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    "**Brian Blaylock**  \n",
    "*January 27, 2022*\n",
    "\n",
    "# ECMWF Open Data -- Real Time\n",
    "\n",
    "> [Media Statement](https://www.ecmwf.int/en/about/media-centre/news/2022/ecmwf-makes-wide-range-data-openly-available)\n",
    ">\n",
    "> The data that are becoming available are based on a range of high-resolution forecasts (HRES – 9 km horizontal resolution) and ensemble forecasts (ENS – 18 km horizontal resolution). **They will be made accessible at a resolution of 0.4 x 0.4 degrees**.\n",
    "\n",
    "This data is freely available from ECMWF in GRIB2 format ([read more 👀](https://confluence.ecmwf.int/display/UDOC/ECMWF+Open+Data+-+Real+Time)).\n",
    "\n",
    "There following prodcuts are available:\n",
    "- `\"oper\"` - operational high-resolution forecast, atmospheric fields\n",
    "- `\"enfo\"` - ensemble forecast, atmospheric fields\n",
    "- `\"wave\"` - wave forecasts\n",
    "- `\"waef\"` - ensemble forecast, ocean wave fields\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b51a1150",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cartopy.crs as ccrs\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "from herbie.archive import Herbie\n",
    "\n",
    "# The following are imported from\n",
    "# https://github.com/blaylockbk/Carpenter_Workshop\n",
    "from paint.standard2 import cm_tmp, cm_wind, cm_wave_height\n",
    "from toolbox.cartopy_tools import common_features, pc"
   ]
  },
  {
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   "id": "034f9f37",
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   "source": [
    "## Retrieve a full file\n",
    "Download a full GRIB2 file to your local system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b6a467e6",
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    {
     "name": "stdout",
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     "text": [
      "🏋🏻‍♂️ Found \u001b[32m2022-Jan-26 00:00 UTC F12\u001b[m [ECMWF] [product=oper] GRIB2 file from \u001b[31mazure\u001b[m and index file from \u001b[31mazure\u001b[m.                                                                                                                                                       \n",
      "✅ Success! Downloaded ECMWF from \u001b[38;5;202mazure               \u001b[m\n",
      "\tsrc: https://ai4edataeuwest.blob.core.windows.net/ecmwf/20220126/00z/0p4-beta/oper/20220126000000-12h-oper-fc.grib2\n",
      "\tdst: /p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-12h-oper-fc.grib2\n"
     ]
    }
   ],
   "source": [
    "H = Herbie(\"2022-01-26\", model=\"ecmwf\", product=\"oper\", fxx=12)\n",
    "H.download()"
   ]
  },
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   "source": [
    "## Download/Retrieve a subset\n",
    "\n",
    "This relys on the `searchString` argument to parse out information from the GRIB2's index file. The ECMWF index files are different than the wgrib2-style index files, so pay close attention to how you should select the field you want."
   ]
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   "id": "9d4f1633",
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     "text": [
      "\n",
      "Use regular expression to search for lines in the index file.\n",
      "Here are some examples you can use for the ecCodes-style `searchString`\n",
      "\n",
      "Look at the ECMWF GRIB Parameter Database\n",
      "https://apps.ecmwf.int/codes/grib/param-db\n",
      "\n",
      "======================== ==============================================\n",
      "searchString (oper/enso) Messages that will be downloaded\n",
      "======================== ==============================================\n",
      "\":2t:\"                   2-m temperature\n",
      "\":10u:\"                  10-m u wind vector\n",
      "\":10v:\"                  10-m v wind vector\n",
      "\":10(u|v):               **10m u and 10m v wind**\n",
      "\":d:\"                    Divergence\n",
      "\":gh:\"                   geopotential height (all levels)\n",
      "\":st:\"                   soil temperature\n",
      "\":tp:\"                   total precipitation\n",
      "\":msl:\"                  mean sea level pressure\n",
      "\":q:\"                    Specific Humidity\n",
      "\":r:\"                    relative humidity\n",
      "\":ro:\"                   Runn-off\n",
      "\":skt:\"                  skin temperature\n",
      "\":sp:\"                   surface pressure\n",
      "\":t:\"                    temperature\n",
      "\":tcwv:\"                 Total column vertically integrated water vapor\n",
      "\":vo:\"                   Relative vorticity\n",
      "\":v:\"                    v wind vector\n",
      "\":u:\"                    u wind vector\n",
      "\":(t|u|v|r):\"            Temp, u/v wind, RH (all levels)\n",
      "\n",
      "======================== ==============================================\n",
      "searchString (wave/waef) Messages that will be downloaded\n",
      "======================== ==============================================\n",
      "\":swh:\"                  Significant height of wind waves + swell\n",
      "\":mwp:\"                  Mean wave period\n",
      "\":mwd:\"                  Mean wave direction\n",
      "\":pp1d:\"                 Peak wave period\n",
      "\":mp2:\"                  Mean zero-crossing wave period\n",
      "\n",
      "If you need help with regular expression, search the web or look at\n",
      "this cheatsheet: https://www.petefreitag.com/cheatsheets/regex/.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Show the searchString_help\n",
    "print(H.searchString_help)"
   ]
  },
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   "execution_count": 41,
   "id": "66a65101",
   "metadata": {},
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    {
     "data": {
      "text/plain": [
       "grib_message\n",
       "1        :skt:sfc:g:0001:od:fc:oper\n",
       "2         :st:sfc:g:0001:od:fc:oper\n",
       "3     :gh:1000:pl:g:0001:od:fc:oper\n",
       "4      :gh:925:pl:g:0001:od:fc:oper\n",
       "5       :r:300:pl:g:0001:od:fc:oper\n",
       "                  ...              \n",
       "78      :d:250:pl:g:0001:od:fc:oper\n",
       "79     :vo:250:pl:g:0001:od:fc:oper\n",
       "80      :vo:50:pl:g:0001:od:fc:oper\n",
       "81        :ro:sfc:g:0001:od:fc:oper\n",
       "82       :d:50:pl:g:0001:od:fc:oper\n",
       "Name: search_this, Length: 82, dtype: object"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Look at the search_this column of the index DataFrame\n",
    "H.read_idx().search_this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "24b519cd",
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     "text": [
      "📇 Download subset: [ECMWF] model [oper] product run at \u001b[32m2022-Jan-26 00:00 UTC F12\u001b[m                                                            \n",
      " cURL from https://ai4edataeuwest.blob.core.windows.net/ecmwf/20220126/00z/0p4-beta/oper/20220126000000-12h-oper-fc.grib2\n",
      "   1: GRIB_message=35  \u001b[34m:2t:sfc:g:0001:od:fc:oper\u001b[m\n"
     ]
    }
   ],
   "source": [
    "ds = H.xarray(\":2t:\")"
   ]
  },
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   "execution_count": 43,
   "id": "115e9055",
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       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26T12:00:00\n",
       "Data variables:\n",
       "    t2m                  (latitude, longitude) float32 247.7 247.7 ... 245.5\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 oper\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...</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-135e9844-63f2-485b-90cc-56eae7460e63' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-135e9844-63f2-485b-90cc-56eae7460e63' 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'>latitude</span>: 451</li><li><span class='xr-has-index'>longitude</span>: 900</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e28f5c0b-d737-4bf6-9004-dd24d9f3a5eb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e28f5c0b-d737-4bf6-9004-dd24d9f3a5eb' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-fd91bee6-48c5-4495-ad66-5f3f7ccbbcd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd91bee6-48c5-4495-ad66-5f3f7ccbbcd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edc213d1-e07d-41a0-bfd6-5cc5923b9bbd' class='xr-var-data-in' type='checkbox'><label for='data-edc213d1-e07d-41a0-bfd6-5cc5923b9bbd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>12:00:00</div><input id='attrs-9a45beaf-5e3a-4d3b-8d1c-b1176b2bdef5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a45beaf-5e3a-4d3b-8d1c-b1176b2bdef5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e6aaf4d-426d-4b1e-9948-95c31cb13716' class='xr-var-data-in' type='checkbox'><label for='data-3e6aaf4d-426d-4b1e-9948-95c31cb13716' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(43200000000000, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heightAboveGround</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-05cb8d00-4338-436b-af5a-acca979cd499' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05cb8d00-4338-436b-af5a-acca979cd499' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef7931b7-8023-41f1-bc54-ab3a7203ce60' class='xr-var-data-in' type='checkbox'><label for='data-ef7931b7-8023-41f1-bc54-ab3a7203ce60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height above the surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.6 89.2 ... -89.6 -90.0</div><input id='attrs-da42ed77-378f-48de-b12f-d44d5b260395' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da42ed77-378f-48de-b12f-d44d5b260395' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4eb2b6c8-937a-4d5c-b740-ff14bddc53aa' class='xr-var-data-in' type='checkbox'><label for='data-4eb2b6c8-937a-4d5c-b740-ff14bddc53aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  89.6,  89.2, ..., -89.2, -89.6, -90. ])</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'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.6 ... 179.2 179.6</div><input id='attrs-77dc6477-4b2b-4560-bac2-940287fe12c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77dc6477-4b2b-4560-bac2-940287fe12c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a428fc0d-10cd-42c7-9ec5-d098db38c180' class='xr-var-data-in' type='checkbox'><label for='data-a428fc0d-10cd-42c7-9ec5-d098db38c180' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180. , -179.6, -179.2, ...,  178.8,  179.2,  179.6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26T12:00:00</div><input id='attrs-7c83790a-2461-45f4-8852-1d9aa48698e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c83790a-2461-45f4-8852-1d9aa48698e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-584d1c23-1b80-49ab-8941-81a0cdfce412' class='xr-var-data-in' type='checkbox'><label for='data-584d1c23-1b80-49ab-8941-81a0cdfce412' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d1a70ed4-0679-48f1-a4f4-86170c160ba3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d1a70ed4-0679-48f1-a4f4-86170c160ba3' class='xr-section-summary' >Data variables: <span>(2)</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>t2m</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>247.7 247.7 247.7 ... 245.5 245.5</div><input id='attrs-e303c300-945b-4366-9225-436a20ea56a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e303c300-945b-4366-9225-436a20ea56a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-229157b1-1bf6-42e9-a8dc-072a4337b228' class='xr-var-data-in' type='checkbox'><label for='data-229157b1-1bf6-42e9-a8dc-072a4337b228' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>air_temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_parameterName :</span></dt><dd>Temperature </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>K</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepRange :</span></dt><dd>12</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[247.67857, 247.67857, 247.67857, ..., 247.67857, 247.67857,\n",
       "        247.67857],\n",
       "       [247.99107, 247.99107, 248.02232, ..., 247.95982, 247.99107,\n",
       "        247.99107],\n",
       "       [248.33482, 248.33482, 248.36607, ..., 248.27232, 248.30357,\n",
       "        248.30357],\n",
       "       ...,\n",
       "       [243.45982, 243.49107, 243.55357, ..., 243.39732, 243.39732,\n",
       "        243.42857],\n",
       "       [244.58482, 244.58482, 244.58482, ..., 244.55357, 244.58482,\n",
       "        244.58482],\n",
       "       [245.45982, 245.45982, 245.45982, ..., 245.45982, 245.45982,\n",
       "        245.45982]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gribfile_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-b33590eb-6201-4c38-8b7b-fbcbf9683612' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b33590eb-6201-4c38-8b7b-fbcbf9683612' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79d86ecd-97f9-4ecc-a724-6d6921f74355' class='xr-var-data-in' type='checkbox'><label for='data-79d86ecd-97f9-4ecc-a724-6d6921f74355' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCRS[&quot;unknown&quot;,DATUM[&quot;unknown&quot;,ELLIPSOID[&quot;unknown&quot;,6371229,0,LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8901]],CS[ellipsoidal,2],AXIS[&quot;longitude&quot;,east,ORDER[1],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]],AXIS[&quot;latitude&quot;,north,ORDER[2],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>unknown</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>long_name :</span></dt><dd>ECMWF model grid projection</dd></dl></div><div class='xr-var-data'><pre>array(None, dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cf005a91-527c-47f4-a5d7-a7ceb5ab8bbd' class='xr-section-summary-in' type='checkbox'  ><label for='section-cf005a91-527c-47f4-a5d7-a7ceb5ab8bbd' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>model :</span></dt><dd>ecmwf</dd><dt><span>product :</span></dt><dd>oper</dd><dt><span>description :</span></dt><dd>ECMWF open data</dd><dt><span>remote_grib :</span></dt><dd>https://ai4edataeuwest.blob.core.windows.net/ecmwf/20220126/00z/0p4-beta/oper/20220126000000-12h-oper-fc.grib2</dd><dt><span>local_grib :</span></dt><dd>/p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-12h-oper-fc.grib2.subset_972a67c48192728a34979d9a35164c1295401b71</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 12:00:00\n",
       "    heightAboveGround    float64 2.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26T12:00:00\n",
       "Data variables:\n",
       "    t2m                  (latitude, longitude) float32 247.7 247.7 ... 245.5\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 oper\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000..."
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2fa1a7d9",
   "metadata": {},
   "source": [
    "## Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "4e58339a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/p/home/blaylock/anaconda3/envs/herbie/lib/python3.9/site-packages/metpy/xarray.py:349: UserWarning: More than one time coordinate present for variable \"gribfile_projection\".\n",
      "  warnings.warn('More than one ' + axis + ' coordinate present for variable'\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(1.0, 1.0, '2 metre temperature')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = common_features(\"50m\", crs=ds.herbie.crs, figsize=[10, 10]).STATES().BORDERS().ax\n",
    "p = ax.pcolormesh(\n",
    "    ds.longitude, ds.latitude, ds.t2m, transform=pc, **cm_tmp(units=\"K\").cmap_kwargs\n",
    ")\n",
    "plt.colorbar(\n",
    "    p, ax=ax, orientation=\"horizontal\", pad=0.05, **cm_tmp(units=\"K\").cbar_kwargs\n",
    ")\n",
    "\n",
    "ax.set_title(\n",
    "    f\"{ds.model.upper()}: {H.product_description}\\nValid: {ds.valid_time.dt.strftime('%H:%M UTC %d %b %Y').item()}\",\n",
    "    loc=\"left\",\n",
    ")\n",
    "ax.set_title(ds.t2m.GRIB_name, loc=\"right\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "06053033",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🏋🏻‍♂️ Found \u001b[32m2022-Jan-26 00:00 UTC F00\u001b[m [ECMWF] [product=oper] GRIB2 file from \u001b[31mlocal\u001b[m and index file from \u001b[31mazure\u001b[m.                                                                                                                                                       \n",
      "📇 Download subset: [ECMWF] model [oper] product run at \u001b[32m2022-Jan-26 00:00 UTC F00\u001b[m                                                            \n",
      " cURL from file:///p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-0h-oper-fc.grib2\n",
      "   1: GRIB_message=34  \u001b[34m:10v:sfc:g:0001:od:fc:oper\u001b[m\n",
      "   2: GRIB_message=39  \u001b[34m:10u:sfc:g:0001:od:fc:oper\u001b[m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/p/home/blaylock/BB_python/Herbie/herbie/archive.py:683: UserWarning: This pattern has match groups. To actually get the groups, use str.extract.\n",
      "  logic = df.search_this.str.contains(searchString)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-icon-database,\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    heightAboveGround    float64 10.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26\n",
       "Data variables:\n",
       "    u10                  (latitude, longitude) float32 8.174 8.174 ... -5.998\n",
       "    v10                  (latitude, longitude) float32 3.499 3.499 ... 3.733\n",
       "    gribfile_projection  object None\n",
       "    spd                  (latitude, longitude) float32 8.891 8.891 ... 7.065\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 oper\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...</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-150bcd2b-dc93-4d81-b1b1-7226ba1a44fb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-150bcd2b-dc93-4d81-b1b1-7226ba1a44fb' 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'>latitude</span>: 451</li><li><span class='xr-has-index'>longitude</span>: 900</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5d2cac28-243f-47f8-b924-cd210c30d67c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5d2cac28-243f-47f8-b924-cd210c30d67c' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-29041e99-79c2-4f3e-a00f-40971b6f6b24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29041e99-79c2-4f3e-a00f-40971b6f6b24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32058593-fbdc-4c18-8407-70fa8ccdd1fd' class='xr-var-data-in' type='checkbox'><label for='data-32058593-fbdc-4c18-8407-70fa8ccdd1fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00</div><input id='attrs-1e59d277-1c8c-404a-82b9-63baf2d88350' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e59d277-1c8c-404a-82b9-63baf2d88350' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57237b4a-4fb8-4c4c-9f58-7898787f8d22' class='xr-var-data-in' type='checkbox'><label for='data-57237b4a-4fb8-4c4c-9f58-7898787f8d22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heightAboveGround</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0</div><input id='attrs-68b63cba-3d99-4326-99ff-93fdceacf0a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68b63cba-3d99-4326-99ff-93fdceacf0a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a34ca08-7b9a-461e-b271-7d83fc8032e3' class='xr-var-data-in' type='checkbox'><label for='data-5a34ca08-7b9a-461e-b271-7d83fc8032e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height above the surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.6 89.2 ... -89.6 -90.0</div><input id='attrs-d9133fde-458f-4937-8780-1b52b1019ac4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9133fde-458f-4937-8780-1b52b1019ac4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce072156-f16c-4b3c-a1bb-61dfb13ebcac' class='xr-var-data-in' type='checkbox'><label for='data-ce072156-f16c-4b3c-a1bb-61dfb13ebcac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  89.6,  89.2, ..., -89.2, -89.6, -90. ])</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'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.6 ... 179.2 179.6</div><input id='attrs-4edc5e2a-8a53-40cb-9500-90e3aa937d87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4edc5e2a-8a53-40cb-9500-90e3aa937d87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8ea440e-a7c1-4c4d-a79a-ca6da33e49e9' class='xr-var-data-in' type='checkbox'><label for='data-d8ea440e-a7c1-4c4d-a79a-ca6da33e49e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180. , -179.6, -179.2, ...,  178.8,  179.2,  179.6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-f4d66952-5af5-4e5f-99c0-1f8ccda72802' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4d66952-5af5-4e5f-99c0-1f8ccda72802' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5093f987-9534-4a96-b9b0-d3e044ef5052' class='xr-var-data-in' type='checkbox'><label for='data-5093f987-9534-4a96-b9b0-d3e044ef5052' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2d617517-191c-4e91-a253-9bd97924c0bb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2d617517-191c-4e91-a253-9bd97924c0bb' class='xr-section-summary' >Data variables: <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>u10</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.174 8.174 8.174 ... -5.998 -5.998</div><input id='attrs-de2e7587-8cb8-4f93-8fe5-c4c4f74fb165' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de2e7587-8cb8-4f93-8fe5-c4c4f74fb165' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30144bf3-8bf9-4d52-8d8e-d0be92610754' class='xr-var-data-in' type='checkbox'><label for='data-30144bf3-8bf9-4d52-8d8e-d0be92610754' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>165</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>eastward_wind</dd><dt><span>GRIB_cfVarName :</span></dt><dd>u10</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>10 metre U wind component</dd><dt><span>GRIB_parameterName :</span></dt><dd>u-component of wind </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>m/s</dd><dt><span>GRIB_shortName :</span></dt><dd>10u</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>long_name :</span></dt><dd>10 metre U wind component</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[ 8.17392  ,  8.17392  ,  8.17392  , ...,  8.17392  ,  8.17392  ,\n",
       "         8.17392  ],\n",
       "       [-2.4198303, -2.3729553, -2.3104553, ..., -2.5917053, -2.5292053,\n",
       "        -2.4823303],\n",
       "       [-2.3885803, -2.3260803, -2.2792053, ..., -2.5448303, -2.4823303,\n",
       "        -2.4354553],\n",
       "       ...,\n",
       "       [ 2.5332947,  2.5176697,  2.4864197, ...,  2.5957947,  2.5801697,\n",
       "         2.5645447],\n",
       "       [ 3.3145447,  3.2832947,  3.2676697, ...,  3.3770447,  3.3457947,\n",
       "         3.3301697],\n",
       "       [-5.9979553, -5.9979553, -5.9979553, ..., -5.9979553, -5.9979553,\n",
       "        -5.9979553]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v10</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.499 3.499 3.499 ... 3.733 3.733</div><input id='attrs-da1c6664-0206-4c79-af14-ce77b8051bda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da1c6664-0206-4c79-af14-ce77b8051bda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7587d80e-4c17-4957-bfdf-19cb375a89b9' class='xr-var-data-in' type='checkbox'><label for='data-7587d80e-4c17-4957-bfdf-19cb375a89b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>166</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>northward_wind</dd><dt><span>GRIB_cfVarName :</span></dt><dd>v10</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>10 metre V wind component</dd><dt><span>GRIB_parameterName :</span></dt><dd>v-component of wind </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>m/s</dd><dt><span>GRIB_shortName :</span></dt><dd>10v</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>long_name :</span></dt><dd>10 metre V wind component</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[3.498932, 3.498932, 3.498932, ..., 3.498932, 3.498932, 3.498932],\n",
       "       [8.202057, 8.217682, 8.217682, ..., 8.155182, 8.170807, 8.186432],\n",
       "       [7.373932, 7.373932, 7.389557, ..., 7.358307, 7.373932, 7.373932],\n",
       "       ...,\n",
       "       [5.873932, 5.889557, 5.905182, ..., 5.795807, 5.827057, 5.842682],\n",
       "       [5.202057, 5.217682, 5.233307, ..., 5.139557, 5.155182, 5.170807],\n",
       "       [3.733307, 3.733307, 3.733307, ..., 3.733307, 3.733307, 3.733307]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gribfile_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-fa2fa892-e667-4c9e-8ffe-113b8185e4a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa2fa892-e667-4c9e-8ffe-113b8185e4a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5927fe3-9331-4eee-a5ba-028b60b51c5e' class='xr-var-data-in' type='checkbox'><label for='data-c5927fe3-9331-4eee-a5ba-028b60b51c5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCRS[&quot;unknown&quot;,DATUM[&quot;unknown&quot;,ELLIPSOID[&quot;unknown&quot;,6371229,0,LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8901]],CS[ellipsoidal,2],AXIS[&quot;longitude&quot;,east,ORDER[1],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]],AXIS[&quot;latitude&quot;,north,ORDER[2],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>unknown</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>long_name :</span></dt><dd>ECMWF model grid projection</dd></dl></div><div class='xr-var-data'><pre>array(None, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spd</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>8.891 8.891 8.891 ... 7.065 7.065</div><input id='attrs-0cf34896-f7f4-4e49-b731-6a1c437c7272' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cf34896-f7f4-4e49-b731-6a1c437c7272' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d66f284-843c-4489-84f1-179cad1e29dd' class='xr-var-data-in' type='checkbox'><label for='data-8d66f284-843c-4489-84f1-179cad1e29dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>165</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>eastward_wind</dd><dt><span>GRIB_cfVarName :</span></dt><dd>u10</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>10 m Wind Speed</dd><dt><span>GRIB_parameterName :</span></dt><dd>u-component of wind </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>m/s</dd><dt><span>GRIB_shortName :</span></dt><dd>10u</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>long_name :</span></dt><dd>10 m wind speed</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[8.891315 , 8.891315 , 8.891315 , ..., 8.891315 , 8.891315 ,\n",
       "        8.891315 ],\n",
       "       [8.551568 , 8.553433 , 8.536304 , ..., 8.557097 , 8.553302 ,\n",
       "        8.554509 ],\n",
       "       [7.751141 , 7.7321095, 7.7330675, ..., 7.7859387, 7.780542 ,\n",
       "        7.7657137],\n",
       "       ...,\n",
       "       [6.3969254, 6.4051185, 6.407297 , ..., 6.3505535, 6.372744 ,\n",
       "        6.3807383],\n",
       "       [6.1682734, 6.164757 , 6.1696973, ..., 6.149754 , 6.14575  ,\n",
       "        6.1503882],\n",
       "       [7.0649166, 7.0649166, 7.0649166, ..., 7.0649166, 7.0649166,\n",
       "        7.0649166]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f5c824e0-dbeb-4ff6-84fd-1e079416851b' class='xr-section-summary-in' type='checkbox'  ><label for='section-f5c824e0-dbeb-4ff6-84fd-1e079416851b' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>model :</span></dt><dd>ecmwf</dd><dt><span>product :</span></dt><dd>oper</dd><dt><span>description :</span></dt><dd>ECMWF open data</dd><dt><span>remote_grib :</span></dt><dd>/p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-0h-oper-fc.grib2</dd><dt><span>local_grib :</span></dt><dd>/p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-0h-oper-fc.grib2.subset_6681631d8ba1b2355502861b4f00e4979ba453ce</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    heightAboveGround    float64 10.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26\n",
       "Data variables:\n",
       "    u10                  (latitude, longitude) float32 8.174 8.174 ... -5.998\n",
       "    v10                  (latitude, longitude) float32 3.499 3.499 ... 3.733\n",
       "    gribfile_projection  object None\n",
       "    spd                  (latitude, longitude) float32 8.891 8.891 ... 7.065\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 oper\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000..."
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H = Herbie(\"2022-01-26\", model=\"ecmwf\", product=\"oper\")\n",
    "\n",
    "# Get u and v wind component\n",
    "ds = H.xarray(\":10(u|v):\")\n",
    "\n",
    "# Compute the wind speed\n",
    "ds[\"spd\"] = np.sqrt(ds[\"u10\"] ** 2 + ds[\"v10\"] ** 2)\n",
    "# wihtout too much thought, just quickly copy attributes\n",
    "ds[\"spd\"].attrs = ds[\"u10\"].attrs.copy()\n",
    "ds[\"spd\"].attrs[\"standard_name\"] = \"wind_speed\"\n",
    "ds[\"spd\"].attrs[\"long_name\"] = \"10 m wind speed\"\n",
    "ds[\"spd\"].attrs[\"GRIB_name\"] = \"10 m Wind Speed\"\n",
    "\n",
    "\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "6f53f49d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/p/home/blaylock/anaconda3/envs/herbie/lib/python3.9/site-packages/metpy/xarray.py:349: UserWarning: More than one time coordinate present for variable \"gribfile_projection\".\n",
      "  warnings.warn('More than one ' + axis + ' coordinate present for variable'\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(1.0, 1.0, '10 m Wind Speed')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = common_features(\"50m\", crs=ds.herbie.crs, figsize=[10, 10]).STATES().BORDERS().ax\n",
    "p = ax.pcolormesh(\n",
    "    ds.longitude, ds.latitude, ds.spd, transform=pc, **cm_wind().cmap_kwargs\n",
    ")\n",
    "plt.colorbar(p, ax=ax, orientation=\"horizontal\", pad=0.05, **cm_wind().cbar_kwargs)\n",
    "\n",
    "ax.set_title(\n",
    "    f\"{ds.model.upper()}: {H.product_description}\\nValid: {ds.valid_time.dt.strftime('%H:%M UTC %d %b %Y').item()}\",\n",
    "    loc=\"left\",\n",
    ")\n",
    "ax.set_title(ds.spd.GRIB_name, loc=\"right\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3cc4e8b7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/p/home/blaylock/BB_python/Herbie/herbie/archive.py:683: UserWarning: This pattern has match groups. To actually get the groups, use str.extract.\n",
      "  logic = df.search_this.str.contains(searchString)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📇 Download subset: [ECMWF] model [oper] product run at \u001b[32m2022-Jan-26 00:00 UTC F00\u001b[m                                                            \n",
      " cURL from file:///p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-0h-oper-fc.grib2\n",
      "   1: GRIB_message=29  \u001b[34m:gh:500:pl:g:0001:od:fc:oper\u001b[m\n",
      "   2: GRIB_message=48  \u001b[34m:q:500:pl:g:0001:od:fc:oper\u001b[m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/p/home/blaylock/BB_python/Herbie/herbie/archive.py:683: UserWarning: This pattern has match groups. To actually get the groups, use str.extract.\n",
      "  logic = df.search_this.str.contains(searchString)\n"
     ]
    },
    {
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       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    isobaricInhPa        float64 500.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26\n",
       "Data variables:\n",
       "    q                    (latitude, longitude) float32 6.679e-05 ... 0.0001641\n",
       "    gh                   (latitude, longitude) float32 5.029e+03 ... 5.136e+03\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 oper\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...</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-941e2bba-b483-4fcf-83c6-c48b73b7b005' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-941e2bba-b483-4fcf-83c6-c48b73b7b005' 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'>latitude</span>: 451</li><li><span class='xr-has-index'>longitude</span>: 900</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-20da66ff-b07d-4c59-a05b-02aaa412e1e9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-20da66ff-b07d-4c59-a05b-02aaa412e1e9' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-dd4ae9ac-ae7f-4053-a564-eb9a4d05f9aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd4ae9ac-ae7f-4053-a564-eb9a4d05f9aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e7f180c-25d7-423c-806a-51bdf9052cab' class='xr-var-data-in' type='checkbox'><label for='data-3e7f180c-25d7-423c-806a-51bdf9052cab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00</div><input id='attrs-3c15bab5-94c4-4f86-aa7f-cf4c624d2b7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c15bab5-94c4-4f86-aa7f-cf4c624d2b7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98c7fdaf-39b7-4cf3-9fd6-1f2027ba5618' class='xr-var-data-in' type='checkbox'><label for='data-98c7fdaf-39b7-4cf3-9fd6-1f2027ba5618' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>500.0</div><input id='attrs-279fdc27-17e2-481e-9e40-e6ac05705025' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-279fdc27-17e2-481e-9e40-e6ac05705025' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d48eb5d8-24cb-4b6e-8135-159eb8c5a858' class='xr-var-data-in' type='checkbox'><label for='data-d48eb5d8-24cb-4b6e-8135-159eb8c5a858' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array(500.)</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.6 89.2 ... -89.6 -90.0</div><input id='attrs-466c039a-1a6f-4613-aec5-c798a4f2790f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-466c039a-1a6f-4613-aec5-c798a4f2790f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6f742d5-3e67-489c-bffb-173f58598090' class='xr-var-data-in' type='checkbox'><label for='data-d6f742d5-3e67-489c-bffb-173f58598090' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  89.6,  89.2, ..., -89.2, -89.6, -90. ])</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'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.6 ... 179.2 179.6</div><input id='attrs-2878ce57-221e-4e3a-9278-d0b5c2c66864' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2878ce57-221e-4e3a-9278-d0b5c2c66864' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5403c184-ae6e-47c0-823a-96acd173351f' class='xr-var-data-in' type='checkbox'><label for='data-5403c184-ae6e-47c0-823a-96acd173351f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180. , -179.6, -179.2, ...,  178.8,  179.2,  179.6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-0e40b190-a44a-4e1e-ad6f-98d7a177188d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e40b190-a44a-4e1e-ad6f-98d7a177188d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61ae5b14-6f0c-4373-a0ec-7d4d007a71f4' class='xr-var-data-in' type='checkbox'><label for='data-61ae5b14-6f0c-4373-a0ec-7d4d007a71f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-242c5ee0-0ab3-4e7f-8281-21117ae7be48' class='xr-section-summary-in' type='checkbox'  checked><label for='section-242c5ee0-0ab3-4e7f-8281-21117ae7be48' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>q</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.679e-05 6.679e-05 ... 0.0001641</div><input id='attrs-fb7bded2-f6bc-4267-ac99-e1e78624aa57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb7bded2-f6bc-4267-ac99-e1e78624aa57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f608d284-ac01-40d1-adb3-7c03c3c4f31f' class='xr-var-data-in' type='checkbox'><label for='data-f608d284-ac01-40d1-adb3-7c03c3c4f31f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>133</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>specific_humidity</dd><dt><span>GRIB_cfVarName :</span></dt><dd>q</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Specific humidity</dd><dt><span>GRIB_parameterName :</span></dt><dd>Specific humidity </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>kg/kg</dd><dt><span>GRIB_shortName :</span></dt><dd>q</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>kg kg**-1</dd><dt><span>long_name :</span></dt><dd>Specific humidity</dd><dt><span>units :</span></dt><dd>kg kg**-1</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[6.6785768e-05, 6.6785768e-05, 6.6785768e-05, ..., 6.6785768e-05,\n",
       "        6.6785768e-05, 6.6785768e-05],\n",
       "       [1.6406055e-04, 1.6406055e-04, 1.6596790e-04, ..., 1.6215320e-04,\n",
       "        1.6215320e-04, 1.6406055e-04],\n",
       "       [1.7550464e-04, 1.7359729e-04, 1.7359729e-04, ..., 1.7741199e-04,\n",
       "        1.7741199e-04, 1.7550464e-04],\n",
       "       ...,\n",
       "       [2.0792957e-04, 2.0792957e-04, 2.0983692e-04, ..., 2.0792957e-04,\n",
       "        2.0792957e-04, 2.0792957e-04],\n",
       "       [1.5261646e-04, 1.5261646e-04, 1.5452380e-04, ..., 1.5070911e-04,\n",
       "        1.5070911e-04, 1.5070911e-04],\n",
       "       [1.6406055e-04, 1.6406055e-04, 1.6406055e-04, ..., 1.6406055e-04,\n",
       "        1.6406055e-04, 1.6406055e-04]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gh</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.029e+03 5.029e+03 ... 5.136e+03</div><input id='attrs-e44808c5-b130-43cb-98ff-6aaf0c877dd7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e44808c5-b130-43cb-98ff-6aaf0c877dd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-faba37bf-644e-47da-87c1-6237093dc8a8' class='xr-var-data-in' type='checkbox'><label for='data-faba37bf-644e-47da-87c1-6237093dc8a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>156</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>geopotential_height</dd><dt><span>GRIB_cfVarName :</span></dt><dd>gh</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Geopotential Height</dd><dt><span>GRIB_parameterName :</span></dt><dd>Geopotential height </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>gpm</dd><dt><span>GRIB_shortName :</span></dt><dd>gh</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>gpm</dd><dt><span>long_name :</span></dt><dd>Geopotential Height</dd><dt><span>units :</span></dt><dd>gpm</dd><dt><span>standard_name :</span></dt><dd>geopotential_height</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[5029.3477, 5029.3477, 5029.3477, ..., 5029.3477, 5029.3477,\n",
       "        5029.3477],\n",
       "       [5038.3477, 5038.3477, 5038.3477, ..., 5038.3477, 5038.3477,\n",
       "        5038.3477],\n",
       "       [5043.3477, 5043.3477, 5043.3477, ..., 5042.8477, 5042.8477,\n",
       "        5043.3477],\n",
       "       ...,\n",
       "       [5133.8477, 5133.8477, 5133.8477, ..., 5134.3477, 5134.3477,\n",
       "        5133.8477],\n",
       "       [5134.3477, 5134.3477, 5134.3477, ..., 5134.8477, 5134.8477,\n",
       "        5134.8477],\n",
       "       [5135.8477, 5135.8477, 5135.8477, ..., 5135.8477, 5135.8477,\n",
       "        5135.8477]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gribfile_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-beefa907-981f-4495-ba17-eb46206af6aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-beefa907-981f-4495-ba17-eb46206af6aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-220b22d8-d969-4bed-9715-045e0fe30fbc' class='xr-var-data-in' type='checkbox'><label for='data-220b22d8-d969-4bed-9715-045e0fe30fbc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCRS[&quot;unknown&quot;,DATUM[&quot;unknown&quot;,ELLIPSOID[&quot;unknown&quot;,6371229,0,LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8901]],CS[ellipsoidal,2],AXIS[&quot;longitude&quot;,east,ORDER[1],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]],AXIS[&quot;latitude&quot;,north,ORDER[2],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>unknown</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>long_name :</span></dt><dd>ECMWF model grid projection</dd></dl></div><div class='xr-var-data'><pre>array(None, dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b9c16325-bc67-4452-88f0-ebebd11ddd4e' class='xr-section-summary-in' type='checkbox'  ><label for='section-b9c16325-bc67-4452-88f0-ebebd11ddd4e' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>model :</span></dt><dd>ecmwf</dd><dt><span>product :</span></dt><dd>oper</dd><dt><span>description :</span></dt><dd>ECMWF open data</dd><dt><span>remote_grib :</span></dt><dd>/p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-0h-oper-fc.grib2</dd><dt><span>local_grib :</span></dt><dd>/p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-0h-oper-fc.grib2.subset_75fa6c2d553e8443e8d56e82c3f2a3b6b3527e95</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    isobaricInhPa        float64 500.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26\n",
       "Data variables:\n",
       "    q                    (latitude, longitude) float32 6.679e-05 ... 0.0001641\n",
       "    gh                   (latitude, longitude) float32 5.029e+03 ... 5.136e+03\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 oper\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000..."
