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Rainbow5 xarray backend example
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import numpy as np\n", | |
| "import wradlib as wrl\n", | |
| "import xarray as xr" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Rainbow5 Xarray Backend\n", | |
| "\n", | |
| "Data from https://groups.google.com/g/wradlib-users/c/kcK7QZyys3A/m/oEV1VAttCQAJ" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "filename = \"/home/data/kai/projects/data/radar_all_over_the_world/RAINBOW/2017030700000300dBuZ.vol\"" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Simple volume read\n", | |
| "\n", | |
| "`reindex_angle=False` return angles as measured." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 19, | |
| "metadata": { | |
| "scrolled": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
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| "text": [ | |
| "CPU times: user 119 ms, sys: 0 ns, total: 119 ms\n", | |
| "Wall time: 118 ms\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%%time\n", | |
| "vol = wrl.io.rainbow.open_rainbow_dataset(filename, reindex_angle=False)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 20, | |
| "metadata": {}, | |
| "outputs": [ | |
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| "<wradlib.RadarVolume>\n", | |
| "Dimension(s): (sweep: 14)\n", | |
| "Elevation(s): (0.5, 1.5, 2.4, 3.3, 4.3, 5.2, 6.2, 7.5, 8.7, 10.0, 12.0, 14.0, 16.7, 19.5)" | |
| ] | |
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| "output_type": "display_data" | |
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| "source": [ | |
| "display(vol)" | |
| ] | |
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| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (azimuth: 187, range: 480)\n", | |
| "Coordinates:\n", | |
| " * azimuth (azimuth) float64 225.1 227.0 229.0 230.9 ... 220.5 222.4 224.4\n", | |
| " elevation (azimuth) float64 0.5 0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5 0.5\n", | |
| " * range (range) float32 250.0 750.0 1.25e+03 ... 2.392e+05 2.398e+05\n", | |
| " time datetime64[ns] 2017-03-07T00:00:03\n", | |
| " rtime (azimuth) datetime64[ns] 2017-03-07T00:00:03.047500 ... 2017-...\n", | |
| " longitude float64 102.6\n", | |
| " latitude float64 15.18\n", | |
| " altitude float64 256.0\n", | |
| " sweep_mode <U20 'azimuth_surveillance'\n", | |
| "Data variables:\n", | |
| " DBTH (azimuth, range) float32 58.0 86.5 80.5 82.0 ... nan nan nan nan\n", | |
| "Attributes:\n", | |
| " fixed_angle: 0.5</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f1579a37-8568-436e-8693-ed3a64e15283' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f1579a37-8568-436e-8693-ed3a64e15283' 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'>azimuth</span>: 187</li><li><span class='xr-has-index'>range</span>: 480</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-85553c4a-49b2-4736-8e1a-302c7e87be08' class='xr-section-summary-in' type='checkbox' checked><label for='section-85553c4a-49b2-4736-8e1a-302c7e87be08' class='xr-section-summary' >Coordinates: <span>(9)</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'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>225.1 227.0 229.0 ... 222.4 224.4</div><input id='attrs-bf52dde1-9404-4b4d-8dc9-0a2f5361c85a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf52dde1-9404-4b4d-8dc9-0a2f5361c85a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-544ff99e-497c-44b5-b221-8a01924cd06a' class='xr-var-data-in' type='checkbox'><label for='data-544ff99e-497c-44b5-b221-8a01924cd06a' title='Show/Hide data repr'><svg 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>ray_azimuth_angle</dd><dt><span>long_name :</span></dt><dd>azimuth_angle_from_true_north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_azimuth_coordinate</dd><dt><span>a1gate :</span></dt><dd>116</dd><dt><span>angle_res :</span></dt><dd>1.9</dd></dl></div><div class='xr-var-data'><pre>array([2.251236e+02, 2.270490e+02, 2.289880e+02, 2.309161e+02, 2.328442e+02,\n", | |
| " 2.347806e+02, 2.367114e+02, 2.386505e+02, 2.405759e+02, 2.425095e+02,\n", | |
| " 2.444293e+02, 2.463739e+02, 2.482993e+02, 2.502356e+02, 2.521719e+02,\n", | |
| " 2.541000e+02, 2.560281e+02, 2.579645e+02, 2.598926e+02, 2.618234e+02,\n", | |
| " 2.637598e+02, 2.656879e+02, 2.676242e+02, 2.695496e+02, 2.714859e+02,\n", | |
| " 2.734140e+02, 2.753476e+02, 2.772702e+02, 2.792038e+02, 2.811319e+02,\n", | |
| " 2.830682e+02, 2.850046e+02, 2.869327e+02, 2.888608e+02, 2.907861e+02,\n", | |
| " 2.927252e+02, 2.946533e+02, 2.965897e+02, 2.985150e+02, 3.004514e+02,\n", | |
| " 3.023767e+02, 3.043158e+02, 3.062411e+02, 3.081720e+02, 3.100946e+02,\n", | |
| " 3.120309e+02, 3.139618e+02, 3.159009e+02, 3.178372e+02, 3.197653e+02,\n", | |
| " 3.216907e+02, 3.236215e+02, 3.255579e+02, 3.274860e+02, 3.294250e+02,\n", | |
| " 3.313531e+02, 3.332895e+02, 3.352148e+02, 3.371457e+02, 3.390820e+02,\n", | |
| " 3.410101e+02, 3.429382e+02, 3.448773e+02, 3.468027e+02, 3.487418e+02,\n", | |
| " 3.506699e+02, 3.526089e+02, 3.545316e+02, 3.564597e+02, 3.583960e+02,\n", | |
| " 3.213501e-01, 2.257690e+00, 4.188538e+00, 6.122131e+00, 8.050232e+00,\n", | |
| " 9.978333e+00, 1.191467e+01, 1.384552e+01, 1.577637e+01, 1.771271e+01,\n", | |
| " 1.963806e+01, 2.157166e+01, 2.349701e+01, 2.543610e+01, 2.735596e+01,\n", | |
| " 2.929230e+01, 3.122314e+01, 3.315674e+01, 3.509308e+01, 3.702118e+01,\n", | |
| " 3.894928e+01, 4.088287e+01, 4.281097e+01, 4.475006e+01, 4.668091e+01,\n", | |
| " 4.860901e+01, 5.054260e+01, 5.246796e+01, 5.440430e+01, 5.633240e+01,\n", | |
| " 5.827148e+01, 6.019409e+01, 6.212769e+01, 6.405853e+01, 6.599762e+01,\n", | |
| " 6.793396e+01, 6.986206e+01, 7.178741e+01, 7.372375e+01, 7.565460e+01,\n", | |
| " 7.758545e+01, 7.952179e+01, 8.144714e+01, 8.338348e+01, 8.531158e+01,\n", | |
| " 8.724792e+01, 8.917603e+01, 9.111237e+01, 9.303223e+01, 9.496582e+01,\n", | |
| " 9.689392e+01, 9.883026e+01, 1.007693e+02, 1.026974e+02, 1.046255e+02,\n", | |
| " 1.065509e+02, 1.084900e+02, 1.104181e+02, 1.123544e+02, 1.142798e+02,\n", | |
| " 1.162161e+02, 1.181442e+02, 1.200806e+02, 1.220087e+02, 1.239368e+02,\n", | |
| " 1.258621e+02, 1.277957e+02, 1.297293e+02, 1.316629e+02, 1.335938e+02,\n", | |
| " 1.355273e+02, 1.374554e+02, 1.393863e+02, 1.413199e+02, 1.432507e+02,\n", | |
| " 1.451871e+02, 1.471152e+02, 1.490515e+02, 1.509824e+02, 1.529105e+02,\n", | |
| " 1.548468e+02, 1.567749e+02, 1.587003e+02, 1.606393e+02, 1.625674e+02,\n", | |
| " 1.645065e+02, 1.664346e+02, 1.683737e+02, 1.703018e+02, 1.722272e+02,\n", | |
| " 1.741635e+02, 1.760916e+02, 1.780225e+02, 1.799533e+02, 1.818814e+02,\n", | |
| " 1.838177e+02, 1.857486e+02, 1.876822e+02, 1.896075e+02, 1.915384e+02,\n", | |
| " 1.934747e+02, 1.954001e+02, 1.973364e+02, 1.992645e+02, 2.012009e+02,\n", | |
| " 2.031180e+02, 2.050571e+02, 2.069852e+02, 2.089188e+02, 2.108551e+02,\n", | |
| " 2.127859e+02, 2.147113e+02, 2.166449e+02, 2.185757e+02, 2.205121e+02,\n", | |
| " 2.224402e+02, 2.243710e+02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a5b64e97-b2f4-4026-8e38-cee8d1ec45ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5b64e97-b2f4-4026-8e38-cee8d1ec45ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86a914b7-289d-4580-acae-37feebdcdd9c' class='xr-var-data-in' type='checkbox'><label for='data-86a914b7-289d-4580-acae-37feebdcdd9c' title='Show/Hide data repr'><svg 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>ray_elevation_angle</dd><dt><span>long_name :</span></dt><dd>elevation_angle_from_horizontal_plane</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_elevation_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>250.0 750.0 ... 2.392e+05 2.398e+05</div><input id='attrs-c270d1ea-1cb1-4cd1-a445-ff7b26efe048' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c270d1ea-1cb1-4cd1-a445-ff7b26efe048' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67a88bc6-4432-4646-a7e1-65db6d0b3849' class='xr-var-data-in' type='checkbox'><label for='data-67a88bc6-4432-4646-a7e1-65db6d0b3849' title='Show/Hide data repr'><svg 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>meters</dd><dt><span>standard_name :</span></dt><dd>projection_range_coordinate</dd><dt><span>long_name :</span></dt><dd>range_to_measurement_volume</dd><dt><span>spacing_is_constant :</span></dt><dd>true</dd><dt><span>axis :</span></dt><dd>radial_range_coordinate</dd><dt><span>meters_to_center_of_first_gate :</span></dt><dd>250.0</dd><dt><span>meters_between_gates :</span></dt><dd>500.0</dd></dl></div><div class='xr-var-data'><pre>array([ 250., 750., 1250., ..., 238750., 239250., 239750.],\n", | |
| " dtype=float32)</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'>2017-03-07T00:00:03</div><input id='attrs-15823c2e-93cb-4b2f-9ca0-e75a84cc6754' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15823c2e-93cb-4b2f-9ca0-e75a84cc6754' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e44ebd51-48e9-4795-8aa1-862cc51be2fc' class='xr-var-data-in' type='checkbox'><label for='data-e44ebd51-48e9-4795-8aa1-862cc51be2fc' title='Show/Hide data repr'><svg 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></dl></div><div class='xr-var-data'><pre>array('2017-03-07T00:00:03.000000000', dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rtime</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-00e57bc4-8f27-478d-8288-69d32185ff29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00e57bc4-8f27-478d-8288-69d32185ff29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f610112c-e419-4283-b381-20bcbf5cb888' class='xr-var-data-in' type='checkbox'><label for='data-f610112c-e419-4283-b381-20bcbf5cb888' title='Show/Hide data repr'><svg 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></dl></div><div class='xr-var-data'><pre>array(['2017-03-07T00:00:03.047500000', '2017-03-07T00:00:03.142500000',\n", | |
| " '2017-03-07T00:00:03.237500000', '2017-03-07T00:00:03.332500000',\n", | |
| " '2017-03-07T00:00:03.427500000', '2017-03-07T00:00:03.522499999',\n", | |
| " '2017-03-07T00:00:03.617499999', '2017-03-07T00:00:03.712500000',\n", | |
