jWcojBiJEUMxHpEEwrWA0IqMUNTXVrGopY10yuG9O6/ggb+8zsn7GzWw/U86h2fv+CMbrbMGQvmoVFXcj1oauVHXykWTvW/ZCEvHYftgZyFDPF64iVheNJAtFULQ2dXFoH59kRXC3uWpoe7ubs744x3c/dSf6denga22+DUXnrExuquNdz77mg8//pgnXnoj6hke2uhlR3Ln3fez8Xpr0OkMoK2YpujbuH4rHS3zaW1dRCqVIVU7jH6N9WQtHyE0Fi5F7eBjRaVpSqTYYrtdWe6GGznmspt46YYLqcqkomtessB1i/i+Yt7CxVFkwSbh1QoLhEXG68SXNjKdom9jPXPmzKZ6+BBU2MUMRUYWzP5l3PDDFh7SUkih0FoY4RRRRUrk6agZRDbfUsYKj9vAmiidF6noRTrzXhFhl93jgdOw9iorsNzQgXw3Yw6/3nwzbrvttl8eWP+EVltb+w/XWR977LFMmDCBt99++2ca1X/GfnKwfvjhhxk1YhhrD+sLviFvoJXJVQc36RtffEtVJs1LH3zKVmutRHfR6+kFhf8LEiSxnvnHCMzD75SHP3uxb90sQ60CVVLRY45KhpHDv6MwvozLykKvO/L4Es+WFYNqGHJMCoxgfqxVlmK0zLOc3cU8z2Gml+bbYoZG6THQLtLfKmJXCuX/SAsjBBXZ5EsAsh9inwP/NGD/8HYreM4hoCtiIlrZtV4S4FfquT1/0WLjWff4jum6pKSF0hKEAQpf2lHrSTNZi0gTPiRrhcSizyd+cfF1DQABAABJREFUz9SpU9lm841IpzPxZ3wP6RdYfYVleOSlNzhpv50YPqAvZx+yOwDXnzyO1fc/kb2OPZ2pLz+MXd/XgH5InERSDIhJvkwZhrOQJZEBLYTRs9Ym/5kiHy0eQlU1AMc3+T+lNa1tbZgWoqXnPHktFre2MvaoM/l+xmwuO/8sDtxrN0QQggcYs8PO2KpIe2c306ZOoX3xIubnTSRijS33JeNYFITGKi6me+Ec3I45LPaLVNX1oX7IWtRXOzTna+nwFFJ2kRUm518nXVxMWNjTZgHkOIqrrruB/ffei4Mu+CNH7DSG1q48Y9ZdlT71dWit+fuXE9n1rKtYZ7WVOe7EU+hyaoOuZOG5UFheN0oaMRsRLMj6923i6+8m097eRlV9E0Jr0robTzh4OFiWj6fN1JnTHbgiZTgEWAhhwup5uwpbFXHstOlVj4xTcISSwj6+k4nuXamMo2C6ABbQgQJa9JsQErQfdf8bPGQIDz/0EDfddBM1NTU9fzP/KRP/OEGs4jb+CTvuuON47rnnePPNNxkyZEj0+oABAygWi7S0tJR41/PmzWPAgAH/2lj/TfaTg/V1V1zKFtvtQI0OivaTQBV4x+9/PYnOfIGuQoHp8xbw8sdf8eqVp7LhSsv23KBKeOVJi4A4ANtKHle5BRPPAt+E0VZNLw4ApyzUHYFqhdpknQD3iq8Fz14FEIfSMYYNNLTGAgbZRQbZRbqVZK6fYqqb5qtijn6Wy0CrSJPl9t6TfQk/jn8UqCt+r1JINGRuh8dVwtJOMPiT/yuFkLIiAefH7N801DBazUushw+HWXac4X61UjQvaqVvn0YTcgyJUMQNRYCg37SMaqzDdo8WHp5wsPHIyAKudrBEGt+xueO6q7js+psBaGqoY5+dtmPrLTdn/bXWMCVGWnP1mSew0T6/Ye0DTuScw/bkkO23xJaw7OD+PHLRyRx2yXh2OPoMrj73d6y40kqmBlf7eFY60p/XQka13XGPaBMu1drUXqvQIw3OQ8iMjrpiKY+9dtiacSedxQ33PcoJB+8dn29MyDu87qddfRsz5jXz/GP3M3qFFfCCTmEhWAO4IkOmNsPyqzfiyjSuSJPXGTrzsHjBXLrb5lEsdJOtbqC633ByNQ0UdZqcVcASPrZU9MsspsOrwhUmvWDjopCGHKYllvBxtcNKK63CzTdex6FHHsML738CQC6TZsw6q/LppGlMn9vMqisuz7133kq6rrHk/rSUa8A5qJ8Py7qk8hHSZmC/Psyct5DRNbXIhKpeigIuKWzhYQlzfk1JHKigJEwHBXNaSDw7g+12o+2yyGBAGERrLK9glA5LdBZUTJJM3MvCL7L+qqOZMqeZ9vYOauvqeeSRRzjiiCN++Mfw77J/ovSq4jb+AdNac/zxx/P000/z+uuvM3LkyJL31157bRzH4dVXX2X33c3CeOLEiUyfPp0NNtjgXxvrv8l+UlbRF198waQZs/jVOmuz7dl/ZEbzYrTvG686QJnFXQVe/NsEAPbcJGaLb3vmNeaPCmSMnh51gjwWqouVh7orkcSCtyZ6VSxjd5ESCQ86qZ6T3GclElNJudE/EIIP/1d+3O6zQulWVipGOnk2yrSxfrqNrPD52s3y1+46Pi/kmOs5eOFmf2SZw48pd1oiYSv5fiWyWqXj7OWalHTo+gGiWCXCXJgDnjJzDg89/yrfTptZQrQJ84AlQF02gcxf1ILn+/Tt01BxnxCHjcN2kim/m5TXbcqAtMLRRTKqkyrayclOvPZmHrn7di67/mZ+d8he/P3h8ey+xYY89uwL7Hzw0Uz76jMsL49vZxgwaDBvP3QzW2+wFidecyfbn3xRFDrecZN1efGP5zJz3gI23edIVt9yZy678hq6Fy/AcbuiMDYQs9jDsaLN+ESsT25qq4MuTpgQve3lo85du2y5Cb89bH8uHH83f//8S0oIjlpTLOR55PlXePQvr/GHs05l9Aor4FrpEsKd0DpYOAg86VCwcuSLLs0Lmpk5+Svmff8B3R2LyDUMZujy61A9cHUyNf3o8KrodlP/j73zDpObuv7+50qatruzzeveewFjY0w13fTeQws1EFri0FtCTwid0HsvIaG3AKH3ZoOxwca49+7tUyTd+/5xJY1mdmZ3bQh58v44zzPP7mikq6sr6X7vOed7ziFmZIiKLHWxBqrtVcSMLI4ycTGJyAwRspjoxDGOsigTLcTdFibssDOfffA20956ga/f/zd/OOYQlta3sMsuE/n7Hdfzz38+TbJKFxORGF6Zy2hQL1whgsxxESfjjZmkpqYWYRjUr1mtrRjCIirTnunbJk4q0NL146WzxEmPMCq9eHZT2m0WtXmEMyFwrVh+XLZvOQq/O8JAWVEwTfbYalMA+ldEmDBhAn/765+Lvjv/l+T000/nscce44knniCZTLJ8+XKWL19OKqVTzFZVVXHiiSdy1lln8c477zB58mSOP/54tt56a7baaqv/cu87Jz+pZn3PPfdQXVVN1nH45Pv53PXah/z5iD31jz6JImTSvW3SMWwxchDn3P0UO2wyPAfUhVWlwppumIQmPTOz7x8rzP1dBACWuDFcJehnpouYzX0zt08MKxF/G7oe/d3I9aUjKXhR8/pZBESThkvSSDE0kqZBmqx0I8y2E0zLllNrOHSL2HQzHWLF+gq5sTRCY9iZPnbWDFXCZN2eBBpzgT8UcibykulPlaS+OcV1D/2DO59+laytAadHXS2jBvenPBGnLBale10tE8aMYusxo7Ask5ZUmlg0SkVZnIhlccmtD1BZXsaWm+iCCLkEHy5CeSZupWswG0piuhlMV2tfppvFseIBaJvCYdnSFRx1wsl8P2c+h++xI3866QhMJDec9RuuPv0YBu9/Ek+89AaXn3E8hptBCZPePXtwxxXnc/jeu7LfGRdzy3P/5sxDdgdhMG7kUL594mY+/GYG//psKnf+/XmeeOVNfn3Anhy4714MGjo8YKrntGqfVU1gqlfCCMKidGYwj7Smcil0hZJccNoJvPbuh0w8/kx6d6/DcVxGDRnI3MVLWbRsJVJK9tplR/Y/8IC8/Ocof6EgsIVFcyZDQ9M6GhubyGYzlJUnqa6pweo9gnjMICsj2FL71dNulGQ0FdzaiMoQJY1rWLQ4caQycE2TmJWmwq5HCpNWo5yEoY+xzThCSaq79Sbm1mC5Wc448xxOOL8SW+nCG1IoUmjWd0RlgudKoH38ljd2thnXmeC8POIYJj169GDRosUka+uIGC5RN00W8GcZoaSuG65clBHFUjaOiGCgrQEKXUlNWLqmvW+xySOU+e4b31/tbdcWJDMwfaMkymONd6ksB+CICWP4uCXO888/z3fffceoUfkFTv5r8hMSzDord96pLVk77rhj3vYHH3yQ4447DoCbbroJwzA4+OCDyWQy7L777txxxx0/rp8/o/xkYJ3NZnno/vvo238ALa0pDCFYurYhZ772/Le1FQlevvL3DO/bg2Q8yjl3PwXAuYfsngPqsPlYSu9/76EFcJ18UDcMvQ3amp19UQpXwWynjOFWiybTFAK1UgQMbiiyaCgwCfvm7/bCJ4qdo5QUM8WHmqk2XapNl2GkaZEGK90IS+0oMzIJKg2XOsuhznSoNNycubyjghrh8/rXFPpbmIK0U77sYu0XXk8hy71geyl58rV3ueDWh0mls5x90rEcffghTPvuez7+9FPmLVxCKpNlbVM9H06dwS2PP1e0jVg0QiZrc+dlZ9O9Wx2qwNSo/1H4bmBDuaxesYzX3niTl9/+gE++mka3ui4M6NuH/n37MKBPLx7953O4js3nT9zGyIF9PY3LYPJ3s+jXtZbDdpnAk6++zZ9OOQYLEF4BD2VG2G6rzTntqIO58p7H2WGT4YwbPkj3MxZj4vhNmLj5WCb9al/++vAz3PP357juvsfZdOORnHP6b5mwyx5BAZCsqcOaok6KdKQCAEtmyRgJDLQ/1hAulpvxtPAcQMQtk7/98SwuvO52vp4xC4C+Pbuz3y470n/AAAYMGMC4zbfAtsqChQFAWho0t6Robm6hsakJKSXJZCVduvUkWVGB8oDdIoutIggsKiNNpKXeHjOyQVsZkcBWEeJmClMqMq5JxHBJqTLKaMRQLuVmM4bHyDelgy1iCGQQF+0Ki4ibQRiKVsoppxkAKYwgcYzvm9Y5wzWTXgkdNpWNlGF5i7Kq8gSrEgnWrFpJ/y7JoM61oSSOEcm5H1AgNQcgG4kHWeIi3jgrw0TJ8HOl5yhlmDrkzNecheHF/BcQbL0QLil0prZoIqGv1XHo27M7SiluvfXWALD+6/JfMoN3JPF4nNtvv53bb799Q3v1X5WfDKxfeuklbNelpraWiAH7bzmauSvW8tHMebw2dRYn7rI1A3p1A9dl4tgR+iH2Joqq8gTbjx6aD9S++OZTx2NwFpaEFCLHyA6Dd5Gbt9BNEBOSHkYmv41wu+2ZlF03lzZVtTVf6/6EtP+wH7eANV70YfSvvXBVWWTfckMy0MgwMJIhg8kq12KNa7Ewq2sX15oOdZZDF9OmLKx1h8G4zflLaNS+qY8cizXv5x/xYnYEzoVy42PPE7EivPvKI/To1g1pRNhpuzq232GHIE+3UDped9X87/nq66kYhkEiHsdJt9KcStHSmqK2tgv777krtseK9gMWpLCQHvteCUHESXHvo0/yx2tvwTAE2282hot/+2vWNTQyd8lyvpk2jRf/9QZ9enTl6Ruuom+PrsE9v++51zjz+ns4ao8dOP2QPbn3hTc48eKruffSM4lWVAbjKs0IF57+Gz6ePJWJp/+JK089mtMP2iMI1wHo260Lt597MjdOOp7XPp/Knc+8xjFnnMWFp07nN789BSOmJ3CFIGOVEXNaday4ESUq01jSRgZmclenuwwtxl579wOOOPMSKsvL2HmLsbz9+decfuzh7L3nHjhmLPDtCruFhoyksbmFppZWUqkU8ViMiooK+vfuSaK8AkyP3KYZAHqhgPY1V5qNAFR676D0nikDSYY4trJIu9U4yqDM0qCZkVEWiYH0UfO9Z0ZiKokjIkE6VYXANnR4lSltIjJDtUpheqZ+P2wtV9WsBeXfeyOiC3BkWxBKkopVBalb+9VV8f3CZXSrqSQmHB1vj2e58F0tPivfsLCwMXFI2E1Es81koxXBs+uTynRHRM6E7uWFF942RY7TEX5PImk9dsmEJiyua2wk0iNKj+ok9917D7fccguRSIT/umxABrKibfwiefKTgfVzzz1HJmsTi8Xonizj01nzGd23J/v95V5aMzbzVq3j7tOPoDwew7FtkgdNAuCNv/yBcYP7tglvygvPCtdiLpTAvCtCZuy24Uy2Esx1yxhjNmjsK9wnfGwxH7WvuRdidOFDVcqP297DV2gWX0+J4dInougTsVEKGqXJGtdimRNhRiZOXChqLYca06XadEgI2blTlWLfF0iYcQ7kYrs7sehYXzn3mIM54fKbqW9spnuPnkG8s/SSSvhanxDQfeBw9howJNjmJwLxqyBlPYKWa1hkHANYRkO0K8JLQhEhSzK7lo+//Ipxo4bx9E2X0sUvShMeFs+U6cf5CiWZPns+f7jubupqqnnry2+46/xT+PtV53DMZTez/x8u4+G/XEC3bt104gzLIFZRySuP3sVVN9zK+bc8xJuffc2mwwbR1NLKmUfsR+/udQDE4jH233Y8e287nnP/9iBX3XYfGdvhjLPP09cWlOs0sNwsiUyDriDlsbY/+OgTHnjoYdK2w9qGRnrW1fLwXy/mguu1OXD/idvyweRvAKipqcHBpCHt0NLaSGPKprmlBcM0qCivoEttLTUJi0g0StaMo5TAxQSlw6NstE/YxUTXrpZBeJvvPzfJmfCTch0RsxxlGDS6SbKuRcy0sYRLudlKE7VYyg4IbUrEdDWxEMnNt4z4udJ9rVkpg4ib9jLS+YtOFyVMLEdXKPNTt8bsVm0SFw5mWZxkRQVL1jQyuFtVALBGiGfheuQ/JYygDrZrRBDSJZZuwIkkPFN3W9KlzjcfsixJF2XmiJRBwjghcGPlWE1r2Ghwf/r36MozH05h32Fbcfi2m3Lzy+/z3nvv5SX9+EX+/5KfZPmilOLNV17i6O3HsdWwfmSlYtnaRpbXN9Ka0RrxMx9M5q2vZwDw4Js6vZtlGmy30RDK47F8wAr+LyBZhMU3tRSaXIppjFIy34lTKWy6kM4BcjHCVPC/Cn1K+5TblrgMfYrtG76eUvsVSkCw6nh/IaDKdBkUzbBFooWdKpoYEU8TQbEoG+Gjlgreb6ngm1SchZkIja6R32ThuBQD7GLnLWbKLkUcK5LTvbOSLNcaZEWyMiAK+UBtKgdLZoOP6ZWe9LUpXwzp6lSgbgZLZjGUzmwFWvNSyktugc5ctnLNOoYN6FMUqLXfUgWsft//+OI7H5MsL+O2Ky9k2aq1zFq4lL0njOfVmy5h9qJlbH3073nvw08QXvYtQ7lEYgn+fN4knr7hT8ycv4THXnuPO599jd0mXZ4/doaBBdw06XiG9utFQ0MDhnKJ281EZCYAI0O5QU7qpYsWcNixv+Gw35zOilVrqCmPk02leP3Dz9nv1PNZsEQnhvj6h/kcfujBPPXQvVT0HcYXc5YyZ/FymtI25RXlDB3Un7GD+9K/Ty9qa6oxYjopiyVtLGUHIWQ+UBvews0QHrBhBWx2v49+5TFL2kRlmrhsodqqpzLSQoXZQsJIUSabgmxjPpEuojKBWdvf5gO/DL2rShiUta5GeVnLDKlZ9f684Y9T4Cv2CF6+mbxXtxrW1DeSzuriHqbUZUv95ytuN+eeBe96UpGKXFy3UyRFph+KJ7yEPN5CWAkRFPkQwTuoM+8Zdho3kSRipzntwN14a/psUIqz9tsBIeCZZ57p+AX6GUR5TPcf+/lF8uUn0aynTZtGczrN7ScfzIwGh+lY/GHv7Rk7uA/H3fJEsN8bU2aw31ZjeWeqroZy5TH7h4AoTO5SRUK1QoApRBGNNow4+UCQVQYLZBnjzbX6HSnFLi8mhYSyUoSqYolbCs3zUNzc3ilimir+fygkqo0rAIig6Go5dDM1GLkKGqTJOtditWsxOxtHoQG+0nSpNPTfhAjF3La3WOmseD7cwtC1cF/bE197/37+YirK4vTs0QMnVCdYJ/nQTOhAyw+dyjeDgqd1SQdTZb3jUnhYQly2gKkZ1EJobbwqWUFDU3PxMLMQSSt3nTCif2+aWlqZvWARAJGIBUKw5ejhfHL/Nfzmz7ez31lXcvJBe3DhGSeRrK1DCIVrRdl54kSm7zABIV2G730M85eu4MDzrubIPXZg7+23IBGLIbx73aOultVr1hKzvbKLHmHKB+yGlhQffPwp2XSKDz6fwtB+vXn22gvoVl2J47pc+firfLt0DWfssAtbjN+Myuoa4hGTZDxGWUUZfcqTRGIJlGFqkEIh/bSlHjDl3aciOcIdZZEQrSgMHG/KicuWYNwcQ/c7a8YDn3CEDGVuI44ZDXzIFW4Wx4xiSifvfvogXbQfyiWaTQWLFj+WWYkEKIUlNdE0km3FjpYRyTRjGJGcX14pagTUVSRYsqaBYd2rctetFCqUKCfqpMhYZd49sFhTNZDahvmBLzq3GMj5rzXr3s2FyAlDJ0VxczHXAMqIoAwwbG0F2H/7LfjH5zNx0i10rapkZK9uvPLKK22fz/+GFHPlbUgb/59IOp0mHo//6HZ+Es36zTffZLuNhxK1LO595R1qamq45PDd+dWETfn49kuD/b6aoyeu5z6aAsABW47WJm7XA2j/bzEJQqtEgelb5YCxUMP1ZJ4sp4Ys1WTbaqmd0WwDMlkJoC700RTzhXdW2gur8v+W0G5LnSusVZoCak2XwdEMmyVa2bm8kc3LWuhhZXGkYH42xkctFbzTXMHk1gQ/ZGIsty1apchj8rcnxVbFeeVEOzvuRdpsak2RrKhA+BoJGnxN5WB5KRyD6lTeOfy6yICXTMRCGhauEcFyM0SdFDFbg4ehJBE3TdxtIWE3s2jeHGb8MAfpFjxbHVzD3hPGU1NZwV9vv5/aqiQD+/QMnpHutdW8cN2FXH3a0Tz+6jtsduBxHP378zn97AtZOOMbTCeNNCIoM8JnT93FjX86h/pUluMuu5kh+53En+56nMaWVlCKwb2788OCRfgpU/0xcYVF1kpw5733c8IfLuDNd97nwjNOZtDIjXls8gI+aYzwbmOCnfY7mL1335V169YxuK6CLftWs1m/Lgzs1ZW66ioS0Qiml0LXD9UqjO32yVSgQdLw2Ne+LxnwkoVILBzKnYYA5E3pEHXTGEoSc1p1aJSbJeqmsdwM8WyTFwKlrSZxuzn47odOhRcMPhBabhbbjKGESTZa4eXaNpCGRTZSrhPfeOlgHUunGo1kW71Fia1joxE6AkAI+taWs6aplXRaM8otO6WLuRhmLte69zz4z5oUhleoIz/HQjh1rZCOrl3uF24xI2CaGHbG2+ZV75Ku3s9LiNK/azVDB/Zn7Zo1IASHTRjLokWLqK+v79T79Iv8Z0VKyZVXXknv3r2pqKhg7ty5APzpT3/i/vvv36A2fxKwfv7pfwCC1qzDcx98gWEYiIheSWSbmwDYZuOhZGyHOctXB8cN6FpbHHxKZf7wgToMyoUm1XA5RqXISMEiVcZgo6ktOa3wmGLngxzIFB5bCKyFC4dSpuR2rQK0BeYCra1N/9ZHCq5TCKg0JX0jNhvFU2xd1swu5Y2MT7TS3XLISsE8D8Dfak7ySXOCaS0W89Imq7KClBQd4m7Rwiiw3oANMGJgX5atXM2KRfMCgDCkS8TJtCk24U+SmhwVMosiyFqJIJTGdLNBWFbUaQkqU82aNoX9j/ktiWiEm879bcn+tikyAsQTce6/+Axi0QjdaqrynknQj/jvD9mTrx++joN32BIyaT6Z+h27nXQeDz39MosWLkQaEcq7dOfYQ/fntYdv57HrLmHrcZtw06PPMvrw3/HkWx+z47iNmTZrLlO+/R5LZnEVpFIpmtasZMmK1YydsDN33XUXR586iZFbbMsO22/HJoN6MyjuMiGZYceKFm698Xq+/eJjhtWVEYl6KVI9H6w/lr47QSGIuiksmQ1CwzJWWRDOZZJbFBnCJUaauNAuh6hM6wQnIb+y/msHwBnPNhHx6lf75404KU3MUgqF4RVJaQ7M0MFz4JnTHSOq7y+CVDSJa1ikYlUBYPtlKV0zimtEte/a0NneXDOq60t7DHuASLaVclPSNZlgUX0KU2Y9Td0hlmnUmrEXXRJzWolnG4l52Ruz0QqsTDMIA8PjvYSrg/latQgWmDJIliKki5FNY7g2ZqY1731XhsmIQQNYsXIlKMWvd9Q5K1566aV235+fRcI5K37M539YrrrqKh566CGuvfZaotFosH3jjTfmvvvu26A2f7QZPJPJ8OnnX3LRIbtw6HUPsbaphYibJSUixMmwcfcaDEPwxcy5jOjdnWQ8xsQxw7nk8D2Lm1eVBGmAUYKZ7E947RXtCJmG56sktWSoVpnc8ZCf6zvcdvi3UJhF8D04R0HfZAlALZQO85iXaCePrGbm96+YFLLP29GKCxnZhuf3rjJd+nrkUhdBqzRolgbN0qTRNVhqR2hNaY54uSEpMyRlJiRMRZmhSBiSGApl5KqhqbCJrNCE3wkZ3q83AEsaUnT32gsqUEFeIhPQPkDbiAWTNOTMt7o6FqCywfGvvPEWL77xDpOnTmfpipVsNLg/L958Cd271LZ/bwNtSaGUYpfT/sQn02ZiGAZr6hu58ckXOfuI/YJ9/cm5V10NN//heADW1Ddw/F/u5Mxr70AIePa2v7LtNjphw8LFS/n1eVeilMKyLKKJcu585UOuO/sUzv7DJD78ZhbrbINEeQWmIUhEIyRiUUYO6s8fL7+SH2bP4dozjuaUCZsQsyxwXYTUY3TIxAn89ZFn2O7I03jhnhvp0r2HZh+7mcDcLIUZFBZRiCAPuT+WysucFpDb0P7eiJshIgxijgYv14hoQlYoptiQOh2n8NuB4HnXaV0JwFt6/grDtYlIN8i/HnXTOq7ZjAb99fOkx2QrGNoV4ldUk4ZJxMkQsVs081qpoPqVEy0jkm3BdHJlc4V06VedYPKitQwqV1jllVrDd7O4ZlQvKKQGfctOETUiZM0EjhnFiVUElqUgoiJk/QlM4x5AC/+9dnRCFeFFwhiOXlDKSBzDTtOtWze++/4H2LiWXl2q6dulmldffZVf//rX7b1C/3H5KXzO/+s+60ceeYR77rmHiRMncsoppwTbx4wZw8yZMzeozR8N1p988glCQI+qCt6epuvh1pJlnZGgRmYoj0boVlXB8nVN1CTL6FZVzsuXnKoPzmNOF0yEUmnADosK/9ZO+kzvRc9gsIhyNmdV244Xkr3C8dmFIWBhMAlr27647bRVDNTXJyyhGLGu1O+FvxXzmfuHFcRMtwmhKli4mCgqTEmFKcHTnkCH3rRI/WmVGtDXOSatUpBRBiaKhKEoMyQJQxEzFHFT6L8GRA3vVnZyXL6duwCAXt26eglMfC3aCMy0Uhi4ZiyoqpTzZ+fXrXY8TcuUWZTnfjnniuvo270Lh+22HVuOGMTELcZQnojnxWJ3KFKycm09A3v34B83Xc5Tr73DpXc/wdYbDWOb0cNKZpPrUl3Fi9dewLrmVk6/5TGuefhppsxfwT67T+TbJeu47LLLGDNqBMqK4jgOy5cvx4mV86tdJvD6h59yzXXXc/qxR7DHnntgeUQqaZicc/rJHHfK7zjt6jv45MHr6FFTBb5vX7pcfMyBbDSwD0dechNLli6ja12XINGJKR1NNfAARSFy8cO+idvjm5gyq2O90abpRLYJJQTJllWky2r1uHvJZkzpeIssj4TlpgPN17HiOqzK1+ZFrtCLIR0vNlmiDAvLzeIaVmCW983flrTJWGUoIUhFkgEBMea0IlwZ3H+BDEzduoMK14hCFKLpRs80HQUJZQZ0r4gxt1kxKpbRY4gIrBB+G64ZxXSzVKTXYFsJHCtOLNMYsvmQGzfvWfQL1Ghrhl9NL1ywR5vBwyFddb36MOXpZ2GXESAEfz1mXy594tXOP6e/yH9MlixZwpAhbdNnSymxbbvIER3LjwbrN954g2gkwotffgfAvb89hFrZwiozySB3LUpJMrZL/+51vD99Nl/OWsD4If38nnuAWIJxLEvEAwsj59suBO2Qtr6QJDVkqPKYvkWBq1BrzmMyh4A3VOJTt18ilMxvo9TKsBixrND/Wartjogbxc7bnh/by9PdRjrh+wYN+AaSpAlJs+0xLhrAUzL3t941SNuCjBRkvOZiAuKGImZA1ISIgKihiBoQQRI1BRGhvz/26rtM2GwTetVVY0gbV0XzQMP1fNF+AhBTOUTtXFpI0NqdT2ZyjAgqmkRI7a5xXJcHLj6djQb0Dl2Ii18ZqVNkOCE4cf9dufSeJ+nXszsXnXIsDz33Gl/NXcJGI4djS0FWmWSV8P4XZJQgLfW4OJRx/OmTaGlsZO6ChUyeNpN19fV88vFnRBpXcMROW7B87XJmfTuNCRvtBYbLsF0347XXXuOSq69nyxED6NFvgO6uhLFD+zNu45G8/M6HpG0voVA41l5JUhmttQ3vXYeQLibZIK1pzM2SiVUG/n7lhYWZwsHxxtqv8GUoF1dYLJ33A1999jHdyiM89dIbNLiCR+++zSOD6cQfhsRj8hu4nkbsuyaEB/jhMpLhe6g85rQGe8tLkmIH4A06IUyrkQxCxMKEw4iTwjWj2F5VLd9K4NdSd40o6bJaYql1WOlGpBVDWjH6Vxh8vjxFQ10NSSOLXynLdNNIM4IhszgRHbFgullsS/8vnCzKyq8XLpRON6yv0YsDl04uVNXzVatIFGEYiNYmVDSO4WRpdSASL2PyV1NZ17QnNckKJm4ylGP+to6FCxfSr1+/Dp/T/5j8FGbs/3Ez+KhRo/jggw/o379/3vann36aTTfddIPa/NFg/cITjzCybw+mzl/KXpsO56htN6XFaWZWpBuu1E7xblUVDOjZjQUrVgeTQofmYimBItqWfxNLgbQnNoKFVDCOnI+8pOm8XfNmCADD2t8G+FvbZYB31HYYqEv1VxQsJnwppTUX/g8o00QU7lvoMvDraauCtKEFL5gpIGkqkqZv8sxfbEgFGQUZKUhLg4yELPpvsyvISshKC1uB48WonnzWBcQsk68WrsEwDSyjCcMwMQ2BZQiwIgjDwhQKDQMKE4khhKY8CAGGhWM5XliRwpCSN/79Dn2Gb8yNF/yePn370eBIvMRUuELg5+yS3jbp5ZmSXt8cqXDRfx1lsdEOe3DzRlvx2WoXJTLc9+BDKCn5ukUQFcpbfCiiQueCrxIQN2SwaLEEiOooN374Lafe+xT3/OWPDOxWxRW33cfCuXO4YdJxbDK4f3AfIqbBAxecwu5nXsU+J/yO5+67hb4DBmowFIJD99+bdz+fwp5nXMqfTv01h227GZaZux+LV63FMATP//s9jt53N1S8AuHFHzuRMm2GDpmmfbD0zdBZ4kRUNvBpn3f+BXz01fS858HwsnOZTgZpWCBUYDzzzeBC6Phi08lguDbSiuaZiRG6LrT+XYOrjFtIcqk8w/qrJWxsFdWx3l7CmOD587TUjFUWFGyxpC5uojXvGG55N5LZBR6Iu1TIDN0SBkvXNTOoe3XAdfAXsm7EY7Q7WexoeeCP1/u4ocVIKNTRC8tSZiRHxPQiJ4RUiGwGGY2B58MGWONYRN00mUyGbxetYNtRFVSVJdh8cB/efPNNTjjhBP5rUhhOu6Ft/A/LJZdcwrHHHsuSJUuQUvLss8/y/fff88gjj/Dyyy9vUJs/avmybt06ZixYQvfKCpaubeD3u28DQJnKElEu60QMIQxG9OnO61/qF7e6vMzzS/vac6H5uwhhzJdSQF1EFlFBkiw1+L5qN5+wVYr81ZGsT4xw0F+jNFD7WrvfdnsSirsMjg1r5Z29llILDcMAw2q7QCpF4iOkbbdJgNL20coxwj2TpoCEAdWWokdM0j8hGZpw2KjcYWylZItKh22rbXaqsdmhKsMzD9zBH/94Mb2TFgO6VNC7KkGX8hiVMZO46ZlqMymyLY20NjVS39TCmsYWlje0smRdMwvXNDN3VSNzlq9l3mIdPzxn8Qp+WLKSZHddTq/vJlswtTnC1JYYU1tjfJuKMisVYU7aYkHKZHHGYHnGYHVWUJ+FZgccqbBQlAtJreXSK+rQg1buvvtu3GWz2aJHnHPPnMSnzz3KDlVptkmm2bwiw5iyLCMTWQbHHfrGHLpGJElTEfXC5oR0+cOhe7HTuI24+Prb+NWhhzKwd09WNzS1GWOhFH271/HG3y4hapkccOLvWT5nBvHUOiJOin122Ir3//kgIwf356RLb+BP9z2FH9eLkpy453YcMXEbTv/rnez7uz/R0qJjh51IGXakDClMbCvh+fkdylpXk2hdQ/PyheDaWjsWFpbMsnjG13z01XTuO/c3zHnyRo7aYwcilsXzr7+lzcxeiFlh2Bd4oI0MTOvhghamV2gjB95SE8GUIuLo3O2+KTzipilPr8WSNjE0wAkUrrBwhUVrtDLwaQdVyKTrJZCxPC09g1CStXXDcuxsoF/SYnVjM1lH7y9Q3qLIwLTToRzfmoSGUigrimHnGPMov1iKfpeE6wGx9La7enGkhEB4KUllvFxvM03Wqhi9yy2iEYtvFiz1Bk+y8+ihvPnmm23f7V/kZ5X999+fl156iTfffJPy8nIuueQSZsyYwUsvvcSuu+66QW3+KM36nXfeIR6NsLallT5dqth2uLfSB+rcZlZaldRJm7JYjg1XnYjmNNzOrJ7ChTygOFCHw70MgYtgvkoymtWA1MHFeW2u56qtUFvtyBRa6rqK+ZsL84+3d1weq9r7v415PvR73qJAFpg+IQiF8/aXkTiYJsIuksShUNobg3ZMWHnaeHumroKFy/PvfsKjL77Bw3+9mGF9ugd9LhzTsC/V9yMK6RZ4C9GandfGJx99xCl/+CNPPvkkE6ptLPIXP24iibKiWM3rive7MMZXKbrVxpg+fRrfz57Dy2++y+Kly8jYdltuQAnx80WbJpy030SOuPRv7H7IkdrEvs+OeecNZ4/r3a0L/7rpEnafdBknXPBn3nzkNgzXwLRb+eLTT5izaAmD+/Tk2bc/4i+/PSJ4XGorK7jv/JM5apdtOOyyWznt0ut46NpLMKTOJR5U2DIiLJg/l8uvvp4vvvuBlWvrGTmoH78743S69RnIs48/xPOvv0WP2ioO3mEL4hGLO39/NCvXNXDN3+7gwN13Cupzh/Ngu0YEobzr8MheQnmgrRQIMNwshhvJgRx6QVPWtAxpRUFoc3pZujHwx5cZEUxp05johiMi2hqgLK/UpoMyDMqyDbotL/WoH47lWw5cYdFUN4hYugFLtlBhGdQkIixf28jALuXe/ZJY2RakGcVwbFwrHsR1BxnSTMvT2gsW6757rmAxmwN9kZszTRNXKla7EcaV2Ywa2Jep8z2wloqdxwzn8OsfQkqJ8d9K2fl/PN2o4zj85S9/4YQTTuDf//73T9bujxqR1157jbTt8PGMuRy0+UYYflIQqeidXccyqwoHwQffzaF3l2rAA+tCDdGXUqFVYQ24MA67yPelqpw4DnVuixfH7bRtI/wpJeFJeH3NMmGtumjbnQTq8P5hCWu7rlOcjR5o3kV+KyJGugWjtan9fhR2q9i4dHCewpKX+v8CK0GBfP7t9wzu15t99tw9t184zj58HV7Sk8AH6We28j6GaxPJtmI6GSwnzYeffUnCX1CGJkzhsXPNVBNW87pcuI108z9K5X0AIqbBuGGDuOjm+3js5TfZauPhbD9mZOcGtWAcv5m9gPJEHFdKrjrt15x60B55oF/4f6+utdww6QS+/O4HPvhmFtloBdlENWkXZi9cypzFy0il0jhO28XDTpuO4oHzTuKFdz7mmlvu5tOPP+b62+7mjjvvZtXKFQC8+c77vPHpFI7fYzseOO8k+tRWcdpZ53PIYYfx4aefc+6v9uLNGy6kzyG/47q/v0LEEIwc0IdsNoPh5PLyW3ZKA7OXzz0IZfJB2r8faNN7NlGdY1GHF19KYdgZzHSTDpPyyFgoRbx1DZF0I1Uty7CUvl6FQCqDtCgjS4zmWE1eyU8/fMo2Y4HZPGslsKPl2lTtOvRLRljR0Iotvf0NUxPRAGlEAuuB5aSxmtZoM7dfw91nfPvXGQbqsLXEtQOtWji5aJblaUHckFSRZczA3nwzf5k+1hBsMbgPadvhm2++Wb9n7SeU/+sZzCzL4tprr8VxnI53Xp92f8zBrz7/LH61k9/tll8TtEqmSMgsS1Q5S9c0MHZQH5asqac8ViLRfGFu8GLiP8xhgA2b1A0DBcw3kgx213qhKSXaaE8K2ebhB6czWnWx9ouZvkv4etv2uRSRrQQoduYa2+tfqT6szwvUwbWV9Hcr2VbrB+YvXUHPutrAFJpfMEUf67OLg4lekiOGkdO6TVzPf65Tdxy0x87c8dSLufMLdHicFyqjs0u1nUyLfg/J89ecz8X3PMnuW47lgFDt9lx/ilcxy2ayfDFjNu9Pncm7X3/HZ9NmYjsapPbYfHSbMKC8viiJkLDrFmMYOagf1952N8+O3xQlDD79Wrui9ttucx6//A+Y/vgX9Hvf7cZzyXEHccVDz/LXR5+jJllOOmtz1V2PsMtW4/h82gxGDezLZcceCEpyxMStmTxrHk2taTYbNYQvps9i4+MvAGBtk042s8voIdzy1Mu8P3kaE7bcAoB0ooZcBSwn0LINL50n5BYihnRxrSjSimI4Wc98rRdqYdKW4WR0IhIfGL3Y5ki6kbJIOa3RSp2gRShcZRLxyKd+Pm9dr1wncDGlg/R+92O5s/FKoq3rqI5CedRg9bpGBpQrXCuOCqw1nlnddTCyKYRSGE6W5tYU5Ym4F3op8ROe+HdfPwu5+6lN4G5gXRRKoVyXhTJJv2gWgWT0kAE8+dYnuFJiGgYRw2C7EQN58803GTt2bJtn7meRXwhmTJw4kffee48BAwb8ZG1uMFjPnz+fZavXBt971VSipAyF0Br0y65lQbSWfnU1TPGyl61tTlFXUZYPhuGVJeSIUuEwKl+M0DGQvyKVkpVmBS4GPWRz/nG+ubiUSb1dDbuAZAZFiG9+lqIiGnUpH3XQjwICl7+tlObdnm870DgLzN7+b35/2phyC1juhcC8oSvddkA7r4Z1sYgAlTtu963GcdbND3DCBVdy2yVnUV6WIwopz4cplMjzcWoNKUc8UgiklxoyrJG3OIqyeCzokwCUn/4xz7pSBJiLLZi8bbXJMu4856TiwyJE8Hf24mXsNukK0h75sjWdxXYcqirK6d+nVwDU22+6EYN61OWfO3jh8v8KFNeddhT7nHM1Tz/9NIccehhzFi+jtqqSu8/7LSb5VpfgXnjWsfOP3JeR/XszsEcdowf0pjGV4bF/f8hTb3/KIdtvzvlH7pN3PZsNG4hSiiP/chfPv/9FsP2K4w8CYJfxo9l4YF/uevgJttlqS6RXQMWQ+b7roDa317dwXW4/jllnqXO0Bu1xUYTjpRG1tIndz68NaIY1OjysLAsiqsiIBKbQbftFPyxpE3FS2FYiSNjih6mZbpZ4ap3mvqAXcP0qTH5Yl6ZveQzTSQeMdm29CZfslcyYPY+dTruEzTcaxt0Xn0GPHt2DfXWJXze4p8owMbJ2cC8CYqaS1NuKlDLoKVKAxcC+vcg6LkvWNtCvrgaAnUcP4bXHH+Ccc84p+uz9Iv952XPPPbnggguYNm0am222GeXl5Xm/77fffuvd5gaD9Ztvvkk8YtGaDcWMKeUBtp4wetjr+D7WnW233JzktG+YtmAZX/ywkD03HZF3TJ552ghN3KHJWn+XwcsSiA+yngV+vqiiv1vf1r5fCK7tAXX4t85oqWGgLqZ5h022fpv+NlEEqIt9z2uv4LdS/SsF1IV9K/a9FCO9s33qqG/hXYqcK9A2vXaP22sHFq9YzfWPP8/vjjqQzUYNy+1sRvI80nlhPqEFgTJMbMsHZW2ibGxs4uCTz2STYYPyrkX4DbanSbfpdDuWnHYWLd/NW8yKNfVccPLRJMorSMRijB+7MaNGjOCRZ17iwj9fz2s3XcTWGw3LP0+xdn3wxWDncRtxxG7bceFN99LU2MjlJx3GXr+7jIdefYdJh+4ZmPr98Qm3aRgGB0wYF4xhdXmCMw7cjTMO8MgxQnhxwHr/htY0u513Ld/MXshFp5/A+x9/xpTvfqCxNU2XZBnCddhs1BCmzF1K1koEIOwXWfGLaYJOeAJ45CyJCEcQCIGVacaNJhBCeOk6Q/HISoLKJ6b5YxNrWknUsHCr+2Ea+hwpM4mpdInKmN2MlW3F9tKP+qZ2y0npmuGujZFJ6X7EEnSzFHMErGrO0qNCx1Yrw9TkMFenNjYyKZrSNkdfchM9qpN8N3cBWx17Fq/ediWjhgzM3T/TRKlcshwMQy9A/G2WAsdmIUl6GSksOw0qwuBuGqDnr1ibA+uNh3DJ31//yXJSr68EpUN/ZBv/y3LaaacBcOONN7b5TQiB215SrxKywSPy+uuv05q1OWAbHTOWytp5pmzlOpgo5k39gtHb7cyYQX0BsH07vvRA2s8H7gNmoT/Zzx0e3q/Q3+wBfANRmkSMPrJRby8EgfADUMxnbYj2k62EpRBMOyJL+b5zz5fWblth8c2UpRjjhZp8UR9y50hNGyIdEqY68F/nk21C5JqQ/1coRdQ0OXLXCQBkHC89ZEHN31yf8rkGPnvYT0EZmMCFwXufTaahuYW7zj0pv7+lTHlFzMalL64YjyD3v3+NEVOf596nXmDu3PkM6d+HjQcNIIpeUCCgW00NhmnlAWypdsPfrzvtKHbbfBMuvOUhDjr7zyiluO/FN/PbKdbnQvHvk2nm/g+Nf8wyaUllqK4o5/V3PmDydz/w3FVn0qWyAp9EtXDpCvp6cacKgeWHNHlALZSL6WR1ApsQEUszo3XyEsN1yJR3QRqR3HNdQGgqXKiFRdoZ5n3xHtFsMxE3Q0y2IoVJWaZem+TNSBBfLpTEctKaUZ9uzEt8YjhZDOnQL6FY1KK0JcYLwTLTLZipZsxUEzKT4vTr7mbxyjU8ff4JfPG3i+hRU8kJl93It7Pn0djSqvOBSxmMp/BY4bl7oufBRhVhpYzRP5rzhfar0IvPJWsagm0jenejujzBxx9/XPxe/qfFD936sZ//YZFSlvxsCFDDBoK1lJI3X9WxYttuMhyAN6fPDn4PCj4Ig4YfptOlSxd23mknANY1t6JcV5su/b+hD5D7XuL3UrLQrKaXbCQS1FMOsbfzfKKyc5NuZ1Z3Ye24VIIR3yLgvXT5L2KJ/hTrX2hc86SzQF0CGEuev722ZD7oFJMAcIuauEPmVyVBhkiA0gk+vpkTJZm3VJdx7FZboydrYaBMnZTDB24jRPhSwsA1IjpJhecf9sszrli1muvvvJ9Lb76b4f160bdbbajjJUC6lHj9K1UmdO6SZRx31R1s8ZsLOexPN/HxtJn8MH8RC5ZpwtZeW4/j43v+wvF778T7X3zFQaeeS+9t9mTnX51IS2sa15VMnTWnKNB3dM9qk2U8dPGpzHj8Bs47cl/+NulYXrz6bOysTVOr1hIDk7xSOG2ezwKXiO9OCj9zwiAei/HcFZPYbpNhJCyD566YxPabDA8tfgSLVq+jT4/untlZBqFTQrpeCJYeR+2usPLugwiRRH3NGyGCQhlKCJRp5vzVPtB7x7zwzscc+8frOfaSG5lwzB+4+74HiKUbMJVOiarD0iLYkXLN4HYzRLPNmG4W4XMXlEQ4Wf1Mui7CztIrYpNyFU1pW19HJoWRTYGSZNIpfn3pzTz73mfcffrhDOtZR115jAfPPo4fFi5lq1//gREH/pZL73iElWvrQ2NqeKRRVwO4aaEUzMiW0d9KU6ayYGmATyTiJKIR1jS1BIqHEIKdNhr0SwjX/2eyQWbwr7/+mqzjUhaNcNwe23HOXX9nytwl7Dt2eEFyD8mk3bdi0suvsOPe+7H5iEF8MXsRx2y3KcjiQKhw8ycdf79i4Vb+NmGQwWS5UcHW9qK2+/kJVoLjOjJrlzBlB78X9KVUe0ExjyJ+6lK+b+Xmm8yLna+9fq6vhFMaQunJP1jsFPjvQwlSIDfxFwKXKtauB3BtmJ+FCyvv+7tfzyAasXj9oy/YrKGZe//+HF2qkuyw1Xi233I8yaiBa2mzn2vpWteu6dW8FgZRJ63TTzbVc+gJp7Fk+Up233pTJh26V1vfb4nxCF9XUAmssZm/PfcG0+cuprGllYztcOxeO9KrSxX/+uRr7nv5bbrWVLHbdlvzwlvvM3X2AhatWM2wvj35+pEbABg7dABjhw7g8hMP5asfFvD5dz/w9uTpXHLLvQAM6dMjd/7ws2Sa7ZvnDQukQ9+utZx/5L7B5kvv/ye3PPM6x+61I+uaW3n/q29ZvqY++P37x66nX7cuxZ+9NtYd/bwO7dODf1xyetu+hPglhqGBtSy1lkys0kuU4ltQci4DP45aCAMlcgUvgvzkwsxZ8QwrYGTr76ZHChRB1MQjL73Jh19/R8Z22G70MC752730qKnkoIMPwjWi6BzzVlDUxfeR+5Wx/AWCcGztF1d6kWFZJr2iLotaBDVCm8qVGaElleagc69m8qz5PHXu8eyz2ShvLBSj+/Vkyl2Xs2xtA698MZ17nn6FR198g3/dcRWjenUFIfj7G++zeF0T5xx9oGaAi3JalclmZmNuzG2dJrUmWc7a5ta8Id95o8Hc9e9/85e//KX4c/EfFMVPYAb/aWpM/dfkiiuuaPf3Sy65ZL3b3CCwfuutt+hVkyQRj1FuGVSXJ8g4IdVeSta0ppmzYi1bDOnLXn3Kmb18BYPHbsGaOd8ERLSwfzssbbZ7oBz2XWHkk6QWm5XUqDQVKlt88iqmHYQlBPydEsMoDaL+OaSbN1GV7EuhP7loVa5O+M47YmyXZJUXMcsXy4UeBmz/t4KxzNOyw9o35LGf24B5G196W3BftnINtuNy6S33kbUd+nTrgmEY3PWPl9hjuy156uYrEdLRZkWgtaUJYUaIlCUxDEunsHRszrnkKhYvW8F7d13FiP46rajjK8JCAEpr9oDrShavWsOspatZsmoNK9c1sHJtAyvXNRAxTUb27cFtz/2bptYU22y6MXU1VTSkspxy7T0AVCUrOO/UEzjlqEMpS8RZunI1b3z4GZAD4LDvWQjBuGEDGDe0H6fsP5FZC5bw8fRZjBnSv+it89nCKrAm5fuuiz0zSgh+WLKSdNbm7ueLx4EuW1OvwboY+bEjKcaVACxDoDKtuh61lz8bIYKQKQPN6De8NoLwrJBZVLgOGCZChQhcaPAOg3VwbsNiv0l/4p0vv+GPxxzABb/aC0M6nHrLo5x25c10ryxj+x13RChJqqwLAqVLlJo6NaiVacbIZhDZNP/68HM+/WEhv9p5G0aMGKbN1cKgv+nyYWsFmUwrCeWQFSa//uP1fD17Ia/86bdsPXxA/thIl8FdKhncvZZtRw7kzP13YsvfXcXd/3yVm888AWEY3PP6x3w+cx4H7bg1/fr2ZlZzhKHxDJYQoITWrEUaTJM+dTV8v3RV3oJ4p42HcPK9z7Fu3Tpqamo6f+9+CvkpzNj/42bw5557Lu+7bdvMmzcPy7IYPHjwzwfWU6dOJWZZVCUroLWFZDwW+N18Oe7Op3n7u7l8eOnJ7DF6MJe8/hEHHHgUXz3fjE9Eg5DJPCQibA4yRD5Ih8V1wdABH4vMKkbZK9r6CQtCgPJZ2iGtvbMgLUTxNnwJfMs+u7Mjn27Y/xiaGH02eMlEKe2ww/2FRKlzd2biLUy2Ajmt3z+//1sxK0ERJnvYBx2WdoE6JA9cdAp3nHMi0nH5cNr3bDd2JMnycu584S3OvfVhVq+rp0tNDY3NLfz51nu47x8vopTCMk1i0YhONYquif3oZZMCoA6Lk83w6qdf8c+3P2XG/MXMWbqCrJ3zEdZUVdK1Sw3damtpaGrkyX9/yMF77MylZ51Gj159iNgpstEKZs2eTSwapV+fXrpkrHRRKK774zn0uPsh/vnqv/nbpGPzr7fIdQ/v14thhf0MJ9HwxloYuWxkeVYO2TbWUyjF0btNoCwexXElr3/2NfXNrQzv14vdxm/MnluOYYsRg/QiILywKkU6LOZDLxQlaU5niEUixNMN2JFEDrA9kcLEFMXb8EmDQkm9vvG1b+83CIG0MNChdvod7NujDoADJ2ymWfDAbacezsp1TRx50bX884YY244fSyzTiOmkEa6D6YfHee/xB9O+59A/30MsYvLkW5/y5T1XURnXCVrKgDrDZnHaZPG0r7j5+Td5Z+pMnjv/BLYeVrDIkt7izJDg8Xe6VSSoqShndX0DSro4mEydswhXSq578iX+8PvfERWK3mZWGwj96zRNcBx233QEN7/wdt5pelYn6VFVwfTp09luu+1K35df5D8iX331VZttjY2NHHfccRx44IEb1OYGgfXMmTNpSqWxLBMMg1WNzXSrrNA/ehPJykYdOvXMZ9PYtF8PrthjM95fu4Bt9/8VTmoOVhvLZwEAdpRlLEQMW21UIICusiX3mw/A7QF1KW26mPkX8oG6WPhTOHba/15MwuzwUhNcmFAWcit0RnMKzhE+vjMAXXjdxfKCg7etiKa9PkleOpDA3BtqJ2IYRLwQq7233tQ7teSQHTbnojsf44qb7+bik45gr9P/xLI167j0pMPp07ULTc0tZLMZlFJIpRjSpyf7TNiswAev/x93/AUsWLqcTUcOZfutNuO4fn0Z3L8vAwYNolePHljRaGBaN6VNiwuxaFRri+iKS0JJhuVV3MmZdfv06sHQAf0QQhCPJ7zxK31vSsViFwPOICbXTwXr/1DkXuy11Vj22mITALK2w5rmVnrWVOZ2KGbdKfbMtbcYLfhNSkUc7Xv2U4P6GcoM6SJNK898qoux+PHkEhRtATpYcOeTDZUQOsZeCG4880SefO09nn7vcy45ci+QEss0eey8EzjsL/dw0JmX8/ifz2W3bbcMNSAD37TrOPz2hgeYMHIQlx62K/v8+T7Ov/Mx7px0LM2pNB9Nm8U3K1voN347TvjjzQzqUcejfziaiZsMo6goCS7kQg7g8O3GcenjL3NoJsMfDtuL1kyWPcYOZ/rqFAvtCFuXteaIc4ahy2dGYpBO0aNLNU2pjHYZhJ6lYT3rmDlz5s8P1sXmxg1p4/8zqays5PLLL2fffffdoDKm6w3WUkpmfvcdLakUC9c2olyXtO1QFo/mveDxiG76y7k6FZ4APv33a8Q335XWZDn7VLTkTFsdAHUhsUyENWK0Vt3HaUCE2eGlgLrg2PaSWpSUwgcpDNI+yHRWo4YQq903iRaYxYMY8WIEsk6YxwsJbZ0Rv91iIO9v8+fHUv5sKE26C4ko1MjDi4sOFgBCKbpWVfDXU4/kzL89zMMvvwXAtEevZ3DvHm2viZAPXUkaW9NMn7eYh1/7kINP/j07bbkpJx+6LyNGaR+j9AhsviYnlCSebsCxYijDpMyKaCYweAxnr+awCIGHMhBC6phi12GXCeO58f7H2OPsP/PFvSGfYsGzWGiBCFwIbhFeQ6kY/WJ53v1t3t9oxMoBdcH+Ivws+qcr9sy1IRG2jcTo272OxavXYTppL8RJBqx+x9CpOBGabxDUkhbaxC/CzYWv3QOGvNCzcDeEQTxRxumH7cN1T73M7puNYsth/cHVnJunLzqZX1//IL+64BoG9exK1pXsMmFzzj76QPp264JwbV76eArzlq3ituP2ZeKldwLw0Bsf09jYzBtff09zOkPP2ipu2GoHXrvpErbtXpaXjKfNuARWq9yYnbf/jmzctzu/veMp9jjrLyQTMa4+7kC+qRnJqu+mUDZhNMrROcSVEAjD1EV3rAiZdJaIF/oVlhE965gxY0bxfvwH5Zd61qWloaGBhoaGjncsIusN1kuWLCGVTgffF67VhIe6ZDnCNFEeLX1I9y58OW8pH8xagONKWlpS1KcyPHHjjdx8883MyS5jiJlrpw1IF4ZU+bsVvIwpYbHGKGej7PLcvp0Famg7yRSW3mwPDMP+Rn/ycN3OAWj43AEwqhwAdnhMAaDnXUMB4HUWoIudq9ik7G9z3bYEp2ILjaJth+6vDz4d+UfbcQssXL467/u02QsY3Ktb8VMLwXtTvuXcO55g+jxNSOzapYaDT4Zr/3QeliGCBBeAjrGVLk4kgRKmlzvaCcysthlHQZDe1K/L7CfziLjpIDWpEoIRgwZwwclHc+mt9+c6VcK3HJQy9XcrHLtiY1Rqe0ecBn+/YgCfx7noBHeisD+GQe+uXViyco0OezKjOv+3dBG4AYPbT3wiTUv/73px1kKhRKj/Ru65K6zmBvmuFmWYXHrK0XwydQZHX3Mfn95wLl2SOklFPGLyxLnHc8urH7J6bT22Ujz5+rs8/Pxr7DNhPE42wxez5rPN8AEMqMv5fvceN5KPZszld3tvx+HbbsrQnl2ZaznU9x2KsJd2PD6FjHtgr01H8PkN53DX6x9z+DZjaOo7muXTZ/L8U09y+ITRubjrsFvJNGlOZ0gmYqEx1+0N71nHGzNntt+XX+Q/Irfcckved6UUy5Yt49FHH2XPPffcoDbXG6xnzJjBwG61zFmxBss0eOWzb4haJtuOHKh38F6mi/ffgb9/Oo0tB/fhtIde4vGPp3LePtuxevVqbr31Vib9/vdUZebR1SqYeMIxaB1qjIrFkSq6us3EA8JJJ0AynE60vcxlxaSYf7UQqP3t4f4UAp//u39+/3fPD6/FoI12HVyDr92WYAO3B9TtTfbFrq9Igom8tkqFjHUUSlYoxSwSpdwYIVlV38jdL7zJpKMP4reH7ctlN9/L0VfeRs8uNTS2tBKLRNhx3EbsuvkmbDSwNw+/8i73vvwO240dxZ2XnMkmI4cyuH9/Pl2ZS/Djk5t8wHWtSFARyrESiFDVKL+GshQm6WhSd1XJoGayFKbn/jeDzFauAss0vYxcRtH7lMf8Xp9Y+UICYHibHz5Y7N74C7xCwC9mAm+PE1FCmlMphAQ7XqnrXptRHU/tZSXzc2b7GemUMHQ5TNfXsj0yWeCbzl/Z+kCvd8q/hohl8chlf2DCb87nhJsf4blLTtPpSoGIZXL2fjvg53649KCdufuNT3jxy2+pScTYdaPBTNp7W5aE2PL3nXoYlYkYhmUGY9LbbWCOWUsKiwQd5IUuHDslQSp6JhNcfshEZhs1pIVFt5U/8Ml3c5i7aAmDe9Yh0qmcMiIlWBEWrFpLz+pkQXOSYb26cvPrL3Z0W356KZWjYH3b+B+Wm266Ke+7YRh07dqVY489lgsvvHCD2lxvsJ45cyYD6qqYs2INj51zHI+/9SnjBvamtiKX/hHTZFC3WlbedREA3U7Rpr5rX/6APcZvxF+Pnsj1//oX0T13Z6JaSkw5gR8nYILnEagUxXzYClhiVjEqu0xv8LOfdbjyl/mhY4UTpa/l+m1CbnLLMwuGfLXhCa0gWUvJ80hVdJIuer3Fwr/87Z0kaHVK2muv2LgGi4hiWngnJ3OfXOezSH1yXqkFSAFoX/7AM1imwR+O/RW1tTXcce0VbPbPF6lftpjK8gT1zS28+cU0TrnuXpRSlMdj3DTpeI4/4iCIxFHCwJEKsPHrNAddEzrfvI7TzoGcDh1yA4KU5SikF+MrhUnEbsUIZdsToUWddGze+2wyybJ46PpLSGf5BkGHw89UAb8h6EyR+xge0zxSYSFwF7hqOjJ/h/q/dHU90VgMQ9pEGleT6VZJNlpBxPHjvQ2EtNEKtArqTWviWS4dZ3ANoXMHaUclhFOC+u+pkC59enbjgUsmsf85f2bfS2/j+N0mcMjW2m+fS8okSZYlOGf/nTjHB3C0K+6xOYuD893+rw+5+JD8UodxXOpkC0vMSobIdW2GuKR4QO33Y7GZZEGkC5u3zmPcmCHUJcu4/elXuemUwz1Sme0lpzHAq1duFMwXwjAY3qsrC9fU09raSlkoPe9/WpTOS/ej2/hflnnz5v3kba738mXGjBl0r9QmJMN1eHnyDA7zH3hC/kfDoDwWpTwWZdyAXsHvMdNk+LAhfPfpe8ye9T2TE/2wlQbpoqFcBQAY9susMXQ/urjNeft4OxZfvYY1X//TKfJVYVsqp4X4E2RhRrRimdkK/+/MeYPEICr/k3etMv/6Onsd67NPmOBS4PcMfi/1KWwjvH9HfSm8Xn/cpeSTad/zwCvvcPnJR9KlshwhXSJCcvKv9ueCSafw29+exEWTTuHdh25i7muP8f6jt/LVi49y9G9OIpvsRjZeibSiQbiXMnSZRdfQn+CUwkQaVlBCMWK3EE03Yrg6cYvpZLDsFJFsK9Fsc1C5yScFRbPNGryV5KKb7ubNT77k1rNObJtQpnBMgkQ4HYTkFbtnpcY3bA3yj/ezBBZlfHdgWfEknbVZuraB5Wvb+uTmrW1i0YrV7LjlOO1KiJcTyWpCqD+uhefIJbjxfNtCoMxI+4tx6WK4dvDxY6UBcF0mjh/NPReeSkvW5pjrHuDap//NsrUNucVxO8TIWctW06tLNWfsvzO3/Osjfli20huD3Bj3lk0sNSvp8C0r8b6uNMqYEe3JmJZ5VNgtJCIWJ++8BY/8633WNKdy1jt/XgDGDO7PjCUryYSiFpSU9KiqIBmPMWvWrI5685OKbxX5sZ//ZTnhhBNoampbwbClpYUTTjhhg9pc7xH59rOPSHrlBCfPXoRlGByxzRggB7hATksCJu2+dXD8nltuAqbJFoP7cc0NNxKXNl+X9ccNr6QCP3D7PtclVhU9nQYM8kG8jYQm9zwzX6n/SwGMP6nlgXQIqEuBVCGAlwLWUhOrf1zwoobbLuxLKTAvMaGXGqdi7bUXqtXROdq7n4Ws+I4Y7p7YjsPvb3mEzUYM4oQDd9eHujZWqlHHx9ppnYHKm9S61Nay8ejRdOmuiWc5P7KB8q5FIbwQIVdr0oCfmjRiayC2nHRIk9MJM3yzuQylQRXSJZptJpauz12akrzy9occust27LntFiUXNW2Sn6zPIqvIPVNKMWX2Il6b/B1vTpnBu1/P4PsFi3PHlFoMhMOhoO17ISVTZy/gtzc+SJ/D/sDgo85h4FHnkNjzJDY+8WJ2v+AGtj//Rjb/zUXUVFXyu6MP1uNkRcnEq3S2Mo/A53p+7MIyicpzMfilJ/2/SpjawhGY5o2cOd2xdZYxv9hHSI7adVveuuVSfrPvTvz5H68x/LeX88n382lOZfj4+/m58fB5NF746FfzlrDpkP5c8Ks96VlbyV5/uZ+ZS1ZgOy5T5izkg29nU2M34CBYKxLt36siz/g6EeObWB82Ti+h1mkJtp+88+ZIpbj75XdyO0ups5xl02w6uC+OK/lqzuJgrhGGgRCC4f8lktn/dXn44YdJpVJttqdSKR555JENanO9zeDfz5nHRuNGUB6LMn3hcrYZ1o+qsjjF4qV9OWSr0aSyNqc8+CJd4hFwbPp3raEplSY77UPEJjswvawfY9Je9jGVA/18prA38RgSR1isNCvYOju37QnbM9sGbXmA1CHhRrU1rxeaCUuas6VeDhWb6HwpMOflkc2MEmAfiJvvvyqaTKUD6ciqEPZ5hsk9xfYpZCEXug58EaLEeHWer/Dht7M5+/bHmLFwKe/efwMikdTPjTCRVhTlTfrCy9csPfa2MnTmK808Fm1W8HnZtCDY3/TzWCsvWYcwkB6RTFfxkroshaFTaCoroolpdhqEGaTFFMABE7fjgWdfYdv5i7jy5CPYedORbQAlkGKad3vj08bkLfjk2x84++5/8NWseQU/Ce47/2R2HjuSHjWV+a6dILSwhMbu9W3BqrVMPOda6qqTnHXU/owdNog3Pvuau599jbKyBN3qumBGY+yz07YcuOeuVNZ1xxUCQzo6U5iXcc6/D9KwclXRQJeM9Iln3rOuIPjuZzQDvVATfiKikP87/Lz6iywTxS2/P5bLjz+E3c/6C9f+8w3qKst57J3POXXv7bnx2P0KboPi6/lLOXW/nehSU80rfz2HXc+5hk3PvpGKeJTmtHaH7LPZSC4972yWWkm6uG0n6/wbkJsXmkWUr+J9GZpZQQ+7Xse4e+9S14oER22zCfe+8BbnHroHhUWGx40aRreqJC9O/o6tvLhu/9hhPbow8+cmmf0f9lk3NjailEIpRVNTU14hFdd1efXVV+nWrTjxtSNZL7Bet24dKxubUUrRsybJ57MXcuJOm+eAunCVHtLEfr3tWK595UMOvfZBxj39b27/zYE4rmTWkhX8atBcvkwOZWqiH5ukFmEUGpHa+C4Vy6IVJGWacpWlqBQD1mLg0VnAhhx4FvutPdBrT+svNMO3YeJ2ALi+vxfaEofaS4Papp2C8+RVMgppbL5lwdQ5i9u0G07IUlLLLgCETooCPvxmJjf+4zVe+3wq40cN5d8P3MwmGw3DNWNI0wrak4aO2Y1kW8BykVYM14p5QO16mpuZK7+o8glB4aINeOCigcLIadXoRZpCoIxIwG726xq7RgQslRf2pQyLU449glbb4Yup33LG9ffy7m2X0r2qIjeGRS++k9v959kbh+nzFnPAJbcypH8f/nnzFWw0cjiu7eC6Dn+9+xFO/OvdAGw8sC/CNEmlM/xqx805cpcJfPr9PD7/dhYtqQz9u3ehf4+uDOzRhSG9utO9ppLFq9dx0KW3UltZwceP30aVlyRkl63H0aWmml/tvj0D+/dDWdGgn9K1tdvBsIKYdD3eZlDQQ6Fo47L0mOB5FdX8nwq1Z8PI+a2VV2SjmEhJTbKcQ3fckuufeoUhPbsCcNerHzBpn+3p36Ua/91a0dTEmuZWNh7YF4Sgd10NX951Oc9/OJnFq9ay/diRLGts5cSr74Tb7+fESWczEoFF6N0J37PQnNZoJJgc6UVfp55+9tr8BbynVJy803juf3cyL346lYO33QzsTHC86WTYf+sxPPf5dP78q90QhqmT5Ng2w3vWMe1n1qz/L4duVVdXI7wY/2HD2sbZCyG4/PLLN6jt9QLrmTNn0r0qSUMmy9J1jbRmbLYc0jdUi9V7IL06rIUTz9yVawGYMncxv7njKarK4kxftIJfK5fxzbP5qmIQU8r6M6Z5fq5jJVZYyz0TeEkpeCHy+tdm3xBghzXDYm0UA0+/dm14ovT/FtVMC0hDhexdXxsPM8Whk9pUEcZ4KSmY2Ntcb2fM5oULAtNCWRGditFP0lFq3/baL+jL4tXrOPrPd/LZd7PZaFA/7r7qQg7ae3dMofNLOFYchMB0MjrsyrsuJ5LAkLYGUiUDQpg0Ilr7MnW1J9dfcwkLC6mPESYClSO7eP31iWP+9vxyjCIAcYHSmrnvMjWjGMqlV/euXPfHc5g9ew4Tf30aQw77PZuPHML2o4cyYexI5i5dSXMqw8AedYzq15PhvbvpuN288WpnweX9bUlnOPCSW+jfqzvP33ktlRXlQX+Fktxy6Xnsu/O2NDU38/FX04lGIrSm0vz5sRf582OaRTy0b09qkhW8+dUMlofq11eWl2EagmRZguduvYrK8jLw8mebpslFJxzq3UYXbXMA14rr8XcdVq1ZS6TKoKy83FtYCVAGCFBKBkz7AJyFCO6HTxjzQ+XyzP0eSS0Xn+1bSsKLdsM/FQB7bTOOKx55jilzFrHVqMFMn7eYf3w0lXMP2CkAy++XaP/0yAG9vQWrS1nE5MidtoC4R95yXXpcfS67nXsNux68hGllkk0rC+9R/n1bJ+JMifRioLOWQfYalCHazjFCsHHvbmwztC/3PP9vDt5ufEgZ0VyDA7fchHtf+5Ap85ay2WBd4RDDYETPOp56/t22z8ov8h+Rd955B6UUO++8M8888wy1tbXBb9FolP79+9OrV692Wigt6wXWM2bMYHjPLsxZuZbWjE11WZwdR/QPYqt9EYUamfd951GD6FpZzrL6Jt6fOR+ABavrQQiiymV8yzy+LuvP5IpBbNo8l6g/IRXEX6dEhHojwSZOjp253tIZU3nhvuHLDK9+CzX1Yn/9/4uF0xT7vVi3CsG0WCx6MXN94USfB9AFC4KOfMd591ZqzAgfk00HmZ/ywLm99KkdrKJX1Teyz4XX05qxefrmK5i47VbISBxlmAHXwdfMwhqbKXVRBteK51WoUggPTI2AMexra4ZysOw0AhUsAAi0Yj85ikCE7D/SjLQxqYuQdUga+a+Z8MZu2KABTH35cV544x3e++Jr7vvX+1zz5MtYpkkiHqWpRZtRe9fVsMtW49ht7HD2HL8RiVg0r71Si55/T/6WxavW8sIdV1NdFsMNaaVKGEQt2GfHrRFKccQ+OWbzoXtNxLFtxm88gtrqSn39rk1r1mHB4mXMXryUWXPmsXrNOib9+mB61tXqMpbCQAk8DoCJEgbX3fcYu2y/DaM3GRMsnqQwGbrbrxg+eCAfPv94YLUwpIM0rLyxCy5RGPnbhYHwuQPBuHrXZkUQdjYPqMNpUzWnwAyeh1GD+nLn2Sdy0rX38ul3cxjapwffL1mhr0e5vPn191z2j9dIxCIM7NYl/73Pe58lW288lBmPXc8FT79P/312AxqL3huAlUY531g9GO6soq9bn/vBEJ6Hy0CFFvwn7Tie4+99jpnzFzGib888ns12W4yhqizO69/MYrNBufS0w3p2ZfbyNbiui2l2lMThp5H/y/Wsd9hhB0Czwfv27YvxIzM5hmW9Neth3Wv5x+ff6o6NGEBUCP1AhaXE5PHSuccEK9XfP/oq9783mY365Oz3FpJxrfP5Jt6HL5NDGNc8l0RhCJMhWG4mqXVbiIXQs2j+8FLA05HWnRfbTA5kClN/+vuUOm/RPhXRZsN9LDTLt5cJLI817LOzi/iDld+2LP69lJQapzwfuWzr/nDs0ougwoQtpfKse31zXJcDLvkba5taef2+GxjSr7f2Y7q2/ggDw82QiVeDENhWAiUMLK+ak6+ZScNEKIFUHpEsZOL2NTXQEQ7KsLSv09snCLsSPmi4XiIOM2jDT4JSCDThEJTAHy6dwKdeU1vL8YcdwPGHHYByHWYvWEzXmipqKstZ19jClO9m8vbHX/Lmp5N5+OW32HursfzzktPyrcSFz6A3pp99N5u6qiRD+unJO+zfBTCcjF58+Axrb8x33nLTNvdDGSZlURgxdBAjB/aB7XVqTsNOa1eAYbVZFGazWa665wmuuucJ5r7zHMm67gA0pXQypO/nzPNqV4f8zjKnUYclvMjQ9ynj9c/N+13vJL17kp+qtdC0qiLxoPTmUbtvR31zK+fe8Tg/LF5OfVMzn8ycx58ee4mPZsxli+EDefbSM4hYHsjnWeAUfjlLZZokolE++OADjj7qKLJ2C1F/ngr1camo4DurOxs7K+ghm2kj/v0I9Xn/cSPoWlnOPS+9zY1neHOppS1Elmmy4ybDeWvabC46YCd9gJQM7FqDVIr58+czePDgtuf5T0iIXPyj2vgflv5e3fbW1lYWLlxINpvvrt1kk03Wu831gv0ZM2ZQnYjTmNL+kp1HDixKLGuzrZBFLAQXHrAjd594AJsN7M3EP9/PrKWrUFIzOUe3zKfKaeXz5DAajDiFsixSTU+7IS8EKo8N7m/3Nc/1XaWFzdel/vr/lyIAddR+Z/YtPFf4mGJMcp/sViw0rHD/zhZAL8pQV7kxKmZV8I8rxsAvvK4O5OPpPzDl+3k8ctV5QZUqw05jZVtAGEjDxImW45pRWqNV2GYMXe7QxDFjuGYUO1IeAKo0zICxrbzFkeHagdkVNKPbD+VCKaxsC5bdSiTbEpRK9I8PclT7Gn4IRgtjRYWSGK7jgaSuRx0sEpSLaQiGD+xLbXUlhpLUVFexy9bjufqs3/L50/fz8NUX8cqnX/PSJ18XuScy93EdkJI9Nx/N6oYm3v10siZfuY4+J0qz5V07R7qDXJ+8fgkv5aeuL60B3bC9bGyuo4GOnCbtX6P/icbjHLzb9gDsf/KZSHRmOJUNZS50HQyvXjRKBez9oB3fzO2PoXTz4tfbhPqoUJpWkStEEt4WEBzDSVSAMw7ajbvOOp7bJh3DqoZmdr74b8xauooXr/oD7958ETtuOirXRrjIjQ+qQqeCTcQirFy5EqdxDcuNivzbBMy2uvBdpDtj7WUaqMNRAMXmKo8HEotYnLj9OB58/UNmL10RerD0ImnHsSP4Yu5iXZPcE8s0GNK99hdG+M8sq1atYp999iGZTLLRRhux6aab5n02RNYPrL/6Mu972NyyvtKzspyjtx3Lza9+xKc/LOSQvz3J6iYdrmAIwajWRfTPruaL+AAWm9UBALWoCC1GjG5OKIZNKv2Qlyr+EQa4EHtbOXb+JBcOn/EBKfwJzidD4U0FbRc7b3t9KiXFAK29rGTF2g0Dd+En/HspaaNVy4Lr7Tw5rOj4tFdm1JtUn/7wS3p17cKETTfKxduaEWQk7gGvRTZSTtaMBz7NqJMi4qQwpIOhXCw3jWWnsJy0F7srdUx0pgnL1nWAZSjO198nR0bTIUJCuli2Nk37sdVGKfJS4eV4Wj6AsqIYbkZrh55Ij+zm5xQPFhMil6TlgInbsvuE8Zx119958LUPeHfqTJava/TGMcTA9f5uN3oYGw/ozf3P/UtbD7zxFx5IAxhOVgO5k9XgLLU/1r+3PribdirHtvb7Z5hIKxa4EYLfvf8BbrnkHACm/TCfvz9wL4Z0SFTm/HiN63J+cH8sg4paRQirwn+OQuPii7aiqLz3pNBXHf4/cI2Exu7YPbbnxL125LGLT2XckL68ft157LrVpggvHWr+TRX5kRHe2K2u16ZvsWYpy82K4Nm3Mfgq0pulRiVbZhdQV6hRh7MqlnjHz9pzG3pVJzn52vtwXRnqv2BIr244rmTR6vq8Y4Z7BT1+NikSM73eMdb/o2ZwX/7whz9QX1/PZ599RiKR4LXXXuPhhx9m6NChvPjiixvUZqdHJJ1OM2/pigBQAXqFq/SEpE1ik3ZMGkvrm4haJnNWrOHmf32kNyqFEIIB9lrGpRbwQ7Qb38Z6IhGssJLUOc1YBQQbFdYq23YIXFf71sNABajw9jChqz2N0v8/2L6eoFxsWzDRdsRMLzi2I/N/eFuhqbAzUqp90Q7QFjtHYTsd+XKEYGVDM4++9iHHH7QXWJEAYOxoOdlohfZZm1HSVjlKGJjSJuJmMJ0Mpp0mkm0JQNfXcg1pa63c2y49FnfxiT9nevWrZvlJN0w3qxcDbiZ4FsJadrEMTL45XscV+1psjkwlTd0X14ziWton72u0eJrm9eeeRmWygtNveZQ9L7iBgUeezdBjL+DIa+/npufeYvrC5cH5Fq2pZ+6yVQzs3dPT+mzMVFPOz1ugufo+eb+vPhD5+4tQkpE89nXIQqCPVSjD0uUjy8r5x81XAjDppgeY/NH7JLI5P+6ux5zO0y+87DG6nWCR4nMJwhYQUQi+3nPiE9AKWeIdxeu3vedCP5emycE7bcVHd1zByEH9gvMg9G/BIjNcjEMpPV6uy9c/LABg4wqoFwkymDSJKJ9EtWl06+wCkn4US+HiugMpi1jcedy+fDJjDne89HYeN6R/D81mn79qXZ518+eOtfaf/x/7+V+Wt99+mxtvvJHx48djGAb9+/fn6KOP5tprr+Xqq6/eoDY7DdY//PADZbEoH89eFGzrVpCPNk98P1Epk6f3gD1z5lH0qNLtpDIh35X3e63bytYts2ky4nye6M+ySDXdnYZ2wUYpmTOLexOd/71U8pRguywA4ZKgXeI3v41C8C+1n9/HDZUCzSBve6G1ILy9WD/aO0d74N6edtze92LnCbV367NvYFkmJx1+oNam/YQYVgzbStAaqyYdqSDqpom4GSJuBstJY9mt2pzqAbJQUgOhEckzB0srljN3h7vhg4RnMi8UQzqhpCgulqPNuuEay22GItQX5VkEpGEF/QLPxOvaOTO0T4wKhSb179Wdz/5+J6s+eJYp/7iTR/98Hofsuh2rGpq56rEX2Py0y5lw5tXc+a8P+NWVd1BZUc55J/wqv/8eCVCZEdxoIu/+KTOifa/+dXvaYrg/eUQ6D2QD8p4ftuP9VYbJrjtsyxlHHQTAnr89j6uuvSk4vm91OSdfcTP/fPZ5DCeTu/8hvkBAAvTG3JC2l7ymiAumgAtRNATItwKEzeP+T8ECQcfK57WZd0MNDc5hC4DUwCk8RaLMkFSpFD9YdXwW7U8vt5FN7SVEijH5i7jzSs2dE4b05fgdxnHdU/8i68pgrPr16IoQgnmr6vPGZViPXxKj/NzS0tISxFPX1NSwatUqAEaPHs2UKVM2qM1OE8xmzpzJsJ51HLzZCC5+WpchFCKfTtNGo25PPKLRiD7deeOi43nk/a84bbetgp+VlAhTA21MOoxvns23Zf1YESkLabeyDQDkgfF6FusIjnVDvqNihK3gGlRb03vhucJJVaB9TbWzUkjO6qyWvD4S+PbyLRFBWF54EuysOXx9ng+leP2zr9l/l+2prKnF8TQs20rgeOBmuVn8qlYKHYKlzc0mSqCLbbghsltoMaAMU8dd+6fzteKQeVUKEyNEYFKG6SXdcANNyzWjSCsahHgZyg2IZnngHfa7KoVrxQJN0XAzOaayEAjXQZlW0G+/nKQ+WL8T0WiUIf37MqxPDw7ccUsQBllX8trHk3n0pTc5984n6F5bzXM3X0YymcxZBywCUJSReDAmeTWzhQFKFAUyTeizcSPxvMpXpZ5hDbQGl595KvMXL+Xl9z7lhn/8C4Bvbr2IwT3qOOPuf3LKlX9DZjMcfcCeSCuKEynLhch5vmA/IY3yXQU+K98gIIop0wz5pwV5BHIvvj54FpSEAqZ+Xja0wAIRMkuHuR6GoXMNuE7e+zBvifYnt2RtlBIsNavY1F5CV5mzSv4YEYbBKRO35MH3pvCvL79l/x23AukSE4oRvbvz9fwlsH3OLzq8ey0zn3gN5Vks/9Pyf5kN7svw4cP5/vvvGTBgAGPGjOHuu+9mwIAB3HXXXfTs2XOD2lw/sO5Wwyb9dKrGiFnA1mxvIi70PQUHeSvCrrX88eCJeiXp+8oK2rMMQZVM0+rGmJnoxRo7yYj00rxsPnnasR+vaLbVpsPfCwu2t5ESRUSANiFlJffrDKi3J4UM8aANuX4A2KbdEAAU9lFJXRqqTUGR9VhYtLdvsespYINXlZdh23ZgCrWtROCbjjstQcx0xE6Bkho0pZcmVBjBpO6bkJUwcCNlCOkEMdA+sCpP21GGoUOJXDuvXwoN/tpUnDMbSytXDtMHaD/UC8gzzfrg42vreTHA/v5SoUwLaca8Y3KENl+zzBti36oiBJYVZZ8dt2GfHbdh9boGEvEY5YlQsRDvvG6sPKfNB6Fv2mLg/+/HKeOXqjRMndwEjwHu9Un/45mAQ35xfS0uGBGtDRsG9/75AnY/4Sy+mTWX2884iqG9uoGS3HbywZgCTv3rnbhScvw+E6E8t8BSwsRwsxh2GmVYuNGyIIucX+s6bMKXhqHvsZfDXrluzhKiQv0OMeCLEjf998uzimieSlgZiOjFgWEESYSaWlq56IFnOWKvXVnQcywx5aKAKlkim1loHmh3HvLH1HvfN+5Vx+i+3Xnmgy/Zf4ctg9zu44f248t5+SGtQ3t0YV1rmpUrV9K9e/cOz/GjRdCxi6wzbfwPy6RJk1i2TBeYuvTSS9ljjz14/PHHiUajPPTQQxvUZqfBesWKFfSsTmJ6D4tltp2E8wpxFNO2SoE26AnOoE3Mdvj3lVaSPtnVdHWb+S7eh48rhrFReil1boio4efG9QlnYT815IFPUeZl0FWZ26cQyIoBbQmgVkrmnydkji/adiEwd6S1lgLs9kK+Co8NWRTaTQJT2M/CuM02i7ENWMCFfutaW82qNeuIpBo0u9gwKTNMMvFqHbssBJFsq56YlYtha602fF4fpHOas46Q1gSxLK4HQEGctesE2czarO4Dn7QGZCnMoiFb+WFEKkec8hYJ0sv85mt5rhXHdNK4ltZ0w8z0cNvKjATErdzJRC7bmjD0JKckdV1qvUQjBTwM7xr8bGp42qpwcjnU8RYGyop67oDQgiJEkguuIUS+Ur7/WmkwNZQbkObK4nHuv+Jctjt2Et/MXwLmVuBIDNPilpMPwYxYnHHt3dSWJ9