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get 500 hPa specific humidity and geopotential height\n",
    "ds = H.xarray(\":(q|gh):500\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "303034d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(1.0, 1.0, '500.0 hPa\\nSpecific humidity/Geopotential Height')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = common_features(\"50m\", crs=ccrs.Robinson(), figsize=[10, 10]).STATES().BORDERS().ax\n",
    "\n",
    "# Color shade by specific humidity\n",
    "p = ax.pcolormesh(ds.longitude, ds.latitude, ds.q, transform=pc, cmap=\"Greens\")\n",
    "\n",
    "plt.colorbar(\n",
    "    p,\n",
    "    ax=ax,\n",
    "    orientation=\"horizontal\",\n",
    "    pad=0.05,\n",
    "    label=f\"{ds.q.GRIB_name} ({ds.q.units})\",\n",
    ")\n",
    "\n",
    "# Contours for geopotential height\n",
    "ax.contour(\n",
    "    ds.longitude,\n",
    "    ds.latitude,\n",
    "    ds.gh,\n",
    "    transform=pc,\n",
    "    colors=\"k\",\n",
    "    linewidths=0.5,\n",
    "    levels=range(0, 10_000, 60 * 2),\n",
    ")\n",
    "\n",
    "\n",
    "ax.set_title(\n",
    "    f\"{ds.model.upper()}: {H.product_description}\\nValid: {ds.valid_time.dt.strftime('%H:%M UTC %d %b %Y').item()}\",\n",
    "    loc=\"left\",\n",
    ")\n",
    "ax.set_title(\n",
    "    f\"{ds.isobaricInhPa.item()} {ds.isobaricInhPa.units}\\n{ds.q.GRIB_name}/{ds.gh.GRIB_name}\",\n",
    "    loc=\"right\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77fae02c",
   "metadata": {},
   "source": [
    "## ECMWF Wave Output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d5f1a294",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🏋🏻‍♂️ Found \u001b[32m2022-Jan-26 00:00 UTC F00\u001b[m [ECMWF] [product=wave] GRIB2 file from \u001b[31mazure\u001b[m and index file from \u001b[31mazure\u001b[m.                                                                                                                                                       \n"
     ]
    }
   ],
   "source": [
    "H = Herbie(\"2022-01-26 00:00\", model=\"ecmwf\", product=\"wave\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "eb4029c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Success! Downloaded ECMWF from \u001b[38;5;202mazure               \u001b[m\n",
      "\tsrc: https://ai4edataeuwest.blob.core.windows.net/ecmwf/20220126/00z/0p4-beta/wave/20220126000000-0h-wave-fc.grib2\n",
      "\tdst: /p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-0h-wave-fc.grib2\n"
     ]
    }
   ],
   "source": [
    "ds = H.xarray(None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0cdb9cd7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    meanSea              float64 0.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26\n",
       "Data variables:\n",
       "    mp2                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    swh                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    mwd                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    pp1d                 (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    mwp                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 wave\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...</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-d1514d14-9959-42ef-ae80-17c5d6871ed6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d1514d14-9959-42ef-ae80-17c5d6871ed6' 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'>latitude</span>: 451</li><li><span class='xr-has-index'>longitude</span>: 900</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-17ae997b-488d-4e00-b39b-458ec76c1386' class='xr-section-summary-in' type='checkbox'  checked><label for='section-17ae997b-488d-4e00-b39b-458ec76c1386' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-fa29d314-442d-4082-b274-45fc777aa9bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa29d314-442d-4082-b274-45fc777aa9bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9d9c0ef-50fb-4f75-8fa7-1e66d1b6ad79' class='xr-var-data-in' type='checkbox'><label for='data-b9d9c0ef-50fb-4f75-8fa7-1e66d1b6ad79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00</div><input id='attrs-b5d2da45-2a6e-47e1-872c-d5f87fe17b10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5d2da45-2a6e-47e1-872c-d5f87fe17b10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-442229c1-4f3c-4ea3-a63a-86b0e26e6048' class='xr-var-data-in' type='checkbox'><label for='data-442229c1-4f3c-4ea3-a63a-86b0e26e6048' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>meanSea</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-17508f47-4088-42a4-9044-1bb48388ad8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17508f47-4088-42a4-9044-1bb48388ad8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd5179a8-c9b5-443f-b772-5a2078ed947b' class='xr-var-data-in' type='checkbox'><label for='data-dd5179a8-c9b5-443f-b772-5a2078ed947b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(meanSea)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.6 89.2 ... -89.6 -90.0</div><input id='attrs-eac3c1ca-8642-4a17-904a-0bfc408aabc4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eac3c1ca-8642-4a17-904a-0bfc408aabc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4de187e8-b0c2-4ea6-92c3-4c6170de9e42' class='xr-var-data-in' type='checkbox'><label for='data-4de187e8-b0c2-4ea6-92c3-4c6170de9e42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  89.6,  89.2, ..., -89.2, -89.6, -90. ])</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'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.6 ... 179.2 179.6</div><input id='attrs-7f65a8e7-8f2a-485e-92b6-3115ead1bc2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f65a8e7-8f2a-485e-92b6-3115ead1bc2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efe3ef73-32c6-4c13-8754-2614688b0d3a' class='xr-var-data-in' type='checkbox'><label for='data-efe3ef73-32c6-4c13-8754-2614688b0d3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180. , -179.6, -179.2, ...,  178.8,  179.2,  179.6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-85ea7552-b8b5-48d9-a8dd-7c42162ab2a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85ea7552-b8b5-48d9-a8dd-7c42162ab2a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-325fa5a7-1bc3-4670-8235-6c5915c10fa0' class='xr-var-data-in' type='checkbox'><label for='data-325fa5a7-1bc3-4670-8235-6c5915c10fa0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0f58f0a6-4fd5-446c-83f9-4d270d997420' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0f58f0a6-4fd5-446c-83f9-4d270d997420' class='xr-section-summary' >Data variables: <span>(6)</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>mp2</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0ec090ea-e1b5-4dde-8c87-988bac76bc4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ec090ea-e1b5-4dde-8c87-988bac76bc4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65232155-8922-48d9-9bc2-a43f14b56f1b' class='xr-var-data-in' type='checkbox'><label for='data-65232155-8922-48d9-9bc2-a43f14b56f1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140221</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>mp2</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Mean zero-crossing wave period</dd><dt><span>GRIB_parameterName :</span></dt><dd>Mean zero-crossing wave period </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>s</dd><dt><span>GRIB_shortName :</span></dt><dd>mp2</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>s</dd><dt><span>long_name :</span></dt><dd>Mean zero-crossing wave period</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-66976d4b-a403-4ef8-bd8d-282cf377e924' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66976d4b-a403-4ef8-bd8d-282cf377e924' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6a47374-a3b9-48f4-a08a-ae1c1872ace2' class='xr-var-data-in' type='checkbox'><label for='data-a6a47374-a3b9-48f4-a08a-ae1c1872ace2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140229</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>swh</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Significant height of combined wind waves and swell</dd><dt><span>GRIB_parameterName :</span></dt><dd>Significant height of combined wind waves and swell </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>m</dd><dt><span>GRIB_shortName :</span></dt><dd>swh</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Significant height of combined wind waves and swell</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mwd</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-f4ba392a-0d8b-423f-8b3b-91a831348668' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4ba392a-0d8b-423f-8b3b-91a831348668' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-577476ce-40de-4fd1-9f44-5c5408aefe56' class='xr-var-data-in' type='checkbox'><label for='data-577476ce-40de-4fd1-9f44-5c5408aefe56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140230</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>mwd</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Mean wave direction</dd><dt><span>GRIB_parameterName :</span></dt><dd>Mean direction of combined wind waves and swell </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>degree true</dd><dt><span>GRIB_shortName :</span></dt><dd>mwd</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>Degree true</dd><dt><span>long_name :</span></dt><dd>Mean wave direction</dd><dt><span>units :</span></dt><dd>Degree true</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pp1d</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0b8ac53a-2b64-4c9b-8492-ec9c114e888c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b8ac53a-2b64-4c9b-8492-ec9c114e888c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2e2da90-f490-4d15-b4e2-1ed04f688f9e' class='xr-var-data-in' type='checkbox'><label for='data-a2e2da90-f490-4d15-b4e2-1ed04f688f9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140231</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>pp1d</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Peak wave period</dd><dt><span>GRIB_parameterName :</span></dt><dd>Peak wave period </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>s</dd><dt><span>GRIB_shortName :</span></dt><dd>pp1d</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>s</dd><dt><span>long_name :</span></dt><dd>Peak wave period</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mwp</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-1c4871ee-88f4-435f-8daa-6ae22bd8bf40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c4871ee-88f4-435f-8daa-6ae22bd8bf40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-362f6088-937a-481b-bbf9-e152656665a3' class='xr-var-data-in' type='checkbox'><label for='data-362f6088-937a-481b-bbf9-e152656665a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140232</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>mwp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Mean wave period</dd><dt><span>GRIB_parameterName :</span></dt><dd>Mean period of combined wind waves and swell </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>s</dd><dt><span>GRIB_shortName :</span></dt><dd>mwp</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>s</dd><dt><span>long_name :</span></dt><dd>Mean wave period</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gribfile_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-a2268f92-b6f5-4d0c-bc48-496576ab3610' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2268f92-b6f5-4d0c-bc48-496576ab3610' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65aac755-ae60-493a-a6bc-8c91c0931735' class='xr-var-data-in' type='checkbox'><label for='data-65aac755-ae60-493a-a6bc-8c91c0931735' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCRS[&quot;unknown&quot;,DATUM[&quot;unknown&quot;,ELLIPSOID[&quot;unknown&quot;,6371229,0,LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8901]],CS[ellipsoidal,2],AXIS[&quot;longitude&quot;,east,ORDER[1],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]],AXIS[&quot;latitude&quot;,north,ORDER[2],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>unknown</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>long_name :</span></dt><dd>ECMWF model grid projection</dd></dl></div><div class='xr-var-data'><pre>array(None, dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db968ba6-5737-4080-b6ef-537b85dc87ee' class='xr-section-summary-in' type='checkbox'  ><label for='section-db968ba6-5737-4080-b6ef-537b85dc87ee' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>model :</span></dt><dd>ecmwf</dd><dt><span>product :</span></dt><dd>wave</dd><dt><span>description :</span></dt><dd>ECMWF open data</dd><dt><span>remote_grib :</span></dt><dd>https://ai4edataeuwest.blob.core.windows.net/ecmwf/20220126/00z/0p4-beta/wave/20220126000000-0h-wave-fc.grib2</dd><dt><span>local_grib :</span></dt><dd>/p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-0h-wave-fc.grib2</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    meanSea              float64 0.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26\n",
       "Data variables:\n",
       "    mp2                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    swh                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    mwd                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    pp1d                 (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    mwp                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 wave\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "48d9455d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/p/home/blaylock/anaconda3/envs/herbie/lib/python3.9/site-packages/metpy/xarray.py:349: UserWarning: More than one time coordinate present for variable \"gribfile_projection\".\n",
      "  warnings.warn('More than one ' + axis + ' coordinate present for variable'\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(1.0, 1.0, 'Significant height of combined wind waves and swell')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = common_features(\"50m\", crs=ds.herbie.crs, figsize=[10, 10]).STATES().BORDERS().ax\n",
    "p = ax.pcolormesh(\n",
    "    ds.longitude,\n",
    "    ds.latitude,\n",
    "    ds.swh,\n",
    "    transform=pc,\n",
    "    **cm_wave_height(units=\"m\").cmap_kwargs,\n",
    ")\n",
    "plt.colorbar(\n",
    "    p,\n",
    "    ax=ax,\n",
    "    orientation=\"horizontal\",\n",
    "    pad=0.05,\n",
    "    **cm_wave_height(units=\"m\").cbar_kwargs,\n",
    ")\n",
    "\n",
    "ax.set_title(\n",
    "    f\"{ds.model.upper()}: {H.product_description}\\nValid: {ds.valid_time.dt.strftime('%H:%M UTC %d %b %Y').item()}\",\n",
    "    loc=\"left\",\n",
    ")\n",
    "ax.set_title(ds.swh.GRIB_name, loc=\"right\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3eba2ac4",
   "metadata": {},
   "source": [
    "## Ensemble Forecast Products"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8e295fb2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🏋🏻‍♂️ Found \u001b[32m2022-Jan-26 00:00 UTC F00\u001b[m [ECMWF] [product=enfo] GRIB2 file from \u001b[31mazure\u001b[m and index file from \u001b[31mazure\u001b[m.                                                                                                                                                       \n",
      "📇 Download subset: [ECMWF] model [enfo] product run at \u001b[32m2022-Jan-26 00:00 UTC F00\u001b[m                                                            \n",
      " cURL from https://ai4edataeuwest.blob.core.windows.net/ecmwf/20220126/00z/0p4-beta/enfo/20220126000000-0h-enfo-ef.grib2\n",
      "   1: GRIB_message=1   \u001b[34m:2t:sfc:29:g:0001:od:pf:enfo\u001b[m\n",
      "   2: GRIB_message=4   \u001b[34m:2t:sfc:2:g:0001:od:pf:enfo\u001b[m\n",
      "   3: GRIB_message=20  \u001b[34m:2t:sfc:19:g:0001:od:pf:enfo\u001b[m\n",
      "   4: GRIB_message=39  \u001b[34m:2t:sfc:38:g:0001:od:pf:enfo\u001b[m\n",
      "   5: GRIB_message=45  \u001b[34m:2t:sfc:22:g:0001:od:pf:enfo\u001b[m\n",
      "   6: GRIB_message=52  \u001b[34m:2t:sfc:12:g:0001:od:pf:enfo\u001b[m\n",
      "   7: GRIB_message=53  \u001b[34m:2t:sfc:14:g:0001:od:pf:enfo\u001b[m\n",
      "   8: GRIB_message=55  \u001b[34m:2t:sfc:7:g:0001:od:pf:enfo\u001b[m\n",
      "   9: GRIB_message=58  \u001b[34m:2t:sfc:39:g:0001:od:pf:enfo\u001b[m\n",
      "  10: GRIB_message=60  \u001b[34m:2t:sfc:16:g:0001:od:pf:enfo\u001b[m\n",
      "  11: GRIB_message=65  \u001b[34m:2t:sfc:13:g:0001:od:pf:enfo\u001b[m\n",
      "  12: GRIB_message=68  \u001b[34m:2t:sfc:35:g:0001:od:pf:enfo\u001b[m\n",
      "  13: GRIB_message=69  \u001b[34m:2t:sfc:g:0001:od:cf:enfo\u001b[m\n",
      "  14: GRIB_message=73  \u001b[34m:2t:sfc:32:g:0001:od:pf:enfo\u001b[m\n",
      "  15: GRIB_message=74  \u001b[34m:2t:sfc:9:g:0001:od:pf:enfo\u001b[m\n",
      "  16: GRIB_message=75  \u001b[34m:2t:sfc:28:g:0001:od:pf:enfo\u001b[m\n",
      "  17: GRIB_message=77  \u001b[34m:2t:sfc:11:g:0001:od:pf:enfo\u001b[m\n",
      "  18: GRIB_message=83  \u001b[34m:2t:sfc:26:g:0001:od:pf:enfo\u001b[m\n",
      "  19: GRIB_message=85  \u001b[34m:2t:sfc:49:g:0001:od:pf:enfo\u001b[m\n",
      "  20: GRIB_message=87  \u001b[34m:2t:sfc:27:g:0001:od:pf:enfo\u001b[m\n",
      "  21: GRIB_message=88  \u001b[34m:2t:sfc:8:g:0001:od:pf:enfo\u001b[m\n",
      "  22: GRIB_message=95  \u001b[34m:2t:sfc:4:g:0001:od:pf:enfo\u001b[m\n",
      "  23: GRIB_message=96  \u001b[34m:2t:sfc:48:g:0001:od:pf:enfo\u001b[m\n",
      "  24: GRIB_message=97  \u001b[34m:2t:sfc:18:g:0001:od:pf:enfo\u001b[m\n",
      "  25: GRIB_message=99  \u001b[34m:2t:sfc:23:g:0001:od:pf:enfo\u001b[m\n",
      "  26: GRIB_message=100 \u001b[34m:2t:sfc:45:g:0001:od:pf:enfo\u001b[m\n",
      "  27: GRIB_message=113 \u001b[34m:2t:sfc:50:g:0001:od:pf:enfo\u001b[m\n",
      "  28: GRIB_message=117 \u001b[34m:2t:sfc:33:g:0001:od:pf:enfo\u001b[m\n",
      "  29: GRIB_message=119 \u001b[34m:2t:sfc:42:g:0001:od:pf:enfo\u001b[m\n",
      "  30: GRIB_message=120 \u001b[34m:2t:sfc:44:g:0001:od:pf:enfo\u001b[m\n",
      "  31: GRIB_message=122 \u001b[34m:2t:sfc:36:g:0001:od:pf:enfo\u001b[m\n",
      "  32: GRIB_message=123 \u001b[34m:2t:sfc:30:g:0001:od:pf:enfo\u001b[m\n",
      "  33: GRIB_message=124 \u001b[34m:2t:sfc:25:g:0001:od:pf:enfo\u001b[m\n",
      "  34: GRIB_message=128 \u001b[34m:2t:sfc:43:g:0001:od:pf:enfo\u001b[m\n",
      "  35: GRIB_message=131 \u001b[34m:2t:sfc:15:g:0001:od:pf:enfo\u001b[m\n",
      "  36: GRIB_message=135 \u001b[34m:2t:sfc:3:g:0001:od:pf:enfo\u001b[m\n",
      "  37: GRIB_message=136 \u001b[34m:2t:sfc:17:g:0001:od:pf:enfo\u001b[m\n",
      "  38: GRIB_message=140 \u001b[34m:2t:sfc:31:g:0001:od:pf:enfo\u001b[m\n",
      "  39: GRIB_message=142 \u001b[34m:2t:sfc:24:g:0001:od:pf:enfo\u001b[m\n",
      "  40: GRIB_message=143 \u001b[34m:2t:sfc:20:g:0001:od:pf:enfo\u001b[m\n",
      "  41: GRIB_message=144 \u001b[34m:2t:sfc:34:g:0001:od:pf:enfo\u001b[m\n",
      "  42: GRIB_message=145 \u001b[34m:2t:sfc:47:g:0001:od:pf:enfo\u001b[m\n",
      "  43: GRIB_message=146 \u001b[34m:2t:sfc:46:g:0001:od:pf:enfo\u001b[m\n",
      "  44: GRIB_message=149 \u001b[34m:2t:sfc:40:g:0001:od:pf:enfo\u001b[m\n",
      "  45: GRIB_message=150 \u001b[34m:2t:sfc:37:g:0001:od:pf:enfo\u001b[m\n",
      "  46: GRIB_message=151 \u001b[34m:2t:sfc:21:g:0001:od:pf:enfo\u001b[m\n",
      "  47: GRIB_message=152 \u001b[34m:2t:sfc:5:g:0001:od:pf:enfo\u001b[m\n",
      "  48: GRIB_message=153 \u001b[34m:2t:sfc:1:g:0001:od:pf:enfo\u001b[m\n",
      "  49: GRIB_message=154 \u001b[34m:2t:sfc:10:g:0001:od:pf:enfo\u001b[m\n",
      "  50: GRIB_message=155 \u001b[34m:2t:sfc:41:g:0001:od:pf:enfo\u001b[m\n",
      "  51: GRIB_message=156 \u001b[34m:2t:sfc:6:g:0001:od:pf:enfo\u001b[m\n",
      "Note: Returning a list of [2] xarray.Datasets because of multiple hypercubes.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<xarray.Dataset>\n",
       " Dimensions:              (number: 50, latitude: 451, longitude: 900)\n",
       " Coordinates:\n",
       "   * number               (number) int64 1 2 3 4 5 6 7 8 ... 44 45 46 47 48 49 50\n",
       "     time                 datetime64[ns] 2022-01-26\n",
       "     step                 timedelta64[ns] 00:00:00\n",
       "     heightAboveGround    float64 2.0\n",
       "   * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "   * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "     valid_time           datetime64[ns] 2022-01-26\n",
       " Data variables:\n",
       "     t2m                  (number, latitude, longitude) float32 246.5 ... 246.2\n",
       "     gribfile_projection  object None\n",
       " Attributes:\n",
       "     GRIB_edition:            2\n",
       "     GRIB_centre:             ecmf\n",
       "     GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "     GRIB_subCentre:          0\n",
       "     Conventions:             CF-1.7\n",
       "     institution:             European Centre for Medium-Range Weather Forecasts\n",
       "     model:                   ecmwf\n",
       "     product:                 enfo\n",
       "     description:             ECMWF open data\n",
       "     remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "     local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...,\n",
       " <xarray.Dataset>\n",
       " Dimensions:              (latitude: 451, longitude: 900)\n",
       " Coordinates:\n",
       "     number               int64 0\n",
       "     time                 datetime64[ns] 2022-01-26\n",
       "     step                 timedelta64[ns] 00:00:00\n",
       "     heightAboveGround    float64 2.0\n",
       "   * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "   * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "     valid_time           datetime64[ns] 2022-01-26\n",
       " Data variables:\n",
       "     t2m                  (latitude, longitude) float32 246.2 246.2 ... 246.3\n",
       "     gribfile_projection  object None\n",
       " Attributes:\n",
       "     GRIB_edition:            2\n",
       "     GRIB_centre:             ecmf\n",
       "     GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "     GRIB_subCentre:          0\n",
       "     Conventions:             CF-1.7\n",
       "     institution:             European Centre for Medium-Range Weather Forecasts\n",
       "     model:                   ecmwf\n",
       "     product:                 enfo\n",
       "     description:             ECMWF open data\n",
       "     remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "     local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H = Herbie(\"2022-01-26 00:00\", model=\"ecmwf\", product=\"enfo\")\n",
    "ds = H.xarray(\":2t:\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2d79ecb7",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (number: 50, latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "  * number               (number) int64 1 2 3 4 5 6 7 8 ... 44 45 46 47 48 49 50\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    heightAboveGround    float64 2.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26\n",
       "Data variables:\n",
       "    t2m                  (number, latitude, longitude) float32 246.5 ... 246.2\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 enfo\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...</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-caf36ea8-5fcf-4c3b-bcc5-b6e993c69410' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-caf36ea8-5fcf-4c3b-bcc5-b6e993c69410' 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'>number</span>: 50</li><li><span class='xr-has-index'>latitude</span>: 451</li><li><span class='xr-has-index'>longitude</span>: 900</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-abcb9319-f6ce-4edc-ac55-fdf2b078bff6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-abcb9319-f6ce-4edc-ac55-fdf2b078bff6' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>number</span></div><div class='xr-var-dims'>(number)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 45 46 47 48 49 50</div><input id='attrs-ca6a43ee-8a06-47d2-81fe-f3aacf7a85c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca6a43ee-8a06-47d2-81fe-f3aacf7a85c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29a542e9-d620-47f8-922d-e433b5204102' class='xr-var-data-in' type='checkbox'><label for='data-29a542e9-d620-47f8-922d-e433b5204102' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n",
       "       19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,\n",
       "       37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-e1bb8c5d-72dd-422a-85e4-8bb42b7e9b33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1bb8c5d-72dd-422a-85e4-8bb42b7e9b33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b3eed50-38f6-4cbd-b94b-9d4c052a938f' class='xr-var-data-in' type='checkbox'><label for='data-8b3eed50-38f6-4cbd-b94b-9d4c052a938f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00</div><input id='attrs-08ab0d29-7ca5-4ced-a074-1588bac3c527' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08ab0d29-7ca5-4ced-a074-1588bac3c527' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0789990e-551a-42a4-b63a-33aa70911b62' class='xr-var-data-in' type='checkbox'><label for='data-0789990e-551a-42a4-b63a-33aa70911b62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heightAboveGround</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-7c30ded1-b9c9-4e09-b2ba-d2ff8e50aa92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c30ded1-b9c9-4e09-b2ba-d2ff8e50aa92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d454ee00-e827-4750-9da4-67110a721738' class='xr-var-data-in' type='checkbox'><label for='data-d454ee00-e827-4750-9da4-67110a721738' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height above the surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.6 89.2 ... -89.6 -90.0</div><input id='attrs-c6c9c23c-bdc0-4652-9dc8-1c1315f46ba4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6c9c23c-bdc0-4652-9dc8-1c1315f46ba4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b385030b-5a83-416d-82d4-2cc6854f8ba3' class='xr-var-data-in' type='checkbox'><label for='data-b385030b-5a83-416d-82d4-2cc6854f8ba3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  89.6,  89.2, ..., -89.2, -89.6, -90. ])</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'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.6 ... 179.2 179.6</div><input id='attrs-9b1f17d6-4420-40b2-8132-6f544671166e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b1f17d6-4420-40b2-8132-6f544671166e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-248ca430-f2f2-4c60-b7d4-ac59c67b9dd3' class='xr-var-data-in' type='checkbox'><label for='data-248ca430-f2f2-4c60-b7d4-ac59c67b9dd3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180. , -179.6, -179.2, ...,  178.8,  179.2,  179.6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-c32953e7-2b55-4111-9f7b-1aef2bd7a58f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c32953e7-2b55-4111-9f7b-1aef2bd7a58f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cc79dcb-c97e-4146-b353-04d192d41087' class='xr-var-data-in' type='checkbox'><label for='data-3cc79dcb-c97e-4146-b353-04d192d41087' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b8c0d735-eee0-436c-9da4-dd8bdee52eb1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b8c0d735-eee0-436c-9da4-dd8bdee52eb1' class='xr-section-summary' >Data variables: <span>(2)</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>t2m</span></div><div class='xr-var-dims'>(number, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>246.5 246.5 246.5 ... 246.2 246.2</div><input id='attrs-cbe36714-5b45-43f2-98d0-be4fb87301cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbe36714-5b45-43f2-98d0-be4fb87301cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c0860de-3548-4936-8dd2-7bb573b55612' class='xr-var-data-in' type='checkbox'><label for='data-5c0860de-3548-4936-8dd2-7bb573b55612' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>air_temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_parameterName :</span></dt><dd>Temperature </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>K</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>51</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[[246.46698, 246.46698, 246.46698, ..., 246.46698, 246.46698,\n",
       "         246.46698],\n",
       "        [245.93573, 245.93573, 245.93573, ..., 245.96698, 245.96698,\n",
       "         245.96698],\n",
       "        [245.46698, 245.43573, 245.43573, ..., 245.46698, 245.46698,\n",
       "         245.46698],\n",
       "        ...,\n",
       "        [246.40448, 246.40448, 246.40448, ..., 246.34198, 246.34198,\n",
       "         246.37323],\n",
       "        [246.49823, 246.49823, 246.49823, ..., 246.49823, 246.49823,\n",
       "         246.49823],\n",
       "        [246.31073, 246.31073, 246.31073, ..., 246.31073, 246.31073,\n",
       "         246.31073]],\n",
       "\n",
       "       [[245.97717, 245.97717, 245.97717, ..., 245.97717, 245.97717,\n",
       "         245.97717],\n",
       "        [245.57092, 245.53967, 245.53967, ..., 245.57092, 245.57092,\n",
       "         245.57092],\n",
       "        [245.13342, 245.13342, 245.10217, ..., 245.16467, 245.16467,\n",
       "         245.13342],\n",
       "...\n",
       "        [246.33817, 246.33817, 246.33817, ..., 246.30692, 246.30692,\n",
       "         246.33817],\n",
       "        [246.55692, 246.55692, 246.55692, ..., 246.55692, 246.55692,\n",
       "         246.55692],\n",
       "        [246.40067, 246.40067, 246.40067, ..., 246.40067, 246.40067,\n",
       "         246.40067]],\n",
       "\n",
       "       [[246.15196, 246.15196, 246.15196, ..., 246.15196, 246.15196,\n",
       "         246.15196],\n",
       "        [245.74571, 245.74571, 245.74571, ..., 245.77696, 245.77696,\n",
       "         245.77696],\n",
       "        [245.33946, 245.33946, 245.30821, ..., 245.37071, 245.33946,\n",
       "         245.33946],\n",
       "        ...,\n",
       "        [246.21446, 246.21446, 246.21446, ..., 246.15196, 246.18321,\n",
       "         246.21446],\n",
       "        [246.37071, 246.37071, 246.33946, ..., 246.37071, 246.37071,\n",
       "         246.37071],\n",
       "        [246.24571, 246.24571, 246.24571, ..., 246.24571, 246.24571,\n",
       "         246.24571]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gribfile_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-78b169fe-cd90-4874-a83a-6c6b687a51d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78b169fe-cd90-4874-a83a-6c6b687a51d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b51f0e68-deac-4d33-9220-058513cba8ab' class='xr-var-data-in' type='checkbox'><label for='data-b51f0e68-deac-4d33-9220-058513cba8ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCRS[&quot;unknown&quot;,DATUM[&quot;unknown&quot;,ELLIPSOID[&quot;unknown&quot;,6371229,0,LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8901]],CS[ellipsoidal,2],AXIS[&quot;longitude&quot;,east,ORDER[1],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]],AXIS[&quot;latitude&quot;,north,ORDER[2],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>unknown</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>long_name :</span></dt><dd>ECMWF model grid projection</dd></dl></div><div class='xr-var-data'><pre>array(None, dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e2b8e11-b70a-4f70-832a-4293b95e2553' class='xr-section-summary-in' type='checkbox'  ><label for='section-1e2b8e11-b70a-4f70-832a-4293b95e2553' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>model :</span></dt><dd>ecmwf</dd><dt><span>product :</span></dt><dd>enfo</dd><dt><span>description :</span></dt><dd>ECMWF open data</dd><dt><span>remote_grib :</span></dt><dd>https://ai4edataeuwest.blob.core.windows.net/ecmwf/20220126/00z/0p4-beta/enfo/20220126000000-0h-enfo-ef.grib2</dd><dt><span>local_grib :</span></dt><dd>/p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-0h-enfo-ef.grib2.subset_f8157a02e1d82875b33466b262a606b603be709e</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (number: 50, latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "  * number               (number) int64 1 2 3 4 5 6 7 8 ... 44 45 46 47 48 49 50\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    heightAboveGround    float64 2.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26\n",
       "Data variables:\n",
       "    t2m                  (number, latitude, longitude) float32 246.5 ... 246.2\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 enfo\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000..."
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dataset with all 50 members\n",
    "ds[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a89632a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
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       "\n",
       ".xr-attrs dd {\n",
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       ".xr-icon-database,\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    number               int64 0\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    heightAboveGround    float64 2.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26\n",
       "Data variables:\n",
       "    t2m                  (latitude, longitude) float32 246.2 246.2 ... 246.3\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 enfo\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...</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-b9f27180-badb-477b-a83e-37ecb039bf6f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b9f27180-badb-477b-a83e-37ecb039bf6f' 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'>latitude</span>: 451</li><li><span class='xr-has-index'>longitude</span>: 900</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3c0dd668-bad4-44ca-aeef-4cf886d8bad7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3c0dd668-bad4-44ca-aeef-4cf886d8bad7' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-65bd8470-4f57-4bbb-bfeb-a68a02b2e356' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65bd8470-4f57-4bbb-bfeb-a68a02b2e356' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0f95049-5a09-4fef-af6a-2baab41cfee7' class='xr-var-data-in' type='checkbox'><label for='data-d0f95049-5a09-4fef-af6a-2baab41cfee7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-28e35900-270f-4d15-8716-88437782db1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28e35900-270f-4d15-8716-88437782db1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d932445e-533a-44ae-b21f-273366351b69' class='xr-var-data-in' type='checkbox'><label for='data-d932445e-533a-44ae-b21f-273366351b69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00</div><input id='attrs-687cc65c-8605-4829-a25d-89ffa18ea97b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-687cc65c-8605-4829-a25d-89ffa18ea97b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-667bf07d-ab8b-46c9-8a33-75dab4ef8314' class='xr-var-data-in' type='checkbox'><label for='data-667bf07d-ab8b-46c9-8a33-75dab4ef8314' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heightAboveGround</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-321756f5-ecd2-40bf-b85f-ca5c7533fc13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-321756f5-ecd2-40bf-b85f-ca5c7533fc13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49b5895b-fb02-4504-ab83-19fa7a8bcc19' class='xr-var-data-in' type='checkbox'><label for='data-49b5895b-fb02-4504-ab83-19fa7a8bcc19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height above the surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.6 89.2 ... -89.6 -90.0</div><input id='attrs-6da63d0b-9c75-458d-8e50-63858e402b66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6da63d0b-9c75-458d-8e50-63858e402b66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b083464-4dd4-46e5-bf83-0ddf0b27590e' class='xr-var-data-in' type='checkbox'><label for='data-5b083464-4dd4-46e5-bf83-0ddf0b27590e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  89.6,  89.2, ..., -89.2, -89.6, -90. ])</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'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.6 ... 179.2 179.6</div><input id='attrs-bfd0f76a-0759-42e0-b456-be42ef5545cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfd0f76a-0759-42e0-b456-be42ef5545cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3729e986-1994-4b58-ba19-89306921e1bc' class='xr-var-data-in' type='checkbox'><label for='data-3729e986-1994-4b58-ba19-89306921e1bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180. , -179.6, -179.2, ...,  178.8,  179.2,  179.6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-74b79591-f60d-4311-9ea2-c872fe6425e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74b79591-f60d-4311-9ea2-c872fe6425e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-767ab10c-bb38-4b87-9f4b-9943c906f589' class='xr-var-data-in' type='checkbox'><label for='data-767ab10c-bb38-4b87-9f4b-9943c906f589' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d0fabe50-7fe4-405e-b21d-9894c4d21793' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d0fabe50-7fe4-405e-b21d-9894c4d21793' class='xr-section-summary' >Data variables: <span>(2)</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>t2m</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>246.2 246.2 246.2 ... 246.3 246.3</div><input id='attrs-d6c71cf5-7ee2-42b7-b756-5642b5e916d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6c71cf5-7ee2-42b7-b756-5642b5e916d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a5d5138-29a2-4ffa-93cf-404263dac57b' class='xr-var-data-in' type='checkbox'><label for='data-0a5d5138-29a2-4ffa-93cf-404263dac57b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_dataType :</span></dt><dd>cf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>air_temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_parameterName :</span></dt><dd>Temperature </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>K</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>51</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[246.18098, 246.18098, 246.18098, ..., 246.18098, 246.18098,\n",
       "        246.18098],\n",
       "       [245.77473, 245.77473, 245.77473, ..., 245.80598, 245.80598,\n",
       "        245.77473],\n",
       "       [245.33723, 245.33723, 245.30598, ..., 245.36848, 245.36848,\n",
       "        245.33723],\n",
       "       ...,\n",
       "       [246.33723, 246.33723, 246.33723, ..., 246.27473, 246.30598,\n",
       "        246.33723],\n",
       "       [246.55598, 246.55598, 246.55598, ..., 246.58723, 246.58723,\n",
       "        246.58723],\n",
       "       [246.30598, 246.30598, 246.30598, ..., 246.30598, 246.30598,\n",
       "        246.30598]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gribfile_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-11c797a1-74e4-4b2d-99f9-48d8f308a77f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11c797a1-74e4-4b2d-99f9-48d8f308a77f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5cf9976-e737-481f-8f4f-a5ce06766c9d' class='xr-var-data-in' type='checkbox'><label for='data-e5cf9976-e737-481f-8f4f-a5ce06766c9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCRS[&quot;unknown&quot;,DATUM[&quot;unknown&quot;,ELLIPSOID[&quot;unknown&quot;,6371229,0,LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8901]],CS[ellipsoidal,2],AXIS[&quot;longitude&quot;,east,ORDER[1],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]],AXIS[&quot;latitude&quot;,north,ORDER[2],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>unknown</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>long_name :</span></dt><dd>ECMWF model grid projection</dd></dl></div><div class='xr-var-data'><pre>array(None, dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7004fecf-5611-4b04-9f9a-fcb2df7231a5' class='xr-section-summary-in' type='checkbox'  ><label for='section-7004fecf-5611-4b04-9f9a-fcb2df7231a5' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>model :</span></dt><dd>ecmwf</dd><dt><span>product :</span></dt><dd>enfo</dd><dt><span>description :</span></dt><dd>ECMWF open data</dd><dt><span>remote_grib :</span></dt><dd>https://ai4edataeuwest.blob.core.windows.net/ecmwf/20220126/00z/0p4-beta/enfo/20220126000000-0h-enfo-ef.grib2</dd><dt><span>local_grib :</span></dt><dd>/p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-0h-enfo-ef.grib2.subset_f8157a02e1d82875b33466b262a606b603be709e</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    number               int64 0\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    heightAboveGround    float64 2.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26\n",
       "Data variables:\n",
       "    t2m                  (latitude, longitude) float32 246.2 246.2 ... 246.3\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 enfo\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000..."
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This Dataset is of the mean of all the members, right?\n",
    "ds[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "477f425c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://ai4edataeuwest.blob.core.windows.net/ecmwf/20220126/00z/0p4-beta/enfo/20220126000000-0h-enfo-ef.index'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H.idx"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12a1ca90",
   "metadata": {},
   "source": [
    "## Ensemble Wave Products"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "057fad2f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🏋🏻‍♂️ Found \u001b[32m2022-Jan-26 00:00 UTC F00\u001b[m [ECMWF] [product=waef] GRIB2 file from \u001b[31mazure\u001b[m and index file from \u001b[31mazure\u001b[m.                                                                                                                                                       \n",
      "✅ Success! Downloaded ECMWF from \u001b[38;5;202mazure               \u001b[m\n",
      "\tsrc: https://ai4edataeuwest.blob.core.windows.net/ecmwf/20220126/00z/0p4-beta/waef/20220126000000-0h-waef-ef.grib2\n",
      "\tdst: /p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-0h-waef-ef.grib2\n",
      "Note: Returning a list of [6] xarray.Datasets because of multiple hypercubes.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<xarray.Dataset>\n",
       " Dimensions:              (number: 50, latitude: 451, longitude: 900)\n",
       " Coordinates:\n",
       "   * number               (number) int64 1 2 3 4 5 6 7 8 ... 44 45 46 47 48 49 50\n",
       "     time                 datetime64[ns] 2022-01-26\n",
       "     step                 timedelta64[ns] 00:00:00\n",
       "     meanSea              float64 0.0\n",
       "   * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "   * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "     valid_time           datetime64[ns] 2022-01-26\n",
       " Data variables:\n",
       "     mp2                  (number, latitude, longitude) float32 nan nan ... nan\n",
       "     swh                  (number, latitude, longitude) float32 nan nan ... nan\n",
       "     mwd                  (number, latitude, longitude) float32 nan nan ... nan\n",
       "     pp1d                 (number, latitude, longitude) float32 nan nan ... nan\n",
       "     mwp                  (number, latitude, longitude) float32 nan nan ... nan\n",
       "     gribfile_projection  object None\n",
       " Attributes:\n",
       "     GRIB_edition:            2\n",
       "     GRIB_centre:             ecmf\n",
       "     GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "     GRIB_subCentre:          0\n",
       "     Conventions:             CF-1.7\n",
       "     institution:             European Centre for Medium-Range Weather Forecasts\n",
       "     model:                   ecmwf\n",
       "     product:                 waef\n",
       "     description:             ECMWF open data\n",
       "     remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "     local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...,\n",
       " <xarray.Dataset>\n",
       " Dimensions:              (latitude: 451, longitude: 900)\n",
       " Coordinates:\n",
       "     number               int64 0\n",
       "     time                 datetime64[ns] 2022-01-26\n",
       "     step                 timedelta64[ns] 00:00:00\n",
       "     meanSea              float64 0.0\n",
       "   * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "   * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "     valid_time           datetime64[ns] 2022-01-26\n",
       " Data variables:\n",
       "     mp2                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "     swh                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "     mwd                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "     pp1d                 (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "     mwp                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "     gribfile_projection  object None\n",
       " Attributes:\n",
       "     GRIB_edition:            2\n",
       "     GRIB_centre:             ecmf\n",
       "     GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "     GRIB_subCentre:          0\n",
       "     Conventions:             CF-1.7\n",
       "     institution:             European Centre for Medium-Range Weather Forecasts\n",
       "     model:                   ecmwf\n",
       "     product:                 waef\n",
       "     description:             ECMWF open data\n",
       "     remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "     local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H = Herbie(\"2022-01-26 00:00\", model=\"ecmwf\", product=\"waef\")\n",
    "ds = H.xarray(None)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "244abbcb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a4a2eb35",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (number: 50, latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "  * number               (number) int64 1 2 3 4 5 6 7 8 ... 44 45 46 47 48 49 50\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    meanSea              float64 0.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26\n",
       "Data variables:\n",
       "    mp2                  (number, latitude, longitude) float32 nan nan ... nan\n",
       "    swh                  (number, latitude, longitude) float32 nan nan ... nan\n",
       "    mwd                  (number, latitude, longitude) float32 nan nan ... nan\n",
       "    pp1d                 (number, latitude, longitude) float32 nan nan ... nan\n",
       "    mwp                  (number, latitude, longitude) float32 nan nan ... nan\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 waef\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...</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-4637abab-db2b-4bed-a5c8-8ea97f381d8b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4637abab-db2b-4bed-a5c8-8ea97f381d8b' 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'>number</span>: 50</li><li><span class='xr-has-index'>latitude</span>: 451</li><li><span class='xr-has-index'>longitude</span>: 900</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2c76e972-2c24-477a-930b-3a3154b0263d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2c76e972-2c24-477a-930b-3a3154b0263d' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>number</span></div><div class='xr-var-dims'>(number)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 45 46 47 48 49 50</div><input id='attrs-cc1e6c69-2270-4019-a785-b2b8be5e03be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc1e6c69-2270-4019-a785-b2b8be5e03be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85a10f75-0223-4896-aa73-c1369bef4e2b' class='xr-var-data-in' type='checkbox'><label for='data-85a10f75-0223-4896-aa73-c1369bef4e2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n",
       "       19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,\n",
       "       37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-8bb99c4b-e7a1-40b9-9e92-3ad7dbc151fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bb99c4b-e7a1-40b9-9e92-3ad7dbc151fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f4aa1fe-e94d-4b7f-83a0-40ea2e54740c' class='xr-var-data-in' type='checkbox'><label for='data-9f4aa1fe-e94d-4b7f-83a0-40ea2e54740c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00</div><input id='attrs-dc806cd3-41a9-4317-8f67-eb8787a79b40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc806cd3-41a9-4317-8f67-eb8787a79b40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c9fa63d-0c67-4644-ab01-43dbb72ed2bf' class='xr-var-data-in' type='checkbox'><label for='data-2c9fa63d-0c67-4644-ab01-43dbb72ed2bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>meanSea</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-804265b5-37a5-49ee-a173-676fd3de4cd7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-804265b5-37a5-49ee-a173-676fd3de4cd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bfa6f1d-2493-4402-964f-ebc475f5f84c' class='xr-var-data-in' type='checkbox'><label for='data-8bfa6f1d-2493-4402-964f-ebc475f5f84c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(meanSea)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.6 89.2 ... -89.6 -90.0</div><input id='attrs-0d751f46-09df-4dec-b74a-e1b93023fd1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d751f46-09df-4dec-b74a-e1b93023fd1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a62122b5-d410-44bf-a48e-67256e317d4f' class='xr-var-data-in' type='checkbox'><label for='data-a62122b5-d410-44bf-a48e-67256e317d4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  89.6,  89.2, ..., -89.2, -89.6, -90. ])</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'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.6 ... 179.2 179.6</div><input id='attrs-cc688994-044a-44bc-bc64-0f58912f838a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc688994-044a-44bc-bc64-0f58912f838a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-939b8ed8-fde6-4f02-9716-9d0817ee3f9d' class='xr-var-data-in' type='checkbox'><label for='data-939b8ed8-fde6-4f02-9716-9d0817ee3f9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180. , -179.6, -179.2, ...,  178.8,  179.2,  179.6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-3749b933-4bfe-4d08-8969-d4ac74ab4ebc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3749b933-4bfe-4d08-8969-d4ac74ab4ebc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-406b0365-63a0-4356-a0ce-3dc191a2a83b' class='xr-var-data-in' type='checkbox'><label for='data-406b0365-63a0-4356-a0ce-3dc191a2a83b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-999ad98f-2ec0-4ad2-a0a0-78326e55aa50' class='xr-section-summary-in' type='checkbox'  checked><label for='section-999ad98f-2ec0-4ad2-a0a0-78326e55aa50' class='xr-section-summary' >Data variables: <span>(6)</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>mp2</span></div><div class='xr-var-dims'>(number, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-3b086367-753c-4757-9ca3-f8504d5f810d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b086367-753c-4757-9ca3-f8504d5f810d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1404945-5b71-4b41-b4e0-a1201c938073' class='xr-var-data-in' type='checkbox'><label for='data-f1404945-5b71-4b41-b4e0-a1201c938073' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140221</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>mp2</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Mean zero-crossing wave period</dd><dt><span>GRIB_parameterName :</span></dt><dd>Mean zero-crossing wave period </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>s</dd><dt><span>GRIB_shortName :</span></dt><dd>mp2</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>51</dd><dt><span>GRIB_units :</span></dt><dd>s</dd><dt><span>long_name :</span></dt><dd>Mean zero-crossing wave period</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh</span></div><div class='xr-var-dims'>(number, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ca236e15-d836-4292-91de-dda43014918a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca236e15-d836-4292-91de-dda43014918a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04cf186e-6453-4d4d-aeea-66f9571a9873' class='xr-var-data-in' type='checkbox'><label for='data-04cf186e-6453-4d4d-aeea-66f9571a9873' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140229</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>swh</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Significant height of combined wind waves and swell</dd><dt><span>GRIB_parameterName :</span></dt><dd>Significant height of combined wind waves and swell </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>m</dd><dt><span>GRIB_shortName :</span></dt><dd>swh</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>51</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Significant height of combined wind waves and swell</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mwd</span></div><div class='xr-var-dims'>(number, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-be18f9b1-69a1-400a-9eb4-3f4e7a447004' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be18f9b1-69a1-400a-9eb4-3f4e7a447004' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b952b5b-11cb-4ee1-8021-9e38abca9357' class='xr-var-data-in' type='checkbox'><label for='data-1b952b5b-11cb-4ee1-8021-9e38abca9357' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140230</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>mwd</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Mean wave direction</dd><dt><span>GRIB_parameterName :</span></dt><dd>Mean direction of combined wind waves and swell </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>degree true</dd><dt><span>GRIB_shortName :</span></dt><dd>mwd</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>51</dd><dt><span>GRIB_units :</span></dt><dd>Degree true</dd><dt><span>long_name :</span></dt><dd>Mean wave direction</dd><dt><span>units :</span></dt><dd>Degree true</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pp1d</span></div><div class='xr-var-dims'>(number, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-13c45c17-92d2-4b30-9199-b72e98c4f683' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13c45c17-92d2-4b30-9199-b72e98c4f683' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee53bdb9-12dc-410e-b283-695212cd10dd' class='xr-var-data-in' type='checkbox'><label for='data-ee53bdb9-12dc-410e-b283-695212cd10dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140231</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>pp1d</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Peak wave period</dd><dt><span>GRIB_parameterName :</span></dt><dd>Peak wave period </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>s</dd><dt><span>GRIB_shortName :</span></dt><dd>pp1d</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>51</dd><dt><span>GRIB_units :</span></dt><dd>s</dd><dt><span>long_name :</span></dt><dd>Peak wave period</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mwp</span></div><div class='xr-var-dims'>(number, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-2ce9b8ec-5bcf-4c83-a998-0e601377963e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ce9b8ec-5bcf-4c83-a998-0e601377963e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18ebd5a9-35f5-49a7-8753-aad68bfe879c' class='xr-var-data-in' type='checkbox'><label for='data-18ebd5a9-35f5-49a7-8753-aad68bfe879c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140232</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>mwp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Mean wave period</dd><dt><span>GRIB_parameterName :</span></dt><dd>Mean period of combined wind waves and swell </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>s</dd><dt><span>GRIB_shortName :</span></dt><dd>mwp</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>51</dd><dt><span>GRIB_units :</span></dt><dd>s</dd><dt><span>long_name :</span></dt><dd>Mean wave period</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gribfile_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-ad39b63f-bd92-4e78-9d04-b7700191edb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad39b63f-bd92-4e78-9d04-b7700191edb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ad1bd45-dfca-4b94-8cdc-047653db76b7' class='xr-var-data-in' type='checkbox'><label for='data-9ad1bd45-dfca-4b94-8cdc-047653db76b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCRS[&quot;unknown&quot;,DATUM[&quot;unknown&quot;,ELLIPSOID[&quot;unknown&quot;,6371229,0,LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8901]],CS[ellipsoidal,2],AXIS[&quot;longitude&quot;,east,ORDER[1],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]],AXIS[&quot;latitude&quot;,north,ORDER[2],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>unknown</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>long_name :</span></dt><dd>ECMWF model grid projection</dd></dl></div><div class='xr-var-data'><pre>array(None, dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1a796e57-1a32-4960-91cd-5c12dff18fcf' class='xr-section-summary-in' type='checkbox'  ><label for='section-1a796e57-1a32-4960-91cd-5c12dff18fcf' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>model :</span></dt><dd>ecmwf</dd><dt><span>product :</span></dt><dd>waef</dd><dt><span>description :</span></dt><dd>ECMWF open data</dd><dt><span>remote_grib :</span></dt><dd>https://ai4edataeuwest.blob.core.windows.net/ecmwf/20220126/00z/0p4-beta/waef/20220126000000-0h-waef-ef.grib2</dd><dt><span>local_grib :</span></dt><dd>/p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-0h-waef-ef.grib2</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (number: 50, latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "  * number               (number) int64 1 2 3 4 5 6 7 8 ... 44 45 46 47 48 49 50\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    meanSea              float64 0.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26\n",
       "Data variables:\n",
       "    mp2                  (number, latitude, longitude) float32 nan nan ... nan\n",
       "    swh                  (number, latitude, longitude) float32 nan nan ... nan\n",
       "    mwd                  (number, latitude, longitude) float32 nan nan ... nan\n",
       "    pp1d                 (number, latitude, longitude) float32 nan nan ... nan\n",
       "    mwp                  (number, latitude, longitude) float32 nan nan ... nan\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 waef\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000..."