| " '2017-03-07T00:00:03.807500000', '2017-03-07T00:00:03.902500000',\n", | |
| " '2017-03-07T00:00:03.997500000', '2017-03-07T00:00:04.092499999',\n", | |
| " '2017-03-07T00:00:04.187500000', '2017-03-07T00:00:04.282500000',\n", | |
| " '2017-03-07T00:00:04.377500000', '2017-03-07T00:00:04.472500000',\n", | |
| " '2017-03-07T00:00:04.567500000', '2017-03-07T00:00:04.662500000',\n", | |
| " '2017-03-07T00:00:04.757499999', '2017-03-07T00:00:04.852500000',\n", | |
| " '2017-03-07T00:00:04.947500000', '2017-03-07T00:00:05.042500000',\n", | |
| " '2017-03-07T00:00:05.137500000', '2017-03-07T00:00:05.232500000',\n", | |
| " '2017-03-07T00:00:05.327499999', '2017-03-07T00:00:05.422500000',\n", | |
| " '2017-03-07T00:00:05.517500000', '2017-03-07T00:00:05.612500000',\n", | |
| " '2017-03-07T00:00:05.707500000', '2017-03-07T00:00:05.802500000',\n", | |
| " '2017-03-07T00:00:05.897500000', '2017-03-07T00:00:05.992499999',\n", | |
| " '2017-03-07T00:00:06.087500000', '2017-03-07T00:00:06.182500000',\n", | |
| " '2017-03-07T00:00:06.277500000', '2017-03-07T00:00:06.372500000',\n", | |
| " '2017-03-07T00:00:06.467500000', '2017-03-07T00:00:06.562500000',\n", | |
| " '2017-03-07T00:00:06.657499999', '2017-03-07T00:00:06.752500000',\n", | |
| " '2017-03-07T00:00:06.847500000', '2017-03-07T00:00:06.942500000',\n", | |
| " '2017-03-07T00:00:07.037499999', '2017-03-07T00:00:07.132500000',\n", | |
| " '2017-03-07T00:00:07.227500000', '2017-03-07T00:00:07.322500000',\n", | |
| " '2017-03-07T00:00:07.417500000', '2017-03-07T00:00:07.512499999',\n", | |
| " '2017-03-07T00:00:07.607500000', '2017-03-07T00:00:07.702500000',\n", | |
| " '2017-03-07T00:00:07.797499999', '2017-03-07T00:00:07.892500000',\n", | |
| " '2017-03-07T00:00:07.987500000', '2017-03-07T00:00:08.082500000',\n", | |
| " '2017-03-07T00:00:08.177500000', '2017-03-07T00:00:08.272500000',\n", | |
| " '2017-03-07T00:00:08.367500000', '2017-03-07T00:00:08.462500000',\n", | |
| " '2017-03-07T00:00:08.557500000', '2017-03-07T00:00:08.652500000',\n", | |
| " '2017-03-07T00:00:08.747500000', '2017-03-07T00:00:08.842499999',\n", | |
| " '2017-03-07T00:00:08.937500000', '2017-03-07T00:00:09.032500000',\n", | |
| " '2017-03-07T00:00:09.127499999', '2017-03-07T00:00:09.222500000',\n", | |
| " '2017-03-07T00:00:09.317500000', '2017-03-07T00:00:09.412500000',\n", | |
| " '2017-03-07T00:00:09.507500000', '2017-03-07T00:00:09.602500000',\n", | |
| " '2017-03-07T00:00:09.697500000', '2017-03-07T00:00:09.792500000',\n", | |
| " '2017-03-07T00:00:09.887499999', '2017-03-07T00:00:09.982500000',\n", | |
| " '2017-03-07T00:00:10.077500000', '2017-03-07T00:00:10.172499999',\n", | |
| " '2017-03-07T00:00:10.267500000', '2017-03-07T00:00:10.362500000',\n", | |
| " '2017-03-07T00:00:10.457500000', '2017-03-07T00:00:10.552500000',\n", | |
| " '2017-03-07T00:00:10.647500000', '2017-03-07T00:00:10.742500000',\n", | |
| " '2017-03-07T00:00:10.837500000', '2017-03-07T00:00:10.932500000',\n", | |
| " '2017-03-07T00:00:11.027500000', '2017-03-07T00:00:11.122499999',\n", | |
| " '2017-03-07T00:00:11.217500000', '2017-03-07T00:00:11.312500000',\n", | |
| " '2017-03-07T00:00:11.407499999', '2017-03-07T00:00:11.502500000',\n", | |
| " '2017-03-07T00:00:11.597500000', '2017-03-07T00:00:11.692499999',\n", | |
| " '2017-03-07T00:00:11.787500000', '2017-03-07T00:00:11.882500000',\n", | |
| " '2017-03-07T00:00:11.977500000', '2017-03-07T00:00:12.072500000',\n", | |
| " '2017-03-07T00:00:12.167500000', '2017-03-07T00:00:12.262500000',\n", | |
| " '2017-03-07T00:00:12.357500000', '2017-03-07T00:00:12.452500000',\n", | |
| " '2017-03-07T00:00:12.547500000', '2017-03-07T00:00:12.642500000',\n", | |
| " '2017-03-07T00:00:12.737500000', '2017-03-07T00:00:12.832500000',\n", | |
| " '2017-03-07T00:00:12.927500000', '2017-03-07T00:00:13.022500000',\n", | |
| " '2017-03-07T00:00:13.117500000', '2017-03-07T00:00:13.212499999',\n", | |
| " '2017-03-07T00:00:13.307500000', '2017-03-07T00:00:13.402500000',\n", | |
| " '2017-03-07T00:00:13.497499999', '2017-03-07T00:00:13.592500000',\n", | |
| " '2017-03-07T00:00:13.687500000', '2017-03-07T00:00:13.782499999',\n", | |
| " '2017-03-07T00:00:13.877500000', '2017-03-07T00:00:13.972500000',\n", | |
| " '2017-03-07T00:00:14.067499999', '2017-03-07T00:00:14.162500000',\n", | |
| " '2017-03-07T00:00:14.257500000', '2017-03-07T00:00:14.352500000',\n", | |
| " '2017-03-07T00:00:14.447500000', '2017-03-07T00:00:14.542500000',\n", | |
| " '2017-03-07T00:00:14.637500000', '2017-03-07T00:00:14.732500000',\n", | |
| " '2017-03-07T00:00:14.827500000', '2017-03-07T00:00:14.922500000',\n", | |
| " '2017-03-07T00:00:15.017500000', '2017-03-07T00:00:15.112500000',\n", | |
| " '2017-03-07T00:00:15.207500000', '2017-03-07T00:00:15.302500000',\n", | |
| " '2017-03-07T00:00:15.397500000', '2017-03-07T00:00:15.492500000',\n", | |
| " '2017-03-07T00:00:15.587499999', '2017-03-07T00:00:15.682500000',\n", | |
| " '2017-03-07T00:00:15.777500000', '2017-03-07T00:00:15.872499999',\n", | |
| " '2017-03-07T00:00:15.967500000', '2017-03-07T00:00:16.062500000',\n", | |
| " '2017-03-07T00:00:16.157499999', '2017-03-07T00:00:16.252500000',\n", | |
| " '2017-03-07T00:00:16.347500000', '2017-03-07T00:00:16.442499999',\n", | |
| " '2017-03-07T00:00:16.537500000', '2017-03-07T00:00:16.632500000',\n", | |
| " '2017-03-07T00:00:16.727500000', '2017-03-07T00:00:16.822500000',\n", | |
| " '2017-03-07T00:00:16.917500000', '2017-03-07T00:00:17.012500000',\n", | |
| " '2017-03-07T00:00:17.107500000', '2017-03-07T00:00:17.202500000',\n", | |
| " '2017-03-07T00:00:17.297500000', '2017-03-07T00:00:17.392500000',\n", | |
| " '2017-03-07T00:00:17.487500000', '2017-03-07T00:00:17.582500000',\n", | |
| " '2017-03-07T00:00:17.677500000', '2017-03-07T00:00:17.772500000',\n", | |
| " '2017-03-07T00:00:17.867500000', '2017-03-07T00:00:17.962499999',\n", | |
| " '2017-03-07T00:00:18.057500000', '2017-03-07T00:00:18.152500000',\n", | |
| " '2017-03-07T00:00:18.247499999', '2017-03-07T00:00:18.342500000',\n", | |
| " '2017-03-07T00:00:18.437500000', '2017-03-07T00:00:18.532499999',\n", | |
| " '2017-03-07T00:00:18.627500000', '2017-03-07T00:00:18.722500000',\n", | |
| " '2017-03-07T00:00:18.817499999', '2017-03-07T00:00:18.912500000',\n", | |
| " '2017-03-07T00:00:19.007500000', '2017-03-07T00:00:19.102500000',\n", | |
| " '2017-03-07T00:00:19.197499999', '2017-03-07T00:00:19.292500000',\n", | |
| " '2017-03-07T00:00:19.387500000', '2017-03-07T00:00:19.482500000',\n", | |
| " '2017-03-07T00:00:19.577500000', '2017-03-07T00:00:19.672500000',\n", | |
| " '2017-03-07T00:00:19.767499999', '2017-03-07T00:00:19.862500000',\n", | |
| " '2017-03-07T00:00:19.957500000', '2017-03-07T00:00:20.052500000',\n", | |
| " '2017-03-07T00:00:20.147500000', '2017-03-07T00:00:20.242500000',\n", | |
| " '2017-03-07T00:00:20.337500000', '2017-03-07T00:00:20.432500000',\n", | |
| " '2017-03-07T00:00:20.527500000', '2017-03-07T00:00:20.622500000',\n", | |
| " '2017-03-07T00:00:20.717500000'], dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-771745dd-abdc-46fc-87c9-637364aac874' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-771745dd-abdc-46fc-87c9-637364aac874' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61c2f7c8-c0bc-4acd-b4e5-ffce2709982c' class='xr-var-data-in' type='checkbox'><label for='data-61c2f7c8-c0bc-4acd-b4e5-ffce2709982c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array(102.56416)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d1aa7065-b833-4e0f-907a-c0044964ebde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1aa7065-b833-4e0f-907a-c0044964ebde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39cfaa99-aff2-43be-bb1d-036dc9316f37' class='xr-var-data-in' type='checkbox'><label for='data-39cfaa99-aff2-43be-bb1d-036dc9316f37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array(15.18194)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>altitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c84db0ef-f7a5-48a1-b93e-3eb6671a5e11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c84db0ef-f7a5-48a1-b93e-3eb6671a5e11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74f8711b-74d3-4046-b8f0-7f55dde5349f' class='xr-var-data-in' type='checkbox'><label for='data-74f8711b-74d3-4046-b8f0-7f55dde5349f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>standard_name :</span></dt><dd>altitude</dd></dl></div><div class='xr-var-data'><pre>array(256.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_mode</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'><U20</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b439a23d-7c3c-44a4-a5a3-4ae52bf7d152' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b439a23d-7c3c-44a4-a5a3-4ae52bf7d152' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-180efaac-3de1-4c1f-9f7e-1fd73f4ffa95' class='xr-var-data-in' type='checkbox'><label for='data-180efaac-3de1-4c1f-9f7e-1fd73f4ffa95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array('azimuth_surveillance', dtype='<U20')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-08ae024b-1df9-4691-9c9d-859fa9e301d2' class='xr-section-summary-in' type='checkbox' checked><label for='section-08ae024b-1df9-4691-9c9d-859fa9e301d2' class='xr-section-summary' >Data variables: <span>(1)</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>DBTH</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c30cca94-8a11-421c-bc7c-b218fca695b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c30cca94-8a11-421c-bc7c-b218fca695b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a4d1e7e-2948-408d-948b-baf0267678b6' class='xr-var-data-in' type='checkbox'><label for='data-5a4d1e7e-2948-408d-948b-baf0267678b6' title='Show/Hide data repr'><svg 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>dBZ</dd><dt><span>standard_name :</span></dt><dd>radar_equivalent_reflectivity_factor_h</dd><dt><span>long_name :</span></dt><dd>Total power H (uncorrected reflectivity)</dd></dl></div><div class='xr-var-data'><pre>array([[58. , 86.5, 80.5, ..., nan, nan, nan],\n", | |
| " [59. , 84. , 64. , ..., nan, nan, nan],\n", | |