h/4rZIf3GQTaPMHNscQDhZbX3w74sqmDcCIFd6zDwrhrYORLRG3WZM8uOxUUqHIRYDav8Yr8Y0hvZl16eyHHPssey3z94McNfQz63nk2h/Votyerk5Xz0FyU/aALU/H7YTOXHQZiO5/l8fk2pqJBHR1zN+SD+efP9LUlmbhKXHrDwWpSoR+9nAWmeh+5Ga9Y88/r8tRx99dPD/ZpttxoIFC5g5cyb9+vWjrq5ug9rs9Ig0NTXpHLhejOQOIwbm/V7qoeo02ayUL9lbAGSFSYNZRp3dSMzNsmlqPoMzK5ia6MN3sZ444XKAhabwjoC2M1JATNtg6UzFrWIM9FLMdGg/FKpYEZNiBUzaa6NwDDvqd3t9KXWMDwahCmN1VeWsXlcPQuiJWxi4VhxDucQyTcRbVmNlmnSsrp3Rfki/oEZgKg0xpMPmOeliOmlMJ+tVZ/LB2g4oLv5xQZxuaLkvhYkbiefHURc+wyHTtvaFWhp8pQYwX8NTQuBEEvj+WOH1zZB2sBhQIZZ4XtthoPT9xYS039A2POAynGwuVWpYu/RJWkEOdRn4hn1fv2GncWIVurCGx5LPgbqJMq3ge3hcfN/z8IF9uep3J3D3y+/yry+nB9qtEIKbjj+AA7Yey6nX3s382XMwU82B28HIZhCO4/n1s15fVWD+LozDDpjhkANkKTW4tnkGQ9YAX1koTFwULtsrjBzJzF+YGAb10mR+eV9GjRrJondeoL9bj5CKbm4zq8z8EK6SQN1udIbI+3vAZiNoyWR5Y8qMoH/jhw/AcSXfhIiGABXxWNEqUL/ITy+2bTN48OA8nkBZWRnjxo3bYKCG9QDrxsZGkrEo0xevJGKarGnWIS/FUuP9lAHtPtivNitIyhRxT+sRQB97Hds0/0CLEePjxCBWGBWBftOGMFYEsPOIaOHfSr0w6wnUeaS2IufMO3dHJK62jef+zyt20gHwlpJSGnghSPtanGnmzhO+3+vLZg+Lf02uy7LV63j3q5nEIpZXMMPUmidgOlkN0l6MrpluanNew6uaZfgfN4Npt2LZrTntNDTB+1W33EiMbLSCTKySbKwSO1oWsLbDUgjUfjtFLytPs9c+31i6wdPiQ0zqYEHhgbvnAw8061Da06A//jEe2UnlLQJCFalCz0t+elRDM+KtGDISx05Ue374mEfqi2ginBVFWVHseKVedPjn8CpiKa8qluYLFIQ04fnJvT6cfPCe7L71OE659QlWNjTltFQhuOuUQ+mSLGe3s6/mzc+nImzt6hBeLmy/sAqQI77lhZrl4ryVELnjw2x1JxOMlz5G5UK+wqFfulM5y0FQQ9p7B7w4c1tYzEzH+KK1nN4Rh5efeIi///sD78IF3ZwmVpnlxWhl7Zq+29OqAYZ278K4/j25/QXNIcKxGdFTg8F3S1YG/RSGQTIRpbGxsZ3WfjoJV037MZ//VYlEIqTT6Y53XE9ZL806GY+S9VaeX8xd4rXQ/qAWTZBSQgNTIW1Pufn+uZVWkq5225VhQtmMT81ncGYV38V6MaVsAC2GRxySqvTLUBhvHP7bGS2yVJvr8XtgHu8MA73ddmX+346kEJjDcbqlrj3kG80TK6I/xaTYtZRaWIT+X7J6HbtfdBOtmSz3XX42hpsNimOYbpZI61oMTyMOQCo0+Yb77FfdMpxs8FGGiRtJYMcrcaxYXj1l14gE2qopdXiWY8VwomX6E0mQjVW2vdSC/OGFz7cPHr7/PciH7fXTT9iiy0TGkGZME+aKxHEXss594ldefwwz0J4RBsq0QgAv8uo8++2FY83D34OFRrAgCDO1nXyLBXjAre+XkK5OAuMx3UH7xu+88DSUEBx+3YO0ZnLZnaoSMV7948kM692NIy/7G7PmzvN837lnL8ysFx4zv61VQwame6FUrla3aeZM4J2RAssMkWiwEFEKlsgEH6araJIGWyeaGRTNcOwe2/Px9/P5btFykIqkyhBRkrVGWXEFISzhtMH+SQoltO38vbflg29n897XM0BKfvDIbde//AHrWlLB+5aMx382zfqXetZw+umnc8011+AUs+RsoKyfZh2PMW3hCmwPsK976X1abacAbNrxRRaK67YF8zBge/9LYbDWqqCr01iUyCaA3k492zZ/T7mb4ZPyIcyKdMMOP+dhIC5mdipZhjIkxczBoW1ttOYCLb0Y0S3PAlAI2usjHQG1P27+X9PS/4fNe3n7h661vRfHdfK1EddtO8F0ZgFiGEjguY+mMPH860llbV65668M7quT3ptOmkjrWsxMi9aWpMyZXkPm5M5IQJgKXZfvJzaUq+OnfRCQ+Zpt4STif/fJZWEgAU0qM7ywJ/8jzUjARPezrSF0ERLDtbUJPMQQ98/jL1j88KogDjoUSqg87VpGPGKZZ0bP77TyTO5O/n3xwE9bJXL3TBlmHuGtEHg1Z0AGoJ0H7hCY1/3YdeG6dK+t5h9/vYCp85Zw7M2PIkPPb/+uNfzjnGPpXlXBZfc/jYwl8s3qBVW2AuJdMZKY8haB/rMhJUgnD8iVEPnvTyl3jhDad26aNEqTz51qZjtljLSaGB9ppAIbKQxuf+Y1IqZJIuqT+KBOtrC60BROEd6Mb4Er5TIqeMb3Gj2EcQN6cv79z+AaJtGovk/zV9dz8T/+HeyXTMR+Ns36F4EvvviCZ599ln79+rH77rtz0EEH5X02RDoP1iuWkkzEGNajS7Dtsmff5r53J5doOWeCKSneilf5oN1mktcklQZTmyL9RAIiVOs1LBEkw1NL2KLpBxqMBB8lBrPMqs5pjF4R+bxQnmIg4u3XHgGtPV942Ozt/9YZpmdhO0XjpH+MtOEPFAHq9ljtkJvIwuDs2GCayGQNskuPfBOoMPT+kRgqnsifFIPFgqCxNc3Bl9/BkVfdyeA+vXjtzr8wpEcXz8+qfaXCY/W6iSRurCwE0kbA0tapMO1cVi7Xzvl3fSDx/vqhQLp6U4hg5oGRn8ks+HigHSaAhbf75/EJZUYQi52/ug5rgUGuayeLmW3FyjQHfmW/zGOYNOeDTHihEk6pabrZ/Eph5Py3QcKRsI82pF3rT0FRHqUCrd/PsmYoN6QBiWBxE4759/3zmgho6MQz/vk98/EWGw/jkcvP5JUvpnP10//OezYqYlEO2XoMb3w+lelTp+n76uUhDydpCWv6ueQxufhpvbAJma6LSH6Ws1KWJQGGgS3h20yCz7LV1JouE2L19BDp4LD3v/qWybPm8/S5xzKwe26urHObWW2WF2+7UAq16nYW4kIIrj50F6bOX8rbU76joroq+O3h96fQmEqDECTj0Z9Ps/4lKQrV1dUcfPDB7L777vTq1Yuqqqq8z4ZIp9ngzak0FfEof9x/B2558zOO3XFzHn3vSz6ZvYjf77olq5taOf8f/yaZiHHjr/dm9rLVPPjeZC7df4dclaBSJp1SD6O3fbVZTp3TpG9fiBATsM/Dk49hkJRpNmuezYpoDbPiPZlv1TDEXkVXqf3swmOWKpd8MOzI9FIKyDoC4/Uxq2+oCb7dNkOmvM5IsTCuwmOLsNaNVHPAilXRhNaA7WKZmmQwedqOw7zlazj8yttZuqaeZ667iD22HKsn9EwqYPwq00RGcnHRCIGRSeeuL0SS9slcvnaY00g1cLhmrmqVn4TE8KMIpKsvPXzNvj+UfJAT4THwzbIF4VhBbHCxMfSuA8hZCFSI3e1rwE4GZSkvIUwcw80Ek1kYXAMms5IYSgU1vX1AE+HXTylABpWu2nTLJ6ABoDV/v8yob5kw3ayOCbeiOjuakwZhYEc1KBlKesAuEIYZLJxUJDf+e2y7OX888TCuvE+XzD1jz22D384/cCfe+Home557DVuNHMzx++zE3tuOh7hX6tP0k8kQvMd56UaN3LX7SUzyM6/Jthp1ifvjCIP5mSgL7Dg1psM2Zc2U4+Tirr156YUPvqBf1xp2HTMsb+Fd4zTTGu1NSkQoo61rAyhu0SskuhXp4zaD+jCsRxeefP9Lbt9kGFHLJOvoc7w1bTYHjh/1sxLMfomzhgcffPAnb7PTYN3Y0koyESNqmbhS8cDbnwPw/sz5KFfy2wdf5PXpcwBYXt/MG9Nnk3VcRvfuylETxupGwqEkYQlPen5FJtP0TKqS1VaSAZnVuf2F0S7uCK+NHtl1dHObWRSpZXqsF+Uyy1B7FbWkQ4Bkti1qIRXKCE3M4ZMVAFnRULMNZYz/J4H6p5TC++hPKNlMEM4lbJEDagA7i/CqcTWmMpx1zz/55zufkLW1ljWodw/evudqRvTqpjUoH2RM309qBL5Wwydv+P0Iha8FrGsrivK++4k5fIIahLReX7OUvlZsYwh/gtSsbSGUNlWHSEz6XEbetrx46bD23CacTOVA1gM+aUawE1Waqe0tMPyQNEBbCSwRSvoSjuVWgZVBCqHB3VvkhM3ZuTHz/dTevfI08ZyFILewUHlWEqGTz6DN+q4ZRRgRpGFiKRmYyn1AD1fT8klnhp0OAZxeXJx33KG0trRy7kMvUN/cysWH7IpAkYhGeOacY7ntNV0/4LDLbuXwnbfSPIZMKzJWFvQ3AGnvXgPgaiuLn/ikjZtEGGCoYJ4JtoXElYqFMsG8bIxyw2XTWDO1phPcu6CWPYBh0iVZTibrUFh/PIKkSrayxiwn4dQHc0qnLW7tiBCCw7fcmOtf+5jbDJMuyTKWrdPA/IYH1sn4z0cw+0W0OI7Du+++y5w5czjyyCNJJpMsXbqUyspKKiraukQ6kk6BtZSS5lSaykS8DdY2pDKsaGzhnZnzuXCvCTz65UzemTGXI7cazUMffs2S+iLl34pJIWB7kpHQZMSpdZvytR1vJZsX2x0S31RuuDb93RX0ya5hQbSOr2J9qJIphtqrqZJeeIsJecnzhVFUiw5ir6XRNn56PaTDRCyda+THHR+WYlpfR9p1yRC8EKs2aCun6axsaGTHc65ldUMzFx13CD26daWivIwdx21ETZkuWagi8VyqR8jLF+2DlIrGA2Z12AwqzUhe9i8Aaeb802HtU/h+W8BwfdOqozXowLQuPU217WQufK0xFCLka9JS5MhYbfJZhy1BGB7A6Offjy0GgnMKdKIUzbwWRcpI5kLB/EQxWusvAOFwF4KFhgQlAqNjLpOavj6hLEDm4l49LTVc5tNwbU1GCz0jhkeOk2Y0dP4iC1slMVy4/IzjqExWcOk9T9KUynDNr/cGoGdNJX8+Yk+kdPn7R19z4p3/ZOzw55l08G56wRAv13127KD/fhy879uWlhnMF7nrL7A0QP4zg2CxE2OuHSdmKEZHW6gTGW2VCzgCKu8413FZvmoNmQJSkf+u1znNrDYr6OPUtx2HjlIT5w1ZiOfiyQGbjuCKF97j6Y++CoAaYKoXwpVMxGj82TTrH8/m/l9mgwMsWLCAPfbYg4ULF5LJZNh1111JJpNcc801ZDIZ7rrrrvVus1Ng3dLSglKKZCJW1Mn9ytRZZB2XgzYbwdnnn0nL9Cn0P/0vACileOaLbzl4842KN+6vQAtvjvcirDPLqXDTRJ2sfsH8ZCyGANmxhu0/2KZ0GJReTl97DfOjdXwe60ed28wgZ60GbROUEiW14rycvWESWaF0UqsuCtjrw0YvNmYdHtPORFBMsyhl9i917sJFU4F7QwGn3/Y4zak0nzxwLQP79AxMlMJLPqEzZUVyQCRE/v+GiVterdsTQpvGQ31uN5xKSQ2OBT5oQoQlDc4ClOu5XfLNzW20WsglFykAan1c/vOQBxKBjxWEUHlscfC0WqnHDT/jWJv2cv53lGZwm4afhMXNv09CLwwKTYy+5SE/3lgDniFtXDOKId0gmYvMI7flrBN6/PUCJBjPgoWCTuzipWwNzSbCdTnnmIN55f1Peejtz7n6qD0xjPDCCI7YdlOmLVrBn+79OxOG92ez0SM00U3mLAx6wWAi/DzjroswXFQhXSPsDw7130WwzI0y145jACOiLXTH80kXuH2CMTV1TPrvbnmYB1//iD8eskteqKY+j6LWaWFBtIsekTy3UAmgLjSBlxJDMKxXHUO7d+Efb38KQNdkGfWpDLNXrEEpRUU8xuKfK3TrJ/A5/6/7rCdNmsT48eOZOnUqXbrkuAsHHnggJ5100ga12SnV0Pd1VMRjbX5LxmNMeuI1AIbVVVO+dgluaIK/4rl3OPbuZ/SXjh46X0LszbWRJLV2U05bU21Xle1JodYdcW2GZVawXcsPxKXNF7F+fB7rxyqjvLh2KVXbqlw/QnyQLgT/DhMjFAPaUqzVsKxvzHWpBUThb6XO3U4Y2eNvf87Ln3zNref8loE9u4GUuThjHzC9ic+vpBT4byEgkrWpvxxiA/v0lDZ+sxCpMJ8UlmNwB7sG23L982s4G27WKxLiegxwbe7146F9k3ebeFHVNsxISCc4Nkwqyqv25YVL+fu2t+ASHjM7uFeFC7BSx4Y1xSK+0SCntq91e+z1cKy131/DG4+w5qkQ+aZ132oSfge8bVtuNIxkWSwvh7VSUmu0UnHZwRMZ078nx/71HmRLSy7DmP9M2Fl9z1w3l11M5Qp3BOPiE+I8v7aNyVw7zvupKuY7cYZEM0yIN9LDtPXj54ZM377fW+aOb2hN89ibH3Pl4Xtw8UG7FB3mSplCImg22s6jnRVf+QjmNUMgInrs9h4zlHemzwagd20VtuPSkrFpSmepTPx8BLNfBD744AP++Mc/Eo1G87YPGDCAJUuWbFCbnQbrslgUK6Jfyn+ddSRnekU3mtJ6BfvkKQfpcJrm5jaroi4VIRZke+ZTaDPJr40kqXGbA1+2ct1cHWoIfJugH2T/43/Xu7S9zJjMMiK9lO2bv6eL08T0WE8+ig9kSbQa2W6KzhBoFyva0YGsFyu8s4sDf5JtD0A3NFlKWIqZMYqZuwvEdSVPfzKVs+9+iqN225Z9t90s/xjXzU2k4f8LWbohE7Y+tz/x5qpC+Uxw0wNVPylK2Jec55stoqn61yWk6zHKHf3xADuo3OWXjAxp5v7xZgDqIaKZcoPSmgHg+wxy5Yd36T6ZdjooxRn2XQfDofJN9bmFg5cqNbyo8fvnkayK3r/QIiGwnBTxPfv7hZO85PWpoF0NkrmSnPnXoPI0U5FNs8vmo1mypoHH35+CcqUGI9PU740hiFoWVxy6G3OXr2bW4mWhhZoKFhF+AhV9EkNnPsvjE+RIgCkpmGGX8V66mtUywsaxFiYkmukVsXNTlZQ61JHQd/CSpOjn0oonEIggXCtPfD4EUOO2stYowgovnBfaIZQh9f0RluktYrQr8LAtN0J6+/eprQx2X9nYTEX85wvd+iXOWruO3SJ8psWLF5NMtlOtsh3p1Ig0NjbmtGpDsO3gvuw7djgAL0w6nIU3nMneIwYghEBl0nwxeRoA5TH94JqGoCmVKQ7U4YdRqZwpVSnSIkKrEaPG8arV+L8VSZoC+aAcBuzCMK/w94hyGJRZyXatPzDAXsv8SB0fJIYwL1aHXaQ8YiAdAbXft/UgjXWYMMEHp0LSUNuGOtZ82+3I+mrjBRpZ6LNg5VrGT7qaX//1XrbcaCjX/e7Y0LV4YVmpJkSQ4MSLefUJZWFA9YEvNEEXB1EHP21pAKZhc62/PfDPGvnA5toaIP2/hR/X1ixy79yENHsNxjZGNqWTsbgZTDulE4O4hSFcuftTmLbUr3Ptg53y0nsCodCpQn95eHGTX8hEX6cIiF6F72KhdSEYbz8MzbUDYMo7JtxG2OSdl25U5S1mhGPnV8AChKNrWe84ZiT7brMpJ935D3a+4h6+mLUQpMrjh4wZoGPvv5w1H5Fq0Ul5vPhnFYkho3H8utRB5jHQ5/U4FU2OYGq6jA9ak2Qw2DzWxBaxJrqaTu4SwwvDsJieG8Dyao0bBktXr0MqGdROKCW1TgtrwiFc62GtC+YtQ+SuLXTPNunbg5N31Athv+AS6NzgyZ+TDf5L6Ba77bYbN998c/BdCEFzczOXXnope+211wa12WnNujIRCxGFcgPZvbyMmrJYwIpW8QSnPK7N4k/84SgmX3cmzeksf3tD+1LaNdsWEMzqI+Uk3RSRwiT9PvPXdVH+BOhp2MK0EIbRfnx3ETFdh97OOrZJzWGUvYJVZpL3y4bxbbwXDUaiLUWnVL5sH0h/xMqw07mCOwPenXU9hMXvu3+NpWK/S2kDwVfFabc/QXM6w7u3X8EL115AddjKoqQmTkXjyGhCT35+TGyoPRGAawh8XcfL6Z0Pon6CjgB8Ata3m5/z278WyAMh3XYnPo4H2GGztutgZFsx001Bf8xMC4aTwXAymF6cMEq2IdAEyVU8YPPTeIZ/903i0oiExkIXB8lLDOJrxOEFQtiv74cy+dftm7T9xZE39rnY69CiRhi5fqlQkZJi4+q348e6+1q5FQnM1X74lLIsVCSKVVbBU1eeySvXX0SrbbP9JbfzuweexwlpKTVlMbYePoB/vPs5KInR2hQw6mU0Frgh8orcSIkrFUuyFp+mk3yWqiAiFBMqWhmTSFNlFvj3C/MBhLPEGd7CQAhUNM5tz77BmGPPpbaijKO3Hxe69LbvZI3bQr1ZZD4hZBksVcwI9MLFM3sXi/S47rBdeemcX3PYlqODbd0qyzXBbMXS0u3+hKL4CTTr//FCHjfccAMfffQRo0aNIp1Oc+SRRwYm8GuuuWaD2uwUwUxr1lF0YXVAKmoqEmwztB9NWY+FaZoIy2ThspXUp7QZqioeZ1Tv7mw3ciBfLVjadjIvweT2pT6SpNouwiYPv4RKoVwHYVo5kPQnvjxuUYg8U+qcUq/nujqNdM020GTFWWTV8GVZf8pklj72OnraDViUANNCH2FhPe0fk8a0U6SzH7dI6FT7pbYVOe8zH3/N21/P5IVrzmeLUUOC7UGokZ8RSkUCN4dmg+cqYeWxkDsQ4eq0lAqpY289hrUKF3mhgKQVAun86yqhVQF+OUhcN6dBCi/MzMkExSDceLlXi9rL8OXamFldKtGNJgJQ8cEvnDxF+NWqhE4iYkoXJ1qOEgLTzXoFNmSeKT1HehI5v2qbQfIWumgiFoASZshUXXxxJ1C6jrUXoy68zGz6mDA4y7y/wSILN49/kKuLbniA7i32LQtlWey4xVg+GjuKB15+kzNveZihPbrwuz0n6PfAhWO2HctpD7zAlJlzGLfRcE1QtCJ6LEwTRQyhdLRHs2uwKBtlqRsjbij6mBnGlTlE/BwNwtARIXjPUF5ucIOgopdpghRBBTCA5WvWctkD/+TXO2zGnw/fsyivJyxJmUZi0EKUCpkpvWMpa6AhcqGtwY+5e2ZaJjuPHJgH5KZlkYzHaGzuZGTOL/KjpU+fPkydOpW///3vfPPNNzQ3N3PiiSdy1FFHkUgkNqjNToF1U1MTST+xifcQlMUifPzDQpr9zE/xOEayguyaBbnj6hvANBnVtwf//OjrNmYbKADsgkm03ipnQHpl21Uu5AM2BBp2gBkh0Ea1vygIdYYgbAtIOmlGOcsYxgqWR6pYHKlhVqw7PewG+trrqPRCv9o1G3cE1IWacyh1aZv47iL7lbyGDZFSx23IIkMIPp4xl+F9e7LrFmN018IanXc/jHQLKhIPYl2VaeViowFELqlJHhjhmVQhf/yDRDkuCH/xpnIgUYJspTVbNzc5CxHEXheKNE2E6yKjcW0Sz9q4cZ3QxI2V61hpX5v0r1eqoG0fwH0mu6FcXQQj1D/Hq80dDoEKwtZC4VhtwsLIX3iEQ9byd/JBWwSaeZi4h7dQEh45K/jNA+2cti0wZAFAq/xrReZM+/677FdRa2uOV7iROAYZDMvkNwfszlczZnP9i+9yws5baNeaMDhs6024750vOPDKu3jr2nMY0kdCTFtolGkiDZNlTozFdoRG16CHkWFcrJmqiLdYV+TelTD5zSRXeSvolAj9ngsDW7G2gQPPv5Z4xOKvR+5FdXkujr9oISGpl43Vbiv1ZlkOrIv4+sNSVNHwF4t5t9SLfvEsAe9efAKGoX3aFfEozel2Fgc/ofzCBtdiWVZeqcwfK532WSd9M7jQptGoZ4rJugojHkf4YB5a8W251TgwTeJRi1TWRpVYtef5lb2/jhI0mQmqnZacaTSc3zoMvmHfn9+WkhrAfX9dAfmspBTREiwkfex1bNU6l81b5wPwRdkAPikbxPxILWkRWvO0B7CFUjRjUehaOloEdJaEVjjunSWaddafVgjyQiCl5MPpPzByQO+2+/kTjeuirFigxeY06nyyYdifmmcSb2PJMHJJdcLdCfzcITaw34+QeVZvC/3mfw/9piJRPZkrpcOQHCdgMvsmbBmJI6NleuGByCN7hc+RR04L+ZXtSAIZzsBmWrnsYXkcj47vY9h1EJYgA5oP+q4TaP3hjF/SK3cpnGzIRK/BEAhKioZ95rm491x2Nj/dqPAJhJ4p2b9vyjRzC7jQYkAoxYXHHUJDa4bbX/so6H8iGuHZM4+ipryMvf/4N5584wNWLJhPfXMrM5oE7681mZuN0i3isn1FC6NjrVRHCfzMyooFyVL8e9F28EILvCCEz7vGTJoT/3Iny9fU86+LTwqAukPeCVDttrDOLGv7Q3suK/9dLGJhKjW3bT6oD5sN6AmGQWUiRirr/KSFJUqJ8qI4ftxn/cH69ttvZ8CAAcTjcbbccks+//zz/8DVdV6+//57zjjjDCZOnMjEiRM544wzmDlz5ga312mfdUU8R0EXhqEJY0BVXR0iGsUoK0fZNv3qqhnZq47Dd9yCZE0NODajB/dndXMrlzz/HjIEAIXabhiwG6wy4tImruy8fQpJLqWkI4JZG9DOt5m3Mef5UinTbJRewg5NM+mXXc1qq4IPKkbwRdlAFkdqsIsNaYkUpUWlRCKWkvKfyHpWKG3KoJZ4bHz/pxA8+NanTJu/hFMP2St48Qw7reNfi/m8vdzeGPkvqp8PvBhBTPt+c+SwvBc8HBYWAvhC8l2u1nJIK/Q0k6LaqJQo00RZFsK1kbFEAES6E7pdv3qWMiz914riRhM48Yo2GmU4qYufwlR5scrSiOjjvUnMN5X7daZztbJzsc954i9GioCRn+vbHwdpRXNgFMo5rsyIzggXhKGFSW35C41gnPy/4ffVG1tdbjPEmpahghq++GZxw6RPr5707FLNnOVr8vpflyznxbOPZvCAAby7zuAtevNFSxlGqoWxlS5b1yr6JxRR00BZHjAbpl4UmqEiMIXWlgJLn7KsnOnbsRHZNE/9+0Pe+XoGD55xOKP79Ww77pD/3oRiqaudVurNRN7znzcfheKrw+bvICFLeJ/2JDS/+ub5/1/Dt5566inOOussLr30UqZMmcKYMWPYfffdWbly5X+lP8888wwbb7wxkydPZsyYMYwZM4YpU6YwevRonnnmmQ1qs9Nm8MpEzsSDEKxr1Sbg6ooyRCQKjoNRVU0immLKA3/FtaLY332DMAQHbLExfz12Py54+EW+nreYJ089NAD/NkU5vMmq0UhQ5ba0NYGHTaEbQp4qJe2BYthc5okpHXrb9fS268kIS5vJo12YEe9FV6eZnk49dU4zZlEqyXp2rdAk/lNIgRtBn6iI/zkcphZeGIT3Cfkh01mbw/9yD69/OZ0DtxvPdqOH4aeAVIap84X75SELr8kHTMi/11Lq5CNFAE4DMIG22+Za8J4xH0dULuwon2kuATOvH7rPoct07TwfdXCsITAzOmJBmRGUkhiARIOND7r+cySsHEkuKE8Zi+RdnyHtYHzsSAJT+gxqIygkooE6nDJU6ogMYQbvkc9uz7kSPB+tT8j02g0WHAXPue9T9wulgO5v4K8u2B/hVfkSuTSvvltDSKegSpqBEE7gJ/bvexBv768vvHGJh/zBKRFhWayK5QOGceZF25JsWc3jzz7Pwy+9znVH78VvjzgARQw3odM6GplUro+OrS0khEz+BZpzcP2WlXOpuXbgrlm4Yg1dk+XstNHg4gvqdqxSVW6KlBHDxmxLng1OrNoqFAW/l5SwZcN7x8tjEYTQVtKamprSx/4E8lOawQvDzWKxGLFYW17AjTfeyEknncTxxx8PwF133cUrr7zCAw88wAUXXPCj+rIhct5553HhhRdyxRVX5G2/9NJLOe+88zj44IPXu81OIYBt21iGyJvcJ89fimUa9K2rBsPAWbcOktVQXoGKRDFTzTjNLbitKdy1a/j9blvx8sUn8c5383jmy+9yJrICf4xffashUk6l3ZKnBbUrPyVwF20/p6kXSkw59PfM5Nu0zKFCppkV6857FcP5Jt6HZWZlvsa9nslVSgL1j9WqOxN77TPCw+UyQyziYEIwTTK2zRF/uYf3p83iqUt/x2OX/i5fgxYhDUdfWO7/wvvnh+YFrO78akqFnIQ2QB0yjQdZwQpM6QHj2S+Z6B8b7p+n7QrXRthZjHRLsJ/wTNQa1C0dzxuKvTb8uGpf+xRe9SoziozEg37l6kT72rMbxFfbkUSwqAjisEPiJ4CRwkQJE2XqYh9utFxP+KGFieGbst3cQkD5aVFNKxfqJYw8TTzMPC+s2hXkPQ8TOwndI3LuAX0+I9+y4ftdvTA83z2Sdy8NgwMnTuDTBauYY9bwWdlAPqwYzjqP07JD/XS2SC/ipj3GcvRWG3HxE/9i5by5iEyrXjwZZsA29zVkEc5bH+qn7qPILXZ8/7v0+uYlQbEsk5RtI8MWi45cU75bTdokZIYGsxNEI7/ATFCMJ19JKZyPRKF70HtHDaWwDAPbLrBU/gcknBDox3wA+vbtm1et6uqrr25zvmw2y+TJk9lll1wyGsMw2GWXXfjkk0/+49dbTJYtW8YxxxzTZvvRRx/NsmXLNqjNTmnWyWSSZaEC8QDLG5rpWVVBbSIaTPhBmcL6tbhrVmHGNIM8u3INkeosEzcZxib9evDB9/M5YutNcKUkbuYerrDputEso19L6KJ8P2dotdhGu/Yfzk5Ke0lTfOJbMXBuw2IPgWm5yjIku4rB2VU0GXFWWpXMi9YxXfSm1m2hm9tEV7uRuCriO/o5TNrFpJiWXawvxRYNoeP+9NALvDN1Js9cPomJ4zcO2s0zb/paNbQFaP/+hfyVensog5ZvjgxZO0ThfRc5/2eeBg4Eho5S/l+V87/62r8yTIxMa655pfIWAMoQuaQZIbO8b36XHoPayjThxJLa/yxdDNMKim74iUd8trfpZnWhDOUlcREi1Ec/NCvrscr9il2Gzh3uXZe0YrqqVsTLuS4MbeUwzAB4g6xwnibjE87Clg/fJw3an5wzkevuSGEG2r4UfpKW0Lh64KwKqnvl3BKhBbsffy2FngccwcqUYueDjmSbAwRzWtYyinWMdRYSdTJ5ljbDgMsP2Ilnv5zB1c++xU0nHoSZSOKUVyGjZXrcXAdDZYLnwr+OPDN8gZtChFKaal+7xaylq1BK4biSiBVyPxSGOhY8X/58UuWmaDDL6GI35p47wM/UqKQMrFnCDx3zFxPtzFsUe7eUImM72K7c4IQc/y1ZtGgRlZWVwfdiWvXq1atxXZfu3bvnbe/evfuP8hH/GNlxxx354IMPGDJkSN72Dz/8kO22226D2uw0WDel/VKH+iFIZ23iEQtcF9nagpmswC2rxFq+WGvZgDBNpO0gXRdpOzhr17DP5htz/fNvM3flOj6bs5i/n34o+4wZlne+jBEhY0RIOq20saZ4WlZAJCokFIWBvJNSCL6FGdDC0uYFKaH1CrR/u9LJMMRZRauIsNJMssysZGa0B0mZopvTRFeniQqZWT+jUXug3p65vIBtnyeFgL0+4WZC8P2i5dz58jtc8usDmLjZRoHpO2fCNgKTKPiTYzt9DJO6wr7YvOiBUJiN0bZoRl6qT28ybsOeDvkHi4qvEZdVaq06tF8uj3jYNZOzIvjapOFmA/OvlW7EiVcG+yjDygd3RbAICUzehRq1MFCmgSpM7CLI13p9cPZ92kJoTdN72nyNXxQB0sCcTU5Tdq2YV+M7B+bSN/OHtHIFhDOuhWtm6zEPWTeEAJUzR7sK1roWKx2DVXYECXSNSDauVBx0+gV0L4/w3NnHBBp3YUxybbKMc/eawJ+efZuJY0ewz861mBHNpHejZZhB3D0o07cGuPlAXei79gAULzzshQ++4JE3P+HOkw7OAXVhVsOwS6mImbzKbc0lRynwQ+eFaUHeuxqekwoVCuERLIspGY0eEzwMfP8pUUqgir7c69cG6P7+HH3+qWW//fbj/PPPZ/LkyWy1lc72+emnn/LPf/6Tyy+/nBdffDFv385Ip8C6srKSdRk/N65+SVoytk6tF08gV63E6tYdM9XsZfcRKNvR7G8lEYZAZrIY0ShnTRzPS59N47M5iwE4/PZ/cvrELbjq4J2DB7/JKqPMTWOFzZlhCYct+C+S/0DLghcNOgXcHbLEf6SUKZsB2TUMYA1ZYbLKTLLSSjK3rCsR5dLFbaGL20yt20LMc9aVNH+HV+6FYNremPlSbDzWJ4lMGJw8uf7p1+nVpYbfHbRryCwt8T0twrFRpokoUjs56HdIioUk5fWz2H32myoGyn6bBYkyivZD0FbLMgxkrCxXoML76/t6pYjiJssCJqzlpD1CnR2EaClTM5GtdCNOTPtSZTThaZMEE7vhZrBjyVxYlVf1ylA55rXfnjQsHd7lSN0Xob3lAaHOvw5PG87zJSqJYWdQVn7+4mC8/NKZHqhaTlqHmOVppSpkUhehxYOJ8KxHgUm9DWjrBCDNLqxxLNbYBvWuSVQoulk2m5Q5VFkKw2OK//6QXTnh6rv5et5ixg7oVYQkqvs1afdt+GLeUo67+TFeq6xg/NB+qLoegXYaWABdWxPnzEhQ+MMvKIOXxjNPrAjT5y7k1JseYr/NN+LYHccD7Zi9C/3/ofaSbpr50bq2xxQ8tz4A53LuF3JHvHSsvtVRCJTr6m0B90JQn3YwDYN4PM5/Xn6KpCadP76urg7TNFmxYkXe9hUrVtCjR48SR/1n5bTTTgPgjjvu4I477ij6G4AQomha0mLSqRFJJpOsyYSZjZLvl61icLdaSJRjlJdDbVedBCKTzttPd0iv9JRtExOCf519FN9deSqtT13H6Xttx+1vfU7NaX/lox8W4UpJk1WmtWo6AaKlJvVC0lqx/TrrD/dkfbOi6X60Bdaocunt1LNpehE7tX7PxpklRJXD/EgX3isbxifxgcyKdGONUYa7IUSNjhjkxa45b7xKHB9myId8yQDL1jYwrHc34gZaA/EXUSHzcjg/s/K10LA2SshvaJh5ZKTgvI6dW6gV3I9wuE/htpLXWkwKfLD+4tCPNw6zz4V0Mew0ppNGmhaOFQ9ioTVDW5fxxN8mBEI6WNmWfL+wn4Nb6LrbCoEhHe9Y1TYBiZIe49wzqXv7mj7o+ExtYeRMy0WuMzBphxI9hlM+GqFELdovLgIfdM4PLZC+/13kkrXkcQk8DV64LhnbZWlaMK3F4r3GOF80x6l3BN0sm63LW9m+rImRkVa6iIwm1rkOSggO2mMig3p25ZoX38sPA/UXYEohDAPDENxz/L4M69GF7f94K8ff/Cju6hWYLfUgBDKmw+oKn7ugGph0284fQjB76Qr2ueAG+tdVc/fJh0Ap8mj4PSkhFU4LGSNKFqN97kgovC3/1hmaHR7SpovOZx7xcpktKEsk8gqk/P8i0WiUzTbbjLfeeivYJqXkrbfeYuutt/6v9ElK2alPZ4Ea1sMM3pJqxSswCEBLxmZQn0pkNI4Ri+OWVeqwEtMMJtNcWjxdtUpmszrmL2JRWVeFam1hVI/a4Dy7X/cIB48fxdnnnEOllw/cN+mUBMpCv3XeKrTAPF7S1Flke0cP9fqws0tlIDMEJoouspUushVsyGKyxixnjVnO9GhPssKkRrZS66aolq1UyXQ+w/zHZkeDzmnVvpZQOAEZBs99NIW3vprB7WccGRpLCa70fLn+MWbueM+PWzj2pZJ36B/bAdlik52XElKEwd0oMjnmPT9mzvUSWlwIpbwa2vn9y1WeMjH8XOFo07fv65TROCiFlW7UlaAAGQlpOAXWECWMoC41oIHa812Hy1kKYSJFroKV4VWSCsdO+37hgDXuAXhgCncyGmjxF1HhnN658KmASAba9K187doI7d920WW4NhlHUp9R1DuCtY5FiyuosqDWchlb5lBlSowQh0M43v1yXY/drs9hWSYXHLkvJ9/wANtedjeTdt+aA8ePxAprwd79qUjEeeuC47j//Smc++TrHLj1VPbbYjQikdSLCtME9D3wFzMB4Lk2yCzE4kG7i5YuZ6/zrqW6PM6LF5xAdXnCe0Q6BuZiElGSuJuhyUzQxfVIXwUMcOE/q+GQLT+Eq407TuQWz0XM4GtsRUViw6t9rY/8N5KinHXWWRx77LGMHz+eLbbYgptvvpmWlpaAHf7/g3TaDN7amqLFjJOUGkQjpkFDKq3Naz376UnEsVGpFJimTi/oV5uxTNxMFum4kE6DMDDLEijbZkCXqrxzzVy2mmarjF7pVUAHmnVhiEIhcPvS3m+dlFKEsp9aorj0ks30dBtRQKsRZ41ZzjojwYJIDTYmVTJFtUxRI1NUu61Ew+lPO9O3zi5EChcAYfa19/+fHn6BG555gwO22ZTjd9k6T8sJinJAYFYUhoEKJbcJfNjFVphhzVwYbeOISz0bhUxjf1vRcLUCk75nRg62+YqhWfxVEdLN+00opQt5OFmtJcdiwbMX9EeIXAaz4Fq0DcV0shhWNDA3+9aIoPKVUghpe6xsnfLTjpYTybYE98XPnuabwnX8dMh8L3JMZxnJLUA029wp4BV4WrYIcwLCoFygnTppUrakPuPSkJE0ZCElDZKmotqS/4+9746Xoyr7/54zZdutuemFBBJIofcSpHeQqgKKdASlKIoComJ/7T8LKkoTVEBUBEFBepMWAgQCgUAS0uu9uW3v7k455/fHKXNmdnbvvclNgPfN8/ns597dnZ05c2bmfJ/yfZ4Hk7MMwzIEDpTnhesc92j+YYCf8AzQSgncdvHJ4w7DyMYcfvn3h3D29X/D7Ttti3986dMw2+qqOc64Dj576F64d/Y8nPXL23H/1ediZutwsHwjwBhoqVfkXJuuatsW1zRbiEh2fhmnfus6UAD3X30+RjQ1yEvB0l3gNeLUMeEcjWEJvVYObeiuvTYlQjbaLW5Kkruj3hvzsa7C0WjW5d+E8n6A9amnnoq1a9fiG9/4BlatWoVddtkFDz74YBXpbHPKrFmz8Pjjj2PNmjVgibXqZz/72aD3N2DLulSuoMNuQGNYwp+feQUvLlyOGz96MOiaZWAjxoH2rAdbtVxYwZYlm9CHYmEOFXCHYIyDZqIY2V6TxmKrtmYsae8CAOwxeTz6rAwaglJsDHVTFNT/aQu+CdRphDTz98CA4ttVUitObMpA63ubwyIUDdxDQ+BhItaDQ+SXrqc5rLfymO+MQNF1UeCeAG5WQjM8FLi34Y+KeR61xiy36SxV8JO//QdfOPkwfOfMEyIXmwmKmrXNo2tgwfhfpg7Z1Ra0yJ1G/3ObGuJgkZfSdGf3G1Zhccva/L2xTYwtreLYRPS7poEHcCasZ4OBzWWZUlAj/cmM4yqLMvBALSZysyGIYDTw4p2rwAAWirKcTCo91Ilc1wQgQQVhthGMWHDK3dHvVWUyyxE11FEdOoj14k7MgUnWCxhHrxeipxKguxygywsRMqDJJWi1OcY0MrTQEDY3iGmILMVYKp7pudGfI8oCke7+I3edjiN33x73vfA6PvHd3+LmJ2bj3AN3iz//lOqf33P5p3Do/9yC7/7tETyw8wzAzQK2I3KtKyVwNxOFUMIQPJMzOsCFePjx/+KVRcvx4DXnY9yw+mxqYjuihW9CqmpJQMSte2hWv0+NwROiXdn6MyB6xsLIC5HKBJfzsNoDmkdsnvjt+1Vu9JJLLsEll1yyUccdKvn+97+Pr33ta5g6dSpGjRoVCz9saChiwJZ1sdSHdXYDJlbW4jM33QsAOGbn7QDPQ5gtgK5dDlYW8WpiWZLgwIUbC4Cdy4B50tXFmSZB5CyKp752Hnb66q/RnMvgpI/sBZuHyLD6+YDaNa6st1qu7DSt05Q0F7BJWKvaZw23bIKtGz9Gugu8lqgiKMliKASCqJYPfYwLRcqHBwvr7Tw6aQ7L7Ba8STIgABp5BU2sjGZeQRMvo8D9oa22SwheXbgUAHDm4TPjrkggrt1zSTRT7F8WCIZ4jRakJjNZjzlNyUr9cUr8u9aJJ9Jb4n+rjxUrykJtfY9EJUNV3rYs8mGFUVEVzkQqFSrx3yREdQ3jnAEO1bHe2PkpJSEMQAPJNLcccDDQMNA501wCdXKemeUIsps8p1iOuWFBxxWSAAEn6PVC9HoMPR5DjxeiFDC4FkGjS9HqAhMbLDRZoigM4RD11RniddZNjwkAlcecmuuuvAWcg3hlqfiIMR138L44Z9bruPqOB3DYDpOxldHDGdKtzRlDLpvB5w7bGxfefC/WdHZh+IixCDMFWACIV9bEQ25ZolCKUr4qJYAQ/OyeR7HH5An4yPStq65XbLyWBRQagN7udMNBnbuUQljGukwE/soA0aCtFNwk+Brk2pppXMbzV4aN7rKPlpaW9DFtkSGXX/ziF7j55ptx9tlnD9k+B2xZM8axOrRRCsTN8ekDd0fL1lMQvvMGrHIRYYcoBUgdJ8oRBMA518BtFXJgFQ+ccXDf1wUKhueyOP+g3XHzky9ju623xuqwLB7uAXWairTSqhs26YpVUi9Gm8YipjUAuuY+aljayfKD/QC2+luveplLGUaxXoxivQChYACKxEU3yaCbZrGENqOHjBSpZBLAm+ChgQsL3EIN9zAQH19yceUccxYug0UpJo0aXq3cJMMG6hh2FGOFJcpbcsQBicvce05tDSrgHBSGAhdb0KK4cqqY1yMNEFIUMJMMpxOKKY3FqMVX1RXRmB013VBVx9S9yNy8KJxSKUX3p7Yy5bEDH4SLmLfKD1aV0PSQVT1xmSstUpkcMDsDAq6JZ2JMFH62CXZFdl1KpLRVCWOoMKDoM/SGoQRmhr6AC2B2KBpdilF5Bw0uRdYisvypqspmhJxqKdKIQFGT+VQqniqIY4nUUFgAmLBydaczSkHCED/43Bl4ePYb+MJt9+Puyz+l51Q9s+rvzpNESdB5S1dh/+k7AZCdz/LCHY7AB2GiZKuqtLdi9Vrc8K8n8NQbC/DnS0+PWURpVcsIoeD1gNqYXwAoBCUU81nphUybIMkLSEstTawfMeMl8fsOuwBW7EJzczzkuKlkSyMPUZRl5syZQ7rPAYM1AFT6ivj3AhFLHtM2DNxxQXN5kL5uBGEYgYpBelIucStja2Yj933wMATzPFDHBmDh1L13wM8eeBbv9IUYUyhFxQUGANhpedE1CWkDZXQb1nV/rTw3pQyqzCgXFk0jPDRyD+OYqAMcAXgWXTSDpaQJvcRFAIo8fDRwHw0SwBu4jwIJBJGwHnmNEOy//RRYlOLiX/0JN33pnKhMqPw+7TcadHgIeIK/oK1sy7ACDRBTbl/VzEKQqFAN1GmKlAaCGkoWSYxXxoJTvSaMRcoDInCuOlfOQVR3LQXYqq0mF+Atqvz1IMwl3Koy71edEwm8qvk0W2kKwGWihnq5KOqWS6AGZ9LiBixfNumwbH0NOCGoMKDPZyj6HEWfoRgEKAYcPgOyFkHBIWh0CEY222jM2MhYisUfV3CIugaxeYhctZpFLpWz2Lwa8xuzupl0i4eIqoeZgNTXi8bGZnznrBNxzk9vwWtLVmHnSWOr55MzNBVE44wV63tgda0DGzZG3I+2A+5mQQCwTE5XoCt7Pg7+8o+xZO16fPmEg3DCHjOMy5vuUeNhWHWf1ePc5IMSQkJRsVxkDU6CXveSYRvpFhceg34sd2WRE4J2pwm82IXGppE1xzKUMpR51h9Wufzyy/HrX/8aP//5z4dsnwMCa8dxkHVdZHo78Ei7WCguOvYjggHb0gqU+wSoUHkz2Ra4jL8RywKhBMR1xU3mG/najOnPM5I5TvLNKAQy/asfoO63aMkQpimkKQJ1lYOBxLH7kQ2uB67jxGJ8lFA0cgXgchNCUIGFXuKil2bRSxy002b0wgUDkSDuIY8Qee4jRwLkESALlb9rYfdtJ+LGL56JM390M06euSuO23un6jknNNa7OOb6VZahFTVKMNnF2s1spgABVWS0VOuwv7lLgrSOb0ekMmV5mhXXiLJytdVteh+4ViaENyGylsHEtqqnM6cWKOdGRTAqEik5F32ZpRVJFbvXdE2nnAcJZIqTZA5TT6Q+0mIXSg3DUQqAssfRx0OUwhB9Pkcx4PAYkLGAgk1QsIExeYqCBeQytigxHJtnFnHLeJQOVtUfXIVX61nUppIVC5+oYjqhYGVTg/CHhOWYyYJwjlMO2gvfuPUf+OWDz+Kmiz6WckDRdQoAfnnvYzj9kH2ENzArCFfMzYAoZREAKXbjN3f9C8vbu/Di/1yGHcbXICklyWU1gNoso2yeqwWOHKug6OSRDXoltyexj5Q4vPg/cW1qGBMhCNY5TWDFbjSNn5K6zRYZerniiitw7LHHYvLkyZgxYwYcx4l9f/fddw96nwMCawBoLOTQ0LsGBxx0EHIr3saYcWPBy0XwfAOwapkAaCN9gtgWuC8XLsvSLhpCCQi1wYNQt9Ukros+T2iWYSaPPG9PrcLTnww5UCdJHerjlHHVK0Fas2hCiucgLVZdU+opM2nafyL+nUWILKlgOK/oBZYDKMNGL3HQCxd9xMEqUkAfHJRggQLIwUeeh8iFAfba7yP4+LHLcd+r7+Ko/faAzVMWF9OtCVR3PDLmTYGbLqqQYPFzA/xJGAKWYyxo1W0oox2ncRNkLB0wOA1RTXLCeZQ+ZJn7llkOlT6RzhXzBigrP4Rmb8n55hAeApUexdyom1a0oei4BSpdo0qplcclWqmRXh9qgZSKqHCgEjAUOUU5CFBkBKUAKAUZVLr6YBEgZwE5GiJvA6OyFAXXQsEmsIlIsRKKhDg3RuONONQxTde1TiNLESJJeMmKcqqIit5PMpyhrGkT3CitzgTgXLus7YZmXH7SYfjiDX+DRSn+5/SjMKyQjZ5HztCSz+KwHabgyXmLsKaniJHZPMJsAczJCsWGEBDfA+nrwV2P/Bff+PP9uPDwveNAbTyv63v68OSbC3DC7tNTCUNphNg0klmeeeijGbShNzpGci6pvOdN74qR0ppW1Uxtu8ptQYb58PqKGLmZSo1ucYMDl112GR5//HEcfPDBaGtrG5L89oGDdS6LclcH1qxZg90OPFiUX+xuB/qKglgmyRlmqgEhFJxwWA2NACXgnhcttBBWN/cDIAtMHjkMU0e3oeLkUF7XCe4m4rvAwGLY/U2KurFrubXTvq9HONsEMuQdtqoPkP65BIUcDZALPYygpcjKtCwwACVmoY866OMO+oiDdmRx7EkfQ6GpGY96LmwwZAhDFgxZEiLLA2S5jwxCZEGQJQQWke0c65xnKmhL4ZYDUYlK3L7EKNcpfsvBSfWtXVXBLIQGZd0ik4WAzjkm8YeMM7Ggq8/MBiFKqUghuInzUIArAJY5WRAJWirubTbJELnAFIxyBH6AMgMqIUfZIygz4b4uM4oKY6iEOXAADuHIWQR5CuQoxzA3RMEqI5vLwsrmYJcFr0F0kgI4JaCyiIo8eV3+lIRBLDQQU/hirG0DbNV1SwtJmPtIur0V69nIr9b74JCpgNKqN93gnIF4ZXDHxUUfOwaFbAZfuenv+MesN3DuQbvj0qNnYvywZgFgAG656BRse/lPcdu/n8QVnzpBdyQjvmDwv71oGb52w524/8XX8cn9d8UPTj+66h4C4+gtVzD1Cz9Cb9nDg1efiwNqEc/SROVMS/Z2nlXQR4XRopXO/ta5hAJrevpMoOYAlmWGY0JpLXrLlc1WtnMLWAO33nor/v73v+PYY48dsn0OGKybRo7B8vYuPPDqA7j43DMROhnQSgVh5/qo+ImZagAI61pZKXZWWAVMMMFVDjYPQ4TFIhqyLv799YvwejaL2x56BtccN7O2RToUkiRV9ZvS0z9gx6zrDXCDDxqkB5MORmooH2nnXWMuKOMoIECBBQAkr4BQHPP5r+DzJx+BL33iaFRgocwpytySL4JO5MVngY0woCBlDpdwOATirwW4FhHvqSBBq78W5bAJYFFo60q5otX/jMpYtrSsecL9GgGgYa0CkXWnGNzqf6hYuWHJcB6vV6VyxJW1qd3oBlHKmGtCKULO4FMbQUgQ+D582VzBgwWPBfAYgc8Anwn3tM+AgAOABZcCWQpkqHBbN9pAm0ORsQgyFkHeK4JksgAhoJ4n8rZDHzwrUoNob4f0ZkSWPzFTjCjV5xhTlAhqA2+CGKfDADAUFTP/mSvrGtHcKAmDam+QeX9zDr1+E2NcvugkFjYPx5kfPQxH7bANfvPvp/G7h5/H9Y+8iNP32wnf+sQRGNXcgLamBpyy1w644eHncPHHjkau2Cni+6GP2W/Mx2FX/BCjWxpx80Ufxyf23Qm0hkL/ywf+i5LMbHl3VXsVWNfyCGormBBttORDDx1OQ3wu1HkbRLn4AQawLnKObiuPIs1gTKUDPaXKh66Jx4dZhg0bhsmTJw/pPgcO1k1NmLNkJZ586hVcfNFn0Lt2DVqKRiNz9UCmMCFJNgfW3QXaKDQ7QkWxfzAO4qg+uxyZxhaUe7vxm4efwyUH74Zms4d2P6C0YaVAB+dm708GHbceii5bG1rBbCDeAlOhMRsUJMhFjbksKl4FLhhcMDQm49Lq97aNgFjwnBw8aqNCHHicwAeFB4JSCHQFAqQ8BvicINTrEodFAlgEsAlgEwaLEtiEw5L/UyKc2hQclIj3BACFqBRHCUA5AeFErPuhcE4DFhgTc9HuW7A4k64fKr/jCCkFYzaYyHAG4xCfgUlOEAfjAlxDRhFwikByowJOEHBlLXAQeLAJ4FKhsDgWg2NZyFhAgwM4lCBDOGyLwqWASxgspaCYxEcrKpxCSFZfV247ALcEAbRc1B4FdbV5SKPrmLgHhJVvKEVmaIGIrl6qBGmsuYgB1ABileO4JXthcx7nLOj6B4nynrraoOEqN61rlVJGLcBxtfLAsgUMn74jvtlYwBeP2R83P/Uyfnbfk3hk7gLccdnp2HPyeFxx/EH46zW/wo33PYpLTz0OhDGEpT5897Z/YERTA2b/z6XIpXR2UvLDfz6B7979KL70iaNxw/2Po6uvNCgCatJtnWMV9NFh4jvLAmeJbnx6jlisklkthUDVuQCApZnhGOuthw2GnvLmA+stljXwzW9+E9deey1uueUW5PP5IdnnwN3gjY3glXWoVCoYbgVYEDZgNyJr0jIG4jjaouEVT4MHsSzwSgWsXAbNF6LFn4q4NgLobUtWBsMoR9kPcOszc3DZ4XtXjSOZwlAVp64RZ06VeoBVK52p3u4Gwxof6naYaV6IZOpVVXGPGhq6OSfmQqneQ82NWBR2mzwBYZiyL2UdqbGwEDYFbFZBnjJwS7KrRUKunm9OiHZxcwABqARBBYaiO5MPipBxAYpcOJoDzsE40eDJ5dQwSY5lnIBzBUDGvST/vusJZrC5VlAF9ESAvG7xHTKhFMilxaUEOcJgWxw21IvBJhw2IbBsC8R1AScD2+sTsdsgEESnZOUu8z6W7FquSJzG/KoCwJr0pgCRMRDZvzp2LQnR/aw5pJuZUFFznVoRoCsgl2RCMUdG7Fq687V1rWLxnMfZ6tJiR+Dr+DepcdvVFDN8oTgRNtWgzm3ZS5yFCPJNoK6LxnwOnz9mf3x8/93wyZ/dhiO+fxOuP/9knLrfzpgxfhTeWrxC/JYx3PnIf/Hg7Ddx80UfrwnUveUKvnv3Y/jlA8/g6+d+HFd98jj869lXsFQWc9rQjJFcWEGJZuRloDFybkyM8GJa6lZy215mYbXbgn263wYoRU/Z27xu8I1lg3/IwfqXv/wlFixYgFGjRmHSpElVBLOXX3550PscHFjLEqAu97AGeay1ChiBclQtSHV/USlbfiBi1aGsGW7bQEkAO3UcsXDB066hiuWiiTIcuuO2+Ndr7wiwNm7IWB6hQbYBEBXNGChIm/8b+xQHMlzEQ5GyNUCX+ICJZQORtNS3FKs4BhLJXGQlaXF8TSakWNPVi+bG7lgIJAbUcjsQEqXfsBAklBYS4VWFO9SCTwA4lgNHmMiSjGVVX+ek4mXG9DSIBTH2MQkDQB4n4MBjvU3YJ9sNG8Z9oNzdqg93jUIuVcdVBDUj1sspABYgZDY4tUE4Q5jJg1miHGgVq9rcrZo/4/rFCF9AnGUtq6jFJBGiSe0XrgCdi/h1kmSmQwSyc5WgvFMwYosca/lep22ZedbKva7T9xKxbX3v8IiUyChAJRFQAr64YNDuZG6Lkq5BvgmgFsIxE0EXvgXu+xhbyOCh730el/z2Lzjnt3fh7VXrsMOE0fjPnLexbNkKfO3We/GXZ17GrpPG4tT9dq6+npTgubfewxnX3YmO3j784KLTcfFZp4H0dWGr0cOxpL0zuh79Zackt2EMWfhghMLnBC4PoyyapBGiUrbCUHomq3OvtdUehpjftDXGVdahEJQEWG9xg29WOfHEE4d8n4Nyg/etEDdSUOzGFLuI+ZkxaCutF7q9ToVhUQxbCvc8gHGwnm7x3vcB2wbJimL4CEMQ20HZcpHjIY7aZSouv/Wf6Kx4aJUF8/VCr6QWkNZZ8GpaklX5oTUs7pi1U+c4sd8YpJpahVLM4gaDBWz1W8YRq3wGC3BlWVczNplcwJNxwuSxk1Z2bOzCyrYoQeAHiCouJYBaxt80OSiM0veIsowgrVtpvcaubWiMXxdJUcBdQ5IkHPM8E9XQRP5vyj4UaDhupEyYAKTOKVn4Q8fIpRWZMk7CgsiVC0SxbiILryjQjbmNI89DtJ9Qj0XV51dKQlrvbqKUD3M+zDQ2FbvWbH1isLoVcFuyO5ewuonxXGgme2goeExY8GaZUtWdS8+z6nalrPzYXFrRPUUZEDDxl1JRLMXNgVsWaOjLJiPymQo4eBjC6evF7y/9JKaOGY6v3/5vvettL7gWtkXx+8+cgtNn7pLK2H3p3aX41K/uwKTRI/D4Lz6LCRO3AvwKCOd4d/lqHL1jSlzSXCfScvwNhdFmAWwWoEJduGGpejvDkOgvC0V9v85pQpddwA7dS/R2vZvRshahoo2zjDf29++3XHvttUO+zwGjQktLC/oqokDDa+++h3HBelAwLC2MlsApLWhALHC6JJ5oWwfOQLJZ0JZhEZhbNkhzK2ihAaShAWXiIMt97Dl5PELGMX9Ve5SykATmJHCnVUoaCBEDqA+2abGhOvutru+bsGRj+07fT1p1pJqifLzJ3zLpekypU5z6ezMmHR9M+vmqzy0bFT8QObnaGkpsnyS3qfvDEoswCYSFS0KRK0zCIBp74IuCH1wU1BDbiBeVr9iir624+Bi4Ko4CiGOzELESl7GNWfQy35u/VZajWbc5Zf5UC0ox16rYCROVzALZOlMu6FzmX+tp4zwCdGM/Yh7kPMn96RKZnEfnpdPRTFBMu58ja5z4HpjlgNmuTo2KtTZNWUSTFn7yO7FzGqXqqXGaoly7qr2q+QpDGceQ//uy57Rql8o5aKUEcAbql4VS0twqPG9hCO55IEGAK045Ak/+6AqcuK+woM85aA+89bMv4Yz9d4GVovjfM2suDv7W7zBmeCv+9KNrMGHSRNmjXKyD7V29GNuyEdaqnIMs81CSjHBQEvF4gMgTBQBBgLSOWmacmoFgfmECJvetEA1+KEUYBOgqlTd7BbONfX3YpbOzEzfeeCOuvvpqdHR0ABDu7+XLl2/Q/gYM1lOmTEFHryi0cOG1PwEFMLW8EgszI1GxMxqUiWVr95QK7jHfB83lQLJ5YVWpNpphIMpPFsQNr8C6KHOuO0uqOIqh+SeB1VyI0kRbe3WAO82STsb66pHR6u2/FvAmS49W7ZLF/levtO+T75V1nQTyAUsSrMQBUoHQr1Qwd/Fy7LjV6Hiv6eT+VKnIMBSLTuK66B7JoS/ARtbOVsAkFmwWgbYCEM40cJs1uvVcKBe4Oh/lAlf7SD3/6nsmdjz128AHCSq66pUeb439Jj8P8k2iOIrsY520wFUzDW5at3IuCWfinENfFERRc28CtbS0Yc6J6ZKWAFpdyjTQ1q4+phyfXkoN5SDWjIMQmYIWry1efT8kQzJyH7G8ax4pGOo3gQRqI+84moNA9xCH7YDYDkguh6j1ZYC9pm+DP1x9EQBg963HYWxrUzQmQ+6b/SbO/PVfcNLB++Cxm36MMcME0JnKVNn3kTWaEsXOoxaTW35nbp9lHiqyaYtuf5lcj/orYUoFf2hZ4xiAAOPLa/VvFq9qB0Cw1VZb1d/HEImqYLaxrw+zvPbaa9huu+3wwx/+ED/5yU/Q2dkJQBRDufrqqzdonwMG62nTpmH+ynWxz9rCIob73XijMFG4MCVAE8cRN6sshkIsC7RQAO+TPaoJBXEz4sb2yuJB8X1UqI0MD7Hr1uOx66QxuPKOhzRpLcpj5XGNeyhEa/8pysAGSN1iLoOwmpMAnfwsDcSVxFzp9Yqy1HuvxpsEbfU5gLlLVqLsBdhj8gQNqDoNJ/lbE8zV52rxU79lsnSmsl5Vj2blCjcsriRwExaAsAA0qOiXBnJpoUMBOguq9qfPLwzEi0XgrBUIqUyABaCyCYQeq/FKgrcCXGa7wmpVLt8UkE7eI/FzDKOXcU4qVYuoeTTBzlQSjGpyAKJzMj/zPVh+2ajSRiPrWV0LFsXYtcscEZgxKx4KS/fYsEhpV3NHE54oU9FTngYA6CuC54WSH+YawTJ50D4RZgszBe25IZYliK3y9zwMcfaPbgQAbD8+UX6TM6zrKeJzN/0Dp/78zzh2n11wwzc+D9fktKhQBOeo+AGydj8chn6EM4YM8zVYA4BKb1X/mw07kr8FoD2VvVYWC7KjMa13SWxhf3t1O6Zst10VyWmLbDr54he/iLPPPhvvvPMOstkoq+mYY47BU089tUH7HDBYT58+HSs6unDSPjth/123F2BAKGaUV6CPunjPGZayd8Vg5Ai7u43Ppctcu7U8sCCATyy43EfOtfGd04/GO6vb8dKCpXEXty6YYFgKA3V315J6FpYpQ5XqlQSxzSGxGLIlWgSmAb3pFq9lmRu/ue3xWchnHOwyaYw8L0Oh0uAt3ZjmwgzE/1eLsvF7EoYauAkLQcvFaovLBPgaL5iAZpCwYqCmFkdl9cfmJCKLCUs/jEqequOb+064z4lf0f2tlSuYW3Z8LGnKjTHfynoHl0Q5nRcuAEQf3/RCSfe5Vogsq2q/aa5+bZmrcw5lf+6k50LWFzfPXXtITP6DWaFOnYcauxKTuJdmWZpjtR39Pc83gtsuvMbh4NkCwGWpVV/WVJdcDnX+xVIF9z/3CgDgFw8+i85iFCf+z+vvYpev/Bz3zHoDP7/wE/jjd74Ml5DIs2Ncox7pZSwkLWtTNBdArJWxblqGuCyAZzSsSVuPqpp0xL4kCEHwWuM22Kq8FsOC3ug7xjB/VTumT59ee5xDLBwYAjf4h1tmzZqFCy+8sOrzcePGYdWqVRu0zwGD9fDhw9HWWMAL7yzGdpO20pqfFfrYqbQUCzKj0EkFGcwsO8p8X6QjyJud+4JspuPWcls/3wiAIANBkjpwxjYYN6wJf3xmTrTdEOdFx6SWuzw1ttb/OAZbKnUoC8CYFncqIAcB4HlV2yf3Ef+gGkjmLl6O3z30LL556pHI2Xa0ndiB+Kviun4lbiWpxdn3xHfKvakt6jACb8NapOWiiBuyMIrbJq1IFsZepjWqrVPzWJwZpDfDW5NwY1bVsTbvF8Zi8VkTBLmTkb2thXdIxea11W6AZNJVToxjiHNIj7Mr65abjHvlKrZk3WsS9aiu57ZX+xANQqI0LKLnzgi5qHlW+1RWuuFh0F6QtLi29rCkeBlIpOzzMIwaZYQB4DgggQ/mZkD9MrIdy6TiEAhFSpFXIb1Mcg4achksuv2n+NF5p+CR19/BV+/8D0LGcN2Dz+KUn9yGfaZvgzk3fhcXnng4bO6DeiXtVTGvyYLlqwEAW49sNc7FCJukeQhqiIsQFeIYm6d4IRL7V8dQLv638+Ph8BBb9yyNKzuc4+1V7Zg2bVrN4w+1bHGDA5lMBt2mgSpl/vz5GDFixAbtc1B5QtN33hUr2ruw55QJ4GEgrGNC0IwKplTW4LXMOHgBixZYrtpjMtE60/N0ehexHWm5hUCphErFhw0GaomqZxalOOMju+GuF17HknWd0cKoFp8aWiaXLqNBg+VgZQDEs0GPo5849oYI0W47ZU3y6H3iGElw1/+bVrbxfkVHNzjnOHGvHePbmVYiMxYq83tAKA2BL/6GIeBVImKZ8qAoMDBdpTI2q14iZlmJXsq6M1zeJjiJsdRwFScLdMTCCSwCwpgFS0XtcANsYi56OUawULrmg2rlIQEG+m/i+yqgNkM3yoJTcW5qiS5cBkhX7cOI4ZugopuLGL9L1jHXoK3LvfKYQmF6NTQDXd0TafObtPzTRN2zbhZM1vZmtivKt8rzYm5WjMnkzhCZymjbGN7ciEtPOgzfP/sk3PrUy5jwuf/BV25/AF845Qjc9a0vYOSI4aKOPaGiQloYgnhl4V2Q5/zu8pUAgMmj2vofc1KUQmWJvHuXB/CIDfCI8Z1qSddY81bZzVjtNGOH3kURUY5zfY/OX7lus1rWWwQ4/vjj8e1vfxu+L5RXQgiWLFmCK6+8EqeccsoG7XNQYD116lQAQBD4WqsjsjnDRL8dDWEZc3MTRIK/44D7fiwXmjMGOBlhbXgemFcBK5UQdnej4gVwuVGPOAxx4aF7YXhjAYf/8A94aO676KvEyyOmSRqpY6MBfCPd7IMGbLUgpbmhBwLiJrhSIjgCZn6uCdT19pf2nfFZJRBWV6nsRftVoq2iMHYenMt4nALoMIwAW1ndQSAsbq8iXip+bNSMNsFQWHTyFQQgfkWTrogvmMD6OL4HlA03KZCIWbPE51JZqJTFb5QiIZncajuTiKVJSInrTjgH8aOWl7queJrbUyoqZhlUcBYDXa7ISDSRAmZaqDFw5VFM28ygMAFbA36c/GUqDJwYjTjk2GnggYbxOVHnGSMEAnFFRw+OxMGaR/dn7L6ybfByCXBcUK8Ep2Ol6DZm26IxCrXBnKyo4kYpuMqG0J4GOVfZPC44+Sg88IMv4VOH7YuH/981+M6l54JIsis4l6Q9yV+Q945SQBasWIvhjfkotbRmKE0qP1VZIpGS5fIAPrXTgbqWS1xKr5XFvMJW2L73PeRkxTcuAQJhCBaGm9+y3sIGx09/+lP09vZi5MiRKJVKOPDAAzFlyhQ0Njbie9/73gbtc8B51gAwY8YMFDIulixdDuy6TcxNhTDAjqVleLGwDeblxmGGt0oUPQkCfXMRSoFKGcR1wXp7wRkDK1fAKh4qyMMphOCVis4dHt3SiIeuOR9H/8/NOOnndyDvOvj6iQfh0qP2i8gtRp5hUvoDydjDMVSirP8Bbctii2lNqQfYtaoYqUXCD4zPSH0ANvdVJ62MEIqQMfzonsex++QJ2HbciChPmcpYqWUDlXKkGBhKg6oXX3XujAMIjXEYKSumOK6MxdJqD4cmIsr9K6tcuUJ1OlOYGINxvhpAGXTzCO3WpuJz0zWpLFdVOEWJrh9upC3Vsx6VO1y5npXbPBmiMOK7HFE+dZTaldivAte0fHDOxVyqebEgGn2YP1fubGJY3ZYdjS1kcc+AWdwkxf2rG6TU0zsJiYckAK34k9Y2oTgp8AXA3Dzs3vUIs7ZQamwXaB0OrFoWKS/qvCgFc3MA5zhgz11wwB47gTtZ4fr3PdkPXM6NZUf3jy4cE+KtRUux7ejh0Xkqkd4XsS4lTzyxNsj3Dg/hk9r3hV7jzPudcZRtBy83bYutyqsx0uuKmiTRaKzrimV0FEvvixt8Y/fxYZbm5mY8/PDD+O9//4s5c+agt7cXu+22Gw477LAN3uegwHr69OmwLYr5y1ZHH8pKWYRS2H4Zu/UuxIuNU7CABZjsrRGtMB0bNJcHK/XJCjy2vgEJJeBhCN9yYAcRKUTJ2JYGPPq18/CT+59GZ18ZV9/1MDqKJVx74kGxIgZp7eL6k0FtnwbCyi06kJ/XUSqGVFhigYxZiv0cfwBWuwLbb//1Yby8YBke+vbForiNmTttqzx6CyQEOI3GwHmUE9rvOM31Sy2UYQjAiwpiANFCKg5g7EdawIa3RgOUWoyVS5IzgMg5oDzaN1WueFatHCSBlwWipHgYxiqf6TFaEWsanMsSnYbbEhIYtWJgnv8A7h1tTcfvgRhQm5wCdU6cQSlGIuacif9Wuq5FaeEgcikbDHEkFV/DAyLes3gsXwmloo4sAFWvQZUET83XVxwIaiFsahMdsyp9gFcGKXaBEgIv3wrqVASjXcaqQVWRHHkuYQBu2WCypzXxPRCVmRIbnyLnRUAPzvDqgiU4eNqkfi9JzfXFUPZsFiIgspd24vvYumGsPz6x8HLTthjudWLr3uWA48TvTTlP81e1Y/ywJjQ0NPQ71i0ydHLbbbfh1FNPxcyZMzFz5kz9ued5uPPOO3HmmWcOep+DQo9p06ahp1zB/OWrhbUQBlFMVN4oWe5jt56FWJIdgaVum+hZrSzrrOq8JcA9Kq1HEFAbduAJtxWP3NaEUgxvyOMHpx2J6889Ad8/9Qj8+F/P4If3Py1/a7h3jQXDtObNV1IGBaCb0x0+UEm6zWsRWcyyov2RxxLvzVj2uu4ifvHvZ/Cjex/Htz91LGbusK1ml6PQAOQKmswD1wVcV+S7qrQ+00VrMsaVmEDOWTwma47PZNb6FUlU80QqoFcWn6sCGyZgKKVCx2glaCWBQZPVDPe7LvpiMsqF5U5UbFPGCs0cY9WdS8VtY12qJGFLg7Q51v5EgSFLXDsgdr21ta/2n5xzA8TNHtSaUGYw31VhGp3jrL5X/AKd183SU9pMQpupqCjGvpl6JvkrQGRV6+thWZJglgV3XK3MsWwBhDOErmiewH0ZQiFU/+WWhTBbEK5yGAqJ4huY9wcLo/tPAmBvTw/mr1iLnSaOiV8PY07jBDMj1JEgJYIxOFIBClQNdiNkVwXUVDSIebV1O+TDMqb1LJa17BOFo+T2b69ch+m7V/dY2JQiVaKNem3cSvv+yznnnIOurq6qz3t6enDOOeds0D4HZVlPnDgRNqVYs75bEMUCX4CrZYHAlmxNjoawD7v2LMDLTVOQ4T5GE+HaJhD1wnmlrG8mzjhoNouA2nAgHlqeZrHKm/cLx34EpSDEd/7+KEY1N+CcA3arOd5NbsluwP6rLOyBusL7k/6s4jSA7m8btV/DPX7Qtb/BgtXtOPvQffDFU44QGj0Qz3lX5TLNdBziRCDLQlEyUlta8vxtJ3JV13Chqrac2kWqCl4o13TgizF7XuSSB+LWsdpGDDxSLvT+6xB7TIUtds6G0lgjDKILhfBEMcWBrkympQqkurVjlqwCuiRAJAFdnYsti5mEIWjgi+thPosy/sudDGilJNzlRt582rHVcaqIfUoJoxbAKhLs0yeCqDizcklboqOYYj0zOwOesWFzkS1gWw4YtcUxMxlJFiNAJgvW0CIK0fgV0Q0sCGLXVwO1nhcVkojS4l5/dzE459h163E1LtQAFXPpqbFkKMMnNhyuDJjEmqArlAGvN08GAccOXQtky1djbsWE6Tl+e8VaTN9+n/7HMoSyxQ0OcM5Ty9cuW7ZsgyvJDQqsKaXYevQIvL1sFbrKZTSqsaiYpJsB98SD18JK2KG4GK8XJgHeSowKusDLoiIZNywZms2IntaWDSv0QVxXECSM2I88uPjcsnDVCQdjdVcRl/3x3xjV1IBjdtkuNs66Luc6xI1BizG2+ACMfQ9BkZUByUAssbo/rzNnRkz7iuMPwuduvBt51xZxvSBIEIMMi7eKuSzjvZo0FMq0msTxlLvZMtL7TGuMs8hNrY5nWr9qO+U2BSJ2sP7fsJQ5AUCED9JyAB5GgKLGkz5p0f9hQjkxtiFc4rHxAPOUTQFEljKlVfFo3eoyDOKNT+p4SuIAmvQeMIBYcaUjDEHDIrjjgiuqgJGapdz23LYjC9z0NKj3poR+NJ+amKbGIDwRqJTj3hKpxOq0K84l0dCwgsMQNCyBOy5IuQha6QO3LDjrV8EbNkZ2EqMijct2wN2sqNbmeyJrwIfmE0ReADlO36su0BKK+/3ltxfBsSxMH2ek4JhKCIxzSxOlACnvBAALDMyyIPqgGNa0sc8QBHMLE1GmLnZvnwfLJCcklQw5nrdXrcPJp2y+ePX/ddl1111BJCfj0EMPhW3wP8IwxKJFi3DUUUdt0L4HBdYAsNO+H8Hbf/0rnpu3CEdsv41Y5J3EyiNvrpGVTuxMl+C13AT4IBiHKBmcyMo/PBBsYWY5cIOysNSN2KCOKxs3IgHHT886DivWd+Ozt96HudMuQYO7marzDIZAVmsXG2tdJ7ffCKA2LYB+x8U4zjpgN6ztKeI7f30YXznpUIwaOTyWs60XOLNOeCjJSdoKjvYHCxH4cgbAJIEZi3dSNKtaEodMS5xQI13H2Jebie9PH0/+1nwalMVvAnxSEUkqfpwBfgiiFANqAm28JSVJWuVmTFwVP1GLNWQscwDekNQWlMoNzA1FRv8gEeM39kuY3D+1wS0bnFAwNxs1IVHsb6MlZuy8zH2mXUNdRjaMFIbYvDBxHZW3hVIgkwXcjGD6V0pAGIA1tICuXwPe1IqgYZg4LHXA8k2g3Z2CUJbJARKoaV+3EYM2FA7fE9fZaDSjlUPjGj/5xgLsNXk8nOT9rCfBJGrWeTaVokIIKGeiCUkiJVCBbsAJ5jRsjRAUu7fPg8NDnRZbRTJVNdHZ5i+IAuD/dD9r1W3r1VdfxZFHHhnjCriui0mTJm1w6tagwXrGjBnIOjaeW7oOR+44BQAihq8ki+n4EqUY7nVhNx7ilfwkeHlg6/Ka6IG0bZHe5dgILRs2Ezcokbmh4DxGHCNuVC3Idhz87NyTsMPnf4DfPPIivnLMzNg4azK9h8KiTkqS2DEAqctET3NTJr9LeT9YElvSVVf126RCIN+fd8ie+P7fH8FtT87Glz9+ZLRNIHOhLStqthCGsdQbYjs6JAIL4n5hVFi6vi9elm2UxSSRhaFEpaYAwoOuq1XJ41hUEqA44FXAfQ/EcYFsXgCD7qDFon2oHsIsETGrdb8QErll1XErZaO6VlLhjPgdIDxeQCUMI8VCxXRV20rjWsTSnww3YVXudT3lTV3jWiCixqyAi1Iwywa3HZFnTUV3K/hlXQAldvw0S95k4Ku5U98FQbySHRDdL6G8Xxz53JvWbrEbKDSBuxlR2Y5x8ExekMasDOxytyhoUmgEl0oa8ctGjF8Csi9DEplslKJlei2YcV9wjiAM8eTcd/D5o/arnrt6SryMd5tNN8w5szhDSO24l0ruzyMWXmmcDJsz7NY1HxY3MiYY14ZPrCQzgL4gxJL2rs3KBAf+b7vBVbetSZMm4dRTT42VGk2TO+64A8cffzwKhUK/+x50sHTGjBlozGXw3Bvv6JxE5lV0bh9xHESkHfHQtYZ92KPnXSzJjMD83FhBQKh4YCVR6o9QCkYtWBYRD6cSBT4mEUUvABwThrfg/MP3xS/+8xzWFxPt5aRsElLXYAA/zR1cc9tErC/tfY3vBnuese0N5mnqfjRAyOtZyOGg7SfjgZfmpgOD52lrqaoyWuCLalR+IBZI9ZmqYKYASeVYV6J+6bFubmpbM284Oc9hKDq7NTQBjc3GwhsimRakLS1AWOoKRAFDCbDFy3bk92ZanDF2k5ykXNeKTGYWaTE+I6aLV0qMjCUt2KqynonfVMW19c5I9AIQK+yi/jeJaKZblYk65NSvwKr0gVT6jCYrcv5VMRt1X5o5yspqVdevUjGIftF14+p+kaRJolj+bibKMPBkrns2D1X1jGULQEMTQjcHTizQsCJ+19st6odTGzSQ+fblPgmcQfz6BX50bdUcaI5FNL+z3l6M7lIFh2yf0hpTzaW6H+oxwRmLvSzOEMaqt4lrUSY2XmqeihzzsGvvQliSN6AVawXakmsgrpeY0/mrO9CSz2LUqFHp49hEsiXPGjjrrLP6BWoAuPDCC7F69ep+twM2AKynTZuG3rKHWW8vhG+7sUWNe1HBB7F3qq3jJnjYo+cdrHZbMK9pazBpQRNZjYyBwFLXR2mXhpZZ1cRdLlBfPukQeCHDdY+8ONhT2TAxLb00IO4vVaOW1LOGBuHmHkhueRpQp45PLljJojIsCDHr3aXYZ+qk+Pi0R0CSwGrkFBPlpqYWSL4g2OIJJS02vxWZUkNJlUtSj12BlmVHC5hipCtrl7F4gRWzpGnSmrZt3cITdiLEogp4mOk8ZnqYriUtx6UstiRrO8mUTlQy04dToC0ZzSQIjFrh1fuJ/cYMJWjLPgHcynJVMX7LFjFz2wazXXEsv6yvhyg840XXSc2hUp5MxUu9NwvgqOvmVeLhEgBVGQ0sFNs5rsg0aG4FSn1RgRvOwDJ5sFyDqB8feqC+aODCWkeKsIBvVMbjPCrCEyOShfFjms+2oYg9NucttOSz2G3rsenPTNILlPzaAHNFyAXnwg2eAKgeuJjVPBUtQRE79iyKCupQRc41njck1khCMH9VO6bttEsq0WmLfDCE17lXkjJosN5uu+1Q9n2UvQBvrpHUdJUmZbi/xQckso4BNFCOPXveQa+dw+wRO+jWmjyUDQGMBZNYdpX2qIBdV+jhDKObCjhxz+3xyJsL+x/85rppNxSw60kdwE7rb5uMRadazVXuU66Vq9TfcC7T9QhKno+Rrc3ic9PKTLrWVatCxxXKmUqPUdW7NIHIAHwVDzZZ2uo4anvtRiYGk9uKx+9sO4r9hQkLlBABwjRxDK0oSrCOuURZHPz0mJKpZcqyZtX3AmNRf24DbKuaeuh9GWCu0qIA3QCH+F68LKnpejaVnuR+TQVEkbtUtS/lCg9D0VnMq4hYr1+WzVSU1WkqOzAIYIblqKrHcWbEqA1libOo7rfJBpefg9DIVe64oiBLm+yWJQvNUL8SuybUr4AEAYKGVoSFlmgO1H2grokag1nZzrS2U+TROW/jwOlbw04LN5mfDUBpVn95INL3OCKOxUqrCbOat8PYcjum9y6OKRNV4aqkISO3fWvZqvelzGhaL6ANeW2RuAwarLPZLCaNGQ0AeHV+HCC5sThxP9D5kOaCnyMMe/UtQmPQh+dbpqMj0xTFqBkDcWwjticWZ2Iu0oAkXnD9gH9kxjaYvWgFfvPorNoD31igTsv31SeecmcN0C29sW76er+v7dbm1a64mjsxrAvDktpmdBveW90eLcSmS1WJZmaTyMWoLFaV9sMZdJENQG7jiJQw9b8JptSwalU6j+OKnuiOI0FMumCVJRLr7sUjJUABPZFscDVmNSfqe+3SliDle3EXr7nox6yxFOXInHtVHlUeM1afW9U+T1rcmvAkwVVZ26YLNA2k5Vi44xquXnVNjRczrqVXNs411JZsTW+MeU+Z3g41LjM8UJG96hMrMw+D6J5V/AfXBWTcXOWzw3HF3EjCGPHLEWizEF7TSISWakVKovQtRUZU+/e8yEXPEp6yxHOxeE0Hnp+/GEcnsk9qCpVrlpxPE6CTQsDFVAB4OzsGbxUmYMfuhZhcWhmNow6CJa1sUIp3VnVs9ng1gC1u8E0kgwZrAJix6+4Y2dyAl99ZLMDVduKLAyGC9KDcYIjfoBQcM0rLMaV3GV5t2Rbv5UYhBAGVIKytI+Xu4SyyytT+wgAqBeisj+yGE/fcHn96dk7VWOMVleI3e5pFusGS5hYfwP42Jhd8g8abJP0oSbrG1auGgjJl1DC8+PYihEQCn+PqGDQcR6TLmFYqJREIu66IQ8rqd3pRUy8VM1VgqSxgILKuKZGAbpLRIlIXKBWg3VeMYqSA2KeqP64twgQzm3OgXIoWcSXatW2AoXanGy5