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "04cb9cd9",
   "metadata": {},
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    number               int64 0\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    meanSea              float64 0.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26\n",
       "Data variables:\n",
       "    mp2                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    swh                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    mwd                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    pp1d                 (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    mwp                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 waef\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...</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-827c7968-22b4-41e9-9390-f7b7bd63c62a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-827c7968-22b4-41e9-9390-f7b7bd63c62a' 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'>latitude</span>: 451</li><li><span class='xr-has-index'>longitude</span>: 900</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b48667cf-a488-4d79-9c9b-5763ac144bf9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b48667cf-a488-4d79-9c9b-5763ac144bf9' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-3e86253b-6f31-4601-9b81-d8f7374b2196' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e86253b-6f31-4601-9b81-d8f7374b2196' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff38adad-95d9-4250-b678-8af81c661309' class='xr-var-data-in' type='checkbox'><label for='data-ff38adad-95d9-4250-b678-8af81c661309' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-7c8b9424-4f77-455e-826e-8a8495e93ea0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c8b9424-4f77-455e-826e-8a8495e93ea0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-070d7e7a-0f4c-4dfd-80d0-2dd8c54b4bf7' class='xr-var-data-in' type='checkbox'><label for='data-070d7e7a-0f4c-4dfd-80d0-2dd8c54b4bf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00</div><input id='attrs-1602793b-0620-4799-a09f-9c6a642be2ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1602793b-0620-4799-a09f-9c6a642be2ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9d48ada-0827-46f4-aa35-5e7268ba9e23' class='xr-var-data-in' type='checkbox'><label for='data-f9d48ada-0827-46f4-aa35-5e7268ba9e23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>meanSea</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-3769f08c-be98-4416-8257-50a44f64df39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3769f08c-be98-4416-8257-50a44f64df39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3731185a-5f9c-476e-a4d5-f4249aaccb03' class='xr-var-data-in' type='checkbox'><label for='data-3731185a-5f9c-476e-a4d5-f4249aaccb03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(meanSea)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.6 89.2 ... -89.6 -90.0</div><input id='attrs-b882866e-6a9b-47c3-a7d0-17a1a44122ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b882866e-6a9b-47c3-a7d0-17a1a44122ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f527efc5-014c-4b2a-ab1f-2d644ce06b2c' class='xr-var-data-in' type='checkbox'><label for='data-f527efc5-014c-4b2a-ab1f-2d644ce06b2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  89.6,  89.2, ..., -89.2, -89.6, -90. ])</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'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.6 ... 179.2 179.6</div><input id='attrs-b2023850-cd43-4d72-9b06-d3a4fcf516b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2023850-cd43-4d72-9b06-d3a4fcf516b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df1b6aee-023d-4884-8a6f-b6efd822688e' class='xr-var-data-in' type='checkbox'><label for='data-df1b6aee-023d-4884-8a6f-b6efd822688e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180. , -179.6, -179.2, ...,  178.8,  179.2,  179.6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-9d77dd22-c38a-4e7f-9b99-c11f79efe027' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d77dd22-c38a-4e7f-9b99-c11f79efe027' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf916cda-bb31-4524-bc78-43a820863427' class='xr-var-data-in' type='checkbox'><label for='data-bf916cda-bb31-4524-bc78-43a820863427' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-82f994a2-0c41-4fbc-9225-a4d449d962eb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-82f994a2-0c41-4fbc-9225-a4d449d962eb' class='xr-section-summary' >Data variables: <span>(6)</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>mp2</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-6d0ab929-8403-4bc3-80b4-fbf76fc9dc90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d0ab929-8403-4bc3-80b4-fbf76fc9dc90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18dadd3f-0801-4e11-aa33-dc53e903f2d1' class='xr-var-data-in' type='checkbox'><label for='data-18dadd3f-0801-4e11-aa33-dc53e903f2d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140221</dd><dt><span>GRIB_dataType :</span></dt><dd>cf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>mp2</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Mean zero-crossing wave period</dd><dt><span>GRIB_parameterName :</span></dt><dd>Mean zero-crossing wave period </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>s</dd><dt><span>GRIB_shortName :</span></dt><dd>mp2</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>51</dd><dt><span>GRIB_units :</span></dt><dd>s</dd><dt><span>long_name :</span></dt><dd>Mean zero-crossing wave period</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-c48c23c0-5aaf-4a63-84c6-b47cabdd566a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c48c23c0-5aaf-4a63-84c6-b47cabdd566a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35f292d7-ae48-4de7-815f-22df9d51ce0d' class='xr-var-data-in' type='checkbox'><label for='data-35f292d7-ae48-4de7-815f-22df9d51ce0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140229</dd><dt><span>GRIB_dataType :</span></dt><dd>cf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>swh</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Significant height of combined wind waves and swell</dd><dt><span>GRIB_parameterName :</span></dt><dd>Significant height of combined wind waves and swell </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>m</dd><dt><span>GRIB_shortName :</span></dt><dd>swh</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>51</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Significant height of combined wind waves and swell</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mwd</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-545c9508-cd45-4a3c-87ec-aff02bf32d3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-545c9508-cd45-4a3c-87ec-aff02bf32d3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5dab3557-2ad8-49ec-922d-d0e2b79adf0e' class='xr-var-data-in' type='checkbox'><label for='data-5dab3557-2ad8-49ec-922d-d0e2b79adf0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140230</dd><dt><span>GRIB_dataType :</span></dt><dd>cf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>mwd</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Mean wave direction</dd><dt><span>GRIB_parameterName :</span></dt><dd>Mean direction of combined wind waves and swell </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>degree true</dd><dt><span>GRIB_shortName :</span></dt><dd>mwd</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>51</dd><dt><span>GRIB_units :</span></dt><dd>Degree true</dd><dt><span>long_name :</span></dt><dd>Mean wave direction</dd><dt><span>units :</span></dt><dd>Degree true</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pp1d</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-56ad5994-d917-4966-9470-2d25af9d7a5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56ad5994-d917-4966-9470-2d25af9d7a5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2367223-f7b8-4156-bdcb-ee5fc062a035' class='xr-var-data-in' type='checkbox'><label for='data-b2367223-f7b8-4156-bdcb-ee5fc062a035' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140231</dd><dt><span>GRIB_dataType :</span></dt><dd>cf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>pp1d</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Peak wave period</dd><dt><span>GRIB_parameterName :</span></dt><dd>Peak wave period </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>s</dd><dt><span>GRIB_shortName :</span></dt><dd>pp1d</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>51</dd><dt><span>GRIB_units :</span></dt><dd>s</dd><dt><span>long_name :</span></dt><dd>Peak wave period</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mwp</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-51ad6698-0f69-4d88-91fa-ff31348c9210' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51ad6698-0f69-4d88-91fa-ff31348c9210' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54f6cc51-011d-451b-baec-9b4db8328335' class='xr-var-data-in' type='checkbox'><label for='data-54f6cc51-011d-451b-baec-9b4db8328335' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>140232</dd><dt><span>GRIB_dataType :</span></dt><dd>cf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>meanSea</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>mwp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Mean wave period</dd><dt><span>GRIB_parameterName :</span></dt><dd>Mean period of combined wind waves and swell </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>s</dd><dt><span>GRIB_shortName :</span></dt><dd>mwp</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_totalNumber :</span></dt><dd>51</dd><dt><span>GRIB_units :</span></dt><dd>s</dd><dt><span>long_name :</span></dt><dd>Mean wave period</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gribfile_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-75ac8498-8531-49ca-bdd0-e69ba8f4655a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75ac8498-8531-49ca-bdd0-e69ba8f4655a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95e23b18-f149-4d6e-b99f-044eee125f25' class='xr-var-data-in' type='checkbox'><label for='data-95e23b18-f149-4d6e-b99f-044eee125f25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCRS[&quot;unknown&quot;,DATUM[&quot;unknown&quot;,ELLIPSOID[&quot;unknown&quot;,6371229,0,LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8901]],CS[ellipsoidal,2],AXIS[&quot;longitude&quot;,east,ORDER[1],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]],AXIS[&quot;latitude&quot;,north,ORDER[2],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>unknown</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>long_name :</span></dt><dd>ECMWF model grid projection</dd></dl></div><div class='xr-var-data'><pre>array(None, dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d44d677-f3b5-4416-8f2d-367fd32b0e50' class='xr-section-summary-in' type='checkbox'  ><label for='section-0d44d677-f3b5-4416-8f2d-367fd32b0e50' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>model :</span></dt><dd>ecmwf</dd><dt><span>product :</span></dt><dd>waef</dd><dt><span>description :</span></dt><dd>ECMWF open data</dd><dt><span>remote_grib :</span></dt><dd>https://ai4edataeuwest.blob.core.windows.net/ecmwf/20220126/00z/0p4-beta/waef/20220126000000-0h-waef-ef.grib2</dd><dt><span>local_grib :</span></dt><dd>/p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-0h-waef-ef.grib2</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    number               int64 0\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    meanSea              float64 0.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26\n",
       "Data variables:\n",
       "    mp2                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    swh                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    mwd                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    pp1d                 (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    mwp                  (latitude, longitude) float32 nan nan nan ... nan nan\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 waef\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             https://ai4edataeuwest.blob.core.windows.net/ecm...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000..."
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "4a11709c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🏋🏻‍♂️ Found \u001b[32m2022-Jan-26 00:00 UTC F00\u001b[m [ECMWF] [product=enfo] GRIB2 file from \u001b[31mazure\u001b[m and index file from \u001b[31mazure\u001b[m.                                                                                                                                                       \n"
     ]
    },
    {
     "data": {
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       "      <th></th>\n",
       "      <th>start_byte</th>\n",
       "      <th>end_byte</th>\n",
       "      <th>range</th>\n",
       "      <th>reference_time</th>\n",
       "      <th>valid_time</th>\n",
       "      <th>step</th>\n",
       "      <th>param</th>\n",
       "      <th>levelist</th>\n",
       "      <th>levtype</th>\n",
       "      <th>number</th>\n",
       "      <th>domain</th>\n",
       "      <th>expver</th>\n",
       "      <th>class</th>\n",
       "      <th>type</th>\n",
       "      <th>stream</th>\n",
       "      <th>search_this</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grib_message</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>609069</td>\n",
       "      <td>0-609069</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>0 days</td>\n",
       "      <td>2t</td>\n",
       "      <td>NaN</td>\n",
       "      <td>sfc</td>\n",
       "      <td>29</td>\n",
       "      <td>g</td>\n",
       "      <td>0001</td>\n",
       "      <td>od</td>\n",
       "      <td>pf</td>\n",
       "      <td>enfo</td>\n",
       "      <td>:2t:sfc:29:g:0001:od:pf:enfo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>609069</td>\n",
       "      <td>1218138</td>\n",
       "      <td>609069-1218138</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>0 days</td>\n",
       "      <td>10u</td>\n",
       "      <td>NaN</td>\n",
       "      <td>sfc</td>\n",
       "      <td>27</td>\n",
       "      <td>g</td>\n",
       "      <td>0001</td>\n",
       "      <td>od</td>\n",
       "      <td>pf</td>\n",
       "      <td>enfo</td>\n",
       "      <td>:10u:sfc:27:g:0001:od:pf:enfo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1218138</td>\n",
       "      <td>1827207</td>\n",
       "      <td>1218138-1827207</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>0 days</td>\n",
       "      <td>10v</td>\n",
       "      <td>NaN</td>\n",
       "      <td>sfc</td>\n",
       "      <td>14</td>\n",
       "      <td>g</td>\n",
       "      <td>0001</td>\n",
       "      <td>od</td>\n",
       "      <td>pf</td>\n",
       "      <td>enfo</td>\n",
       "      <td>:10v:sfc:14:g:0001:od:pf:enfo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1827207</td>\n",
       "      <td>2436276</td>\n",
       "      <td>1827207-2436276</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>0 days</td>\n",
       "      <td>2t</td>\n",
       "      <td>NaN</td>\n",
       "      <td>sfc</td>\n",
       "      <td>2</td>\n",
       "      <td>g</td>\n",
       "      <td>0001</td>\n",
       "      <td>od</td>\n",
       "      <td>pf</td>\n",
       "      <td>enfo</td>\n",
       "      <td>:2t:sfc:2:g:0001:od:pf:enfo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2436276</td>\n",
       "      <td>3045345</td>\n",
       "      <td>2436276-3045345</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>0 days</td>\n",
       "      <td>10u</td>\n",
       "      <td>NaN</td>\n",
       "      <td>sfc</td>\n",
       "      <td>43</td>\n",
       "      <td>g</td>\n",
       "      <td>0001</td>\n",
       "      <td>od</td>\n",
       "      <td>pf</td>\n",
       "      <td>enfo</td>\n",
       "      <td>:10u:sfc:43:g:0001:od:pf:enfo</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
       "      <th>4178</th>\n",
       "      <td>2574120261</td>\n",
       "      <td>2574932280</td>\n",
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       "      <td>2022-01-26</td>\n",
       "      <td>2022-01-26</td>\n",
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       "      <td>enfo</td>\n",
       "      <td>:d:200:pl:20:g:0001:od:pf:enfo</td>\n",
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       "    <tr>\n",
       "      <th>4179</th>\n",
       "      <td>2574932280</td>\n",
       "      <td>2575744299</td>\n",
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       "      <td>2022-01-26</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>0 days</td>\n",
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       "      <td>200</td>\n",
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       "      <td>0001</td>\n",
       "      <td>od</td>\n",
       "      <td>pf</td>\n",
       "      <td>enfo</td>\n",
       "      <td>:d:200:pl:41:g:0001:od:pf:enfo</td>\n",
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       "    <tr>\n",
       "      <th>4180</th>\n",
       "      <td>2575744299</td>\n",
       "      <td>2576556318</td>\n",
       "      <td>2575744299-2576556318</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>0 days</td>\n",
       "      <td>d</td>\n",
       "      <td>200</td>\n",
       "      <td>pl</td>\n",
       "      <td>4</td>\n",
       "      <td>g</td>\n",
       "      <td>0001</td>\n",
       "      <td>od</td>\n",
       "      <td>pf</td>\n",
       "      <td>enfo</td>\n",
       "      <td>:d:200:pl:4:g:0001:od:pf:enfo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4181</th>\n",
       "      <td>2576556318</td>\n",
       "      <td>2577368337</td>\n",
       "      <td>2576556318-2577368337</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>0 days</td>\n",
       "      <td>d</td>\n",
       "      <td>200</td>\n",
       "      <td>pl</td>\n",
       "      <td>50</td>\n",
       "      <td>g</td>\n",
       "      <td>0001</td>\n",
       "      <td>od</td>\n",
       "      <td>pf</td>\n",
       "      <td>enfo</td>\n",
       "      <td>:d:200:pl:50:g:0001:od:pf:enfo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4182</th>\n",
       "      <td>2577368337</td>\n",
       "      <td>2578180356</td>\n",
       "      <td>2577368337-2578180356</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>0 days</td>\n",
       "      <td>d</td>\n",
       "      <td>200</td>\n",
       "      <td>pl</td>\n",
       "      <td>23</td>\n",
       "      <td>g</td>\n",
       "      <td>0001</td>\n",
       "      <td>od</td>\n",
       "      <td>pf</td>\n",
       "      <td>enfo</td>\n",
       "      <td>:d:200:pl:23:g:0001:od:pf:enfo</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4182 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              start_byte    end_byte                  range reference_time  \\\n",
       "grib_message                                                                 \n",
       "1                      0      609069               0-609069     2022-01-26   \n",
       "2                 609069     1218138         609069-1218138     2022-01-26   \n",
       "3                1218138     1827207        1218138-1827207     2022-01-26   \n",
       "4                1827207     2436276        1827207-2436276     2022-01-26   \n",
       "5                2436276     3045345        2436276-3045345     2022-01-26   \n",
       "...                  ...         ...                    ...            ...   \n",
       "4178          2574120261  2574932280  2574120261-2574932280     2022-01-26   \n",
       "4179          2574932280  2575744299  2574932280-2575744299     2022-01-26   \n",
       "4180          2575744299  2576556318  2575744299-2576556318     2022-01-26   \n",
       "4181          2576556318  2577368337  2576556318-2577368337     2022-01-26   \n",
       "4182          2577368337  2578180356  2577368337-2578180356     2022-01-26   \n",
       "\n",
       "             valid_time   step param levelist levtype number domain expver  \\\n",
       "grib_message                                                                 \n",
       "1            2022-01-26 0 days    2t      NaN     sfc     29      g   0001   \n",
       "2            2022-01-26 0 days   10u      NaN     sfc     27      g   0001   \n",
       "3            2022-01-26 0 days   10v      NaN     sfc     14      g   0001   \n",
       "4            2022-01-26 0 days    2t      NaN     sfc      2      g   0001   \n",
       "5            2022-01-26 0 days   10u      NaN     sfc     43      g   0001   \n",
       "...                 ...    ...   ...      ...     ...    ...    ...    ...   \n",
       "4178         2022-01-26 0 days     d      200      pl     20      g   0001   \n",
       "4179         2022-01-26 0 days     d      200      pl     41      g   0001   \n",
       "4180         2022-01-26 0 days     d      200      pl      4      g   0001   \n",
       "4181         2022-01-26 0 days     d      200      pl     50      g   0001   \n",
       "4182         2022-01-26 0 days     d      200      pl     23      g   0001   \n",
       "\n",
       "             class type stream                     search_this  \n",
       "grib_message                                                    \n",
       "1               od   pf   enfo    :2t:sfc:29:g:0001:od:pf:enfo  \n",
       "2               od   pf   enfo   :10u:sfc:27:g:0001:od:pf:enfo  \n",
       "3               od   pf   enfo   :10v:sfc:14:g:0001:od:pf:enfo  \n",
       "4               od   pf   enfo     :2t:sfc:2:g:0001:od:pf:enfo  \n",
       "5               od   pf   enfo   :10u:sfc:43:g:0001:od:pf:enfo  \n",
       "...            ...  ...    ...                             ...  \n",
       "4178            od   pf   enfo  :d:200:pl:20:g:0001:od:pf:enfo  \n",
       "4179            od   pf   enfo  :d:200:pl:41:g:0001:od:pf:enfo  \n",
       "4180            od   pf   enfo   :d:200:pl:4:g:0001:od:pf:enfo  \n",
       "4181            od   pf   enfo  :d:200:pl:50:g:0001:od:pf:enfo  \n",
       "4182            od   pf   enfo  :d:200:pl:23:g:0001:od:pf:enfo  \n",
       "\n",
       "[4182 rows x 16 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H = Herbie(\"2022-01-26\", model=\"ecmwf\", product=\"enfo\")\n",
    "H.read_idx()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "975fb18a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "3d9d0bcd",
   "metadata": {},
   "source": [
    "Here is another examle, just for fun"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "077204a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🏋🏻‍♂️ Found \u001b[32m2022-Jan-26 00:00 UTC F12\u001b[m [ECMWF] [product=oper] GRIB2 file from \u001b[31mlocal\u001b[m and index file from \u001b[31mazure\u001b[m.                                                                                                                                                       \n"
     ]
    }
   ],
   "source": [
    "H = Herbie(\"2022-01-26\", model=\"ecmwf\", product=\"oper\", fxx=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "048ed4cd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🌉 Already have local copy --> /p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-12h-oper-fc.grib2\n"
     ]
    }
   ],
   "source": [
    "# Download the full grib2 file\n",
    "H.download()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "e5c1eea9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/p/home/blaylock/BB_python/Herbie/herbie/archive.py:683: UserWarning: This pattern has match groups. To actually get the groups, use str.extract.\n",