| " [55. , 57.5, 80.5, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [58.5, 84. , 83.5, ..., nan, nan, nan],\n", | |
| " [59. , 86.5, 80. , ..., nan, nan, nan],\n", | |
| " [58. , 88. , 83. , ..., nan, nan, nan]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f1ddd768-e334-490f-b413-83f551b22d7e' class='xr-section-summary-in' type='checkbox' checked><label for='section-f1ddd768-e334-490f-b413-83f551b22d7e' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>fixed_angle :</span></dt><dd>0.5</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset>\n", | |
| "Dimensions: (azimuth: 187, range: 480)\n", | |
| "Coordinates:\n", | |
| " * azimuth (azimuth) float64 225.1 227.0 229.0 230.9 ... 220.5 222.4 224.4\n", | |
| " elevation (azimuth) float64 ...\n", | |
| " * range (range) float32 250.0 750.0 1.25e+03 ... 2.392e+05 2.398e+05\n", | |
| " time datetime64[ns] 2017-03-07T00:00:03\n", | |
| " rtime (azimuth) datetime64[ns] ...\n", | |
| " longitude float64 ...\n", | |
| " latitude float64 ...\n", | |
| " altitude float64 ...\n", | |
| " sweep_mode <U20 ...\n", | |
| "Data variables:\n", | |
| " DBTH (azimuth, range) float32 ...\n", | |
| "Attributes:\n", | |
| " fixed_angle: 0.5" | |
| ] | |
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| "}\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'><xarray.Dataset>\n", | |
| "Dimensions: (azimuth: 187, range: 480)\n", | |
| "Coordinates:\n", | |
| " * azimuth (azimuth) float64 0.3214 2.258 4.189 6.122 ... 354.5 356.5 358.4\n", | |
| " elevation (azimuth) float64 0.5 0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5 0.5\n", | |
| " * range (range) float32 250.0 750.0 1.25e+03 ... 2.392e+05 2.398e+05\n", | |
| " time datetime64[ns] 2017-03-07T00:00:03\n", | |
| " rtime (azimuth) datetime64[ns] 2017-03-07T00:00:09.697500 ... 2017-...\n", | |
| " longitude float64 102.6\n", | |
| " latitude float64 15.18\n", | |
| " altitude float64 256.0\n", | |
| " sweep_mode <U20 'azimuth_surveillance'\n", | |
| "Data variables:\n", | |
| " DBTH (azimuth, range) float32 58.5 52.5 57.0 49.5 ... nan nan nan nan\n", | |
| "Attributes:\n", | |
| " fixed_angle: 0.5</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b99abd22-59a8-4036-9a50-f9bcd5b99645' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b99abd22-59a8-4036-9a50-f9bcd5b99645' 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'>azimuth</span>: 187</li><li><span class='xr-has-index'>range</span>: 480</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-13a6802b-1453-493b-93a7-2da8ecd84592' class='xr-section-summary-in' type='checkbox' checked><label for='section-13a6802b-1453-493b-93a7-2da8ecd84592' class='xr-section-summary' >Coordinates: <span>(9)</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'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3214 2.258 4.189 ... 356.5 358.4</div><input id='attrs-4c1cbbc3-b512-4a1f-8b78-574f143a3057' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c1cbbc3-b512-4a1f-8b78-574f143a3057' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f11c720f-de96-4a38-94b0-7ea612dca3ab' class='xr-var-data-in' type='checkbox'><label for='data-f11c720f-de96-4a38-94b0-7ea612dca3ab' title='Show/Hide data repr'><svg 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>ray_azimuth_angle</dd><dt><span>long_name :</span></dt><dd>azimuth_angle_from_true_north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_azimuth_coordinate</dd><dt><span>a1gate :</span></dt><dd>116</dd><dt><span>angle_res :</span></dt><dd>1.9</dd></dl></div><div class='xr-var-data'><pre>array([3.213501e-01, 2.257690e+00, 4.188538e+00, 6.122131e+00, 8.050232e+00,\n", | |
| " 9.978333e+00, 1.191467e+01, 1.384552e+01, 1.577637e+01, 1.771271e+01,\n", | |
| " 1.963806e+01, 2.157166e+01, 2.349701e+01, 2.543610e+01, 2.735596e+01,\n", | |
| " 2.929230e+01, 3.122314e+01, 3.315674e+01, 3.509308e+01, 3.702118e+01,\n", | |
| " 3.894928e+01, 4.088287e+01, 4.281097e+01, 4.475006e+01, 4.668091e+01,\n", | |
| " 4.860901e+01, 5.054260e+01, 5.246796e+01, 5.440430e+01, 5.633240e+01,\n", | |
| " 5.827148e+01, 6.019409e+01, 6.212769e+01, 6.405853e+01, 6.599762e+01,\n", | |
| " 6.793396e+01, 6.986206e+01, 7.178741e+01, 7.372375e+01, 7.565460e+01,\n", | |
| " 7.758545e+01, 7.952179e+01, 8.144714e+01, 8.338348e+01, 8.531158e+01,\n", | |
| " 8.724792e+01, 8.917603e+01, 9.111237e+01, 9.303223e+01, 9.496582e+01,\n", | |
| " 9.689392e+01, 9.883026e+01, 1.007693e+02, 1.026974e+02, 1.046255e+02,\n", | |
| " 1.065509e+02, 1.084900e+02, 1.104181e+02, 1.123544e+02, 1.142798e+02,\n", | |
| " 1.162161e+02, 1.181442e+02, 1.200806e+02, 1.220087e+02, 1.239368e+02,\n", | |
| " 1.258621e+02, 1.277957e+02, 1.297293e+02, 1.316629e+02, 1.335938e+02,\n", | |
| " 1.355273e+02, 1.374554e+02, 1.393863e+02, 1.413199e+02, 1.432507e+02,\n", | |
| " 1.451871e+02, 1.471152e+02, 1.490515e+02, 1.509824e+02, 1.529105e+02,\n", | |
| " 1.548468e+02, 1.567749e+02, 1.587003e+02, 1.606393e+02, 1.625674e+02,\n", | |
| " 1.645065e+02, 1.664346e+02, 1.683737e+02, 1.703018e+02, 1.722272e+02,\n", | |
| " 1.741635e+02, 1.760916e+02, 1.780225e+02, 1.799533e+02, 1.818814e+02,\n", | |
| " 1.838177e+02, 1.857486e+02, 1.876822e+02, 1.896075e+02, 1.915384e+02,\n", | |
| " 1.934747e+02, 1.954001e+02, 1.973364e+02, 1.992645e+02, 2.012009e+02,\n", | |
| " 2.031180e+02, 2.050571e+02, 2.069852e+02, 2.089188e+02, 2.108551e+02,\n", | |
| " 2.127859e+02, 2.147113e+02, 2.166449e+02, 2.185757e+02, 2.205121e+02,\n", | |
| " 2.224402e+02, 2.243710e+02, 2.251236e+02, 2.270490e+02, 2.289880e+02,\n", | |
| " 2.309161e+02, 2.328442e+02, 2.347806e+02, 2.367114e+02, 2.386505e+02,\n", | |
| " 2.405759e+02, 2.425095e+02, 2.444293e+02, 2.463739e+02, 2.482993e+02,\n", | |
| " 2.502356e+02, 2.521719e+02, 2.541000e+02, 2.560281e+02, 2.579645e+02,\n", | |
| " 2.598926e+02, 2.618234e+02, 2.637598e+02, 2.656879e+02, 2.676242e+02,\n", | |
| " 2.695496e+02, 2.714859e+02, 2.734140e+02, 2.753476e+02, 2.772702e+02,\n", | |
| " 2.792038e+02, 2.811319e+02, 2.830682e+02, 2.850046e+02, 2.869327e+02,\n", | |
| " 2.888608e+02, 2.907861e+02, 2.927252e+02, 2.946533e+02, 2.965897e+02,\n", | |
| " 2.985150e+02, 3.004514e+02, 3.023767e+02, 3.043158e+02, 3.062411e+02,\n", | |
| " 3.081720e+02, 3.100946e+02, 3.120309e+02, 3.139618e+02, 3.159009e+02,\n", | |
| " 3.178372e+02, 3.197653e+02, 3.216907e+02, 3.236215e+02, 3.255579e+02,\n", | |
| " 3.274860e+02, 3.294250e+02, 3.313531e+02, 3.332895e+02, 3.352148e+02,\n", | |
| " 3.371457e+02, 3.390820e+02, 3.410101e+02, 3.429382e+02, 3.448773e+02,\n", | |
| " 3.468027e+02, 3.487418e+02, 3.506699e+02, 3.526089e+02, 3.545316e+02,\n", | |
| " 3.564597e+02, 3.583960e+02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5</div><input id='attrs-0a8119ea-3ece-49e1-9f52-3237e512d803' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a8119ea-3ece-49e1-9f52-3237e512d803' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c600e46d-7507-4a0e-8d76-4892d73f7588' class='xr-var-data-in' type='checkbox'><label for='data-c600e46d-7507-4a0e-8d76-4892d73f7588' title='Show/Hide data repr'><svg 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>ray_elevation_angle</dd><dt><span>long_name :</span></dt><dd>elevation_angle_from_horizontal_plane</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_elevation_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>250.0 750.0 ... 2.392e+05 2.398e+05</div><input id='attrs-70b657b7-aa3b-46d5-b0df-1d5116aaa869' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70b657b7-aa3b-46d5-b0df-1d5116aaa869' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1350549-1730-437a-b521-0048ddf9d03d' class='xr-var-data-in' type='checkbox'><label for='data-c1350549-1730-437a-b521-0048ddf9d03d' title='Show/Hide data repr'><svg 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>meters</dd><dt><span>standard_name :</span></dt><dd>projection_range_coordinate</dd><dt><span>long_name :</span></dt><dd>range_to_measurement_volume</dd><dt><span>spacing_is_constant :</span></dt><dd>true</dd><dt><span>axis :</span></dt><dd>radial_range_coordinate</dd><dt><span>meters_to_center_of_first_gate :</span></dt><dd>250.0</dd><dt><span>meters_between_gates :</span></dt><dd>500.0</dd></dl></div><div class='xr-var-data'><pre>array([ 250., 750., 1250., ..., 238750., 239250., 239750.],\n", | |
| " dtype=float32)</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'>2017-03-07T00:00:03</div><input id='attrs-3f0c1d51-620d-4ddd-bec4-623e05ce9848' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f0c1d51-620d-4ddd-bec4-623e05ce9848' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c88597ea-01f8-4e16-8e1d-5923cc2c8dce' class='xr-var-data-in' type='checkbox'><label for='data-c88597ea-01f8-4e16-8e1d-5923cc2c8dce' title='Show/Hide data repr'><svg 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></dl></div><div class='xr-var-data'><pre>array('2017-03-07T00:00:03.000000000', dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rtime</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-03-07T00:00:09.697500 ... 2...</div><input id='attrs-791d37ab-7cae-40cf-846e-3e3653dcfb87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-791d37ab-7cae-40cf-846e-3e3653dcfb87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a36e71b-66c9-40de-9e73-f00f9550a8d5' class='xr-var-data-in' type='checkbox'><label for='data-6a36e71b-66c9-40de-9e73-f00f9550a8d5' title='Show/Hide data repr'><svg 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></dl></div><div class='xr-var-data'><pre>array(['2017-03-07T00:00:09.697500000', '2017-03-07T00:00:09.792500000',\n", | |
| " '2017-03-07T00:00:09.887499999', '2017-03-07T00:00:09.982500000',\n", | |
| " '2017-03-07T00:00:10.077500000', '2017-03-07T00:00:10.172499999',\n", | |
| " '2017-03-07T00:00:10.267500000', '2017-03-07T00:00:10.362500000',\n", | |
| " '2017-03-07T00:00:10.457500000', '2017-03-07T00:00:10.552500000',\n", | |
| " '2017-03-07T00:00:10.647500000', '2017-03-07T00:00:10.742500000',\n", | |
| " '2017-03-07T00:00:10.837500000', '2017-03-07T00:00:10.932500000',\n", | |
| " '2017-03-07T00:00:11.027500000', '2017-03-07T00:00:11.122499999',\n", | |