ns7CHOiYRbuUqb4F5TZCIUyOFPGaKm43/PubyNpRL9b3txOukq/PVyrBtAHXFsH4l8GqL2Ax3KCUnEb8PjTkxrOjYaSuLGpCWdHRNtKJJaDzbQI45bGqL3Pry3gizBdhF4e0LbRecUFh+GWGhCUHjsPjY1MtX8fMgUlaScynH9+fHXkDetXHSHjOqr4W5zpjv0yTFfKQAfEIxu2lbdDiN2LvzLYzwu8U019kXkd4Ckjw+IXhrSwOP/1WyYWA9YwZaCzk88/rb0cKp90hji7yKy8TjKcJ1ON7rwB49C7AkOwIlmgEjBJwzcD8QLm/5IJtNKIibqSLCEEJw+E7b4vVlq1GsJB7sFDEtzo1t8lHTclUyQHfYYI63WbqKAelALUHo9H13xiuLluMbf7g7ciWHYQSsnEuLyPguDMXCWyqBF3vE+0xGgHw2JwBfAW4shsjii6zJljcrWykLX3VMAiR5ygCtpFWlwSKM70fFUYMgDlDmX7WtIj0BVaSpmKtdsqk5IaIJRyLOnCbJWuPxPF7jtxpQEzFvVXhExWqTHgAVJjBZ4mbb0Zjr31CETIVObc9Y5Gng5n6YBqeYu5tF1yKWnmleJ1+SDPt6RczWKyPMNYh5dFywTA7cyYA7WU3e41KJ4dRCkGsCc7LC6jbd9QDgeUJh0O1Zpds+CdQAGAj++PiLOGWvHdCQjcqxDkjMFMKkSOMkIBQL82ORCT3s1fk2ckFEmDXrUqRJ0qUOABXPx4I1He8LWG9pkblpZIPAev/990d3qYI3FyxGR1cPVJ1g/WIq3kSgisqnpglZFppZCfsU3wUnBPPd0VhvCQo750wvuLrcpQJvw62k9rv9+NHgHHhnVXvdsdcDubpWboplbu6zLngmrdZBjGlIpZZVPVghBMftNg0f23sH3PbELMyaMw+spzvO4JbAzEsl8J5uCVoEPPB19gAvlQDOwTvXi98oYFcucAVOqpVmlVuZRR26ZJ90ANF+lNVodsEyLeHQ+K1qpMANsFPWVrlkgFfC2gxDQazURVmCaBxmIZZQtFlUDT1EWVIZE1fnKscXS+uql3+fHJMpZn6zCjWkXktaHeIx79H+eBba5S2vjQpBGPnTiuWtgFq3XjUIjEnFgFhW1POeEnEPBT54vgHcEmlkYb5JFDqxbN3XnNsZQYozQgeWVxIEuaSiI0sfA4iun1K0EmStp+e+i/fWdODT++9Sfz5ic1s9p8lnnYFgQWEcuu0C2rwu7NC9ENTIW49tT0lUn8L8nPHYe2JZeP6dxWgbMRKTJ9dgrW9CMfW4jXn9X5CJEyfCcZz+N8QGgvVBBx2Etd29AIDn1gtLllh2zB2jusRE9b+NOLQBxMSykaFAgVUwnPXi5cwEvJ0ZpWv7A4hrlYrtSqNa3zwMMHWsqCb09qr2GOgOFAgH3LkrcSfVrDu+gXdbfzHo2l8O4m6vWalsgCAu9/+9TxwBx7JwwDd+jRO+fwOKnh+30ggByeVAHFu4q3MFkIYmUDcjWqh6FfD17aLqnTkGFQqplIULuz+mvMk0DmU8VMVzFaADUdtN9TsTZHRZSWpY8FEYRyshlTJQKgn3urSoiWNXjwmoBlBAphAZ/brNUJFlRR2vzFrual7Ub5QCosDAtAR1rFgpDvJ/nVue4oZPK7CTZvEnU9mUpa5j9kE0DkADsy6MY+5TtUxNgj0QhT8YF610y2UB2NkceCava5OrvG8SiraoVOZ9c2rBCiqwggrsUjdouQiiFK7AF54co8GHyv2PzbPiLEi5/l9PYrvRbdh3263iys1geB8J6bVzeLFtBta6LWjye9FW6RKNYBIxbj0tKZ/zIIwIuAZv5PE3FuKwww7bwgT/AEhvby+6u7tjLyVz587FhAkTBrSfDQLrpqYm7L3Pvmgp5PDM3HfiuX6yJKhOJ3DiTdUBebNRErW8syxQACPCIvYtv4dOK4/n8pPRRWWvWBXbNH8P40HnHM05F2Nbm/DWynV1xz6YZh5D5SoHkB4TThyrHgGlptJQC5jrPaSDBOWqxVT+P35YE976f1/GXy49Dc/NX4wTvncD1qzvirbLZGWcOhPPY5b8A+KKUrMmCQeURq0MdSWyBMFQvSe0moSmrEjFUDfd6YQKq53QKMau3iugqYg0H268dIxbuXCTDHUFSsm0MnV/Si8SV2xm2xGgbDLZWcQSB6C7QOkYs7bo5T2i6mOngUbypefViRjuSSsTiOYtdg8YIQggGodXie8/pdtbVY69GdOnKceS4ySGpcH6BMgS2wFpXyOujeWAyg591IuKs9BitzYECDjsSm9EjNNNRmRowxfXVacM6qpzNH4ehGDhijW494U5uPTIfSPwM5+JtGck8bl2ZTMODuC9whi82DYDwyud2Kv9DVicA7zGWmQaK8pbieptzWpmj725CIcffnj1vjaDMJAheX2YZdGiRTj22GNRKBTQ3NyM1tZWtLa2oqWlBa2trRu0z0FXMFNy2GGHYenbb+DZ194GOWGmaM5hR9Y1V9qpquurXEyWBd0Cz2yZx8VNnGdl7FVZgkV2K2blJ2GS145tKqtBVVUqKdzzokUd4kadOnY43pZgnaqdpuUj1pFUTZYNYavLJMjWANhBKwm1XJobqmykxPDUZzYFjtttGu7/0qfx8V/9Bfte+XPM/ukVaGlqjMZi22Jx1ySYaCEnrkjpgrloqmNRBl3HW3ljbCMVS11/BXzwxL2l4tRBmhITd28CFDBaeIpCLgqYpPVn9NhW6YMmq5ib1qIFDeBggWBUS2uWUAvcEqQxbvwf5e0LYIwBAhJzL5UWzf4mFPqB0i7clPK/jEVdpvT8quMYc0N5otEJ5Dkl7k2jFGZ/cXdT9PPDZBqgrE6oQh5EKXXye84ZUPFE0w3XBfXKeqwWC0WVMgDcyYB0d4A1tYGDgHCjYAwhkaelIq30UFZaVGEAR3ILlKcgCPT99ct7HkVbQwGn77dz/Fqk/a/ORf3Vn4vt+qwM3mieDJ9a2L3jLTT7RbEJAYhFdGE1LSmx6qo1SFYx40EIYlvo6O3DK4tX4tBDDx3QNRlq+b9cwUzJGWecAc45br75ZowaNWpIPBwbDNaHH344/t+PfogVc99EiVjIqoUtDGOacbTIGLE76TI3rSUilkTxP2fYxm/HCL8Hc7PjsNpuxDRvNdpQBBgVGK9imYZ1Mm3MCDw2991o8YPpfq8/WbXKf9azclNBuz+LdpDlSNO/HKKAjgIKU2qNMXlM9Vs5zr0mj8czXz8fO1/za/zxiVm49PhDxMJngmOpT7txCeHg3AexZCpR4EflOrM56Ya0ImDWblxjf+VSdA9ZlrCUFdCYll4YxEmQaedk1bkuCqjVuajzUlacJrMZxEc1l0wqEgpbk+cAiJQkFoptJPlMVwZLbk9IrI1l3Jo1PlNjUoCUtBhVvW0zLxoS3FgY3w+X18KyBANdAaYSM+5riC5DjDSFFzqerQiIupxwGApOgwTUyL1rAaGs/haUxXVVBVwcF2hoEvFrLivChaHICwfEfaUUfC4VKaXTUBlW0CS76N5Z19WD2x5/EV86ZiZyZv8BkxBnimlhG9uElOK9/Bgszo/GuPJaTOleCsuoK8EJjbk5tRKj3tuGEmvMY5UQgqfeXIipY4Zj7Nix1d9vkc0ic+bMwezZszF16tQh2+cGm4h77bUXGIAgZJj91kIAMn5rWdWAjejm44pBKxcBQii458ECB5OBarX4NbIK9i6+i3FeO+Zkx2NOZjz6mFEUBdBWO6EUM6dOxNur2kWv62SVpthg4p9VuegHKBvkGq8X4xoIsyJp3fYXLzO3TcoQx7MmtDVjl61G49+z5iL0vYglrXKClSu2oQnIy1q4MjWHK1JaGIjt3Ew8F9rMjVZjT+YcMxb/TJK59JyZgJ0EJKNqHiGyup7ripfRj1uLVgSk1W0CtRmT9r3I+pSf6V7XhFa302Qi91rHnvV5GdY2tQVL2itHLHSdry7HpcID0qrnhERudjU+M7Ztno85L+oaUSrCGZwboQ2jmE3y/kowvpO8DmVNcwPg1dpgpnQpIqoOeQWycluPCLewTB7cEsoe6esFOI/KooZ+dA9kclG6nzw/7hvnnWhioub6hgeeBsBxwSF7xp+3Gs9psukQB7DGbcZzbTui3W3G7uvfwtTeOFCDEjBCQRNEQBUm5DwlRBbLEiCaGwRK8dibC3HExz+ZOr7NIVsIZsCee+6JpUuXDuk+NxisHcfBgXvvgYxj46mVRXFjqVfSbcpY7KEEoIsfKM2bci5YnEY8kIcBKICJ5bXYr2seLB7iuaapWJgfgyA0bmwJmiftMQOXHbUfvnPPE+jzDX9SPcA2YkBDIoO50+qBdq19m6LIXAnLa6MlJT5dtyiMIZcdsQ+emrcIR37jOqzt6paWupGHrUAtkwVpbAI4E+xwzwPzKmIxVa7QIIji0oBBsJKucFVKVFvSXBfiibHKVS3v1HPlIo3MMxRAyxJgpFLPTDEBLOmiNNnbMevasJAtS4Ct3D5WzEQBul8RLzOGanioSKUviqEr4pYj62cXGoX1a8bDAZDebsTKoAIRUKv/de10Hp2H2d9bjatSjgqm6DkznHTKmlZsbyMHO/asacWAC6XIqIQY84gxBprLQ6ehqUItgS9LoVZAe9YD1IJd7ITd0yFIZaWiBnihBCrlTa1PLLqGZv8B+f+a9V247p+P49P774rhhZxxfgN7vovUxStNU/Bmw0RsXVyBPTvnoTnsi44plTxiWQhBYSF+nWNph4boNTJ5/8ltH38f49UAthRFAXDjjTfihz/8IW699VbMnj0br732Wuy1IbLBbnAAOOKkj+OlV+fgydmv4av7TRFWMoBYH2q1eCLFbawIaQAomIjOyRgckUUaeKUM4rrIsBA7lFdgHF+Lt/LjsWJYK6YWl2JE0KP3BQB7bDMOnHMESXdukuCVAB+iYuv6AzKgh7Im0Nfa10DBNOmiTos996dkbIx6WstarzUv8rMTd5+Of1/xaZz5u7/j4z/6Ax649rPIuRmxMJZLcYstDIFcATSbjyxUBczKmlSWo+0ACCOL2jYWXlUuEjAIaUoZ4/ExqwXaKLxDHLd6LmXtcgBRvFMtoF6o49w8DGUHsQSoMw7t+7aCSJFQ6VqA6A/tZCLXc8IC1zF5zkXMn3Oh9PjVtQS4aj7Co3gmJyRq/VguAcVeQJXqTJTorDr3JIhp126Y+Jtwx5tAbVjVWggFeKiVCSL3rT0MxrNJHEcfl1fKIM2SmFPs0coKCXygVNTXjwS+CCOUS3JOJR+iVIw/TyZoKzGLxQD4yk13gxDgqyccZEx0/zFknwPv5cdiSW4kxpXXYYeuBXCMlEBiR1UdFfAyQkCTQJ0wcGqKMc/vrW7Hko4uHHDAAQP77SaQoSgX+mEvN7p27VosWLAA55xzjv6MEAIuOSnhQK+tIRtlUh5++OFY39uH52bNRtHNgquFwrSATFA0i5uo7eS2FgsRIvEAydKS3BOuRO5V0OL3Yu/OeZhYXIm5jVtjdtMUdNp5AIAfhLjzv3OQdx24iuSRJmYhCMU+rhF/7s/qHpArPElCSVrftX5vWkBqu4ECtSkbw2JPi1XX+k7KR6ZOxN8uPQ1zFq/E1277p+EWji/o2jWurEDFyFUxUWUhKwA3Gd8msCmWdrkPuvJZEAiAMsbJe3uBShm8ryj+17wJOz5HyoIz0w2VKMatjqGTaqBWNcrVSzfyCIFyn2B5axe3bIoR+AKQgyACQl1Epi9qZmK67w0hvhfVBpe546RUFP/bjvBqqApzsUYjxhyqOVYsfD3f8n4Ngmgl9n1ZVCZR+QuIcwYUIU4x0XmiRaTKBFDKjBoPpbHnlDMmzqXYo4uZxLwEjqsVHsJ5dN8Q4/5SLHZAZKmYXhLV6EM+Y/+Z/Qb+8szL+MGpR2JEQy52HylJZnCEjGNJbiSeHbYjOu0C9up8C9OKS0XvaZXiaWTAECMLIpSEOX3OBi9GhQX7K44CAI+/uRB7bzMejY2NdbfbIptWzj33XOy666547rnnsHDhQixatCj2d0NkoyzradOmoa2pASs7uvDoihI+2oa4Jm4At4hlB3HwU/WhCYHNQ/hcaPQxrdyywCqeYNNZFlipBEIoJpD1GL2+C4vzo/Fy07Zo9Xtw5+234+G57+Ivl5yKrMp9NcEt6d5VCwIQVyqSIDkASa33O1hArUfsGizgmmOvp7j099u09wP4bvetx+Lakw7GV//6MD62/67YV3XoogbgZqVrUwGQ5USLdjYH+GH0vcosUKASBOK9iourSlRhCKJAiRDZElG4xElOLrp+ECMzifilD7iQ1qx0CftetOibbm1JVuKBH7eQjHK40fQIXoaOp7MAsEPAdsByjaAVo4OU+dugrMcNKxP3SKiMCsWIV65eIAInXXpVeihykiOQ7JBlMtl1nF+y5PVJsDhhz7zuJqGKEOhQLCUAizwoXOGzVnyi3+jsEZNFrT43yZy6RCoBAulR6WwX4QqttIWR4sdkSEHVBQ/DmLueWNLDYqbZEYL1vX249Ia/45AZ2+D0fXeM3eNpzzkDsDI7HIsKY2HxENO638OISicIFcBbRXJVgCz/55QiIBZsGPeYns/IajZTs7jyRBkudc4YHntzIY789PlVY9ysMhQVyD7kbPDFixfjn//8J6ZMmTJk+9woy5oQgiM+eiKa8lk8/PzLEQlH1UBm8ZuPqDKQZnxIksMcMASWA1YpSyZoEC2iSsIQ1HFAMsJt6fAQU8qrMHP9G8iHFRz0qQtwzVVXYbfp21Vbr/1J2rbKHZdW9GQgu+zP6k4eM23bgRLIau1zsDKEzI6LD9sL248biV/96+n4/k3Ly4xLq9g2IcKSNDII9HbUACwiLVdXxMO5ssoUsFu2iOU6Ucyby9SdWNepNEa3srrNBiNJlzChRhqSBH2ZnshVLF7m84p9BpElGoYgQSWyumVFN14qgVfKkiVtx8YIQGzbVwTv7jQKexjuegBVqVteWYCWsiyV9yHpxQLSiVbJeH+ywEnCW5TMr9aVwtJcfwaZLGYpq/mV3feI4ibogjAUrNQnFDTGgd5u6YkwCuyo+TBDCEmhVuz5YmGIC667Az19ZVx31nGxyGlVLwEAq9xWPD9sR7yXH4MpPcuwz7q5GFnpjBU3EedCqpVxCcaMcXBCYfMwvm4ppUUaHmnrkDnXjHE8Me89HHbYYdXnuRllC8EMOOSQQzBnzpwh3edGWdaAcIU/dN89ePy/zwMn7wuiGjMA0L06lVWhNEHTSpFuIYuFCCzJJvf9iE3OuS6swhRw+z6oYRllCMPU4jL0LH8d7V0cs3Y5EGTNUhyU60OOx9v+aUl7cGpZoEZ+dhX4mmSRGjKo3GxlWSSPk4xh15OBKAG1tkW69QCkewpqVVkCAItS7D15PGYtWoGqYiJi4+j/SllYf5wLJrhXEd97ZeFyBeS8GAt+GEYLcEUs0tzzBJtaKY6xfGGREpUkOwIQMXC1T0hgsWB4PBJjl/FWZUHoznAIq0GJJjgLsgALKfcBpaJgJYvJ1Gx0/Ts1jjAE7yuC5AtgvT1iO2X1l0txV686jmUBFUPZDYzjqGlR8XuTGMdCqcwYQEaJsOYNRSUG2FqR4Tplizh2bK6J7cTn3nzmUu4t7S63M1HYQ6WRUSK4A5YtQhvKva5K0/qeAGKzhzUzPBAGuU2fN4Cf3vs4/vXyPPz9stMwsa1ZfpUAacaxNtOChQ3j4VML2/SuwJjSOtAEwzs1LRKIe/QYQ0DEMmzLWH6UA06iOhXmvHEO4jhg5TLMvgmvLV+DgDHsueeeVXO5RTavfPSjH8Xll1+O119/HTvuuGNVSdHjjz9+0PvcaLA+9NBDsXp9N1hHF94rMUxyRPk+rt1yEZFHi+nOkw+LzUP40tAn2ax44ANfp84wrwKUy1pLZ+WK6Pil4l0A9hg/DCPyXfjmb36GsTvvA7L//mjtW4cZYQcaw1LMrVS1QCTdeUp07mXkjkvW69WWYj+AnRRz7LHjJslwyf/NFB0T2JOEulrKRw21tb/Y+0DS1JLbTBzegr+8MBeVMEQmVmWMRqQyNV7OANAofaunUzR1cd3IVZkkuClrjDPQbFbW6TY7QDHAZ0IBIFyw0JNFPFTcWonnaZc7K/UBAGhjc/xEVfyViIeQBz4IF8xe7nmRgpZUUAChmJRT5jIt9m07unwqyebE+LNZsZiX+kQMl9CIGR9jd7PE/cOq71Mz5cz0einru5akFUHhkZuWUBFDJkpJJ1wDPpFzp+8VXZmOaKWUqH7iRoU3jYVcKQRin6oZBynIOG2pGJ2n8jKoawpE1jglIDL0BkrwxGvz8c2//AdfPmYmjtpp26rTYwxYlWvD4vxo+NTGpOJKjC2ugp0yT3WV81gaHkUAC5QzUHNOzIIq8jdcFpyKPf+AnvNH5y3CwUccBdve6GV9o2QoKpB92CuYXXTRRQCAb3/721XfvS8EMwAYPXo0pk+eBEoJHpjzTmRBi1GJv1Iz1EQJVaRCuc3CEC4P4BNLux65ZuBGhRWi0oBR3IarBVzKxOGtuPnMo7BXsBLXXv0VPPH6fLzYMg2zm7ZFu9MY6b5JwKq1MJluaMPCjomZZxv7LR84rTHt+LV8QbXIaUmXeZp1XoMkk2wMoP9uZDf4Y3baFr1lDzc//JxRslKCZSjLPlbK0ASmwBd/PQ9wMgKoCTEYvTR9rqSVSbI56JQXZTHqohrG7xR5y/OEi1ixmEvlyLUOEboRRXyCaiBU8V1CBHj4gc4R5uVKNKeyxjVX5wZE2/niWVCEI0IoWF9RKKecC0AGRHw/kwWoJVjRrSOA5mFASxtQaBDnWewRjG8FtKYFp8C1jkIJzmRaltGQxfeiEASQsAqTz1DkotbvbdV3XBKrXFdfFxIbH9fXUVcxy2RFKlquIFuqyn3LWg7M9+XcViIXuCIZ6loOhkWuPjfub2Xpr1i3Hmdedyc+MnUivn7iQbHTCoiF9/Kj8d8RO+O9whhs1bca+615BROKK2GBV7n9dQGTpJjKhyEeseCyyAOiPQqJZzWWp+4HMasaAB5/Y+H7mrKlZIsbHGCM1XxtCFADQ2BZA8CRx5+E7ttuwT+enYPP7r+DaHJAKEwSielmEwugWFxVEwfHK8HL24KEph5WabVy3xcWLSWg1BFWi2ukWiWJKQBO2GMGZi9cjj/+4RYclO2FNXEaXh82CRnmY1JpNUaW2o1S09JaNtO3BmGRKqlVgD9pzVTFssxzSB7S+GxQrvTkmAfqQjcr0ZmKUpqFOAAAnzZmOM75yC74yp/+jamj23DIbjOEhaQYu4TGClWgJAlBYSAWai7bESrGbk+nWLxNcpQS2zEUgoQFqZi+iqikFMfAF3HlZgnOuSyASDkhMv6sXcgxJnh0PZiMsVMrA5LJgjFxn/NyWaQSyap93AIIBChrd6far0pbzOWiTl6ZLGIVtkyCntnqkjMxj46bfp8mU5VMt7dMr+R9xdh5a6XYL4Nk8zGg4ZUKSCajLeEY4UzNTZX3JwJx4roiZEEhju2LzADiuiKVDhDnEgaypnkuuo7y2lNHevDUc+d7MrbNIqKZSh2V5889ryoGz1iIz1z/V1iE4A+fORmW3F+ZOliSHYll2eFoCEqYKoljqV4FdQ2BfjwSRjhLzo/nOHBZEHljlBJTy6uWOCahFCU/wHPvLMHvPgBgvUU2jWy0ZQ2IOuFeEODZ519Ee09RLG6UaHKIqFSUcE3q/8WinSEMPrHB5GKrQcrIGxUAb4Nms9ENnXQJGZWP8hkHi9d14pDv/B4nXv51uLMewPjyOizIj8GzbTviPXc4PNDqmHIaGcSQ/gA0Ko9IqqzuGDNUpW7o7Wn8PapJJdG8DFL9rLGt2TWMKIsUiOKOiYUtrcuYbmGa8gLj+NlpR+LAaRNx6i/uwI3/fgqh70dubVMYF0BtWcKSUsxlceKAL/sP93ZHXa88T6cR8Z5usPXtYOvbRXpWX1ES1Qzg8LzI0lWKiONERVFCqbRVyoKMpuYijNo88nIJCALxvVQCaCYr9iOtcuI4ggAVhqBuBqq7U8xypkQ/KzoVyXVBMlnQQoPuVMbzDREBT80FocLaVgVQ3Kx4r7ZLKwKj3NxmvFmRtpIEMNfVDViqqrfJCm9goVR2vAj0xYSJv+azod26cfctcV0QIpp3qP/hOEBjc5zUZzsRcdXwqPGKF8V35fzpe6ZSFte9Uhbj9Lz4GOQ5/e6h5/Ho3AW4/pzjMaKpgC47j7kNE/Hf1h3QZ2Wwa+c72LNjniaOVU2rHCOhtKpyY8rG8fecw6M2nNCPh03MsFzit2mci2cXLMOI1hZsu221+35zy//1ftalUgnPPPMM3nzzzarvyuUybrvttg3a75CA9QEHHICO3hJCxnDvu+u0Ow9UlAaNFRzRrvBQP6wIQziy7Z0PSxRAkCxbEFmmNJQlTE0NUwGbjP1oAJQyrqURjkXx3U8cju3GtOHYH9+Kpx5/FDM738R2xWVY5zTj6ebt8XpuAjqIcJ9qS6cWexPpgJWUJAgOilGujq3zjG29IMUs3P6s5XpgruZKLXRGIQqScUFsSy/S1HGqq0pJlipxbLHYpoGDFMey8OfPnIJT9piOS2/7F47+7g149OU3BRirnF9lKSt2dKUc5ReXZUvKwBfHkqlZXJYp5b6nF2IehGAV9bnsnNVXlC52oTCyPlkvWi763PcRrO8Q35X6BDNbpmUxryIyFORir+LRasEUrmwvInwlXLU0l9e1AlQd7FiurTFvzKsIBUDGppVVTVRKktlLuyznhoWS8e4KRadWVoO61mb1q0QlLWXx6hQ3FYPO5qGLucj63Nr1q7wDVHggTEtXhyDMe8NgqotiNJaeE+3JKZXE+XllraRBKk6KPa4VeFkch6juaSofXR3fzD5Ikfkr1uKaOx/AZ4/YD9P22BsvtEzH7KbtYHGGfTrfxM5d76Il6E1MJ439T2xLkGDVswRUK95J17ZaswB43ILLEx08kuEs81lPnAtnDI+9sQBHfPQEfBBaYiajZxv6+jDK/PnzMX36dBxwwAHYcccdceCBB2LlypX6+66urlihlMHIkIB1oVDAfjNnYpvRw/GPJ18Eho2MNHH5sFa5+5QmLx9oCxwOC1CxhAtM5xTKAhg6j9UUdRMrIDMAkYchPrnfTlj6yy/j8qNn4v4vn4nT9tkRn7npXnzvnicw0uvEHt3zsU/nPLg8wJzCJDxb2BaL3TYE1NCOawB2v7IhD42ZKmY70UtZmxLAiSqDmWKJV+0vzX1txjOTC7n6zLaj+Uxun9ydbYmXBO008G7Iuvj1p4/FfZ8/Het6ijjuR7fiF/98Il4200z1S4vrmL2YlYtWbqsVi0IBtJDX88h9X6dCaWvftiPrVJ+DTI+xbGE1mx4MNR6zaIeySpMFQBTzOAxhFQpRm01z3kzFR7rVSaERtLVNxKMtW1vJnBARq1dFO8JAtqeUwC0mATovPC3rwSRpqe2pcd3ls6jvK+mJ0G5xnkLGVKCZL0g3tS3uVceNPB7yXPUzb1lCsUl6lQwLmsjt9PoQY49TwHGjmu1uRlznhgahwJlkzxqV1UzhnOO7D76Eyy65BEdf9CWsyAzH+NIaHNDxGqYXlyLvy6I6KchBCI3SSNW5pHkUzOudVKTkuVXsDDIIq69TfLDxv+ZYaNS/eou8v3LllVdihx12wJo1a/D222+jsbERM2fOxJIlSzZ630NGGzz66KPxx/fm4+n/PgufXgCHiM5KiqijU1+M1C2VokUsUX4vwzyUqYsmIh8SlWajYt6qUbx2Y0UPQFW8mDFYto2CXIRdx8Fvzj0BU8aMwDf++jBWdfXi52ccgwLKmFpchinF5ViTHYZlmeF4JzMao/xOjK+0ozkoDp6XaBY/qGXpyDGaxREiy9VYyNNKNgJ6HmKM2rSULQm8VSz4euloSsxyl+ZYa7jndO9y2VQgzdo+ePrWePHrF+Bb9z6Jq25/AK5t4aIj95PKmKFYqAVQHo/7nkzrC6K8U2mR8cCPXIM8ivuppgqcyfiummMuiUVEbCtSDOU9GQbgSoetQ0IUcxaxrXkYaBdoDHCYiIkrV7juj20yrzNZyVaX8XAVz2cs6q6lmN2KbBcY41GfUyrA3Jz3ZIaBOnYYAtyv3pYxgEt2dSYryHfZfHR85R2wHUBZ4EpsEQbg5ZLYJvDF808oQJlggieZ98qt7Ul3tlovku5gdR5ZUa1QFZERgE0BWyqIygKH4COYvAslAbGxymnC614Wp5z/OWTXr8CeXfPRFPZhICKs+QSBTx+UV39mzm8i9syDEGXLRaPfXb29yQg3tk/K4vYuvLl8zQcGrIeCIPZhJZg9++yzeOSRRzB8+HAMHz4c9913Hz73uc/hIx/5CB5//HEUCoUN3veQgfWnPvUpfP1r18APQjw17z0culUrUCqCMKpjl3AIwAl0ZSMJ0mpxzTIfFepEhBGzwAUXD7sWZW1DLpyaMJPChAW09XXFRw/AqOYGfO7me7Cmuxe3XngKcq4DCxxj/E6M8TtRtHNY6rTilcI2cHiAMZV2jCq1o4FHNZnVuFN7XZsPbC3ANoVE1ZqSfWqjbUzLJnLzifAjq1ZW5IJPlBtSAXsC9FN/aw7NPEf1+9gYq4Fb1z6u4csihODaEw5E2Q/wxdvux7sr1+F7nz4OWTdxnkadZtG/3NGZBLE4qhnHTC6Wyu0sx8mDIPad8PoAxFagGIKH0pVrWHXrunuxpL0LlYCh4vuoeAGKvo+Qcxy103ZobMgDLLonRZ38MGaF8pIs2EGpIEgSIpSQQJQD5Y4ANlIqAl0dUU9lV5HsSNXY9f2l48U0Am0gSm0z0qLE9rJeOYnzR5hsY0pUAxTlFVCsakBa0hFpK+ZOJ1RY2wlFFKBCX1fd1jiLNWjR6Xnq3KKbJfIgUHk8ywKYDCHkEs1WzGpmgF57GKFotxqw0m3BGqsRubCCv//tLnQtmo+7PntyfG2BqfTH72Ht7q4FyonPFFlWc3bU9/J+JbaFCnWR5X58rTAVVcaqexcY8qdnX8PRxx6HESNGpH6/uWUoGnF8WBt5lEqlWOocIQS//e1vcckll+DAAw/E7bffvsH7HjKwHj9+PA47/Ai8+MxTuOvpV3DIRSeDlEvg3I8YmVUMW2mVSM05y32U7QxQYYa7s9o609Y2IBdbqt2QqkVnmtWhgOuM/XfByJZGfOqXd+D4n/0J/7riTLh29AAWghKmBSVs27cC6+xGrHJb8d6w7VEIShhdbsfoSgcyYFXgGgO7WgBdQ+s2awwTKwHMSQs1Zg3RVC6RGkPV/szxKW1dnketmDqhstxDcoEyzzHN6tY51GluRIL/+dihmDCsCd/4x+N44s2F+MOlp2PHSek9eKm04vS9Y+xTA2PKudUdn0ohsywgiGLQAWOYtXAJHn9zAZ58azHeXLEWHcVS6rgAYMbYEfjb5Z/EpNEjIytOeZDM3F5zHGEIDslelp4PUddbktYcJwJpE9jU+zAEKI8pNCKkEIjfVcoCGC1LxPuBaH8yzq5Z18kUIfNYquiKmTZpWqrKUtc/JvHyrIqdzhh0f3IAsLPRbzI5oGONcKurSmW2BGlVglbF6okvLHPVzCRXAM8VQPp6xHupmCl+wHqSwUqnGaudJlicY3TQhb29RfjdvQ/hrn88jBe/eWHV9UwCtSJaEsdOKCDGaZtKrbz/NGEzef8r05NxgArWeTaQilzV/Vlb0Se2BcY4/vjMK/jVTbfW3G5zC8PGx5xr+Po+8DJt2jS89NJLmD59euzz6667DsCGFUNRMqTZ8+eeey5eeu6/+NcDD6Lvsk+j4LqiYhSihRCcifQVg4SjrOQs89FjiYc41Wp1HKNUohGTImpbye41LPaYtWUQeo7ceSr+deXZOPS7N+Kmp17GZw+RVX+Mh8MCMCroxqjKenicYE2mFauybXi3YTxa/R6MLndgpN8JR7GK+yOQ1QKQtLSMWukhpvDE/CT3Z3olUn+fclxjf3rYNRaoVBJemsT6SJsgS3DxoXvhwOlb47yb7sFB3/gNbrv4VBy75w7R78wUI/mZ9tbAcLUrpU1V/Uo5jyrlQhEXAahqe1/72yO467nXsKa7iOZcBh/ZbitccuhemDKyFZOGtyDn2nBtCxlKUci4WL6+B6f97u848Ns34O7Pn47dpmwVC2coz772aqhFXLmiLUsAj5uBrvSnLGVbunW1hUvjSqxKUTKbioSIAFOx1c3cdEnqI8kUL/lM0Vw+NtfwBbGOmM+cAmPCRWw6k427rQmJA7OZwqV+L13+3MmI7mCeJyxytR/lzmZcKjMAax0JEvrglgPaJ7JOVIEVqJxuy0ZvWMbK3DCspA3wiYXRQTd2qSxHK8ogjKO9p4gf3fs4Ljx4T0wdMxympFnUmlyZxv9IEzXXpsdHH0AoLjwIQWwLvuMioDayJERUVz16jnkQxp8f43/OGB5/6z1U/ADHHHPMwMa2RTapnHTSSbjjjjvw6U9/uuq76667DowxXH/99Ru0b8J5HdVtkOJ5HsaOGoH2zm7c8j/X4MSjDkPmzedi2rfKoyauq1NjVOx6ldWIRZmR2Kf3nTjwKXcbiaeA6UUvsUCL44RxN7l07SUts4tuuBv/fnke5v7gUjSqnrVJd3HigStTB6szw7Aq24aincMwvxsjKp0Y4XUhk2R16sGaDxytPoaxTa1zTyXJ1Io3A3ELs1YivgkgxvGSYG02VKjrQTCsgX4rnhnu076yh3Nvvhf/nvMOfnH2R3H+kTMRK4Vpnrts9mL29eVhCJ9zVMpl2JQi49iaGZsWslBzsqK9E394Zg7+8ep8fP+Xv8XnP3M+jttxa5y82zTsPmkMbMuuinkmZW1PH0657i6U/ACzvv1ZWBmDJJk2Z/Iz3YmKEJFTrqxXryys4SSpUpM2DWBUgC/PB5yJPHTd1cu4Poq74FVq8w+4SGsjjh1vV6rHkPidWRNBnFh8fyZpKgHW3M2CUwu0XARfuxqkqVl8r4rjqN9nc0A2jzDfpDuWka52cb4tbeAc6IKDNb6FtR5FH7cwkhUx2l+PEawvYtHKMd708PO47OZ7sOCnl2NkUxRDTAXqZHy6hvtbNSOpMhTknJoGBpfFXIhjo9ttwMuFbXBQ9xuRB0JmD5jPh3KDK/AmjgPu+zj7pnux9QFH40c/+lHVmDa3dHd3o7m5GX94ZD3yhaaN2ldfsRtnH9aKrq4uNDVt3L7+t8iQWtau6+LTZ5+Lf9x+G268+wGcctj+IJmsAGXNzuTajWeWJeVhiDz1UaJuFTjIf2RzD+lKN11tSsyFIvTAgViajDi8cGlxKgD7E/vuhNuemo0lnT3YvpAgzOj9RmDGGUOW+ZhYWo1JlbUoWhmsdVuwIjscbzVMRJPfi5F+F0ZUOlFgRlOBpBWbZpEmQI7QCKSqOpbpU06JVavjDCReLn8Ts8xVQRu5yMTGk3C7V+V8KkVkIMc1rIR81sWfLzoFX77zIVx6yz8xZ8kqXHPK4Rg9rMkYk5IQ85avxV+fnYOXFizFyvXdWNXZjfbeyFU9rrURR+wwGXtOGgfXtbHvtK0xaUSrXlRXr12PW55+GT/9z/OwKMHJe+0IAJj9zQuQIdHY+wNqABhRyOHHHz8Mh/30T7h71lx8bN+dDTCzYkAdhCEembsAE4a3YMfJW2m3ra5nrRqY6CpkqD5/bb0myINmLQPtthb50PC86NroaUzU6VbPlip2YlZCS2OZq2NSKix604ujFKzQ2L/6KwGJBD5IWAJfuwqkqSWy2CkFzIIrcqy0LIotccsBzzWioxxiTSWHNYGNABTDXY7JbC2GsyJsFgIs0NdQeWBYEOKWx1/EAdMmpQN17BxJ3HsUhhGpNQHYOu/bCGfFngH5v6rnrUiSfcRFjhkucMuKWpHWECKvx/q+Cu6bPQ+v3HJXzW3fD/kgE8zee+89fOc738Fjjz2GVatWYezYsTjjjDNwzTXXwNVkaOC1117DxRdfjFmzZmHEiBG49NJL8ZWvfGXTDGqAMuRFZM8991z89te/xuI1L2PO4lXYYfKuyM57QZJtjAeZEqE9qsWKc+SCMgJqwycOHCsU4EyMGuGcxsFBxsEJoeCWtNAtO3rIlKVqsk8ZF0ANAJRg4doOAMAB3/o92hryOGGP6fj2yYcgl5XxPfUQy8UsaSUVwgoKpdWYVFqNMsurLFYAAJ8/SURBVCjWuS1Yk2nFu/mxyIcVjPA6MdLrRFPQF1Em0iwVU2pYpvUaguhxDRSgByIpCxKxIsKauZ0Ccq4X7ziIJ+ctjdRmUYqfnn4kpoxqw/f++ST+9NTL+Mxhe+OiI/bF6NZmvPzecjzw0pv498vzMG/FWrTks9h/262w/5TxGNVUwJiWRmRtCwHjeHXJKjw4913c8vSrev87TRiFmdtNxKwFyzB78QpYhOKzB++OK4+eiUI+jyflGMAHXw5w7ynjccT22+CKO/6DHcePwtRxIwHOwfwAs99bjpADD8yZjz/991Ws6uzF9uNG4qnvXoJ8nornQDGoLQuALEij4rRmfnTSQwNE91MmKxZ6zkRxFwXUgCBeKbc5EFndZqjB3K9plccUAvl7K2HdE2M/lBiWMcTnLIzGqzxigABq2xHegMCPM8UThZTCchlrrUasCW2s81phgWG4bWH7rI9hvBdWGABOADAHKEVkUL2LkOGqP/8Lsxcux0NfOUvuNgHSSWs2OcdpHrHYQXjtbdTcUaKfkZLlIs888TuVqZDC+AYQfW6Jim93vTgXu0waWxUf3SK15a233gJjDL/73e8wZcoUzJ07FxdccAGKxSJ+8pOfABAegiOOOAKHHXYYrr/+erz++us499xz0dLSgs985jPv29iH1A2uZI8dZ2Dhe4txxIEzccM3vwir2AmydGEMrGPuaB4VmXiyeXvsUlqCFlSiMqNMlm7UDFYSA2Di2NoVCkArAjo3mxKdwqGqUSnpLVfwwCvzsK63hCXtXfjdQ89h0ogW3HzhKdh5qzFxYDWmqsryN4QzhoBQdGRasMZtwTq3GRQcw7xutAU9GOb1CPan2mfaAlyDiDYQ0Ivt14xfp4lxPGIsoklXePJ4+pgmmcaKymjySjl1juqS8gzpKnu47uHn8euHX0R3OfJQDG/M48jtJ+Oju0zF4dtvg4xTX9/0wxDFSgWPvfke7nt1Pl5YuAy7TxqLI7ffBofP2EZbVwGx8OTYvXDgqlmi+9EGyLreEo766Z/QW/FwzgG7wQ9FZsRzC5YBAFryWZy69w4oliv4y4tv4JMzd8H1nzs1qqxlRcWEdKxWXRMTrOuBBSFRaVRzWwXUZgEaIL5v0xpMunyZQSRLIxmaHiO1XeBHrnxKog5phEZxeM4EQKvvjFxxHoboDgnWkRzakUMnXBRIiBFOiBF5G00kFEQ8zmD1rBdeCcsSHdhUj3NDqbz2rofw43ufwM8+eRQulByVWqxvVcazyrNQ7/k0n7XkNWIMzPNiVjUsC3NzE5BlHqaUV2kOhSr1q0TVGtcpkRnBeN/v2zfg0m98F+edd171WN4HUW7wmx7qHBI3+HlHtGwWN/iPf/xj/Pa3v8XChQsBAL/97W9xzTXXYNWqVdravuqqq3DPPffgrbfe2qRjqSebBKyvv/56/PQ738B7qzvw7EP3Yez48Wh7/RFRZEFZZZJ8oVzhisH9UmEbjA26MC7oikC8Rk6wWUO8Cox1e8HIDc79ID3+axDP5i1bjbOuuwNvLV+Da085FJ8/cl/QGlPUX+tL9T0D0GU3oN1tRIfThC67gEJYRpvfjTavG61+DyyzvZ5JUDGkrsu73kKhPk+TWHycVJ2PUpTkm2rGq5GaQiw7uma1YuTJc0yZW/Mary+W8Ny7S7G2pw/TRw/H7pPG6NrNA5Warmxjgd5YsFb3z8rOHpx+/d+xtKMLrm1hTHMjrjxmJkY1N2Dq6DZkHXFNf/PYS/jq3x/F8bvPwGWH7om9Z0w2dkaFK9oEPmUBpyl2+nwi13sMsI3QkwbttH2ZlrfiLkjg0HnXZnZCSt5wNQ/DGL9yzWdy4Fr5oCIfm1LA91DyGdYxF+2hjXYqcqrbUBYvVkK+uRHMdsFdQUSl5SK47YIWu8T+wkA0M5GGgDIIXl+yCntf8yt88+SDccVR+xlzFr//TJe5bsiRdm61cqnFTuLvDaDWFjsAWBZeaJiCieW1GO13ii5vsh1srEZBglFObAuvLluDw79/M1ata0djY2PtsWxGUWB943+GBqzPP7IFS5cujYF1JpNBJpPZ2KHG5Gtf+xoefPBBvPTSSwCAM888E93d3bjnnnv0No8//jgOOeQQdHR0oLW1dUiPP1DZJL3UTjvtNFz++cuQdx3ccsPv8P2vXIa+bfdA7rWnI5BUpUTloq5i0A1hGb00Ey0KTJDPdGco05JLVqHSrjlxc3NmNFpT1nzAJLjHe+uqBX36+FF4+juX4No7/o2v//URPPTaO7ji6Jk4YLutYFvx9KaBlg+lAFqDXrQGvQBWwicWOpxGtDtNmNewFSrUQavfi2F+N4b5PWgMSqI3rlpwzXSUNC3fBMZkrBFIB2pz7ArgZey6SlTcvEYcTs1FrP57PTEXuuSCnwg1tBZyOGbn7YyxDk63HEjMeSCiO8YZ+6taUAGMGdaEJ756TvUOEuP+zKF7oc/zcccLc/GJX/8Vs79/MYY3N+r7VPyGiZuHUPl7qYSqph5JpU2JcoUDiPWtrgXUAHipFFdkE4oiD0Nd7hXU2HesZGkEwDGA0WMW4+aWBZ7JgxOCsLsT63lGgDMroMQttPAy2lgvJgUdaLaklZnNAXYezHZFipsEeKKsc0e6+ZV1HUKkjQJYsLodn/ndXzGutQmfP2zv2PUwswrU//qvzyJPByCMC8eJzV3dokLyealyaysuCICilUVDWE4H6iQLXI2ZMfzx6VfwiU9+6gMD1JtKJkyYEHt/7bXX4pvf/OaQ7f/dd9/Fr371K+0CB4BVq1Zh6623jm03atQo/d3/KrBuaWnBKR//BBa98hxuvedBfPGz56NxxBjkczmw3h65uIQxDVN0wxE5zmuzrTo+StyMtto0GNRyBiiWsMy7jT1IgS8UArXwOQQEVqQsyIeVcwaXEnz/tCNxxE7b4gu33Y/j/9+f0daQw0d3mYozZu6MfbfdKnbYeqznNOvb4SFGeZ0Y5XWCF4ESzaDdFeC9ODcaIaFo9otoCXrQ6veiOSjCTsYMa1lYClBV7CwpyW1TB52wNpKsVnObWkCeLMJhfp6UlDh7vUItA5FBgbTiOABSiay9ab0a6ECdxdvIOSe2Bde28eWjZ+LTM3fGnt/8Pa6+8z+44aJPiGcimSJkuqyVmPOdzMXXveRNUpoB1EB8vpUnigmgJrISWWz4+ULkAZNNFqJe1TXmJMEQ55aDEix0+C46PYJODyjyYShQhjYrwFSrjGE9q2CbXqYQ0IVbCAHhXJRgBUD7ekThJTcTudGNrlxKvnf3o1jT3YvbL/oYHEqrSZGofb9wgyRHzLkzMg2q5nOAUiY2GCjyQSk9Tp3sHAdhVZeDEH95/jXce+1Pqn/zAZChJJilWdZpctVVV+GHP/xh3X3OmzcP06ZN0++XL1+Oo446Ch//+MdxwQUXbNyAN4Nssi7l5513Hj5+wj0IwxA3/ulOXPW581HeZmdk5r0g2gYaoEOkpk8sG43ExyKa0a47XVZTsqFjoGAsarpwgVF8BUDMTQtVExmIUrvC6CGMtYR0HBw0dSJe/eHn8cqCpfjHrDdw90vzcNt/5+D6s4/Dp2buIvYzADCpSwwDkGcV5MsVTCiv09p2p92ATqcB8xraUKIuGsMSWvxetAS9aPGLIi+zltQjmdUjyJiMXcAAg8S+DEWAJ638tP2lvR+I0oAU8EtabECqK3NAYtaSJunz1R84p3VUMxWNtPFzxnTt7NEtjThul+3wyuJV4nttVUtgNa8XZwJQWVC1iMdT2xK/UZ8xrqv+AhCZGLLqmlASUO250HMtrUwLEdfEQqz8K1Q/ejEJYAB64WA9MliPLDorGXicoJlX0MK6sZ3D0dyQRYYb7UtNoFZKCKWRC50zEMgiParXtup1rubPLBQD4JVFy/HRnadizxoFd6rOt0bPb+0WV2PtL/zEq0vvmnHwXiuHfCh6h3O1TdLlbSqtclz3vzofbQ0F7L///v2fz/sgqt7Lxu4DAJqamgYUs/7Sl76Es88+u+4222yzjf5/xYoVOPjgg7Hffvvh97//fWy70aNHY/Xq1bHP1PvRo0cPYPSbRjYZWB944IFobG7G3lNb8es//Q1nnflpjMtTkEJj1KuXyUInPAKzxrCMCnXh2S7c0I+MHJVeJC1szhiofIBFRy5bxtcc4f4yC/gT4b7mnhelfMmFB0AMwNV7wTAX7ufdpmyFXbceh2tPPgSX3fYvfOaW+1AOQpx34O4bN0lp+ZoAGlgFDZUyxlfWAYSgbGXQaRfQaRfwXm40ehpyyDIfTWGfeAV9aApLcLjhJk8rwJKWfpMk0NWLxalt0sRcwJL7TnPJm4tbctv+jjWUklZhCvVjhlXWjgTkJKEuDby1qP0xjrdWrsOOW42u7hnOGZDstaPDQ4bCout9BxGbWrnQq4iHLEbG1GVba4G0+plRt4Aw4bkyc905gD6aQRfJohsuupFBN1wQAC3w0Ep8bJUJ0Zhx4KxbISzhbAEcidBJLCwiz13monPLApddzUjggbevAWkbKbZR1rTZ1YtQvLpoGeavWocrjtwnrsT1o/Dpz1TLWJUPn3xekiBtWNoaYNMqmAHooVk0BkU9Vk0kY9E6pM+fRXN929Ov4LwvXIEPQoetD4qMGDFiwOVWly9fjoMPPhi77747brnlFtCEkrXvvvvimmuuge/7cGS9/4cffhhTp05931zgwCYEa0opzv3MRXjqH3eAEoJf/+o6/ODyC0TXHEkuAyBrPts6Bm0TinxYQQ/NYTiVAEoozOK9mshkkEF0XWbDDa7IaSrdiFhARJKSDxIXDemJkWMHSEvdIPgQm8JiDL868zjkXAeX/fHfKFV8XHzYXv3ORb+x7VqEMPlQZ8MKRnNfkFAA+KDotvPosfLotnNY7rahZGWQCytoDEsSvPvQ5BfjAG7uO+14KocUgJn6Vjcdpc758rRjmWOpt896QG1axGnHT1jD/VraphuckphxJ8YZt7bSSHi1vouNK8VFXvJ8vL5sjcjNjk4AMZA2y+cqrgYQK+Er3tvVFrYp8vkwldI0K7LufDEugNnOoptm0W3l0EWz6CYZcBA0wkMT9zAOfZiOTjRQBiKPwbLDxHlksmDNonIY8UXPaW4bSrvBTRG16C2hOFMjA6SnE4wxEC63zeakpW02Jwlx9Z//jamjh+OUPabHzkGff53zVEJdN65smtfYuJ95xdMscpNlrr1+tqGMMYZuK4fmSrc4H1V8JcEDSXqjlqzpwFNvvYfbzjyz9tjfZxmKftSbqp/18uXLcdBBB2HixIn4yU9+grVr1+rvlNX8yU9+Et/61rdw3nnn4corr8TcuXPxi1/8Av/v//2/TTKmgcomA2sAOOuss/Cdb38Llx53IK67+0FccM6Z2GbkVnC61usmHZzJzkJGJbJGVka3nceIsCJyomMEKqYJJFooEWkuLIwvXiYRRJHLzKIejMdrlptMckCPSZOLAFDbwo9POwI5x8KVdz2MkDFcdsQ+Gz5JtRb3NEtYisMCtHndaEO33tYnFrqtHLqtPLrtPJZl2lCWAN4QltAQlNAQllEISyiEFeVIjEs98FTjqTWulN+p+GssdJH87QDCCHVJPAOQNHJY8jtlpRBCQGp0jk0rgWt+159UnQMlePStRSj7AY7abYYul6mtZTMemvR6mNa1md1QL5YNJEJEdcpnyu08WOi1s+ilGRStLHpJBj00gxAEjbyCZlbB2LAH09gaNFhMzByhAFTlr6i6msgbZ2BNbfp+IZyL5xaJamlpViMLADsDEvpANg+aKxkV1GS9BkWeYyHae4p4ct5CXHfG0XD6C2ekzZHx7Kc2sUkI5wyUCjJssna9Dn8guld67DzG966E7tJmnr/ZYtiwqv/83Gs44qijMHbsAFz675N8kIuiPPzww3j33Xfx7rvvYvz48YljioM2NzfjoYcewsUXX4zdd98dw4cPxze+8Y33Ncca2MRgvdVWW+GQQw+Dm7PRUsjiB9f/ATdcfZEo3iBZm4RzUX5PCrEsNLEyumhWx5NVbXGdcw1okFUFTlQLRVASI5BoK8+sd6y6fkkLzVy0dCMQswavacnIfX77Y4eBUopr/v4oth3dhqN32nbDJinNjZa8U5PutxRxeIi2oBdtQS8g05I9YqHHyqNHLrTtThOKdlaQWsIyCmEZDWEZDWEJhaCEfFgGTVrYptRRIPQ40z42uQbJfQwidq3EjN8NWGTxnFQxLesa35subZODULNuen+rjRz/fa/Mx7Qxw7HdVmNEzrDYqYihp7mx9f4NIOastqKVAGx1byfnwuNA0cqhlzjoJRn0UvHyqIMM89HAKmjkFYwLu9DIyiiwEiyzHCpnALMiy58TIORR7N22BTGMOmCZHEjogxgd0Ijvia5jgABg1ZBEKTCEaqWEW45I1+rqAM/kQHo6Ab8nzmEJQ9zz/GvgHDh8WpzZOyBRc2SCZr10Qz8AIRTM9+Ns7mT8We7DA0XZyqDRL8bv5VpkTEoRco7bnnkVP//9zYM/n80odZxeg9rHppCzzz6739g2AOy00054+umnN80gNlA2KVgDoqLZFV/4PK4+7Th86Ya/4Atnn4ptp+yG/FsvgPUVhZvacWKLTTMrYYkzTLTbRWSRqAVfAzah8drIpruSGO0jLWmFENHzVgG8+T+AKAbHSVQNTe5TKRTEssE5BwlDXHvKoXhrxTqcd+O9eOKr52C70W3y0Alg6U+SzUnSxHQPJqUG+Lk8RFvQgzb0RK46AGXqotfKisXZzmKt24yilQUHkGMe8qyCXJj4G5TTrXGdn8uiDlMJC0JLMp5dD6jrLIz9SZX7EIgRq9R+614bA6CTY6kCavVdHcCvdawHX38XU0YNi85T9bNWAKz+J1KBCsOoLKdpTau/CZa++b/HCPpoFiU7iz7qihcc9FEXHrHhMh8NvIKGsILRQbfwxMCDo3ogmTFcE6TrKUEqzUxawNQvS7CW5UNZKN338jxzeTGPTpP4znETRVyEK5+uWw2wEKTYLctzKh6KmL83l6zClbf/G6fsPh1jWmqkN9VChKQimATqFMUoNXRQB3E6aR75oAQXHIRGVjVPe5bl37vfaUevF+DYY4+tud8t8r9XNjlYn3DCCbjo/POQ32oK2hoKuOGeh/GzS88AVFMNc2MirOImqwSP2CiBIsdl2lYgq5mZLnHTSlZMV0JBCBfWOKGAWmjkomLGuZWVoQs+IIwsMCNvmDpZDdY8DERsCgB1bNxw/ok46Ls34rTf/BVPXH0OmnKZGFilWl4Gy1ozhsOwvis1zQWdZGsPgHBCKEUOAXJhL0YYDe85gBJ10WdlUKIZ9NlZdNiN6Mu4KNEMGAiyGsgryIcessxDlgfIUA8Z5lcVj6lZ0MYcZ5JNngbaKWld9SrIDVT0fhgHcQxriCeqV6lxGWNJZfinpLz158IfVshh8bpOTfxS92Ds3k2CYY2YcsAJysRBGTbK1EKJOOjTLxcBseDwAHnmI8895JmPNlZEjlWQZx5chHUBJib1UrYsmVNtutlVOdJKGdQtR/Mo23YSqQDDFX29iWJ0hyG4bQsrnBCQUmdkcave2NQS5VorZSCXAywLP7nvCYxqbsBvzhwEsJm8BBUCS17jJPeDc50fnRSdWaK6dql0rzBEZ6aAZq83mi/xg5rz71Mbf3jmVZx57vmxGtYfRPkgu8E/zLLJwTqTyeCs887H7fc/jEs+cRx+8Me/4PLTjsP4Sdsj887L4EXZXYhGVrLlVdCYq6CL5JALOmMPvWZzq7rgqmxprXQLHQMEdOqLBd2uU4O9CeKaQS53wrjuckMcJ+qIwzmachn85ZJTccB3b8L5N92LP154crwEZp284pjHADUAQAwocoXXYJ7qv0nwU9IPqIkUMk/UKUYP4BveAQAVWOijGZSsDPpoBt12HmtoM8rURYUK963LA2SZjwzzkA0FgGeZhyzz4YY+XM5gk0Rb+Vog3Y+kWs96wAN40vvzZNQrJ6neJsA4jfXdn2cl79rYbWsZfwwDgBvzIVnBjHH41EaFOqhoMHZQgY0yLJQt8TckFizOhALFfeS4j0ZWwSjWgzzzkGMV2IgKfaTlG6emxgHxtEblklbzpDgnShQpVN23hEbeAEuQxWJubwAIPOHidlyxHaUAFVY18b2It5IrgLlZUCpTtBSouy54uQ8kDNFbquCfL83Dl4+ZibwbecfEZA7UmlYeuoRFDcSeJc5YNDdpedHmPClhHF1OA0aXO6K0N8aiXOukksAYnu1z8NzzL+DX1/8uffwfINkC1ptGNjlYA8AVV1yBbadMxic/diKacv/Ct3/zB/zu21cCLW1AqaQrA3FAuLQsC81+LzqdRoxmPeJ715WuaRrVoFaM70QhB65chEZ5vxgDVv1lsqpZiChfVDUGQRhn26q/qopRGOp2dduObsMtF5yI037zVxzygz/gpvNPxDTVJ7eOezTN6qpJWjIBW4mZpmUC9hCndBAAWYTIsj4g6K36ngHwqIMKdTR4l6mLHjuHdbRZAAt1wAkF4RwOD+CyAC4P9P8O86PPWACbh7BZAJsz2AgjF3ytc6uVKlZL5LwRSkVs2PAAEI7I05FsvVrneqW9j30HICQUARHAuqKnDDp8LI4/5jAsQhN8OPCIAw8WfIvCsy14xEYgm2LbPBRAjABZHiALHy2sDxmEyHIfWR4IME5a3qrsZkJUTYIYCFOiOSL6M3P72A4SCk9yzlWIyqKiZ7VsTEK9ii5sAkATz7jjGjFwOQYWasIYzzeAW47gudg2SKkYc8MTmWN93wuvoc/z8Yk9ZlSFuvoV09Wfpkgan8WUnTrpfyQRSw85R4/TgGm9S6N9+TJ+r9YwFeqzbfQ4BVz318dx3PHHY8aMGQM/ly3yv0o2C1iPGzcOn7nwIvz5rr/jh1dejrOv/jYu/tQp2HHatshRC2zpopjLFIyhNejFQmeMeG8uEpyBWG70cKgKWmEIQm3dcjMmhiWgmJcEomqa7kEbxl2A+gFzJAnNsWM1zInrgrOyXtSP2nk7PHHNuTjn9//Aft+5EUfvtC1O33dHHLvzVFCrdvy1Vny7poUtTkLPU/SDBIgNJNWqP8LYAIUCyDIfWeajGX3VG3CugcojNnzLgUdseLLDmkdtlKwsuh0BTr4EqIBYelEnnAng5iEsHlb9TyEWN8o5KNSLgXIOAg7KmfyOifonCfAK5f2xzmmCpdKBIACWE7F3RggYKBghYu8k/pn6GxALIRWAHOgXRUgsfZ0oD1HJlXHeeaMxemQLuqhQYjKhh0YwuAiFEhN6cHgIl4Sgigxp9vhW7GdAEjwQt4yN1KGY1ZfMITZ6ZBOzQIxpaZvWs1KIkl24kseRjHBuieqBrCknmm5k8gKkdZqWUOQ4jOtSKUdkx1xBbBNK7ohXibJCFOs8mwcCH395+mXsO2UCJo5sHRjbybS6k+S7pPKb5I2YipCq+51UgBLb9zgFUDA08IoO/enpMgmMhCAEwaPFHB599FHMfuWV+ufxAZEPMsHswyybBawBUQ5u8taTcMLHP4H99tgV1991P3539UUIG1pA3QxYqS8qtchE+cHXiAvfcuH4Fe0a4owJ61Y/qCq2zETsWVrYYjtflCKUxDFuLiyEinQdFgLUErmgamEzlQP1GaMCoEuiZ7K6l8wHe5etxuCZr56Lm55+BXe+MBen/fqvOO/A3fCLM47RqUH9Nf8YkNSKUdezqmsRtmoB9kDAfqAiy0QKgPUA5sXHlBQDKBmIAD1qIzCsUvW/eE/B5CugElhB5GcCRLkGWwKuUc04pHTOL8yPBQGPfU3BQbjYC9V/jc/k5w4PQRmTCkQYKROMxd5bPES54mPf79yIXbYeh/MuPwMIjAXedqTb2AcsJu9BiPta3ougNYhdaYV2bEeDK++Tlb4IBaF2PF6qJNmXWtYnSLKT9fGShMEwBAivqsYWZgugoQ/uZsGpBeKVqwhqRLmbfS9O7AL0mIgnu2rJnG0QIrbnYm14d+VafFTWk9+Y2vD6WTWfN4OzkESUZIpgMmVLzBvBercJLV6PJJQlFCMYirplYX5uLG7/059x8sc+hu23336Dz2VzyhY3+KaRzQbWo0ePxucuuRT3/eV2fP4LX8RnL7kU6y87C03NrXC2mQYy71VwPwDN58AB2L1daHAq6OAuRluBjiMDLJbqZVpIxLLAK+Wo/64kienKS9LNLdxzagZkuoxi+KqiCmaqVwhtgZN8AaxSjrvBWBRjKuSzuOyo/fD54w/GHx57AZ+75Z84dMbWOGH3Gf3GLwedT5x2R5uAnYyxpaWFpKVTbS7phxhHAFjgsHgANwzqu/frEYH6GwMhCAjF48N2wV5db4m+yAOUQTH/DWv2+sdnYfn6bvz1irNSLDG5H9cFfB9ACAKZJqXSCkkCLE1Riqfsaqd7xkvPEDGtYDHw5ElF3xkFjOLnUkeZq5G/TZiIP5NSURA6k5W61Px55ei+NPPzLUsANTMUCXPOfVEXPJ9xcNPTL6Oj2Ifrzji6Xql343x49XsJtDHl2nT9G16HmpXg1M+k4sHDEOszTRhR6Yxva4Tr1LarnWa82lHBI08+jTmvzx3IWWyR/8UyRKbTwOQrX/kKZr0+D6sXL8B551+AP/3nGTilTqFN20JvYOWytrBb/R7dJq/KjQfEFxn1AMnUDXNhVw06UvNSVbqHyhlVRBhDYm4x2wYtNACWBeo4ItYkO3wx3xcPd1a07zvrgN2w04RRuGf2WwNmL8cY5KkbbEA8ulbKV1KUSmwukEMF4vXGbY5tsCp1WqGK5Jhr7TPJppeirsFArlXaZwPxnCxu78KIpgKmjB4uFmrHBXFc2cPaEn8JlUVSLMDJiHtTfW5WmIsOLt3QVtT2VQGnaQkTWh1/rjqRBICaz0BaLNfqR+/nDFa5CLp8kWBuK8sYEODMQvFS9x+19DlyNyNIaUEgSHjlUmRNK3JqsUfEtcMQt19yKmaMH4Xbnn0N3X2V+uMC4qBplGKtEuO66mtMCaiT4Mvo7Ul0P8hzZQzodBvR6vXEdk3kuqX2W3KyeDM3AQ/cfitOPf2TmDp1av/n8QERtWxs7GuLxGWzgvWIESNw2eVfxD/+/jfsusvOeG/FWjAQBNkGhNN3F3FhP5AuJoa2Shfa7UbN9o51vVGMUyIXVleQU7TLT4kqupKI42l2p1lrWf2vunOZxQ2UohAEAKWgDY1iQbQshMUiWLkSBWsYB3FdENvBMbtOxcNzFyAIB3D3pS3ASRks6HLjXM2nQH2ujklrAAAwdE9QvfPrz3c2UCWlFlD3t3/TyjdeJnDXA/GkBZa6naFsnjVzZ6xY340f3fNYHCz09TJCNm4mUigtW4zNskURFce4VykR28h6+5DPRGSFUxDLFh6mWmCdjEvXy+u3bMNrI++PpFeCc5GuVS4CTHzHy30iHq2UDt8TL7UflZsNxBnjLJTPn/xNKMG92KNBlocBJo8ZgYLrYLeJo9GU37Dex4rdTcznQiq9sdRMWTM8ea0JiYO0kvWZJjgsQCEoRR/SuHckIBRz8pNQWTwP9z//Mr7+9a9v0Dm8X5K2/GzIa4vEZbOCNSCY4S+9tRArnn8YBx95NB6bvxKWVxLxv+EjQTMuWFGQlForXShTB72h1Eq9uJasuwUBkXsQiOJMsZxkUQMcEC5tHvgR6JstBZWFbRZaMRZTHobC1e55oJksaCEPms9Fx1ELMmcgjo2jd94O6/vKeH7Bsv4triRgpMlQML1rgXZaTvimkA3Z/8Y+xeacDmSezd+lfZxcnGtc21qf7zZpLK44ZiZ+cO/jeGWBZAVTqSjajnbpRrFjOVYFxsoVru5VZZGbHiKzeIoCGMeG2exCDjL6X28fRgoDEFmw6lWvDrkKNalx27ZoUauAlnEBuirklG8UY1IKuO1I70JU0Y0oAqoik6mQQhiI59F1xfPNOZZ3dOOxNxfiwoN2x6CaXahzNzNGYt9HdRGq7p0EUSy18hml6Mg0o83rjrnmiQpTQHA05jROhosQd911F8448yxMmTJl4OfwAZAtYL1pZLOD9bBhw3D5FV/GP596AXfefAP8QhvWegR+tglwM6DjthKxIj+ATYFWrwftbrOMtdniIYewZHTpRPVQA/H8SCMWy6UVHes2ZDvC+tAde0iVC1y7tRgXbPAgbqVTNwPquuKVz4Fms7Hj7D5lIkY1N+Bfc+ZXzUW/Mc6ElRexfocITJOgDaS7lTeFDAQo07ZPIzkBG2b5D5VysoG/v+q4AzB97Ah88pe3Y/m6jurxh0GkTJormAJpBd4q9GN6Smwnqi8eS2lLFipRVqOhlKr9q3g3kNgPjZQFpRxotzCNlIMYmMnPVYqlbetuWvp3AOBXIuWZMQnSNL6K+57YLlfQc8IrZX1O3X3Cap0wrGlwFyRB2ONhGH9G054/+bzEGN3KiEieG2NY5zZjeNATb+ohz4sDmNs4CQG1kH3nJdwz60187WtfG9w5bJH/tbLZwRoALr/8cry2cCkm5oFf/vJXeG09Q2+xD/7w8UAYwG5uAfM8MN9HW2U91tECeKkkgJLI0p+qa1coWvXpSlRmvWIgle2qrXHl9nZdsUB4RvEFs7CFBHN1XO5VtJuMK1ecLEnKmREbZxyUAMftOhX3vzofPEVdrALsNJXStGjUqz/rOw3ka8mmDBL1B/z9jbHWdwNVKFJju4l4rPnZYFX8AShQtaxrhxLcdcknEIQhjvvejVjX1RtZd8rFXO/amN4jExyUKPeqqYDVOieTt6EkDOuXwlWArf8m4trqWKbCoQhrqmY4gBjTnPPIsgdErDr0DTe7fD6HjRSx6zAUz53va3f0G8tFJ6XtRgyrSfiqKykx7Irn4/v3PomV3cV+771kQRPlPhcVArMYFhaj+ZMkNg7g7cIE9Nh57FpchB/c8xjOOHx/TJo0afDjf5+FIRYR3LDX+30SH0B5X8C6paUFX7ryarz4zhLMmT0Lb7/+Cl5fV0FXKIk0Tc06fj28bz06nEb4YeRaU2QMXikbn8k+17K4AJGxvVjqBQDNvGVyoZMu7Vied0J4GGgXm65P7nlgXgWsWAQPQpGzbRQ20PF1y8Ie24zHorXrUZJlSpXUdIsnF9R67IuEK64maAzEYt5Y0K61f/PYVXFc47vBKhm1ZHP40AY5tlrXequ2Ftz3xU9hXXcvjvrWb7Fo+ar4NVC/C4we7aZwLr5ThEmlPIqDVlmLMXe6uX8gvv/k+Sk3OBB3wQO13eqBL54vJfI9Zyxy0au2loFfrVhzWYJUCZPlgYeNBHcygt1e7BHPOgCazYIzhp22GgVCgAfmLqier3pSp875Lx9+Ad/755O46i8PR2M0LGZlWVPHiSse6i8hWOs2ozXohRP6sTAbB7AwPwarM63YrXch3lm2Ev96eR6u/d1tgxv/B0Q450Py2iJxeV/AGgAuu+wyvLNiLQ7eeRp+8KOfYlSOYM7qPqzNjxCADQCMIR+WkQ/KWGs3iophyu2l3GwqLUvV35XCwyBKhTIWfuLYEZCyqAlIVBZQEXVs/Tmx7MjykMxv7vtgKuc68MEZB824gnRiMswBLO3oxqjmBuRcw10PdbghuAT13MNJSbPSB5P2lLSekvuotU/ztxtzzvXGa7qCBysDXBy4eaw0i72OklGLmLbtyGF48CtnoeR52P+aX+Hx16pDJtrKVYCqLHCleJrAoMaSlOT8q25Weuwp16XqHGn8O+3qJZFlrsZouuhVU47mYSJUVOoDOtYJkNbnxuP7lmPlyrK3HfDmNp2jzbo6tbJOs1mIegkU240dhSN33BZ/fv716vMZiJixakpQCRl+/K+nAQD3zJ6Hzt6+mHdGddwiad4N45zWuC0YWVmvPWOEUnBK8E7jVliWHYHdexYgx3189x+P4/wLL8KECRM2bPxb5H+lvG9g3dTUhK9c/VW8t6YDHb19eP6RBzAl62FOR4g1ViOo64qynpxhRKkDa/Nt2t2tLVgufCa6Nm8ib1SRQaJmGka/alUb2XQjch7FCdVCCIjYdL4gGN7ZTCy+x2WpU+IIS163b5SsdEIoFqzpwOSRrXpMplS5wTfUqkwDsXrAmfb7gX4/VPscjGxsLL2ecmIsqJyx1Jf6rup3gwD5ehyF6WOG48mvnoddJ47BR79/A35z32PRvWmSlHxphap7UN3PYSgAsG5IQYVQpDKpshzM0AoQ/Y014qDx/814rNpnEuzNMarvHFfHmplXEZZ1Jiu8VR1roePt5rB9Dyj3id8SClopAb3doIVC3EItl7Syfdxu0/DiohVo7y1hsEII1S8AeHnJKhQrPn5+zgkIGcPyzh4dojDXE+Xx0zFoY23xLAeddgNG+F167hgheLNpG6x1W7Bn19to4BW8umwNHn7tHVx99dWDHvcHRbYQzDaNvG9gDQAXX3wxVnQVsefUrfGbO+7FmJY8pjcRzOl1sLp5rCgSwDhGVjrQnmlFCCLczZLZzYMwIn0lAda0wBG5ycG4zo3W2ryKmanfmg0CDHa3aptJHFsoB2EoHmrTWgeimBcX8a53V63DlJHD9NfJsqKxhXxD71JzYTf/Dkb6A/dNCb61wLQ/kK4VEhhCMVti1mz7uZHCGcOwhhzu/vwn8bnD9saX/vBP/ObfT0WWpwLE2NyQOKAmvRtmFTIF0I4bWcDmyzyfNE+Jecw00UztGt9LwOaECLAuNIDKjlsgFMjmxDPU3QV4lcgaB4BSEXBcUV889IGeTpH+pdzvplUv5cjdZ8C2KA760a3o7CtjQKK8agp8HcEb+Nm//4sxrU3Yaeo2AAA/NNj11EjnkwDNgwQxjTGstZvQGPQhy0T3wBAEc5omo8fJY8/ed1GwhaX9vbsfxUUXX4KxY8cObMwfQFH0go15bUThuf+18r6CdUNDA666+qvo7ivjzaWr8OSsVzHG8bFLvow37JFY1joBsCw0eEVkmI/2fJsozxcjgEjt1uylnOqOYqBuRrjLVYs5tdDZjhEbDKI64YzrVp6KkcpKfRFJRldGc4TFLck0nDPAr4AHPuYsXoG5S1ZhxriRNfN0ky78D0TMtZ4lujlkQ633WudVLx5v/CZ5jQaUbpdmCtQcRw1GjRSbEvzPxw/DpYfvgy/94Z+486nZCV4CjRjV5m+TwK22VZ+rl7Kgk+NLm5tkaMisR6BitknGs5n2WFUZTZSdZZk8eK4guSPieWVZAeCgRMS5K2XodC7HBSxbxK97OgHPExkgEsxJJqtrHhDLArEdjG9rxf1fORvvtXfhxUXL4+OQmR80I9YB4qQXdOGc447nXscDc+bj5589DUtXtwMAJo1oSd9erkXqpUNmYYhVbgtGldsBy4IPilcatoFPbOxZXoysLeZw1nsr8MTcBbjyyitT979F/m/L+wrWAHDRRRehs9iHrUa24Xe33olS8xi0NDdg93wJC90RmNc6GWHIMLK0DqucFvEwqqIOMsULgLB6bSdaXM3FU6eXkCjH2halR7kituj8VBvEdqKGIKooQxiCZrIglqVj1WBcpGCowiyZrIixScLaW0tW4mM/+yNmjBuJ8w7cPX0CTNejLgNpsG8HAtyDAdNkCtgmskZj+99Ywlh/MpjzHwSBbtB8ghQ/Xn/u79jP1bac43unHIJP7bczLvjd3/DknLfi3h4lZgESTfYylT4GnXutFFhlOQPRe3M/JuiqvyqH2ywOZJ6z2pdWBAxLXr2yOXEcxkD9MkgQgGSy4L4nU7R84Q7P5sVfywK3RWiJNbSAZ3LglpU4H1UEiepwgO64Z1lobhTVDxsy6YVRWMUDzbhRWA2SuyIVoEtv+xcuuOkenDRzNxx/yEwsWrUOwwo5tORzVfecTiU1azLIFM4yp1jvNGJ00IVeO4/nC1Ngc4bdK0sE2Uxeq+/+7VFc8oXLMWrUqNTxflhkixt808j7Dtb5fB5fvfbbIITgX7Pm4r2Xn8f61m3QYoXYp/cd9DkFvDx6Z7T0daA914pAlRNQmmvga/c0N1ppKlFVhmLaM+OA40S1wtUDKkGSBz5YX0laLyGQzcfzKNVipGLoYaAXNyIt8f/MfhMHffv3aM5lcNcln0A+U00ui4km/Ujrx7SC6v0mze09WEZ3GqhuKMD295tNBd6D8QKkWpFDr0gMqs57wsKmlOA3Zx2HnSeMxg/+8Zhh0bIozVCnOalQjnG/JICjirENiN9XyvGVUYdTiABp26hSRq04EJvnp1K0FPHOtqPyqLIoiujXzUWcuq8nSsOqGHFl2xYV29ysiFV3rAEt9YKooiqKFKo8Wyp8pTM8onKhry1eCQDYYdyI+HkbgMwSGRpmYaV5y9dgZHMDbrnyAoAxeF4FlJKIqSznJQbUhkKj4t5rcsPR7PdivduEFwvbYFzQiV1Ki2GDa9Lq8wuW4bn57+HLX/5y9XX6kMlGp20lnKdbRMj7DtYA8JnPfAYBY2htLODHt/0dWb8IbmeQHTsOe5YWoSnswxvDp8MNPKzJtQn2petq65fL3GflqlMVhpRlxP0AZtWjGHCbrFoAihRG8zmwUkl0KfIqUW42pSB25G4DEE8powS/fvC/OOX//Rn7bbsVHr3qHIxtHUBxhlpu2g2JH6e5hjcGHPv73cbsf1NY2++H215KkpQ2aDFWKtuiuPCQPfDEmwuxYNU68bnnGRX3DCKYsjg5j4J+ZkETM34NRIqgJUHVLB1aL46dlval8p8150Naqm5W7Fft2/eA3m6gq0OMt9AA0tIGOK5o0GHWOAh8oFxC2N2NcOl7AtDXrxUEu5irXYaewhCsUgb3Krp5yZtLVmJiWzOacv2UHDWffwCgBA/NXYDnFyzDzy78BDKOjTnz5mP2wuVgunAMESG4IIwU+QRIE1sYCStzw0EIwVv5cdiptATbeOtitdkZY/janQ/i81/6MoYPH15/rFvk/6x8IMA6m83il9ffgCAMcddjz2LNw39F+5gdwHKNsPJ5TO9ZjCm9S1GxM1jUOF67l7iyioGom5DtgGSyIpVDiZFKQgiNmm+oCkUqX1s1EjCqoIlSgMLFxuSCwnxfgL4EbUXm4WGIx1+bjy/f/iA+d9he+MvnPtb/QqHEXPiGSgYIoAOqf70hFvam2Nb8Tb3XQIlyye0Go5hsEGu/DgkrIZwxnLTbNGRsC9c/+AyYV5GFgQwLOgm+6tx1qVEjnJKWmmWywm3HKGVKIg+POm91HH0uCWvd88CLPSL2nCtESgSRcWjl8bId6eq24/e9ItOxUDT3sCxYzS0iK6SnW/zGNZ4nqYRogimgW+Ii8NFT9tCaz2LAIq/LwrWduOCme3DwjG1w8l47oqurG/t8/n/wn1fewqn77SSeDcltqdWCk2REU5YOtwk9dh4etbFPcSFGhH1xvgHjuPGJWVjW3o2rrrpq4GP9AMsWN/imkQ8EWAPAySefjCOOPhb5TAY/uv9p5Cudojm9bOs3rtKOXbreQdnO4qURO6GEhFsbEIVLwkCnfpBMNmoRqNxzKm2rr6i126jVJY/STCxLLBIK3HMF0MbmKI0nDEV823FiVdN+cv9T2HnCKPzPxw6FRQfQ8lLdlQn26OaQ/jpEVX2/KWPPA933QI+fTC1KusnrgflgQwIbMh8DBO2c66Apl8XfXnwDPiGyYY1xbirVEIgsYgWQjMtYdxBZ12a1sGSMOTY+qsNCVW5ynblg1DqQf0kmK/KhlZuckKjphpsBMhmg0BiNE4gAWkmpT558AWhoitLTlAIiY9+aDCota/U8s3IZ3A9QLHvVtQ36mfO1Xb046Rd3YFghhz9efgYIOJ598139/ZeO/YgMlYWx0JgSQihINgMOYJXTglcatkGWedinuAB5VtHnyyVPYOn6Hnz9jv/ghj/fiYaGhrpj+7AIZ3xIXlskLh8YsAaA6667DpQQ/PnR57H8nXnghICNmQTqChJIm9eN4aUOMErxwqhdsLJlnNZs1YPDKxXxQKvuW5Ihqht3ZLIg2bxuaECzWc0mhWWBcwZW6os6dXEmFshKWfyvWMKqWIoRv35m3kI8/sZCfPHomaCS4V0T7PoDgLRqZe8TO7umpb05gHtj4+f19h37fCPnlESxzkER02qBtml5nXs8Onr7cNH1f4uPU1UtS9ahZiGgngMF0kEgq4UF0XhjpDDDUqeGi9k4t5i1reLXqqCJ70Ez1X1PuLXVWEp9oqSvzKfW7TQVQCdb3TJjn5yJOHauIM7FF88x973IqpUhKeK6kp8ivAMLVndgYltzfK7TQEA+w54X4PTr/46eiod7rjwHbU2NAIC167sBACt+fRXGNDcI93cdi9oDxeuFSXgrNw6UM8woLYMFxQwXXQXFGCkuu/kfOOW003HEEUek7u/DKFti1ptGPlBgPXr0aPzi17+BY1v4+nW3gIQhWCYXAbEfYLy3Dh51sH3nu1hYGIfXRu4AL5MTvaWV1VsqRbmpmcgNxhUxB4h19BEWAI0eekd+pzp1WRZ4pQJeKYM2NYO6LqyWZrE4uC78IMS9L7yO0395B/bbdgJO3H169ckNBmhqWYP9ySCBbbBx1YGA0JBUZNtASXXhm0BTBdBpYJ4y9/Xc5jX2l9aVqy6Q17L4KMGh22+DH516OO587jUsW9cRt3R1ISBFVjKsXsYSVrFJRFPxaVJNZjT/H4hnSNX5dl2RPeFVxEtZnqonNyEijq3GFAYREz1JjGPSgu4VQCnc6J7eRnFGVH0D7d2ybaGcc463VqzBtLHDB+bF4AxX//0xvLx4Je764qex9dhR4rl3M7j7vy9jp61Go7kQddcjCeWOEAqay2Gt04znmqaBAdi2bxlsHqKN9cUKNKkU0juffx2vLFqOn/70p/XHtkW2CD5gYA0AZ599NvbZZQf887H/4tnF7eCWA2vkaJ27OKy0HhYYGKHYp2Mu7MDDc8N2wMrccHDONclLdxwKQ2FNq4dLNRVQlrYi2ahFgzOtnWuyUKkkNOJSCay7S/Tc9jwoJuofn5qN0399F9oacrjz4k/AtlKs6f6kP2B+H0HQlP5i21VV4zZgf2m5zv3lPtc9XgJE41XtBqhEDVRpGiBHIP0YtUHl43tuD8eiuOf516JYNE3c0+YYSOL8lCXouNVEsiSZDIgAtRZ3QdX1VvvNF8S+VWtNpQxXytC53grYk2loioQGiG5alqVj2lGIKozag6pUMnlsYhtxdgBgHCvWd6O7VMGMsSP1Z7VkRWcPTvv9P/D7p17GT848DntvO1GkmmWy+MNDz+I/L8/DFcd9JP6jBJksyOXxRn4C5uYnYNviMuzU+Q5WZtowwe8QqWnq3pXzsqanD1/+wz347c23YtiwYTXH9mGULTHrTSMfDAQwhBCCP9z1D7iOjS987TuwutaADRsFVvFAKAFhHOOLa7CsMBoODzFj3duY0bUI83NjMbtxCnqIcIXpB5tL15l0kQEQn2VEK0s4TgTUMj9aEdAIpbrkqaoPziqeSBczOge98O4SZB0bT15zHtoa8tUnVcs6G2oAfp/u8Frg3C9pbYD7rvd+ML+rua+BxsDN7Tbi2vXr0TCqaClpzmdx6IxtcPdzr+k4bYzlXQuMaEo8WrnP07aNvbfi4G2+VOMb2xH9qC07/jvdG5pGwM2YKBvqe5GrGxD7CfzIQle9uInoZEfdjHhe1eeOEYd2Xeh8ckC7+eevkJ23RrUJRb2GEvTy4pU45Md/xCtLV+OGC07GeYfsBV2CFcBv7n0UJ+4xA6fstUN8ntR8OzaW///2zjtMbup6/58racr2de8djA2mt9j0YggBJ3QSSAJfQiih/YAECJCEDgmEntAhJBB6CYFAMB2MTbcxYMBgGwzYxnX7NOn+/pCudKXR7K5bAKP3eebZHY10VUaj955z3nNO/QCm