      "  logic = df.search_this.str.contains(searchString)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📇 Download subset: [ECMWF] model [oper] product run at \u001b[32m2022-Jan-26 00:00 UTC F12\u001b[m                                                            \n",
      " cURL from file:///p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-12h-oper-fc.grib2\n",
      "   1: GRIB_message=33  \u001b[34m:10u:sfc:g:0001:od:fc:oper\u001b[m\n",
      "   2: GRIB_message=42  \u001b[34m:10v:sfc:g:0001:od:fc:oper\u001b[m\n"
     ]
    }
   ],
   "source": [
    "# Download just the 10-m u and v winds\n",
    "H.download(searchString=\":10(u|v):\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "0fadc2dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📇 Download subset: [ECMWF] model [oper] product run at \u001b[32m2022-Jan-26 00:00 UTC F12\u001b[m                                                            \n",
      " cURL from file:///p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-12h-oper-fc.grib2\n",
      "   1: GRIB_message=34  \u001b[34m:t:500:pl:g:0001:od:fc:oper\u001b[m\n"
     ]
    }
   ],
   "source": [
    "# Retrieve the 500 hPa temperature as an xarray.Dataset\n",
    "ds = H.xarray(searchString=\":t:500:\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "1e780314",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 12:00:00\n",
       "    isobaricInhPa        float64 500.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26T12:00:00\n",
       "Data variables:\n",
       "    t                    (latitude, longitude) float32 234.9 234.9 ... 242.5\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 oper\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...</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-46b32498-d038-42d2-b2a8-64191ac1ce07' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-46b32498-d038-42d2-b2a8-64191ac1ce07' 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'>latitude</span>: 451</li><li><span class='xr-has-index'>longitude</span>: 900</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-45236ed4-8693-4e9a-bff2-3375b6fe61ea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-45236ed4-8693-4e9a-bff2-3375b6fe61ea' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26</div><input id='attrs-998e5af8-cfa0-4bde-af23-5933980aec0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-998e5af8-cfa0-4bde-af23-5933980aec0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d64a1c49-5698-4676-b16f-4b6fef9cba82' class='xr-var-data-in' type='checkbox'><label for='data-d64a1c49-5698-4676-b16f-4b6fef9cba82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>12:00:00</div><input id='attrs-9431fe83-6ad3-48e6-b30e-bd31a70a35b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9431fe83-6ad3-48e6-b30e-bd31a70a35b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-233ab825-9c67-426e-9574-45e471c645b5' class='xr-var-data-in' type='checkbox'><label for='data-233ab825-9c67-426e-9574-45e471c645b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(43200000000000, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>isobaricInhPa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>500.0</div><input id='attrs-4eedbd88-6450-486b-87fc-192c68de1620' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4eedbd88-6450-486b-87fc-192c68de1620' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92676839-385f-472a-9bff-f67e41731c49' class='xr-var-data-in' type='checkbox'><label for='data-92676839-385f-472a-9bff-f67e41731c49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pressure</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array(500.)</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.6 89.2 ... -89.6 -90.0</div><input id='attrs-cbf5f210-f304-447d-ad21-387c5f1ece58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbf5f210-f304-447d-ad21-387c5f1ece58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5eaa9277-97c7-442a-bebb-4131099a6ad3' class='xr-var-data-in' type='checkbox'><label for='data-5eaa9277-97c7-442a-bebb-4131099a6ad3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  89.6,  89.2, ..., -89.2, -89.6, -90. ])</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'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.6 ... 179.2 179.6</div><input id='attrs-6408b9bd-0127-4c92-b0b2-df5497bb4a2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6408b9bd-0127-4c92-b0b2-df5497bb4a2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-307edfd2-5579-4d55-b868-61f7d56260b1' class='xr-var-data-in' type='checkbox'><label for='data-307edfd2-5579-4d55-b868-61f7d56260b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-180. , -179.6, -179.2, ...,  178.8,  179.2,  179.6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-26T12:00:00</div><input id='attrs-1a6ffa07-a266-49c1-822c-88fd9c3dab5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a6ffa07-a266-49c1-822c-88fd9c3dab5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5dc0e6e-2ca3-4689-aac5-a7e950fbbf35' class='xr-var-data-in' type='checkbox'><label for='data-e5dc0e6e-2ca3-4689-aac5-a7e950fbbf35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-26T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8c6a12f0-8195-4363-b12a-eb9b9b6dacd0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8c6a12f0-8195-4363-b12a-eb9b9b6dacd0' class='xr-section-summary' >Data variables: <span>(2)</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>t</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>234.9 234.9 234.9 ... 242.5 242.5</div><input id='attrs-f639f196-de31-412b-8fbb-6e31ad0b4eae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f639f196-de31-412b-8fbb-6e31ad0b4eae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7593271b-f5ad-4b26-8e24-d84e9f2b436f' class='xr-var-data-in' type='checkbox'><label for='data-7593271b-f5ad-4b26-8e24-d84e9f2b436f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>130</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>air_temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Temperature</dd><dt><span>GRIB_parameterName :</span></dt><dd>Temperature </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>K</dd><dt><span>GRIB_shortName :</span></dt><dd>t</dd><dt><span>GRIB_stepRange :</span></dt><dd>12</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[234.94899, 234.94899, 234.94899, ..., 234.94899, 234.94899,\n",
       "        234.94899],\n",
       "       [235.65211, 235.65211, 235.65211, ..., 235.65211, 235.65211,\n",
       "        235.65211],\n",
       "       [235.98024, 235.98024, 235.98024, ..., 235.96461, 235.98024,\n",
       "        235.98024],\n",
       "       ...,\n",
       "       [242.79274, 242.79274, 242.77711, ..., 242.79274, 242.79274,\n",
       "        242.79274],\n",
       "       [242.55836, 242.55836, 242.55836, ..., 242.55836, 242.55836,\n",
       "        242.55836],\n",
       "       [242.54274, 242.54274, 242.54274, ..., 242.54274, 242.54274,\n",
       "        242.54274]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gribfile_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-04a3aa4d-7759-4158-a790-1325ee4de533' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04a3aa4d-7759-4158-a790-1325ee4de533' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07f54153-2266-404a-88c4-a6f89d4f1667' class='xr-var-data-in' type='checkbox'><label for='data-07f54153-2266-404a-88c4-a6f89d4f1667' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCRS[&quot;unknown&quot;,DATUM[&quot;unknown&quot;,ELLIPSOID[&quot;unknown&quot;,6371229,0,LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8901]],CS[ellipsoidal,2],AXIS[&quot;longitude&quot;,east,ORDER[1],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]],AXIS[&quot;latitude&quot;,north,ORDER[2],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>unknown</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>long_name :</span></dt><dd>ECMWF model grid projection</dd></dl></div><div class='xr-var-data'><pre>array(None, dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-43012fff-c503-414f-9634-340ec8d28c9b' class='xr-section-summary-in' type='checkbox'  ><label for='section-43012fff-c503-414f-9634-340ec8d28c9b' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>model :</span></dt><dd>ecmwf</dd><dt><span>product :</span></dt><dd>oper</dd><dt><span>description :</span></dt><dd>ECMWF open data</dd><dt><span>remote_grib :</span></dt><dd>/p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-12h-oper-fc.grib2</dd><dt><span>local_grib :</span></dt><dd>/p/cwfs/blaylock/data/ecmwf/20220126/20220126000000-12h-oper-fc.grib2.subset_f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2022-01-26\n",
       "    step                 timedelta64[ns] 12:00:00\n",
       "    isobaricInhPa        float64 500.0\n",
       "  * latitude             (latitude) float64 90.0 89.6 89.2 ... -89.2 -89.6 -90.0\n",
       "  * longitude            (longitude) float64 -180.0 -179.6 ... 179.2 179.6\n",
       "    valid_time           datetime64[ns] 2022-01-26T12:00:00\n",
       "Data variables:\n",
       "    t                    (latitude, longitude) float32 234.9 234.9 ... 242.5\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    model:                   ecmwf\n",
       "    product:                 oper\n",
       "    description:             ECMWF open data\n",
       "    remote_grib:             /p/cwfs/blaylock/data/ecmwf/20220126/20220126000...\n",
       "    local_grib:              /p/cwfs/blaylock/data/ecmwf/20220126/20220126000..."
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "9e6cbd6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2ab382135580>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Px/TkJz+Z/vAP/3DF0T5HHHEEvfa1r6XFxUX67Gc/24puIiJaXFykDRs2EAC68soraXFxcdlz/b//9/9op512anHEtp111lm09957009/+lOan5+nZzzjGfTc5z5Xf99rr73oYx/72MRjzznnHO3XBRdcQP1+nxYXF2l+fp689/TjH/9Y9/3sZz9LBx54oPqS7rjjDvrMZz6jvwOg3/3d36V169bRL37xC3roQx/amkOr0T70oQ/RfvvtR9dffz3dcMMNdMABByzrO/rRj35EMzMz9I1vfINGoxG99rWvbfkkHvnIR9L/+l//i2KMdMUVV9C+++5Lj370o1vneNzjHkcHH3wwvehFL9JtV155JV144YU0HA5pNBrRi170otbct61pGlpcXKTPf/7ztOeee9Li4qI6x+/qvPrRj35Ec3Nz9PWvf502bNhAJ554Yss39YY3vIF+53d+h9atW0dXXHEF7bLLLpuMbnr/+99Pw+GQ/u7v/q4V3fSFL3yBdt55Z7rsssto3bp1dOyxx7aim17wghcse89dn8RyYyWBL7feeivddttt9OhHP5pOPfVUPUcIgV772tfSaDSir3/96zQ9Pb1soMn/1HavgsS//uu/0h577EFr166l9773vZsFEkQ8WZ74xCfSDjvsQNtttx0de+yxdMkll6xaf6+55hoCQP1+XyNyZmZmWhERF1xwAT30oQ+lwWBAxxxzTMthvPfee1NRFK1jJcz0q1/9KgGgqamp1u9f//rXl+3Pz3/+czrmmGNoMBjQvvvuuyTsEsCSf8u1F77wheSca137gAMOaO3z1re+lXbYYQfaYYcd6LnPfS6tW7eOiFgYzM7OLvtynXjiibTjjjvqOT/3uc/pb295y1tohx12oLVr16pD++yzz6aDDjqI5ubmaPfdd28JT5jopu22245OOeUUqut62fu6Oy3GSH/2Z39G2267LW277bb0Z3/2Z60InW77+Mc/TnvsscfE6Kavfe1r9NCHPpRmZmbo6KOPpre85S1LQOKcc84hAPTlL39Zt/3gBz+gRz7ykTQ7O0vbbrstPelJT1LHbLd95StfWfKcjznmGCLa9Ly69tpraWZmpuXEP/fcc2mPPfag6elpOu6441oBCsPhkF70ohdppNppp53W6ssBBxzQeh++//3v06GHHkqDwYAe8YhH0Pe///3W/qeddhrttNNONDc3Ry984Qs18oiI6Hd/93fpzDPPXPaeBSQ2NlaLi4v0qle9inbZZRfaZZdd6FWvepUqS3KOv/qrv6Ltt9+e9thjDw2wICJ6xzve0XK8P+EJT6B3vOMd+n1T7+f9pTmiLThLaGu7T7T/+3//L04//fRlHcir2ZxzuPrqq/HgBz/4Hr/Wb6p9/etfx3Of+1xcc801Laf3/+Q2Ho/x8Ic/HD/84Q9blO7W9ptvW0Fia7tPtfsbSFRVhWc/+9l4+MMfjre+9a33dne2tq1tSduqtmxtW9u91K644gpss802uOmmm/DqV7/63u7O1ra1TWxbLYmtbWvb2ra2rW3ZttWS2Nq2tq1ta9valm3Fvd2B1Wplfwb96e3u7W5sbVvb1nYfaIOw2EpqvDvt94+dwS/XrWxZgx12fQz+67/+a7Oud2+1+w1I9Ge2w8Me/2oAwJZfbGRlzcW7cdAKyUN3V0nGVWIlV3zdTez3G+v/KiZ83huNNqf7m3nrd/naGxnrFZ3rLlxv/NPNj8S7fV2D73xxZetRHPnkzQOke7Pdb0ACDojl0lmyWS/JPdRWKuDIb3rHTZ5rmd8JE0Bowr56fnmBO8J2o9df5reJx0wQ4pu6txU/W+dWLuy7/TDfW/2hCdsitX5b8vvGrnNXW+d+WmMhn73b+O/d7d3z0qTfl3Zlo+dYbp+VtM4xS5S/Zc65yWutGvATGro7mtx9q91vQIIc0NzVcOrNnSt3SQguf9iy+3cm86T9aEInWvvZU3Tln1/eWllyrY2Bw3JCMR2z3L4Tr7ORpi//CoTS0oM3fiHthxX+kdrfiVr7OTlnlH2WgsRduvZGWr739MEBJJ+9+ezMvg219m/9BQDv9Gs+P7W+O3MAOaR5OaFfejMrAC+sXOAvf65lAHDCuZadN5vZCEBcqel+H273G5AANkEzrWSC3NXnvZwmY3dZIjCWbp8IGhOEO7kJ52tpfp0XfFOUjQWISZrxJC36Lu7X2hY374VyAOCdntoh3+vGtEfXBVwLXhNAoQUIBLiGGABa24nHT7bDgkTnPu+KsulzX0ksAeeAkLYhCX4CZCQoOjgz4M68B2ROYb93+2XHEi6PNUCtc1iwImeOkz5PEMjLvpe2T8sA/cTnurFn/hsCCGnxLj3c+2a7/4CEAyjchYl2V069LGWwsWPaAlsFie1TZ5vst0TIu6W/TezbMpTQxP7J3O4K/eUEaOe8KwaD5brS0WiXbXKu7j5uGeGyHB1i78W5pfcSs9B30QBDJLi4EUBoXWgF4060/H7OgaIDfAaC/Ox5mwCU3hcSWHRoIv49gYdHmjuupYCoFWqPnUBVtfsv40kQaHKpfwwaLgO3R9uyWeae9V5WAPgbtWI6+0wErHS91cAMAqH5H5BBcL8BCcImLAlpd2V2GA3efgcmaPtLjnFmXzIv5tKutCa7EWZWuLW6bmXwRqyGiZYHEkBMAIA2lZK3t/ebcL1lQMFN6Oek/ZZYGFZAeRY6lDTs7ufuPbSaAU3XveakZgEigUPLYgDMc0zCRoR+tIpB2kmsgpDPT3BA7MwN22UioEmdNedxzvF5EzCSb1NBIqS1k47PRc6xxeDN9+4zdObeZFy74NwBZRHqE7d5M07G8mh/7wx9Z/um/QpLNy09xzKKxeTD73IjANVWS+I+1jby5JfjRjfalgMFq9F3Bc8ETV8nq6EIJh3aOn6CUO4aFqtGh1pqxVIqMNukTQCETTmiHW2kzx3KQQVUAgcriOQ7jwW1aCTZZ2JfnEs0jbk+JWGZrAOHJEwV5ScBRLpWUkZcTAp+BOAFAOSes7BvgQag1BH/urFJS63PFlAUNLzL/UnnIqTJ4lxWUJqOZaHD0AWN1CN9LpSulW7fQz/zXwfy1LbqJjyzu+QA38T7uVJLQ0Gx1aeNn/uutq0+iftQcwCcCVnugkKLuqGlE3I5flOOa2n13fPB/NZp3eOyLS7nmXygdRIqQMjnzm9yP10BuUT771oQYiXEzncLGNK6TtxNNetYhDmvHQ+AtXXkoXEOIO9AlIWVA1SwdZ8TJWpm4vNsbRcBaq5NWdB7FZ4u/eZ0zGmZ6CjyxPtZMBEBbAWU6dek8WmftG1+LTc/uI/Ezukog8Rj4SBA1h4bvaQoLr5zro4DntK54K2F1LGoEkhRSGARHCI5IHSeTRcoJgEHzPyWa2xMCevO0e7uzgCF3XeVgIKArXTTfbEt0RaWmRDKyXe1lw5otITvpEk76TrdfXznJ8r7ZNoi76CCwfbFCnzKMmG5fqmgN76HJUBgziF8cr4ei3YbAquAOSHUc6NtgoA2Py4/dnZ7NP22sreBarcieMi7jc4B5coBgBx8neSsd4lmYsHnK8qWU/ccji9IHm3HtLe/Lz1uYlPwpUxbpWdln9lGW8eistdWHt5aIjFdS6OZDKhbS2eCdZCvA7VkBCxicKAi/Q3yPOT4TT9rMvNfLZ9lbt/6zVrbWhsAJ8536cMqyvX7P9l0PwQJbQ6TNRhM0LCtlhGhcmtj5ummTN6WBdL5Ta5tJznZ36210TpnV3AvxYklmpWEucq+RmAv4fItUMFBnZEWSFbrBeuOy6Tz2ptL9JNGIdnfG8py0TtQpCS4oH4B/W6uK883loBrnFpajgBXBFBJ8OMIV1ObupDm818RgOSN9SIRScspKjrnKF3XpWexVHFY0XgtAbL2dTZKbZlzWrDSCCrnUtQUj4NGOkUAhQMZ9CYHUABiyIDdsg7MO7AEKEhOIPfA1lTLwugcOymIQkEnfRZr3PoHN7cRCM0qIM51112H5z//+bj55pvhvcdJJ52Ek08+Gc961rPw4x//GABwxx13YJtttsGll14KAHjXu96Fs846CyEEfOADH8Dv//7vb3Y/lmv3H5CgpB0Z3tjJhOxaC2h/XyJco/nZHD85WgItTX4SOEw0q2W7HGdUkhZgyDk7L4Ac27IoTJPwxJbg71oSnW22/xOppa6D2bX3bW3bWPNu6bmCWx5Q0zVEU43BJ4G8aUtJt4nwSQKs9Xw8CzlHDBYquwsHVzqEYYSvjU9AtP3a9NMlDTxFIS1Hp9hGKeoIwRmfUzooUsuAWALomwDsSYEC1pKYaOkYy4NC50dDG3X9RUw1OcSCxywWnNjaCiSZBGAuz8PlLAxHxl9mf+soWZNCzVWpMLeq/cbmNyKgWoUTFUWB0047DYceeijWr1+Pww47DI9//OPxT//0T7rPa1/7WqxduxYAcPnll+PTn/40LrvsMtx444143OMeh6uuugohhOUusXn9u0fOei81F7NpuUSjnsQBb+wlNserY9CARNuJmre15KU9h1v63U588su89Gayi/k9yWJo3Za8VBE5rNOCArAELFr97Wjqy0YPTbjX5cMSjZAxkTN2f9UWW5qnoTECFJAFHLoCH87fJQuy278YusDp0PQDfEUIY2KrIlFSk4SuWjqWv5+kLds+LZfVjeXvQemiSRFV6TKtPAhDYcE79hk4pz4hiYDqhoiSXwoO4oNQSimkZ1S0n9MmI5SQn/dy9y8Wg2/a57N+tInH6DuaD8o+r9UBCcChWQWzZNddd8Wuu+4KAJibm8P++++PG264AQcccAAAgIjwmc98Bl/+8pcBAOeffz6e/exno9/v44EPfCAe/OAH46KLLsJRRx212X2Z1O43IOEaoNxAqmHaSaqTSRzb3X0Mz7rJ2G5jVcjLAaExzPGyjz1OJ6bRjARgbPRSS8Oy17XCvwsCEfB1/jxJsE8UksuVkmgBS1uQLPncGh+39P6NALUARyA4a1VIuKUFM8i9URs4rAXnWDjx96xpT2pCO5GJCsrWHMHHTr+Jqaum79D0XbI2uD8cKosMHHIbDbElkOYH9z+2riMWR6ZjZIyovZ/224EKp0KbAgt6R661n+4r99el6USz7kaPyS0bZULpuCJbChYQdBzlWYgAnmCdbEoqt+a7mXMuAYSvSBUDnvdp/CcoJ22KaymIkANGG+/Oipp9fTbVbrvtNhx++OH6/aSTTsJJJ520ZL9rrrkGl1xyCY444gjd9o1vfAM777wzHvKQhwAAbrjhBhx55JH6++67744bbrjh7t3ECtr9ByQioVyMS4Q7hbZAab1QSk3REg3IOj+XvERy7oaYd5VjJWkJmCikJnL6VrPsvlACchq7nwROI4KGBZYIqJbVkM4zkS7qWBRLnObWedrtqy16OakApoNqpPl2CC2NLgkvbVbQyD4tQdN9qO3wVxAQIuXjDPjrdwFvBVm7f1vbtPkYImwzCPMFG+/gotM5paDdsPDyFf8FMgg4JOCAA6LMm6XWlH5uiMFF8jWaDAC5w2muGt5ez+vzObsObb1Pn48RiqitXOXxs78pCC1RuOw4YvnWseYEu5bb19dmzsuY1/m70nwA+0e6J+soXKsBEgBWbEnsuOOOuPjiize6z4YNG3D88cfj/e9/P9asWaPbP/WpT+E5z3mOfp+0BJBbLlpuFdr9ByQaQu+X5tHrxA9ZAyvSQDZkhFnWyGPkyc8mKWnS1hJnG9JEbQiucWj6lCNCOhZCq4+diapatVsyh7Vfvib4uvOSNJ0+iOYvFkTT0Z6WTYibAAjLRNR0azy1EtqM0HJEWiaCRLtvnai9P7CMYJd9J7alQn2Sr8URtc6tGqbHEiEp510qWPMlKUgenDN0B4N2pvccXEOgQAijbD2wv0L67IDCCFoZj5TE1xqbwGDrmqU+iiw0Sc/rkORlw+G5dnzZImiPsSpGGqVkx6cz7JT3FUuiCw46Vh1Kx9lzmOek70Dnd/1sQMFbUNCER2jy43J0aEshSvN4fuKed60RVg4Sm2pVVeH444/HiSeeiKc//em6va5rfPazn8X3vvc93bb77rvjuuuu0+/XX389dtttt1Xpx6R2r4LEj3/8YzzrWc/S7z/72c/wF3/xF7jjjjvw4Q9/GDvuuCMA4J3vfCee+MQnbvRcroko7lgAkF7CMoAKD9cnUOGzuW4ToiTqp0iaWOKZc80c1oK1Mo6xSPS6kYECJfPZE60Bah+TDzabjZVBYFDwFSVwQPsFcDCWhaGFavPi2P3VTLdm0CZqEE3IXm5lkUcAjjSZylJ2zowTjx6yNUHQZDnZX89Jebx1CJezCsxY8Hlc6zz5BDJ+BkCi0CUpYkm1Y6gzWUElDxe8sbr0WXmgSQCQQdsh1imMtkEW/glAxDXuvMy1TKXJvbpICKOGwcHUc3I1ZZYvCe3YsS4sdamWgnctqkieKUcgweQ6ZOE/yZKUsW9RTBOUqNbzMf1JhlWbdpRHYGlSCDggz2lL7SW6CfazAKZVfmI0ilD+jimsSosrcbxsohERXvKSl2D//ffHKaec0vrtS1/6Evbbbz/svnsuSX7cccfhhBNOwCmnnIIbb7wRV199NR71qEdtdj+Wa/cqSDz0oQ/VkK6mafCABzwAT3va0/Cxj30Mr3nNa/C6171u5SeLERiOgSLABQ9qeGJ4IlAIoNIjkk9CjWe1FW6A0R5JpAR08tsXb5KmbY9XbTRpmEu4e3Pe1rbUvHDeZAWi4xeC0m/RapIAGoJvzAsj51wGDCaVk0D3r17aSQ8yWAjIdktGBNHWHZ/bd0JHzceJDuYl1BIUZFpl7CZYB3pO2aWjlU6K6PI1tTTrNtWXNXSANfHWfRDSmOdrxSLlkwSAgk9gH+ErPh/7BtIpGspjmK5DgYHEjxt9ji5mjR8erZBcKpyCk9y/5eRjcGxBhGxJ5PyF5HiWbT7fW5caZaor33fbfwB9rhNL49hHKtZD93f1r/F8VFCIgKsT+FaRx1uAoo7ZgoiAi5wZyYDBgKCfm0QVRAJisyogEeEwxuZHFH3zm9/EOeecg4MPPhiHHHIIgKwYf/rTn25RTQBw4IEH4pnPfCYOOOAAFEWB008//R6LbAK2ILrpwgsvxD777IO99trrbp7BAWUBBJ+ceoE1ozKAfIqHTQCRNSanQk2bncEdeaUgAiMU0kuox5r9KCSg6Dp53YTPVvuVyB3zorK5DeW81QchQNHRqAQcXHKYanYuDEB0wUAtjmVShAxYMJXE0oScaMWeNV8jTEnGXLTNCeU28r55TJY4qbvjJpvMM2mfF4gdcNLxpC5FlHZpknJMWQMH2OKw1285SZPgtrTlElBOIaUuitacq8q6GFUIii9BlIFMYcpkM3SUdwoY/D1FFonFnOZl008hqQkkYOikVhRS0omsBSFWlUtj46sMMNbRrOfrnHNJRJ0NLTfPRZ7DEoBohG4VYOD79VWEayLPbQsEaY47BYPI4EAprb5OPG2xegJ1NSyJo48+eqKfAQA+/vGPT9x+6qmn4tRTT93sa6+kbTEg0UXMD37wgzj77LNx+OGH47TTTsO222675JgzzzwTZ555JgBgTIugqZ4KL6aYvPoj4B1i4dsa6HKx+d3MUPtz0tpcBJqeQyzRnuhJq3VAjnySchhd4YLJ2m43hJUtC74uO63Ropv05bLmdwIQV8d0nfTSAEvSRJeAhkYI2Q5btdIp361lrKODc6TcuxMwblijVr8QpcQ3CQxwue6Pgmv63gKNjpYr197kO2r398mn4MDVVluWBToOaLQjndK59G9HsbDWRFdACngrFZeOsWPK2r7XIc30XLKgzHzRz2o9cDhq7HnE0qV5yeDQlJwBbS2tFjjYxypdkvlsgSD1nS0iY41I0lzXRyHj0mCp36F1wRSI0SSrrMlj6WsOOxag8OOGAWPcJHCNajG0KKUmTlaCygIoClDvri48M7kRVs8nsSU3R8tB2G+wjcdj7Lbbbrjsssuw884745ZbbsEOO+wA5xze8pa34KabbsJHP/rRjZ5jzcwDcOTDXp5M7aTdi6CyfgjXcRZCQAPGeZdeLKvpqmaeX9SmL2Y8TGgisvmeFBYW2MjlI4CWxiYUhL4cY0NjpJfHj0mjmlxENr3FcoAAhmhdScMywJBDWaPRTs12Aw7LZhfbJvs0lCwyBmd4n8FaEsuCy2Ahz0CuZUI1207UNj1ir5m1/DyeXUtCr7Nkex7/JZFgCs6ELOTzs2qDVOcZmmMdsUDlCKVMAWatuC3EFCCauMRizaCTrBI7dz0DQjMVUA/Ycmh6LgtvoZE6/Z7kR2gBmwRHpDmYw63NOQLQ9IF6wCBhn4tr8nlaZemTZSLX8RW/Uy2AiPw9jDhKzFeEMGyYgqsiXNUka6EDDoCJ4DOKjnfMJiTFEcHhl/iPTUYbbart97ABPvxvK1u+9DV/tM1mX+/ealuEJfGFL3wBhx56KHbeeWcA0L8A8NKXvhRPfvKTN30SB8TSq9UgvLkKKaudGu1oiVASQd8FCDN5xc8QxuIEdIgFtRfEMVZFK1FugmaqRoYKrjZuM1C0AUKsiSWWQ+SXaOnL0wELe41mKb3kQs4gnJyIaLZJpjEAN64B59hPUXg47znqpgHTNpVTGqUVzumzUBcrLwZ27LI14tq1gFp9MaBhAEI1/q5QTG1JBI7VqjW81Qh+k2djr92irCIZwWqizLxjcJDMbZdPRFozaqm+tgQgxFKLPDZN36Oe9qhmvVoNsTDj0AJY0+1ErbWA01pRGjCR5rxpMbAFrdfqsDdqVS3DWup+tQGImAHZNwRfIQPEKAFEE9tUqFVwRHko0uQQZ3+afwgJKHwC5FWIgeVbnKQ93b/aFgES3Tjgm266STMQP/e5z+Gggw7a9ElceviiQRpfg3XmoQsIJiSwzdHmJKSWNkn5BXBktJ/GIZbUchoiQmmnrmBTYLD9t9uMddBaDKem7LxrYvJRJKuhjplWSs48obtcjMjJYR5OHHlA5m1tqz0QvAp8BJ8d1sm/02oCBkuiqiIfTw6IkYEDLPRFMFqw6AYIcOin43pMDT8jjefvhGt2S00sAYY0wDb+346/7pbmgvgm+Plz7aJWsICxQlp/O81RBnZ4tPNLnABQRNdKsg528g6xF3jOVRGx59EMAsazHvWUQz0weQuOrxPFirL3J3NZ7lNyQBq0NHm1BNL8I5d9Gk0CCBsNps5noGWRtMYmYaMCUZXfKwWkOlkPNdfNCuOYaTXvgQJwiCB4uAJtLl+fv4yjy/WzkgUhPsnVav8T6KZ7HSQWFhZwwQUX4IwzztBtr3/963HppZfCOYe999679dvyrR3i2hL2JrzPJkpZcLBhhoDRvoDWy69OSfOyqVlNTsNgLaWxxB8h/bNKUHeuWc0uGoCoIxedqyJ81TAwCCgIMMBoWA0yRyunjgQ0Df/rcrhyrhAAn4CiKPieiwCCeensmEkEkADFsjHrxHgkGl1HuHMVUYnIcRMB1leU6JSlFFWLVpFxnNQs1dQZd9Ww03cCDN3mFCgs3WSpKclpEb+R5K20lkE1/dDxM7keLpo5GhyaHlvJvgbiIKCZCqhmPKqppNUHmLEwY2YEuJ6bcrh2qKChp2oRKfUpwhmZgrXRUfLYRIEyeoZ9P5YAhOT9CAjpuJGWP/HjyFV4W+9ejlzqWhCtRyvKTKI9OXAFhgKd8NzvRiNyqLpm1P2w3esgMT09jV/+8petbeecc85dP5GlGExrx39nLb+VWGV+ax+MpcLVfhfqyYQh+obj5pVuAtoROKa/ehmj4VK6D42lbwFRenlGNYf/1Ua4TwIIIFNJwWcwiBGo6xwWKGCxXNam90ARsr/BOeZ3zQvYak0EnJ8IFLJQjhbB0xpATq28WDilNDRsUwHAtQSt0BRLLmVAdqPNHieA4NrPTBO/NIrJJaXA0CRG65Z++SYDO+KE65nw5FbXRdMPHrH0PAYpYiwGh3rgUc041MYn1i2X3r0v2e7H2VeR6R6zb8zHkLFsllB9MrbmWm3/ibm8eVZt60FCuqHgEMaU6VQyoa5VhGuatp8NgEYtCgAYi0H9XQIM3iiRq9AIQLOVbroftK4QsACRShmr2Z32tcKhq20qmBC4xHT3GHkBRLPqvrCWB5ffLCVgX3Q7n5sU+lcl81tzIZYBiCXhrZTjxOs6WxKAAglRA1cUbEWkSBCEAOoFDSlu0UpCY6X74g5Y4HBLgKdtwTkN24w9z9otgGbgGSyStquF5AxQyBhZqkTHUgDCCq2NtI0mj6V50t3OnHkrc8NYFfxMwjA5Wg14tC9sNGWrNASH2A+IhTj687jVPYfRGq9RdVpDaZIlitR3yvNbEvxIrN9uv9I4dMfNKj2AAQI7d+WPfW8smMv1xL9XtwHChrpybkk71BUxPfsQsqUgvkeZc11g0LmSOriqMt2hmZgYcv9q9xuQEKEjn5fSN0YwpWgk3t4+B4BWhIqE8dkMWz3OuRRS6fQ3EVzyV0Ahh3YazdeAk1IaQjMkdTAWSXNVzYuFfQ73M5aNAoYVXAYcYsOAUNcZROSvd3BFn/ctC6DXU+uBytCKWAKgyYo2Tp182rcUqijtL1ZK+htLj2aK6ZN6YGiljmXXikwS0Fjih0j33gBFckbGElCaT56nUBqVUCjm/Mj7WuBWwWgz6WX3VKIjwiGMCGGc5hRxQAMR0AwCXOHVksi5ESbh0Zw3lp6TPgu2wmLJAq7u86SrZh3qKZ6/agXrw89/BWwVJJHpHRkPX+frkuPvZO7Z/qbXkt/NWJFPU0LOLVaJsYBtAIAtMxNGOfLLj1O0ngUH6zCX+acA4Mw9d6LlrNXg5T5SNYWNhLff1cZ64FaQuM81DafUyZH/ZsFgJlWn2eJ5gGiqlLWmjmXikjZdT/nM6xI7W61Gq1mzlF884Wl1VwKzND4fx30m1SjbN0ttx7SNUhJaJ0VAgWK2Jny6+WRJEEU4BP5eFAlIGkgOBMf48wDoS+YdX74CKDIVAO8ZVCTcNSV8pYJH+uKypZDi+QvXAgEB724WsP2uf8WySEAb+9AQZQWUBMquAYpF7osF/5b1JuBjQKg13Ea71vIdHkDPJUHLikXTc+oQZp+9h28o+WvSUFQRtvptLDjHQdfa8B5Nj0Naq2mv/gCJJiKYvpv+yTaxEAQMuqG8NiijZTnYe9Y5aCwHo9zIeVu+CHMNC0pIABEqYzlU2ffgmrRmR93k5DjrgLbgoPfeeUDWeiBRYmR3ys95NR3Xq+Xg2ILb/QoksgYBnSwtU7yjfVqtUbQpqbaZhbtonvkQvZ5W30whnkUy5QOUkhcQsAeqJWGAikTpTsKPHZf85sbSoSkdfC+w09retAUIsQqKwELeB94WPFDL2yKo2eZWqKrZmiBioIgN0Di4EQEFJclEQJnGNbBQo8KxwKsyEGgyogdcTYil1zHW+kEmj2QSQIjFpfW1zLgp/SJWhRTes5aFoTscAWEhfS2SDKN8/i6HrkmQRsGQz7qcdJoMUq4i9pAcy5Rw26EeAMUQcA1pVj6lMYo9j27pbh2L5IcYr3G6iI/k3Vi/gAKRUTwsddZO6Fu6bblorJalYEHTtEkhrvacasWIBZHqkBVDkxw3iplWqjv+BgsIkwDCPiv9Qgp0E2X3hOM3pxEcKlqpCF1usLf8dr8CCcmg3riT2rXBwgpwZzSnBpCwUxFg/GJQFh6eD2rMCwwg5zAgaTbJglDH9HL9d0kI+ixAY6JfY8kaeBg6jvFe4nMQ1VGEDwGjKmumTkwOhxbVFCn7KQCQq+F6WYtjyyKBR53KbpQB5DjSRq2GZLlo7aJkBaFgja4Rfj24HM9vaKauVsx9MUIvAUks2GKwIbAK9qppU0v79RVfx1cpmgfpecj62OChaVFOrq1tx9QHyG7EgIMUKuvqNMTegWoggK1JzqPxKsCs8HJCeaZrNKVDNcP+Bs6ghlJLGs7anbtAm37zhlqiJUPK1+1QQW3wWErJtHIqgFY0Xst30ZmSAmDsb0j0UhX575ij83xKjkOT61G1GBwDEK0lZAn6fuZnlhgCBYuOXyIl1q5adBPuiuN6Ul39+0a7X4HEkqxpI/ytELf+AQERrv6aPifrIYcKZu1bNJcovLt5UVsO0s6L7Gs+lzMUCKW+tOasaMjppWWhm6yJ6FFPF5xYVMdcpwZI4GCilaTJR6Kkrbo27RTZi0mGrqK6hqtrIHh2ZPd6QK+EC4HvPzg48ur8jIVEcznzYiLnQMhYB/ZBtArNpTGXyqQKpB06yVItMt76XAtqhYDK+DcFAZ4QGwdXsYAoFthn4CuDlY6fix/nPjQJ3DUPQOaXa/dTrcLAAKTDIBq11ojKc0V9VonGpOBQTTF41tMubUMrY9pqzBZU7Wp9YlmgI7TFaSz9bvkdLEDIvEfql6HHYA5RytRu6zT1oTVoAUQ53yAs1Mmhb5zSEv4bcph1+3yU/1qrzwIaEVzMFpntOFk/xipFOBHcVrrpvtqskJF4c+vYBtACCGZSXBJqPKFCwwsR2f1jz6nQk5e45adIn7tgIRqr8wASLUVmX+tAVYEgTu8iUdcE0JRDLPiRlcEjzI+BUcyFy8TX4D1a1gKQHdfKg5u3KDmyqa5AyX/hxmO4EIBeL7+yPcA1TF3FvsvnhTPgulRro9JnzT/kkhFacE6EvRVynfHQRZ08UmhsegYlAaG9boQ8ABfZb0K9iDgA4AJiz8FXQLEAlOtZsEsYqR8zb07ewaXrRbEeOtaiaOD2OUYPrvdUIFGQmWbSDOwI1XSbUgrwpVIaRXY6W3CQbXZMLMWk8yxm7V2siFbIqVBEFiCsQ70LLkYaq0Uu15pkDisoSV4In9+PCWEc4UcRYb6GH1VsPUiEnARcOAdyEQ4+JTPy2iQAZesivRd8oaTcwaFVZqcFEG0hrgriKrWtjuv7YLN5EfJdTVFrPQhAGDNeXkqmUfI5lRYR/jsY4Sa+iphfQhvRQUjnT9qjhGtKVVDttwMDiWiZovSHpC2BTfZYOgx3KFHPBBTzJXq/HsMNa7hxDSdgEczEFV+FT4Mh+RHiGAwBrleqBUIx0U5ROJAGqGsGjFjk4yy1hAQEgMmOda2/IlCVMipSEljX2pPxF3qpl4CyRLYmCtK//PyIKT3Hi/2AUrHAiJRM6JJjO8I1HhTZcqmnshIBCBC4tFSmU2uuRfHIc4cRvumvOpSJL+sSTUeCJEmLiIVH7Dk0PWgZbwXKjp/GgoC1TnVepevJ367vwUbUtZQZARQbxdd1QCPvTx4gsbaNpp9DrtvHWcCSCgFhFOHHNddeqk2ghQEJB37ecMzj6ZXS1CbnMlBsJLenW57nnmgcXLgVJO47zUFj7ls8dUdzsIK91WKe2Oq7SC9+U7rWCxzLpGEaKgKAak+yzKVPdWkklLH7ArWs6pCEmgEHD2gETtPjbG4JIaxmPOopj2quQBhF/rdYp/pA7RBZFyNnZlc1U0cxAsMUL+ocUBRwUw7wHj6MM13lPFwIDBDeQwqldbPXpaggpSgdX8cWFwwIcIvTOuc9iGBVgywAdYrk8eIU7tQfogAgpIEPyZLwwlM5wKdV3Dwx718nqeoBKgl+IWUu94FY5Wel1kwjIccsq0SAA1jK/zcZGOCSY7vm+4hFmnDgfrjk22rKDA7yrK3V4iB+sDxH1JmuE9kOWhbIlspU34HpbzskldqWh/lrw0/Fupbr2vWntS9Yery1JpTOalJl4rrheSg+MlOYzzUe6BHILxVPToBB6nm1/A1pp07tNps5Hnt+shV0t5pDJ4zkftnuNyChxeH0hWgvEN+N/mitZCaJWECrOJoIs6YPpUiUM7ex6AaUnJQ9TtqwOE0l6UteYnFI6guWIk4pMUUOyHQZct+pcIimaiYXeQtwjUcYBw4jrCgVSeMSHojEJTzGns18AJgaMFDIixoC3KAP1ytBw9FkLU20shR5pWXYRagIPVIykMTStTX1bjE4famBxm5P4NEk4WnzTfRZtuJRwVQeuORHy7EKgivAToY0/rG04MsRSEAC5trMkyRMdU4Yi0OeXTTgLxp68mgqCDbIczH22lauzB1bZ6nlyHdoLRWqOTv20ZjjHPKckmatVEsx5ZBtGJDIBQr19A2fNMJB19ih7nEGHFK4a35glPtHlDP96zopEh55zYfkC6OSlZAyZCDptuhYAQo5X4lStj53PGeqW7mwWoWvCcB4xdFN9912/7lDz6W7NbfAIS1LamSJvkxOX3Jb4VL441hAI0uY1mgDg1oo5sVVXrpIwCELtBTI5cV9tiJybR4jLARkjPVDAWrlyD1QyffmGnYzsEaYhTKXp0YCiRRuWAWEIYOEG9dwo5qBYjQCqvSyJj+Fm54CVRUQiamoMv3znjOvSx4IXlozOfCDGXMHXfBGxwspf8BaF87IMzOe+rsFbA0DJV2jAEbYukA8Tp4tCX6QSct0gPOk35t+cnDGbJBoJFMCBQDqZ1CwNqDeFeT2PhGglKKyMUnh0CbKhu+cS5QOQK1XzRcxdFIrUMJaFcli0oWrxH9hQ2UThelBGTgEIKxlLOHfwSXaCECdS+Z743jP/csg0TpXMm1kHW6NqgPx8/JpopPQUBVXIrZAoYtmpZsLadVJzxF2Td+r3zCWGUWVIhZFbpUsCYJblUWHtvR2vwGJGIDRWlkuklRrty8MAH0Z9cU0ggSeNcumn0AiaYxKNViBAEDoKBRGwwNaYayxAcIIuliLHN/iseUFF/qK2pcRDV2uKQKLPDhvgVwLfHgMAF94+EIqavLLE4YOPmlmbtwA/X7Owg6B/xHBDQZ8I1KeoyxA/ZLrNwUBU58dgQkkpDBfLIF6kC0Jife3dYaavrkvEZZog4UdcwZKBxJndUGgMsIV6c1PeSuqagdiqknG3QMEAvWAqiAUG7zOHedY8Nnr2lIgKoDNHIIouIQMDN6cRx6ZX6pgAMg5GxPoTxv91bo28ji1WkRb+MlQGGATBcZVmbYMFbUs6dbxUplXgARioRLCMELWg7e1pdSqFAtZIqYSlUplYJ9ZBX5eTcw+BucNassJkiXgPRxiSg5NkX0IoJIt12bgtbSLWLdc+DDTe+LXcrR6gm9r7ab7UKMAjNckATl2KBazNtMKGdS0/XSc0eSaPjszZTKpM9VouVTkRetb0SIE5rKNv6ExGqhEmRCgAkW54wh14nYwKIcsCiApXYaWBqtO84gUxWWWwxzxDixE+JH7ZM67UQ30e0lT46zpnCORpGePwYEKj9gr0ljmyBLSrOm8IpqskEamv7r+gDh/g/mtK5ClufyXQYgQe+ygppLgSoIL2QFKNvyIHC+rmsJPnTx3H/kSG7wm4oUU/moVgyhhqC5vm0iZiQUQkjLQsSzUurTzsBOy24rOspalBDIYq0F8Ia1nL1+TUqTzSK5bJMVBaiVV0EV9WuteyGHpGcuzSvp/VgSmxYHiWgqM0ExyTuk7+6kclx3pl/BNBBbr9kUl4MI7wHvEQU+tVs6BKZheGoGfa+ERewGxH1BPsRUh4yOgwFn9xhJNvp3VEHwEIG51XN+HWhLyzYBDGSkAxWKKVJGXVUxOn8MKJReCCqCazRMp/yWuBeRpiWBWxTJy6Qw/BlvMiUfhej7sIB0DKBdYy0yWd7Y8LDfdtTT0JZV7ANARUipEEl1FNf/A/hHuPwORY1qqF3j9gsSHuGHUcuAA8hrALr8AVAbEXpEAweWy7K697Kis9yDOfllfWUBZcx1sv50ZA+tXcmnck8OZz0+gHsEFgvMEXzRZ0MZccE+XJ7Wo60iBXi3IkPulGrXPUVgCCmTmTUsuJKvPavy2VpSGtMrvcq+yzYJEh3pSJUIEvbkNvbaxMixl1gqoiElJadhyKIaUacgGWspc+wGen5SUGX4WbJbI71HmQcdKouDgA5+bGrY8GFh8moseblCAiLiUS22Awjmee8EjTvcQ+2mZUSeKDxB9AZrrQdaM4ZX4PJqB0+do83A4MRHtEOZVk+tu63oS96VGyMKnGUA17mLelO327X9IciSWiWIy2kbsUQrFy5aDFVzyHUDKLWAahFLYo6sdmn7SLCMDReWAcgPUKWjDHDUpS/pgXnbN+AXaGreZn9EARaxZuIWhaLGsTfmacz9c4UBFYJ9CUcA5LsmB4JknDsK/OAUOCqG1XrhGlYjglIJ+MGBRmBfUWmYd4agvc0maHKfNgSOXPG93geAKVq990fBCQD4i1h5OQMCiuQ4MklBjcOFsOZ4rYZQZSal1JEJFcjKAdBoryAUgRDhbkGja9ynPsZvjYOdWazLb32Rb2k8d5WT+YSlAOGKnvE8Zz8ViLomhQKN0EOV7TNeJBKURGbAI3pyfvOSBZGtCl/L1KXgjWRE8uADBawmTECPc0KcSMmLqASTWrDzC0iP2s2bE/q5UFiaIrwtqxcrcE+t1Uq2v1WhbLYn7WjNaYc5n4O++Mi+27GtM+3o6CTQRVAWyBptCLJUGKYlBwpltjQcqh+idcsCiOXLdfqfRTvLyFItI2cpZ0OhkduAQShEkYtmY7624d/Nis8nPn12NpGExd+xrB088sV3JJpSPMYGDvMhJQ5TF4oMD9UvEQcjF+3xa76En2dNiNWQTv+mh/cJ2aBwtoVEQj3kaVwqUfAzpxhxTC/rPESjyAISC+bumyS+qCwSqHYNAek4uFSOkkK0MFx2aPsFXLIx8xQIFi9xPngvGN2VbUhLY/+DyPEjgIGGfZJ6HOrLNPNUwaDlenqHHhCitDC4OyMEMFiAShekrBj4poiegJUEaFBICELQ0iAhzG/XnGw4lprQSYCuaCUhRdKl3kQAva1yYeeEJWJRIKi5U2RSBfWTbTiMsVHCjKlcz9lCwgOPIvdjzZjXC/DcWHKxiQ6pjkd7nUnwSeVxbNPEqtK2LDt3XWnqxpYkmWEWp/pnljgWLpgflmgUgqCDEQeQ4+6xMsxYb+ESitfK1uEw2xpxQRpG5cK386oCYah3FHk/SagYISSAJ9aARTHZii2BJwiMmTVteWqZInAoCaWFsBBXkBUqO5IZfVi3KNynUVcaxDIg9BghdQxxggEiZ1OqHMElyraJ05p8FYkrOZ81zcDzG8AQfIo+3o2TU5PGOiCiKiBgdYnSgJmudJCaXOkDR8oGqoxlgYKqh4dMuWWB5vKz22bZuWn4TOX8Kc7YlMADoSnXROfgmWS2Sl4gJACA1pQT7rDHUUQ6cubYjplrLBUo+MBPOKnMozTfnk4UtRQbFxSChzDYHpuHBa1lQYs0I2ETOlSkah3o659LEwsH1fDqvBxpCSGtsNMk6cGWAH3Fkh11IS6PmZKXCBCDKBggYGQWrGSRgt35FsR4E3LF6bWsy3X2osWnZfvwsL1yO6GigUSAaXWMdlAUQpyLQb5iSSM2LABOqwl5XAKFs+HqFA2oWXJQc2VSSVsx23uUS1ZSojrSAjCbTGbqh5TQNWVgphxwAqSnlvGO/SLJkNHRTBGACGVc4dpIQoVWeQ/JKgmendBlAIbC5X3q1HlwE6uS4lOQwLSuRKCb246Cl4TWDjpWWaiuRT9aDJ/giwoeoY+7TjXrPUqmJHv1+g5jMLLYq8i2kKtFpEFzeRtBlvLW+Txpf4d+ZBuGxtUuCkliSndbNj9C8A7lOEui+ZspSnwWBgSAYnSUJ/FbOTZLfrfuz59ZJyNf3FQNEGLWLCbJDlxQYsvLAV3eRBXIMDqGOaehcjhYTYBKrA6QaPwdMkFqYcp9ArtvV9BxClSyPmtCUHvV0gB9F9lX4fC2/ULFzOoq1IOckWJ8IXFprW94PZyITOwABs89qBiPxsE+YGPezdr8BCUC09vz2kAPqgtWkYh7AmJUJckYwS8RKSYhTEVSwBiuaLMAg4TypwIrJMR1jomYIzI2HZK4Hx5RHTLRH7RKA8XE2c7vlW+j81SQy0SRTCKj6SZKg5ZfIwY35ZfVD83LY8wJQPsyGBUt5BMsLp8WGqBfSQjhZo4sl0wq+QXuNZY9lrYiml62H7GdgS8IVbKH5NO4hRDhHDBRgoPA+IkaPItTwnhCjQ12HNPaJhkpSn4Sn0/s2EjM9Ow0ZFS0z7YYUltq15gQIWs/GnN5F6HKgLe2+Fk3WdZ5jOleKRlIrgvLzJkEQaz1g6WdHgI9AscCLH+mCQknbZurTpbpUnfN47ogARdP3CKOokWsTy144x0AhfbN1k1r3SNnyDEzFUspfkIRPl6oqN/0AyaaW8jIagqvPi0yZGqgzWwC+GSCXeknPlUxdL7nn1WOItq5Md99qDll4QjQJfpvqWVbherX9LWu4NqzSFSxwQhnhPKEsGgQfuQCgI1R1ADWeQcMTIlQt4+UbkrByHqCG6RkHrheEpPQ2vRzCGD1y6QITITMpHJRc2ldqERWp0mkSupKoZKOG+EAruDI9AOegFTgluamfMl0DRzPFtFIaU0psSdQDjl6qEmfP0Svcf3X0yjaIxWD6g3SvpUQpZYAQge8cg7J8jtEjpFDXpvEYVQWiWHGOllgLECEWHbL6Kdo9A7hLzmsp6UFFDmHNYc+kkW3OhJl1w5U1016y6sUPUAs1SEA0mrahbMQ3FUtkILLWhAEmahtOaRIxdVmMOLxVIvrENyTO7miotDwOlOddwRp9A+O/aAlYo82LoO72xY6JGCFBbsbxMryysFdEjpIDC/+m5+GbkCKhxBQi7huQQmudPlYJ6mjSXBSKVwHCOKw14ISWjODdamxEbbUk7lOtBRCJrmBNkFDPRhSLXh2IklWt0Q8FR824IsIXGSCK0KAIEU0qrFMkQeUUDJyGvAIswCQMk/dkHlZr2nv5zWXLV7RaK8yllpC8Xw1ri2GMHDmDtDKWkNvIx8txtqlwasz+Wo2zYQe21GYq2WEoUSSSQR3LFEnSM1aDh2aoa0ikeRaaQJdoJkgSXEhjHYgBwAHBRxX6QjEROYQQ4R2hbjzGdWCaL90sYx1bEOqTADSCCY7gkKy6lGltqSIGaI5IyxVGzVzSCZa3yxgn3aRVo0jHtjG1kdIJYqJyJKveRQ5LjQGIjUM9hZbho8+OsgBUv4JcB+ykdg3psyUwSNh70NLf8i+kzkZi65cAD4KsOmjHId80j+WScUFn7qXj5N7U+kglNJzzTDPae3VgkAqU527algfCqWXmklXQogoFDD0lHxjl84jluEqea150aKvj+h5ve++9N+bm5hBCQFEUuPjii7Fu3To861nPwjXXXIO9994bn/nMZ7Dttttu/EQOoB51MmwNteHYoeZqtDReic1ns5nUQsiaLL84Pqn+wUeE4JV6aqJDVQfEBCLON4iNhw8RdfqdAgFFKoGgpjLXwvGCH2ndX1B2wKfQdL0fL/SFCOPUb2feKWn6e2uj+ZjMei62VmcrInhQr0AccJISnGRQmwJ9pcN4Lp0nzSDJKYg2bNhJX42100tg7Am+TP6H0LYcQhp/pOHibZGtOGoDgQJEY0EiSUkjaQ2OLmlK13WEsx3XJXLFmW20dB9HyYmtfpD8MAUsZR9ed9sBFcGlBZmELaPOc7PXh71VAWbnEL0EFuRjNU8jmvOGdBON00T1CCAk4xJAFtByv5QtLx0jt/TeW34xShYzDE0VTMSUPoj0XZdwda3n0QITMTKSBVZPI/t0ZH8BxzJds2kfuxrtf0Kp8C3iDr/yla/g0ksvxcUXXwwAePe7343HPvaxuPrqq/HYxz4W7373uzd9EkegIoL6kZfbTE0EFHoR9Wxk3jIYjcyzJHA1zx6KDrFpD0sVAyJY+wuOMChq9EKDflFjuldh0KvRK2sVZmVZwztCUTaqKSMkPlUje+T6WRuSbaFKC+OMOTKrWGQ6oQtwsSe1dzik06UEMgW+7svg5LeUyzHK1V7R49pM7IcoEPshg4JxPsfCoZrNHHDTTwEAmtWach1KdlTHfkzbCDSIcL0Gvtcg9CJC0QYI7wlF8kkU6Z9Pv9UN50GME1BYikn8EAoeoikDXDcugqklSbCz1gbxb60waWNFCJ9v97d/l7ANIrjFAiTW8vl5slM5jPh7SAluWvcqacdinbROa3Mj0neN6kkJjDGksNBBCkEOpgKAef7tfylLXkuxm0Whkj9sslWT/Amdek+tZsbKFtts7WLP7cw1C2OtSB9cp186J/ld4NLyxjrRd4FUUWOAWiVLgtiSX8m/+3K71y2JSe3888/HV7/6VQDAC17wAjzmMY/Be97znk0e5zyS/e6yRQFovDnNNKgqh3J9Ljeg3K9ZP0C0qFFVYLYYoUlCpSGHYN4I0Xx7oVHNt4liZfD3WHrExrO/o4yIzmWHNAGAY1pqClxuoGJeXHKJorwM4hwOQD2V1jsIUM3OWcFnPxoHayyAIIu4JC6agoNLWa6cD1GgGRRoyhS9JFZE0vzGa7h0CTuj87WoII0u03GVmkoBQMnUki+jUktd68H7iOAJwUUFAMloJXJqSbgE7OyD8BoVJiU4pAmALLUChGZh5UB5bIeWNdEKe1VuiY93xIJdUmasr0IP8YCrKDmCWWhHpOi2mnLyl4dWLp1o/U04d+vZpjnC0T2piB6R0qr5eKc+KfV9ORH6LlXHpbRooYSWpgdhIotsGQ8bDzDJqmj31QCKFJYimgy03c+dyCYZK303fHpnateimFwEB5H00vxcpQqw0rb6JH4DzTmH3/u934NzDi972ctw0kkn4ZZbbsGuu+4KANh1111x6623Tjz2zDPPxJlnngkAaDbMs50MAMKrNklzTOqZKxs0awA/LnMiE5BLYDSOkcZFNLWHD4RRVaAsmqTJAt7n8NjgI2LSaj3Yh4HkHJfInLKsERuPpuacAhcAglRtJV0LSLNUS3BCF5BXKmtpjIm6KQiucsma4DezBRQ2+iZpYs5xaWUNKfQeVBT813vEqRKx51HPFkDKpZAkplgA1ZzLSWYpIkydh+L4b1wObU2g4QqCLxsUJY+d9NJ7BoPgOeS1TJSe+IAkvLCJvHSrvpCUKCbK3DmJJ7NxDBpk+HexIJIwFOtBfBEimCUxrkUjCeVk5ott6vsxFAuQ5J9qvIk+cZlKhDOLDnW0+3zyznW6zxNsXYqPqp5yOXcmCvi59jkkGo84Uc6nUiRd4W7nZMtLT7xd/C1ijTu4JSBr+6vHGqHf+tvdt3P/9r67tJPNj9JdowNqBkrXOH4vp5KDKE54kHejcRXYLYKMuUfbvQ4S3/zmN7Hbbrvh1ltvxeMf/3jst99+Kz72pJNOwkknnQQA6D9wdxbe8tI6YoHfiXYJ0zWqHYDerWXenJKx3NAzXQWHBgGxITRVgJ8eqeNU5rR3hEiu5dBuogeFiCY69Vn0ygZEFRbHKSi+cZBqpC66XEfIE5oCwKJDsw00l4Kzk/PbEgsDaikRTd4cG0apfLhjDZIC8UvjWFt0NYc8IgSQK7hQWs+zBRGJSy6n2Pl6wGsvN6XJLemTht/G5Ixmyi9dI/kdAMCXEUWvUasBgNJFFiCCuU8R/nWi/prGa/E+Bof0uXGgxnPkUAIEJ8qB/psgvbyEeIItCnFyk9k1ujS+6ZhkRbTGWudQfmY5KZJBtWo5XlNUWunU2Y986bYVSND5q+BjBadYGUmblnDbYBzoregkB7WWEc1iPC75u1Twu1xqRRSKpMlreXCfXjRK2rpvWxs6Xmb4W82hs29bcLeOIVuo04CeoaOsVRX7HBgBT3Dj5CCvHGgq7VtaDWrz2v/42k3HHXfcJk+w3Xbb4eMf//jd7sBuu+0GANhpp53wtKc9DRdddBF23nln3HTTTdh1111x0003Yaeddtr0idKM8iEtPOOBiJS3YCaoDxHF2hGaXxUaSkqB4GuHMPRICcwAEWLj4PsNFoclZmdGKuCCj6iboHRJpKzVMv0UEcHUFBGAHjAqGsSmSIkaAJCEmoRZpn7Gfgrb68t9QQWZ/a5ca3pBLGctK7qphujaL11eYtQD3nHZgxTmKsuSSuZ03U8A0Qev5GbKbZBHq5yG8uVlzjEBwL4Zl3MdZBwz1RRbzmppwREan8KO070BSIl0QKw84ihl7RaUQy6BDBQybLH9XcYlO0sZNGwZdupy1y5bTtYKlUzr7BFO1wgMBmJVMiXkFBg0FDvtay7TEZLm+XbyM+w/G7lk8zzsPatA7cg2SmCj31OpFdewv0NKvcQiWRGNAAWW+hs61oDTvpGeW0ppyP5afDMdIyVBpDx8CywTF9sNJYYjVmJKAvVYSSEAbsR0L9UpGrFYHZAgONRLarbc/9pGQeKKK67ARz7ykWV/JyK88pWvvNsXn5+fR4wRc3NzmJ+fx//5P/8Hb33rW3HcccfhE5/4BN74xjfiE5/4BP7wD/9wBWdLE9ZH1TZs3oL2OXr4osZouxrlbabKpAfXWKo8W6PTDVMnCwWwtsG4Chj0iJdMTtSH9U+wsMsCLAiAwKEXGpSDGqPag6JP9BCSYELWCIlXY/MVa7ASdaO8vtyD+FMADY2Ul6UlKCZEOLEjNeZqrt6lXIjsd7D8dj1wWl23njJJcZ5fRAop10EEbnLUayZ6ihbzJtfEltpgH0QbIJroETypL8jSyDHRShSBOA55IMxOrVDUZFUS2r4JBY2k2SMQ3BhwlIHCOqD5Gi5LPDOnnLHaWg5tB17voGdLSaRdzLOx2n6rlArMZSwIIO+vv5mcC/vMXac/eogDKwTiJ3BQx7m9XgwMAuokd+AMabFIqeNPSX4G21cpD6L9jtmno31JTYIkGnCWtpQeF8BqlakRcExRgTbwQMq7KH2YEluJABfs4G1e+x+fcf2Od7wDxxxzzEZP8La3ve1uX/yWW27B0572NABAXdc44YQT8IQnPAGPfOQj8cxnPhNnnXUW9txzT/zzP//zpk9GyL6CkOPrEYCmzm+N81zzZ+2OG3Cnm0VxW5lXlkshpsXYo/bg7GsP1L/uI86w4AohokYKjRUtOJ1b/BN141VLlivPDMaohpwABiv4VSCQ0k5EHs105JjvkHwNjYOrnWrs6n9If8UqalMj/I8CUoFBhzBsEo3AvY6lA5XeaM8O9ZTHeMahnk7AkNbYiD1Sn0icahQcXNLMyn6dxpiSLGiDQpEiwjiniq2v4GKyJLJ2R5RX/JLifeKQpugRa4c4DnCLfA80JWV10z7JQelsOKyjlrZOIKBx8FXyTVSuXa7DCJicfCnCT2plOY5SGudxV44/MLBa4arWA9qfXVextcLchjmTAaR8I20gCMayFOFvrBbZT6gsSr4LCQbo0lmMiawoANlC4YRQdoTbirdsXWRrwycg8WNeh72eDkAQB7rLt0vIS7im81QFz3NdGKmAKj8MUjzeYQi4NTBhwPwuUeX5nXFgusl5uOkGNF4dP4JEN21uu+666/D85z8fN998M7z3OOmkk3DyyScDAP7u7/4OH/zgB1EUBZ70pCfhf//v/w0AeNe73oWzzjoLIQR84AMfwO///u9vdj+WaxsFiWc+85mbPMFK9lmuPehBD8IPfvCDJdu33357XHjhhXf5fKGMqVRGAoskeJxn34Iz34kc1uywAevn16L8dcpxSHwsecCPHCJSVNLYIw48FoclpqfGaJxHseTNTuUjAlMr4qsQDbkXGhT9BuNx4GQyQqZXhecW52Y/OYDLyH/F1xJInbBkX+juX6uJirbqoZEtlDRBKZ4mGa0KELMO1Qw01FUAQhb60VIaRR5Pn4C5KDj5kMipP8F7Qr/ksGEAqKJXgOgVHBlW+obBAQ5NdAlI+HjJQRErjWr2QfjGJEuJwHHQchbWR6PjYjTzDBxSTj5lrVPeT+g8EDh+X2i1iLTAFZQKcTU0mSuHlEJDklvWSepPq54TsrWR/UnZupB9ZcokN5vej4BDS1mw8yH9lXLfSkV6qKWlxRAjqWFkGRUNpPAOVDEQu9AGPKZw+egoIN3zOt/UErBWWqfpWBVAHVy7HpXLY6aZ7pVDI0A38qAmWbcxO/NdBGjRA71lLno32mo4rouiwGmnnYZDDz0U69evx2GHHYbHP/7xuOWWW3D++efjhz/8Ifr9vgbwXH755fj0pz+Nyy67DDfeeCMe97jH4aqrrkII9wz1tSLH9VVXXYX3vve9uPbaa1GbRUK+/OUv3yOduluNoElsIOSEOE8oHaFKvgMga6r9okGx8yLi/AyKIZ/GV8kJWDl4cogla/S0oUDjCW6aJ5j4IgJyGJxPUU7eN7mWEKCf+2WNqixYezOCKHWKzXhCykYmDuMtSK0kDfWU8F7K/1rhkCJcPCBVQ8g7hFHM2l4qCkgOQMHlEMZzDuNZdqhWs0kT9gxasYycrOhI13TwIX13BB8YCMSK8y4mXw2DtYQJW/AUyqlwMVFzSD4LvpW68UxTIWg0U5SKr1IksMzBBAK8zoCpOHbRHe+kdefsW5eEbo52UjrEhPYKvecrhzBiYJB5I+XGpX6QOqVNbH8LqCDgDaVPnDihzXK4LcBqG0f8czSBCl2FQT47AyKdyDcR1tTqV5d6YgAVAS1Wp9w/W6tcfZYd+XywLHjF2d9cP6rpeb0nAb6JstZYW00/LaLV6YcjvvdiASDnEPtpEsgSsoQU5pxoRKPcbG7j6KbNtyR23XVXjeacm5vD/vvvjxtuuAEf/vCH8cY3vhH9Pptx4ps9//zz8exnPxv9fh8PfOAD8eAHPxgXXXQRjjrqqM3uy6S2IpB4xjOegZe//OV46Utfeo+h1WY3BzRjD/QJRRlRFo2WdQCA6UGDxVGpdYCkbTO7gNtnphBG3jh2ARcANOD1oFOiWowuOawbNNGhCIRhVaIh9jv40KRyGyz46kQ2CRc/OxhhVDFIKLeehDyRCd30KTLI8z6qGUqOBYBMJC8VJvI5U0jgpDJZMEgkQkqkEnppvCZpblPJguixwIxTDb9cDkCImikN7hJCiOj3KhQhYlCw1GiiR50ikrwntep8aFAi+3W8I5ShQeEjxg3PrTI0CiYSyUTkciRTkgNxEHUBolb4uxWqQI4Om/g+u+ygti+8EegKDgmcXe103XKfhHkYISceuuzct0K1+1nB3WjUYgXFPrSirwp4c49qSTQp8bLKP6oQtdcAWqXku9aFcvddJVuHJgtm+Rs9gDLfp6tdKjBICOMUPeWcgh4cELXiAJLlleaiFLuUa9kupDHj6PT2M5IaWWGBN9XE64QgOcJdWs6YAYLvh+pJiHT32kp9ErfddhsOP/xw/W4jM2275pprcMkll+CII47An/3Zn+Eb3/gGTj31VAwGA/z1X/81HvnIR+KGG27AkUceqcfsvvvuuOGGGzb/ZpZpKwKJoijwile84h7rxKo0eZkkcsZH9IscdtlEj9nBCMOqRPCc99BEhxAAWlOhHvZQbjAauuQeVDlpDQ0Ld+8IDXkEIoxSSQ6xGsoEFMFFroMDAMnq8I4w1R+jblgzbiILPI35t9qvgEfdeWGMNsnnhkamWKen8tECEg1rY76WZCugHjiMZz37Hfq5Fj+HuaZkrEHUQnwAl/IueqlKZ3Qoigb9Xo1BUaNIdJL4aqroGTBNvavCceRX6c04pe11ovGcJwyphPfU8knEBBBiSdikOvXzOH5O+rljFWhL3IVzpLWKnIQT6z68n/ghALYgfMUCXLTmYiFpuLr4ElrLnkokGNMwmbJRzr82YAHoOZQiAXJlV52fErbKmdza324zGnuL3jFKhJ1vepiW1U9WlNxbyHNKhLQWDixZwXDEFkaoWPsvhlmYa3kSSvkyjq2LGDsJrmj3SYEiGrAzAO5rwM2Dk1Gnc7a2DUJgUHVANWGc7kYjYMXRTTvuuKNWlFiubdiwAccffzze//73Y82aNajrGr/61a/w3//93/jud7+LZz7zmfjZz34GmpAQ6CZV612ltlGQWLduHQDgKU95Cv7+7/8eT3va09T0ATj8dYtp5NgRGUg1z+AjytAgOObIqxhQhIj5UQ9F4DDW4Anb77gev1zcFsVCfuCiVRGQX55RQExUFfsd8oORnIngWegJ5y68utApU2WNJjSoYkCTgCpGhpPY+JxFLNc1ZgKHsibhl96kbkSTRjshm+qcxwCM1jjEwKZ+PcWhmPUUtNhhLBK1lBZe4n9ciM95Qug18IEUDHqDBqVv0EuVcgUU+0WNOnq2rly2IkLqWN837bLrqRU+ok6A65OfokrF/GLtNcfERhdRFEuPx4TDismYEQKi5sXSIU0CS0JUU6VeyPC6TDPBETtqm0wtqRZfy3oMBhTknxX8QT6nZ6i+AZcd3mppcEa2q6F+AzgWgkpFGZqJBayxIPIUydq/y9PJ7qM8P8xxGp7qchl4KR0jArjOvhetfpuYPtdjttQ1QFU5LUESRnyhkBZF8iNKYMN+OL3uBApKwdaZKSB6VcxgG8bmOUjZDglkjEwhr0qj1aGbAKCqKhx//PE48cQT8fSnPx0AWwhPf/rT4ZzDox71KHjvcfvtt2P33XfHddddp8def/31mkpwT7SNgsRhhx0G55wi13vf+179zTmHn/3sZ/dYx+5Oo8ahHgeuCeQ5yqgfakwXFZdDqJOfoA8sjEu45FwdlDX6Oy6gXj+LYjELF6ZkcjifH6UaQUIJdFQ3olSWQ2gnyoIRADwcfMFWTUERI1fARweiqE5eig4NpTfAWhUitCZpDDFTUq3oFxEuaRW06IFhP1VxNYsCyep8sUfJUR1ZEHhK62QQQtmg369bpdN7odGsc0QP7xuUoUEvZU73Q43gYws8iwQm0fC5Ahjim6jIp8ioBK4SEaYDnSWaqx1LI+vQTUuXtspqyJBYYQiDJalqqKV0rFB1KbrM1wkk6rRE6CgvrgOgRTEJKGSnNGXh5+yjJQZyAb4UqBALQoADTPSQJip3aEYyS3i2wMB8J3vvScDKmk1KTVone/reWvHR+neSZeTrpIgk4AJBl6gFgKZg+sw1QDWdHP6NQ7k+dcVo++o8p3wda1201vZAui4AJ85+5H1b/hMFf8qJk5vZ+HY3/1xEhJe85CXYf//9ccopp+j2pz71qfjyl7+MxzzmMbjqqqswHo+xww474LjjjsMJJ5yAU045BTfeeCOuvvpqPOpRj9rsfizXNgoSP//5zwEAw+EQg8Gg9dtwOLzHOnV3m4sOzWIBN83CqQgcWhnhUDjmy+uUzFU3XjnwOnpsO7OIm9dOwVfF0qzW9EJSooXEL1GmGkNCcUXw78Knh8AcgTi5Adacg49wScg26a13LgA10MBzXLqVIhtpSj91o1qSJiX914qgRtMVzVDqQjUDAvWjZoFzYUKuuTQ1qNAr61TcMPkdyCsAELkWQABsUURyKZwGrd+6TQBkHEPrnFFoOAVJADVzN5Syq13jsgNaaBUHuNonrT0P4hJL3ZkcCmeEoIyhfBS6xILEmHLEkcvjqHRMOpdqvAF59cR0LZcsidQ70y/+0wwIYcjBBKK5e0OX8EqATnMa1Eku53AZAOx39bmgLfjF+W0psy6jQoFy7kHqg5swTyVstRXG6/JYyvok5TzpOPHqh8ZqwVKAi8HocWmfaCPEBGyEajXJnyAHt0p0E4BVsSS++c1v4pxzzsHBBx+MQw45BADwzne+Ey9+8Yvx4he/GAcddBB6vR4+8YlPwDmHAw88EM985jNxwAEHoCgKnH766feor3hFPonf+q3fwve///1NbrtXm0zApD1OlRWmikojjgAWUoWLGLuAqV6FUJMCRRU9ym1GqMYevV97PaflowFCUeSS4QALN3L5exMdIgXe7pnzblEqLq26BoeiiKjJa+hnjD4VVyO13jQ/oHJwleeKpbKudZMtB6tVyktrtUFLQakg8yLYiGmm6QaulNpKaQGgQJidGaIIEaWPGBQV00ggDBuePkLnDULdckAXLmKhKeEdafirNJ/iNzUizPyVWljOsU/CCUDIc45Jc2zywkEMFMgZ7VKHySGF/Objl+XuPaD5KmazjJ2Ag0uhr2GcNdTWGiVdmsSDnamG9tEyJlXOQF+uxR73xLmU7yKBCFJSPJouizC1loFrf2/lTNg+IdNGVBgwEToujZECn91utHgdL8q+AXtNnYuJBmpKBgpHvK0e8ONq+lBkEJ+MvQcL0AqMZgx0TfXCgLO5/uY2wuqAxNFHHz3RzwAAn/zkJyduP/XUU3Hqqadu9rVX0jYKEjfffDNuuOEGLC4u4pJLLtEbufPOO7GwsPAb6eCKmwNHunhCKDg6Zk1vhFpi7Mkp593zDWrvefU5V2JU8zBsM7uA28cBddNDmPesyMvbl/4UIbayrR0IRSCUQrsgJ9jU5FG6ppXxXYaG93NJIEZ2gotQdIlSkrBZGnu4kUeo2xmqdqLry6wZsUtNb8E6FWA+vzyxR4hTDXy/4RcsOi5f0m+wdnoRawZDLFQ9bDNYZIss1KgpF+CL5DBVVih8RM83GDYFl/cmr6W+vdGSvRXY5rt3hJ5vEIPDqGa/hGKfJy7ACF71D+SAyi0V+g5GYiaLyFFeCtQOhvVtqIIh23k/sehakW8AysUsILOz3+RFJCtQQJipPcqUUwojJo8sYMnxmgfIx4NSVdMIdk6mZ6jhtYQ0Hm2BacdDhLtYGrGroRd5TkWf54kjpryEfuquIS/nYC0pP08q+J4k8dOPc781STFF2zGAcnnzYhGoZtI5LO2V+ihJr5oUaRWfFqWUx8EugCVBAFglpZvLcqxepNSW2jYKEl/84hfx8Y9/HNdffz1e+9rXKkisWbMG73znO38jHVxxc8QA0WN/xLgJ8CDMliNE4hor3nGkzbApMAg1xjFgUFSJIuKZtGbtAn7dOPhhf6mgTaGSwq9Hckm487aBbzCsmcBV/4QRkF2rQigWalzKSI4GUDyqDQXCnYV8bdMmInik/HPKntWMW0s9pXvQlz8maqlIuQaDBq6MKKc4QimkVfnE5yAWQuEitusvoO9r3Daa5Ugl79BLjuieZwAsUo7EOI05kLlb8TvI+EkQAP/Lv+l9pvFwLsXHE/FLnpycLPxJizTqXJCWEiStI1rDKI3fh0SYWipF8gqSP0KiaiQ0VddxSHkROePXzBnPICzPjFLyn5SNcD1T9CktnsR1pxxr6jFZDVHKfztd6EmS7lpFTbuWpBWYxrKUpT1b2jiQwdEIV81JkfUYIvSiZP5fyvdwQEHsEY+f/KxWBaHxXOSy6fM6JXqamCwol61lpOKWrYglc9/c185vMY2uBCh4IE6tkimB1fFJbOltoyDxghe8AM973vPwqU99CieeeOJvqk93rzmgnOJkLqkTVJOHjwGDUHGIJXlE8iiS1l/4iCLRROOmQBM9pnyNeu0Q8+Tg15VptTieyG77kSboSZPCdLLsZvARMdEtwq1HpKqw5NAQFDQsYPSKGqgLfhEcYfGOPoo7CvNiWy5bCFwWNloPKL1ck9gLFYC14/pLqTAfCkLo1yh6Dab6Y/RCg6lepcIbYDCbLcbo+Rp9X2MUC/R8g3ET1LIAgJ6vsaHu630VHTCNcDre9v4lBNaCh4QtUwptJY1pBFpmgZO1NShTI+qNhgq9ljB0WFIAUNe+ENwgQKqaOpeFE8C0k+RBCJ3RSEVXfUbQPBP2R+QxdwVLLl7TG7DCtak81xgSoCg46z4W/OyQ7iNKkKGlE6NcK9+aBimkPrgmjxUV1KKpuoESmumfghjIQcuptxbukf3MePM5k9Ij/TJYQkghr1JCx3MItq84OECsXNewBeXM3HZ1snJssIJOKrRiO5xc3gOxzGvZr0qj1aGbtvS2SZ+E9x5nnHHGfQAkSAEieMKOMxtQuIjpYgQA6ieQgpU1edV4BwWvJFclp+maKXbKj6YqVOt7XD9mzRjbzPFCD2IRiBBVf0Qr3JUnD4fZcs5Adz+pIiuNnbVA9A7YUPDsTglA8pJrafAmgYPV2oiL71mFTl9gT6x9T0WlOnwREcq4JNdhphxj/biPfqgxSNFhMo4VeR4732iI6yBUGCcJWUffovW8I9TR63j7DoJ1LQdpAuS6cJAj5cOZEhNKyCmQahNB1aVH5GvS0CEOcRFePgsyaw2o30c0WvHnFBz2GkuofyD7KNhSiwFAycEAUspeViv0qZyJzAsihzoE1OMAeK/UEyVakgqnzmsBJJunEMbtSKRY8HKxSlMWpL6bbokPocHk3kksHWNNOIc0HxOIiWUmQGfGUnJ+XAKB2Di4mh0HFM3DMJYOn8/nCDEHUJndTNK8z89CneKd7/wMkCnAkpg6C1xSZjUaYStIaHv84x+Pv/7rv8aznvUszMzM6PYtKU/CuRQ55Fj47jLF8XXiO6g7+wtAiENVnKYVeKnSbaYXMe4FYI59L0IFRcrLEarfgFzLAS6WgqyPIKXEG8NfqpZuXxbRvGunpQR43Ym28CJPSivZ9TJUewSUIpClUxF5mwCDl6VBTV2lXlGj9OyUnioq9BIQ9HyNkEBU7kfAQe7FpyS5SZaCNcnVikrWldBYhYl86vkmOfTRClm1QNF1qmYrAhlMZLySUFQKB1DOvcuUaIkPY4zo/ikWn/l/B+HKNSciPV4BjhjAQNVnK1PKp7MvjDA1GOv1uPy8R1k0GIcC1bhgq4KSFp2WgI2DFE6anr2LrHk3PUK1BnAVC1ZZRxvGwhLBL34nm+0Pl4RnWkPDe+FpeAylPpcs7UsSRtrZR8+X/FpyLVcA1ItKqelElXcpVT2ORO1ADPHJQHUhpdn82OVnZRQI2aZWVZEKUwYGv6LflQZ3v20FidQ++tGPAgBOP/103bYl5kkUiUOf6Y9T7SCe0I3w3mCfxELdA8CCqk5+AxFuogWPUKCXRkd8CxFA6SO8EfYa/kpOs691Gc6kCkpZDgAa2mmtCOcIAQReKdJhjIA40yAsphDORHfxgu5J2HgAEoljJ6podC5Vqk2aXEjLhubFk/hfL+SCfJLT4R1hm94Qa3uLqGJA39eoyMO7qL4dD8JcyRbXfN1H4SKGTYmeb7BQl2oJCNVU+IjposrPhaA5E0UCJgCYDmN4lBgnQBKns5O1sAMXa4QjLYAIJM03WQZOUQRK07XWa0h0CXlq0U6auY02gPCGDCwipNRh6pCzqB0QB1zrClMRKCInIaZ+FAV/LgtORJRsdClF0kSPflFj3AsYjks0tSx/G4EpcEmZkeeqtWltbl2SPfK1AeS13n2yCFJlXp9yiIigtc6s38eOUYyutdSsA+DKPKcj5bGzKw7KWWKTI7dkvRWKKWG0caCYvPZyffBziQS4SsycqP6hVhMlIQJ+7FEsuCVUq6x9rYmhZYTvNy26eHPaatVu2tLbikBC8iW29NYrG8z0xth99tcIjjAVRpiv+6gTWPR8jUge08WYQ05TyQvxT/gU1SI0ybgJXH7Di8kcNM/B0k3OEYZVgarm34vg4FzTekHkr1gTHkiCPPPwAIPIbH+E28qIaocKbpQ0t5J4RS1CfuknJYsZjluEquaMhDbdY5PhBkWlgrznG2zbW1DhHeFQJkuhTuPYT/9sFczCNxlEOk56Ht+o+41T+GyXamJrhJMRe0WTBFS+FxVkSXPNVgbTMiCXhHkCgVakj7E60noXS0Yw+TjUlyEAYkM4U3KbWgtGTjT9FMFUEny/RtHPpWF6JWuw/aJBQ04DHqQNikopz5DonabwWu+LBTsrK+SYjoqAAh0VvMYH+zIyQIhGbyv1EjnEtO6HT6sDSq2zuknPMOUjlEWj8118ck3jW3NWF1aiPN+b4PW7WNPRgAIgAGVMgAQ2RNlfQzWHfrd4p0SJOc+h2+OygB87/peeT64awAqWFKWMcfUEe0N+0zvdx9uKQKKqKnzoQx/C17/+dQDAYx7zGLzsZS9DWU5YXPZeas4RZnpjbNNfxNpyEYVvEMClHTwlIU+5qFzP16i9V22Xf+e/3hEKRCAAMR1bJd+C1B6K6bsH0zDjquAXp/FwvRr9staXyoKDtSpiItMLX7ecxIWL2GWnX+PWX84hhsBhsP2mLSBdoo46FS0doGAgFk3OO0BrNTgpd14mym2b3lBpJLEeKvIoEx0UicueFL5BP1FQo8ZnqigCQyrVGrNgIdeKKeZTCiFKk/uvFUSJgSs0XPl14kM39FBL6yegSJqtoZgkogZwSsE5uzwpEg0jdLsT2obPEQuTrY7sOLXURuwRaBCBQYP+VJUKTaZ1R1wWpL3Q6LiXSSnRhMImoPGsnFRN4LXTAVR1wKgqUEUH9CgVqvNci4igfhDfq1l4JkvBecD5iLJsWvWwnCOEghUI5wj9okZDHqMqW7wA4H1EL0SdQ0S8zkcRGjgHDFLSZEM52g9gC76JGSjqxoN8TpBsXADFRNkK2ygGRC+/O85H9qeZ58zVfmOmudaO0YwDaD6ARo79Rh2AcIEtqLK3fFLnXWlEW+kmba94xStQVRX+5E/+BABwzjnn4BWveMVGV637TbfgCdMlgwQABKSQSmRapwI7sAEkYVhrQpiNd9bonFTJ1YJH8BxM7h0pPRPJsRMrcinrGPlFKFPJ8HFTmDLlQEgaktA24uy1TtxdZ+9EERqsH/ax/s4ppglkxbekzfXKGkXIEVqykI+AgvhExFoRkClcxFRZYbqoWuti9HyNwjeYDeN0X14FWwDTWKWr0Q+Z063Io+9r1BQwTtqg7+jn4vepI/t7Chljx/vqZxfhXXb+90KDXtmgrkMLXOWeyBTxUdpJrAfhqEX7TBSc0CsSLgyt15TGyoPLYEBKnTBAUJEygVNUkaMcNSRKcOyxVhum2IKYHoyX1K8a1wXGMaBAxEw5boGp0HKSaxJ9LoRYNaFV4qWpPRqht4KDq9J9CF0WCGXJYCHP33uuu2WtPCJgUFZwDpguxxg1WSRE4rksqwfacOapXqXVC+R5iQAX8Avk0DhS8CiC16i1GB2qEFHXgek085x0VUMHBhF5RvK4G+b91JpOQOECIQZCM/KZopLS4Mnq8CFiZjDGajXaChLcvvvd77YWB/rd3/1dPPzhD7/HOnV3mncROwzmsbZcREg89ygWzKNTUGdz4Rue8MQAUlO2Jqxvoo5eX2BxStuXNKTw2drUJQIAqj2ox9cqQy5kBwDjOih1YgXepAifOnrM9UZcAmTtIhpZW4Gcru5WBua1SxXCOXtbz61O9AxCPd+k3IcmhQQzrbRNssAiOVQU1BoTf4QH+2T6rkJFARFZoIPQoprEJ6FWWwIIAC3LjWs4hRT5BN238FziY6qsuMR7AvtGBEQA5+14cDY6Cf0AFggSWmmoBXHYCx+v4bUiWD1zTOR4LWQ0IecbBEI9DcA5hJId2LEHVHMcmkoloZlr0FszxqBfYaY/xqCoVEBbH41zqTy6i4iOt/V8kxWFdK/jGBDTcf1QY9QUOn8qHzAGB0A57yBFmFzDq/YROaDXoAwRg36loDtVjrFuYZqp0+hYyQgR/VBjquRABLLvg/QTbBXI/VRNQBmydcsUWZ7b/VDz/kVOFq1MfY9IDtTj/KRRXWBUFWhqnyyHHGYe4VW4c5l/h9hkQJFsfLasE7CUDT/fyrMvK7AVEYqImekR1vSH2LCMHLlrbcv2Sfzpn/7pJvdZs2YN/uqv/mqj+6wIJEII+OlPf4p99tkHAPCzn/1si1tXwjvCXArTLHyD0jVYpLLFmYeOIAZyVJP3bHmMY3tINNnLZFQDTBHIiz9VcF2j8ahU7rdn6xi1nKZZ82rRDGKVGAHf841SLlaTtsdNp9IjAIOE9FH8MDb/wOYj9KTOgUsCwlfJihhhMfYwqgtMhYrHrClQJvDsu0pBQe7DNvH7FC6qdRBT2KzsPzZRUtGxgBzHQscECbx6vsFsb4Q73BQf6wlNAxUIEknjQsNJaCbJwSdqQaOdAIRE/XgfEaNHnZzCQs0A4oAlREpBAw00+S72I6rCoZpLPorpBmG6Qkwr6fXKBnPTQ8z0xuiHWp+/5uLEgH6o4QsGjdlyhDvHg5ZPQyK9Ct/AN2WLDi18TM++j3FgP8AQ7ASOAJeVF4q/9oiO0JseYVDU2HaKo/Tmq55SPzIfRbGoo9dS92IJC7jIfGRLp8a60TQ2jPvwCRCsguJBCiiz5Vh9fuMYVOGyc6eOHvPjvvr1ZEEqIiCGtl1ahggqzLto3BkgfvfIs0LQFBwg4YuIooiYmeKx6Bf1KoHElm1JnH/++fiLv/iLje7z7ne/e3VA4r3vfS+OPfZYPOhBDwIR4dprr8XHPvaxlff2N9C8I/R9De+i0h+8PSJSWAIQAh5SrE6zspOjVrS/uuGS1zYzeGic1kXKSJ7uVRj2SoS0fKcspFP4iGFdAKFdCttmMkv/u/4RoSmmAie3yQs2nZzM8sKKr6UIsQUy2mdQCxjk/uRavTRupUtWRKfUQOEbBYfSNXq8R4My0UNjFGqR1GiDRx3z9cQ6k7+Smc3UXwnvmLsPjgXlINSY6lcqPBqfxi9plnUVFAiIWMj7gqvWAkzLKM1WMH0l120Kj6rmku3OQ30fzrNgYRrRc/y0XKOMQMn0Reg16PVq9Hu1+hy2nVrAIGQfkwh9ifwSkJbnLhWKx01O+hRrVyLGAChFVRR8/GJdIjherreu2cMcfUrEqzleN/QajKoCZdHgztFAqR5Zg13K2zdpbZM6PUtRgArHys4gcDDDTFLC1hRDzBRjjAaFBitICZZ1o+mWZSRJrPLMZ8tM9RRG8Zotx9hQ9bBh1E+FI12KsMpVhKWReUesE5otoBTgZwI7ikRbzvVGCCk445fY/MZVFbZckHjNa16DF7zgBRvd51e/+tUmz7MikHjsYx+Lq6++Gj/+8Y9BRNhvv/1a60psCY0Xr4lYUww5HDXVLmCtlqkn3k80eaY3RMDCAYNQoSaPcSwwboJWj+X9lzpZrWWxw9Q8vCPMj3uYKiuNFur5Gija9BUgwiPTVF3KSQT8bDnWF0wEDINEk4W+UGapv2XSYEcmgkjAU76PY6HhrbNhhAiPCI+FGBDJY7YYK0XXT471gecQ1ioWCIho4FH6qJyzhLPG2HZKC61Vw7esnXEMek+sbbLACaHW1f16ocGa/hB3YqBaL8AacFFYjj6ASGgJaHmRWLik6RN6JdNXQpcgNOiVtTqEm9priKbzQOg3iEUEVV4zoCX8OJTsCJ6bGmFQVkoJbddfaFmFIiQHodIFanqh1ufUkOPnFxymUt6J0HziIxIrKxJXEehRA19m63N+1IMPnqOJokeT5HBMK7AtDHsYBwaL4JheGleFqhOjutA8o26U21w5xEwY8bzzY6Y3XYO10wuo0js1igUWuAoh1paLep8RDuurAWYDg8tsMdooPTMInNA5X/UwrLgwZBU9+mCHutC9DXkTEOJ0pckmZtqtLBqEEFOBSLaG1vaHClyr1VZaluPegJI/+qM/Wva3f//3f8dTnvIUvPrVr97keVYEEgDwve99D9dccw3qulb/xPOf//yVHn6PNw9KETlS/jtgsemxhjxhf3XIOl4AaCaMsL4esFZkImyArOUDEqKZHdYSLjsINTBYwHQ5bpXElmihBerxcbFdrkL2sQ52uY7QYAA4HBQMbhJ91KV6AKB0DcqU4V24RrX/qVBhFLMDPTqHXlFjOlSpL4BHRIOAqTBO4a3smxj4is+bihdFyZymiBpspRW+Qd84rgUYAKBA5GTGBGZd6imSQy9p/hFOuevCN+hRjZlyjIWqx87RIq+V7R2BxBGdFkYSaq5IdIwnoNdLIbUmoshqplXgxagWRyWahnSlQAAoehExLZEq3LdzwKBfYVBWmOkxheFB2GEwjzXFEBuangp8mYsVeUTfKFiXLqJZRnRI5BjAAQNCjURy8MTgIADrXMr9GZecrZ0impoEELH2GDUeVYhYRAkfCLNTI5TFqBV51BCv1+4dYU05QuEb7NCb17lQukaVhNI1CEhrnAPsn0p+q0geFQWsb3hpge3KeQDAYtNTf5fmL8Gpr8qDUoY/j1s/WWPWgpcE2GHDCk62hLjsv/d81uA5Uss7wrjmhcXWDhYxXfC7WfpVim7CyummewMkHvvYx+KLX/wi9t5779b2j370o3jHO96BpzzlKSs6z4pA4nnPex5++tOf4pBDDlFfhHNus0Hiuuuuw/Of/3zcfPPN8N7jpJNOwsknn4y3v/3t+PCHP4wdd9wRANdWf+ITn7jJ85WuQQOPxaZEZXwR9rM0qyX3iprzKYxz1Wr4VpjLpG0XphNNOGKHch7DxCUXLrboK9lHmp38NqHMNqHRYkcAiyDxJsuodNlR3nesmYpgt073USywpsjrgXBfG9TElsW0H+v+w1iidA36vuIIJ/DLHVxERaVev3QN4JN1pbRzTGGyeZqJP2PcmHwKx5TTdNGoIIgpe807wqCoMSgrNNFjOjSom8AaJBy89xiNS4QQ0Str1RolsguAhvxS4tml1DnAvpupokJdesz2A4ZViWFVYFwVLASiQ1HGVJsL6p+aKmvM9EZY0xthuhhjJowxFdjqW+OGCtTy/EaxQJ0sNylkWICVFZmL8jk4Qj8tesCZ8RHzTT8JRh7vXmAHfy80GBcVgh9w5FRySOfchPQkotfQ6JiuIXkyDKoN+qHW+9m5fyfWFosKCvIvICKkbR6xReMGcF+HscQORYGQPi/EPiRHRubjr5sp/KqawcgViOR5TqVnstNgg75fpW8wSlWFbavJY6HuoY4ew6bAQtVTP4gEdPDcYeVgu/4Cegmcp8JqRTet3HF9b2RT/M3f/A0e//jH4/Of/zwe8pCHAADe9a534R//8R/xta99bcXnWRFIXHzxxbj88sux2uuoFkWB0047DYceeijWr1+Pww47DI9//OMBMJ/2ute9bsXnshQQO0qDTkzl7I0GwZwvC9vFpofaOFdthJM9v2QPyz7iQxDhP/Bcw0hoJaELFup+6xjrqBaBIRPYTzCFy7RNwk3lX+ma/MKaDHN737n/vN9C01PaQBKBIjk08Og7tlDEchhSgbkwRAOnAqLhRRdaSUQKTCkySa/tgMI1qFyuOJdDL1l7jWlce5KI50mfk3V490ONCuyXkGgbgPNXpsoai1WB6V7VWucjP+u84JSEmEpRwpYTnRzmypEKnXETVNsWgAguYqY3xraDRQxChZlijClfYZtyAXNhiJvGazEVKtQUFKTvrAcsZEOjlJ/tY+FYwAJQlVPKo8z6IarIgQOjpki1s1IJGMd0Zh34vhbqkmm01ISS0TVLBIxMFJVE6fV8kyimGlNhjNI1mA1DtRAGrlLFwVqV/L3W/peOgadJC0nP+UWzX4P1cQoNOQxchWk/xiiWGMYyWSMOa7C45PnZeQPwwlyRHEaxwHzTx/pqoKVcJHrPKmOzxQj99C4GkNJfq9GWWQZii2hPfOIT0e/38Qd/8Af413/9V3zkIx/Bd7/7XXz961/Htttuu+LzrAgkDjroINx8883Ydddd73aHJ7Vdd91Vzzk3N4f9998fN9xww906lwOXdLhd6g13mloGSbMXgIgpYQyQSCCJRCk0h2IQ6iUWRK4eGzKFQmz2yksnDki5LpD5aO+oVWQwJL+BAIVSNerEZFO972vMhWG6J355B2mpsjEV6DkWQqVrUFHA0FR8i85jOozR95XSApJRLpyvWAylnqdGRYUKhYagGh9rlfzSCq0VAsFHry+9aIPigJUoGqWcOMNEx9q7iAI5yaxEWihqQlSMRJZFcth+qlHaQteziB4NeY00s/4l7/Iz0vFJgmgNgLrPzljpqxQsXNMbcp6JUn4R25fzmA6jlsY9F4acmBYLBQ2PqOAufQ0dpaAhr7+Vvuax9jXWYBELrqfCsaLQCi3u+Qaz5Yi/q5Wb51FNHsO6UOuNI8pCS5gOAtNJO/Y2YLtiPvUzqmVZukatnooCBo737yWrIiL7DebcUD9XFDCmAkMqUboapQN61GDGjzCmgBGVmI99nZM5iIItDEtP5WfF+/Z9jZ6vMV3kSEZ730KXjWKh4DCJpr27bUuObgKYcvr4xz+OxzzmMfit3/otXHjhhUtWGd1UWxFI3H777TjggAPwqEc9quWw/rd/+7e71uONtGuuuQaXXHIJjjjiCHzzm9/EBz/4QZx99tk4/PDDcdppp01EvjPPPBNnnnkmAGDhVyN+wchxXH9K/gLY7yDNp6I7Mf0Th3bm0XlSDuvM3w+bQv0MAhCi/Qq1ojkBKRqkSAIfkOghfmktpRCbtrnaymxOQFImMBOroe9ZA5Pj1oaFJMQTb9xdm9EzeERyWBsW0CAJcFCi55J2aYAh96dWcBDwieS0L2pEUzRgGFGmkjwRrIWOwfkq3tB2pWdfUFBLqknrUXjVXoFMC4rmL3ktANQJaalBsRaAnAk8W45TpFAWknLMXKLd2F+TrSPhxrt0EABM+Qr9UKNIPP1cGGIuLGJ9MwXvCDuU67GhGWDgK6VcBMgtbdeak6bZfggNMwhDDHyFYSxb/iKha6Z8lQSqQ9eC5HEJiD2Hnq81zFtoHLvux2wYY7tiHmvDApdjSRanpTUBYNqP0HNNy4rwIAYMx5RUQx4VApoEHgNUre0VFaioQEO8OFcFoNQximhcnqt8fqfAIdebThTfdKhallbpJDF0hMXkI5JxW60ma8ZsqW1ubg7OORARRqMRLrzwQuy0004gIjjncOedd67oPI6WWzfPtOX4q2OOOeau9XqZtmHDBhxzzDE49dRT8fSnPx233HILdthhBzjn8Ja3vAU33XSTFhlcrj3gwG3w4k8fi1+mpa0CSCcTJ3nZ6qTZesgJYBxuKMX/dEU7E+EkUUXiZK4TGInmZ4GgSJqQLWshSWK5Hw6LTY958kQhAUgaHDueg2ifSauc9iMjpDlvYZBequCyoB/GEg08hrHkCq7JagCQ/AlBLY/lNFo5V0WF/j4f+6goYEMzUK13GEulQMTiEUtiFAvUFFDFgDvGUxorz3x5jlQaFFySfBAqrC0XdXxsIqSEWk7KZYnkUuhpptrEWpgKYyw2PbX4hGoR346l+boCWq2h5PwPiBrh413EnB9ibVjAiMoEEhEBEQuxj76vMIol+r7CQuxh4HKocbfJdZZrvQTYDXksxB6qFL1XUUADh1GyGC2FyPfgcyRaejayjZ8jK32zYYRty3lM+zF2KX6NaT9K55Z9C7234AgDN87+rqRglGYOcUmXAmMKqJImJX2WNowlhlTqZ7mfhdjX8ZWoKXk2EpgiVlqEb/m8ACg4DHyFm0drUZHHg6Zu12uMYoEvvvgXuPjii5cd75W0qQfvhgf+9Ukr2nf6r/5js693b7UVWRKbAoOjjjoK3/72t+9WB6qqwvHHH48TTzwRT3/60wEAO++8s/7+0pe+FE9+8pNXdK47qmnV0iRDGAD6BZvl+aWPCHA6uVjIBIxj0cpbsDHesp+0mnyrhLZQRWz6i9YN7YsN8RSaYjH2Ev8rPpAEZg6YSia+B6mPQPplhczAV8oXizBoUjmNAHEmsybnPb/sIQW8inOU9+34QpzxbRhtKSDqSy/NjktAREy/j2LBwBeBxrEQnC74msO6aFXClRDh6DniZSqMeRxSH+sYUHmhTjJwiFAvfYMijYv8LsJftEgBLAH2buOEwfY4eGSLTp5HmSy7aT/GnF9kC4PEqku5LJ6pDdGKp/04/03atI6fBDZ06lnpmLqoTuJpz8KvoqB0YgOPgasVMCJ5pQ+lP32womHbhnqAPQbrlCLbLmzAjB9hxo8wcDWGVGA+1SGR+xGloif0I5zeGz9/wjBZCON07RINhinIYeAqVMg06MBVrMykGEQeV74W01MZiBaIAaOKDF6jFBq8plhERYGPDbkC9K/qGTRgipaVJR6P1YpuArZ8umk12opDYDfWhsPhpnea0IgIL3nJS7D//vvjlFNO0e033XST+io+97nP4aCDDtr0ucBx6l1qQLTxygXmchE0mgeB6YxxLDTOX6kLKR2OHMppa0H1fa1CCT77HESTjuJkRtZImV/OPHjhc1hr1pACZt2oFXbaT1SFOh5d9iFY4d6YGArhiEWjDmANtpd45dLVqiVaSkW2yctZJS4dQOacifusWutGYjdkHGoK2bkIanHhNrFOhKVw+WJVwTfpWTiUlJ3+er+O1IIbxaJF6wE28iufU363EVryHGQeiOVgfQQiyObCEAM3xvo4pYCrzyf6BMbUsta63L2UrNA+moihxgggoXF6iVKM8BhTQOn6atGNqVDwAIBRikxj31WN0qXFtSjwfZUNtgvz2q8ZP8KcHyoAiIKS76Np0U5MIVELIMZgoGJA4Hu9I07DI6LnagyJhTXfIytZw1hi2nOuTkVBwXga4wyGlH1rfV9jQ9PHtuVCy6LzjrChGcC7iF/VA93XNrHGVqMR3BYNEoceeii+//3vb/Y+qwISdzfq6Zvf/CbOOeccHHzwwTjkkEMAcLjrpz71KVx66aVwzmHvvffGGWecsclzcUJsBFymaawFULqGM1IjUCEoMFRJswTEcUdLTP+asvNZKAp7bslHEOpqHIu0LfUhZu2lcJyUJMfON/1WfNxsGLXojL6vVMhElzVNdSSmaCPJZwDy50hetTKlkwjwLn8PiBhSz8TlZ0Eg+/TSdWKKahK/AbC0VLJ3hNlEVbCV1Y70ik2uLSUZ6OI7sIUKC4eUWEdJm+fzVwjwyU8jz1ioLWnTfowGHoVECiWwjXAtys1+lnspjdNcBLs8C6FVpv2Yte003uLQFeEKIAlyjuKx4CP722gmEf5NooLkucC1gV8sQEs9DVIdrSH1UKZSqkLjROfTvXOfS1cr9TjnFzFMmvmMHzFdhKZlIYgSEkAJvGy4tQELExptf6uowDD5y6T1knJSuhpj6qNJr1meu4WO5TiBw5DK5KSu0Aff77Y+++C8Ix0H76JSb6zEBcyGYcuKWs3y3ltwcBOuuOIKPOxhD1v2dyLCr3/9602eZ1VA4u62o48+GpNcIivJieg2KQDHpSKa1oQOjidGkegXJJ+rRAstlzWpyXTJryCUUufC2vq+RmPoJql3ZHWZnPFtoq0SNSIJRNbEHiglxCQOa4G5RfKqyYuQ2CbRHsGNGQjNEcFFlGhUSPJaEbmHy9FOTaIwrNDK45QtjUhcj4kjnYYYuhKLTYnpUGExRTj5utR7t05n8RXIfcFJrgFTGlbQ1knjtOBgx86LsBeaKFEQFmTFQrNCjsNNs29IgME7tgj6rmJt3lfwidcPSTkZeM7lYGerS9otX7f0dSuooGfGXK4zNvdn52R3zD1kkSpLm4wB9BRoAiJmwxA9AxACAOOkRAxQKdBEOLUUgovwBkDFv5ep3DY92cC1nk0Dp4JdotcEKD0IY8pAGBxxzxMoDNw4hwG7nFS4EHs8jq5BmZSsmeSfqyhgfRwgkmdLIiXWAsDaYgEzfqS+tIVmFStF0JZNN1155ZWb3GclNfhWBSRW4Pu+xxvBqWZpQwylsU4RU8QG1KKIBKWNbFQNkE3VvglHXRIdYRKBpGSFnEdqIIlFwXkW7DfwaDRDPKRs076r1OJo4DDtasz4UcvUbt0TOcAJPVSrxSEURgRr7a0Y9o7WB0C150nO6y5Hr8cYOgpoU05VsqhEC19EiYY4uU9KTEimupTfkByUiEwRNZpQ12QN20RRSbx8KwosaZijWKr2r332hhJKz0sjc8QiMaG/VhgGFxUgBFTlnht4bBPmWxrqnB8qkAx8hTWe802E4++OtdAzk1oEzzEB9QjXEtrCtcuzmPEjBe41YahWAsA8/05hQR3KM36kloIdmzJFAtnoNxmnHvIcVZrU9Gc+9lv3J3OS7yWvgLg+TmGAnNgmNFqL3qSUo+Ej1sdBy/E/pkJ9G5F8slqYnrWh4cNYYpRyMQC0AG1zG23BtZv22muvVTnPikBifn4eU1NT8N7jqquuwpVXXok/+IM/0EWHzjnnnFXpzOY2oQgALInYYc2M6YQGhMY51qg9qc9AqsdK+eycTZoFvtQqArKPQEphjJoiafYs3EaxUAtBllC1cfIAsH05j8XYaxXQ6wo34bFVSCQnnTic2X/BgsvSKFZrBhgMRODYF0WsC75Tr9cMjp2QDK6W/4+AiZaS/buNw5DZcTxf9xFAXKywdBqh5GPbmigcj28v1CrIpUkI4yiBJvsLElWYSkaI9TVdsPBREOuEhYrfpUUFOfCyc8iavvUlSPSYPaaiQgFC8gBESA8SqHhEjE1p9eVaMM/d0p2RHFsZDohG0DXJSqyo0OglmQ9CSw1crc+mQsAAPFc8MpVUunoJ9SbWUZOoWnEMS//G4FIj8r1MQD+k0lgk1FJGeiDMJ4orJB8IAAycSW5Lt23np1gC037MdFWyaDVEPVktVSwwHdivIu/BkBggWiC7ymGw9/e2IpD4nd/5HXzjG9/Ar371Kzz2sY/F4Ycfjn/6p3/CueeeCwArcizf000cz9Lyes1RzVTZE5TM38RvI/ILOB0qfaG6EU0+USj82WrObCU0KWpK++KkRHeu85SFXKGF9QAgpMSrbvkL7yh5CBggrFMPQEsgyHWt4BahIxRCQ1kj7YYvasgwdfwXoMRjp/NRWlXORaZlIteBAqA5GEL7AaZcR3CIYOAsXIRPBe+KEDVSTJIZQwLL0qcorJQFDgC/rqd0bLzLRQcHjqk+8QEoWKZs5iHKlkPe7mMFYxcUdCyTtSYCMzimh3wC2CGV+jwkyowFeFAArhAyfdjV3jtWhC0FI78zBde0tHJ+7myFDFyVIpOYRuq59gJDPTRonNM8hTbt6Jfm2AAYJLCc9pWeZ4yQQnpzmfqqozBUYAvZWqlCbQFspU67UYv2BAC4dqhsTuoMZg5DAUnAIbiI7YoNSktaJ77QiOKTujdqN92X24pAgogwPT2Ns846C6961avw+te/Ho94xCPu6b7d5dZ90RQYVJM20Q3R1GXywJQTZ3GnHECnlhPQDvkUh7VoTJLNPZWEoE/OWyn4JkK0K/AlmsnSID0Ja0wakV7XRZRJaFmHoqXYZJu+lMnM53DYTJlYi8Xy3FYDZMdxhKeYwwiTxRVd1IQrUIRdVJqpLh7ztcUiFpoe1pS5iJ8ULyxSv9mS45wSWdyo9AycQiHNhpHSWHpfacz6LtcWUuFP7TIS9li5twgLmlE5fWvFCMBwZFKOBlvjF1PETs4dEEEmx4lPqESj1ly+Lj8HC1btEjPt5wB4nc8BwAA5N6TXuk9D2SVKEgBAAVUCBA5XzaGpc36MeSoxcHWKxmta/RmnyMCxZluTfte+W4vTUHXSMmhkK4Ofk1B3iepT5Yh9LD3XYJjApIFYEmzJBF+p/0WAQ5LuBET0ObrJeSp3qxHMet1bdrv22mtx9dVX43GPexwWFxdR1zXm5uZWdOyKQeLb3/42zj33XJx11lkAgLquN3HUb7Y5tzSDWF9yNaUzTcBrX1Ny3DYqjABonLkIdCA7QqsJtIECRIp0mi3G/IIk53jpcw6DbSLQp/1Y+yqhqRwOSapliYNUBFjPNUs03S7FVqJRDlnoAQGVbtavvRf5zYa8ipPRU3IOEzrClqkPj5xPkAE2JSMGrubaS6UUpFw5h5fmhEIpcCdRXgHElAHl0iECUtMmlDcaH41aWK5dOE/GWNrAZYthLKGhWHqMjAffK1fLnTGRYzNuZOi89jORMZHooSHl8/B+DM5dBcVaAaU+s7bgluuEFARgnytbjU5/H0NyOHJ0XelqzLgK84bCq8hj4BoMXMR6UzlYr5cELVORS+dRTLSuvieUjwOypWATXgG2tLoUZpP6PE7KktJiiJj2I31XeoYy035oDk2dAAUtGbEa7b5AN334wx/GmWeeiXXr1uGnP/0prr/+erz85S/HhRdeuKLjVwQS73//+/Gud70LT3va03DggQfiZz/7GY499tjN6vhqN4d2Al1r8rYEJ9TBbB2ZVttsXM5glSamqjifJZJHf0+fJX9iseHyCSPicFhJ/uHEq5S162vNwt3QDLBtMc8aH+Vr2hj6zKPXLS1XWi+9ANbEF7qgR01yGjbqkBXQqvTFoyUvLmCtkZqL9aXmHS8Dy1YZU1Gtll5qGdeIdrXY6JzmmEhosQ1tFdpOQyuTP8dy75a7FsHZEBcrFAE/cGNUyBnDMp48ZkmTh8fAjTEWAeZY38/PPwOs1LJiQei0TlHpItYnx7SllQDosS2O3jyLrnCXFqS0DChFmtESoS0RdzYogbVor89zjByFpaDhAgbIFuWwFaZLWB8Lnk8mikyshvnY04gkG0IsSoXcs4yl9KPpACSSj0wCLDQgIvlagCzs2/6SHLK8lKrz+oy90liN9mH1AmDdFu24lnb66afjoosuwhFHHAEAeMhDHoJbb711xcevOOP6mGOOwfw814Z/0IMehA984AN3o7v3ZKPlzUgTtRRBTDuF7KQGoFETkRyQhIBMelswLEf1sJ9CkuRUS9XqsNkS0Th9AyQ2/l6yd602JJnTImy2CQuqAUvWNCAvYKatpPVc1sJDctRLMK5qoZTDK5tEQ/E9RrU6PDJ1EeFRCZhG0WDFYvJLMrFta+Cw0PR0DKPziJRDivshO1OtllzFItVAyrkjIkyksKBHzjtQB246x5yXbNxOyKmLLQFTommNNwANxZQSJSUavUcJG512YwUIAVuJ0pFSFetjH2Xah60dccovtRxCmp9A1rStdQfzPBo49NSHxr9Fysmbcj2xtPh3hzW+xjwV7KNIIDDtKo1mKpMFIXNB5m2VnnFM49TAJd/DUlpJvjfGuZ3Hn+/fhvyKg10CK7gvbEnwM/e5goH67EyJGwOsNvnUqnrVMpbPZrX7gCXR7/fR6+XyJnVd36XcthWB6re//W0ccMAB2H///QEAP/jBD/Anf/Ind7Gr92zzyMLY/hOHowi0MmWeioNTvltNXeiM0tdaUK/vK96eFi0RQVR6yW9gMJFSH7KgSkjO1eAiZsMI02FsnK0VpIZO31cGlHLopVYETX3uOZOIZe7dNs7KrTFIloV3knMhob6WwogJ5Np8uN0mjfswbjlxSyO85V/3GUhtodI3qQoth/tOpTUYilRSQ2g/IId1SoE8cUBKEwuiZwrMVRTQS9FFEmUU0c7tCBKaayigEmklONfov/Z4ZoCwxe4sQAAc+jlwleH56zy+IBXCmRqKS54lBxLwP/k+cFG3dX/jZ7b0fbD5PD1kZWEbP8IYkvdDCUAohY9yX6sUPSTAJ1nUQyr1/sfEmr6Aq5xf5k03UksAkJWX7EPxxoqqEFJJj6XKRq6ksBSIROGSEjW9FA4+8FWrpE1+11eJKk95Eiv5d2+2Y445Bu985zuxuLiICy64AM94xjNWvOAQsEJL4tWvfjW++MUv4rjjjgMAPPzhD8fXv/71u9fje6g5EGb8aCkvKZE3y2VZivmdeHTJ3rWlsm2opIZSmhQCthhY++kHLhmg5b8RW8eLkLDbBKA0i1qiVzqZ3+pP0fBMBhqhl6RbbL1EvVY0GCLbu853UJvKYLqiUDohC21CAw6BlVwFyT/hEM1cBkTLjbSiy9Jz0XuR0iN5/W2byQxAabmWL8FQhbaUSN9VmmUOIDn8OcpJBIgtMZEzjDNlwi3oOSU5Ttoaz2VoLEBUol2T15wIAeV5ZJpJLDbrX2pkMhFTnZboFoDPsXRI2n5aTdBlsKiIFQJQpqzsM532DSJlWnEMj2EstBR+4xyGlJe8tRFLw1St1Vpaco+y3ojM5RI5QKMFhC7fb3bOs8XF456jt9prteeEURuqK++NnQdijQiQL8S+sS5zFOCqtfuAJfGe97wHH/nIR3DwwQfjjDPOwBOf+ET88R//8YqPX3Ey3R577NH6vpJMvd9kk+Jn7SqeMrEcotu40eQRNf5eJndXWFUUWkk502mFq2Es2QkuES/FELeM5jDbW9Bifn1fMX+fWqSs4VqeXEAFQCsZq6ICkqsgdW5EwxWtTQT6wIa0ou2M5utRCjXM8eZyzxFByyGI5hyMABUNUsJypYmjHUYAgpLvxowhwHRA5TnqREqI5FBl0WaDhgNLkTx+zlEtq8pondN+hDWplhIAXb9AyqhLeKiWskBQbVooQ9F2pb6QBDwIqNwZB5yklawFscQAFqLbh8WkcbOGXTpSJzXAlMo89RIvnmnFSA4RAU0Ca43G6ziiuS9ZyEXXiUJzDBQ9C0rI66BIX1hbl7wbr2VrFqSSbPJryZhwEEeBNX4I67DuoUk+tWQluezTEqe5hNtaP5hYz2NTF4z9M0Knek0g5XpO0PlXJgthSWUAAAMTbNCQw5B6mPYjSD5R24+3Wtr9lu2TiDHiYQ97GH70ox/hpS996d06x4pAYo899sC3vvUtOOcwHo/xgQ98QKmnLaW59CKzJiLx4ylMzgHNRiA/CyCeXFJorBsqCQSlVqSGDPP9qeJmCnmV6qdTfozpMFJaSR188KjAmu0QpTpgRbOV+jpW05VmrYicL5HpC2nj9PL3kuUgAmS5yA7mm72G29pKnWpBdMMxXTt0MyAusdgaSNXdpZneElkmHLIksgkwWE3RhguXrsaISniQFtkb+EodyRIjHxDRM4ltbMGxgNfIJOPMbZCFk20Dc8zAVZinnlpvAvQzfow5H/Gzag7b+MUleTbS1NmbrMkWjaaWRFrECe1yGOLElnpHFjCqDlhYa0Qoox7lKDdd64E4U9m7HA4rtbrE7yCWtfVx8XNo1DLVsYRYdun6HfpU/CAAMPB1y1oRai4qwHmdc6WTOk1L3wkeC7HE+TxjFAiOFzWatP+qVSTawi0J7z0e/vCH4xe/+AX23HPPu3eOlez0D//wDzj99NNxww03YPfdd8ell16K008//W5d8J5qHoRpN1KBIfykZCNzDHs98R/z6Py519Hm+dwRsjhK31eYSxqVvAiD5K8Qh/Ri09NEr258fnC5QNvAV5qda6tvyosh3/OiQjmrWhcBMo4+y31LEyFjX27bhCevkuY9pBIxfefj2doQCwLI4bDZp9Nen1u0YxE0kwIKqli0KAArgMSv0a1vJGMgIbLbhHnM+UWUrsGMy+UdgotagI/3b8fwZ8DImq2Mhd2P75U5dkkOEx6+ZwIRIjls4ytUhFQnSSiozKML7y/fWxFMqS8yThlg2lRTQxkg+DxLhlX9Fd7lKKd5KjFMkUrRaPcC8JKDI5aozUGpBLAM0GeOP1Oaso/Mj+XWxhAHPpc291gfB+zrSGHeQ6E4QUr3iX9pOoG0vrfJTrW5QhLEIfuJf2rgxph2I/23Ko3A5txK/m2kXXfddTj22GOx//7748ADD8Tf/u3fAgDe/va34wEPeAAOOeQQHHLIIfj85z+vx7zrXe/Cgx/8YDz0oQ/FF7/4xY2e/6abbsKBBx6Ixz72sTjuuOP030rbiuB0hx120OzqLbWJI9jWuYGTSZM4TcoWw6QW0Cg3Pab2fjHx7iUy9xod8++jmJdObMijH3KBOJugJxowALUuOMmtI2BhueCs2fb8qKVZ8f6Oi7E5KbHA2mIg6zjM99hDxNicX/wRwjRLspKMUwBrvkqPScy7UAcppBcOqY5VbhWFJRFPQiVJOKvQE+oXclk4SF96mjQo2eEcQiwRRkI/dZvQZsHxs9NCiGZf9h1BgVCtN0KqwsrjmynBHJkjQQTBAQPnMCbC9n6EeS2dket6iQCW0h0yP6Wfg06fROCyoG+DBResbH/u+i2G5FvXlxyheeopDSclN8THIk2AU2gpmVfSn9Lxb7af+myTwzvnM5Dmr9h75CTTAtMJ3CUBsZcUBynG2Esg3y1KyfeeFQxZIMmudWEt66X1yWaWzJe701YjT6IoCpx22mk49NBDsX79ehx22GF4/OMfDwB4zWteg9e97nWt/S+//HJ8+tOfxmWXXYYbb7wRj3vc43DVVVct6wJ429vetnn9W8lOV111FV7xilfglltuwY9+9CP88Ic/xL/927/hzW9+82ZdfDWbg+QJcAVL4SFFW2Ln1fLHy4QaI8XAp0nX/V1pKIKuPAbklbIA1kRn05rHwr8y9cEJRqVrMOcXWWilOSscu8SAyzoF9vrCt2qce3KoDlFiALacIM5xF1saaTRRTiAGChbQ0D5zzDoBiIAJx+05rjFqDZF2SWsPyc7VUgmm4FzLKnMRzYRQRKvRqy8ogYUFCLtkps0LYT9LreUoxCKydanEqcnXc3o/YvlIDkRj9hNLYhpjzWuQ+xahV7qIMREWyKN0hB4ihhQ0ea2U/iShLbDfIC/FKYKUz90s8SMBptRi2lxRpgIsgFQtSzLPYQEI8S1F8ur3kjnDVqvUvWJfRKXnTomLUjrftXNqmgTqDeUVGeXeejo/pCCgKdFh8ydSfkxAdpC3y5ewRaZrxrt2cpy1Gptk/cn2JRWcV6OtAkjsuuuuun7O3Nwc9t9/f9xwww3L7n/++efj2c9+Nvr9Ph74wAfiwQ9+MC666CIcddRRE/ff3BVEV0Q3vfSlL8W73vUuLej3sIc9DJ/+9Kc368Kr3XIIbMSMH2Paj9XJOEiOS4kEsv90e9L6RXMRYSwhkUJf9dMqcMKRzgVeajO4qI5soZL6ifaa8SPNt5DIGxuBIfWKAONsh9c+8TnrVrSUvBhjs04wCzinJn0PsUU/yAvTT4JMyy10iv35ZOrbF26QooYylTdumfJ2jW1LxdlcFNm2NiwqpdRd87mb7DYJIEpxmCIX0ZOMXAFHCUG10Th2GU0RlNJEUFmBJY7SOT/GGj9SK2ddM60hxkydRAxciloDKdUjkT2NASYps8J+L2+UGKZ2Ijn1GwwpoEoOZ/k7JI8KruWDyM+uTUfZJveak/wi5sIiQgJEySGQeWWru9p/0j+bwCflQyz9Js1+HqZChDmCcEIZHMrVnKfTe2zDkptkOQbjm+BghLoFOhFiAdUqA8TRPphgdd7tRm5F/2677TYcfvjh+u/MM8+ceLprrrkGl1xyiSa+ffCDH8TDHvYwvPjFL8avfvUrAMANN9zQCiTafffdNwoqc3NzWLNmDdasWYPBYIAQAtasWbPiW1yRJbGwsIBHPepR7QOLe3UpiomtdFJCgtREh8uJcMDSOGvbxGTVWHiXQ+qAFG1EfL4mVchsrcfb9Fu+CFl/QBzROUu44XLKKeJCrIS5sIiKCngwLTFwY8gCLQ08SuTiaF0KRUzw+djHTmED7wdZexv6nR2DaSyQgZAFgFdqgqmXdjarXZuiTE5rWcDIlsCeccwd+8irg1VACzSk9LNQSjaL20ak8flS1BV5+ETRCViIMBcqp1vcEASMNUrGoWccwTJuY0rOVHHAq3XBxQJnXMUUnfPq+GUtuGEwSNp8BYJ3DiNyuJN6KgTZFyG5BSWk8J/4N7oVeQFeF0Q0X604bEJaZY7HFArL1gmhIWA0ISZfhKaUytAs80R5CYD0UvipWBA2h0H8GPyeeL2+DVUVy0mANpjxnk/RYDqXNHIrB0DYOWCd4K2xQZNo5HYghPpG0M7RsAqLtNWsArsMc72k7bDjjptc43rDhg04/vjj8f73vx9r1qzBK17xCrzlLW+Bcw5vectb8NrXvhYf/ehHJy7NsLHkuPXr17e+/+u//isuuuiilXUcK7QkdthhB/z0pz/Vjpx33nlqHm0pLSZNzDZxpslkt/90ER2jNQJIQqhOzuU6adZRtWVxiPE1WdufToufBBfVghDN2ia/qfXhF/UcuqZwis7Zxi9oP7hoXLJEjNO1W+MGYIuigdMY/UguvewOkdDSSLkveSys01GacMO6rCtyEprNy6goYH0zxWstd14+6bdEpUz7UeaYk7Ul92QLxsnY2vUaclRXrp4qwNATp7cBitJFvQc5bpwosHGi5ETADKnEwHN29MBnDtxGxYjAW4i95DNhq4H7AQxNfomde60idsgRYDlMtD0P87gWyZpg7VsS2uS55tIb/HwXkoXhHUe2SSmOYSxauQU2KENrKYFpSwELiXJS/16iolp9Tue3wAAg9S8rkA153BkHLae20LA5qCKqZTBOVoZtQmvJnCiRV0+099E9RkLBpX/iR5E+b3aju/BvE62qKhx//PE48cQT8fSnPx0AsPPOOyOEAO89XvrSl6pg33333XHdddfpsddffz122223FXf7qU99Kr785S+veP8VmQOnn346TjrpJFx55ZV4wAMegAc+8IFbpCNbEn6yg8srby8CWjQkWX8XyBVSA6COsXaWblQLwzapjlq6mktoK6+aE+hsqfJemrSyRkPPN0tKPQBQkBKNat7UA5KoGu2v1t7hex5DYtJZ64WJu5eEqT5IBUoJ1p6HCWT4XCKITbE68yJK9JPEoltfyZgEPNnHsmOxXlcFE2AoXa3htX1XoUIu4yxx+RG8Gp2e21Eal2aJ1cBjzmWp7XoFcMbR3jmmMs7i0nEymZQbn8DkYEgB87GXnkOdYvKRwMJhwQgCKaioa5Ijl6CwznrrhG2VeZfrp7kq54gIrRpEfB85MS37KjjIYBgLFfRyvoGrdOwB6GeZn5brHydLTCwMO4YcUME0jtzrJD+KjP0wFphJkV+tsuLJMpKcE8nslsKUUhY8l6txsLqtXI9LhLMF1EODHpjKWkjrfItskHtdnbbpyKWVNCLCS17yEuy///445ZRTdPtNN92kyvjnPvc5XZLhuOOOwwknnIBTTjkFN954I66++uolTI9tn/3sZ/VzjBEXX3zxXSrLsUmQaJoGH/rQh/ClL30J8/PziDGuuMTsb7LJ1IzwGMYSA1e1OWfymKd+0qayT0CAor38YhsQpGSx/CYC0v4OpCQxyTpN2hI7OyXqShavb7gWkwAEsTZni8dJ9q5o83fEaRXUkpRl/SwL1INkRgNQLTI6hzFIBWIDpkSGFDQjWBKu5twIw1iwpZIokawBZ8E0TmGKvJ2jewQMB56FkCx0LyAK5LIIYiUBTCdxCp/4APKCTAIQtnSKPEutCyTaOgFVms5VolEkLBgTNE3x6zQdIGXNNico2jnBFCD7pKZdwAIaTfSyeShCe4rQHMLp87VKAWAS45Dnl6zSF1yqpJr616JYCOZ5BC69YRzJMeX7iNBtyHMyYeqLAMI8+uqXyJnfHo1zGPgaw6bMgtnIfynH0TgGo642L1aYvl9oBzNYYBNrQsYfruZzpurJMY0dK0KlUkr8rBlIe2hQpfdLMsBBkjnOlvcgreeymivTrYbj+pvf/CbOOeccHHzwwTjkkEMAAO985zvxqU99Cpdeeimcc9h7771xxhlnAAAOPPBAPPOZz8QBBxyAoihw+umnbzS5+d///d/1c1EU2HvvvXH++eevuH+bBIkQAr73ve8BAGZmVids7J5p7UXug4utZRalCQ9rHXjjpKkvsR46PGmUqBB4tC2WTgJXygqVWG6+rkPpkjAQDdLlaw3A/HdjLIjGscCQJUwFOOQ+ZOEbOOCOZgbbhQ2QRCbvhHdnsFofe0ynoMYwlUwYG4CUzFl4IFBMS1Dm5DYReJXh0G0JDsmnkH4xMBQKGBFt57z4YyTiB8hRTQIYvWSJ9VIehFbfTc+itXZB0kgHfqyCVmgTfYqOy4GID6arWdqY/8YkHo6NoJtxI8w4WRsEiXJqa2UCFI0pwxIUDJb6xxrKa283nfPweLq0GFRexrWrC9syGjZqyi4vKwsgSS6B5JPwfoVZnTBbKTZ6yC5UJE2K/oHakUb2nRMlRmiekHwtDAgMTPLMOJotJ+MJPWjHToS93S5Z4ArElDLYTRNLY1XbKoDE0UcfPdHP8MQnPnHZY0499VSceuqpKzr/H//xH+PRj350a9s3v/lN7LTTTis6fkUj9ohHPALHHXccnvGMZ7SAQrizLa3ZkEib2TpOmcPSREjM+BEqox3n2PucwQuEVkKZLCPKjr6gICJOaykfYK8DAEPqqbAbU14gZ6ewXgWK0B9IlEmJRtciDulFlCS8O+Ic1vhFbBPmWxz8QuxB1mmWFsmhMi/gsPPCSKmFCKcvvCyTKSDlQQm0ekDikPlYziThPIBGa/JIBmwwU004aJuPITH7TYfTFic1P7tM33SfoS2rAeTyIj3HtGDP5fwWodJgrJGcv1G1OHEV7pRLsA8c21lSviuCrYjSZKV3Q0Mtx2/Pa30WUjJEaajWvMnrPUyidIad8WXKNNOkEgTRXmApl8rw6RiZ9zK2EkqaAYtUMA58jYVEwfF8zv2xQQUzvlb6FwCQKMkKgKeoQr+Bwzj2lK6Eqf/Ez4DnrsxtIIfHSskU9U3BtQS4RsAtQ4ndrUa4Tyw69KpXvQrf//73N7ltubYikFi3bh223377lrPDOXePgsR//dd/4eSTT0bTNPjjP/5jvPGNb9zkMcKj5jBIU6tftcW4xFHYqECrWwLKaipSZEy487wWQy76l7OPc02fJWUrDMUVIcXxPOaph+3dgjr4qqSZs6MvYhu/qNdryKvA2sYvIMJpKQjrJJekJ7Eu5qmHGYxVuA9jobH/Er8vpjrfO7/IQpUMqcQaP1RwGcYyFfHjtRpEc28k5t/4A6aTNSRUU0NOE/Q4UinX6tEyJa49hj3jtJamAgVSjsGWn650rC0A898x5mNP6cNgHOdKGaVmS4Bnp7OloiR6rWkBTM4lSZQXsV0nTcBKosk2FnknWd9ckt0enxrlzO6YhLrMrwoFxlSYeZjWmEigOU6+C5uIJtFMQisBSymkYcyLB8nvIpxzX3jfOZcT9kTz5zGtla7KWf4ODZV8XsoJjNDnnEuIZNqJrRlrbQ8RWkEWNix2tdpKo5vujfbtb38b3/rWt3Dbbbfhfe97n26/88470TQr98usCCQ+9rGP3fUebkZrmgavfOUrccEFF2D33XfHIx/5SBx33HE44IADlj1GYqttbRhJZLMr91qHdk7MMnH6yZchglGqlUrz6YVvyGtMt4CSRO7YZSTVAW00ZxGuHPkTsX34tWr8koRUuogZ1FqDCci5E9np6VPIaaVZuw28Ou0kiYkd80Agwp1xsMRymnHZoShmvwCuT5o5kHl8iTASUJW/24SFlmUxpJ7+rSiXF+d7yRVts+8mKm89nfooPgCvPpFcNTRn15ctn4mCissZ9EB7KdeGCgzSGt353nwLINi6YIE2pBJzfqQgskBiVTgMia2Y+VRuW+cSSfG6VJIjUaCW6pI+2WVMS9fAWh2WRrUhs9Z3Jb44EeSSIAfIinsuWYK5xEhIDl3h++2a2UKpNkkxkvEXGtCGICulaual3KdHbD0rrQIA0tLgpWtafVfHvnG4B7M2dqW+lp6Cz4wbKxVs+9YNXgGAwWpZEsAWXbtpPB5jw4YNqOu6FQa7Zs0anHfeeSs+z4pA4k//9E+XbFu7di0OP/xw/OEf/uGKL7bSdtFFF+HBD34wHvSgBwEAnv3sZ+P888/fKEgQOKpkiPyitksSOwMi1plqIn+QY+hzNEW7yBjvm7NGAbQEmdXuxP9h/RcLyf9RUYEF4gqoouE3zkFq5EiIakMESBQSGo1RR3qxPeWY9m5pcUttjBEw54e5Vk6iNMRhGSiXx4hG27Wr40mTXIj5VIZZwKAbApvDdsfmfPwSs4ZZKxUouSBS9ZaBrGkLMPJJIy9UIEk4sAhbEXDDWKqFJaUwbMVXSV5raaJAovfaTmKeIxVHLTkWbOsjYdoJeDIAL1DO8LVhxRqySnlhJ2s1CA/PUWuSo8IjJMqKzEemTfNrKz4CKWcu2cg9zY2xARg5r6Zdn8rMWRM9JNftPv8GqRSMfDb3I0LZ1hmz8w0CbGiXq5cQ3Fw7rQ0u89Tj+lwtB3YKfkhWhqX4eN5VWJ9ydcoUoWWz5lejbcmWhCwW98IXvhB77bXX3T7PivIkhsMhLr300v+/vS8Ps6yq7v3tfc6593Z1NxBksJFEZQgytc0ggTj7gUT0EQ0vghI1kSeJ0ZhnEmKMwWgiEqckGjVK4hyfJJpBnBKD0eBEQNSYwBchDAFBpQEbuqvq3nvO3uv9sfZae51zb1UX3QV0w118TVXde4Z99tl7jb+1Fg499FAceuih+M53voO77roL73vf+/B//+//3eGbL0UrzSi86KKLNIPxR3e1M3UBW0ojaRUTTKzNUG0WrkUKFS610SQ5plQrwhaps5RLU+Sy2guxj/nYV6a13i9Cko5ss58u2cCnPKP8PfAp81j6MZiAaxY4EVKLRzQ78XEPqcQwlpokJlVJZR5sdqvNk5ANLLEHGZdkx4obyZZnLtRaMtBOFxXiys+TGyvNuZHOsfTMlvHZAD77twu1AKX8xJhKbEmlTfLzVi2NVnJmhlTxebHE1thLjKlSJjNwjallxGU3IoAxEeqE0JEMYhVAKmiyVmtrJ9m1ApiGT2ntiXvEHmdre0lini2ZLtRlmFZYiAum53JhRql71M3hkKRNWeOSk8JWQGUCzLkkjRUMrQQ6cyzDrDtr2q6V5PoSBB+Q3b/dDnM2eU/qdQkNjItKaDWT6Vaacf1A0tzcHM477zycdtppeNrTnqb/VkorsiT++7//G//yL/+iWdYvfelL8fSnPx3//M//jKOPPnrHRr4MrTSj8Nxzz8W5554LADh8Yz8t7iwQBBJpF4g3gTdrZdiMUqCTAZr850A789VqYPKdBPAUoYTY2sSiNQ9cnRPnjHvDUnej2/EH8xwT3xvqFmAbotBnED/1kCrEmDVM0d4443jUQglZWKVo/R6x1a+DYzLtQoEsYFN+BTiQWjhJaszuQbEmKic9pHMP5GnvRuDJgSrUrmTYIxhhxlBd1qwHpj3nOPaxhx+mSqSFcVv5VKgQ2BIGLZcPM8bsq2c0UbsEuwjzIbIgAWCslxQEJs4/YYYqlX59W3AhN75CclUJ6ksYsTBmARRsjYMEnDCNgWh69rK4rjjLXPp7F7DoOw/pD5FzOIqk6Y9T4cQ8RlMJILnokLAXAFI9rRKglPSXhH6AhyfKaEOXXVd23UpQ2gowqdEFQBPsei5nmEsp/1z/axJUsFNE2KXdTUJnn302zjzzTHz605/Ge97zHnzoQx/Cvvvuu+LzV2RJ3HrrrdrfGgDm5+dx2223oSgK9Pv9ez/q7dCOZhQKYxZ4nPpMU/aluJustSGMI06ZCglSWxKGIy4mABoIl38RHguRNcZhrLA1DHBXsw53NesggVKGyTaqmbWfg7NoI+XMaKm9JDWXbObqWj9WRjANmSNzI3MylISzZBmIdi1arn2mAmSgkb41ry0mgSwA8/0TxNWU2BD33XzsJ6GRSqHAG0skN1PyhsGJm0UhmiggtZ0ApLG5CZdMz/j4JYNd5sfWwYpJ+C1IIbx0fK5X1NZ2Axy2xjLVWBLhWRjotW+5PG0mt1gKkqNi3VTyt1g5MgcCYbW90OVdcSY/++cV3Qd0tPM8n2qJGk1dxszzKkzcqTWh7xmSt5BKiyTBKVaNHa8oXgKIEOEjVozE9NRaxWRZ+y6stlUW3qzPac8jn0lCoMzXqhGt8N8DSHfeeSfOOeccVFWFJz/5yXj/+9+Pyy+/fMXnr8iS+O3f/m1s2rQJT3nKU0BEuOyyy/C7v/u7mJ+fx8knn7zDg1+KHve4x+G6667DjTfeiEc84hG4+OKL8f/+3/9b9hx5D1l7nXQBSXBb2pTa7lxd7UK0HGvas1ukVoSRuJ26DWbqZPLKYl2I/QTbC5jDKGnfpOeK68qSbWzf/axHJsjougKmnY0qrg+2rArDWKM26em5hpvquLGiTsQqkm5mlpGqi0LgoxIfMbGcnBOR0UyZibfRLAIVtq1FpXaRIl5M/IAFhm+5WOZjX4WBvq9kmQwoFWUEW1bDWKZ8ityuE0hZz+l3QWJVkKxfj32Ledi2nEMSF51X0ED3PeZ3J13Tcv6OCNzKRcz5OuH4C32nVnmpknKzQD0VgOI6hEt9rB33A4/OQ+HLCbYaKL+3nD+TS5grQs8wXNHyc7yhnUEuVoV8JiRIqYjpGrvEHzTvwggFG/wWUIl1fcm7kfkTZS0DUpBcr41mmFuY8WrTrhyTEJLCrBs2bMBnPvMZHHDAAfje97634vNXJCTOOeccnHbaabjiiitARHjjG9+omv1b3vKWHRj2dgZVlnjnO9+JU089FSEEvPjFL8aRRx653fOsP777+dgVWOtqk3BkFo6BJkqAzWZdy+YfU4GFFFPg604GAaXMQSSP2hWtRQ5wm829CrbKhsQlvr1aC9ndIP2LgVzB1T5bNyBvSTaddCirIQgX4zZA1OcURijaniCY5lNAmmv+sxWx3g9xZ1in9xJ0k8xlLnsyTnNTpk2cIa5CtmtYZUpCBDgMkJPDasoZwmLdWb8zCx1SAalQ5jQuFoC5E50VNlLyJILLcrAVmrdF+z7ilnIaAwKBs92FSTrJnsguJLVcXbuMhiCAJH/Fvlcga7zWBTjnxtqa1Qqke2jQsm75vOkcTIL4NlNaXDUiNCQxNJ+Tc42A7K7yYEttnvJaL4wrCZTjWhIEX0p4WEEKYoE+LX4grqOu21HGJdBceU4FnkDiZasYI1h9ubPq9Hu/93u4++678ba3vQ2/9mu/hnvuuQd/8id/suLzVyQkiAhf+MIXcMMNN+C1r30tbr75ZlxxxRXL1gvZWTrttNOWzTjskrz2aRpJAC+6wrd9s8KYxWSWxDkp2QEg+9GNP1001CGVqGOpCXQBDqNYddwxbTSLIG/ggQHaZrGQbjQjKCx5x9ZEgNPyE0sJigjX0kztWCy8VWo/AcmdgJxopvDFpN0LrFfyS9g/nNFJlgkDLDgll8LeXwABHtG4tNgnPk5WT3aLNK3Obpb/iUAqHKU6UXycJFD1UuyBtcrUFAftchKRigR17aW5kUJ8PpcjR7uw4kBhwzlGs4cbtbKf2++k7bYRq9bOlQgWmW9uY2uzrzPUej72W8Uf9T0apURiM5WPKkQkiQ5A650zE01COiUw2vXUbQEswWXviNF5cKoMyPnyvKyI8B7LyXyTiYFdZcjuY1BeO9L6V0gUAwt95etHfXcCDV8t94+jXd+SCCHguuuuw7Oe9Szsueee+OIXv3ivr7Ei59yv/uqv4utf/zo+9rGPAeD65C972cvu9c3uDxJ0g7TjHBu/aK5nn60ELt9QJnRMmUz07DYSTVlgmeJCiuRRRy5MtxB72BoGWAh9hSLWxD2iF2JPE8NEG5PFrJmhhjQwN0XbsWa5jVFMa6Yy7XxrslvmZH38AimVoLYKw4TWuivM6fWku54worrjuuE5rzBMPv6F2NdYhyQcxuRisRqwxAaE8c6lkhzr/RB7+UVl2vyO2vdd7xex1o+w3i8mi6ZO+QQpt0LfbXYlitvKCgjJQZF5GSf3JJCTygDWdqVkSNed0c4Cb7sC8zFR+xxwvCwzeZs0qZ3ZkpUnWfjihtIcgOSiscJI1uzA514KEi+w1XYnxtaJvwjaqJdABRZWLM8puRiS5T5IRRm5XlQwrt5CkWp5TzmFDvdcUItA3gnQhpMLsEE+l7FJrIwFjm81fxKX86rRLo5uKooCl1xyyU5dY0WWxL/927/hm9/8Jo455hgAwI/92I9hPB5v56z7nySZZhqJJtLycydNxkIUW8cDKiCGscIC9ZV51VRgFEvdJBJzsAuQmWABeGDOcYMd6wKQuIVUZwUhl8uWdUU01ZoAWFBIH2Qes7UM2pA/dasZWKNlWuJ2srh8q6FaN4FYU2JxdOeZs4JLLWOipSqMhSVWBCfM0SS6DGgFzDkRL92LxHrotRK7aiowhpSvcBj4emqMQOo6ATnvQKzHmgrtI2IZkoWA2jiPBJpBCQbqJq1DtRgIkByUaVo0a+Q1higQnDfuNlZUBDWU8wOyYGIh0rYYaxSp8nHOPJbqA4L8sccPU8VXyUr2Kd4h2r0KQsKEQLQVb22uh7qB0r0E5SR5C/b+8m5blgTlzG85n8/JZUEE6SQVaQWqXhhhLsSK1mpVgcUDHpReCf30T/80Xv7yl+PMM89slVU69thjV3T+ioREVVUIISgMdfPmzfB+FRECq0DyrkTjEE2Qy2YUKFSDyszfLiSBYkrRvCJpaMIkOGs4l38exQojquApYhRLRPJoUGh/a4+o7SgRgeBz4HdMBeaQk+0saVyFoN9NJLMZk9wbYQIX4ZOPO8BpvwPLBLoUlBF0SmAYlJLd0OKiGlIPAzeGB6nQtL2GuaR5ZnLMgEzcgRwK+BRQjVigjJKzWrkwb+vmEdeHvkPkfJWtIbV8dW3LSZ/XBF+r5IaSwK091pZqF5SSxDkCpaZTAGIqFS0Z6vy82aVlqTK+fslhkZiE9IvWtp8EjVPYbn/WlSR5Ddw5sVHNO6BQd4/EAYrk3w/OadnszPRLtRR4nKKFQ7X1Vn8NEUwpCB9czl/puovs+5RxS0l2cX1ZYYyOUJbqsVI00gaxhzEjqaTECCsvRtmj6QCP1aJd3d0EAF/72tcAAK997Wv1M+fcintKrDjj+jnPeQ5uv/12vOY1r8EnPvEJvOENb9iB4d6X5HShtTXSdpMS0d7FmuBGPCnJDB6BpLppDgIupH4I4qMexQoLoYeF0C4HIdpSaXyuQtFo5gLzbJvzvqPfiMbGsYnCZd/gUrGybFHkhjQKHzS+WqsJCjIJgJaQlsQqHRtll5RYIDaLOo8417Sy/mxp3qQtMVU4Bi28p1pwyj3I8+L0uW0gF2LFOHHjRAUNePNMwkhrgWAm5mgFzzD1HNBubE7KgGTIc9sd5rViKfeULvI8yzwZF8Mw9TiwwISBsYokoI0U3xDXljJVz3MtzHWe+qqRD7TmmNcYDCeqRaz1udTHkCqF8SoqLaGUvBFa/L44fqAlXWDXqfTd8C0fv+0+CORsbVtuRD4vwIJJ1kkv5abI2qxR6LvUPAgXIOVXlqq9JOtr4Jo0pznxsofQAhWsGu0GQmJH4hCWViQkzj77bBx33HH4whe+ACLCP/zDP+Dwww/fqRuvPk2iQgoXW7Vtpvr/KQepudZTRuuIqySkYLNozAuhh22hj3Fk09+77OcUX7t3GTpYx0JdKxVlDH2r+FjXb+kkdS1rZ9qS1dC04LYWqnPSxSyjgWRTZsRWjj3w+I3LysVWslI2+3NA3iLAgrhc7Bybqq6a55AYbFVIhzI+V4r/WcEFZNefRZGJ28cTIVfqte+2Pb/6vQsYa6FCzsoWK0QCnQrDTS4he18uF9Eu5WELQXZhsPJex65AQXmdSNVY6yoUSO587KurCAC2xgHmPHdGLChXOZU+3znfg5nhMK33gUvuGOSMaUkelAC3ja+IEBqkmlcRnB8iNdCAHBcrECAtXLnfdgOB3cpxlbc5Mx1lKllkgwShFghzl6xw1viMsWS688xKhUkgpKy07OFGq9eVDgBoaquSXY5++MMf4nd/93dx22234XOf+xyuueYafP3rX8c555yzovOX9Rnddddd+m+//fbD8573PDz/+c/H/vvvj7vuumtVHmC1yKGN27ckm8qWysioCUkWksSnvJlYMPT0PIAtghFVKUvbYWQqYfYLDuRVPgcTKxfQ940GaMV1MUwoKCm0Z/+JC0KK7Y2R25B2g9oSl5gmAAV5ozEJAALlte4b0bZFY5akp/kUaFa4bNJWRbu286dzDVsB16kVtjUOdB5zIxincQvbh5zH7/WeOidqA7QFvsQUeD6ytWaTqmyA01a+teOWuZDga1drla6AlplxYUcWMtJ6UwoFSj6E5FXYGMCQCizEtgWSY2NOYyw6fnLYGntqKYgVIM+yXqyGFAgW60KQY4JEshnLtsijCH1hvD2xLu06cRmmnSHYYhmFFvOWZx64BmudlM+P+l3lchJdAdLS9za5NCYrRoL4QGq1mgpX2qB/3m9RwShaXj2NSzrorW5ZjhX+ewDpF3/xF3HqqafitttuAwD85E/+JP70T/90xecva0kcd9xxcM6BiHDzzTfjx37sx0BE2LJlC37iJ34CN954404NfjVJkr+k5nxA1iJU60xva556mkgmUE4pveFTUFVQUhLMlA2c3QkptuF5k5ZeCpMxExUtqgCh76XSZ9KcU2BamrXYPglWa9X7ET9fjRRANn5W69e2IdNcUycjSObR17FLGY2ea7iZTupXUblGC/f1XC7AJ35tgaFujYNshZjYQ7YMciKYCAqA80QsSdtTdklRO2AMsaakphCUqYhbUeC1thBjzsCeS3MhTKLMAfw0JovftxYU0C5jPaSqVQJbMvgXIrfarBBaKpe4D+26844QI5eLkQByoFyuRaC08l7mjEuvlVCWXDMSrA1w2JL6OkhDJGlHqwKccu9qLjEimdAFpPHTIMWMrIIhwA5GiFlUVxYS3AaX3100hTNFwBQgrHWNNm/S9r0JmgokK8FB64tFlGoNStMtgTGPk6LRQ8CcD6jJAUk4FOAin9ZDIJ4ELW2+iur/7hCTuOOOO/Dc5z4XF154IQDOQ1uuk12XlrUkbrzxRtxwww049dRT8alPfQp33HEH7rzzTnz605/e5RoOiW4gmpGWHXYRc77tP7d4dWEgtlSHMBtNYppA+kSUPiSmlvIRSISU1U4p+cepZVkAUOGkRetE6xeh1YlziAZokwG5jDXj+6UpPRfqM6b3RC2noNq2uChsjkS3ZEHXlzxO7hBJ6JK6VCI0ubBbOw7ShjxuH/DQjdUsdYxow1L+ZET8jyHJa7A1rEnJjz1I9rwdE1uJpWq0A9cwrDS9M2EqUlBOyk6IZSMkLTEFviqf8RxHhbZ251SeTwSELXxnY0IimOy5lWuwl19URi40RqGCvFXg0QABsju1SPNQpjIkKTPfjE8UGx2LuVcFwnoviCb+O1dgdq32uH1Hap1Yq0qsLZkLzb0QJQcZDbbeDdUSBFjoDo0gGpjP5Zg9klLSVb4eSrR27VrceeedCjy6/PLLseeee674/BXFJK688kq85z3v0b+f8Yxn4Pzzz7+XQ72vKScgATkrswBp96zsl81+dnGXiN+8tSFS0NhSNIvSgy2I0rfdD4URDBJElX4TojED7UCvTy4Bu5glrqB1fAzzz3GKnO+hDEqsjqSlC9pD8hlyjoEteR61+5uY+aoBg1qMrUjuokgecCH9zd9JcF8C1bnCaS79oOVI4AGKCXLqUSCov9yS5G7YkhYCRR63NHGv7h4gMTjiNrAia3oOyuxlnQit90NFsOXGSzahi5sNDVzu+CaWFtBuwjOmIgdj/Rg9sjWiOD1O5kLOGcIlKOuUHBdRGoywyf51npcxGNVkEyiRki15nee+73y/HJcaU8n5Ht5218sBep7zAmsT8omZuUPlGFhQa9A7W2Q+BaQDuK963xE3BYMUMIzqOhL33NgVGoSPRtmQul5A6nbnxvq9QrMVGBC16dUYOQenC/ldFdoNLIk//uM/xumnn47rr78ej3/847F58+bV7yexzz774A1veAN+4Rd+Ac45/NVf/RUe9rCH7fCg7wtyaNedsXhuZlwZWSM1iqy7ySO2yloLGsnCRrUMR8L4l15gstNXiiQbWYhmu32qA1Cqm4qZfpEsEw+4Bj4x8GmCIo+rrbnLLHAr0lwuYZCEhNw7uAzxFNcRN5TPc2jvOYwZpsplMHLswf5kdBA/k50/2w+7SneJSTjI+VIZVp/NWhJp09coMB/7Gh+SZxrFakIoSZ+K3ACINeN5RcJkBqIZ4qkFq/wu66SFAqOQGhENNcNalI1xcu2oKyuWmu1/Txxo9VLvcu0kmygJmOQ5dZ9mZUbqEWlgPbkdKxF4aWnU5LHeN1jQOcmxkRopa7njt88xlXZymw0MswKU3RCVY2EfjKAYkk/5LBELsUjuVYeBixiC40wFZTccC6+oSo30h9f8FWQXk60g0CoF0hFu2haVfKuUfhf8scO0mwSujz32WPzrv/4rvvvd74KIcNhhh2k9p5XQioTExz72Mbz+9a/Hc57zHDjn8KQnPUmzr3c1kvjDwDWakNRzQWvsiM91qRoyIcU15Hcg160RZlm5gMYXQJREqbyYM/QvGOshwFYrnZrgBad6oS5+ha069l93XC+KnKHp/sWuK2Lgagwda42SdGZJgtoA1I3WnltmuCCxSta05snmpvSTH79IwrfutDoFbPYs50zAAYGgDXO6LoIIcc+V6uYCkBIbs4Dgcx0ipA8ItBSKNxaSZIvLmthqhODWOND3fU9cg2Gs8IjqRyhAmPNjRQ1JcxyhritHBYsioHJzHXFRgtDiNpwxzUilyjcJsVSmOkQsfAfJtTPnIgoHDBOwQc6fF5dTcsOIIKsTg7YdBHNmfa5QwLGAcUI6WeSQKATsYgLlch0D59SitGtnzrcrHUtMp+2azcJa4hlr/Ri2XpQILXuuJCrav3vEuRtafsfM7arnS+wGlsRwOMS73/1ufOUrX4FzDk984hPxK7/yKxgMBis6f0VCYu+998bb3/72nRrofU2EpME6wgBNrtGS1iFvtFxoTKiVP7AESVXXNhOKqITpOAIMvBHIKBvpVicB2uXI+v95Y0pOQ1tA2ICgxjFMDGOa/1XcX1IgTuIQrDFHnSep8mqzqYWZS3CXGUovlV/O2pvMFQDtwDdtLudMEhsSWECLwVlrDvY9pQE6rvi6EHtaRkUCr/b9VADgYuuzgiKPK11WhbbLwXI7rwNXYwvNYSH2sVexACk70UMAUpxrSCUWYk+RVPfEgbrrFMlGlSoRoqULBDUnBLJlZjP9xa0i1ENAz3Owlp+RXT4hCfSB50zzrZHfxx5ujAhgnHz9MR1XI/eLsFBmKVtjazwJKEKgsFINYCsVGCCiSvGIAg5951FRwCjFNWSc1hodOBYqBRHGTkrkGKQa8vvizOyovauHVGkwX+It0jJWBIsIi4ELmCffEiLyrN0GTTtKDrtH4PqFL3wh1q9fj1/7tV8DwEr/C17wAnz84x9f0fnLConXve51eN3rXrfsBVZyzP1BDrkLlQSweiaQyJqFFOnLfkxpWiNkoZiiZVmXSQ4cBtRkymiY7/vFiBFE5BAVubS0gMhBRaf+fysopEAhAC1ICAChc81ppQhs1U4kDbZnmTSQmEWtfv3K1anMBKOabCkFcTlppisqSM8IRiZV7byLJKxlg4pA6OZBFAjq+pN8CXE/8bPy9URASPVW0di5lpaMPwc+FxI6KSbXmuS15PnJZS6EBq5uvVfuUTDWzwFoDKBOLi2NjSQt3AoGiQvIO5LS7OtTUNUip5bSTAXeOeciek4SDPmafVcgOlLrqXKRYzHg48Tlo1n6yOutJ/GTNBcDVytkdoxC3XQy10E0dY2RhDR2aN9vAUzU4tpxEsxHRpgYsgqQjdEIOENABTLv7EpK0Fk04C6BWZAVYKtJ+4nDJ8hzzg9ZNdoNhMR3v/td/Pu//7v+/dSnPhWPfexjV3z+skLiL//yL7HHHnss+T0R4eKLL94lhIRQZk5Je5bFFn3qRFaqVtJi/snNJAtJGQmlwF8H9aOwRyCX30hUxxKFr1tuGNb2JKAnUMus9ct9u4ICkAzljv8/xS+6cRgb1xDGI1aQ1uSRAF5nAwbkoKMIhijabtLUBR2jVk/Sfge+5hiBauNZGOTyHAU8XEt79SkDuGX9uByfkM9r6id/dZlgr8zYxM3kQWrRVS5gfTHMY045BzWVWIjQXBDJbxCqELBXMVQmM3YcMN+72MbfJwy/uGACueQ/Z01WABKaO5IYyDBWrWex1VvvDGt1LXBWcCcORCXWulrv2XMOc85ms8vcRv3pAaz3DbbGEjVJnIC7yYk7aUwl1voRl7+nPieb+cVWcDjHB6L2j9c6Y8gupRFxhHpk1iaPxSehkud4SLmUuMRGhCRwDUjCZez83rStdQj8NmI+5S5FFEBHUepWSV7VmMRuICSOOeYYXH755TjxxBMBcC2+xz/+8Ss+f1kh8ZKXvARbt25d9gIveclLVnyz+5KyDz1qBnJXY7Cd0yTpyzL/roZrP2ezO5enqFzQxB4hQZFY60Ew+FVn4Qp1MdvdchiFC9lvreOxaJtJv6vkFACmS1q6lhU+C7GPorBoLnb/8Diixm1sVrXUa2JG7hXZlNFC1HbxGEik1eAFA28tuva8GARYSlyE860MboEOy5xVLmBEJSrPKLIqfbYQexjFSnMHBpQrlVYIqjTsVQyx3gXUcJhPKCeBx+Y5YJRODaAmUgYKALVrUGjOhjTBEcAEu2Ts829NrimBwUqLTrG+pFBecA5zjnKgFw6VK8zvJTxqREQMice/ENnCGvixQqVFK78rrMNc6q+xQNx3XctnTFEyIjkMUeoatiiheSq4ZDo4QVCz/dNz9Shg7Dy2xh4eXiximNZM610jW56y/2KyCsQyjMSQWqltxYKGXW5w0DjEkEqMYw97+JHGcSRgn+d5elmPHaLdQEj827/9Gz784Q/jJ37iJwAAN998Mw4//HAcffTRcM7hO9/5zrLnLyskfv/3f3/1Rnofk0M7UNvt6DZIiTs+aYnSqF001jq2hUWrNDHyomSNlQOKXNxNkB18/ogqpAMBTBECnb9zHR1myhMxEw0aFi0GL6TB947Q0O8pxxiQgsKMa2cESqBcStlmq9uWnzJOa7VI8tMANeChjGYBrE2L5l74hNxK7qqRacok6Co5PvuMSwCNupy03Soi6ikB9ypltAuCLJLHQuxjLmnrA9egRpksPOJaTUXQOl4y/z1ERABbY4ktYU0rs3qP1BpU1gEgJTpsd0GC1HwqXEQdc3yGkzLLXJk2gp/fcc2p9X6oSCcWnjbfxUNa2Y4JKLxT4RDNf4EINXIvC84jyCW5AXZt7e23tdyoa/0Ic26U8hOmKUmmqKCBuAqDFPRUSEF5a0Xy+/RYmxBZgnyyCpzEHbR/uwBPDIJLrIo5H7TCgCTyiWDtxjYsDFlchQNbTXgVaHdAN/3jP/7jTp2/osD17kK2SJktXyEamPiRAWE40kRIyk33TJkCU6ohQV6RfJ9itbBGzRLBQzK4pZFRoRplZUpWZxjtdISTaPKW+du/Yyu3IZO1U9pVNflsuYaWchBLCl6D1ANzFe8Inoy0S2SF2Ho3ZGgicSc6KQwY0viGVCLE7KqT4Hlr3GasIiTH1O6VbTe/QJXrJGwGvkY/ubq8i6go5y0EeKz1I4ToUfkGdSwVhDCguvU8VfJfz8cSd4a17KJL7jxhMMKM5qlAL/m2LfRSrifd7QoBNBhBGKPDej+ErVElGcUi4KR0xTgKessjOKdBYm/eSbAxAzCSS9a+ul+Q27audWNIV7pAHnv5BQgqz7phrPYt+R9DqlChgfa+Tu9T4hdAiim47F4UVJ7AnIuk+RdEmoEtAtYmIPK7Js38roD0k3K2N5wm08m117oa86i0fIr0Ks/P46aoGTtBu4El8chHPhI/+tGPcMstt6Bp8r5a1VLhuwvJIs+JQkmrcvY79vtLzoBW43QeIWbXR6TcjGXgatSu4N7BxP73HASkVKKbtfXK1RocjcqkmbrxDlvxNDP9nKhlqVvkblrROyEp8y0B5FxSxMvTcfDa2XaUYz1HNqwwLb4mC5YIr35zQFpCJthnlN7VOV4wQgUpU2KtBcAwFOtKIynLzUXmeEz5gIXY5x4czid3UvJTp/yHBeqr0NCKp0kbXRAhT1GbJIUEtfSOsCV1tbM5Dmv9OAdCXbsfszC8tS5gS6wwr02LyFTTbaPncoJi1PLb0lgpN0ESNFKO/wyTWycQEBHRd9J2VeJLhArJPRmdCkO5l4AwMhS20CY9wkDtOrTWwMA32CoNoxLqK5DHEAV3pNMSHU4FCSf1FSmIPpnfI0LM5nnY1q4FshUkVgW7vTzWO66+C1DKSSk1SF25iApR0Uw8npDWcxtptdNE2C2ExPnnn48PfvCDOPjggzXretVLhe8OZN9VNz9AYgWAbGxeUGv9SDV+7U3dYqimX3IicQ/I7yIMBE4qrg+5f02p+idynoStESXxBmUQ8gw06TpKI+j4cNsL3jJUC1nlsXA/BC114Ig1T3IYooc5N24lTvE1cvvSgeMKowL3tLEKS+JHlvySUSxbFUFtHoqHgfdS1uxlc3djRNIqViC51rKJcOj7GqNYoW+sN7EEt4U+1hW5dlRI60KStGxmeh5fqnhrXCpASsKjzHTE373eDzFP/daccFC6RnA5ppX7WMj1ch8SASqIi0oC8AFN0q4j+k6wU/xTsrSr5P4SK0RiDCBgrR+ncZYa/xDUFL8Xrn3EpV28xloKBOzlF7ElruFSKMgFMufRw3o3gi0Xg1RehJ8zWxU15XyJKsWybGJcgMOcy+4ktSgcaamRARp+qyYfI5LDPCp1W7EiWGA+FURc61nISFb/atLuELj+m7/5G1x//fXo9Xo7dP6KhMS1116Ll770pfjhD3+I//zP/8R3vvMdXHLJJfi93/u9HbrpfUkBjsspJ01EBIZoUIOUiMTaeki++TJrUrLYKSeGSTnp6No+eiGfhEWRLAhBV1QpkS67fdqUk4SqrO0bBl0ndJFonzaILExSynxkZtpgiNyG0zLdSJ77Ahc5O53bRFYYkudgZsx1ryRRrHIN5hJDm/Nj9BBwT+znbN0kiLyLLca+T7lVNdqF0McgIY6UyKc+BDlYqaU1Ysbryxhq5Ezo9X6oAtx7FtTjhHIqfO4wl+eyUMHFLTWb9A5KDGOJ6JwyZAnYR3gsUA8x8v2HVGK9G6e15dXtwUFijzk3VoVCgvJczC8nKfaduLmotS7mqdfS3isEfUdy3EIssN43qBFRU0BEjaDNpjxG1KBwDmtdQPQjzFMFT7nW0Xxs9++ufJOqt1IeExwGFHAP9XIHOWNRS8mVCsAPwp5Y74fYEtboe5LEz3viQM/pucBWVgT2LkaoySEY5mpzG2qDkJJ9uRArFRpscTB4YD4F49l9VmE+snW0NuWwSMtUQZMBD81kuqOOOgpbtmzBfvvtt0Pnr0hIvOQlL8Fb3vIW/PIv/zIAYOPGjXj+85+/ywkJMUml3pGWPUCAJBPV5FH5gLUp4DqMJdanoKRk8tpm7UCG0AkTjEhVScUiMHGQaolVY+sUCarKapuC2olGCHVLgnSzvgsQ1heL6k8HkPz1CbuPShdxNNfzMWppZiDBHR27y7jsQUaASQa7dCBTDRGmLzUx9j+KlurrHJCnCE/tOckVdJNFglweRCwLzrxuNCbTrbVUJOY60GvExMi50ipXPA0tq2iuGKv151PwHuBMfGCsTJHvQyn/odTf74mD1NBGNG+oImLRTLkUTNuaiMhtW7vNldjNlV0khSOs94tpvZWtUiEcoOZ16OGwQA0qML5pSFEZrS221y11okmByJVc+Z1z3GMtamyVwoiUYxDSOa6XBO6WOJda8OZGVAxtdZhzYyxQD4UbogILjr38qKUo2HIfA+Q4BSt0jRYf9IgmmM3Xr80cS+XYBephD4y07Equ7VWiMvWeVot2B0vi1a9+NY455hgcddRR6PdzkutKe1+vSEgsLCzghBNOaJ9Y7pyn6rzzzsOnPvUp9Ho9HHzwwfjABz6AvfbaCzfddBMOP/xwHHbYYQCAE088sVVccDmyTe4rH5JFYbJoEwpFkCJ7YIyYkuyEEVRO+jJLtcxc+oELh7EfOHiHOrUtlQQ2W0fGNiJqBZGToBAS4WCrpGZ3jMvZxDEfUyBqzwrvomrcfdNxbxz70Aq2iVkMY6XxDqknVadAtra6TBaDJB9JxmpOiosGMZMT1CwibOBq03yeBd6cH6NAbJW7ELdb9x3q8xPnUYgFpRnRaWxIKCieB7nCGME5eM/ggRpVflYD47QkgkCa+Ai8WbPHqY9eShQbJ9eNWKbiCuLgf5tj2KZVPBchQ7A73EX6atTEQmw+sECfc6NWwl9NDrVLCg+4KdUw1U2K4DyEMXIfERFeQBawohRZ6ha/G7iI4GtsjT39Tpi1jLdwEQPUKSN9Xq/Nx5E2dbId/7bEfivYXSC24g6yBgI85kPPvPOortCx84jRYWuyVqqkoEhccEhl6/3Z8ufdAP1OkQF67cr0ohe9CK961atw9NFH71Db6RUX+Lv++us16PGJT3wCGzZsuNc3s3TKKafgwgsvRFmWeNWrXoULL7wQb3rTmwAABx98ML797W/fq+sRxK8pmjo0yCgNZnqIGIvLKGm3A9fgHlNCYuBrIDKUVYSFF4isS0FsERzI9YNapcYFpeSsu4BxJhwUz+4qYfy2RaotE6H5EJQyuFOw1xMz71GqSVQhlSGnqEKHx8IbKicLch4Hl1BnE3x9sYg7m3XqJwfatXQkqW6MQovISaOfgNjayLatqcRrvI/YGtdorGKU6jgBWVC04iYQd0M1kf9RgwUDACAFrwGkLGZ2p+xVLCDCY3OzXrvBDVCjKNrgBZl/1vKd+q8rFxFjW5CLT5zh06Xi8IHcYpO13ahFAe35PD8EKToo4AE+P8OGF6inbrEtYQ7BOx1fTQXmAXhqkoXBK78mJOirYzeRlDiX2BNyIt/AN7on5DtxN3mkfiVp3GtdQHQ15on9/XyfLAzXujGuq/fHAdWPcE9c01I8NOid3GsLySphMMAo119KCtMY3IRKhAeXPoH2sZayGxLg3hLXcJFH46aVPthbYq4pJkU6B6iTkhBXLSrhMNWLvMvRPvvsg1e84hU7fP6KhMS73vUunHvuufiv//ovPOIRj8CjH/1o/NVf/dUO3xQAnv70p+vvJ5544r0qXTuNCNmKiHAYIhc2syTQRWvy9pLmWLmAOnIp7VGrt65A9VhQWD+tQDe1XEfahBFgCKnLSXVC1hXBAqKHhdCfMIW7Y5dzmmRNRNc220NCrUxr5TlKft06log+o0hEUHAQPxXOQ35GTjQD7oxzWJ9cBTUV2MMPlfFsiam5j4sY+DqZ9iPewC7AU9RqrQWioo/4GdsJjZY4zlAqMieQN0I5t5gFoN3kQrJt7LMH4ueZc6OW9aNzShFjlKlcCQshixrjuFVPYyABThULcTHJGhKhznGsBkGrrLJVmzvnNar5AtBOhdKvQ8qWA8B6v4ghehiSPHPAUOM4UBioZB3LOPIcAIVzivLxXlqQklpgHq30Hkh71fW+wTjFXDw4a9s2f1rvh7hl/DA8vLobYyqwNa5RRBYcMBZlx1i1W+MA8EOs92OtBdXaj8glT2RdbY19baELgAUo2utG4hyVG7Wq2/ZS+fR56sHHyc6VO0W7gbvpuOOOw6tf/WqcfvrpLXfTqkJgDzroIFx66aWYn59HjBHr16/fsdEuQe9///tx5pln6t833ngjjjnmGOyxxx54wxvegCc+8YlTz7voootw0UUXAQB+dGfEfOxNmP1dRss17tn3mTNDpY4/M7kxFei7WgUFAMMgcpJQ5RsgoqXxj2KlqBtEIDqJW8S2dp82wJBKLIQ+RrGE1vqRcVP+nZEnjNqQMt+euFcGB8uzRgvkYLK4b2ri3tzeEepQpABurcisga8x3/RxTxyk/s/l1MzUhVhpFVHOtC00Y1kTrhLmhrOeAyrHHeREy9zbz2Nzs76T7d4WkAxBBhDBnf3Ma8zFASOG1MfAewxQs5VHRWq7KtYXzz8Hstvw4Nb9IMX4co9zZkr8NyPaStyZnkM05FYZizQfItT0XYimntaBWAqWkYv1N4oVtoYB6iL1uI6y/oJaIMNUYkUYvLj/JCfAjqsbj7AWhCSiAVzGu9VlzkGD82sdxyeGYAhxjlMQo81iwOZmPfYv707WcKXvCWCGLog0Xh9Sf4ytTnFNDlKvigCHHgWdzy1xjVpb8i5EaMvcyZ4cA/DIZVtqKrBXsQApYLiAHgZYvYzr1YhJ3HLLLXjhC1+IH/zgB/De49xzz8Wv//qv6/dvfetbcd5552Hz5s3YZ599AAAXXngh3ve+96EoCrzjHe/AqaeeuuT1v/WtbwHgZkM67tWCwP7xH//xsif/xm/8xrLfn3zyyfjBD34w8fkFF1yAn/3Zn9Xfy7LE2WefDQDYsGEDbr75ZjzsYQ/DVVddhWc/+9m4+uqrp9aQOvfcc3HuuecCAA7bOFD3BKNcknmN7APmDdP2v9r6SsxYIzemcSUXaotVikWkuvYJay+bvfCCU/eq6TZJyPR9g+CTBoeMjLJlK6T2kJafMC4CwbXzWD0aYgEhbqcIh0gFfhTXYq4YY86PWzEKHk8uzc0lvBu1Xvq+RkERcxglIcl+5LUYqRtn4CK2wGG9H2EYS9VSJcgtQUTpdSC+ZxBU8ysQsVexYDYu1w3aGtboZ7niqIFSAgAVapHZGjzzsc+5CMS9Ivjv1AAp5pgJv/MCUidI3ts0qqlMZSayIPEUVcBJ6XNZZww0GKtVAmRUk6wJoF12wjJLoUCOLbCQy4kLEq0WhBF5DF2FwkfuZQHuH1GkeNB86sWupVQMIk6SPwVyW8OnUhYRcJLIxtVikfIwvBMBw27agWtwZ1xr3IEp7wIRexXzmJ+CdhNwRuUaLRjJOUbJ5ZfeZ0FSMsNrG1IRHOMk9IcJ/eV91FgPEnJMLDS5r1gzWomXvNan8kvEpXaYVkFIlGWJt73tbTj22GOxdetWHHfccTjllFNwxBFH4JZbbsE///M/a0kNALjmmmtw8cUX4+qrr8Ztt92Gk08+Gddee+2SLUm/+MUv7tz4lvtS6jZ997vfxZVXXonTTz8dAPCpT30KT3rSk7Z78UsvvXTZ7z/0oQ/h05/+NL7whS9ovKPf76tJdNxxx+Hggw/Gtddei+OPP37Za5FhmkDuH62JQuRhMdliykbK0Ecg90yoXNGCowrFZDJLgT9GTCXMOxxGsUQdPYLrYUQV1tBY8ycATjiLcFqyQWISTTRlyFMOhWx6ABjFEqNYoolFdtEUY/R9g8XYQwgpNwFA4aPGMGTMfV/Du4FCQYexwihWWhG25xoM3BjzsY9510fluexGnTTyQQoOCgmiSmIhw9jTeEQWvE41bslArlyDgiihdbI7xgpQQYzZAHfUDd+2koSBLsQ+FsBWzNYwwELsK4igHS/i7GpNStTYj1OX0DAFinNpEp+YHOeZRPJatE8QWQBUeOpaSTEYCerbnA+xPEUrHsZKxzznx+j7GguxhxrAXHpnjIAijEniPk2qISUtb3MZchsTkXgLP39OmqsRpzM5ESDI7luAM+zvonUI5DBGhYKyVSRKAENk2QouJJcjuZ5qKhGiVzjqGIUqcepiStVq16ZYiCC9QuRkuK0p9jFKlXO1LXAq41KBIbf3hIGuN+mTIRUG5uP0Mvb3mqTgwk7Shg0bNMa7fv16HH744bj11ltxxBFH4JWvfCXe/OY3q1INAJ/85Cdx1llnod/v49GPfjQOOeQQXHHFFTjppJOmXv+HP/whfvd3fxe33XYbPve5z+Gaa67B17/+dZxzzjkrGt+Kajc9/elPxze/+U11M73uda/Dz//8z6/oBkvRP/7jP+JNb3oT/vVf/xVzc3P6+ebNm7H33nujKArccMMNuO6663DQQQdt93oBubsagNxLIuH+Q9JYhAROKlmkXcjiwNUoPC+qbE0Ao3QcwyvbPlEPQl86YMGjjh4eJeChWqK4lcQiAATemoVY2bFhoz0WDotNH/2i4bapEShTATRORmrUotGGSCngx0HjUqNtQypRxQpD30NB/P1C7ONh5bacI+I443Y+9pSpCyy2QsAC9TBIAkbeg2jQ87GPhxXzqcLoUDOSAUEucdE66xpQ14gNWIMTtLJFlBLMULSq8Qp6ayGVE69jodac9K/uO8YEWReQxocEOpyC8oVbTO/Ja/XZ4FiYjBV7X2rOihUQALJvfgrJsZKEZ7PUxT1WSzkMn92Iw1ih9oUK+252vggyS/L9kJJSgGCKBVq3mMwvoXaB8xaQ3UE9FzBwY87DoaylD9KcDnydYiu55hTA1kAPOY40jJV26pOCfdJbm4PRjq0mRUgVKfaTXEsuaqxKimdKbMk7fqY9iiELCnhEx4Kq51P/Ezf9newQrdCS2Lx5c0vRtV4QSzfddBO+9a1v4ad+6qdwySWX4BGPeMREWe9bb71VK7oCwIEHHohbb711yXv/4i/+In7pl34JF1xwAQDgJ3/yJ3HmmWeujpAQuvnmm1vZer1eDzfddNOKbrAUvfzlL8doNMIpp5wCIENdL7vsMrz2ta9FWZYoigLvec97sPfee6/omtaNY0tRRHitOcOfidZa6iZp19zhYJe4FIbIyW7SDpNN5ag+b29gmrkJESdkCWw1wGNb6Ks10O1Fob2fVSh4VD4qox/HEnUsMAyCpuljj2rIuq7L5SIy2iYhnlIsYM5kG9tCeD4QtoaBbrY6BU97LqCinGug8Nrk/97LLyQ3DGvewoRE+wO4CY+UpGYtvaelvmUOvXEzyXuskOtbxeSGyA2K8vFiBQnqqqZCg8CVD+q6qXyDvquTtRBaKCzxb0vnvADOA6iNBg+YelpIYAcqkyMxKyfWxcHnLFFZ2IAhRKjXVODuZg3WFSN1YwLAQuxhfTlUZqlVAqhuxd9YkWmyfz4JuzFxuXSOt+W4GltLWVBYV5IAFLxLcS8TZ1G0VnrWhdhP7zG78mTN15R7qt8d5rBvuRVbwhwGvsbWVGKlQN0SRBlWLPtCAAtpf5PXfu0gsLsqWYIBDffEcA32KIYan5rzOZgdVsFFJLTSmMS+++6Lb3zjG8ses23bNpxxxhn40z/9U5RliQsuuACf//znJ44jmrypc5Nej6ZpUJYl7rjjDjz3uc/FhRdeCADKW1dKKxISL3jBC3DCCSdo+9K///u/xwtf+MIV32Qa/fd///fUz8844wycccYZ9/p6DIH12f+fag8BsWVq2x4N0jtXmLsmKyH7kucSg9uaYHU+lbIApDS11zpBo5QRHByb154Mw3cZwrq16cM7wpqiVneSzReQ3g+BkzLgncNirDDf9DBO2uVC6CHCofQBcwVbE7y5Sr2e9eFLpnH0XpmooLIsjHcuJdmJu+7OsBb7FduSNs/VaEULlnawEqgfJFN/6HopsF23BDdnN1cpwCo5GLl8h6eowVue/5x3IvMiAkXHnPIXWPPP7hPNzE5Z3l5LoPA8z1M/1S3KgqhyjWqbgRzmqa/X6cYyxNdug6byuayx3GUuj1HKsNh5seXCR7HU0iFSlBBgQVE59umLu2QefdXirQBTeDJl6PO0gpI8XoexxliMyzN1cawopP1TtJ7TrjOZv620BgM31nI30gddYghbwxp1dc7HvloTQCpL4sACI507pFyQEUiViF0u4CjjYdcfJ23WrlAPAEOSTWe/lA/ECsYq5kqsAtV1jTPOOANnn302fu7nfg7/8R//gRtvvFGtiO9973s49thjccUVV+DAAw/ELbfcoud+73vfwwEHHDBxzRNOOAHf/OY3sXbtWtx5550qSC6//HLsueeeKx7bioTEa17zGjzjGc/Al7/8ZQDABz7wARxzzDErvsn9QbJF8uL0GnAU5tFzyBnIKghS4DWdz7kGWeBwmv8oa3AG0seMI9fhX1cMNTg3jBXmUo9e0ZrZRx1RuoiGuJOaxB9ES859q1NwrgBidBiFpM2SwzCUKJOLY971GalSpCxu165bZalyDfretTTXwkUsJCsCnoWgCMSBG6NwhHtinTQ8ni8pzwBktwkHPBlmOHBjjGkNB8H9SDVHnqeczCc0kWviMfUZbBCaM8uT5ku5Gx0XpMsFGLmcA1tD87Gv9xUrUYKvXGiQLQPRgHW8yKgt8XMLXFiObTWQIt9i0j0HDaTmxMk2Uk4sisXQw6gYacBZLKEAjz39QsvKWyB2zci8jdXiMdnVlNF1LWsAPvVeKPT6thOgjFeeK8KnqsDQ89kVl/YYkjafLKCHFfOoXIP52Mf/1PukuFEP69P+uDvMabxK4LiV49kXgSUoKPvesjcgW5Ky/uR687GPga/TvAedDxYYvYSpWp0Mh9VANxERzjnnHBx++OEKBjr66KNx++236zGPetSj8I1vfAP77LMPTj/9dDz/+c/Hb/zGb+C2227DddddN5HsLNcFGIB0+umn4/rrr8fjH/94bN68+V6lHKzY3bTPPvvgOc95TuszG3HfFShXbm3M74kEHZO03i7iyBaJ8yCMJScCUu+nbhX2A+X+CwPU6g+3bTpHScOpUtZwHQugAPbCImry2NoM4MmhATPnHM9w6gtvEkZdCtENihrDwJu79BHDUKHyAaVP7hEKqZYPkw3y8t+kvTBCElSClArE+RRbkVxPjsstLzguW8Fug5SdnbRXcSFlfzb7xAW9JHO2JazNQtWzi0DmDIAycrYIsk9dSkQzOkeqgaYCir6Z0JArF7TIn2SkZ0bstCyK0EQmPCEl7CUiOc7pz8IoDJVrVEMddCwIobHR0G0GtsByhYTh/aiZw7pihLlirBYfANwV1ql1Fn2NEDlRUQSvCCa9V4oTANmlZOdcBJbWXAIQYu7OKLEWuQbPbw7cA5IvEROqLmLOjSClxAdJyIkAX1cM1Xqdj31sjWuw3i9Cqh1oEUXKCsh87LeS7qRFrcxX10qyFh4AfSf6LEmBWRUirIol8dWvfhUf+chHcPTRR2PTpk0AgDe+8Y047bTTph5/5JFH4rnPfS6OOOIIlGWJd73rXVPdR5s3b1aE6nOe8xycdtppICL0+31ceuml2Lhx44rGtyIh8cxnPlNNlcXFRdx444047LDDcPXVV6/oJvcHuQQFVOijaEXiY0ZQd5Mk8ABt4SCk3ecQcpJUciPY5C5B1kQ4tR4kqDpwDebKsUJckXzknCkd4WOJpqiVSct9PUg/846wGCar3/d8wDCUaKJH6SIWQ4UyoTxkU8ckDK2AyG60bi+MPHdDKpOLK7UB9YuKUc+CIjem3xoH/OydoDTA2etbwpw2/xlShRCzO0ZqPMn8ekccWO66STrBXxHEFWCYWarIm9xiwjisu0jIVpDN79ynYGyh2rRAkhlpVuYxI7u7FmIf8CMUqq3WqnkDUC1dSC2UhBqTDoAy1jXFuFWWhM8RbT9bRYWijyx8ejIgK0JjaCrTBnIYpbyWbNU4dZtqHxZ18410/YjbTRIGewmdNEDNMF5wD471fqToM6H1fqjKiHQMBIBeITlIueKwhZSzVS/znpGIo5hzc7gbYVC0YhSLEXmfZkFRA9ixiqiWHFYH3fSEJzxhapzBUjcG/JrXvAavec1rlj0nhIBt27ZNXHthYeFejW9FQuI//uM/Wn9/85vfxHvf+957daP7g6y2x1pSKrNBkhjUaDcyAJlR2KCpBtCahOaoU10dzmQeGWSGXEMoo02yz1RcUOJnt6UvKs/F+IQBAEATCzQyHsoCS4LdQuKyinAYhxLz6LdqRSlRJwBsxiCNe/g7hxFxD+Pac9C+nzRILs/NBQK30oADg0mArvUjCMRTNjRQKLP0iAztNHEES6Jp2u8l8TCXlW6yxYGcYNiNExSO0E+FG61LTQVFSyhkuLSsg8zY8/hCgt+KC4RjA9m9E8mphj/nR5o8KTkbADezGsYKUktL3uk4Fa+T9cgNlCRBrNB4S983WgIEyEg+Bg302D3agWtnOG+lz2UVomkCQhBhAp6oPL+Xu7A25zQk5YFLsRMW0IP0Tp/zHI+Y8yNsCTzf86lDoMQlFmI/uTj7GKFSt+rDym2tzoc1OA4o1YuDy/kzIjTtOOTzhaSszPkxPCKC85ooC2Ci1MtO0y6ccb1hwwa89rWv3enr7FCVvmOPPRZXXnnlTt98NckBkDakwug9uIQwM7nMaKQYmHSCk8YvkiwFIME6uXeB7eQm8ERhbK2OcMndZLVWyZTue3YTzEmQFoRRLFEWXt0sC4Fr/vQSo2giH9cYkzqSR+kjmlRbqIkM7WuSa2oRvbR5mhRjYBZhBZH480WbawSCGr3CdeeKsSKbYoohCHObj31t5ymVOqdpy4JLz6XKncaIPKJmtDPDzoglRgTlYLWUTInJGtOM93QtyUauU8AWyK5A8dPbvhNColkCmPhOrboUOO2lsu/DmMuL8FwykGEhJZNx17mI2uVifvJM3dIswuyic6hcg4XYw1wxxt0Nu0NGVOXS4mY+ZI3ZGJm1XjyiBnPt/eQdiCUUO4K7joXmH/RdjYXQa6HxpKps6QPWFaOW8K1cdgMF+BRXSp0PkyAQC21rWMNZ5VRg73Ke57LhOZrzI+7UFysWrJRBJDIPNbKlm3ttOI1tiMVqY1ziSbDrczXIbccCeCBpe9bJSmlFs2Uzr2OM+OY3v4l99913VQawWqRNhVxENElogKngCsGuOwxRaYkG2czilmHEjixC1pJ7LqBOWbcZ2ZFbPAKpyFysVBOTbGcpvCfB0n5qnBOxhhEZKOARUKBE6QJ6ntDEIuG7nVoNTeRs7yayoBjHAk1M+RWRczC8Y+brifNC+ga1YtuIbouluqIWQpW1sVBgrkidx5JfX4K3FQLmk/UxpBJ7FwvYGvum2F92ZwCmBhR5na9h6gFuazExjLLXgsFKqZBcopo3PMcaTMxC3132o9tryPvhLoTZt96lHFPJta/EcgAEHVYr47ElUICk4aYExb6vUyn2zKinuTW1TEsK/vZTccl1xQijWGIx9LCmGqsgVKHCto1aN2yNyVy7CSYosOAhVS0XTQthZWMl0WNEaxRR18QCvaJhsISLKCKvzzXFOFt0PhjBw+gmbvuahVlN0DEXjptA3dWsha8iFhruKGjhuML8rbUofT2k8GT+vF2JWeapTu5TfjSxQFapLMcqxSTuK/rCF76wKtdZkZCQzGuAMbbPfOYzdwimel8SIZvcFiY3ppIDywmeqv2BSRhDLieRteHMbIaRa9R7J32Ao9ZJGqBGIQX8EiMCsrDR1pqQ0tI5W9q7iDk/TtqS0++QzOjo2NwfhVSBNZYKoRUrQqyhYSgxV9YsSKhAHT1Kxx3xKgp6z25+gfiyJe5RucgJeoaGVGIhZVNvpTXawCWgxl1hTrVta0kUqQkMn8/WmSSJiQasVW/hNAvdZokDyFnqxvVitcYALslRIbQCwMIsvWtbh5axi8CY6B2e5mcUK9zVrMWWeo4FvedS7JUPWFcM2zDcFCCX+a1DgW1hgHXFMFmijV7bCseu+y271/j9+5KFhWWSkvxXuYBxKm8iltRC7CuTlfuxUsP32hYGmunfJSn7UkeP+dDHYqgwTmsvksO4ZnemlI4fFVwBYG2Z4LrE1qt3EYgpSdDlMiF2TNIv3ju2preFgUECMlMXpcNaTfz+swC37lcbwO6W6q+pTI2j5FolVou7rxTd9EDIkpXml22PViQkjjjiiIkM649//OM7nXW9mhRTME5cAZIIJFUxayq4pHZCZ8BBXVGCFQcy2kUXY0JYWP93ZrRlKyHO1llSFEry5VprRiyKygX4ImmakRPnqtRVK1JUN1AjCCRTsynDI/neC01mgKULquENUSmztYxNMsK5LAVBWnkWoKSNZhfPXc06RipRyYKNqla3ry7zFabELphShbZkdfPcFclPnxL1EmqlMYzTh4ys2RoGrWP7vtHn0jpaLpdYB3KvabHuZJ14R7g7zBmm0vZRD6nCj+q12Bb62BY4N8WD81r6vsFC0cOe5aK6hfopaFr5RmMOIgi0bITkZFD7fnVq7cpCO89PX3qC+4D1xRCS7NfN21DLJlkIgjqTtSwuvphQUtPWKwCAIkbE1stiqHSdyZyJcsKuT8K2poc9KhZifd+g77lsS+Eiw2AjtEqxAhSS626kriR2sw6TAjGAzIPTeI+FI1vBalGEkwgnp10PhQpK8YnUyRFoK0M7SisNb+zCBsd2aUVC4sILL5wQCNM+eyCJ4FR7lUYzYkJL6QCpCgrkst+AaKcZRggChigNg0vlEZJQQWQXgZwrQdbsP46qwUViP2tMKJ65VB5ZrIxRrDBXjFpCJMBjlF5No+N1rThEmYLnalU4wrDhc8qkRRWpZIVUprXMS8YeU+LYMFQYFLXeaxRzXKHyQct7s1XRYAG9VhBXhHJwXJtnC81xIJQKLBAnfwnDz+4H4w8nTiSTDV+lFqQxOKMRFjo+T1zNto5lK8guJNqkHV8GFmTmIhqpdVNsDQOMqMJ86GMcS81wb8ijLryWVqmj19pZtQtAbLcgHaX5qYx15hMEGYCCGeT91GDrSdrhVshVUT18y12WLV0DPkC7vEzOIchoMkST25KuIwURm1hofbCxCWBHcsnd6bW8jKy9ubLEXDlGXaTSMkhNqHxWNEQm1lRqPoh2e0SOe4mFrmvWZQDDkEp91xaBpeCL9B5lhkZpHdlKxhIX5Hm5B6tCuzP3XyEtKyQ+97nP4bOf/SxuvfXWVtOKe+65Z6c70602EXLDIUXvdCqgAu1GJJ6kPWf7mHEqNVw4wphia9O1A7QFQAXWFRzE7blGfbPDWGldIxlHMJpQTBuKyz/nujcAMOogmRryqtlZra70EUGa46QYBRqg5xtUyU3BNXBiS5O2ORPiImtigQXKNY3q5HPu+wb91Meg72vUscS2OEDlA7ZhoOgSYbYjV+GusFbnoDVXyTcs2rYIcXFzCKNiBh7hi4jCwYxXLLH83iVm0M1zGfgakp0tPmiBIwtE2Y6x8g0WArvAGiqwECqMQolxgho30SMW7PabK8aIcKlmlseaYqwuOxHO0iN7RF7fkcavkjCxQlKEiTBC+UwoElcy1YBtJ6Ara1vesUCIQxoHjy22cmRk3tT1iCQMZL2leZe/R6FUIVEVAYvJei1Tj/FYcLIoN3lyqcR7brkr8y9WhFDhTFY6eSyo6y9lR7t24uQ0skqHjUcOUarCIGtludjUvSLaPdqX7iwty+kPOOAAHH/88bjkkktw3HHH6efr16/Hn/zJn9zng7s3FOHwo2Ztzl3w4reXwGdGO4mbRExdoG22Sr6DmKaSBBY8wx2t2SsMsgA3rrElPhguSyoggKzRasJPimn0k5DQDGBk94A+IzmMQ8EVbx2xZpdcUQVF9IsGDXkMQ6UZ2QBDbUsEvYbEIryL6PkG800fpQ9oYoG7x2v0ng15NEWtQdTSZ/dGHQReyhtvFEusKWpsS5YHwFqqZQiL1Gu5OgQZNAoMw5TAfB1LNKm0u7hy5BwReNaqAFhYyHcLscS20OcaSC7CO3aT3R1SxzLyGLmqFQOJcNiWfPGR2FpYCD0sNFW24IjzUmKyvHoFNw6SVqEAu4lYS3bqxvOJUVvfPJxXay0tVM6hMZh+da0AqbMhd7YTLVnGDVgBkaGiGS0G/cyuJbHeLNy4dFGFolgS8vwhehA5hJjfYR0KLDQVej41NJLgNqToIcz8DlQZmCvq1G437wvZh5IImRNdcwn1bhkbsbQkr8KurwgHTx7RcX0wANp0a9XooS4kHvvYx+Kxj30szj777F3OcugSkVPtve8bLDQ9zPlxSizjjbZAhbbuFMigFsNLVgVvwir5STOGvaY5DVxLYyO2NoJqYt0Fs64YYlsYqItB/M+yCZDGZSGfVjB4w+hlswqOHeQQkvkfyKFKKChBQw1dhdIHlFQgBo/a5SqzYt4Lc6vSBudCDC4ziMCMu+ebxNRj0hTzzxFlF5EImyIlDIo7y9KI1rSEjWi541hqlrl3nCCovTN8wugnl5mdE6ECUd1fER6lCwntxYxuwfVVw2YtPgXUU9/mOhSYb/qYDyz0xqHEOPD461CogBg7wjgWGCSBLMyo51mh8CSFFrmkhZR8b2KBUhkpoQkF+kV2hagLy8QZijTH1trh4GteaNay7fbi6AIWbI6GPadIcGy+h7wXnnuP7HJyjrguEhVogkfhiZMjEyS78R6lDxqjCDGjy+abPqTKAJAsB89zL/kYvP7d1NiD9sVQIZRdkBlO7HQv+tS2VtylPgn+yoeWsNwZcphZEnjuc5+Lv/mbv8Exxxwztcrgd77znftsYPeWCE7dFgAzn1FiytoFLlaoyqDQTiGBEAJBUUp1qjAZXQ4817HQawGCNOF6QrZiJYDWhqypwELTS35qZly1400griqpXWM1YhUWHemjVVlDwYwsOviSMAolqiKwPzkQSl+l2jtJS+wgl0RzF1SYCIhITiG23nGeBuduFIjpGo0PLa2uEYsslioEvCNUPiqzV4x/mk8RVrlNJTNXzQ9p9dggWNSKuMVGgV15tWtnSo9CX2MbPFfM0NmtwxYMMxiHUewhwLX88TIPXhijqZ9VFczse0VQwTx2JXqJ6ZcusPUQssbP8OIEj06aeAhVGk801X45qbFOxfy8CcTXsdSSIdIm165F+dvGV6yAGBnYM79vcaO2f66rRvjBwnp4Ryh9stxiwc/qWFg0ye3kkhAOyfpglF2R9l5EgwKjUGJbYCjtOPD6Xww9rCnmNbAuIAZPXkEMUkHAkqCjBBUnz9TaF9GjJqOImZpTFQIWwir1kwCAXThPYrVoWSHx9re/HQDw6U9/+n4ZzM4QQerTcJE07yKC68EHUhSI4N5zLftOTf7E/0WTkUQdG/CSDWfJwjftgs2Zrhklctd4LdaWI+xVLWLOjzVABxcw8DXuCWvagU7R/sEMS3ImAF6fMTp2AZAHQnIBIJV4bnp6Dj+X14Qouaa4q4ahwrAp1f8s1+IHAHqemYIwDcHM2+vLM/oo+SH5GKE6WTZCwpwzoCCjary4VyI3sI8uZ8e3rpnOL30wgoTHJK4ss0jU/yKuFrFixinbvYkew5C3RiS2PqNnZjhuSgTPzKzyQYXFODHB0ofWvHShmpEc+kUDTwR4qDDxzqklFAnYFrjDoZb2ts+cmLRFctm/ed1lpJXMfTvuI0F4VhREKHuQJmyOA9cI8yA4R/AEwAFlkZSF5P4chRL9otE1Vfv8nrPw5fW1rhipVZVjEZwB33IlwrGShtRDPlnWsgclETR3a/TqtgSQkhQj7ql7CtW1tZ92mmh1ynLs6rSskJBuSe9+97vxpje9qfXdq171qonPHkiixNABZjzbmgHWFJz8VBQ5aBXJc70h1yi2XMhW5VT8fsJ9i1kLtMsaANCFKouz6/sVF0qTGNKWhTWY7/Vx6NrbsRB6WFcOdYHLOUXS0ITBlC4yQyGHJnjtxAdkbU4Cug15xORLj+QwKHK+RpksAEWuSDA8BS0l5uEkZhA9nCOMg/iMKWuY6Tr2b7k+xBc8ZRdV5nMrHGRu7Zx5UCqCmNE2eRztaywGdrEVjhQGzDGqBEhILpUGOZjaxEIhn8P0syF243VdM94RkMACkRwQOShdx1xqRQRG6SN6SViIoBSEmQdhvunxcQksIHMnlqvGWmhO3TejWLQyl6XZVHeMYgHJvE4DB9QJ6WeFsi390vMBI0HL+YiqCGiiR79s1O2paw9O12MTfbJk2bLs+4bnF1zWvucbdUmNYok9e4sKCGmIy8VL/EuSRHlPJcaeFAWOk1VqicrPJlm/knO0plrE7aP18C7yPYnrnK0WPeSFhNA///M/TwiEz33uc7uUkAAMoyFGoVQuYuT4EeeKcQ4GppwJa5IDrJ1ZlEVMWbQ2KchaDLachdViMk7d6bUAYBw5yDcMJW4frlPYab9ocODgRwjkU1+IdmJa6QN6cPBRTPuIJh3jHIEMg61DwS6nUCAWTpm4uJDEty6apDDFcSiU2XOcg6GikRwoMuOW+4gAcY5SBdpcokLgt8Ik+fP8vQelkg1t7TXK3BnB5Z1PDDe0alp1XRBybQActDeafF8hpfy9oJCkxIdooewKkbyUpIFH32LC8sxFEhQiQGMotLaQxIwKF1sCwyaiybWGsVCrq+cDMzmXGXWlAIiylVSnuTexarnzRChKfEw+t9DiUSxZo0/zaQPTXeHfLxvM1z24UKBXBJ3DXmHGUbA70iWFgoPeBcYiFI0S4B1pHGa+6WNtOcJC6LX2klQNELLfieUR4LEYcuOqhljQy/phtyoLQ9ljd9drMCjqlOuyOjEJALPA9Z//+Z/j3e9+N2644YZWWdmtW7fi8Y9//H0+uHtDLXOTCmWEQE7cYvdOfuSF1FSmm/zUve4o9qa6jqyrAoBmRYubQUppSIBz2JRYaCplJE30WFcVKEPEGl+rhrUYePOzJp/dTNGlEh0+ptIWhAbMtAGgCR4SCg0JhZItCD6n9BHDNE77jOJmkc/ZrZJ6Doc2sxSfuvfMMMsiahJV4aMKEQ/+u1cE9JIw8SCUlIPoKiSsVWMYV68IWhq9qzUDxh1HzjDhDEctPffvEGEMANvqgfme3/dCU+k96ligThaVIHlswFzCc2JpiVvaubYbbNgkF1B6l5VaFqTvlAWI14S9QVGrNSSJahKPsYi6SMlV12QB4B1hhFIFgxXAQsw4y4m4izxPbJxaQKOGA73DpgKRUyuiVwQMkmupiezmhEdycbLVsA5ta09oMXBOSL9oGHaNjHirEpRW3km3ArJ3GZEl+04EwUJT5cKYAO4ZDTA/6mGuV6c12GBdNUavCNh/sEo5EpgFrvH85z8fz3jGM/DqV78af/RHf6Sfr1+/ftVSvleLCMCiweWLeckbKCMkhIaxQkMFYvL5SgyhoUKRTwD0d+v3rMm3tBcAuul6RWAXFaAauuLMm1LNdAmwLzQV5soad9Vz2LtaQCSHxcD9GwDWeEVAAMk/HAnRCUMuQASEwL0FiFwrlhZSwUNB4UjWLD9bjnfwnOXAb4gJDRPZvSUWBZFDjE4Fk3NAUSTB4AllEbTxjAiOoY8ofOq9UTbKHEvHRQPHJkHLCgsACWHlVWgAUIvGkjO71TLiSA6NYxfIIDbo+Qa9olHXkqBghqFky8HeWwSmWo/5+s4JvDW7kKSjncytc/wuJE9i7EqUSSOXNrfW6uJxVBNCtPQBa4qM7bfuTJ+C/XJsrmFGgA+mnEs7/6ErcGV+iXIODgANNI9CqcKuiR6DogEIepyLHDeQ84ehROkjBkU7RydDn7mntQjhAoQ6mjXQQWrx4PiHuJlECVtoKszXPX322+7cE/W2HlzjcLcH/JoG1aDBvntsw179Rdxdr2Y/iQe/lFhWSOy5557Yc8898bGPfQwAcPvtt2M4HGLbtm3Ytm3bLtV0iLt6VerbBYD50MfaYoS+1pUbCAAAS8hJREFUz31/AWTYY/Tw3nSOU/x59nFWLdNXsk9Zwx4bjUw2BcCN47vaeSCvkFUiWzOIYwbiJ+4n90q3rk8krvYqiCPviP3Egf3DzhGc4zWrMFnDOCNxEFDGI64gSyokzDl1kywJERANuzKIHJwndmsUHs4z4xy7ksfijUuqZMFRuIjFmoEDhY+qWcu97FiJXIJbZhefjZXYc6wbzD6LByEWyYIh4iz6UDKDS+cPQy7I2FBOfLMuPP4biJIv0HovTp/TvgOxKpwjUMzjqyPHIGQOvCPUgTD2hVpcck91C0bXQqlNI9uoSt93cuHJOrSCVuINPKZCn1vGGyiXiymS8qHBaXJofG6GJO60SLll7jgpQ40rFPWlFjE5AFkQspXkNZcBnQA0n2sC7bq3GIk2X/cwbCrU0WM4rtDcNeD5H3pQQaDKox6W2FKuQeiAEnaWHvKWhNCnPvUpbZW333774X/+539w+OGH71JNh+pkdnoQ5jpmbkPFhI9Z0UrBJh85Rc+oxdBZBWLiNsTa6Tj5ssVFYl02lBYzAPVhB3IY1yW88f1uHffRK4K6wniTlSk/IXZ6SbArrUnJdr0yAA0QnE/+8jxW6/4BoPkPNoYA5EKB6qNWppyeOXiOS9QeVHu44AAHUO3ggkPsEeAJlCwI5wF4FlLOE8a9gLKM8D7COSShwbBPQZrJGK2VIEybjM/dOUIzIVCyC0iup4IODk2M+swAsCAlytN1ekVQLVjGIPcjytBQOyd2rPKOXXoOa2XZMclzBgcgFMm6SgKDOM7RFH4CFMDae4G5cqRxpKVILQejhIxDhvUKammULITQWq/5OoX3CogY1xVDopucS7FYV+iXTSvILiXr7fsbJ+tGyt+PqdDyL2IlAW03ncYIzbWKhJqyLtwmemxLAmLYlKibAvNb1sDVDo4AP3SIPYAWC9AcYTQqEYJXZNbOksMscK30e7/3e7j88stx8skn41vf+ha++MUvqnWxq1CMDveM+6rV9HwD+IDF0ENNDI0sfTCaSIHSBQ2KSbBTtBpBSgy7cFcRDqFouSgA5ECvMefldyK2dpogJrZHLGIq7Bc02M7d9Li0hqBxBP7aGCuiTFp25QNcxbj1EF1LgxUXD5DrPdnN2HUDgDLjbKJHTAyaogMFxwJiZOaDWFgg8u+O5DMC+fQTQByWaAqC6wVUgwaN5CyUAVUZkmsGLVdN4UnnraXNo+12qpuC/9UFKDi4grB+3VBhxKIJFz4iJviXuLpE2xUXk61LJGOR+ZR3wEiePAXOETzQEjBELnkiJKfAqwCRc5wDondoHME5htI2nlSo2fcs70NiJhY1JZaD/G6tV7aUeI0K8x7LmiWHsRE2IWZrEWAXol1n4yTUxk0JlGzlCDxW1lJDPlnFeU+IYrLQ9JL7qdZ1LBxWqvrWRkGTysciLJuYFS7rxh02FcaBrd26KYD5Ai44+JGDi4CvHeA9oisRq4joCXcvrMGqZEoQzdxNQlVV4WEPexhijIgx4qlPfSpe9apX7dSNX/e61+Ev/uIvtC+F7el64YUX4n3vex+KosA73vEOnHrqqdu9XiCPbeM+m/Ag7NWX/gOMAy9ToTEREOxPNl3C0oKMivppfyeWgmzUJrbLAGRh4HRTAWhpWjE6NesjuVZMYBwKDISJSekLoznZcyxaZhy4JpIvSZmcCAmbvyDHAzmr2/rehVGSeYYozC46xFEBN04ac3Tsj3UAFYxWAgFo2LIAHOPpO8dRz2McPHwV4Dzpxu5VjWrdRGwBxZgti9iJg8jndVNguNADheQCaxz8YoEtoxKDdSP0qgbeE6p0Wu1SQcMYEROks44581kEkjB3iTk4RywEjesIaDN9EQwyNpeEbghen805AlwSEuZZnePclkAMVBALkDOZOfA/pgSAALWYsMR3GM2TLcFRynlprOCTJL4UC+DAvFdXWnpVyeJzIAc0oUS/bLAw7gElQI4Q6grreynvIAkPWWPjWLBFYVxbgpwTFJl07rPxHyRhLEUG2Q2Y29FaN5ooaJEcxg0rR03waMYFfO3hAuADgCjuIPYQxEGBOvBaWq10upm7KdFee+2Fbdu24UlPehLOPvts7LfffqtSpuOVr3wlfuu3fqv12TXXXIOLL74YV199NW677TacfPLJuPbaa6c2+rZEEbhr2xzWDsbKDPfoDVG6iFEoMQL7Uy0sdTGZwsJMpcCaWAti1ooP02poQAr8OigSRoVHdIjpp01UJ5r0nwvjF/8xgIQXJy4vMp7j49I4bUxC/O6NZ83KFPfMzA0G2mj82iogjFsidsYm46WQXEyUBATA+47lQbIk0jMWxMdEh2LI2hx78RxoRAiNQxg4uIqAfqOMqipzfMJ21LLoIR4bj6sJBcYLVRoEpZ/8a3FHhSEBYc6jLANi6RAR9FqhMK7IxMDyO8rvNpBHdIwas/NiGW8+0cRpAA3yU2K+zE1E0Dl4T3wX4oA/EYF8RHQsLFxkgVAWUZP2AChEWQRTVQT4SLmmV3Krcv5GjrFEI9w0zyZZiVFjJoDzCdKbLAC+T4WyCKibAlUZAHIYNhUGZa0uKat0jFN2tt5PlKn0Uemcus3qZEVJbbG6FWA3lWjNOl1oKrWO6pj3Xqw9eznTepSf4gyM8wVoHRBWqb6fvPcHO62I03/yk5/EYDDAn/zJn+CjH/0o7r777lXpnbrUvc466yz0+308+tGPxiGHHIIrrrgCJ5100vInkkM9KjEP4zIhj716Q/V7SjyBg28Z1qiadHBYSLV7JL4gLgnA+PDTwhXEk8QaQvQIIQuJLtMFrJBgTWpN2mhyrzrFOdaWCd0kMEPkEiHWdTQQWGIKaneROdYdYDH6Mj8WcmozycVfHRqvm9tFB9dkxo+KffbwyCoVObYaPAHkUSw6FGMJ9bCl0QBAjAgogT5nfIxGJXyRYyiWiVmAC+cleNSLJQ8iMWUUHP+gysMNHTD2aAouWdI0BYaOUJYBZRHhXKNlUbrk0jw5J+03s8bN36e4QuM75yVLpPE5d8XGDpLrjMCKQ4hATDGaHOiXuBIpWqyOrKk3PgsGq3z4hiaC+ePAtZXsGhTBSskiC8GDApcOEQuHDzSWUBIavojwRVY6Ch8xbEoFH4igkHhH6SPgshtTqgRIDE9AE7FwHNSOQHDsXhrbTHcDibZuUKkSMG44xgBw1jpC+53I84C4sWGx6BEqQqep4E7RzJJItHbtWv39RS960ard/J3vfCc+/OEP4/jjj8fb3vY2/NiP/RhuvfVWnHjiiXrMgQceiFtvvXXq+RdddBEuuugiAEC4Zx6xLjBOWtG6/ghN9NgyHmCuZNVh7LhkAtJClP7R4iMVX6cE+YCshQNZ25Y4RJ0246gpVUtVhkJQH29XSHhPiC6jaETojGOBbU1frZ81RQ2PjBQRV1Mkh2FTYlByFVKLiBHG34092ECo3XjWFy+MUHzWFA2TFobnEwNMCjwKylYFPxFrcN4hVhzQduThx3x8AYAWHYJzIO9YUPQCYnCIgTgBMN1DLS9yrd0YxgW7f8oIig6+iHAFMdNbExAax0IqcKEWKpjRNaGAcxbuCS1SZzOH5V7OcWXWnH2eLMTGK+DBopnkmjFdT95vmpbMiPVZDF4pCQWXXG0iJAAGJTRJoMg4gOyqsjGcQK4lIMTFGQMj08TCQbL2WHBhcoxN+t4T4oD9NkUVQVUAFUBBhPlxD+v6o/QUsV05VlxjCcItLqhhKpworinf9FruT+sWlT1nf44TEiuSwyi5moBkKdUSI8vWrjyXI3CsYqFAyOxs54jAgcgHOS0rJNavXz+1sB8RY8DvuWf5pJSTTz4ZP/jBDyY+v+CCC/DSl74U559/PpxzOP/88/Gbv/mbeP/73z+1efe0MQDAueeei3PPPRcA0H/UgUAEiBjudpefQ+EJa3o1tiU0w7reqJUB29JQpsAEgXZwV7QYgbKKa2lcm+Q09UMTuxoia4+WIgDn+bzC5czlYcPXWVeNAYmlJK1LYhw9BC3LLCWaRYhJwtyYitaGE9O/V7TLOHiQBgAFRVQb4chzj+SoJrYGyAFlYoC99JmimtjtQ8g+eSKHZi2hhEOxCLgaKJwDFanRZiCECKAgUPCINcNpRQiJkBJtOwavAoK1XBYAznE7U4+AMOf0Gi4xXmG4gPjmGURQlcF8liGhlWfYbkyaPwebxbphLZyj0Z14RNLUxU3XYrwSnzECVefNOZAjOA8EIzBkTA4Cc86WRohIsQNCCGjFGZrAgoz/pbGEhAQLThmpIx0GXEgxpWg+J0YHxX5EGAS2HCsgJqG0lfpYPxhBXWcmGxsuK2JcBp3QKxgZFci1ypnImhNQQd4rHYUm7b8QEzw7CSaKIvhkPSYLylqhEXANQ2NXix7yloTtbb0jdOmll67ouJe85CV41rOeBYAth1tuuUW/+973vocDDjhg+xdJCBxXEGJTYLjYQ1FGhOhQFhE+aYySzGQx+tzhLJvz1nyXYLf4QAVFBCTLIvmcYzLdAWas4udVzU0Wk+MEPfKs8S2OKwzrUjNDvePM7LmyxkLTYyHgIhZTlcxIDrHIcZRhKFHGLCQUi54Ko3XjFxIgFNgukdNnEn+2aKtOGSu7j5x3IHmQkjj+IPtN5suxE1iYCRxvzmYNv6NizEFFP3agMjFXKoA+96mm4DPzNW4V8gSKya/vk/sj/Sx8RAgeRcHPTf2gTNyX/O5F0MTo0tyndYG2z1vjFuQ1eC4Z540w3JhcMiDOnRB/e3J/EVxej4Ss2cr8iKDwKa8i8O/M0Pj7mIQijxtwyZIAwIgoTybIzOtNrD+BLFMSDtQ4uOQ2dNG1YJsuMVYXAN84kOe5FjACCw7Ajz0a1kEQJIYCvu9iEbGmqgGXUXRWASt9DkCXLmJtNebkNxN34Lhcer4OzLe7/9hiMvDotM/EYiAHxArwtQKoQDEtq8blNbsaNEM33Xf0/e9/XwsI/v3f/z2OOuooAMDpp5+O5z//+ZqXcd111+GEE05Y0TVd40EuwhG0fo1LvucSEQvjCt5zqYFY5UWokNW0ME2hUETKgTEAGgwkAuomlW5oPMK4aGm9vqS8fgTlk5hIhIfzQIPs/50nh7X9seLXy5jhqrZWToglj6fIFoSU/RinEtu66Yw10TXhxXIS7TQibbjI9XiiaGhGuDFXgoBFlJmr68m6Vox7KpZ8WphjpuQbcJyiShscBIwKZpppvqggvRQPGoBLFkQSEFXFENomCQiALTQiB5TILhvjfSiLnDcSokN0DKG1FiMRUCMjfgBmQqHhdqryfEQOlNwywpxc44B0jJdjdYFKbEbcUy7Pa/c4R4hFFhLs1iNNWlQryWWfvDBK0aopOrjaw4+dItJUQJBo1mYfpDCNWBOQ1xsBBAdfe8SaEIoCqCJbJWXE4oid/IOS0WTWGrcxNHFBeRDWVmNsGa1RV58EyXNfiTbzFQtinIL2dVMo0izG/Ow6fyUhpvdhrSXfYBaTuJf0gAmJ3/7t38a3v/1tOOfwqEc9Cu9973sBAEceeSSe+9zn4ogjjkBZlnjXu961XWQTACgEE5xl6QrW7EMjcQKGFLrI+PQ6coZrkSpcwmRD2xo8omErAin5e0MKiIbg2dfb+KxJOiCMXd78yfcrzMURFy7LNX/YgtlKffSr1JMgmd1SRsOiO+oozYHafSdKAxkUsvEJsUTErSaxlcJHDBxh3DBCSnI5sgWUrApPLPAcSTFOgY7kd+CSxUGU3RrCHAugmSNU8w6+BvyINVdHABrW/lSDbVxKyJPrpjhDYo7ek8YunOPS1SHmLGAbCyqSti1JVOKSUQCCqXmlqCTK8ZDYdGIzEWwlNL7NgKy7Rpixg3HfuKzqikfE8XpxkTV2gJk1ZwpTW7P3hJh+Oiug0V5jMu8uOPjGwdXIqDQRDmbcIKj1J4n4sWi7nFxkVyFqB5QeVERQ9AiOcyparlPpDknJ4vU5p8Jabet6I2wb9zFuihYKUASG/VuaazVBigkKLDpZ7eT0GWVNsdAjIJi59YCrzc12huwcPojpARMSH/nIR5b87jWveQ1e85rX3Otr+pA2dgAQPajk5jKxcHDeIyS3U+M5uWnkSi5OV0QNOAJGA8X0QGTdMGpGNEuqk49a3A4uuUkSU20JiMjXdGAYLiXN3fWYTTWBTerFulL8+TD1ElY4I/j5BO0kjHEsPl1BNCG3n7QxGE24QkbtcKE+Ht9wnJL41OQnZdK6d0XDTYIBcKztpklzlJ6TANQpUOwJKByaAVAuslaHoQMVLCCkZz0VhvkBLGg8JQuCVKiKBcDvLwMASgNxFUHMTYMqeRpIkmAMPr8fPcdlzTQ6VgDSu3QE1qqb7N5AYvCuccpklbmKJq73cPnZROggMWFxjXiACodYOcSStWJKVpwIShIhYcgB2WIIeUwqFOLEKVlYBaAI0Ps4Y0kI+dqBxh6xJMTCw5cRoeEs8V4ZMKxTH2rvc64JPCq0ExuBjBAcJFDJYl1pEL421kThuZSJxP9EwIurCUjxCGO1qVVHYrkRyLEFq5bbKhC/gge/lNi1e5LeC3KUNIQCcD6Z3CEtoATJjK6A+HwBtMx2/jtfrFtaQQKnRA7NKJXzELdD43lTRdfWrNONXLIwhOmwH5h9+oiEEAixqVAXhKKMaILHQlFplVUAGI4rZYgANGlQgphCOeDMFoYNDAK5WJ0tPQEAi2Pux00E9CrGxJdFAHrAuDEBWFFInZ3KZXZdcpVQ8oejYAhiXQDlokO5AJDn8gmhl1wBLjHDJFxQEtCLcFXUd+WLXNIDyG4iILuJiFyKITCAQILeCFPiBVO0Qgnk+jFUQPB7Tt+r5p6ZvGuSNm6v5TpGRHLVqWCIeQbVY5cEJxUAORakIjwELEA+j11jDUYotQQU8n31eae8Ot+0j7UFB1xk648zmNkydT6iSUpFWUQsjit4H7VWV86c5wKJ4k6N5FolWQoXMT/qqRXvU3VhxJzLI0ixkALyFBzgk0CvZV+lsTozxyJAZC+vXjsJuIc6uml3I187UJPMzIIXSCQAPgsK1fIdKeqIrHYhmrEzQsQIkzAqsrtAtEBhNsmKUBKXCdDSGrWMhd6OA8JELNSaccEB2ZKDuZrXAMAnRE5MgfYiQTSLJBQi8mayZBPrRKOzAqUsWDhxDSNozwSel2WEgHVZUPtQJ5tXaj0l9BNKgqudMqBixOeScwglqSZMHkAVgYoUzQSAkT/pOac9q00SI4F+ppIinBEOeOvDnvJMEsj1dRICIfmzZa2IGyny5/YYER7sKkrr0eVzXRCtn3+X4yCCxHynOSlJC46FXM+1x2tdQ+anFUpTX6PRvuV+imoqk6CSOIoItZAEbeOAyiEGaN4IM3ZGOgXnUCKqQOgmRkqSIoDk9iQsLPYAciiqgH7VaGC+9W7B92Mob0Y2uZDKcCAJV3GPmrlY1RjCzN20mxExmoEcgOAQC7DZXAuDgkGQyMYh9fXq3wBghIdzyf2BtODqvLDlWs4yHBMIdEkYMGbf5fIVRoMVk9gB6hd2nuv6x6ZMEE6odUPJmim0BLOUUGhj5iemR7Qww1RzADcV/isiEICQUrdbbhgycyKCVD9PJkV07c9TmQ5hfDrvEVziQbRj0fgSo4JnZoheZCuiaFsQas0ka2giWdGMOQaOF7lhgWIx+ehN8LalUcujJIvAWgeqlQuZ8fpGBAXxz3RcLPn5YuVagsAyKyscYNYCxRTcRx4feaTiiWbtWSFtj5XnsQJiQohnIaVCosnXdGMWEs1cvocNZLvGAQUzbUH2+bSnKKEKQ/QoEqKQXHYlUYovWIrEOTLNyCPUFWLfoddrl2yJ0RsrXt43K2iudtkSimx1qeXnjZBbNcZOmKGbdiNyEfDjvOm8Y8205R7xTjUrrjmUTXdL5AAqswBBzcKBGTrpplOIqDndBgRVKxRNGtReoFLqAkl4kWOGL878pK2y4AAICX5ZRI41Om7t6R2XdCh8kj3G5LaoJkuRuPy0lOSWB3dJMMoG5lITEbFJ4AEReF21rMusHOlzRxHAjg8g7+CIEPosKHyV4hIlsfZaElBRFhBFvo/kLHSz2YUHShE+3b/k4Mac+V0uujbDN9q+XKBV84cMY4n5PPsPEfBJOPS2RhRjHg95oJ7zCD2ep1i47CMXi8Hne1grQ9aOaL+y3sgEw63wsEKhZem49vWdCBdZXuIms89q5sYlxcuPgdiD7iW2nhyiZ2vCVZzISM6jrtO6S27REhGN86qcSEkQKSiY3ytp7M8VBKodmmGpCpHzpNahCCSto9WB9spzRbGqAECeVaylVaJVtUx2UXrQCAm7gFVbs58bLYo3atbuqJBSEvy9j2DBkMgGDV10inGHJFTJ4pTvnN14SQP3xJqXbGQZkyQ4QRhWui6YYZNqZqQII0mSQopRSEkHgXdKlVFgEikCSEAwWxC2OKHNRp5w5RBa42/NfZTncCoQqB8z/Ndqso44G5scooVhuvT8VcrBKKIGq9WvTmiVkpCANQDte6BgAfC78WOuIyW4eUW6yFBTDMHGFrqB5y5DzUyV4AJQLhILiJBepm9bLGpNiayEuZ4wdPncGGMybSpYpsz9hIDApGBwxMKaCmb8isCy1pMwUAYkZTdTcqWJZcRxGgKcQyzTfAOIAZxdn4AEEmBuQkyZ7dk9KOutu7aCgbYC4PL0Kas+NllxsRNENl4kz+7N/Kbrt+Itq0UzS2I3Iur4jDsBNw1WWQ3Ni9UALgIn/tfEyACz0RLDV4SPdRcZpq9QQ/G/i1UhzNJbLiFjckCD5FbKTFYOUqEkTNQLyoehtJ7YlNe8CJ9x55QkpXM52J3N99xJbalicBkKmufPznl+FmIBYakXdZ66EGCdMDhQZS7qRUCkf4m7SjkT/plVQRGKPgXdtVR3sopATt0Q1r2iQ7WWQZMUBKtdWyFiNFBHjJiRY2IJhJ5L13egwrEVgc69OgJB5tGZ320MQdczdc6z38s1rCLkkJQMHrcweD02mmu6bNWA2ucRspBwBT9DLMAxgAZAzcmJLlk6Wl8qCX5BCTbBaTY6r4e8LiyaLDYFaOx1jVNSwkIqYAiCAkh0vAI9FuEqFlrgZ9P9L69D8M47S5018WClB4+QAGtJsvBbbp/kN1aXgfBvERRNqilUpM1Upo3eETbpavobbzzKGz92jrMbOS1aKttZxLKIGfBtmELSzrOmSe34iQTiG0IUoVEkAVEwHsRaFd6RlgsREmECQPMFdC7Fukh1qPhDlycwja8lNbq2t+NxKnMkB4oZMABAYbMtYStWhMCQE0xY4zImDmERThNvyqcXbtYCFZkBuoiWdaHxhI6l0PX367qCCG5WMpo1Di5Scmm6vB6BLAhECADZzWSevxXkRh5+V7A4glqgOi4ZW/qcUpBbg+dAAleYfTAxadA9JOvfBwDjPHdabTgxaDQpi6hKDL/OZVHIkQaZtVwJMaAgLJbwCwX8yKGoudZXAYAqIPYjqOKgNVtgaWDkktuNByjKmwtm+cmekkeRJbLqMQkkZMyDm1bT8Hpgicw/u9GND7KliInmZRaOHwPlAlBuA8r59Pt8/r1YBPwIinjxNVCMHfyYm5xwUNRli8JcX3lrsP8yhl3hlgHwtYev+XdJiOKkKMcInbEDxh4YM2qH6gKxLhBGBZpRgXpYYjwqMR7zv7ouME7NeThRLvmFgzeJc0lQxNzTWur+QOolJUugNYkysXYlGe2WJzYLOLEQ4PM/JwIPYJirxCEIWfuc4vwVASiB+lxjyUCYywiqMrM0RX2h5SjGjLAqhoRixG4j3xBcnMJFRXjIP4G7OlYaYulSwyUzzsBxC7metWzl/XcTE62So3NJ7c9Fd3Cdz0VwaaBcMqmFcXqDkkL+jIPsQOwDoeJ/URBOBuXkg1mzjUv+fo5PUIo5tJowiQszejTDCuFHfbjvDzC4tcLgdo/+jxyqbUB/i+NEyzHgRz7vIbEaFCDiNFbHtdylj4l5HhGyRiisuoAAKxEr+bcc3XLLLXjqU5+Kww8/HEceeSTe/va3AwDOP/98bNy4EZs2bcLTn/503HbbbXrOhRdeiEMOOQSHHXYY/umf/ml1H6pDDypLYmIRWE3e+GZbe8/lY60loqak1erAn5MxM6nND1jzSVqkLty0mxnWmTVbB95Eqvm0VEaXnwlIuzj9WpIyFWGuVBBQcSkHV2Rt33lCNL/71JbS9qAWakIBce0AQDMueNO3gptOmRnJhMjDqNpn57GjAtu/ExqKAHa1FZFrFBWpphFB3WqtSxC4sJ/Lz+Bhkv/E1ULgWl5rAuJiOWld1h3rwU0OV59FXkk6rpV/4Mzacp3Hdu3rOCThJ3Pl0HZ/GdLxyjHTxjRtuFZAmGC1PkKyBiLymFvrP31uLR21fgjaG3YCWmvGpG7CtAdiXQILBaq7i1xTSeIgZK5HDGMNA7PBImWrwRMLCIG2pgRG35j723F0hW3H+N1pWoWYRFmWeNvb3oZjjz0WW7duxXHHHYdTTjkF5513Hv7wD/8QAPCOd7wDf/AHf4D3vOc9O9xzZ4fHd59c9YGg7su3G14WP5l3ahf3Cq+vgW6zqVsKrhUwxgcqvRSoEOaSmKO6YZBjGfZayIlZLd/nyOV7i8+/AMIAiBUxMkvHTFrmwRWEYFw5ki+ifuKUdAaAg4TJLeAko1VIOtT1Yg5Wi8UgxwnU1cyfnTAHp/WIANb4AaiAkHMygixrpkXJXZBtHSa9jTyPS3dxAAYBYc5z1zJxt6TgrA1u0hLVhoWxg9BmaEBrzSmzRZv52u/0Pq79mXlEvU8r1pWsDXFHWXRWS/Ex17XwYh1znhp2q8qaNdQCVtD062p8TOZAjktQ7yhmSgTc1jLlnGQlQuC2EkyWeCAVQOjl61JEfsgk4cSCYIGVrJlOkHpCOMjzA+gsmR0nQsfFvGO0YcMGrWO3fv16HH744bj11ltxxBFH6DHz8/OQatg73HNnB+nBIySAbD5P0Qhb8qPNdyaFBbUXkmpjsnlEixTNZ2yuKXENqx0SbwI1ndPNWzyps7AtysbCIlVgUNbCZGzFGNzHOWXiUmtDJwFSAbGKoDURKEVYUA4eSvVSJxvU5ZIHSZhxBVdiV5TNARG3koFqtjKadaOn372tdJonXGsQGe2ZovnboRW8FvKOW46qtpzu48uIsDagmPeqcarriXICnNaRgsrxPHZ01sQSa8ee37JSNXXfnG+/t8FWgHH9xiUla1rrW6XzVOiJICFWPMStZmMaeh3k81vP07FWWnkyywg035g1Y9aAr1MdtTTHakGk6xbcV4v3i7gDqyS8FFllBKqQCAhxw0ruyzTm3/1sCm/YUXLYvitJaPPmzTj++OP1b9vmwNJNN92Eb33rW/ipn/opAFyi6MMf/jD23HNPfPGLXwSAe9VzZzXowSMkkrk8sQBE+9nOwmgxhClaiNXWnDmmBZuE0dwSk5LNKjV9lhrHhICQ6zZT7il+7CnWjJd7p2e3As7Xko9QIAQH6nnEMrYZnWxAApxBkOjYao6NUEmKT+dQtFgQSTWNlnMZeGzqWiaF/4COgEhCxUsV2CgZ8nai0E44ThNhy0tbawIAXC8irI3AvGceZiuBOhZALvm5ldHLc4vQXY4fpPctDNnS1DUp30nehCCv0rPy+yd1+UicwxkBTEDLErL3sgpTKoic36sdQ0cAqqVsjmkJRLLDTwxc8o3M8VSSWs6uZitCwQIjUWiSQDCAkdhL5WosCtBYO+rqJRYOfmyUtCUsiAl32CoJCQBAXJkpse++++Ib3/jGssds27YNZ5xxBv70T/8Ue+yxBwDuvXPBBRfgwgsvxDvf+U68/vWvx73pubMa9OAREpZc3iTdBT+VRAMzgkI3VQv22LmNMfmn+WfVFeDQQpXYRd+1WloZviZ7t7UBnBFGaG9sK0yQtMocvxDrAKARWw7kEwTVmQc0NXCsSi0JS1TkzHXEpLmb+6UAQUuKaf4EODnPMs5uPgZbNpiIRVjXWPdcW7spH5+u5VKxuXWBx7vgmCGZ4+CTgO0wG9XOu8xnGuNZjkGhc1z3GjJdIiCIWgJB/rWUFesuM8LCiZxO7iTr929p3PJ6bFxA7mGVK7Ou9VUJfNwjJ+khrbHK3CtZnjDrmEqgKTvXkmB6mdF7E3NGTq+JBPSwpcCnCoju3K8mL+3wh2VpO+GCuq5xxhln4Oyzz8bP/dzPTXz//Oc/H8985jPx+te/fsd77uwgPWiEBCGZqrK4xc1itSDxvZuF4uziEySU3RAerVIF3SD2hMugc/2uENB7yncdlIwG4NK1W1qi3MdsSLm3MA+bLSvXiBUzCzJjdJHhqNz0xiXNzal1YMeucOC0wfU5khUB5DpUVEPLiLSlH+k1Ge2S3kV6mNzgCNzLIlXm1Wl2PLHEJ3EPiVTXx+ZHdEkyyOEJriTEPRuMe54DqAb94wJAAW1GQ5N5ExPvscOY85eGwaJ9XEt5gPneHG8t0zzfWfmZtq4sY3eBZbVrkN1IViOfMtZufoGO15zbsrhl3RljlFKJ8RhdVtTE9ZXqT6nFn36PFSH2kOJnlNy4Ls93BGvKIgyiWBG5j4eWmF9CSHf5wmrRalSBJSKcc845OPzww/Ebv/Eb+vl1112HQw89FABwySWX4DGPeQyAneu5syP0oBES07QedDcuOpsD5rhp75oyr+tqdVMXpr2fnNNlLEbzE2SNJAFapJSgPwC+T7RoFfGdE1oWjPrhjYYjm7+FmS+hm7FVs8qOVQSE6zzjNM4USAsqknfcaU003xYz6qri+W8VFq6dCyEd4FqCgliYBXjN87AtRPV6rTEnjuYA6kc06xyKBfbDcB5JmkOBJIvFlZ5BX60V2uZ9dW/VpW6AeSLGJX/TFMZD+RrdWIlau1YZsudNAbm3rAU5LcGy9RnMenfmui1B5I2ASAxfn6ETLwPMGhRmraAKvqkEoictQmolr9rkSKl1JYKtlWmtLyV/Z5W5VaFVEBJf/epX8ZGPfARHH300Nm3aBAB44xvfiPe973347ne/C+89HvnIR+I973kPgJ3oubOD9OAREkDLCmgJC+EXEiy2O4Tyoppw7QAK01NNsCuIMLnoWufKYjUbWs3jYDRV4y6ybiabBd4SEEBbK4rgonlJcMl3sTdFUEgJEkewrSpFS1Om1LFk7IdquQAgJEHhmKHzfLvEZGXi0vzbOlntwEL6YT4r0IlX8DzF6NgKiCw82+IGUy2KLhOlfgRXefDsH0fipw5sUdrzllE6Wu8Wk2thqrXQvURHYEhpcBdN/47AJ1trQgLvXXeQZk8j7wl9V5SnXYdi3VHyPB2hoALTPof8lJiHWMGSECjovWmvg/g9uUCQ6snk+XiXsLnZC+Dy2owcW/N1Ki8iDxLzs1rQx9Q45c7z9XyhVRAST3jCE6bGGU477bQlz9nRnjs7Qg8eIUF5gctiJmTtrbWJqePHtIy7w9S71oDWxLEaif2+c72uf9taLS1GZJ5DYwyCwOloPxMWkzyXy9+14hAeuXmNXEf8yOQU925J3HDyLDZITs6xG44ALVMineMS0kkDx5RdVXCkgemJzmpdqBeQisa1q7wC3PkuBo5tiGeidaowtU6cQuMTHvzMJSHMRVDJtZ0wToIi8y0+zumjTGio3bXWcktawUT5HbaUGeTfbYzJd/oU8LpK4w9yjHkvAowozfWTpm15upneiTU+zUhUK8L8U1kn+0AkrH0OUyLHukV17zikWIbLyDhCXpfelG9JCpVrnKm4i5byNjFXdp+lS7dcg6tBhFURErs6PXiEhCFhauovtZqaMMRpuGobCEyfT7iT5FJWgBhtvhgbpupap+m5qvyZQKl8KQlNJL/L50toZK0NaJBMYjVEcw39JzVxjKVgGWCrH7LZWCIgPbHQYa2NTyQgwxUt03BTBIZLvbNdR2C0ZilPNBlfGpGDN364iHa/ATvhun9tIMkRM6ICitKKjplrscCCwjkTGxJIb3ppVhi0RpwYmW+k5aibQFDpWhLGKXNrg5/pfuSdMqGJ+kDmXTixHK3G7NAS6joE1z6/pbiY57DnttayvE95Hhimb9w96vZpCYP2NdR61X2ahAWZoi3kFOXXFQwTypgZj30WGKWuOzerQbOmQ7sROaDtm+0w9BZZjUIEg5ionWMmjkdnA5qNbjuSKTOQBSrnSnBbGNC0oSWm1Q66L/HcFuEkm0+u5aBQRGWQmLJJVKNMX0RhkkkAOGhfiCxsKWt9zrrxEj9MENcJBqMqKOn3lC48kRchQkeyyNPNtd90JBD5KUJmaRJrAg6MoKmT4CoIYY7n3Y+ypWkFuFoKluHDHCMabwAHYZ0DCky3ApF/TiTEFea2puPcVBILJcthPo9aQ2fqCIaJ8SOf21rbdqyihFg5Pu17ERby3bTz/ZTjjcSfsPaT69e6he0YVO+wAkziYyKUVjlwPbMkdici5B626CzGaUzRQgcDJjcO8nXsZzZYaRcwYDar0cYsQxB/sUsbWzeQESxkNoxe01ArqIh8Lc2dSOfY7Fxldkbb5Ou4SYivxGdS5jQls197N8t8Sn5Ea1PmyWm7kzJH6c6Lk0CAHB8c/NjD1ZykFUtC7BOoH0FlqgyqxyNVBLUTDSOM0rjk3To5l3JlX+/YpUTM2GPPqdAqxikBjKAWqQ36drVwmXNbq6uluOiB5r1axUP+dRSKrtuz6/LSuZ22VqZYCksKHHtMlzqK0lQ+a+e8s+67J9jn1b0KtAQHgFy+o7M3p8XLHNrXyq2Hka3biEnLc0eJgIdCgb8HlZCw0L2W5trRmLqmdit+IMcZTckuA+V5LfWlvfnsAlaQzVLaFMznchM/ubHsZmkd7JBRHhETboxWpnJjinmbZ9S/xZoQpiRfpdiIWFtyrzxJlC0meS4CHCVorLqeyNwz/RKN4IqcdOXH2c0gBRNDattHVep47JFiDhkNBUDrUrW2LmEymC3zK4UE4XLAtHDaZEeexTciVKAIqFYgN1EsXevvlkvSvPNWn2XLKK2wcEaZ6Gj33Xe0lJIDtD9f1tXiJo9prUNRrib2D5njXb5UZ73rPHTnwwhfOX4i78c+jkfLdWbH39q/6edEzs1qCQleWKt1sV2WHjAhceaZZ+K73/0uAGDLli3Ya6+98O1vfxs33XQTDj/8cBx22GEAgBNPPFGhX9sj7SeBvCgmeENHUHRNVj1mCVjhVCsBk99brU4XbndBTxMaCktFe7EbE1vq3ei54sJKbqKY3qoE+9rmPCCd+LraGFeiNeOUexvNVnzvVjiRM8LHAdLHQq+tEE/XNvfF9El/+7pdYmEqKoWgTWY0vmCis7JnpdxHS0B059/UmsqWZZqvInVCq9iKipSQaMjCUJi0M/PVlb32MVUJMWPQMdrYkVzLWpvC7JDvq7XA0qMtZyXI+5hmXdixWPdPV0BorasIaEVbK7TkIZe4/4QQclDrs5XzA2QwBXXOc8iZ6eh8R+3P7KNJUuG073eKZkLivqO//uu/1t9/8zd/E3vuuaf+ffDBB+Pb3/72vbqeukpkkdvPgfbC6FgOLa1ODo9mUdpNZTU9e73OuQBabiP9Tk7pXM8KCAtzlevlwGhm0hqsTBqer/lcLWvkcoDZbsRWITufP7dYeR0btQWjWAyqxSZLpb1pXeu5LeyY+3TLMzvzvRycWn1qjIVU6ImlQ7ZkQ3S5dEdKCCTzfuU8Idusph3QNgqueX8uzaFPiJ38jJgUhF2y73AKL5lIhmwxzynXk6EncINMtQpxc88u825Zokb7pwQ9ledpW4KdddgglTw3154GAGk9ZGpX69rTnZ+T2sLJ4HOnChbK86WP2xEY3edvCeel5nZHaSYk7nsiIvzN3/wN/uVf/mXnL2YWkq6DiUU7qVFN08BaQVr53iW3C7UP7y5I/bzLcNNPRYTYMdoFbv3P3WBdR7sDsjDSOkBmPD5kweNraA6GJNXFElNRLzbQR1GNjwn3gPrru2Ob2IiSHevU8tHOY0C2hhy4oZK9nhEIiulvubsAaS3L1oVJ6JvYw2niIzevcSYuM/EeHTM4GAEutbTU5ZaYu6CMltLk1SXT+t5Nx/F3SaWXEUwiMDrKipPj09hE+1/KPSTPrbEWtPdHPpfariaxDgntfA6YMcq4Iwvv7h5YkjoCwn4OYEKodZWBiUB/9zqrlXdGBIQpGuaDjB5wIfHlL38Z+++/v6afA8CNN96IY445BnvssQfe8IY34IlPfOLKLtYVDtReML6rKU/T5g21hIlomjH97DDqbqygu2nkPpIhKvvH/tTxAi13l8Za0vkx5UC0nhHJ3QbkmAYyU5uIMVSG0aF9DEmAr6uFyVg7FpJ99q67r0XCK+Q4sQA6cyQxjva4nMZYNCdDhKJn1xBrpW0UVvv+2cpwUgI9ppuT+QnkpMK0LsSFSK49T+QMqk3ekWVQIkjhlDlnpky5wq5FQHXWSLqMKgATaCmYApJpjmHHaRWHDjkSiHGe/mnCQa0GXRdygrxAmTezRqbesK1o6Px6K/Db31siMzGyPieej/Ic69iMgNnVMq53dbpPhcTJJ5+MH/zgBxOfX3DBBfjZn/1ZAMDHPvYxPO95z9PvNmzYgJtvvhkPe9jDcNVVV+HZz342rr76aq2KaOmiiy7CRRddBABoFucnNKCJxT2t01haoKoNCnWPM1qa7ZcNGEGyxLlWy7aJcsoMzMZuXcPlTSmMSoUDkN1S0YwNmHB9qBCy7qxpFoq5rp474UrqPF9HgjgsoQV252bKeflvlxmIh3DZNF+pz3hwKZ+AsrARCeS6N8j31sq2STgs58dvKQgiGCVvQuMsybo0c9q9ngS4JwQFAAcef3aBIT+rmUc5XpUK83lrzMjrnrrzOmU++BqUM7OFWXeUnvZ52XKgJPklqXKCAXcEtkXv5Xfs9LuWwtb9CUx/oO7es8eb+2LVBQRm6KadpUsvvXTZ75umwd/93d/hqquu0s/6/T76/T4A4LjjjsPBBx+Ma6+9tlWLXcjWZJ/b/8dbjK+NwtAVncmhHTTrMkB7rGWU3U1pNzfMprX3Rb4XOse3GE93Ydv7SbyFjGAxPm0Nana0/2noFLVA7E97U8MYySOb56Kh2mvDfAfDmLqbWz6z87TEnNprSJkKKNPMLiAW7CwYMhPJCXtdTjHpL5c5cFPfnwrNpEBQkXgC5cxseS4RwkBH+C5DWQhRHq4oLQbAIIxV5Z+1CuX9dhUWaw103S+dMbTiAea9uLSoOnweWlXRkCb/AS0hIseTUVAE7DAV6m0Egz7fChg7ybPb8/T+yPt8tWlmSdy3dOmll+Ixj3kMDjzwQP1s8+bN2HvvvVEUBW644QZcd911OOigg1Z0vVZCG9kNlDQVsxABTGgbLca1xDH2O/3erBOC2ZwmO1Q3XIcRiCYqOQ1kjhFGqXtPxt/Z/F1X14S2JcxFrBOgFYQlKwS7TMdaGp15aUFegbZAspquHVdXyEZMjFt9zuJOste2Vobez+kkWGFhnz/fsH3/aYKqhVoy1lUsszxXK88gZkRQkPmuDVNtLxQV0k4vkTWD7hqza8c+W1cQTyG2Rqm1XpbSzBXEgMTI09QSwLW0SP5wk0LXDKqLYMow6GnPY8bS+XupW9il1H2F1D3QPiN1D9hJmgmJ+5YuvvjilqsJAC677DK89rWvRVmWKIoC73nPe7D33ntv91rkDPTTanF5Tbf93FPeLXU3Zpe6G8oyQjnE5BGQM+4FcRsJQ059I1uJcElr6rp4dDN0grHKlOz9WwOcMmY5Tq6ThI0w4i6D7l60G2jW56d8DR23MnZM3ZxLaboqHKdpl3aMLaEkEqY95on32P3cyQMYIteyuOy5Ylm15rzrYpJxdlqNonsrERRd96DRyLvnTGjZnd+nWXfTFIkW6s9CbYG8powlpc9vhMNS7LGrLEwVCtPGnu7duue05zf3tiCSlezZVRcQs8D1fUsf/OAHJz4744wzcMYZZ+zQ9aQNomrv0za6UHcDAJMqybTvuufI8WK9CPrJS1XR1JXNTWkiM4UULWSZqz2++yzLLXo35RD72RQGahEu0zaYFnGNesr04XSZgPlc/cNWyE5hyF2XzVSfdVeQdB9pKcHe0XSXex92TMpUO64LgZjyTdBymenvhlFPxBIIk0Khay2S/cK1nkez6+WzzoNPfQf6JdK754GTibe0nt0cvty1W59NEfCqtNnYROceresv8eFEcLp7P3tNWV9ucu53imaWxG5EsuiE+RPUlz7hjiE9ZZKmMUcssVDToVLySBgBgTd3dHaTu7zp5YKGCVDRlgkt3rTEmFZKuk8cJjfXFLLVvJcKWk9CJNs/uzfvMg2B4FrtsgWbBFqbvRWEdcglMuz55voTD7/Uz/Tr1GB7R+tvuTC7IAcBISSrrAuPZf7r4GWBpLmz79vBZaYzRUC01zHxPMhHgvqSuZGXaJ9XBAvympqm8Oj66wrYKVo+Osd1BXlLITCCYXvXmaDOupPzrUU04TIFJtavo1Xm6zMhsXsR2cJodjF1TWxAmTkw5Ts5ZHtah72GCIe0w1q5C10mCrRvbq7hOnt7yY0z5fypzH8akwWyd2ba9S0D7QpW8xzCxHxDbcBAZ2xkmEMswPGYAojJNdcCBkx7Zod2iEE2vNEa3bTn7DILN0UgWAG1zFxPrAPDCHPlVi1kyodMsWRj4bK1JlnL4m4kZOitIBEIisRqrW07vCmCzz6bTtaU7+y7aVlUnfnpaugT97THAS0k3XZdl8sI54k9a9+v7DNzjQlh3xV0nevvHNEM3bRbkYO6eoDOYpjGmDufqXbV+b4lKFZqici1uhq5w/QxwJyz3PWWud/ENVzn++6GtM8w5R5LWRptiDFpgJYBAzSdgTnLGNNFgmOGaiDBsEwGyAmHnWdouWM6452ed9H+ZwWFWiMTDzrl3dPkHKklk9BHClKT89MHruuKIsOUHWkfbYU1U6efwnZ40XZjL53n0t99HsdSAeQl3UJdwWDmwrYoXUrQTH8Q/l73set8J4css1eWfHa0v99pIoBoBTC23ZwePEIiUSvgZX+xWrbRGlubXv9nfq7kd/tzKWY8TXh1vp/QFLsCZ3sCQ07rCiMswQhbJ5ljRYmdpulZAWHGxBaTm7ivZQ4TZUqsFh3zcUtZCC1m1CHNAJbvLYPDpHxW4bgMc21loneEvvERqXZLQHYtCWTXQ2NM1gqzgWGdN+3Ol25xbwTDvWB8U4VC59nt7y1tvTOvajUYAdH62RUODkszbzvGzt8Tyof9pXu9aXv4vqKZJbH7EDmASrQ0vtbrc1M2ndHqJsi1jwGQXRJdJj/NsrDa3zQGP8XiaDEi6n7XlmbLuq2mUWcjbTdY6DoVY/W++WF1OiQWJHPu7HWAacwHyM9nNXIV3h1mMuFumsbY5Hsy11tCeMjfKgw72vGE+6mrzXcEhl0aTj6L5tmS8HARajW0mBkBrcxnmcvl1qZ97u28z9aYl9K0uwK5M2/TrIaJ47tCYCkBMWWcywmPe8uKVzU4vRTN0E27H7XKFUx82dbIl9LqJhhjouW0ezftc3vPpX6fGAtzhmlF07K7oq3BT8BHjUaaP+Snstoea3rTcg6EsVE+p0PTIJlLafiWtovv7zDi1tfmeNdlSEaT18dN71UY9jSBoOdS5/ryd+dZl+VUXUFhhIydG3EnkXn3IgymKRUrpWnMdykFaDk3zJICuCMcWi6rrhCYJiwA3SstS7erNGzv+cxYu7/b96eX6gp7+Wy1aBa43r1o6qaYxpDT53pO+mipzNQJ5A511l1HQExF/MCca/35cXJMFs1iS4BoUNuWabYlEvRBXOfvVLobHPyUIDN5Migh19rgfJ7Z1EtQa76X0RS7AmKCltpr2xE8LTedvZQVHOaAiePJMBdz7r2y1lQydAQFzOf2pmagVhB1az7ZZ2xR9+/lNPCVfNcVnOaaUwUDsOy77o7VygSgLUDt/Ntrd2lqjKIjECd+344SshpEcRaT2H2pw9SB9qafFozuIicmGH1XQCyxkVVYGYHhA01cr1VyWcdBreuQeUN6bnC5DhU53chWSExlDg5TgpDd7Ngp5y1BE3O4rLZO6W+X34e51pL+9SnMa8kxktzLDEluZ9+VXG+KljnhplyGlmI45Nr3mEDomLEBy4+lNfTlBtYR1pODbY9v4rPusZ331zqve49p3yPNpZv8fWIcS4152nH22Clz1l5U+d7279UjwsyS2M1oqlZrGLNobdNcPXKOPR8wmp5l7CvR5OxGJCQfP+mYCNDy0uJ+6KJaJjZVGgtj4N2EYJqwIKbMy4SmOI35LqGhTTA7q4Evo2XaHgHTxmDPW+r75cbdIisouhZC9/iuwDHn3mvqMHq7pFruFfm8K4ymWAvLWnBLnLbdE6b8vZL5XkoQTFx7meP0mWVfLnU9Q1O/n2JxLQnMmDJBq2ZNEGaB692KrGae/tbPp1kD1D6m9RPTrQ4CchJVV0vpnE8OWr5B+ylTh4O0xtZWG5ddyCvhHvfilHtzDeruxuW0w+1ddwmGvxKXwsT1pmm+3eOmXF+FiTD45eZ9e3M45fulrITtcvftfL9d1rTSdbCSud6Oxr9dwdE9zsy1BYNMu+eKGfpOzueOEAGgWeB69yEHaO+E1ufTmLjLGs0EYmnKYrIBzq7pT51znPleb7eEIOna+FM3xH2pCe0g3StBsL3ztvPZkgJj2vErYXJLjWPiolPGdm8EyBICbMKFtBJarfd9bxWI5bT4pSxMud4OrNvWlC1z7L1SeO5LIgJmeRK7EREm2pCuiJlOYwxWq+m6I7Zzvv1zuwxhR8a3AlqtPbRTvGklg9gRV8NqnLsSurfnr2Cydli47+CzbHcOdmaOlnmWJZ9zlYTdriIjAIBm7qbdi3bYl7ySz3Dv1/iDf/nMaFem7e6H2QLdeZpZErsPra0XseafP3qfXHvz5s3Yd99975Nr7yjNxrQy2hXHBOya43oojemmm27a6Wv89Kkn4I47blzRsfvss89O3++BIkf0EMBw7SQdf/zx+MY3vvFAD6NFszGtjHbFMQG75rhmY5rRNLovGvrNaEYzmtGMHiQ0ExIzmtGMZjSjJWkmJFZA55577gM9hAmajWlltCuOCdg1xzUb04ym0SwmMaMZzWhGM1qSZpbEjGY0oxnNaEmaCYkZzWhGM5rRkjQTEoY+/vGP48gjj4T3vgW7u+mmm7BmzRps2rQJmzZtwq/8yq/od1dddRWOPvpoHHLIIXjFK16B1fbeLTUmALjwwgtxyCGH4LDDDsM//dM/3W9j6tLrXvc6POIRj9D5+exnP7vdMd4f9I//+I847LDDcMghh+CP/uiP7td7W3rUox6Fo48+Gps2bcLxxx8PALjrrrtwyimn4NBDD8Upp5yCH/3oR/fpGF784hdjv/32w1FHHaWfLTeG++O9TRvTrrqWHtJEM1K65ppr6L/+67/oyU9+Ml155ZX6+Y033khHHnnk1HMe97jH0de+9jWKMdLP/MzP0Gc/+9n7ZUxXX301bdy4kYbDId1www100EEHUdM098uYuvT7v//79Ja3vGXi8+XGeF9T0zR00EEH0fXXX0+j0Yg2btxIV1999f1y7y498pGPpM2bN7c+O++88+jCCy8kIqILL7yQfvu3f/s+HcO//uu/0lVXXdVax0uN4f56b9PGtCuupYc6zSwJQ4cffjgOO+ywFR///e9/H/fccw9OOukkOOfwwhe+EP/wD/9wv4zpk5/8JM466yz0+308+tGPxiGHHIIrrrjifhnTSmmpMd4fdMUVV+CQQw7BQQcdhF6vh7POOguf/OQn75d7r4Q++clP4kUvehEA4EUvetF9/o6e9KQnYe+9917RGO6v9zZtTEvRA7mWHuo0ExIrpBtvvBHHHHMMnvzkJ+PLX/4yAODWW2/FgQceqMcceOCBuPXWW++X8dx666348R//8Yl7P1Bjeuc734mNGzfixS9+sbotlhrj/UEP5L275JzD05/+dBx33HG46KKLAAA//OEPsWHDBgDAhg0bcPvtt9/v41pqDA/03O1qa+mhTg+a2k0rpZNPPhk/+MEPJj6/4IIL8LM/+7NTz9mwYQNuvvlmPOxhD8NVV12FZz/72bj66qun+vrdkt1PVndMS917tcZ0b8b40pe+FOeffz6cczj//PPxm7/5m3j/+99/n41lJfRA3rtLX/3qV3HAAQfg9ttvxymnnILHPOYxD8g4VkoP5NztimvpoU4POSFx6aWX3utz+v0++v0+AOC4447DwQcfjGuvvRYHHnggvve97+lx3/ve93DAAQfcL2M68MADccstt0zce7XGtKNjfMlLXoJnPetZy47x/qAH8t5dkvvut99+eM5znoMrrrgC+++/P77//e9jw4YN+P73v4/99tvvfh/XUmN4IOdu//331993lbX0UKeZu2kFtHnzZoTUgeqGG27Addddh4MOOggbNmzA+vXrcfnll4OI8OEPf3hJzX+16fTTT8fFF1+M0WiEG2+8Eddddx1OOOGEB2RM3//+9/X3v//7v1e0ylJjvD/ocY97HK677jrceOONGI/HuPjii3H66affL/e2ND8/j61bt+rvn//853HUUUfh9NNPx4c+9CEAwIc+9KH7bd1YWmoMD+R72xXX0kOeHrCQ+S5If/d3f0ePeMQjqNfr0X777UdPf/rTiYjoE5/4BB1xxBG0ceNGOuaYY+iSSy7Rc6688ko68sgj6aCDDqKXvexlFGO8X8ZERPSGN7yBDjroIPrJn/zJFoLpvh5Tl37hF36BjjrqKDr66KPpf/2v/0W33Xbbdsd4f9BnPvMZOvTQQ+mggw6iN7zhDffrvYWuv/562rhxI23cuJGOOOIIHccdd9xBT3va0+iQQw6hpz3taXTnnXfep+M466yz6OEPfziVZUmPeMQj6C//8i+XHcP98d6mjWlXXUsPZZqV5ZjRjGY0oxktSTN304xmNKMZzWhJmgmJGc1oRjOa0ZI0ExIzmtGMZjSjJWkmJGY0oxnNaEZL0kxIzGhGM5rRjJakmZCY0YxmNKMZLUkzIfEQonXr1q36NS+55BItw/0P//APuOaaa+71NZ7ylKdMlEHf3vGHHXYYLrnkkonvbrrpplbp6Qc7vfGNb9TfFxcXsWnTJvR6Pdxxxx0P4Khm9GCimZCY0U7R6aefjt/5nd8BsONCYkfoox/96H2eQS1Z9rsyWSGxZs0afPvb356Vq5jRqtJMSDwEiYhw3nnn4aijjsLRRx+Nv/7rvwYAfOlLX8JTnvIU/O///b/xmMc8BmeffbYWVvvsZz+LxzzmMXjCE56AV7ziFVpT54Mf/CBe/vKX42tf+xouueQSnHfeedi0aROuv/76loVwxx134FGPehQA1njPOussbNy4EWeeeSYWFxd1bJ///Odx0kkn4dhjj8XP//zPY9u2bdt9nquuugqPfexjcdJJJ+Fd73qXfh5CwHnnnYfHPe5x2LhxI9773vcCAGKM+NVf/VUceeSReNaznoXTTjsNn/jEJwBwg6A/+IM/wBOe8AR8/OMfX3I8V111FZ785CfjuOOOw6mnnqrlJN7xjnfgiCOOwMaNG3HWWWctOeb5+Xm8+MUvxuMe9zgcc8wxWsb8pptuwhOf+EQce+yxOPbYY/G1r30NAJereNKTnoRNmzbhqKOOwpe//GX8zu/8jloPZ5999nbnaUYz2iF6YBO+Z3R/0tq1a4mIy4ycfPLJ1DQN/eAHP6Af//Efp9tuu42++MUv0h577EG33HILhRDoxBNPpC9/+cu0uLhIBx54IN1www1ExOUUnvnMZxIR0Qc+8AF62cteRkREL3rRi+jjH/+43s82Stq8eTM98pGPJCKit73tbfRLv/RLRET07//+71QUBV155ZW0efNmeuITn0jbtm0jIqI/+qM/ote//vUTz9FtwHT00UfTl770JSIi+q3f+i1tYvPe976X/vAP/5CIiIbDIR133HF0ww030Mc//nF6xjOeQSEE+v73v0977bWXjvuRj3wkvelNb9IxTxvPeDymk046iW6//XYiIrr44ov1eTZs2EDD4ZCIiH70ox8t+S5e/epX00c+8hE97tBDD6Vt27bR/Pw8LS4uEhHRtddeS8cddxwREb31rW/Vkh5N09A999zTeqeWpjU5mtGMdpQeclVgZwR85StfwfOe9zwURYH9998fT37yk3HllVdijz32wAknnKD9KDZt2oSbbroJ69atw0EHHYRHP/rRAIDnPe952hdhR+iyyy7DK17xCgDAxo0bsXHjRgDA5ZdfjmuuuQaPf/zjAQDj8RgnnXTSste6++67sWXLFjz5yU8GALzgBS/A5z73OQBslXznO99RK+Huu+/Gddddh6985Sv4+Z//eXjv8fCHPxxPfepTW9c888wzlx3Pd7/7Xfznf/4nTjnlFABssUhfho0bN+Lss8/Gs5/9bDz72c9ectyf//zncckll+Ctb30rAGA4HOLmm2/GAQccgJe//OX49re/jaIocO211wLggoUvfvGLUdc1nv3sZ2PTpk3bmeUZzWh1aCYkHoJEy5TrkpLoAFAUBZqm2eEe2WVZIsYIgJmgpWm9AIgIp5xyCj72sY+t+B5EtGRfASLCn/3Zn+HUU09tff6Zz3xm2WuuXbt22fH8x3/8B4488kh8/etfnzj3M5/5DC677DJccskl+MM//ENcffXVKMvJbUZE+Nu//duJroOve93rsP/+++Pf//3fEWPEYDAAwF3cLrvsMnzmM5/BC17wApx33nl44QtfuOxzzGhGq0GzmMRDkJ70pCfhr//6rxFCwObNm3HZZZctW3b5MY95DG644QbcdNNNAKAxjC6tX79ey2ID7N+/6qqrAEC1ebn/Rz/6UQDAf/7nf+I73/kOAODEE0/EV7/6Vfz3f/83AGBhYUE16aVor732wp577omvfOUrAKDXBYBTTz0Vf/7nf466rgEA1157Lebn5/GEJzwBf/u3f4sYI374wx/iS1/60tRrLzWeww47DJs3b1YhUdc1rr76asQYccstt+CpT30q3vzmN2PLli1LxlROPfVU/Nmf/ZkK4G9961sA2NrZsGEDvPf4yEc+osHz//mf/8F+++2Hl7zkJTjnnHPwzW9+EwBQVZU+34xmdF/QTEg8BOk5z3kONm7ciMc+9rF42tOehje/+c14+MMfvuTxa9aswbvf/W78zM/8DJ7whCdg//33x5577jlx3FlnnYW3vOUtOOaYY3D99dfjt37rt/Dnf/7n+Omf/ukWJPOlL30ptm3bho0bN+LNb36zCqh9990XH/zgB/G85z0PGzduxIknnoj/+q//2u7zfOADH8DLXvYynHTSSVizZo1+/n/+z//BEUccgWOPPRZHHXUUfvmXfxlN0+CMM87AgQceqJ/91E/91NTnWWo8vV4Pn/jEJ/CqV70Kj33sY7Fp0yZ87WtfQwgBv/ALv4Cjjz4axxxzDF75yldir732mjrm888/H3VdY+PGjTjqqKNw/vnnAwB+9Vd/FR/60Idw4okn4tprr1Wr5ktf+hI2bdqEY445Bn/7t3+LX//1XwcAnHvuuerimtGM7gualQqf0Ypo27ZtWLduHYgIL3vZy3DooYfila985QMylqc85Sl461vfiuOPP36HryHPc+edd+KEE07AV7/61WUF5e5Ej3rUo/CNb3wD++yzzwM9lBk9CGhmScxoRfQXf/EX2LRpE4488kjcfffd+OVf/uUHbCx77703fvEXf3FqMt1K6VnPehY2bdqEJz7xiTj//PMfFAJC4LB1XcP72dae0erQzJKY0YzuQ/rABz6At7/97a3PHv/4x7fyOWY0o12ZZkJiRjOa0YxmtCTNbNIZzWhGM5rRkjQTEjOa0YxmNKMlaSYkZjSjGc1oRkvSTEjMaEYzmtGMlqT/D7Q3KBNaI5JAAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds.t.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7c6b54f",
   "metadata": {},
   "source": [
    "----\n",
    "\n",
    "**[Attribution](https://confluence.ecmwf.int/display/UDOC/ECMWF+Open+Data+-+Real+Time#ECMWFOpenDataRealTime-Attribution)**\n",
    "\n",
    "- Copyright statement: Copyright \"© 2022 European Centre for Medium-Range Weather Forecasts (ECMWF)\".\n",
    "- Source www.ecmwf.int\n",
    "- Licence Statement: This data is published under a Creative Commons Attribution 4.0 International (CC BY 4.0). https://creativecommons.org/licenses/by/4.0/\n",
    "- Disclaimer: ECMWF does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use.\n"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "68b4f2e50a7ed58bfdd900fbdfdbedaaf8a3e01f45deef876033be52417a9a2d"
  },
  "kernelspec": {
   "display_name": "Python 3.8.10 64-bit ('herbie': conda)",
   "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": "3.9.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