| " '2017-03-07T00:00:11.217500000', '2017-03-07T00:00:11.312500000',\n", | |
| " '2017-03-07T00:00:11.407499999', '2017-03-07T00:00:11.502500000',\n", | |
| " '2017-03-07T00:00:11.597500000', '2017-03-07T00:00:11.692499999',\n", | |
| " '2017-03-07T00:00:11.787500000', '2017-03-07T00:00:11.882500000',\n", | |
| " '2017-03-07T00:00:11.977500000', '2017-03-07T00:00:12.072500000',\n", | |
| " '2017-03-07T00:00:12.167500000', '2017-03-07T00:00:12.262500000',\n", | |
| " '2017-03-07T00:00:12.357500000', '2017-03-07T00:00:12.452500000',\n", | |
| " '2017-03-07T00:00:12.547500000', '2017-03-07T00:00:12.642500000',\n", | |
| " '2017-03-07T00:00:12.737500000', '2017-03-07T00:00:12.832500000',\n", | |
| " '2017-03-07T00:00:12.927500000', '2017-03-07T00:00:13.022500000',\n", | |
| " '2017-03-07T00:00:13.117500000', '2017-03-07T00:00:13.212499999',\n", | |
| " '2017-03-07T00:00:13.307500000', '2017-03-07T00:00:13.402500000',\n", | |
| " '2017-03-07T00:00:13.497499999', '2017-03-07T00:00:13.592500000',\n", | |
| " '2017-03-07T00:00:13.687500000', '2017-03-07T00:00:13.782499999',\n", | |
| " '2017-03-07T00:00:13.877500000', '2017-03-07T00:00:13.972500000',\n", | |
| " '2017-03-07T00:00:14.067499999', '2017-03-07T00:00:14.162500000',\n", | |
| " '2017-03-07T00:00:14.257500000', '2017-03-07T00:00:14.352500000',\n", | |
| " '2017-03-07T00:00:14.447500000', '2017-03-07T00:00:14.542500000',\n", | |
| " '2017-03-07T00:00:14.637500000', '2017-03-07T00:00:14.732500000',\n", | |
| " '2017-03-07T00:00:14.827500000', '2017-03-07T00:00:14.922500000',\n", | |
| " '2017-03-07T00:00:15.017500000', '2017-03-07T00:00:15.112500000',\n", | |
| " '2017-03-07T00:00:15.207500000', '2017-03-07T00:00:15.302500000',\n", | |
| " '2017-03-07T00:00:15.397500000', '2017-03-07T00:00:15.492500000',\n", | |
| " '2017-03-07T00:00:15.587499999', '2017-03-07T00:00:15.682500000',\n", | |
| " '2017-03-07T00:00:15.777500000', '2017-03-07T00:00:15.872499999',\n", | |
| " '2017-03-07T00:00:15.967500000', '2017-03-07T00:00:16.062500000',\n", | |
| " '2017-03-07T00:00:16.157499999', '2017-03-07T00:00:16.252500000',\n", | |
| " '2017-03-07T00:00:16.347500000', '2017-03-07T00:00:16.442499999',\n", | |
| " '2017-03-07T00:00:16.537500000', '2017-03-07T00:00:16.632500000',\n", | |
| " '2017-03-07T00:00:16.727500000', '2017-03-07T00:00:16.822500000',\n", | |
| " '2017-03-07T00:00:16.917500000', '2017-03-07T00:00:17.012500000',\n", | |
| " '2017-03-07T00:00:17.107500000', '2017-03-07T00:00:17.202500000',\n", | |
| " '2017-03-07T00:00:17.297500000', '2017-03-07T00:00:17.392500000',\n", | |
| " '2017-03-07T00:00:17.487500000', '2017-03-07T00:00:17.582500000',\n", | |
| " '2017-03-07T00:00:17.677500000', '2017-03-07T00:00:17.772500000',\n", | |
| " '2017-03-07T00:00:17.867500000', '2017-03-07T00:00:17.962499999',\n", | |
| " '2017-03-07T00:00:18.057500000', '2017-03-07T00:00:18.152500000',\n", | |
| " '2017-03-07T00:00:18.247499999', '2017-03-07T00:00:18.342500000',\n", | |
| " '2017-03-07T00:00:18.437500000', '2017-03-07T00:00:18.532499999',\n", | |
| " '2017-03-07T00:00:18.627500000', '2017-03-07T00:00:18.722500000',\n", | |
| " '2017-03-07T00:00:18.817499999', '2017-03-07T00:00:18.912500000',\n", | |
| " '2017-03-07T00:00:19.007500000', '2017-03-07T00:00:19.102500000',\n", | |
| " '2017-03-07T00:00:19.197499999', '2017-03-07T00:00:19.292500000',\n", | |
| " '2017-03-07T00:00:19.387500000', '2017-03-07T00:00:19.482500000',\n", | |
| " '2017-03-07T00:00:19.577500000', '2017-03-07T00:00:19.672500000',\n", | |
| " '2017-03-07T00:00:19.767499999', '2017-03-07T00:00:19.862500000',\n", | |
| " '2017-03-07T00:00:19.957500000', '2017-03-07T00:00:20.052500000',\n", | |
| " '2017-03-07T00:00:20.147500000', '2017-03-07T00:00:20.242500000',\n", | |
| " '2017-03-07T00:00:20.337500000', '2017-03-07T00:00:20.432500000',\n", | |
| " '2017-03-07T00:00:20.527500000', '2017-03-07T00:00:20.622500000',\n", | |
| " '2017-03-07T00:00:20.717500000', '2017-03-07T00:00:03.047500000',\n", | |
| " '2017-03-07T00:00:03.142500000', '2017-03-07T00:00:03.237500000',\n", | |
| " '2017-03-07T00:00:03.332500000', '2017-03-07T00:00:03.427500000',\n", | |
| " '2017-03-07T00:00:03.522499999', '2017-03-07T00:00:03.617499999',\n", | |
| " '2017-03-07T00:00:03.712500000', '2017-03-07T00:00:03.807500000',\n", | |
| " '2017-03-07T00:00:03.902500000', '2017-03-07T00:00:03.997500000',\n", | |
| " '2017-03-07T00:00:04.092499999', '2017-03-07T00:00:04.187500000',\n", | |
| " '2017-03-07T00:00:04.282500000', '2017-03-07T00:00:04.377500000',\n", | |
| " '2017-03-07T00:00:04.472500000', '2017-03-07T00:00:04.567500000',\n", | |
| " '2017-03-07T00:00:04.662500000', '2017-03-07T00:00:04.757499999',\n", | |
| " '2017-03-07T00:00:04.852500000', '2017-03-07T00:00:04.947500000',\n", | |
| " '2017-03-07T00:00:05.042500000', '2017-03-07T00:00:05.137500000',\n", | |
| " '2017-03-07T00:00:05.232500000', '2017-03-07T00:00:05.327499999',\n", | |
| " '2017-03-07T00:00:05.422500000', '2017-03-07T00:00:05.517500000',\n", | |
| " '2017-03-07T00:00:05.612500000', '2017-03-07T00:00:05.707500000',\n", | |
| " '2017-03-07T00:00:05.802500000', '2017-03-07T00:00:05.897500000',\n", | |
| " '2017-03-07T00:00:05.992499999', '2017-03-07T00:00:06.087500000',\n", | |
| " '2017-03-07T00:00:06.182500000', '2017-03-07T00:00:06.277500000',\n", | |
| " '2017-03-07T00:00:06.372500000', '2017-03-07T00:00:06.467500000',\n", | |
| " '2017-03-07T00:00:06.562500000', '2017-03-07T00:00:06.657499999',\n", | |
| " '2017-03-07T00:00:06.752500000', '2017-03-07T00:00:06.847500000',\n", | |
| " '2017-03-07T00:00:06.942500000', '2017-03-07T00:00:07.037499999',\n", | |
| " '2017-03-07T00:00:07.132500000', '2017-03-07T00:00:07.227500000',\n", | |
| " '2017-03-07T00:00:07.322500000', '2017-03-07T00:00:07.417500000',\n", | |
| " '2017-03-07T00:00:07.512499999', '2017-03-07T00:00:07.607500000',\n", | |
| " '2017-03-07T00:00:07.702500000', '2017-03-07T00:00:07.797499999',\n", | |
| " '2017-03-07T00:00:07.892500000', '2017-03-07T00:00:07.987500000',\n", | |
| " '2017-03-07T00:00:08.082500000', '2017-03-07T00:00:08.177500000',\n", | |
| " '2017-03-07T00:00:08.272500000', '2017-03-07T00:00:08.367500000',\n", | |
| " '2017-03-07T00:00:08.462500000', '2017-03-07T00:00:08.557500000',\n", | |
| " '2017-03-07T00:00:08.652500000', '2017-03-07T00:00:08.747500000',\n", | |
| " '2017-03-07T00:00:08.842499999', '2017-03-07T00:00:08.937500000',\n", | |
| " '2017-03-07T00:00:09.032500000', '2017-03-07T00:00:09.127499999',\n", | |
| " '2017-03-07T00:00:09.222500000', '2017-03-07T00:00:09.317500000',\n", | |
| " '2017-03-07T00:00:09.412500000', '2017-03-07T00:00:09.507500000',\n", | |
| " '2017-03-07T00:00:09.602500000'], dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>102.6</div><input id='attrs-d390b9d0-1369-4ea6-8978-7f4d728b57d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d390b9d0-1369-4ea6-8978-7f4d728b57d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bed01e4-615d-4cdb-9370-d6f7ee69e4d3' class='xr-var-data-in' type='checkbox'><label for='data-2bed01e4-615d-4cdb-9370-d6f7ee69e4d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array(102.56416)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.18</div><input id='attrs-988b0135-58a5-4c07-a6f5-bc6b1a231114' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-988b0135-58a5-4c07-a6f5-bc6b1a231114' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61c95be3-fd02-4ca6-bc6f-27caeb103dcf' class='xr-var-data-in' type='checkbox'><label for='data-61c95be3-fd02-4ca6-bc6f-27caeb103dcf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array(15.18194)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>altitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>256.0</div><input id='attrs-a575a13b-b8c5-49e9-bc2c-6a85b676c5ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a575a13b-b8c5-49e9-bc2c-6a85b676c5ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3125e604-4f6f-4d69-b120-0e7969869467' class='xr-var-data-in' type='checkbox'><label for='data-3125e604-4f6f-4d69-b120-0e7969869467' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>standard_name :</span></dt><dd>altitude</dd></dl></div><div class='xr-var-data'><pre>array(256.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_mode</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'><U20</div><div class='xr-var-preview xr-preview'>'azimuth_surveillance'</div><input id='attrs-133f43ec-b8a7-4c62-98ce-d340405d1eb2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-133f43ec-b8a7-4c62-98ce-d340405d1eb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b063b207-88b6-4220-8a5a-f86d6cbe44b7' class='xr-var-data-in' type='checkbox'><label for='data-b063b207-88b6-4220-8a5a-f86d6cbe44b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array('azimuth_surveillance', dtype='<U20')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c4c01460-0a33-453a-8cf2-45f29d46b60d' class='xr-section-summary-in' type='checkbox' checked><label for='section-c4c01460-0a33-453a-8cf2-45f29d46b60d' class='xr-section-summary' >Data variables: <span>(1)</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>DBTH</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>58.5 52.5 57.0 49.5 ... nan nan nan</div><input id='attrs-558f18e6-e4c8-4318-b70f-63c1e1deadc9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-558f18e6-e4c8-4318-b70f-63c1e1deadc9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60106c1d-540a-4679-8895-9b0c22f7367e' class='xr-var-data-in' type='checkbox'><label for='data-60106c1d-540a-4679-8895-9b0c22f7367e' title='Show/Hide data repr'><svg 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>dBZ</dd><dt><span>standard_name :</span></dt><dd>radar_equivalent_reflectivity_factor_h</dd><dt><span>long_name :</span></dt><dd>Total power H (uncorrected reflectivity)</dd></dl></div><div class='xr-var-data'><pre>array([[58.5, 52.5, 57. , ..., nan, nan, nan],\n", | |
| " [58. , 53.5, 53. , ..., nan, nan, nan],\n", | |
| " [58.5, 52.5, 51. , ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [58. , 52. , 51.5, ..., nan, nan, nan],\n", | |
| " [58. , 54. , 54. , ..., nan, nan, nan],\n", | |