1I2hgMn4Fe8zML+M9nQNTVYNA/NLvewUQyvCZHHa7f9ih003ZP/99489rm8zHEeukVeCML5xZA0wfPhw/viny/hg/kL++eY87GwNmaFDsDtcgcaAjiU0p2ppNasw0mn65JayfetH1Ds5pmWHM8vqS9HKBGIxX1QUNNcgn3MfAI4WQ/PU4n56l3KxVdcgMhlEOo1RU43Z0IjhbStLRfK2ZNMh/aivysTXj47GnuPi0WtKVNYNwo6S52qnG0XG7e6+K64bJ3iKGSfu/67WXWlESbozYo+Q/6pMUDq7NgdstSFTP57P50ub3AWOVts+SkYa4fiub32yGiXsqNrb8xr5UPvRY916nrMiX0PrzqUIXbfG1UPYH89w79n2NujocMdUFQbbWt3rYHjuc8MMvGUqxOWoPHPpErV3HbIeobeXisG10QigJZfnj/95mYlX3EX/nvW8eN6vOGzHLTGUkt22mfXJZ7w7fyE/mbBp6NJKLxukpaYnrzWMYV6mLxu1f8ZmzR+TddyCS59X9aVvsYm0jNRnsCz+/eYsnp7xIdff/++y7zhBgkr4RpI1uF25xgwbyG/OvxS5fBGy7yBSvXsii0VSToH+HUv4tKqf/0M0i3lGt3/B+MKntIk0LxsD+YKaoCk94BeRwBOkFQr+9lJ36TkSDNMXrKiHg0ilMaprvKEcPz72vdHDeOvTBbTn8qgcbx9Ra6wzi3otqsA7c1vr62hvOn+V76D8fXe262ycLrYtj0+H1/U/7+Q4KlrXEZIOXb9oelgXXpLQPoSgEoF35UX4qtVVSS9qakHqxKfOXVmnUhKq9AUBYVXyMeqTShXrFoY7kdVLi/rX0BtPfa5i5vp6cSKsaClg6UBLU7iSoFqumu2o9xCI0rymHigy94ukuNfsodfepaEqw7A+Pd3vTa/7DRz798e57L/TOG6P8Tz9+2MY1LsHQUlVdx/X/Pt5+tTXsPu4UcHh5gsUzTTvN4zkjbpR9Ck2MaFtNn1yy91yTZZFybD4Mt2DYQXPqvZErpgmKwpFTr7pfq687q/079+//PqsA0jc4GsH31iyNgyDB/4zmeaOHGfe+zz5xgEY1TWU2juQxRJD275kUVUvCmba7SELICXVHc1sWfycsaXFfGz25NXsMJbbVlC0QatYJr1e1uDGkkLFDXzVrPbw8R7Kbq/tIk5bK9K2Gb/+EIq2w1texSR3O+1hr6wQBb3pxqq6w1dCMd2d9Kwy0uty/zEE2h1S7ozsV0aR3d2JQGfLvVdZDLsLt3in7vPoOErAFa3bHRmvMwIXhsHC5jZ+98AzHL/nBLZaf1iwgmNreouI1apKcSrXshDxE0LpVF5ulzTLOJjshuLM6nwV9OXqmEqlMKEbhpvK5VnWQegqHfze1DGrGuGFnOcJM93xVB9v3c1t28xbuISbn57GyXt8j8bqrD8hVbqVz5c389g7H3PZz/bh0sN/RDabcQm1usY/ho8XLOYfz73G6ZN2Ipt2yxjbtsNndQOZ0mMcJWEyoflDRpWWYapJWNptkft5uhf1dgcNjtsFzG+Za6U46/ZH2Gj0KA4//PDY73tdQELWawffWLIGGDNmDGefeQaTn3wSu20FNPQgVV9LqbWNmkIHPfJNfJbq6RUp8awp00I4kv52M9vn59LbbuPN9CDeMAfQZFv+zF5UVbk/ckXiqiKZmgWD9qD1BGh+QQrDb3gvi0U2HjGIumyGqR/PD7uSow/p6MM9Li0r7rNO0JnbND7lqgtiWxnCDKXcrKRXYGUt7ui23R1/Fcfryl3fJWHHTcS09xWV651MvISAYb3qvf+NsHUdslZl4CK3LDe3WXkCIOyq1o9N/dVTs+KuoV5nPHxR4j0U0UmEinXrsW01rhrHNKHklhF22tsg55Uk1dOv1G/Tm5TIQgGnWOCUOx6ld101v9ptm+D3qLnCz3noORqrs/x4+y2CfafTrqvdO/6L/vkY/RpqOXKnLXCA+VYjU3psxIJMTzZpn8em7Z9SVcq5+pVC3rfqHQSfpXsxrLDMe04EHo7nZnzA/VOmc/M9DyHWRspjgnUa32iyBvjduedTXV3Fn/75GDJTjdWnL1ZtDbJYZGjLF3xeO4CSNLBbWt1iA6UiqsKZ6TiM6ljAjh2fUOfkeK16BG+b/WjF/XGL6pog7mWl3B+sXroRtFQYz7VYzKMU48pdaNgO264/hKkffx6sq/9V/3c1XezKquumxdclSZd1Q1oFwtS3W9Xtu0JUaBXdz0pUA/PX7wKromTvyoVevuFKrO8tH9BYx35bbchfJ0+jWHAtaZFKQ1UVVFW7VqoScnlWXKxgLJ3RXNX6dRUVu9XFporp7nA9Jq3c6fo6hulOGnQyFsIVmzU3BVa0miCAn7ctMhlX5JlOB0WLwH2vRGXFvJudAdz/6rs8OeMjrjj0+9Rm0+FLaZk8MfNjHnzrA644fBK1Wc/zkK32SqO6+3/n40+59+W3OWPSTiyr6csrdWP4LNOHDdq/YNvW2fQqtYbEcSKdcSfv0mFBqgcmDn1ka0DUQtBWLHH8jfdz8Z8uY/jw4fHf9ToCR8o18koQxjeerFOpFLff+xDX3voP3v30S5wBw3zLt0e+iepiO5/X9keYJnZ7R9Dgo1jEybslC618OxuUlrBDx8dkpM3U1BBm0oN2w6tupkoYqmpnEFgiyqrW0kJUgwKjqholsNlgYF8+W9pU/qDXrYrO2jSqdSulzChEHuzdEod15Zb+OtFJfnG31qv0mU70OqnHLYPwdegqXh83SYmzhiuFKXRxViVNQ8z3f9peE5i3eAV3PP1KYFUamuvYcYL/Y6+TUfn+89zRvtJbxb9tO2wRG2o9VWxF9ZKXYYV6tN622oci2I4215WtSFyllOmVzFJpSGfcSYnygAnD3ca23e29HvUAUz/6lGNvfoiDt9mIfTYdHdm1gSzZ/HvGR2w0uB8Hb7e5+xzJZMu+g7Nve4j9vj+RsT88lE+y/RiZW8T4lg/pV2xy49LqfE3T97Ah3XTSuZnejCguwVCueSEgneH8u/9D//79Of744+Ov/zoE6ayZV4Iw4hu5fsOwxRZbcPIpp3LMZbfw/In7YZqm22kLGNHyOe/3WI+hHV9hqvKhhbybJ10sInM5RCqFU8iTzWYZW1jACGcZHxu9mGIMoJ/TzgijjTrT1uJfhv+wkraNqKkL8kIzWc8V5/glSWWxSH1VmqaOSJP7aM7qWoIwDJ+wY63CuIdmV1APxjh0x5qNS72IUeWWLY8Z28+RN6lYOSrkHl0la1uzMg25UiWUyuL9kWMsm0gp13AlV3r0fvHW32RIf346YVNOuesJxo4axnabbehONGXgFpbprNsYo1gIW7nRuLT6TP+eo0VU9NQqvQ64KnGqjl/VFdAnA/44Md9XqehmY6gGImqCrMJMCoq41YRZicmUnsSbKEjp8Oaczznwin+w9YiB/PVne/v3UvT38NanC9hmgxGuGzqV8Y9bZquQJZunP/icvf/vOIYP7M+w4jIG5pdi4E1ihAiuiWW5Y2sNUhalGpAIBtot3mTQnVC99uEcbn5yCm/NeAdjdTITEnyn8a25c37/+9/T2rSC66fPw25rQ3oz21655WRLeeanergu8JL7EJGO47qnUik/L9VpbUUIg2wpz8bFhUzo+ARLlpgm+/CG3ZOlMoNUlorukvOFL96P05/V2y6RSEl9NkNTe4Ss1QOrM9LuKjbtuyrjCahT13f5yvhinK4ITZ17JQu1K3S2XaWxOiNq7b3+it1nzHpdvcqOIe74K718d2fURVwen/ZfFeK+ZWrz4MRBCP5y+D40VGV46T2vXrW6f5zI5MpKufescoerSai+X7VcpV6p/YQvuGdNO0FBE4j3DESJWv2GfNWQ47q3O9oC17eeSlksBpXPVKVBv6+857JW9c695js2ksv//SK7nH8jI/s0cvevDiKbskJE7XufbJt5S5sY3a+nd5wOCEEplWVeIcOLHXUsru7LR2+9ym65jxmcX1JO1N4EXU2Q1fctDcGcdB9GFJdi+KE0i7yUHHvt3Zzzh3MZM2YM3wVIJFKu5ovEDR7Ft8KyBqiqquLWf97HnhN3Z8BxB3PQ1htS/GoxRjbDiJb5zOqxHgPbFmEVChiAUV2FtEvuD9Zx3LaaKQu7tcWNZ9fUUGPBhsVFrGcs4zOrJzOMnmQdhxGilX6GO44wTTcHtLrGfTB3uDWJhZXyW3QKK0VDVYa2fJFCoUjKMsuJ0zCCWXl3UCn9q8vtumFZV7Js1xDKSDR6ON30cVUcR7PE1TpqzK72XTZGZJzuHEPo+B3plbd0KlxHs/x6q2PtRAEeCKM0qxcwTQMhBCVHBuSriNCx3eY3cZa8UlYr8Vkc1L6Uy1m3phVhlR9s6PhC/0fXLxaCFpcql9oPL2nHpOqKt7e579NaOpc6PmDeV8v4xfX3MfWjTzn1++M5e9KOpJX1HTpE73pKB9uRvgcuJ1J8SgOf52qpNWwWTH+Vo8//M8+e/Qss71L5Ew9F1NoEwE8LNAQLrUZsDAbJ5kCFn05z2V3/Jl1bt070qe4uKiUXrOwYCcL41pA1wA477MAP9pnEUdfdzTan/4whQwcibZs+pVY+LeX5vH4QI1q/dHvbtncgMmn3R2oY7v9eiz4jnfZ6YBcwqmtIW7Ces4wRopkvRB2zZR0fmXUMo5mBTitptJzs6hpoa0GWiq4i13tw9GtwO+Ys7sgzsM6rYqbuWK0rUcW7OKoMr/Rw1NDtdKtuurN9hfEqoNskWWHdbpNt1EL3iLBTYtfJslJ8G80i72K/wtH25UscOiH1sn1qBK5fb20MYRp+ZyZ3DPez+V8tY0lLO5sNH+i6gKtdj48o5AKBmba+XxhIRzRO7oDvri6V4p+Uca56xwGCSn5+LFndu7peo601+C5U7QLc7ZyWJtdaVROvots/Xv22hJo4eHFxKSX/eOFNTvv7o/SsqeKJ037K9usNcde1zPC+FRyJLaEqbZFL1zAz3Z+FRgO9RIEtUi1YTYs45MrrOXCbjdh61GCP3GVQPMYMT8D9WLUhkMLg41Rv1rOXYihvQjrN25/M54qHn+blV6aR0quureNQ1vHqjpEgjG8VWQP87W9/Y4MRQ7lyxjwurc5iVmUwa2oY1fY5MxrXZ3DHYlKy5Fq/aiPPheU/ALQYn9PehuG13zORDKWVIbSxiAyfiXpmmz3oJ9oYIlppFEWEGqdY8h/UAM/OmkddNk1NNu2qV3XLSD28KpFvlKgVQipcj0zWVMwrhrRWhqhXhpzX2HgVidZDt0g5umNvv1JfpwuCj9tnzLJK5xSywnXij1r7nsJYeq0mpeNw4aMvkLEstt18o3CTmlQa4dcJMJDqfhFCc3FramwIW7N6rN2/Jl1MGJWoDPBNUbWN7hHI51zVuiORuXYoeC0vvW2NdMbN4FAhJkDaBPF0R4Jwr2nBsfnFdffwwLSZ/HTCJvzpkD2oz6QDt7c63lBTE0kReGqFwTnnX8So4cMwnRbGp5ZSm3KP8w/3PUFTe47zD9wtHOs3DL+ed9n1MQRCGMy3GjEEDBTtfknUr5paOOSiG/ndH85jiy22qHwNEyToJr51ZF1bW8uL015n6802Yav+DRw8Zpjb4KPUSkOxjXkNQ1h/xdyg8pjKn1ZxbHDj2F43LSwLp7UVo67e+xHaiEyG/nae/vIrWs0sn4sq3pJ9ycgSQ0QLA4XtlycWhgWOZEV7jrGD+tFY7XXm0cVDOul2psjtgoh15elqoZtu76iLWV+2Svvrikx1rMy6Xa1XSfWtQ483AxhOPIGVjR3zXUTPN+rB8Cxrn7S1c/WvueGEr4EQ/OHBZ7lrygxu+38/o09jA9glhG2BIX1ydvfr+OEf3+qNxqQdO94CreT9KbNUncBbBJSlg3kCTL/4SSHvuumFEZybl5qFlAgbdyLtTxQ8T4vWmKdYsvnZ1Xfy5IyP+PvR+7P/VmPLRYmRCUazWcXn2d4sSPdgUW4+c996naMH2VipNJRMSNXw6fwvuPqxF/l/35/AkF6NoWshTCuYWOg6Du+7KmHwSao3GzpLvApmKYq2w2GX3sL4XXbnzDPPLL+W6zjWRIvLpDR4Ob51ZA0watQo7n3oEfb94T6sd9wBbDViEBiC0e1f8FrjGIZkl1CVbwPTfXhIL4VLJ22jusZN7ZISkU67bm1wZ8aa9V1LkTFVFuvby1jkZJhfqOGjdA/6087g4nIaii0YVorRA/rwn7dmIaWkrODBqsaftW0qKo5X1SLtdHfloq5ujdtVLHwN50SvNFZmohEl767Wi5tAqfKVOjTXuO9O91TuesMJ4ShSc5edc8+TXPmfl/nTET/iJ7ts61bzSoXziN3xNdez/78djj+XratZ2HaE1NVYEBCy+n1Ea44rF7rQ1isWArGYaYIlEFIGedOGcOPYhnAnMd75y2IpEPA5kmKpyP/95T6emP4hd//qIPbyUrMkTpiwhaBoWCxKNfBFtjdtZpZ+uWU8fPNfeeTFqbx6yYlYlhUIA0tFzrn1AXrUVHHqD7YLzlcnalX1UH1vmvB0bqo31bJIX3Jupy5h8Jsb7qXFyHLbbbeVPwu+A5CORK4m267u9usivpVkDTBx4kQuuOgSfnrJRTx/4oEMHNCH2mIbAwrLmF09iE2Z5z9kRDqNLBQQVW5vbGGaOIU8Rl09Mp9zZ++pjOuuA/cHms4GOaSOjZlKMdApMVC20lKUfG724G0xCDPtMMBpY9R6I1ne9l+WtHbQp07lX3vuUE2U4qfsxFkvlbohKegEHadg/l/f4FHLsTM3s0Ilr0BMytMaweq667t62PqK/0oWe9Tqiz/Pip2hDMEtT7/Olf95mT8fuR+/+uGuwTjpwA0u9PCObkXrlma0SI+yvNV9qVTtpSJglJ+7XzNchM9BL+ULgUtctcK0LLdwi9peFSJSudypFNhGaB8iZfnjlWybX97wAP964z3uPPYA9tpsA5DS9ZSZJhgSG8GSTCML0z1Ykm6gxs4xKLeEAYVlvDD9A25/4lnuPOlQhvTvi18EyUrxyvT3eWDqDK7/xb7UZjNhooaw10NdH29C0mFmmCca2IZFbi64aXH7Ey/y4CszeP2tt6mpqYm9JRIkWBV8a8ka4JRTTuHtt9/mZ397jMdPOZRsNsOo1i+Y0nMcy0v19Ci2AJ5ys6rKVYR7ZUaF6aaIiFTaI1ABNbUuYRcK7o+0uiZo6adKNJoWdZQYa7WxgWxjiZ1igZMhs/ku/OXaDWnqaVBbXEEVpbCbURiBaGgVxBPhhhsQdcn5/1ewbjsTj3Vb1BUl564mB3HjdkcI11mO9/8K3bWIVkqpr9bVXO2drm6wYHkTZ971OEfvuR2/mrRzcE9ZVjgurIvRFKKaB0XidsSSVgIuvce0dILjVO99C1abLNp2cD8ohbfjQHub6y1QRYdUu01ldSsluwpX6ZMYdXymyRdLl3PYFf/g9U8+545j9mfSFmP985LAcquGBZlefJVuJCVt+ueXsd6KL6lx3A59j745iyNueogtRw5i3603dK3/mlowDJxCnt/cfD+bDx/ITyds4u/T92Kp+1BZ06rIiTeR+cjoSX/RQYMpwUox9f2P+fWN9/L4k/9d56uUdYbuFGvszhgJwvian4irByEEN910E4X63px2z1MYPXqSKnQwMreIWVWDkF4+pA/puERsl9zZfdqdDbtVjIwgvpZOe8rWkluKUOWq6nmkuQ6MQo6+so05Uybzs5/9nH5tC2jO1DOlYUNerx3F/HQv8kYqTLSm5VkDFS59F/HC0IMEwoSpk6lOqCo+GnsNV1J9HS0+Eo0H669VtZQ7JXQRfsV9VmndTj9Ty1k5Al4VwZ+fO29UfnnX9ZonXyFlmZz38x+FJzPKMi4WvP7QTkDaeqU8ZcEWCy4JqupkyqpVx1EpnUuVk3JUnnQx+F51oZyqnGbbOMuX4nS0IzLZoEKY7jIXhledzOtRnc6474vaZEEYLFjezPfPv5EvljXx1OmHs//WGyGlpMmq5sPqQbzca1PeqRuJKR02b/mY7ZpnsV7HAp+oOwpFTv3nE+w6bj0m/+5ozFQK6ht81fydT03hrTmf86ef7OkWK9HDTTpRq0mFCiUIwVKzlsVGNeubrWCYfL5kOT+58Hr+ePmf2XnnnVf+nliHkPSzXjv4VlvW4OZfP/rY42y58Ybc8PBTHLPHBIbmvmJBphefpXszvLDEtSoLBdcdLh3XxWXb3gMj5T7IausDK0NP2VCxN+UyVBaMEH794hemf8DAhhr2HlqP7PiMPAYLzToWpnvwYdUg6u12+paa6VtqpsYpBNuvAvwOQnr1JCVLj4kRV7Kouy0UixN6VYonR+Po+j7ixEzdRWdFZWJzfzu5tp2V4uwKldbpauIV/VyJs3ToBXS8/1d05Lj5qamcsM9ONNZUBdZu1guz+MRsR/bllF+rODJWIrCoZav+10na9+R46mzsICZvKeGjBK96oMhmg99NWtvWs6yl4ZKfH7dvWeG123SPYdGKFn5w/g105As8efoR1A8ayqx0I4vTDdgY9C6sYGzLXHqVWl2LI0YYd9vzb7K4pZ3LD/8hVXV17sRBSrBMmto6+MNdj3HgNuOYsMHw2DRIvae97w1wHBzTYpbZi/WMVrKWQa5Y4scX/JW99pn0nSgnmuDrwbeerAEGDx7MQ489wR6778bGo4YxYeRANiws5M3MEPo7bWQL7QhP0CLS6cCyBlQVI986MQxXueq57qRdco0ux6alrYNawxOQZavcGbpjM3pAb25/ZgUl28YEMrLE0MJShhaWkhcWS9INfGXV80mmH1VOkb6lJvqUmqmnLUi36QoRlWuotKjq5RuBIuQ4VfdaQ6zrexXIs7vr6g/ZzioxdKbC7862q4LukrtO3v5xGkz58FPa8gUO33Vb9z6tqvHuuYjbW00y1X2gQjalYnn6VZlr3CmfSOleG1XhQtraMaoVtZxmIZDNK9w8dSV8ixQUUa5w6cV9hW0jrZRbGhW8yYfNtI8+5cgbHmSjcZty8mEH8GldX0xp07fYxEatn9Kj0BwcQjRnXLsmT8ycze4br8/I4YPdZSoDxLA585b7aM3lufCQieVEraxp3WXvi8oM5lk9ERKGWnmklJxw9d8xM1XccPOt30lBWRRJnvXawTpB1gDbbbcdV11zLYf+5lReuvx0hjkd9HNamZXqy+bmIkSpCEIGD45chy8ywTLcB0U66wttZn8wm4sefJqHps5gYK8GetXX8tbHn1GTSbPBoD6MHTKAH+6wNe988il/uu+/FG2bpa3t9Guoc59r3m87i8Pg4nIGF5dTwmBpqo6vrHreqh6BKR16F5vpVWiiZ7GFlFyJCmdRVKir3RV8FfLaxJr44a2K5RutqhVH7P4yjSwrlTrsznWKq8OuW6axqnEjvC6AEFz/5MtsOKQ/w/v1CvKPhQjqB9glv+xtiGCFLipzwI5PIfNFZFGrW/emRPKVyyaFSkjm6zy8SbBl4TcCyWRCxCf8uuTS/V1KB2mlaStKlhh1vG4Vufyav1Bt5+hrt9C36SPqnA73vGNqD/geMAWvdvg7ny3k+O9vH7jXUymQDpPfeJe/PfUK1/7fDxnap6c2ntbSMjS2F5YwTNqkxRxZx5apFRgCrn34GZ575yPemDGTTCZDgsAps7pjJAhjnSFrgF/+8pdMm/wYh1x4Pc+eexwbWEuYkhrGAqOOgVaL5ub2Hp6lIhQEVNe5QjK7BKk0pY4S+1x0E7YjOWv/XWlpz/HF8hb+b6ctacnl+fCLr3h77hfc9cIbAGw8tD+3H/9j+vWoxy8/qYo6KAgDC+hXbKJfqQUHWG7WsNio4ZPqAcw0RlBfaqdnsZlexWYanI5yQUFnRSqkl+YDQfpLJ3Fq/bP/CWHHH0jX66ytxgdra9yuRHVx6vjo5wa89O5snnlnNnef8QuEabj3btNy1zOUzgaub1sLzejxVtXsIuS5McP7gbBCPa4sqo3rZfIV305AYLYNTjHIelAleZVlr9zOXstZPxdcGAjbplAostSqY6ltsaRkUEwZWK3LeXnaa4xu/pQd1+vvrR8TBqnUJ947b+k4WKbptlqU0vNISD5ZsJhfXfsPdt1oFEfusg3+xEwRsqU9EpUi3CNvKQzeoyeDjBw9jBLPvj2Lc+94mGdfeJEBAwaQIMHaxDpF1gDX33k/u2y7Bcfe+gh3nPBjxjpLed/oRS+rSIac+/BRrjvTK/vY3hKkwdg2T8/8hM+WrGDKhSew+YiBFYuDzJj3Bf98+W0mbDCcDQf3ddPC1I9eCpc8peqGRUh4ZQiDXnYbvew2ZO5Lclgss2pYmqpnRnYkDgY9Sq30KrXQq9hCtZN3XWzR5iBx6MLKXi13eGeK7e6Mu7bFW2ty+yjirObVhZ6ypUjThpuemsq44YP40XZbeHHpokt+qTR+Qw0lGFPXVHWtslK4NzqRHOmIda8TXkk7N//eiVjROlEbwt1FVMDpuJMNv/RpKu16A2wb20yxwjZZVhQsKWVpkSZ1jk0v2c7GTiuNxVY+XLCARx99lB/13x/o3/X9ohO5d67ScZi/tIlFTa2MHNDHJVrH5sYnXubsux6jf0Md1x99QPB78q6DX6ksYk0ry30+tXSUTLawmpm7cAk/u+RG/nLDjWy77badH+N3DGuiH3XSz7oc6xxZp9NpHv7vs2y54QZc8d9pnLbXBBYaNbxPI5ulV7g1lNUPUdUpFsItMpGtBulQm3F/tLliKWRx+hapI5HYbDKkP5sc9oPQZ1I6CMd1p0lscAzvGVxO2O6GBsK0qJIOA0tNDCw1IVttWs0qlqbqWZxuYHbVQCxp01hqo9Fuo7HURp3dgRHXEnMVi4l0aV2rcf2iF11YkP6y1YzhRWPJnRFwV3nqaxorU5imEnSiNk1wBI7j8NzM2fzyBzsGlchSqXDPZ0dq7m8jaCojpFudzxtbqAYeulBKmAG5KbIyTNd9HndOyhsVCiPI8O9IrednITgUrAwriiYrHIvljkWTbZIWkl5GkeFGG73IkREO5PNQdBXcGw7ux04bjuTeqe/w423HVb5u6rvWi8BoeHTGR2RSFvtstSGt7e0ce+ODPDh1Bkfvti0XHboXNWmPmE0ziE9DPFEbJu3C4qNCDZulW8nlchx03nX87MijOOKII7rxJX+3kMSs1w7WObIG6Nu3L/966hl2nDCecSOHsMuGaaYYg/iSagYJpcY23OINqmtROuO5wTNMGLc+Q3o38qdHnuPh048oF410UldbkbYibIQMxbBjyc5bpi+qszuoszsYnluEjaDZqmZFqo5lqTrmZPohhaCh1O6Td0OpnZThuS11i6mbPZ5F9MHbGVYmD7q7Cu44VKqZXglrgqiFF7NeGe9DtzwKMcdmREgUwDCYu6SJpS1tTNho/SAmrFzehUKQY63nJTsSaZeCh5wQCGkgwRV8+TnCHtQkVYVWTNMVWYLnmYmIzIQR9JSWTuCVciTYJaRhkMNiuahhuahiRSlDa9GgRjg0GiUGm3nGmXmqnSLC9mLIKlau53ebJoWSzQvvz8GxHQzVKzt6H+kZGxGiFoZBa76I40gO+ONtfL6smcVNLfzzpJ+w79buBED4ZVIjud9+PrXhp5lJw2RmsZ6BZoGe5Dj08tvoN3Qkl19+eRdf+ncTayL1KkndKsc6SdYAW2yxBTff/jeOOPooXrz8N4zrX8UMuxc9UnmqC234Lj69yUYq46pUM1muOvHnHPCHa3jw1ZkcOGFTf1wR1/KQgKyj7ROBIIYNYfWFT5DhB7kwDDC8jl6Og4mkR6mNHk4H5L9CCkGrkWWFVcMKs5ovq3qSN1LU2h00OB3U2x3UU6C2lAvi3nGucX1Zd2p1h2owrwRh+ydWQc1doR1kLPl2JtSK3Wd3jzGas11hu7WpfPEs4Mb6OgBa815udCbrhmna3faubmaDd795RO0PoUhIzwQwtdQqywo8OzrhqW2kpzS3CQjSSgWWtbdOwRE0k6GZNE2pDE1kKAiTeoo0Gg7rWTkaKZAxcEnZS+vyjwOC1K7IvTT1o08B1xVqxAnKos1CFLR76ScTNmFFe56vmtvoV1/LWfvtyphBff10Rnf9GKLWO+SZFhgmc4tZitJgg1QTf7z7P0yf8zlvvPOeW7Y0QYL/Edbpu+0nP/kJ06dP56ALrufpP/6agTVZZtoNbG0VMeySV5/YewjZtqsKN0yEbbPXjt9jp02f4qbJUznwe5uErSBluOox7Aok7lcQw+t57GgWkRLw+JawGQiChIGwPPemXuDCU9PW2R3UOTmGsBSkpEOkaErV0mJVszDVyEdmFTaCOifvkrfTQb2do9bJhYVrURLuzLoO1WA24slXoRstPv1ziiL6EO7K5R5HoJXItrveg0rojPxX5jg6QY96t91qU7tW/1vFVesbvBrcXvtIYeDYeYRhoPori6hiu5h3XbppT62sLFmdNBVhqj7ZWk/qgmHS7GRolmmaRYYmI0tOWFTJIg0yT6PMMzSVp8FyRV1+85BS0SN9Le9bfabEaqHOX25nsdEDerP1iEFYVmRCrY6rzNNlBF4C794Z1qcnf/zp3t7nwr93uyRqRdZeT+omx+KTUhXbpJv415S3uOL+J5ky7VV69+690t/rdwVJBbO1g3WarAEuvvhi5s2bx16//TOPXXo6y6uH8LFTy2hWBOIcVfFJOmBayHQGaZgcvuf2HPmnW/h0yXKG9e0ZDBotGwnheF0cTBMhhesWl5E4n+oOJgyk0JZ7D16pCrNEoXkFqmSRqsJy+hdXIEwLCXSYaZqMKpqNLAusRj7MZJEIap08tU6OGjvv/k+eKidoKVqxy1Z3iTp0jbTj7MolXik+3VVseGUIcW2611ZXcCYlCDBME9MwmLNgcUBEpaKvqvZzqIUBhuO2ZLVtXxchpQhynUsl10VezEOx4MawrVS5qM2R2Di0kaZVWLSaFq0iTavI0CFSVBlF6mWBevIMKTVR17GClCkQ2WqP4CyXmB0tjUwXQ2qT0KASmgzrRoCHXp3JRwuWcOVhe7nrK4LuLMThq8wjDW90hEqGqkm3Gf5fxe695UUMZhRqWM9q57lpr/PLy2/h3vsfZJNNNlm57/U7BinXQCOPhK3LsM6TtWma3HXXXRx22GHsffqlPHjZOcyuGkIP2UEfWQAzFa7kJCXCcZB1WbJereM5i1cEZB0tWekj8pCIpG35fw0n6KgEgQvcE60JU7PAvW2E6cYedcVrQGQxsTxAGIJqWaTaLjLAbvbGh3aRpsXM0mpkaDKr+SLVgw4jjYFDrVOg1slR6+SpkS6RZ3EQ0UmIdChLRe6KqCr9+DqzwKMx685c0KtClKHz6iQc0FXcvxOPSrfW1SEdwOT4fXfjsnsep0ddDafsP9GrA+CV5Wxt9rrDlUDiT/KEF98VSoimhiwV3cp3Nm45UNOi3UnRikfIpGk1UrTj9nSvpUCtLNBT5hgmW6mTOdK4E1qnrRWEwFBleVUsXDUSiRYp8XO0nTBhQ7iuuIfjb7wfgJ03GlU+jhceCiGOoPVQifJIxBG1XkBGI2mVpvVurooaYTP91Vc46rKbuee+B9hnn306//4SJFhLWOfJGsCyLJ+wDzzzUm67+Cxm1gxk2/ynpAslUlkvj9RKeW38Uhgty3nwxdcZO6Q/2204Khwvg5AgCCi3CpXiNgpF2JhuvDHSFEOpsmVE4CO8Uoz+iJ1YG27VNSvk9nP7EkGNk6PGyYXWd4RJm5mh1XBfy8xq5hs9aBdpDCTVsuASv+P+rfL+ZkUpmKKsTFrT2kjfWpUY+sqiqx7bq9sCVFM4X3rUQVSl05x1832k0ymO32fnoKY3hDtkqRQu7fsuIWg3M7Snqmi3DNpJ0W6k6TAy5ISFifQmZAUanTYGU6TWKJEVEhG9lk7QfMaoqw+WK+tdhZGAcL1xL99bxcl1r5FqnqPt54WZs2lqz3H4Dpt7Y2i/uVj9gkbUOkFHPDEholaErK4flBE1hsGn+RTNjsniN5/nGI+oJ02aFPtVJghDroHUrcSyLsd3gqwhTNj/d8b5XH3pBUwu1nH4scfzzAUnsNWYke6DRv2ApUNjVYZsyiKdTocVq7qKVqFSCck4gYxHccIEv8mGRtpS78akC9C8NBNZLHZNYp51Lo2uC54YSOpknrqiRuKGwEbQIVJ0GBnahfuwX2TU0mGl6RBu6kuVLFItC1TJEhlZJCtLZCmRlUUysoQVJebOrhl0Li77JiHOQu6O8j7a+AQi18StGCYMg3OP2I8vlq7g6vuf5Li9d8LwLFgJFDDJGylyVhU5U5CzBDksOkSKdpGmIEwsaVNtFv3JVg/ZQlVxGdXCJiNLbrlPlbKXyXrHJkDXX+g52Yrk/PeRCaxO8qryWbYqmFBAuEyqt257ocif//Ucf3r4GXbdaCR/PHSvMotZb4ajfnsqRq+tFB476vr2JuJBnDpC4F4p1OUFwcfFKha9+TwnXXZTQtQriaSf9drBd4asIUzYJ//uQs4667cce+yx7HDGFTx76SmMHzfafRB4VnZ1NsOytg53Y73sol/BKfLgCT2sNBGNgq48dwdyyytHikyVFS3RhTHg5tyCS9pqXP84yhXf0nA6F1ZVcP2aSGqNArV2ofxjIK+ReM5I0WZkWCpqyGORExaOMLCkrRF4iYwskcYmLSRpaZPGJoVNGi9mvkpdrLpwkXfnfP0Tk/g+/lXMWe8UnUycbGFQcKAgLAolg6Jh8dMfH4wx4E3+u0jSq2cvctIgh4lEkHJssthkKZERNjWU6G0UqTZaqS52kLIL4WtqFwORoGG69xVmUMDES8MCAgW52l4XrelpX7pAE9x0SHA/z2TD3b10oRmu9fTIa+9yxt8fZdGKFk7dewfO3ncXUpbZve80ei0VMUOZKj5E1NFYtZZjnSs6TM/XM++NFznj8hu45777E6JeR5HP59l2222ZMWMGb7/9Nptttpn/2TvvvMPxxx/P66+/Tp8+fTjxxBM5/fTTv76D5TtG1hAQ9iHbbcFFF1/CGef8nkmTJrHrmVfy24O/z++O2B8hHaa+/zE3Pv4CP955ay+eTRCWVj/uVCpMgLEPD+9/XcUaJW3V0F5tVklZrj7X9w9+jq0vw9TrQqt1O5upqhKphlO+XgXXrykM1zUuSuB0gAyfuxSCIgY5YZHDIi9cAu8QKZpElgImRcOkgIntqqJI4bhEjkPKI3ILN3XNQmLhYEnb+196nznucmGEk69WNmbsyHDBrqhCvhJU+MJ7lTAoYVJCeP8blBDYGJREeHkBgwImBemKmWxpAOo6SNKOQ32f/gwf2J/np73OSZN2dD0Y3sTHVLW3pePVuPd+zrYNOGHCLeb9NC9hZdx7x9ZCODJwpWOYXs2BFL6VHXKLawStlzZV4rdUOljfE7j5MWuP5D/68itOvf0RnnlnNntttgH/OeMIRvXrFd6P9r/L3V4tA51gI9+RUJaydIJ4dDQlS8EndHfbku0wPV/He69N4dwr/poQ9Sri22JZn3766QwcOJAZM2aEljc3N7PHHnuw++67c8MNNzBz5kyOPPJIGhsbOfroo9f6cVXCd46swSXse6e8xSHbbsylF57Pb8+9gIULF3LJfU8y89Mvuft3v+Lzr5ZRKJU4dtKuwY9at4Ar5Scry8VPc/IedlHS1mPfelUpRdpRSzjaRxqC9oJmsExGegKHaobry3RIx1WodxOxD8voOlK6xCtt6slHPgzvy0ZQMCyKmBSE6VqWmBQ1UisJRXhGiPBs/YEuJQYSgfvXAO+v9jJkNKPavQTeMG8bfcs+dxDay30v1XsjWK7OS0hvYoEMJhP6hAOHalmkEZuUkKRx3JcBKSXoE4bvql1cW+RHl97CjoNr2XvbTd3vM+fdjEqJrap5qXQoRbrgW7Zukwrc9QpeDnc67ZJysRiQvbKk1b2iyE/PArBtN2/adLURpNIuMavPC7nguzZNt5ypEJRKJS68fzJXPPo8g3s18MApP+UHm2/grduZzsFApMyy34C7CyNYps7ZTAVjKqLW49t6vNq7JDMLNUyZNo1LrrwuIerVgKqVs7pjrE088cQTPPXUUzz44IM88cQToc/uuusuCoUCt912G+l0mo022ojp06dzxRVXJGT9dcCyLO59dSaHbLsxF537O8459wJ+f975PPbqO2z4f2dx1cmHAzB9znw2HzW4fFYehXqYGdpf0P731OaVckWhnLTVQ1sn8Oh7VXhFeJXT/AIY2v5XJvVpdaqYdVfkFYn3m0iqsKlyvFi82n0oHhmzf2+x7ZG3I8x4QlUvoRErhI7BEQbLqKKvyGFoOxOAIR2f7CtOBBx3HUutFxeb1iHUOWhxa0lsGGDiVuOYuOVGHPfnW5l2wwUM7FHvkqNyKyuLVXiqZqndp1K6JGqYPmm7ufuuN8UvTIK2byVY82tla0St52anUoE4K5UJ9tfWCtU1bmWz2npESxM4Dh2FIvtfeisvvT+HM3+0E6ftvQNZVfZTfadx1yquDkBc3rQi6igp6zHqkHs/uE4fFat4csrrXH7VtQlRf4PQ3Nwcep/JZFa7u9miRYv45S9/ySOPPEJ1dXXZ51OnTmXHHXd0tUoe9txzT/74xz+yfPlyevTosVr7X1V8w1U8axeKsMf1beT8P/yO8875Lb1792b+4mUccM6VAO7DRBcChWLOGvT0LPXXf5Bo4hxlMcWlofhjiWCb6PjKvReT/yz0dSptq7/X0R2CVutExUf6/7oaV/1fphTXwgHqpVJ/FHmons36GDHjCcBCksWmmhK1FN0qWhToQZ5e5OhDB/1oZ4BsY5BsZYho817t/msQbQAMoo0h2mswbQwUHfSnnb4iTx9RoJco0kMUaRAl6ihSQ4kqwyHjuez9u0O/B+IQmoxEU/ACvYNAcutvjiJlWex9+p/4ZOGSIAarK5ml4zbOUH2v/frf2vcu3Nx9kbI8lbYIvgNVgMdKBWlZloXqQx0qGiK1kInX190/h+oanOp6nNpGREebP0l95p2PeP7dj/nNpB05e79dw0Stn7c+GdXubf9lmmHxmDpG9ZvS1d6KqPXfjGGGiPqzYob7Xn6Ly6+6JiHqNQDlBl/dF8CQIUNoaGjwX5dccsnqHZuUHHHEERx77LFstdVWsessXLiQfv36hZap9wsXLlyt/a8OvtNkDS5h3zPlbUb0rOf//eZMfv3rX9PY0ADAz3cfz3bj1nd/7FYqIFd/lm6GCbzSCwIC9oUu6qFihWf7OvwxIhMAP+YdCGpCf72Hmf6w65Sw1bLuqJk7I2wdMa72YAw7XDwjer6h/Tnlr5WBfh3066GOqdKEIorOvBLqFbeP7kKdt2quAYFrG+jTo4EnLv01HfkCZ918rxdX9q6j7/q1cNJZt190Pud+XtIEY5bmGhbB2KH7TLdK9fvV0iat/u9BBPUJvPayVNXgVLkV2IRjuxa3l7pleyGaIb0aurgWmlDMI+gQVIMSRdLqmNS2Kn/asiK51Iq0g+9noZ3hby9O56qrrk6Ieg1BNfJY3RfA/PnzaWpq8l+//e1vY/d55plnIoTo9PXBBx9w7bXX0tLSUnGcbzK+s25wHZZl8fhrM9hss8248sorOfW007j44ovJF0sM7e25PFS3I52wQUv1qiRcirgY1Xs9DqgQJQyt5GOZ4tsfTwRqW1UlDUJ520FamBEmJt1FHio3KYLiLNpY/mGqdB+f3J3wWNGx1RhGF4QY1/4zel1VxTko90zEuVGj5VS7aB+6WuhOCCB2O93Nq40RqtstGD10IHt9b1Oef3tWsK4iy1QaaaUwSoWgIQcEFroqTl9pX3EV8tQ5qXu8WAjuRT3HWghkqsp7r4VhhPebKRYolmz+9OjzrN+/F4dtv1l4/Oguo+GmSD52Wfw5up5O0CJmWw9LZJobn5/O1Vdfzb0JUa8xuHPq1Qs6q594fX099fX1Xa5/2mmnddkBbeTIkTz77LNMnTq1zJW+1VZbcdhhh3HHHXfQv39/Fi1aFPpcve/fv3/3T2INIyFrD5ZlMX36dLbadBNuueUWzjrrLC688EKOev9jth832l3JMMPpJ5WqmekEU6nZgBCE4pWWFbiBo6UgodyiVA9y0xMXRatDGcqFqkRGKn/bDNatZE16ymi9oEr0cz0XXDhGORFLjcCj1jgE5xgb+67wQ48STRw5/i+Ko1RCpZKq6rMo/PxkGf+5v21wPsua2+jTw3t4GaZb99srGiJKRa8JR8kjyWI4xhwlQf3+Uha0OtbouiqG7ThuWqJnoUpvG2mmEI7tlsbFtapFqeiK0ITBZQ89yTvzvuTZ3/2SdCpNGaLpid6yslx0vTNW9Fwsz0sltN9PaJ2A5JfaFn95dgZXXXU1992fEPW3HX369KFPnz5drnfNNddw4YUX+u+//PJL9txzT+69916/L/n48eM5++yzKRaLpLyMm8mTJ7PBBht8bfFqSNzgIViWxRsz3qFfv37ceuutXHDBBTz+ytuBC1s9KKLu6Sii7tzoeyPyANLXU4pc9UDyi1FY4Vh3tG62aUb2qZGZJsbxU1u6ILRQrndcuVFN8ql6fMcKzipBJ+6uXNGVdAJx61eKx3dXotpdt3glREMf3VlXX8/3psRMYAyDz75awtC+vYJjTWchU+WSpGO77u983v1bKoWqm/njQHgSaZpuTrSK80bvOSsFmSwyU4X03NxOpgonU400U8h0FqQTELUSSHr7WrC8iT//6zlO+v4Etho1NHxenhcnZE1HQwk6UasQTyj84Lm8VR61fv1CMXADKQRf2WmufXYGV12dEPXawJp0g69pDB06lHHjxvmv0aNdQ2zUqFEMHjwYgEMPPZR0Os0vfvEL3nvvPe69916uvvpqTj311LVyTN1FQtYRWJbFK6+8Qv/+/bnmmmsYu/uP6Ch4altVc1knQtOKmcFHSD3OEo8SdoiIVSzc+189vPQHafSlxiibJETi2p2plHWXuFdZTerL4v4SWOCxrlSN0P2x1HHEkWh3ibKSCK0rrIwLfGUJWxfM6YTdFWmHji+qLRCh4yiUbCx1H2oiKVEqBZXCSkWcXC5yzTWRWDoTKq0buldVzFy5z72XVPuKaB6EYwdNRtRY0nGPp5inVCpx0vX3krEsfj1pZ+9Ygti+0CeU6jP/pAzKiFpfria3Vsr9HcoK95EXe5dCMK+Q5uKHnueaq67mvsT1vVawJgVmXwcaGhp46qmnmDt3LltuuSWnnXYav//977/WtC1I3OCxsCyLKVOmcMYZZ3Dq6WfyxamncPi26zMwCzJT5SpcdWI0TZBGuavatDyXN+GHr/95hXh3Wdwysl5cjFjlUhuERUqm6ca1te2FkOWNROLizXr7zuj+/P3KcElTPc+ciIWubVNxWdQ9HhevL9tW9wJoy7tSvXeHuLtMe4tYrJWOcWVQ5nExkJ7HZcSAvsz90lOkKq2ClQosaLuE09ri30O+JyXOfRx1LQOkLU8s5sb0pGWF49De8SjIVBrHDFTdVnuLf2xfLV3BsVfdwVMzPuK+Uw6jsa46nGqloO6ZuNiyfty6S1zPrNCFh76mJFCCS+Gm9r3VbHLRX2/lrTde46mnn2b77bev8AUk+K5g+PDhsVb8JptswksvvfQ1HFFlJGRdAaZpcvnll7P55ptz1FFHMe/ggzjmoEmMqy6QVqkqoD1AiI9Z+kIw730cealYuI44d6XvIlUWlS6u0chXJ2xdpKS2tyzXIlKxZ+XCVtZIHDEZgmjoOiRKM2OEZxF0VaM8FqGKbDLeS6FDP9+uiHZNiM3WpLsuTt/gQUiJFIIRA/vx6vsfu9as2neouYf3k3a878Kygkp7agJmRVzgInKPmZZL0jopC+HedyIVIkFpWBi2m/JlFDrc34Vt85+pb3HctXchHcl9pxzGXluMLS+mo4dwIBRTdt9rJB0ib424K5C0NE3/mi1z0jz/RTsXXfon0sLh7RkzGTJkSDe+kASrgm9LBbNvGxKy7gKHHXYYY8aMYe+99mTe3Ln8vxNPYPPGFP1ocWNzaJavy5LBxnFCs0qe1bLUqhjBWqXGF1IjW9X4Q9UmV+soMZpybxomGK77tMzKVsejYtHdIDSfqCPLuo3O9hFHiF01Ugmt24noTH8odFLzplvoyqLWJ01xk7CQ+jtiZXptXDccNpDPv1rKwmVN9FdCMzUpKxbcWLXpFtaRpaKb8y1lOG1LF5upe9gP65hIr1yo8CYB0jTdimA6aZaKOFV1YLhZA2auzXWXC4OL7nyIi+7+D9/fbAOuP2p/+vWoi696p49Xdi09olZaEf8a6rHtyDXS1xUGReDjfIbn3p/HJZdcyh577sktt9xCVVVV/D4TrBE4rH7XLaesClKCJGbdDWy55ZbMmPkebcuXcsZvf8vznzbxpt2DNserNqbqcqsZv+6uiz6MOiuIosfDowIa360Xye32S0Nq+1YxQf+9NhFQwiH1sixf4OMLfaK52QqVCE+VOvVipOrVbfKuRNRdxaErKq+Nyse6ttAd17dy13ZiQQPhmLHKYfbOdfdtNkUIweQ3ZgbEpTwzebfEpwhV6RJugZMolABM3Tde/Fqmsy5ROzYylXHV3oabzyxU6qJhYFfXY6eqsM00+dreONkapBCcfOVtXHT3fzj34D148Nc/p3/PBjcnOnrfKld23G9BaTNS6bDVHdV3hH4Hpm/tO8Lky4LFy6013P/0y5xzzu8448wzufPOOxOiTvCtRWJZdxP9+vXjlTenc/LJJ/PrX/+ai885neXrb8TQdJFRNGFJB9dUVQ9tI2wlx+ULexYQUPlBrj4DzcUZ+jA8ZpmVLb24daSIiaVVj/LTyVySEE6kn7bfqUlzhVeKYWvwe3Nr66n/Q0QeF0fWY9idubMV4VSKW/vrRY41Lk1oVbCq8eky961RbmFLT9hoO55bW9C7oY7BfXry0ZeLvclXWJAlZdEtJyoEoq4+sKR174J0PO8LntXtWr3SS6kSXj61oOi5vw1wbDc+bbkv23KLrziGSablK2RHK6f/5U5ufvJlbjj6AA5XDXDUNYre13rsWtXO19twhrwmEWs6+plH0gDNjsUHuQytRcmD/7ydh596lkf+9S/22GOPVfueEqw0Ejf42kFC1iuBdDrN9ddfz2ZjR3PKGb/l7F/9H3U7787LshejzVYGGHnP3ScCYZdehlEhqtj20nIqIuo+DblQvb/qwavWU4wVrVWuGouUiuFOTV4M21X2eoStE74uAuosth2DKGFDvNvcPY4YVbC/kbZPfQIUjWNXmvRUGqvLE6iwXneIutJxVPKsRD/T3f2OjSjBeoP68crMj5BSIpRa3GuiIYSBUGlYhYLrCvd7OBP2vkjHvUdtG1JmWNltGK4CXHh/TRPHTOGksjjCxLQLWG0rkFaKfNNyjrr4eh6Z8hZXH7kvh+/2veD6xJF09LvVm5HEpUTGpToqF7pH1Hlp8kk+zZdFi4ZSM5f/8UoWLl3O62++zXrrrVfx60mw5rEmUq/WVurWtxmJG3wVcMxJp/DU089w9d/u4fZbbmKomWO2XcsrxR4sKppuK0K9SElXubdx7vK4HNxKD/ho/rfuGtfd56o+sl4mUv0oFHGn06i8VWGa6LWY3f1FXP2VEJkZ68RcqYRkxU5mOkKq9U7W0xXCcaGFzo6/OznZq6v47g58d7HW+rJY4KR9d+eV92ZzxQNPBQ816eB32/LWVQ07nPY2ZD6vWfPqOpuBK1oRtZVCmiaOlXZzqA0TaVmemMwldMMpYnU0I+wScz/5hIknX8iTr73DPaf+jKP33C6YrKq0RvWKhlhUiMdXd2tErYeLykJJgYisIExm57O83FpNHpO6li84/OQzqOvRk9emz0yIOsE6g4SsVxHbbbcdb86YybsfzeHIsy5glL2YwRmH90t1TCs0sKRklrtyunrAVyL0aKwv7qUEZDppm2Y4LugXldDcjcoq8612Lw9X76ikFVTxyVuhizriukVdkaDjekdXIljflavlM8dNdnR0JXSLnkNcDfGVRVwsdlVqm6vtNHx/m4055cA9OefW+znw3OvoaO+AbLV7vQsFpG0H4YZMBqOxh+sST3kTslTafaUzXuET756wUq472YtRKwIVUiJs28sgsLFyrZBr467Hn2H80WfT1NLK0+f9ih9uu0kwudDr00dJWo9f+xNL7buNi+Hrx2i6vdDnFDK81FJDk2OxWW+Lue++xQ+PPZ0jfnksjzwxmbq6upW/1glWG9KROKv5Stzg5Ujc4KuBwYMH8/Jb7/CLAyex4zFncfclp7P9+iOY32Yzo1BHnW0zyuqgp1HSGzOGY4dRFXhcGldXVqweu4zL+Rba+LrL3XFw03Fk2F1vmoD3cCx5RUdKWp9sQGCWubZDiORaxxJ1dxFHxFEXeKX1/PU1KzvqAl+VFK5KKWRxKu9KqPR5VzXPHYeLjzqIHTbegB9f+Fcuf3Ayv/vx972StY7rBk+lvXi0VixEeD93JS5Urm7v2kgrE8SZHa8imfdeprNu3fF8O00trZxyxa3c+9w0frrTllxx5H7U1dYGXpc46OEL/Tx1a9pPBdRV8WHxWEnC54UMcwtpqk3YuIdBfXWGS266k7/+8yH+cedd7Lvvvp1f9wRrFUnMeu0gIevVRFVVFXc9NpmrrrqKvU88iyt+cyyH7bkDg4pF5rc6zCjUUiUchls5+pmFgBOklz6llL+hVB3N9RcXu4kK1soekE65eE3PB9fKLwafa8dScvwHJJblErkwvNzewJUqVPxbnVKUvGMIcKVzrSum9nRyffz9VxA1xcHLFS/fT1cTpQqk3RlRd8e6Lou7R0R2UrLXtptwykF78ef7nuDQnbdmVM86RDoTNNnQJ4A6+XkZAtJ0LWkhDaQqLQperNrNoUYIjEIOUSwgHJunX5/BsX+6mdaOHH876TAO2WnrsNXcGSrlSqtjVZkLaj0r5VdOyzmCz/IpPi+kqLFgbKNJz+oUrR15DvvN+Xww93OmvfoaG220UdfXNsFaRRKzXjtIyHoNQAjBKaecwrhx4zj4wP1556M5XHDiLxhZn2eYneeLgsnsXDWzS1UMs/IMsvJYSuEqRECUOqIkEH3fKZkr67GCeE1xhSJundiV2ls1FfHj3iqdSBd2OSFCjpK3O4yu0u6G9VrJAquEKPF1JSzT9xHaLk5LsBITC12V3pVYsDtkXckVrH9mmJx+6CTufvoVTrzuTh4/7wSEKkWq8u+V6l+L80orE7igHQfpWdjSO18j3+6eviX9muOfL1jEH265l3uemcqum4zmhl8dwpA+vcLWdFzWA2g9sLVUseh1iDTgcDJuilVbCeblUywsmvSybDbpadCQcc/hk/kLOPTU3zNkxEhef+ttevbs2fV1TZDgW4okZr0GMXHiRN54azrPz/yESSeczewlzRjpNENrDMb3kqxX7fClk+GFjkY+LFXTphSwhldOUu+PraCTdGfitOjnUQFPNL7tx7Bj4tyx44mgBrNegjR0LBEREStpSUdFcpXy0fXzizY4WRWsbhWz6LXqyqqOy7OudA76dyEj7mEpqbYMrjv5cJ6b8SF/eeRpyHVArh062oLtUmlXJGalkKo0qEp3MgxXjCYMjGLe/czrXy2KBT6dM5czrrqVTQ//Dc+98S7XH3cwj/3+OIb06x1P1Ppk0jS9Xta6oC2w4EONQ5TyPJXGTlexuGjwdmuaaa1ZEIJtezhs3LeKhpoqbCvLvU8+x24/P5599juAJ578b0LU3yBIx1kjrwRhJJb1GsaoUaOYNm0aZ555JtsddgJnHf1Tjj94bywB/aqhX9pmecnh85zFlLY0PUybwekifS0bwzRw06Y881av8d0Z4oRMOnTLPZqb62/vWTqCsIUULVdqml7NcLWfOHLRLHFwW2h2he6QekWLuNyi7xYqkXS3U7pWgeSj6Vmd5dfHwS4FnhPPGp245YacuN9Ezvz7v9lwUB923Xh9qKpx19MIWrm33XFshPTuNWFgdrR4bS0LNLe189Sr07nvmak8Pm06PWqrOPVHu/D/frgzdbU13rnrYZuItyeaJ60XadFJXcuflqZJh5Hhy7zJFwUTKWFQVrJhvU0qnXZTxhDM/2oZp158JTNmzea2v93Bfvvt173rluB/BiUSW90xEoSRkPVaQG1tLddddx2HHHIIR/7sUB6c/CLXn30iG40YDBb0NCU9UzY5AQs6BLNzWT7IwcCMzeC0TZXl1jVGlPwxRTdIW3rK3bJa4KA9UPUyk8SI06TnJo/EtdX/IcKOiOP0Qh96HNzU1ulGMZVYdCVQ0xXqqzO+MKA7pQ5Xh6i7WhZFVESn4ruKuE2TS47Yl4dfep0Hp81k1602dtctFkA6yNpGv9mHkWvzvhPTLySCdGhvbef+51/ltY/m8tyb7zJv4RI2HTmE6449mB/vtBXVmXQ8QUfPQXNlV/xMd8lLWOqkmZ9Ls6Qo6JmGDWoceqclwhDY2XpsBDYGtz30OOdddQMHHXwI9/7rP19rb+EECf7XSMh6LWKHHXZg5gezOe+889j5yF9z8s/25zeHH0jGszyyUjK81mRYDSwrOHzRYTCl2aTBkvRP2/SzBGkDt/SjJkxTDQrioC8X3Yn1RuPlvmWtWdo60eqWUakULIdwPfKyCYMucIpa+jHHGa3wpdBZi89KE5IoVoXMo/tYGayqex4qaxL8zx0QKc664198sbSJbTcYAekssqoGke9wV3dsyBcRhTy2leK12Z/x4bwveObNmbz2/scsb26lpb0DIQSbjRzMmEH9ePicYxkzuJ+3vyC+XTksoadmGeXLvPfSNJEYtEiTBXmLhUULCQyskoyuc6hSYvR0DY5h4hgpPpr/JSefexlffrWYhx5+hIkTJ6769Uyw1pEIzNYOErJey8hms1xyySUcdNBBHHHoIfzr2Sn85awT2WrjsYG72xD0zBr0yjgUHFiUgwU5iw/bLXqlHAakHfqaRQxDgEgFObRSlhOPIj/phIlbu/mlEOVEHrLCzYCQfUvbgxICKfGSZ735FrMTsZy7dNHHCMq6g+4K0eJCCbFu7u6I3zQ188qiO+r17kKv8e69n/z6O2w8tD+H7rSlWxrUMMGr1y0cmy+XNnH3Uy9x+3+eZ86XXwGwxfrDOGD7LehTX0vP2mp2GjeK4X17lR8zxDcbUevoVrR6r1vuHtpIs7BosbBgkHMEfTKSsfUOPdMGhhCAwE5X4RiuCrxoO/zl7/dz2Q23cfTRx3DhhRdSW1u7+tcvwVpFkrq1dpCQ9f8IW2yxBW/OfJ/LL7+cvU84hyP324tzjvkpNVVZhOeKlsIkZcDgGsmQaof2EizMCT7JWbxvW/RNO/RJO/TKWljIsAjDI37hG7JWiDSlZyEr0o4+SGPJW5G2YfrjBxt4AiIj674vFYNYtlo12rMYwiHuOCW3E0P0cUI2dQz6evqxVRozDoYBtno4iG7xdsX96VgTxFyJ5CPEWF9bw6uzPsGsa0Bm3LrdCxYs4MZ/P8cT06Yzc+7nZNMp9t9uC248+Wdsuf5wqjJpr8ysNqGJnou+XE+r0tOstBi0jBQ4aXMMFhdNFpVMmkuCXinJyCqH3tUmpnfPS9PC9qxopUqfOXsOJ/3+EvIlh2eeeZbx48ev/rVMkOBbjISs/4dIpVL89re/Zb/99uOInxzM+MNO4NqzTmKnrTd1V/AfjIADVSkYkYLhtZLWomRRTvBxh8W7rdAzJemTNemTgbRwXLJ1HLckpB12TytiFlKr0R2t1R19SHsxYKE/rHXXtRpfuclTaTA8lrYc1+LWjsHPYZYiTNzRGHZcvN3/LE4YR9dWuU7YcTFUNbbjfS5iSFbfflVc4XHXcWW209+rFDFV8xsoece3/s/PYMvRw6nOpHn45TfJplPss+0mnHrARPbcaiN61NYEY6qe2HoWQKV9CxFY8nraodZEA8PCESYttuCrgsnioqDNFvRMSQZkJJvVO6QsEylcwZtjmDhWBmlYOF4cu71Q4oobb+P6f9zDb37zG84++2wymUz3r1eCrx2JZb12kJD114AxY8bwypvT+etf/8qPf3M6B07ckQtO/D8aGxp84pKmW3lKSLfbUl0G6jKwnpS0Fx0W5+HLDvigBepTBn3S0DsFtSZe3+pyF7kUAoFmrXYjdis9H7jQSTQaE/abKngWuPRctKVimHRVRzAlOFMqcb0rGAQpSrpFHS280V3C1MmxElFH14/7SBew+etGYsfdQbQP96pY31KCtKFg+2M9ccFJ/PvVd5gxZz7PvPU+mZTFmQd/n+Mm7UJDTVVwHWzNQ1IpthydMPnWcvjCKCu6ZKRYXjJYkjf5qiCwJfRKSUZUS3qlJZaBX2BF4qrSHTONFF5+t2HiCJNXZ7zHKX+4hLqGBqZNm8amm2668tcmwdcOBwdndXQh3hgJwhAyieR/rZg3bx6/+NmhvP/BR1x55vHsvdP4QNWtQ7mhvYeuincXiiUWFw0W5wXLC2AZkl6WQ6809ExLMtLbLqa0aUWFeaUfWtx20ZiwIgV9DNsO3K3+WDH79lXlilwjrBlVI1fqxhQ3ZiU3r4eSFDxj92c3cyHW6uZdyy7O8+tCtIwnlBN03Gf6tQbXenYMltgpltomK4qCjAG9Uw59M9AjpRVjEcIttuK57G3TVZU7iqQNi9a2HBddcz3/fPBfnHfeeZxyyilYVmJHfNvQ3NxMQ0MD+xzzFqn06tVlLxZaeOzGLWhqaqK+vn4NHeG3G8kv4mvG8OHDefrFKfz973/nuJNPYpenXuKyXx9Dn56N7grCcNXgpqW5pPFrOqeFYFBKMrjKwUbQVIBlecFnOcG7rVBrupWfeqYMGiyHlEBzjxNLzCKaOx3pJy31Wa9yl+sWm674VhXS/C5fGrlHyVuVXzXC+wuNq9Ad0gHXtR2XW14mMtPH0Qh2ZcVkemlXdQC6FyOulnlXy/SxdUQJtitXe7SYTTQGrbZVZUc9gpWOQwcmy22LJSWTZSUTiUvK/dKSDatLVFmG65230gE5e+M6hlVmRau/z77yGqf/4UJGjlqP6dOnM3r06PLjTvCtgttBd3Xd4GvoYNYhJGT9DYAQgsMPP5w999yTE088ka0POpqLTzuOQ/baFRPHr48sdb6RnjvaV2HbGFLSI2vQWGUwyrEplkosLwiWFk0+aIcOx3WT90hJGlOSRtMma2gubeWCj6rI4wReqqe1OhzTLLe4VU9vnbRRudxOuXDNcQKijyKOWCKTiFhLO66xSRwB2zEPl+7GxBX0HHefdI2AwKMivc6akMS5yrtMm4oQfdTjEK0Prsecte/YFiatJcHyksEK22RFyaAoocF06JmSDK22qbcCx4f07kPbdGPo6n51jFTYihZuXNoRJouXN3H+n6/hiaee4bLLLuPoo4/GWJ0UtwTfGCQx67WDhKy/Qejfvz/3338/Dz30ECedcALX/OMBzjr2cCbttK1r4WgPVIFAID3rWISFZQBCkLIs+hkl+mVdws3b0JQvsaJoMK/doMU2yBrQmJI0mA71lkGdKTE1y1JWiB0JjDLS1NcVigR0oZodpKphyCA27TgamROTahUmE20nMcvi1o1JN4rCNKBEIDCLW6eSi119pjwV+nVR1yAqzutut7A4dLV+XM6zVr1MqutsuD//HCbNtkFzSbCiZNBUEggBjZZDo+kwNFOi3gLTUpNG9xo7HuErS1qaKSQiJBhTVrTEvR+WNrVy/R13cvs//sluu+3O+++/z5AhQ1bu/BN8o5HkWa8dJGT9DcT+++/PD37wA26++WZOu+B8/nRzT377qyPZa8IWSCuNkBLHMP08a5+4rbSfniU9M1wapltGUjqkLYO+pkVf6QAOJQeaSrCiKFhSNJjT4bYgrDEl9aak3nSotwS1psRU/BBjfStLWEgjlrj99S3Nla8L1VyW1KzfmFzsSi7f0HqVRGNGeMzOSNcwAoFZZ5aqu3KFfREOBQDBhEETb8X5+uKEf90lc6XW9tXZ4XKeCIO8NGiSKZpLgmbHJeiCAzUm1FuSvmmH0dUOtcJ2h/GI2EllcAAhnRA5Ax4ZCxwz5bu7lRWtSHpFSxs3/uNubvnbnXxv/HgmT346ScdKkGAlkJD1NxTZbJYTTzyRo446iuuvv56Tzr2QoYMGcubxv2DX722JEAJpuKRlOLbbM9rrGy0JiFDFu5ULVgrTz8U2LYNepkOvtEewUpJ3oLkELUXB4qLJJ7mAwGtMSa0hqfX+rzZkwCOqCIsww67zSKpYWUlUAKxAJW3bYXJWoqjO3MQQb2Xr6+qu9bKcZS+ckMdTPmufKdd8FNHji4Pa1r8ekVi/jBkjGvPWC85Ez7OS1SwMSo5Dm0zT6ghabYPWgkmrI8g7UG1CvQU90jCsyqHedBXbYbGg21zGb/wBLhELy8uF9qzsiBXtGCn/O5ZC0NLewU3/uJebbv87m262GY89/jg77rhj/PVKsE7AcRyc1WzEsbrbr4tIyPobjqqqKk499VSOOeYYrrvuOo454zzWHzmMM48/ih223cprb+hazoZdQkonsPdkEO/2ISXSNNxCLFJ6VpLhk0rWcMikDPpmPcvPcciVHFpsN2e21RYsKhq02QKBS+K1pqTGkFSbkipDUm3YWEKLd0dKisqIlR5ylUfFWHrKVLeafXRCrAqR+LUUIvBSC+Efn5pUVCrtWnbsROL90RSoSg1VovXX1Ta6JW4EpKm2cwyTvBS0k6LdMWiXJq1F9zvKOYKUkNSaUGNJ+qQFwy2os3CJWVP2Sy+lSp2LNCx3gheciLfctaB1sZgUhmtVeyStQjWtHTlu/ed93HDr39hgzAY89PDD7LrrrpWvY4J1BknMeu0gIetvCWpqajjjjDM47rjjuPbaa/m/U89mow1Gc+YJv2SrbbbFkDaGUcKQNtIuet2UTAwvdcsxTQSe29yxkbjuXuXW1KuogScawgRDkjUdstKhj380bvW0DhtabUGrDS0lg0UlQYcNJZkmJVzL2yVwh2rhUGVIssImYwhXnBSxIKUAlOVt28S6rqOK8AoK6aAQTLxwzBdVCe9/P13M8vfrTyq6MUkI9e1W5ObXSTdD5FjWrSzqdgdXh+dZyHlp0OEYdGB5pGzQ7rjLHCBr4F5nE3pmYJjhUJOCtNpFRO/gTuLcn75Ec20D0kpHQhxGmKC9v+CmcElhupY1IBG05wv8/Z77+evNtzNs+HDuvuce9thjD8SqFJJJkCCBj4Ssv2Wor6/n7LPP5vjjj+eqq67isON/zeYbb8hpJ53AlltshmUXEEYaIW2sUg7HiyML6SDx3MFetyyXtL0HrRTlVi14oikRuGxxH+7ChGrDoTpt0FeN71moRQkdNnSUXAV6e8lgqW2ScwR56Q6aFpKMIckakqxwyBi4f4UkJRzShkEGB0NP9YqmFUF8sRINFa1irSSmvp7UJiwrBW2bIMVOF5ppaW/CoCTcmiZFKShIgzyCnGOQwyQnDfLSfW8jMHGvUZXhTnh6WpJBZolqU1BlgrAqHK8iac3idY8hvL4Uli8OA1z9Q4Sg1RiugCwQjKll7cUS/7zvQa698RYGDRzE3+64gx/84AcJSX8HIaUTnryu4hgJwkjI+luKxsZGzj33XE466ST+/Oc/c+hRx7LNllvw65OOZ9ONNwLANtMYjk2q2BYyUv0Hty8M06xrCCxwT8Dmk1fgK/bjsMIjIt91LCANpCyDBi8W7hZwcS1Kx5EUJOQdQc6WHikJWmzBEseiIAVF7wVgIkkLh7SQpIUkJSSWkFhITEO4/wuwBJgCLBwsId1KpoDh/W94xxYVcJWRuVJ16/DWdzCQuEa44/21cSt2lSTYjqSEG+MvyWB5SboiLpeY3Zf0RIHqvNLCIWtIqnDoYRTJCIesAVnDcX+khgDD0jwCAmmlyhXp+mErK7iCml4K4adX6XB0hbc/yXDXdTxXuBo/V7S558GHuO7Gm2ls7MFNN93Mj370o4Skv8NI3OBrB0kFs3UEixcv5rLLLuO6665j+/Hf47STfsVGY8cAYDpuSlc23xQQsBFjCUZms0I6CMKf+Z2+vFKo7mcVbiFNTS28vOyQGryTCmqOZ6EXpaBouwSvCK8kBSUEtve3pJZ55FmS+IQSOhw84hblfAxQkK7F763szi8IyDmGxTHAmyy4inn1vyVwJxTe/2nDfaVMt+1pStpY0kGYbvMLo5AHp9Spy93J1gTfW8y1U5MuRdBSCee06ypF2JUNhKxudyCXpB0tJOLo8WohKBRLPPCvx7j6rzdQU13DhRddxAEHHJDkSn+HoSqY7X7YK6TSq9cdrVho5em7JiQVzDQkZL2OYeHChfzxj3/khhtuYJedduTInx/GNlttiefAxBEm1fkVAEGLTiFccVpncV7P1Q2B5e2P4a1fRt6aZSa8WHmIsCG+WIkTGUffpiytqdyVrTZ1E9T0/w0cRFnXT4RrBb/ZkmLL+lKQpoZn0Kq/QlnrYDiO3/o7dOzRy6YL/CJWsF/pS0oM26uj7tiB4A/899KycKxMmRfEPW/DT9NS1cKi10dq1rK/jX4JfLV+4Op2hKkRtkvSza1tPPL4k9x4y+1YqRTnn38+hxxyCGYX4YgE6z58sv7JFKzVJOtSoZWn794uIWsNCVmvo/jyyy+57LLLuONvf6OhoYGD9t+XA/fblwH9+yKk4z+EqwrNvgUtopZ1tOIWmmXtv3cQ0i4n0y5aLhp2UVsWViaH9gVhKzxK3KKCWjsmXuwfT0wrzpIDzy2z2KVnCdOs7MKtVE89sHi1+LRexMbRC9aEFfJ+XBhC34Ga3EgzFeQ0a2lR7vto/FmFOAxtnXKXduicPO+Jyo0uGelgXSGQUjL1jbe594GHefzJ/zJu3DhOOOEEDjvssKSGdwIfiqx3/fFLa4Ssn71nh4SsNSS/tHUUAwcO5Morr+TSSy/l0Ucf5dZbb+Wq6/Zg+wkTOPjA/dlt113IpkzyqRrAfWCnSnkEnlpcGAhhhkg8ZNH5rm0DieWTUcjqji1c4hKArWqdK5e6Y7vKZM0V7KuxjSBnHMejFilxJdMx+cc6dMs2kiKlN0zRBWaduaJldO4RJdkoUfv5z6nI9Qs+D1m8BGl1TqR8pxo/iCmHzyE4pvCYjoi4vL1iJUJlCgjTjV8rF7lwY+oLFi3igYf/zb0PPkxzSws///nPk25YCRJ8TUgs6+8Q5s+fzx133MEtt9xCS0sL+/3ohxx84P5sMHo0hvRytT13t+FZy4LKsWVFPIYMXOGGZw26/xe99SI5yJ6rNQrDKYXj4RX2G7LKFSoVUegihqqOqeTA80tNdu5lY5nllnFFdCGk0l3d3R5Ds2rVexUvLrOYtTFkheuqH4fUUsZ0NbeKSRcKRZ567nnufeBhpkydxm677cYvfvELJk2alPSVTtAplGW9y8EvrhHL+rn7dkwsaw0JWX8H4TgOL774Irfeeiv3338/G2wwmkMOPIBJ++xNQ61raRvSdtOmIETeCiIkL5f+NkIjW7W+cEquFaeJlkKIuLJ197sifCBc+xyPtKOu+5h+zZXczDpKDjy/RLBzb6+aF+XWsX+6cSSur9NV3W/9fCtNCJSLX0uhit2/5t52hFl2ftE0K385SkTmxs4/+PAj7n3wIR7+12PU1dfzy1/+kp///OdJ3e4E3YYi650Peh4rtZpkXWzl+ft3TshaQ0LW33E0NTVxzz33cNNNN/H++++z5557csiB+/O9bbZGGEFRFYF0Cdyx/RiniLi7FYErsvVd6Iq8fUFbfBpRGTnqk4OIME13uxvFXNn6lcaJVnRT51ByJC98JdmpD24/6xiSjZKkOpe4mLnv4i9LpwrHmn21PeFYslRpWtF9xyzTU6l0d3o0zUo/BkeYNDU38+jjT3DvAw/x0eyPOeiggzjyyCPZcccdE1V3gpWGIuudDnhujZD1Cw/ukpC1hiRm/R1HQ0MDxxxzDMcccwwzZ87k9ttv54STT6G2poYDDzyA/ffbn0ED+vmkYpuWa0EjA5L2U7w8y85rlxlnfZtO0Y+JuxurnO0wqbgFXDQyc4J4seHYfgUuRwhs021uYjiupa0r1Mv6PEfgV2xDAiWkaQVx6c5c3IqkK1jG7hjlXgTdnY10CE0vRLkFHN5ncI18D4V2jGqZ7r3Qq4tJYeA4DlNffYN7HniIJ//7FOPGjeP4E07kkEMOoaGhofL5JkiQ4GtFQtYJfGy88cZcccUVXHrppfz73//mtttuY5fddmP8977HxIkTmTBhAsOHDcXwhGe+1a2ldCnLWycrIR2kX3nMRJhBPNqQNnFhVpVmpshMGCKYMIRyxD3xG+CYbtqSWSpgeJMCb7BO09JcQZVH1oYZtJDsApXiw/o5KJIUqsSnbm3HxZ+7spy9dVTsWSd3PQ9avXeESb5Y4u233+KFKVP592OP0dbWzuGHH84bb1zMuHHjunWuCRJ0F0kFs7WDxA2eoFN88cUX3HnnnTz55JNMmTKFfv36sd1227H9hAlMmDCeno0NIbe4cn1HLW8F//O4+LdWaEUnOndBFyKtCHzxm1PyRW+hPHEFjzxLjuSlLzrYflA1lhHOD4/LWwZNAKYhmgOtloUPTvMmxMS3/VznlSBnfeLgIJg1+xNefmUqL02Zymuvvebmv+6+O/vuuy+TJk0inU53dQkTJFgpKDf49vs+g+VlmawqSsU2Xn5kt8QNriEh6wTdRltbGy+99BKTJ0/mv//9L7NmzWLDsWNd8t5+O7beYnOyGZcElNUNuptcvY+6z4OYdKeFWTSIaM9r6JTM/QmE19s7/JmkZNtM+byV7YbUuzFrwmTcpTK8E5e5Tq5qEhK7nu+yjqtZblQkZ4AFixbz4tRXeWnKK0x5ZSptbW3svPPOTJw4kYkTJ7LRRhslJUATrFUkZL12kZB1glXGokWLeOaZZ5g8eTJPPvkky5cvZ6utt2b77bZjh/HfY+zYMZiGXuQkStphS1cn8bJa5RoqKbqjQrcoJEbIitePqeQ4TJu7lPHDe2Dp4qpIvDuqqO4OKqrKKZ8ARC1ntb2j5W9LBK2tbUx97XVefmUqL7/yCnPmzGXLLbdkzz33ZPfdd2f8+PGJ9ZzgfwpF1tv9cPIaIespj05MyFpDQtYJ1giklHz44YdMnjyZp59+mmeffZZUOs2E8eNd8t5uPIMGDvTXjyrK9WVqeSVrvCtEyb0725Vshzc++ZJtRvZz86wj++sq9UtHnGo8mrJWqZqY/plKq5IIisUiM959jxenTGPKK68wffp0hg8fzh577MHuu+/OLrvsQmNjY5fHliDB2oIi6wn7PLVGyPqVx/ZIyFpDQtYJ1gqKxSKvv/46kydPZvLkybz66qsMGTKEbbfdltGjR7PeqFGMHDmSAf37IYQIWdGdEXh0WXcQio/HjC2k45P1lusN9ouihMcIl0TVx4yWAHWXlZNxJVe6jCi6c4Uicz/9jNmfzOHjOfN49733mDZ1KplMht13352JEyey++67M2zYsJW6DgkSrE0kZL12kZB1gv8JmpubeeGFF3jppZeYNWsWs2bNYu7cuVRVVTFy5EifvNdbbxTrjRjBsGFDSaVSZeK1OMQJulbWAndKNm/N/pTNRw/HjCFrf2zESk8WKmF5UzMfz/3UJ+WPP5nDJ3PnMv+zz6iqqmLs2LGMGTOGTTfdlN12241NN900yX9O8I2FIuvxez+5Rsh66uPfT8haQ5K6leB/gvr6eiZNmsSkSZP8ZblcjtmzZ/PBBx8wa9YsPvjgAyY//TSzZ8+mWCwybNgwRo4cyaiRIxm13nqsN2okI0eMoK6uLmyJx7qSzU5JVUgnrKDuxC0d2s4bs9vxailZsHARs+fM5eM5c/n4kzl8PHcen3wyh8WLF9O3bz823HAsY8eOZd/99mPMmDGMHTuWQYMGJYKwBN9KJP2s1w4Ssk7wtSGbzbLxxhuz8cYbh5Y7jsNnn33mk/isWbN49NFHee+991i2bBn9+vdn1MiRDB8xgob6emrr6qipqaG2upra2lpqamupq62htqaGuppqampqqK6uxtC5L1Ka01EdKYWBXYHoS6USrW3ttLS20ub/baO1rY1Wf1kbbW1tLPzqKz6ZM5c5c+aQy+UYNWqUT8S7TtyTsWPHssEGG9CjR4+1cWkTJEiwjiFxgyf4VmHJkiV88MEHfPDBB8yePZumpiaam5tpaWmhpaWF5uZmVqxoorW1hZaWVnK5DgAMw3AJvbbWJfSamtD76qoqWlpbsG2b9vZ2WlpaaG/voLWlhda2NtraWunocMuaCiGora2lrq6Ourp6Ghrqqa+vp66uzv/bt29f3429/vrrJ00wEqzzUG7wrXa7D9NaPTe4XWrjjWcOTtzgGhKyTrBOo1QqhYhc/xtdlk6nPQKuKyNf9bfOs+ITF3WCBGHkcjlGjBjBwoUL18h4/fv3Z+7cuWSz2TUy3rcdCVknSJAgQYI1glwuR6FQWCNjpdPphKg1JGSdIEGCBAkSfMOR5IEkSJAgQYIE33AkZJ0gQYIECRJ8w5GQdYIECRIkSPANR0LWCRIkSJAgwTccCVknSJAgQYIE33AkZJ0gQYIECRJ8w5GQdYIECRIkSPANx/8H/6xpsK0bbEoAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cartopy.crs as ccrs\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "ax = plt.axes(projection=ccrs.Orthographic(0, 25))\n",
    "ax.gridlines()\n",
    "ax.coastlines()\n",
    "\n",
    "ds_t = ar_full_37_1h[\"2m_temperature\"].sel(time=\"2024-01-01T00:00:00\")\n",
    "\n",
    "(ds_t - 273.15).plot(\n",
    "    ax=ax, cmap=\"coolwarm\", transform=ccrs.PlateCarree()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Air temperature and sea-ice cover\n",
    "\n",
    "We can also add additional information to the plot such as sea-ice cover:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Air temperature (colors) and sea ice cover (hatched area)\\n')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.axes(projection=ccrs.Orthographic(0, 90))\n",
    "ax.gridlines()\n",
    "ax.coastlines()\n",
    "\n",
    "ds_ice = ar_full_37_1h[\"sea_ice_cover\"].sel(time=\"2024-01-01T00:00:00\")\n",
    "\n",
    "(ds_t - 273.15).plot(\n",
    "    ax=ax, cmap=\"coolwarm\", transform=ccrs.PlateCarree()\n",
    ")\n",
    "ds_ice.where(ds_ice>0.2).plot.contourf(\n",
    "    colors=[(1, 1, 1, 0.0)],  # RGBA color (alpha is 0.0 to make it transparent)\n",
    "    ax=ax, transform=ccrs.PlateCarree(), hatches=['xxxxx'], add_colorbar=False,\n",
    ")\n",
    "plt.title(\"Air temperature (colors) and sea ice cover (hatched area)\\n\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}