| " [57.5, 53. , 63. , ..., nan, nan, nan]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-529a080a-4e50-4aea-ac4a-140689feb401' class='xr-section-summary-in' type='checkbox' checked><label for='section-529a080a-4e50-4aea-ac4a-140689feb401' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>fixed_angle :</span></dt><dd>0.5</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset>\n", | |
| "Dimensions: (azimuth: 187, range: 480)\n", | |
| "Coordinates:\n", | |
| " * azimuth (azimuth) float64 0.3214 2.258 4.189 6.122 ... 354.5 356.5 358.4\n", | |
| " elevation (azimuth) float64 0.5 0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5 0.5\n", | |
| " * range (range) float32 250.0 750.0 1.25e+03 ... 2.392e+05 2.398e+05\n", | |
| " time datetime64[ns] 2017-03-07T00:00:03\n", | |
| " rtime (azimuth) datetime64[ns] 2017-03-07T00:00:09.697500 ... 2017-...\n", | |
| " longitude float64 102.6\n", | |
| " latitude float64 15.18\n", | |
| " altitude float64 256.0\n", | |
| " sweep_mode <U20 'azimuth_surveillance'\n", | |
| "Data variables:\n", | |
| " DBTH (azimuth, range) float32 58.5 52.5 57.0 49.5 ... nan nan nan nan\n", | |
| "Attributes:\n", | |
| " fixed_angle: 0.5" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "display(vol[0].sortby(\"azimuth\"))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Georeference" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 24, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "swp0 = vol[0].pipe(wrl.georef.georeference_dataset)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Simple Plot" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 25, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.collections.QuadMesh at 0x7f4bbfb4b520>" | |
| ] | |
| }, | |
| "execution_count": 25, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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dYppOM/35rjNxouo/qeqxqnrsnDnPu3N2SkpKym6xm2Nafa2b6+Tx/hnsYncdhFnBXlUPioiLMVjfVtX/SiZvFZEFqro5Cf1tS6ZvAJaMW30xsCmZvniK6ePX2SAiDtCJudvYAJw+aZ0799BppaSkpOwBhGgG41UJ/ap67B7b8Y7MGvH93lQPCvDPwOOqev24WT8CWmq+9wI/HDf9HYkicDlGcPHr5A6hLCInJNt8z6R1Wtt6K3B7Mu51M3CuiHQng4/nJtNSUlJSZgWmc7E1o8fzZGviGDBDB2FWsDc9rZOBdwMPi8hvkmkfB64EvisifwSsA94GoKqPish3gccwysO/UNUoWe/PMAONOeCm5AHGKH5LRJ7BeFjvSLY1KCKXAfcly31eVSfHe1NSUlL2GqqCry+q/qF1U38lOzoI3xGR64GFJA7Ci3kgu8NeM1qqeg9Tu6EAZ+1kncuBy6eYvgo4bIrpDRKjN8W8rwFfm+nxpqSkpLzUxHsoB0tE/g0zJNInIhswKT/Px0HY66QVMVJSUlJmIUaIsWdGcFT1nTuZtVsOwmwgNVopKSkps5LdEmK8YkiNVkpKSsospCXESJlIarRSUlJSZinRDBKHX2mkRislJSVlFqIIgaaX6Mmkn0hKSkrKLGRPCjFeTqRGKyUlJWUWokgaHpyC1GilpKSkzFJSIcaOpEYrJSUlZRaiSip5n4LUaKWkpKTMQowQY9a0sZo1pEYrJSUlZZaSCjF2JDVaKSkpKbMQZWYNHl9ppEYrJSUlZZaSelo7khqtlJSUlFmIAnEqxNiB1GilpKSkzEqEaA+1Jnk5kRqtlJSUlFmIQqoenILUaKWkpKTMQlQlDQ9OQWq0UlJSUmYpaXLxjqRGKyUlJWUWYvpppWNak0mNVkpKSsqsJO1cPBWp0UpJSUmZhRjJ++z1tETkRsxhTomqvuHF2G9qtFJSUlJmIftA7cFrk+c3A/OBf03evxN47sXaaWq0UlJSUmYps7k1iareBSAil6nqynGzbhSRu1+s/aZGK2W3OO4Prwfgvq9dvJePZOec9vprppzeGh64+4eXvIRHk5Ly/DCtSWZveHAcc0Rkf1VdDSAiy4E5L9bOZq8ZT5l1tAxW5AonvvO6vXw0O+euGy/BasZYzZi7bryk/ZAYJN65UUtJmW3EKjN67GUuAu4UkTtF5E7gDuCDL9bOUk8rZUYc/57rsQArUJy68ot/+9DePqQpOeO8qwCIM+Z+7LTXX4PVjM1MR7jrxx/Zre2d9PYx43zvd2fnOae8PDFV3me/X6GqPxGRFcCrkklPqGrzxdpfarRSdsnx7zEelleO+dkPPryXj2Z61NrxrvOOWz7aft3yFmFmIc57v/shVr7BeGaHfeQGAOrzxgRTz35o9oZJU/ZtTBmn2W+0RCQPXAzsp6p/IiIrRORgVf2fF2N/qdFK2SW/+peLOfFd173kBuu01109Y8+oZVjEGTNarajJyjdcw90/MuNYz2csThIbNec3fnvaeEOYkvLisG94WsDXgfuBE5P3G4DvAanRStl7/OI7L35obMJYU2QsxXiDMx12EgIM8zYSm3UtXxndz31ex3LyW69tv64tNX+TB7980fPaVkrK82UfqYhxgKr+noi8E0BV6yLyoh14arRS9hit8Z97v/sh9r/BhOEK64WHr9+9i32Qs2j0WLhVY3yOf/f1/Opb03tIsW3+I1YzpvixDe3pz61eBMCRH7yBh/5m5sfx8+/P7jBoysuffUg96ItIjiTRWEQOANIxrZTZzXjBwmGX3AALd99g3XXjJRzzpze0328/BlZfNL2xantntnDwZx4B4Gc/Oor6gggAp2ySM6sLZ3wY7VDjtteYv8cTn0k9rJS9wz4SHvws8BNgiYh8GzgZ+IMXa2ep0Up5wZzw+9eBC/U+i8iD2pKY1R8w4cSWAdhViG/lhWa5IrDufMFqTP9nPeNcoxK0gI0rPQBGv34Uwyc14OAG+/1766cdEmZ374/fOtYDr7l+F0u+cM4850oAbr/1Yy/6vlL2LYx6cPZ7Wqp6i4jcD5wACPDXqtr/Yu0vNVopL4gTft94WG5N+eWXLuLVn76B1R/4EAdeZTymhRgjcPRfmPfFTVF73fHCjrt/eAknvf06gqLw3J/tWixxxy0f5dCPmW2GBRNGHDkQSh11AIJcJ1veaCIUS79lfuYrL7wGdyQA4LY7P77TbbeOvbRu1xeMlsT+jpufnzCjZaxOv+BqgPZ43AvZZsrLAwXCfcDTEpHbVPUs4H+nmLbHSY1Wygvil9+eKNB4/PMXtS/6i+4KuOvHH2kbrNhhpwrEM8+5kixw73dn7nHM/3Wj/XrzB4yBGh0qQAyjrwtZ8r3EA1tqI0mq1v0zqYZhGcPx4JdnYDxfgGFpeYsAdmgOsNllhCOZ4YCzzrwCgNgxF65UsfjKYzaHB0UkC+SBPhHphrZqpANzv/qikBqtlD3OMx81Y0An33ctJ7/1WvLA1uPs9vQWy75iFHr7/2f4vPZz2+2XcuwfmxDegi/BhjOzZIBmjzEA+hdb8a7qoasSzij8dsjHjXH1kv/eIR+/gce++OKNZ1mJoYoyNpFtI5FihcZgxq65WI3POzvrDGPEbrvj0hftmFJmEbOj2sV0/F9M5YuFGMl762BHgS+/WDtNjVbKi8Z0Crwj//oGeDVgK6vfLYDy3Ht2f1xn1Vcv5ozzriL2LPzlxvNyNmXxDhphsJKnL7frKtlHftAYKxfIXbANgNx1XcDYmJNfMn+VzJAJL6LGuEwXZtwV0jJanca7kkTm79QjwuS43bIx6GHOJszZOPUoNV6vEGZ7E0hV/RLwJRH5K1X9u5dqv6nRSnnJOfKvjZGY/zMh90eb2Tpa4rE3fnZG67Yu2LDjRXvN/7k0ya+K8H6aA8DvtPBGQ84476opQ3lnr7ycOUDj0yMAbBspAeAeY0KLHeuMYclv9qfc5wvhp3d/AhgToViBMVr1PmPE8lv9tsdlB/Ee22/KvsMs97RaxCLSparDAEmo8J2q+g8vxs72qtESka8BvwtsU9XDkmk9wH8AyzA9Wd6uqkPJvEuBPwIi4AOqenMy/TXAN4Ac8GOMekVFJAP8C/AaYAD4PVV9LlnnvcAnk0P5gqp+80U+3ZSE4qaYyNgE7jhzZoV3W+M7CKx+k1l5+d9dx5q/+tAEY5QdNJ5QlLGx6yHZ7RF+t1m+JZpAwakZD0YTo7Bt2BgrnioCkOs3BiQzNCYcATjnlMsBuPWeT8zouHd6PonxbfS64AqIIEGEOoIku4wyxtsKiuY5t3VsDK9l8FJevsz2JpDj+BNVbYcDVXVIRP4EePkZLYyh+XuMYWnxMeA2Vb1SRD6WvP+oiBwCvAM4FBND/amIHKSqEfD/gPcDv8QYrfOBmzAGbkhVDxSRdwBXAb+XGMbPAMdifhv3i8iPWsYx5cXl59/b/eoat91+Kcf8WSuHa+dex223j3lCLUPX7LTIDkZEGQtv2HhMLaPTSoJ2H88CsOTWGjBFDcPkfcvzeaEEHeav55WjCfvzi2b72f4kLFiwyQ6YY46yZp1UkPHKQBHCePYKMcZhiYioaiu52Aa8F2tne9VoqerdIrJs0uQLgdOT198E7gQ+mkz/96R68BoReQZ4rYg8B3So6i8ARORfgDdijNaFmMQ3gO8Df5+UFzkPuFVVB5N1bsUYun/b0+eYsufpfsyidk552mXanhlQWtdEk4oZUc785FueTuEYY6z6HvHH5ieqc2tcSG68MZwJ55z0BQBuvdc48y1Je5gzF6EwMU5WUo0+t91P9mm8qkZvYtQqMWHBwR3x0z5Cr0D25JiWiFwE/DHmF/4wJgE4z04iW7vBzcB3ReQrybb/FJNs/KKwtz2tqZinqpsBVHWziMxNpi/CeFItNiTTguT15OmtddYn2wpFZAToHT99inUmICLvx3hxLF269PmfVcoL4qD/vAzOhvldowBENy6csixTyzi0xA1uxXgsEsRgCRIpW15rDJXfadZZ8MuQKGvhjiYqRm1ZraQ0VCPinJO+QOxZ7TyqOAndteToLRFFyzhKyez/zHOuJMzb4Al2PcatRNTmu8m6EGXACqGyJINEilqC3VRy/SbM2RKA3JWGA1956J4LD4rIIuADwCFJbcDvYiJXhzBFZGs3N/9RjJLwzzAKwluAr+6RA5+C2Wi0dsZU355OM/35rjNxouo/Af8EcOyxx065zMudU958Lff8l1ECnvomI1N/qSq+tzwm/51ZiIV1/TkIBVbEnHXGFax+i4lCLPuRMThWYnDskahtQGLHAmfM4DjJ0NC8+01uVys0ZzVNqC4sJkV2k1+J2hPnqyXtdWLXPHtVY2TUGfOHGr3m2PKbzQ5bY2uFRNQRFM3fr7LQGEA7qdaWHY6JsjaxI4iC3Yg5/YKrufOm3esFlrJv8yKMaTlATkQCjIe1CbiUqSNbM0ZVYxH5BnC7qj65pw52Z8xGo7VVRBYkXtYCYFsyfQOwZNxyizEf+obk9eTp49fZICIO0AkMJtNPn7TOnXv2NF4enPLma3eY9nwM1kzLOY1nv69eA+9y2q1Blq/YDEA98Mhd30XsWWjGhPDW/3HA8r9NxoUS4+ANJSE3KyIoujj1kG2XNIEqXV8tEeZtLD8xcs2IqGD+Dm2RxqR4XEv8cM5JX2gbwEav8dqijHnODvgEiXfkVoyRG11ulIz5rRO9p2ZnMn41FJPf4jOyf4YoIzQ7LEprG9TnZsyx1c3xpFL3Vx67YbT6RGTVuPf/lNxwA6CqG0XkWmAdUAduScov7SyyNWNE5A3ANZhxrOUichTweVV9w+5uaybMRqP1I+C9wJXJ8w/HTf+OiFyPEWKsAH6tqpGIlEXkBOBXwHuAv5u0rV8Ab8XcCaiI3Ax8MZFmApyLueNIGcdpr7/GKNsSTn3Tte3k1+k45k9v4IGvXNQ2eGqBzdQGa3zPrDPOvYo7bvkoh3wyEVwsgwP/NWDN+yEeyrDm8YV0P2Yu9PVXQf53trIAGPzVPNjiEOWaSKR4A01izyJ2jCoPYOAwF3Dp+roxBC2j0+xOlHnbjfGTICZ2BCtUJDnX1rhUC7/Lw0rCgW41SWROPK/Kogy5RETRUv15FbNMo9fBaShuJUJU8cq09xEWHQpbx5SKLUPXscaUpWomXtvdP7yEs07/ollIJDVgL2MUIZq5EKNfVY/d2czkWnchsBwYBr4nIv/nBR+k4TPAa0lu/FX1N1NoFRCRv53BtkZV9ZPTLbC3Je//hvF4+kRkA+bkr8QM6v0R5q7gbQCq+mgSh30MCIG/SJSDYGKp38BI3m9KHgD/DHwrEW0MYmK4qOqgiFwG3Jcs9/mWKCPF0KqePjksuCtaVdrPOO8qKJiLtl+yqPdNvGPc/4brWXKrubgv+/rVLP83c/E+6i9vgC6oHdTEyUSseb+w+D9c3BETOws6XBZ9/GkA7n1kBd52h77HYrIDISrChrONUep+3Gzv/37qv7jsvt/hD468g6/ddRqFzRaZkQgJFW+4iVNJ/gKtcazEyN16z1jS8HnHfQ6A2uICAGGXjd0wywcFc1HJjI4ZnJaxahG5JsxnhRDkhSDvUFxvQoatcGJLNehVYlQgMxIxstyh41lFHcFuGMN32uuvgZKLlfQPa43hpaHDlyd7UIhxNrBGVbcDiMh/ASex88jW7hCq6sgMWmhdCHx6F8t8jLFUpCnZ2+rBd+5k1pSFFlX1cuDyKaavAg6bYnqDxOhNMe9rwNdmfLCvMO66caJXFLnCvd+dKFVvGba7bryEwz9kjFX5yIjl/x2x5q0W0hR6HrJodkGUHVuvJTPfeLpLOCeAms36sy3zOgzJbnKg7kC/x+qLL4Z3wYHf/QKdJeN1HFzcyr/cvhIbWHS3CbmteYtNz5JhisCRczbCOfDm3vsBcDMh//rEcSy9xVzoM/1jrX7sRmgUgyJIGGP5xpCee+JlAAQlD7qziGrbO7OTMbEoK2hin5qdNnHy2i+ZP69TV/Kbk3GzRCrfKie18sJruPuHl3DuCZ+nMTeHW43JDJpwpt9hxtSsEPqPLtD7cA27Hpr6iVUISi5R1sJuxO1SUC+0cG/K7EP3oBAD4wCcICJ5THjwLGAVUGXqyNbu8IiIvAuwRWQFRvBx7xTL3bCrfNhx0a+dMhvDgymzjPG9slq0DFZ5kcPx776e2u80WNA3jHXjAqKsUnoiGdepxYR5i0euuYjXvs8Yq9XfuJgDr76BOBtTeNJFHbB8eOQjH2G/r17DorsabYn5si+bfTtzYKScQ9fn+dZjp7H4LuMtqcDaC41BGNjUycWn3MzdgwexoriN7WEHVz58HvO+nSO3pY7KuL50lhA5E0MvaltEOYvYtdrjWq3nMO8QJvL0zLCZZjeEMPEmVcBKjFarsoVTiwkTFaE3YPZ9zimXYzVDciSVMOblyG0yuWFhwTUKRwVvuElPI6LR46KOhYQxYd5J9hsZw6ljSkYriHdblp8y+9E9ZLRU9Vci8n3gAUyk6kGMwKzIFJGt3eSvgE9gGj9+ByOB/8IUx/A3O9uAiGRUtTndMu1lVXc9RpFiOPbYY3XVqlW7XvBlxFRqwbbBWuyQGY7ZfJri9dXJ3VMktz3G9qHeY9H9dIP+w7M89KUxafrx776e4YPMH3HBvcEuw1rLvnwdK/6tQVhwWPMGc9Fe8W3jcakjPPOuDMv/K6L/cDPmEySFLRbc60/Yjls271vJwaP7mzGjzEgylhUrdt28dirGe4uzNmHWWKIwb9aLMoJTT+TtFlhJVFBlTGWoAk5jYgK0hNoWlIxvPxLbgjcaIKHZUJQzRq42PxGTJONhlp88JwrG2LOT5Y3H5VSNIX2hlTpS9hwicv9040y7onjQAj387987o2V/ed5VL2hfz5ckkfhmVT17BstuBj6uql+fYt4DqnrMTPaZelopu+RnP/gwp7z5WqxIuTtp7VGdZ6OWuXDn51cIHu8kzIKoaavR6DJjS+MNFkBhi09hy1he03Scec6V7J+8dqohB3wval+8Y88YkeX/FYGY5OAoafaY3WqMWn1BHgArVJqZLE45MUaejVtVnEbc3l7roi9h1K48Mb5NiN9pjIRTV9yqMRx+aWzsSm1pi1QkHjNQKmNFb1sGs9HrkN9ijGjY5dKYk8EvWXQ8UzPLCBQ2Nti0Mg9YzHkgaBs3SFSNAlHWQgLFqYZESYHdVBr/8mJPeVovFokQriYinao6sovFG8D7ROR3gD+atPyMTzQ1Wik75dQ3Xds2WC1WXngNVqgEBSHMQXYQuv+1SLNLcWuKW4lRS+hY508IV618wzU49cSbcC2cKCJ2Lc447yosP0Yd85u9/daPjY2VjWuQ2JJ9t5J6W1hBTKPPS+ryOdj1kNizUUvIba4R5Vycim8ED6r43dkxoUSkxLbg1EKjNAScpuJUA4KuDHYS5hs6ONv2yKKMYEVJNYuI9nqxY8agAFBjrMzxKVHirTW7bbIDIdnBkLDoYPkx+Q1Vgq4MbsV4dlYYYzUisIT5v2oSZW1q8x2KGwP8Dhe3EiTnkuwqUXfa9cgci2O95Ll0KS8OqhDFs9toJTSAh5PKQtXWRFX9wKTlhjDCu08AD4rIH6rqna3FZ7qz1GilTEnrwnfGeVeRpNoSZS0iVxKjFOFUI/wOm8FX2/Q9ErUvkpMrqrdytCRSYtcycvFYsZoRsWcTJkm2d914CadfcDXCjmq4KOdgt5J/s7bxOmJFVClsCLnlF59qL3vGeVdhNY3HZDdC1LFQ2xialsTdCsz5ZIYD7EYrL8siSDxEuxpSXuwlyxrjBhC7IInRirJCUEiMRlPb94rZ/ggrjKku8JDYGDO3EuFW4/Z2AJqdDs1OU6DXrcd4A02GDjHe4dAhZpnl/10nj2eqagDNjDm+3OYa7ihttWOUMwY76HRJefkwm1uTjON/Gde1eDqS+oRfEJFbgH8Rkf9mF2rByaRGK2UHTr/gamyM4WhXRgdTHb2pplJDpGY8xVfm3h+0c61gRwWbWw7HnH8FGScgsOshd9zyifZ+3XJAWJj4s7zzpo+0q6urBU6ddhiNWLntzo9zxrlXtUUTiX3C8hPPLm8u5GHWxqkrdiOmvDjpYaVAp0vkCrl+H4mU2nyP8tHGOHij4FYTeXtesAMlzJuTcavaTkCWCCJPyIzEhAUbia12tYzYhTAJOWYHwrZXaY0b5/KLFkQenauboFBaZxEUbRp9mbY3l016eUWuRbMni9Mw52c1Ioi1XRVeYsUdDTnrjCvSPK59GGX2hweTMa13z2RMi3EhQFX9tYgcC/wtpjxf70z3mdbgTJmSoGCx8sJruOPmj7aNkN2MIVLCrJjXCo0ee4LBmky7isPtl5pwoZhE3Nvu/Hg75DeeW+/5xA5G79wTL0OiGLVAYlMRwq4H2LWg3YTRG2pgNcO2EbHrIRIp1cV5o8BLwoDNTgsVKG4M6Hq2gRUq3nBAZjg05Z5iE+LseSKktCE2odC8EOQFt65YgTFQVqCm03BgHmFWsALFL1n4JYtGt43dNOpGrxyT6w+xIsXvMuWZwqxJfvZLFmFWyA6GbSOEGq8t29/EDhS3HpMZNnloUdYGWwiKRiQSZm2CTg/LN+pCCZTM9iZWM0oN1j6P6Vw8k8feIsmVrYlI5wwWf3DSuhVV/UOM3L4+032m6sHd4JWgHjRNFGmP57SEF60QX73XprjJCAOCor1D7taEbb3NyNWfTyuSFi0Pq90MMQnlTQgHnjvmDXpDjXYl97Dgtse4wHh4rQK3sTuWsGv5kQmzqbYl6mZfEfU55n2zZJHfHtHsSsazAlB7rNSTW1HUhjA7dgGxfWPkzPyIOGPhF00NRKeu+B2tbZn3Tj2esG9UUdeiNteltKZOnLVNPUNVsoPGI7UbEWHeRpLvSx3BqUft87zzpo/sUHE+5aXhhaoH8ysW6oob/mhGy/729V/YK+pBgKTowwnArsa09ghpeDBlB37+/akH8K1AyW8NGTjUo+uZsC3rbiXKwsQKDS/EWLVJ5OESxUaEocotv/x0+0Lc7MtA1sJuxngDdaK8S9Dp4Y74xoDlTSKuN+wT5RwkNuNTkSeIWkaMkXFRMZU7WnjlmGang+Ub41LcEtLssPHKSfmmSkR5sYtbSwxfqERJGK8V8rN9CHMmlNrstrF9sCLFrcYEedPjS20hcoUoK8SOjVeOiD0h9hzsRkxQsMkMRTTmZQlzQn5Tk8qSLEHRaRunzIBPWHDarVTsWoDfnUViNeOLibFqFR9O87n2HWZ7eDBhRmNaItIH/AVGkPE1TL3CU4FngYtV9dmZ7Cw1WikTmMpgnfa6q8eC0bbQ93CTMG/jlsN2q/jWcgg7DRe2aua1QnozoTX+I6HiBAFhyePMc67EtoTYs9qtR2LXIuzIUO/zyIwY8UVkCbFr8pjUEiP8yNhmmyI4SWX2oOhQ77PxRmMQwa1ERFkLK4J6r2XKLxUssgNh+5iq8x2yQ1E7f0ttM+YFEGaSY44h8iDMWmRGlDBrjNvoUofShsgYztiIMJxqSG2+hwpjoo+CTVC0qPfa5Psj3EpMeVkW2zdhyGanUSOOLs8lNRBt3EpEOCfXrmkIY729bks9rX0Kox6c/SM4qvpNEfGAg5JJT6pqMMWi38FU4VgB/Br4OvAljOH6ZyYWMd8ps/8TSZk1BAWjHmwZLIDqXKedlLszzjznynZ4sWWwWmNdM0Ftizhj43dlcCoB7nATqxkiYYxdD7Eakcmzik3uVZRUrrBCk8PU6HOoLcwk+VA2YdYy3k+X207iBfBGIyRS/JJN5JrxJisEp2bGtaoLHeKMRVCw8Mqm0kdrvCsoGAMUZYTMcIxTU2K7lddlDEhmNMKtxRQ2R7iVkNgT1DIe3uiyDGFW8Dttk+s2FJjKGOUYrxIT22Y5icBuqFElRkpYsIldE7Y1wg7F8mPcEd8IZ8pBO02gZbwmiGtSZjWqM3vsTUTkdOBp4MvAPwBPicjKKRadp6ofx5R5KqrqNar6hKr+f0DXTPeXelopO6V9cfOsdoFWAMtXwqy5SHas9duaoKk8rLPOvAJsmbLC+3Se1zmnXM6t93yi3Q7krDOuMOG+rAMZu+0lRVkHxITE7Eiwt4X43Vmc0SZx1iUsOGQHQtxRk8zb7M7Q6HWMcRmJsIfNeWWH4rZKzwqVeq9NYVtIvcem0Z2Mg3mJgrCphHmL2Emk7kCzU3CriuUn410WOPW4PTYYeWY8qzWO5ZcsnKYSFI0CUy1MnlstRpLcLonVlI4SMwYX5K22etOrxElyt5AZNsdbneeQGbGIMkI2SXY2XuVMv/GU2cY+Eh68Dji31UtLRA7CdIF/zaTlIjCydxHpnzRv+jvfcaSeVsousfyYoGiz5URrgligvNSMF43PPZqKVpHY8YxXtrXEFie9/TpOevt17WK1k5eP8i5ONcBuRu3q6HYjNFUtRJDAeEqZLVXCokfsWqYj8UgTVE3xWyAoCm41pt5rU5vnUJ/rGC+ny3g5foeFV42pLDC9vJymkinH2A3Ycl7A6FKbyIOgIPgdQuwITs2MX6mdlGkSyA4GZLabmoO2H+OVY4qbQvJJC5IwI9R7zfq2bwxi5Irx5oqm15dXjvDKxkBlh2OTM+ZCo8um2Wnjl0z4MzMS41Vj1AHE5KONH+NSR9qh1tizOOuMK3bL20156VEE1Zk99jLu+OaPqvoUMFXC4P4i8iMRuXHc69b75TPdWepppUzJ6RdcbYq3JkKIzSdbuMsrbD2uRM/jMRIp2cExA3ba66/BbkQTDNRpr7sakmoQLYWf2tLOu7IwEvfTXn8Np73+GrxQ2wnELa+nxZnnXAm2EBY97EZI7FqoJUYpqCAWBN0Zstvr4FhmzGq4AZIl6DQ5V36HA6oUN41J7a0wyaPKCcUNAfU5ifIwYzwq4zEpwwda5Pqh69cZIg9q84XMEDS7xjoOo0YxGHtCebHg1FxizyPyEu8sURZ6ZWPArAichpkXFC1K61veowkDxp5Zvt5jt3dgN5UwZxSItg+oUlnk4lVirMBU5siMREbEUXKwAsVNvqYo55hk8Xpo+n+JpLlcs5x9RNu9SkT+GfhW8v73gfunWO7Cca8n9zqaWe8jUqOVMgOe+10HUPK3liZMt0LFbsZsPsnjic9cZAzLFJx+wdUwyRsbX9jVqYTtwLzEJkgf5p12srHVDHExEnbLj4ldM8blVAJUhLDoIo5gB/FYu3uBygElRpfazHm4SZizkUgZWWbT83SIX7LIDscEeTGe1agystwz4Tw1icKj+0NUiMlutfBGAYWhYwK6HnKpzI9pzIWoGOHUXNwq5LfFNLrNuF9pg1Lvs5EIskMRsSs4DcUKTfFdp2bGqazQeHbZoYhmp4M6kO0P8ec42E2zbOQJucGYMCeEOTFVOeJWWxTBisYSvp2GtscbwYQPw7zTbmHSqrGoVtoBedajoPtGGac/w6gCP4AJRt+NGduagKretSd2lhqtlCkZX0Zp+d+ZfKvwdUOU13birJIJXlaL8V7WmedciY1R5rXzocJ4h1DhmedcOTbkIsJP7/44557weewgJig63HmT8cTaxW6zNs0ul2x/s+1ledtraMYm9mxi12LkQFPB3RuN6X7GJOW2koCLW4TBg8zPvrjJSM8715gL+egSJ8nXMh5TcYMwcjD4h9UI1uVwakLxaZfRA2MkEGJPcftd6vPAXgeNHougYKpoBAVptyhpjVuBURNmhyIq8x1TyLdb8EaVZqfdLiJcWeSCGA9PIiVTNknKTi02VeYbZtwsKAixA96oqdKhNoS2YIUOTtWETa0gJvZMaxMnqWkIu6fgTNl7zILQ30xwgC+p6vXQrpKRmbyQiDzMNM6jqh4x052lpEzLnPuFgfMbVMpjnRwlVNQVmp0OT3xmYiX3s868AoF2OaZWyG98ftA5J33BqNqSsZbYsbnzpo8YcUbWIUjqEZ5x7lWQsQhLLnbDjFkV1pQJu7OgpmBu0JdDghin4tOYm6f78Sph0aXe55IZCU0dwpxDo9dsMyhBmIPKMsgMgqhN/2ti9vtx2O4g3Oyw8DvBG7JouhkcFRpLTcPK4lojwsASGr1K6TljMCIH3Cr4HVBeESGlgPlzRmj+YF5SRcT8XxvdNl7VCD9y280YVbNDsJuCk9QwdOpKbZ5NcVNImLGMqMIeCyXGtqnMkanq2LalJZKx8EtGPu9VYpxahNo2ZExh3aDkptXg9xH2tjJwhtyG6YxcSd7ngFswnZHH87vJ818kz+PDibWZ7iw1Wikzxn02R99DERJru7o4jI1X3XHLxPJLre7HraTW1msJx8qA2vUIv9tDQuWcUy4nTkJZ3kiA3+liBWPegpskC8c5FwlNKDAsJAnDnk2cdfGGfayaj3Z4RBkxXtmACfm1xpQ6Vyt+SbB8i9xARJgT5t8j1OZY2E2l/yih+zEFjDHKr7WxGxAPulQP8ZHII+g2HpXlC7ENXtmE3IICuDWY+0uLek+WimRxkwtP5Am1BdD9pPGYWjJ5FApbY+o9FkFOqC6G7ieU3PaIMGMRuybdwPYVtwZuJSbMWTgNE56VSAgKxrA5tZg4Y6T6YdZsXwJTjmp8E0kYU2iedeYVxI7V/v7OOuMKYtfa4ftMeWnZF2oPJmRVtWWwUNVK0iF5Aqq6FkBETlbVk8fN+piI/Bz4/Ex2lqoHU6Zl5YXXUO8RnKdzE6arJUhgWtDvcHHTiV5Vu+7gOGLPwmpGE8a2gpJryjTFxqvIDDRNJQzPwgpi1LVp9maIk3p7TtnHG2xg1yOcSkCz16M5J8O63+mhssglOxgleVs2fqeDVzZChnqfmNyrNwyx6VSLZpdFdZ4ZO6rPseh60oQHw6Mr+IubeGUoHxBTPcQn/4RH7JmivaXTt1Fcb4xUbT7U50JjjhFDbDs5otkDfpd5H2UhLEBhowkjSmy6NWcH4kRcYcamJIa5D0SIQm2ejdpGCp8ZiRFN+pCJGBWnmrGs2DHvWyWlYmdMQCOhtstYWX7U7rsVZU0odXwJrHNOubydy5UyC1CS7qIzeOxdqiLSbuAoIq9h+lqCBRE5ZdzyJwGFme4s9bRSZkR+C3Q/1Wz3hhqv7jvxnddhdUzsc7XyDddgN+K2AOC22y81IcGSix3G7ZYaAJntdfxuE3qUUPnpvZ/gjHOvwq6HqC3EGRsJzUU6tzmJIsSKOhZBh0eUscj0GwmfxDD3wYBGj0kiBkxpJAeGDrboXK10PBex6XTBqnvEuZjyaQ08L8S9qRO3koglckLu7iKFEPyS2a631iMsmrBcmFe2bu+gU2Do0JjCeosoA7ntkBuICVY7uGVT0qnRY/qOSTIM6JVNsnJuIKY210rCeIrdBIljI3u3jWG1QlOVw60q3nCUSNnBbSgSGiWhnRTsDXOCFdjYgeLUItxRU12/3ucZ+buaMbIoa/LcoqzxalvdmQGwTFFeK4xZ+YZrpsyvS3np2EfCgx8Evicim5L3C4Dfm2b5PwK+lhTZVWAE+MOZ7iz1tFKmRS0hLI6152jh1CKwx8ZgWpz2uqu57Y5LUVsmeGArL7xmQgPH2LW49d5PtnO07EZkqr5bwllnXmHacszP0+zJ4g43CYouYckzxk4EdS2smk/sWeTXlYk9C6cWYTVjml02XjnGaZqwmF+yCXOCf1Cdbec2GTjUZu7B/YQ1lxWv2khnqU5tKM/QqQ2GDwa/JDQ7hOoiGD1AkQg6nrVwyxBllOjgKiyum/NW6HzKajeArB5fo7zYQkLTJLLRawyWU1dTVNcxYozMqLFgEkFliRGNqG2SlYOCCR16FSXyxlqgNHods516jNU0aQdWpFjNGLcaU9gakdvWNN/NDl+kSSew/NjUWez22t9bq+Nzs2esOkiYt0EmhnYBjv3j64Hdq2iS8nwRNJ7ZY2+iqvcBr8KoCP8ceLWqTiV5by1/v6oeCRwBHKWqR6nqAzPdX2q0UmbE4KuTO/Bm3B6rapHf1GzXLJxcFUNtgVjbBXX9Doco60wwaEFHBlTbVS6shrn4uiM+VqQEXRmcWkjkmmaOsWshQUxUyCChUtm/g9rCDAOHZLDCmFx/QLPLJvJMk8fuv1zL4LkNzj7oSQ5cvI35Z2xgv44hTn71MywvDlLwfOxBB3ddlo7VQlAw1/OONeANCV4FwqypiOHUBOupAu4TeVAYPjSistjcLnY8pzhP5akcEOGfUCHIQW4rjBwcs/30gCAveKNxu8OzU40obI1Y+POQDecY41Tvs4kypoqF6Q4t+EUL2zf1DZtdprJGWLCTkk2KUwvJDPoQKdVFGZPDVQ2JPfNZFdcb77SyJE+zx2sX9HWqpgRWtuWlhrpDLzMwOXgnvf06jvnTG9rTbrvjUs4496q28UqN2IuEzvCx9zkOY4SOBt4pIu+ZvICI/O7496o6qqoj0y0zFanRSpmW4eU2zrHDO0y/4+aPUp1n41TCHeTTZ53+xXYX45bE/ZxTLscKYn7+vQ/tMAbmln0sP+bm+z5Dbb5RyjZ7PYKii1+y28rA7OYqfoeLOhZOxQdL8IYauFVTfLbzOdMTKyg6pofV1gYobPjP5ThP51icHcKzItb3d7Ox2kGsQqAWQWRzzukP4iZiCtsHtwz1OUZaXu8zqkCracahbN+EB7Xqkttkk98KcQa2nmy8p/y8Chk3pHxwRFCETL9F390ubk2pzbMYfLVFZaFDs9v01mr02HQ9atPsTO6YFSQ0QxUSGQVg5CV9vELzrGI6HwcFi8Yc85mFeYvS2gZO2WfkIGNUJVZqC3JUF5llJFTTayyR49fnZ5FQ2zUPW3hDPhKY+owtiptCrNCU95qckxe7Fsf9wfXtGpMpewBln6iIISLfwiQHn4IxXscBU7VJuUZEjhaRY3b2AL64q/2lY1opu8R/qIv97mjMqKVFq+txizPOu6pd+WIqbr3nE5x74mVYQcR5x32OvGvWdsshlUUZ8lsDnGqAujZBj4dTj3AqPtWlRfKbaqhj43c41HsFFZvR/R0W31an2ePR7E1SRQTk0DK12OPJLXNRFTb3d7FhUy9z546wbX032x+ai2eb8afMUFK1vaRkBoX8FtA3DeD8uBevDINHRRx/5DM8dPPBxB5kNigjKwSyEe6oTWUoT/Fxl0zJbAc141wqpmlm30MRVgTNTot6n1EoOjWSck6mdYoVKV4lyc9qxvhFy4gyqmaaFRoRhhWNdU+2faU+N0NQtOh8pk55vyy57SFBwaJjTZ36XPN5xBkbO4gJC47x0ID8VvMclJx2eDHOWKgt1DuMcMRpjH1v1fke1QXCnN/4JoTo7Hj/e8z/vYEH/vGiHaan7Aazw4vaFccCh+iumzNuBa7fxTJP72pnqdFKmZaHr7+Igy+7Ycp5q7568ZTTgw6Xs1dezk/v/gRONZxgsE6/4Gok2lFxqLYYYYAfExaNitCpx9iNEL8nS2ybihdh0TF19Gxh9IACW05R7LrQ9bjpRgwutYUZUw9RTD2/6gLQ54r8e+U4NBScQkDk21hOxLbNXeTXOFT3DwmLglOxCDqgsEHoWC1kB2LKiy2c/+01HlYBuh6xeXjdwTQXxHTuP0x/VxduWZCyw5LXP8czP18GQLafJPkXNr7NJ/fbHM1uGDkqRqo2Hc+I8aTKxvBIZOocxnbL2CmOb0QVqBF1+CXTIsUKYup9Xvuzq83PYPtKfnOdxlwjavHKRv7esabeVhnagDfYIOjKoJZgN0KCjkxbMFNe7CBhIo0PtN0/LCgI1XkOEsHoMo/OZyden0YO8AhzkBsw416FTSEsmar8XMrusdeVgTPhEWA+sHm6hVT19D2xszQ8mLJLFt3d3KWXdeK7TNWMO2/6CO7oVK10DO6I337dEmE05mTb1SCCTi+RbJtlgqLJ1Wo1PHSqIe5wk82nYuTpj9rkN5qK5rV5LttPigizptRRmBEGD4/pOHyAwophvA0ehZ4a8bYs3gYP+jPknzUX1o65FeyaZcKDDSHMG4FE/1GmynpxU8TIQUr91ArFN5r/pjds4f+iBy2FNOeGSCg8/vBSnLqRulcXK1EGqoug6+4csWfCjJ0PuZRWW4Q5M1YW5oTC1siUeQogOxxR2BwYo1KP24rN7IYKpdVVUIgdi9LqMnagJgcrZxSUflfGhPYi8wE2umyCktuWvQOEJa/9eUd5F7/TYcMZ2QnjWZlyzMDhsOVEYfBQaE5qpj5yoOCVYeggj6GDs0xF5xqflRdew+EfmvqmJ2UGxDN87F36gMdE5OZxRXB/9GLtLPW0Ul4wp73uarxJ09Q290MtL+vcEy/jll98ChhLQo5da9zyQn1uhtx2n9oCD280IDtoEowjNcVj7brJuYoyOQ74boPYtdh6bJbYhfJ+poCtVbdodInJl1peJ/N0jpG+HBoJ8UIf66FOHA/T62phjUafDVuzfOmwH/CBde9FIsEtm6oZmQHj3dhNGFphU1wHuqHI5v0KRK/yya72sOvgbHcJO2JkYZ3MU3miLNh1k5vV7FVKawS/A4LDqmQeKJh9N8BJGpOXNoVkN1SoH9lJ6bkqjTnGCDitlAExlT/inEtUcHBqIVbD3Bi4Iz7N3gxOPWb0gDy5/pCRA3J0PlsnM+jT7My1q7tnhwIi12Lb0Vk610Rkhs3nC9D9RMxzb1IyWyAstirsJt/N0jr1RYIOmvCiZmKym8YuHUEOskOKhMLIcjO9PtehsGnnNy8pM6CVpzX7+exLubPU00qZlpPfei233/oxTn3TjIswY4XKbXdc2vakxnNr0j333BPGkt+9YZ/qkgJuPW4bstizIFbyG6o0u22cWoTdCFGBMDf2s+19IiQsgt9pvCCrblE+KCLoicj+Jtf+z+tABqoOc0/ZRG67yZnyKx5x1SW/SfjgD95HnI/IDAgSwtJT1xG7MHqwUQcGJWj0Ga8pKkXYXsSi09ZzwXvuxT2wjFXyieoOuWMGibJKfYVPVIiRUFjw9ueIPciuKuA0TDJyfltM5xqfvt9WzDE6pmiuBBF2M8Yd9c14k4I3UEfCGKseUO9zIVakbgyCOqbXmVqmDqHEamoQFlxqC7KU1tYZ2c9h+ECXMG+3K5nYgfLsWzx6PvQcW97SZOsFxgP2FwRor481v47ObRKVJsnnu33TXdmF4VfHhLkklDkFtXku24906Fwzto1UqLF77AtNIFX1rqkeL9b+Uk8r5YVjC3fdeEl7HGsyZ5x3Fdq1Q/1MGr0u5554GZqxyW43BXCtMKa0pkbQ4bVrBua2B0gQI6Hi1COsUNuVHYKcBTFYgZDNBNRjcEZtwu6QxlF17NWmkoc6CoWIdRv74KAIMjE0baQQUDlQ6HzcJvOww+ChCio8vWYBHBAi+RAZsDnq7Cd5aPNC7EdLHHf401ii3PvM/qx+dBHu/Bo6mMGbX6PySA+ZMoQ1j9g14cC1P1mG2lDYYspJ5fpN1+I4Y0EZstvqNObkcEdDGnPzqCM4IsSuhTtUB1XcrQ3Us+l4umwMlmsSri0/RosOdqC4WyP8kvlcTMPMPFHOoe+3NeKMzcaVGVPWKYS1vysQwkNPL8XKhGQLPvUwi7hjsSbbjehcXCGKLYYHCkiXv8N3CMaARZ7g1pSBY0xZqbm/3ic8hNnPPiDEEJEyY0fqYXppVVW1YyfLzwVOBhZiKmc8AqxS1RkFOlOjlTItrfyrloR9JsTexNCgXQ8JC2OD8ueccjkiglOLURGCDhd3NFEJ2hZh0aW6wKW01ggJVAQnMWBRxsYtB0gYUVlaMJXS54f0LRrGFiUeMgm90rCwuyPyRw4y+mwXmo+x7JjMM1maBzYQUdwNOWLHpveYbWzxuqFh0bPfMEFosyDbJO/6PPvcfM487wEe2L6EWIWTz/8tR5XW86VbLuCQo9bi7Bfz0MPLsOc0KBUajMZFaksiMttsokJMWISehy2CPAQ5c2EPcxaikNneQEXwuzPkNpnSbU7FprJfASzBrgcEPcboutsrYNuEpQwUPdS1cCrG27KbMX6Hg92AzEiIWi6VpQXKiy061kF9f4/hU+u4z0JjYYjd4ePZMX7/WGmu3lKVMN/ggK5+Vo/0MlzNEQQTXSg3F+L35xAvxp8T4gw5hEWTCjAV2YGQ/DY1icoJA4eml5zdYh8ID6rqhJ5FIvJG4LWTlxORM4CPAT3Ag8A2IAu8EThARL4PXKeqo9PtLw0Ppkzg+HcbReppr7t6RsufdfoX2+KKlpfVGicZT6ui+ClvvtaUYBLBGzbrqT1WK8+p+FjNiNK6JlYQ4w41cMu+6ZkVmjGe2LVo9mQJ88LAYTbugENlVR/bn+mlsl+MdWAFCQXngSLDAwXiJMTlrs3id8cUSw3EgsJrBgiLMVu3mxvC/EabwY2d1OoePdkasQr4FmurPXhOyKHzt3D7Q4fwdz/8HVRge63IwaWtaCYmDiyGnuql++jtqK0050bQ5ZPtt6gtMAV1/U7ToLHZZVFYM8roAXkzRtWIGDqiC4DRA4tk+32Ckjlfb0vZJGjbNvUlJdxtFdyhOhIqjblZrKpPbEtS6T1CgpjctiaxCx3rzHk3esF7OkfQYT7j3Ko81iNFCmttsJU4nHgZiGKLOR0VLEvpyDTw7IgDlmyb8vt3KiZHrTEHtq6MWHwrzPsFFDZP7ZWl7B6iM3vMJlT1v4Ezp5j1OuBPVPU4VX2/qn5SVT+sqm8AjsQYsnN2tf3UaKU8b6Ybnxg/njU+ZHjPf0302KwgIrfZhK+sIB7zyGJFopjmnDwSxtTnmOlR1ibK2mQGG3SsrjN3VUBxA0QZKK02HkzQcMAy41A0bUq9VXI9ddMNuCugUs6iMQwNFbDmNogbDhoZ+bldtrHtmHXD3Wwc7OK0ox/n8ecWMFLLMepn6F04wqln/pbTT3iEwYf7+J81h7Jw8SAHLt6G9jbZPmBuOq2GRbbgk+03dRudplI9skFlgYPEUNuvRHY4otHt4pR9uh4bJejK0vnIILUFGbKbK8Segz+/hNWMGD2ok8z2Os1FHajnYDdCsltNl2Z1Ta6X5cfUFmTwuz3qfUndxdGI3kcjup+IsWtC56PjFIJDkF3jQWRRaWZohA6VYGIYd+3DixheNYfNty4hn/XJbrYhFLytDvkt0/8+/C6bO27+KD/7wYc56e1GXfroFWne1oxRgXiGj72IiLx53OOtInIlUwQ2VfUSVV2X9NuaPC9U1f9W1f/c1f5So5XS5rTXX8OvvnUxJ77zuh3KMe2MMO/sMI7ljQQ7TSYGEFUkjrn13k+aRo4iSDAmwjAV0GOinINTDQiLHvktPkHRxamGPPdmU3+wPjdDZqhJZkRZccJzxA5kt1rYG7PEjpLbDrgxOS/Abzg050QQCyLGuyg+kCUazuCM2OTXOjSOrBP1+Ry+cDM5LyCKLHq8Ktmij/9QF88+tZBKLcND2xeZ81wxSkeuycCqeYAJn+UKTaxsiDck5G7pQGIYOVDZdpyiNYfR/c1n4Bcthg8wjSDjjIPfm8Op+GjGpeOZCiqmULA7WGf4IBPGCzoyxusKY6QREnu2MfIKpXUmRldaUyW/voLtQ3bAhA+jpGty57NKbBkhSGnt2DVl6X8Lwc96qD/Qw2M/O4DqXXPYfudC5PHiTr9Dt2IUmHEG/A6lMTemsNph4FCbRo/FwKE7jmGmPA/2jTJOrx/3OA8oAxdOs/wzInKNiBzyfHaWBphTnjdOPdqhE/FMaEnfYazyeet1WHCIIzUtSoD+I/PMebBG7Flkk2rwVsXG78qw4XzFGS2w4J6Yx55aTK6Q5D3Nb0J5LERZvWsOx1/4OI9sW0B5U4nueaMMP95L+XCfQ/ffyHM/Xk79iDrFQoPRgU4eWLMErbicdvTj3LT6EMLQIlOFzMJRegtVRptZ7rrncLLLRxks57FeVWagViAKbHi8iJVLKraHJmwmMXQ8YzFyVMSRpz7NQ6yg9xGoLFH8DpvOZ7M0ui06shbekI/lR2Db1BZ4MN/DG1UaPRa5/hh8Jc65WPUAZ7RJbWmJ/LPDBPOKhHkHyxfCvMPcewcJunOmujumLJPVdHBrNnZD8coh9T6X7ODE72bu/RH1XpsoB5WlijsqFNcZ5WR4Vw9RNxSfcnaqGGzx0N9M9KhmWwhrn2Ef+NxU9Q92c5UjgHcAXxURC/ga8O+7GstqkXpaKW1ahXB/8W8femEbinf8p42XzI+XuwOJatAoAr2hBt5gHbUtrEbEnAdNsVen7NN/VAd+h83SW0Jq8xzm3muz7OgN9F78HJltDrEL555zPzLiQiGksiwGFaoH+/x67X40Hu3iNUespvxgH3MO3c75hz9COcjQOKrOWw99EMtSsBX1bQ599Toe7l/AiUvW4LoRp77tAVwnYu2WXoYf6+XI1z6LqnD4ws1kMwFBaBPWHNOaZIvQ80REvj+itjTCapq6iDQtttcLLDx2E2+59Fa6nhAW3l0nvy3ArY0lV1cX56ksLVBZYJKdo4xQn2NajGw9LkdtYZawK4uKkNtco75/F2HBISjahCUXdQV/bgG7ERJlbdy6MVxWpGT7Q5pdFvU+l8LGBrV5xlB2rI1ZcuvOm8cGJROCjfJKaWPM3AfMOt1PRESliHm/gNx2ZeHP6nSsC1/Y7ydljFnsaYnIJ0WkZ5r5Z05VAFdVy6r6/6nqScBHgM8Am0XkmyJy4K72m3paKbvkjHOvmrKLrVpTx9InF9DdGeeccjl+t0emv0FQ8nBq5mK39cRO5q6qEGUd7HqAOjZxxiE3YIQFEivZwYiBQx22Pzef+T+16XKVbcfH/PiRw3ErFvaghxUA2yz8I6p4vylQe5VPrEK0f50tz/Rx+/1zCUoxua0W3996IhIC+ZilS7fz6ONLOf6IZ7hj1aEsOKCfO358DLljBtHBDHFHxBPb5tLYWGR9rsnIcJ6eO7PMC0y/qsxIZAridkFuo6kOv/E0m65HhE3lBcQZ5XvfXoDXiIk9G2+wjtvtYjdivMEG9QV5RvezcSumbJNbU+wGDBxuke0307xRi6Av165sYfkxtT4XUVOf0PLVVLsomUK4mf6o3Rpm8DDIbbHwi3nm3F81YchqjNoWhQ01JM6z7VibsCuksMHFrcXM9P62tiAz5U2PN5Iast1m9icXPwzcKCIN4AFgO0YNuAI4CvgpUxTATca0fgf4A2AZcB3wbeBU4MfAQdPt9BXtaYnI+SLypIg8IyK7H+dKmTGZgXG6aBHOPfEyJIpxyoFRBqoioTFK8+4Zptk9NibS7PVMeaXAdDTuP8wzldGfiZl7l4NfsnBqCrkIyg5BR0xjboRaUDvQJ7uqQGOeQiQ8+NvluF6I1d2kOT8gt6SMf0SVuNvnbefcy+IV2/iL/e7EGbX49f0roBAyUC5wxuseIIosLjnnfzjx8KeZ3zlKZsBi27YOSvdnGd0fhl9fJcgLlQUOpY0hXhlTrDeCTL9Q2hhRXCs4C2sUNwaEWVNDMc66RBkhKNgMHl6iNtd0LM4OxUlhXFO/MCgq2SElzAt+h029zyUsOFTmOzR6HcK8EGaEyIOgaBMUHSqLLTathOqiHLV5LqP7Ta5dAnYjxG7EbDolS7Mni1rgDYNdMQ0na/MsFvwipDknBlGyAyGiSpQVYk+Y+3PTTqXeN6svsPsks1k9qKo/VNWTgT8FHgVsYBT4V+C1qnqRqm6fYtWnMWNe16jq0ap6vapuVdXvAz/Z1X5fsZ5WYu2/jJFYbgDuE5Efqepje/fIZh/jvazTXn8Nlh9zx80fJcpMfc9z2uuv2aHn1uAh+XYpp9i1zLiNCJYfM7x/lsxwjFOeKJNu1dyzfCXo9HAqIZZv0bnGprzUJigIw6+K6XsQ+o+wsHMhznpTWin2oD4vJrPew+8C7WsiQx5xPqJZc9HApvi0S2NOkv9YiviP376GZQv7+dS/vwvvsBF6ijU2D3RywJx+nhyZi+tE/Hz4QO5bt5R8zkdC8NZlGD0gRjMxOVHcumniqAJdz/iMRB5BAXIDyvBym8yoYj9UZPhA8EaNZxY7Qs+vtxF35IiyRfKbfRp9XtJpWBA17Uk6n7GMN4YpaxV5QtQU1AG/YGE3TafjyBPspBlm17MhowcJ5aU2EptKHAvuMcY/zIqR3FeeX7ml4roGiOmzZjcictvstrc83W8oZTfYN8a0nmYG1dnH8R5VvWf8BBE5WVV/rqof2NXKu/S0ROQvRaR7Nw5oX+G1wDOqulpVfeDfmV7xkvIiI5EiSbVxK1RiVxhdnkEixR3x2Xh6Fr9k43dYZAcVp6Z0P2IR20LvYzFRf5bCRgiLicy8ahFlkp5Uq7Ooq1hVm+xTWQ5YtoVmN0R9PmFXiF0KsNyY/koR+9BRwsgYzEV9wzy7rY9ILQb7S6y65RCCisfolhJRDvJbYcWhG5i3eIh3HHQ/2f4Qt6pEnlBZ5JreVzY0OwWnCUOvhuIGpdFrztEt+7jbq2iiBOx8dJj6HGOwvHIEQntcK8pAo9si8oyRak23G6Z0kxWaZZ2G0uyyTPfmWkTPQzajKyKa3RBmBbcaERQEtxrjlxxGVhRwKgF2Exp9Dt5oRGOOmor3BShsjtl+pEPhOYuOpywkViTY+1VaXwnMZk/rBfC3U0z7u5muPJPw4HyMF/LdJJz2cokBLALWj3u/IZk2ARF5v4isEpFV27dP5em+srjrxkto9Dic/LbrsJtTX7isZsw5J31hwrQHvnIR9flGuv3Tuz9B0JlpS9y7nqqT31wnLHqQ/LycSoDdiOlY3SDKWdTnZshvAa9swn5WoDhNxQ6UgWMi6r0WmjHHU1xvDFXHs6Y9SGGjad5Yesqm6wkL/5A6zz24mHBOgLMlgz3ikM83ibdnKW8uUd9S4MxlT/GOxavI2MZzGKrmUd/0lcqtc8mvdQiWNlj+jmc4fc7TvH2/+/nGPacSFO22wQ1zQlCCztURkQe1+dD1hFCbLxTXK1agWDWf5uIOygd30+jzaM4vMnC4ZTypjGW2kTefiRWYkkmxLcQe7aTioCjj+mxBba6FFRqjOHBIhuFXxzijNo15EZErlJe4ZIcimp0WlYU2sWMEIF3PRIQZobrQpWO1mM8tMJ+lhKYkVe9jY021wpJLlLXxSzYjB7QaUb5igzcvDioze+wDiMiJIvIhYI6IXDzu8VlgF3rUMXZptFT1k5iBtX8G3gc8LSJfFJEDnt+hzxqm+qanSoj7J1U9VlWPnTNnzktwWLOf2BEkUrYf6XHqm67lrNO/aBoBMk60YQmnvd4kH59z0hc45c3Xkt0+Nq7lVI0xCIsuUc4mdi2cchNUaSwomGUqAXHGJraF7EBA9+N1oqyFWzFGATUX1bm/smh2Q/EZoyAMXzcEwMDxAbFnGjvmt5j8pEYPIErU55PtbBD0BVi+UN5UQjtCFh+wjeUHb+Ynjx7G11afxNNPLCJoOtSf7KSw2qExL+I1FzyGUwP3uSxdXo2MFfCNr5+P12/Gokqrq9R7LXoerbPw1n6ijJDfrsz/dUizy1SNjzJCdYFN5YBOwrwRQuQ3NbCCmPwWc17NThvLh8LWGCtMBBYR7fqBdmA8OtOg0TSNzAxHBCVj1BvdNlHGJDqro3Q+YePWFG/U/MyzwzEd61OBxKxlpsrBGXpaItIlIt8XkSdE5PHEiPSIyK0i8nTy/GJG1TygiBmWKo17jAJvnelGZnRbpKoqIluALUAIdAPfF5FbVXVmWaizjw3AknHvFwOb9tKxvOKQMCIqeagtWA1TDFeTrsXZ7XXijAOx4g3UsYIMqJpEZIwHYVWUoYNtSuti1Ba6no6p91nYDfDcELsS0/trl/ocyG+HfH/E+gsjSj01WNVlcqgOi7ErNrFnpO6WE7FhzRx6Fw9jZ0IGt5Wwu3zsZ3L480LmPGjh1mwenL+Ihatq+N0ez/3sVfzmwCMolJV5q5rU5nmMrChS2hjhd3v43R7F9Q0afRkq8x1qi5X9/7PO4CF58ltj1ILC2iqDh5Vwum2Kz9Vxakqz0xijwraQyBVMnBAyw8aAtcbCANzBpARWNaKyyKXrqRiJlZH9LQpbjGBiumaChc2hUT0OBeS2Ndn2mjx2w3htccmEn9wKdD/VAFVuv/1SzjrzCuxGZNaLjEBEImXg0Kl7a6U8T/Zs6O9LwE9U9a0i4gF54OPAbap6ZSJG+xgwowFIEfm76Y5w8vhUUvn9LhH5hqqufb4nMZMxrQ+IyP3A1cDPgcNV9c+A1wBveb47ngXcB6wQkeXJF/gO4EVrXPZy4awzryDIC145pOfJEG/Ip9njgRovq9llDEsrTHT2ysvBEjJDAfW5Gc4858qdbnt0/3xSCcIhytlEBYfGggJB0cGp+Ea+nSgI7UDJb1Vy280YUpgVLB+KW0Ksb/WSHQgp7wd+lzJwss+2Y2wKT3qUtxZpvqpuvJ2Gg7OwRmZIsOqW6ReViand20f2wTzOVo/OO3MsvaWG5EJqcy0W/s8mooc7qc3PMrrUAYV5//owPbc8g/fMVsKcUNxgPEq7EVPvtXBGGhTWVRBVFt4Vs/2YPN1PNhIVoEV5eRErBBQGDy3Q+Wyd/PYIbzQmu7VuagnaxvDGrlEHFtZVyG1rkhuIyPb7uJUIK1Ly/RFqw/ajbDpXRzi1sRDu8BEBTj1m86kmtLjhTMHyldgToz7M2dQWZGn0AZYRs+T6lXqfRWNOIox52YwO7BtIPLPHLrcj0gGsxETMUFVfVYcx4/jfTBb7JqZ47UxZBdyfPN4w7nXrMfkY/iZ5+ffjm0XubtPImXhafcCbJ1tGVY2nShzbV1DVUET+ErgZE0/9mqo+upcPa69x2uuunrJ006lvuna3Kry3sALTvFBti/pct10t/uyVl3PuiZcRZR0kUixirCBm4IgCXnns39dSErrDSpC0NfHKEZntNeoLC8bLUIhyFrEDxY0BVhgTFB3CnLkIl9Yab8H2XarzTNFaXevgd9rU54KdDQl9m/wgeKMWKIwc5CAKzR5YcuwGvO+VWH9+J3NvVlNNfXE3PY/HDL3KovNZU4W+dtqrKdy/DuoN+n6+jQ2/M4/C1pjqXJfi5pA471FenqewySRFFzbFjC7P4JWV6jyLyBOyg7GRrBeM0tL2lc5n6gwelhg0MaWfuh4vm87DQQSW4A35bD4pz+L/7UfzHlbgEbke+/9HP0FvgUafSRcI8yB1m/4jLUprICgoi+5IPm+F7UdbzP+lOZ6ZsO3oLA9fd1H7O52qJU3KHmDmnlafiKwa9/6fVPWfxr3fH5NH9XURORJjVP4amKeqmwFUdXPSNmRmh6baMnaIyAfHv98J30qeZ96cbwp2abRU9dPTzHv8hex8b6OqP8Yks6VMw2v+5Abu///MBSrK2ERZGD4wQ/cTDcK8Q2Y4aHeiK2xqTLcp09E4iFHXwq5H+B0uYc42xWqbSlgybUm6nqggYUxjbt6IG5oR2c2mfUezy6br4RHCV3eYlvTN5J+t4JZD8kCQSMAjTxBHcU4fJAa8n/QgoVBdEpN/LIdTA78DMiPQOHuURd8uEOaUoVcL3kc7IIrxhqG4scnW12Rx6y5BXuh7OCLMJnlRGaFQLBCXssRZl97HjQHNbReGDvaALPnNPqPLMvidRqqeKSfhzKbpcFyba2ElvRJjx4x5bTs2T67fSOjthuIXLRrz80Su4A7AtqOyzP1Nw/TpwjSEDLM2xfU1gr4iEsXYvtL1dIxXiWl22lTnmTtzI96Aep9DZmRio8cF9wZsOcGltFaJXMEKzBii+Uwjjv6LG3j4y2nh2xeb3VQG9qvqsdPMd4BjgL9S1V+JyJcwocA9xS6PVFVb3lcP8GNV3UlTm+l5RScXp4wx2cs649yrABg8eIaiHku445aPthWBYPpoASBixBpnXLHjerYpReQ0FG80IijYdD5Tb1d68IZ9SqvLOKNNgq4sqNJ9/wCNBQWcumKFJlwYZS1Gl2VodruEWYuhgy1ygxFhwVykh5/rovJID2HWyMJ7HrGYd59PbruSHTTChvn/L4vtm4oW2X7o+buNbFnZxfDhEZtPMGM1RoRiisV6lZjsQEB5iUX14F5jNAoOmS1Vhg7KGMPVH5Ppb9Lo8+h+osr8e0bIDcZ4wxFBHprdRhHoNMz5SmRKJoU5c9zlpUlHYjXCiUa3TVC0GD6si9ygUu/zKK5vojmX2LXwRgNi10IdQS3BHQ3IjMZsOc6h8+kq8+6r0/tok87V43LiBBbfETCy3CY3GKOOkN8MXU/UeOAfLyIzPH38KfWyXkT2nHpwA7BBVX+VvP8+xohtFZEFAMnz1D1o9ixvAJ4SkW+JyO+IyG5JTlOj9TJnpn2xpiM7HLeN2J03fQS7CQ/8v4uIsqZ9e+zs/GdkNc2Yi7oWEplQIKpYzQiJxi6GxQ1N3LJPbkvDTNcxYUbYkaG8otN08QXijizZ7XW8kQCnGpLtNxfgoUNMb67qQgsEhg9wcGqw7bQQp2KhruJVoPupiMKWCKsZ4TSU3EBM78NVnFrI6FKH7Uc5LLhjmOH3dLPgriFWfLOB3wVhATaebtH1dJ2OX62HSKktMOE3AHvrMLFn0ZxfoOfROnbdjIOJKpnhgKFXFeg/uhO/ZMKXVmTGjSpLlEaPMU5h1hgutSByzevYhTAj1HstwoyRwLek6FFWqM33qC4tUl6Wo7I0S22+MbAbzsqhrgWRMuc3EZUleaxw7IbYCltenPke5t1Xw24oTmVHRWFmwBjRyqIMD6Ze1kvHHlIPquoWYL2IHJxMOgt4DDOO/95k2nuBH8700ESkLCKjIjIKHNF63Zo+zbH8AXAg8D3gXcCzIvLVme43NVopU9KqYND72K4l0VHWIig6nHXGFfhdprq6OkKU3fEGqtnjEXs2EppE4rtuvISb7/tMe/6t936SKGMTZ11UBEnCjm4lIujJE3ZmseoBYcGl2eXid5pcocoCh+7HwC8Kdh2y28GpQtezTQ74l4jlN9ZYcmsIasbGstubPPuHNtl+v52ntP3oPJFncroGj+5k3VvmIwMjNOZlmfNgzPLvbie3WRh6VQ7/wPlUFzpYAXSuMaG3xop55J8aMF6iCNXFefoebjCyosD2I8y4nNpGBNHoMYanuEHpWG0MVuSZqvAwLj8qkbiTJA1HWXBryuh+JnE6yAv9R1j4HRZ2wxTEzW1rEuZsOlYrI8syxBkLp2nWaXWVRk2V/tiFyiKX6oKx7yrK2ozub76L4/7wemxf6X46pDbHJjM6MZSY8uKyh5OL/wr4toj8FlMb8IvAlcA5IvI0pjrQzpVSk1DVkqp2JA9n3OuSqnbsYt0AuAlT1OF+dqOwQ2q0XuY0u21O+P3rXtA2JFJq88ZafTzwFXOnfedNH8EdmboE0O23fowoa3HrvZ/ECmJT7WJSlEltaTeLdCp+u2XJbXd+HLvSxPJDagtyhEk5J7se4Hd7RMUM7lAdtxphNWOq8x28itn40AU1skNGBBJ74A43CUoOm0/MM3yAS2ldgF8yKrkDvhYl3p8yfIBLbiDG74baohi/JMz/VQNyWYK8kN/cZMsZc+hcHZMdjBldlqHve4/Q8eAW8lt93KoRZVA3Y3pR1iY74BO7Fo1uwa2B32FCi9mhCLeqZIbj9mfiVs3Fx6kx4c45zLfyukxVDbeixDZkh5TYFoICpgmmK+T6fWOgqoFJJYhMCLNV93HeqgYSxkSuhTvanFDVIjsU43d7OPUYd8Rn7qqYc0+8jM5n6s/jF5OyR9A9px4EUNXfJDmnR6jqG1V1SFUHVPUsVV2RPA/ueksvjKRIxTeAZzD5WV8FFsx0/dRopeyUM8+5krt/dMm0y9x258fxhn1GlzoMH5jFqUWsvHBiR2O/26PR60GsuJWQ6uIdc3luvu8znH7BWCjzJ7/5PIhQXD2KU48IcxZqWeSfG8UeqRHnXIKCjR3EeBVFFMrLhDi0iLLm4u6XoNmXIyhadD4X41aVOGMR5iy8kZA4Y+N3e1gRdD0boAK5rVB8ziIzotTmezT36ya3PaT/qByWb8JxlYU2vQ8M4b/2IML5Xe1WLO6Ij7//XJyKMYzlpRkavY6pMRiC7Zv2IIgQFITCJp/MSER+a5wYMaW0VnEagJhwpBVCsxNQs77fYdYFs4xbhaAAokqYtQkzpgjvwKtt1IJcv7mp8IZ8wqKDXQu468cf4ZZfGn1Vrj+m0S34RYtm547jl42+DKJmLC87FFPvnXHhgpQ9wSxuTfICeB/w38BBqvpeVf2xqs44yz01Wq8AWi1Ejn/39c9r/Xv+68P86lsXz2hZK4hRSzjuD65HbZnQRwtMC43Chgaiai6ck3pvnXviZTts0xluGIUiEPTmCbvzPPXnHqJQ73NBFbca0/mskns4R+xAbiDCGwW/ZONWYryREK+iOLWIzEiEW/ZBod5jmxyvMCa/LaBzdUDH2gi7qXQ+NkKz0zFeS2C8ltH9TGv7oSO7sZoR24/OE2dsgoJFfV6WKOcweoAZOypsCogdITcYYQdqKlqEYPsxHesiags8woxFo8fC9jGhy4pS2BxR3BiTGQKraZSNYd4YL9uH3GBM36phOtYGDBwbUj+mjt8hZAYb/Pz7H0aaEUt/PIQ3arwquxa0P/ubV322/bkGHaZLcmZEJ3y/9flZvHLEttcUGT7AprzQYduxE43VkR+8YUa/h5QXyMvQaKnqO1T1v1P1YMqU/PLbz7+hY+TO7OcRdHp0P+23BQnjsZqm2oVbicbGU8Yh8Vidwjtv+gi3/OJTJiEZEz78yW8+D7ZgNaL2eFdYcFn+bVNKKjMcEWVMOxCvHNP5bEyuP2Lj6TbZoThpmWGb8KYqfskmylgMH1wgyllkh2MywxFqCSPLMgRFk0CrFvhz8uQ3NYhdoe/BKtmBkIU/b+CVE4m5JXQ/5VNZ6NLxbI3sgEmA7vn1NtxKRG2ei1eO8YsW3mhMbENmJCLMWBTWjJLbHpAZCelc7ePUlY61TcKsSTgG6FgXUtpgwpeZQSitj4kd6HxsBFQJChbugEPXbTkW3j7U/kzXvK2LKO9RWFMmM9iASLn1nk9wx81mnPK8Yz/LWWdcQXZbncp+BVZ91RisICfcedNHiB2h2W3TuXbs5rf3kZiR/S1Gl5sboOqMgzkpL4TZXjBXRGwR+ekMl70neS6PE23sUrgxmdRopewxvErM2gsyprV7IgtvYTcio1Yruag1JtK45ZefBks468wr2l5WS0ItkXLe0Z/h5lWf5dZ7P8m5J3yeO2/6CGHOIrOlQr3XdDq2fZKxKouRAyxGljv0PWiMXpQxooZWSC3KCN5oiN1U6j02mYGmqWMIuLUYO1Cy/T52U7GrIVYQ4Y4GDB2STwwfdKxpEuSEZo+HO9Kk5zcj1OdniTI2hQ11NOfhdzoUNzaxmjGRZ+oMZodjIlcobGrQWFCkPsel0ePQ7DKJ1mHB5Ey5FaWw2afRYyfHq1iR4tSV/NaYoCdHVMhgRbDoroA59w2hrk3smQ+87zcxdm1M0n7zg59rvz784hvYckonm04dC9Ge/LbrOPmt1/LAP17UriEJUOuzCYtGvZjf7NOxLq3snjIRVY2Amoh0zmDZU5Ln8QKOGQk3xpMarVcArdCPU9/1ReeUN4+F86aqkDGZ0153NXfdeAmxPTFXpLihSXYgwO+ycarBhNJ3t935caxmNKGkk4QxsWtx7gmfb0+7+b7PcPODn2t7YhLGnPT26yisKQNQ2BLSmJvDGwlp9Do0O4XeR0OygybXyqmb8k6QKO8yQmFj08jNA8UrxzR7M2S31fFLNk5dyW2p43e5OLUYvzdjKs9bQmZEKWzxiT2LMGfTtbqJWuaYgr4cjR6TGyWq1JeUjAw/VjOmVY7JDMe4iZTc73Bpdtlk+0OsoKUENNUtvGEftaG6wDRrlBjCvFDYFJragNt93O0V7JE6uc01chvL/OQ3nzf9sQou5x/5Ke79buJdO1Z77KpFYWvMQ39zEY9//iJu+eWn+fn3P8zPv/ehdsUSMON2sS1UFgv5SdU4n/zURZz8tut45qOp7P0lYd8IDzaAh0Xkn0Xkb1uPnS0sIt+aybSdkfYReAVz2uuuNnlWtnDPf+26VNPJb712wsVtPE4jopZx2O+mJEwda7tOncQQFBy0ZCpWgBEOSKSm8GoUo5bFT+/+xJRjWnGiHrx51Wc598TLCDszWL5JglVbiHIW+a0BdtMhzFrktxkhRORBZlSJMuDUTXUMLCG/qYk73DB5YKpUlxaxIghzgj1YReZkya0fQSp1/P36TCV6D+x6hLNlGH9JD6iSHQwo71/Cacb0/WqAoLfA0KsLOA1FLYcgb5k2JZ7gVWLqc4yn5g37OA0byzcqx9IGITsYEuVs7HpEZjjCbkbU5nnEjhC5kqQQ2KiAXcggYdw2SK3PLNNfR12bc0/4PBZMSCVoUVw/fcWS226/FJg4/tn9tOll9sRnUkP1kqIzVwbuZf43ecyUQ8e/SZKLXzPTlVNP6xXEzgzOZI750xs4+W3Xcca5V7WTindGZZHLmedcOaESBph8LImM6KKFU4sIihPvk/xOl1t+8SnUttoe1Xhv66wzruC22y/lrDOu4NwTPo80QoJO14yPRUb+nVtnyjsV19dMBfhEyu3WFNQo8HLbQ+NZdblgCdXlHYweWEQdK5GaRxQ2NFDHJru9QTCnSLCkF6fi0+iy6Xxs1CQ9N32CkmMKAsdmrM6pRdSWd1FbmKG03qe0uopftOh8fKTdbNEdCei66zk6nhhFYnN8Yd7BrofGYGUtY5QskFhpdrnEjhC7Jrm7RWawgVoW0gxY+Qaj0rzlF5/ill9+GvFD1ryxE2lGZizwBfCrb11MzxMxD/zjRe2xMICT3n4dP//e8x8nTdlN9gFPK6k5+F3gl6r6zdZj8nIicqmIlJmUiAxsZTeSmlOj9QrHbsRYkXLyW69l5RuuaYsApsKKmDDmMZ4wb5MbiOg/IjuhEnirtJFTHsvnOnvl5dzyi09hNSJym2tm283IhNeSzsXnnPQFzjrzCpxy0xgxVYJOk6Cb21jFGWkmF3Bh9FUd+B021cX5dnWHbL9PdnszkZSHNPocwryFU4+JMjZBXig9V0MiJbvV9LHyuz3C3jzWaIPK4oyR5ouQHQgZfVUH1cV56octIv/sMJnBBt6mEVNGyjKlqNxKTLPTQZoR2cGIoCeH3QTLT64qhTzWcBl1bJyyjxXGlPfLkdlSIbeuQnZDBXdrGW/QVIUvbmiS327GAkXBTT5DdYS4mCW/rjzBM/3JQ5ex7H/KE8awjrh4ospvpiWXJuf2tbysdugx5UVHmP1CDAAReT3wG+AnyfujpqrarqpXqGoJuGbSeFavql460/2lRusVSCuParoxK7sZExZs/E6Hk96+Y3Lyaa+/htNedzXFjYGRnY9j0ylZanNs1LbaRghAQsVuxG0RRpyxiXKuKTVlmf5RYcFFLfOzHC/Rrs/N4I400ayDujaadQg6M3hlI0+XGIrPjFKb5xBlbNQ11R+ijIU33KRZMhUjrDDGL9kU1zcoL8tTW1xo5zgVHt6KM1Bj9NAe3EqMFcDoiiJh3qKwsUHxuQpBwWL00B4QoblfN9nV/WQ2jCK+CXtm+32s/mEyW6omN03AbpqK7LWD+/CXzUEtkz9m10Ny/SHq2oRdWXAsiCKafTliz0EdU5BXxXwWdnnMa7XqAXHWaSdkt7zUyWNYv73++Yf0Uo9qFrAPeFrAZ4HXAsNgkpiB5dMs/+vxwo2kOeUbZ7qz1GilABDmLexGTG4gonO1P2Wi6c9+8GFzIZ7EL/7tQ9iN2ITJ5kF94VipH7/LI/Ysgk5j2JxKgFMJOPmt17ZrD1qREuXG9hcVEqPmWpx37GfxuxOlm0i7mrwERkIfFG0ywwG5LQ0ai4tkh01FB7se4ZRNn6ko69D9dINGj0VlkUdmOCQsuKZ6uSNUluQRBX+/XioHd5MZDvHKIYX1VUqrq5SeGcUKYpp9ObxyRK7fZ2RFAW9bleohcxk5oofyik4KzwzhbR5l5MSlxAWP/MY6xXUN7HqIt6WM5cc4laTlyohPsztDZnsNCWMkirn5vs8Qzu+i2WVTW5QDIDtoemA51cS4lTyCoilxNd5A3XrvJ5/3dz8VLyRVImUPMUMva297WkCoqiOTpk13VJ8Zv3zS12vHAdidkBqtVygnv9WoBMtLXMKM8UKmwmnE5Pr9HcKCd914CeoK6gpnnDdx3Gv5DyLiNwyy5o2Z9jRvyCfK2m1RBRhPK/Ys7HqIXY+IHTHiBMAKIpyKT5x1yfTXufe7H0IaIerY1OebC7pTDYkd44XEnkVu3ShW06zf7PHY/poO7CTsGGZt3KpS2BzgDTVwqgGxZ7yY7FCAN9zEboSoBUHRRiIlyjrY20aJcy5Rxia7uYK3rYbViOi5dzOVAzqJHWlXqB94bR+VQ/roeHKYMO8QZ22zf9tCPdMwsrJfAXfTMHHGxmlEWOUGUmvijDY572jzv+18ZJDSY4OoJQQlB7sRtccM3aEG2W219rjY7nLW6V+c8P7QS2/gkI+nicKzlniGj73LIyLyLsAWkRVJR+N7p1l+KrszY1Fgqh58BSKB4gQ7GqkoO/ZbyvWHNLtsvMrE5byRkDPOvapdULeFuTgLS25vosmYlrOoyqZTiux3U6MdEmwp4oobmqgjWEFMdXGW4joT+go6PZxqQJQzy1t+RJRzOO+4zxHnjLeW3dog7MgQOxbF9Q0zFpW1qC3MmHGlORmyW+tkt4E0I0SV5rwC3Q8PE2cdgq4MmY2jeEWXOGMEEN6WMnEhQ+npERAh7Mhgl31uWr3zfnVnnf5FLD9GVLHqAXYjg10PCbpzZJ8bxF/cRVDysIKYaE4et+xjNyxGj55PYX0Vq9xEPRvxI6TumzEMPyQuZbDKTcK8bRSNDZOX1uInD13G+UfttM3dtMc7frzxxHdeB8vS+9bZzCzwombCXwGfAJrAv2HGtr4wzfKrROR64MsYj+yvmKLT8c5If7GvcFZ99WKjuAuVet+OIUGVlqHZ8ady9w8vAYUoM3FelLXo/tsi+buK7WmbT/YIc1Y7b2rjaVk2nTLmiVUXGtGDN9xst9YAqC/IG9mvKn5vZqzsk9LO/XKqIfmNdTqerpDpbyZenUPs2YSdGaJihsyGUcorOpPjs/Hnl3ArAbktdbIbKqhjEnzVshg9qNMY2WlargC4Q3UsPyQsuoQdGcKCqboRdLiMHjkXb90glm9aoLj9ddS2qM3PUnyuglVuEndkwba56ckriTty3PTklfzk0cu55ZefJu7ImiRtX7H8GH9uAeIY9RzOP/wTbD+ue9pj2xlh0eHcEy/j3BMvwy9aZPvhsS+OjXud/LbrOPltL6zAcsoeZN8Y05qvqp9Q1eOSgryfVNXpciv+CvCB/8CoDuvAX8x0Z6mn9QpkV0nDjV7zs/AqpoLDeO645aOc/NZrOfmt1+KNRpB4Z1EmqcTeHBvPKmyOCIo2m08eM0LR2wYp39dLmAOnDiP7Z+h8tsnosgzF9SFR1sGtRG2V26lvuha1IPYcLD8mKjjYVSN6sOshEkYmz8u2iDMOsWfhDtZpzivgjjRBTPUNGyg9NkjckcUd8U3IzrbAj7j5wc9xwcEfI+7IYTWDHRRyFxz0UW56akfp/08eGlPunXnOlbgjPpXlJUqPDSKqxN1FnJEmEoY0F5qE/+xQAGGMBCGxa3HLL4w0vZVTdd5xRvmnGXO+mZEQux5gNUKw7SlzryZz7omXtQUax7/nen71Lya5PM7Y7e+zujhPz+O1CesdfNkNcIRF32/3frwphdlikGbCN0RkEXAfcDfwM1V9eGcLq2oV+JiIFFW1srPldkZqtFK4578+zMoLryE3YEJ82YGwbbgA0+Yjs6PXEeXMtMpCh8KWqC03R6Cy0NTdA5h7f8DW41wGDrPJAX0nb2ZOrspDaxfB+ixWENOxtmlCgmoSlVe+4Rru/tElWM2YoOjiDZu6ftl+n7DoYvkRjb4MmeEAy4+xGgFBdxan7BPlPbzBBhJEEEVY4/4WUdao8rxtVTPOBJx/1Kf5yZNXcv6hn0BFOO/oz2BVG21DNZXBOuekLxB7Ft6GITTjYXfmzHZHQ6Tpg2WZ/QNYlhkLa5qWIeo4U24TjPE677jP4Xd75NaXib0dq1pMx3F/eD28ugCYnKqW73z2yssh5+DUY5p9WZzGmGFqe1ZHWPQ+HJPt9znr9C9y250fB8bUpnf/cPqK/yl7nn0hPKiqK0XEA44DTgf+NzFIPVMtLyInYdqRFIGlInIk8H9V9c9nsr/UaKVMIMwJThXsprbvyieLNDIjYTsRtoXdiAmKNuqMeWbZfp+eaKLasPiVTta+UWEpxEMZtp8QUVrvtBOCY9fCCmPsRsypb7qWn/34I5z81mtxamZnEiuNPofChpDcloYRWeQd3CjGHWpQW1Ik/1wZUUUdC82Z5OXzD/8EP3n4cs4/8lMTPKTW2NCZ51zJ7Y9ezgWHfJyfjMtzanHBwR/jpifHyk6NV+udd/RnsEfqNBd1kH1uCGybuJSlsrxEx0PbdmqgLjjk49z02Jgw4pyTvsCt935yzOs6+jNtwzETzjvuc/RgDN9xf3A9FIT7vm68rJ/e/QmOf/f1WKGS3+oTOxZRzm4XRY48mLcqJBpX1PiY/2sEGsUd9pTykrEPGC0ROQU4NXl0Af8D/GyaVW4AzsN0TUZVHxKRlTPen+o+8KnMEo499lhdtWrV3j6MF43TXm/uqCVUwtxEz6q6wKZjXYiEJtcJTKPHY//YlPspbgwJinb7Dt6phNTmezgN00MrdizuvOkjrHzDNUbgUY55/eW38Q93nM3Sm2My/ab8U2OeGcvBkvY4mt9h4zQVpxwkRitDYX3VVLMIY0YOKtL5VIUo55jj80OI1IxJqU5oxzETzj/yUxDH/OThy2e8zgWHJMYliom68+38NKkHaG4sj03qAXFpbCyv5UVNNqYvlOP+4Hpyg1G7RNdZp3+RxpyM6dJcEPLbjWc8+GqP4saY6jyLjvUhG860KaxLCghXoLjZhGJ31VctZUdE5H5VPfb5rp+bv0QP/P2ZtQR65PqLX9C+XggiEgGrgCuAH6uqv4vlf6Wqx4vIg6p6dDLtIVU9cib7Sz2tlClp1SI87XVXE+aN8VAL4qyFhqZ1x8oLr4E5JgAlseKNhjQ7HTIj5kLnNEx9wfF4wz7eMDR7M/xp16P86ODD6d+4gEV3NomzNvVeC28IrEaEHQcEHRkyI4mxTOTwmeEATQyaJgrCxvw8TiXErvuEpYwJ1W2fOGYzU56P8RjvMU3H+Ud+ipEVxnfJDkftpGBKY+N+x/3B9fQ+OLzbpZha5a9u+eWnyQ1GSKBgC8f94fXUj8u1ux0XN4c0O236V9osuiskylhYAQwd4LDfj336D/PoWh3R7LRo9Nj8+htjF85T33QtP/vBzMqBpbxA9p0xrV7gZGAl8AERiYFfqOqndrL8+iREqElY8QPA4zPdWaoeTGlz142XcNeNl3DnTROFGk4tJr81ot5rt9V/LQqbwnY/JiApEGsRlBycWmSK1AK1ec6EzsTekM85H/0gPz7k38md2k/986PU5ntJC3pl9IA8t/zy0ziVALtqxAithNsoY+N3GW9FRZBQyWyvYzUjUMUpN3Eqgal+vgsF4EvJ+Yd/ArUsuh4Z4Vffupi7brwEu9pEVLErTc4/6tMc86c3UNwY0Jxb2KGB5nScdcYVRDmXW375ac449yrspKJ/ZtCnY3WD0oaYMGcMVlCwqM0V8puknUSeScYf/ZLN3PvrOFUzHlebKxz2kTSPa28gu/HYmyTJwauBNcBm4ACMAdsZf4pRCy4CNgBHsRvqwTQ8uBu83MOD03H6BVcjkWlXX++1KW708UtOUpbJantmx7/HhAtNpfKxC2G23yfKOaZNCaaB4vq/jPjg4bdTiz3+e+ORRLFF/cZ5FDZHZAcCags88pua3Hbnxzn3hM+jjt2WvAednlEBOkLQ6eENmIt/WHS5/daPAWZM6OYpxqdmE+cf+SnKB3W1SyaddYZJ4g5Kzm6H5Frr3nbHWBm3c076AuoIlSVZGt0Wbk0J8kLH+pCBQxwW/LxGeb8cYVYobE1UmUmId3wu3qGXGsP16BVppfeZ8kLDg/l5S/TAd80sPPjw3+zV8OCzwJPAPZixrF/tKkT4QkjDgykzRm2h3muT3xq2x5ta8vnWeBjd5s7dqUc0Ox1T4bwaE2dsrDBuj0OZ5OGIv3n4TP7z+H9kdc8c7li7AjlrhNE1HfQ8mqFjrU/QaarIW57dbtPQnGO8LIljYtslu6VGWPSwGyFWM+LslZfz07s/MesN1ilvvpaiCKWnRzjv2M8SJmNdTrmJ3+Vy1hlXUFlsprV6ok3m3BMvo7ooh1OLueuOiTVHz155OWGSrN1/lND7sOLUYmLbZstx5q+/9dg8Xhk61vrU5rtkh6K2KrTFWWdewXxgy/FZUl5a9gX1ILBCVXeZJ5FUytjpGanqB2ays9kTO0mZFRz+oRsm9FJqcedNH6He5yARBAWL6gKHgUN3TEZ2KzFeOW63ILEbkela7Mf4JQe/0yXKmkTep976KRb1DPOBp3+Pp0fnkP9xB0cv2Eh2+Sgfv/RbrH6ji1OLaHa51OdliXI2t977SdxyiFsOTWHdJFJgNSNUxBjHIDYS71mOU49pLChSW1ri5lWf5bY7LuW2Oy4lLGWIHVPCKTMS7dRgnfiu6ygvz2MHiro7Bol+evcnsBsRg4fm6fuNtlWgbi1m4c8DvFHoeSKguCWkutAltk23YrsRg9Ju0tnocWn0uKmXtTfYN5KLF4rID0Rkm4hsFZH/FJHFUyy3ClP5YmePGZEarRQAjvrLG3jV50wIqDbXXABf+77rJ9QVbF08Y09wK8r8X49FAO668ZK2RP5nP/gwYVaIXWnXzKvN93CrEU7V3MmrLZy98nLsz/Zwx5nX0fjSIvL9ZhzlqiP+C1ci3n7KL1n7RzGVhRa5rQ3sesQ5p1zObbdfitVIcqBECEse9flZMzZUN7X+7HrYTtSdrbjlALccTAgDnnf0Z7CaEcU1ZXKbqjsNEZ5x7lVk+0M6nq6Q21TbaQ6V1YzwRmOCvEVtnkVtno3tQ3mxS+ca00gzcgVvNG7XUQRzY9Li59//8Ix7saXsQZImkDN57GW+jpGvL8SMU92YTJvM2Umfra7xfbd21n9rZ6RjWrvBy3lM66i/NAbrN39/Ecu+ci3qKIt/IgRFi8LmoJ1sLCGoDbW5FvWVFcKNeVZ/YGIFiZYM3q0q2YGwLZGvzfPIDppxk9izuOvGiRfaVlPDTf+nybkHPsFpHU8C8JV1K6n+yyLCrPDAVy6a0EOq2Z3BG22Nk5lpM+0ZNVtpGdudVb846/QvYoXK5hPzANQWKqsvmuiNtVSJYcklylg49YhtR2WwElvfuSYiyIvpn6YkDTIteh5v0OxycepGENNqANlqT3Pvdz/U9sBaY4cpU/OCx7TmLtGD3j6zMa2HvrxXx7R+o6pHzWDaY8AFGAN3OpM0JKo6OKP9pUZr5rycjRbAkR+8gY61EevPg9wmG//QGr035dp3claoNEsWCHSu8Tn+mvu4Z9v+DNy9gHn3GcPx/7d373FSVVeix3+rqvoJNHTToC2ggMEIIYhCUNQQFUVjHA0TiehMdDQZEzO+wCfqJJlEMxIvkMmYBL2JYzIjUTPRq7kjMjwnMRoQUFFAIvJQBHk10M2jH1W15o+9q7u6u7otmmrqVLG+n099qN7n7FPnVDW9au+9zt6JzMPR35hJ6Y4Y0eIQkfo4f3jhLs6fMJ1otzCRg25ZkaifAip53aZxlz8CAmd9fxkAo7ptojRUz8F4EY/d9BUAYgUhCmsaiReEaOjl7oFq6O6O1X1LPaHGOPNfye3AlUpihvbGsgKKdxyirq/LpmzdGht7jQswRXtixIpDRA7ECDXGCTXG2fepEor3uMilIaGhe4hInXKwrwtYB6rczeAlu6JUn1pI5dt1LFw0jbO/OgMN0/SlQ+JqQesTZCJofXpSekHrzZ9lNWgtAJ7ETZYLcDVwvaqOb7XfrcBNwGDgI1oGLVXVwem8nnUPmhZqTgrT4y9her4fZ8CTBeweQdPcda/NuYOemxrotj3GweMK+P1vziEaC6Mja9n4FaG+lxvj+twNzWNiRXujRA7GWrxGrDhEqCFOYU20zUKDf3jxLj4aF+Z3C8YCMKRwO7e+dB2zPxiHTttJXXkB//PS3U1BqXBvI398/k6W/vtU130p8PGZpV32/hwtF539YPM9XN7CJfdxoF8RDT1Cbo7GmpZdi2deO7Mpe7Ow1mV1Fu5tJNQYp66ykPqKQnp8UE/BvkYkDg09XMByy7PEOXh8IYW1cYqrY8SKQlS+XUddRYGbkaQ+TuE+92Xj4HEFxIpbjmeOu/yRppZyssT5mE7KjTGtG4CvAh/7x5W+rAVV/YmqDgWeUNXBqjoo6ZFWwAJraR2WfG9pgVtmva4iRHG1a159PE4Z8LIbp/rCXz3SdINvtNStObX182Huu+I5nvpoDFsXDeCvJ/2RZ+Z+noJTaij/jb+Jdo9rhS2af29TN1OkPt70ny3VuM1pt82ioQz6j/+A0oirv6e+hC3byykqaWTtxLTXjMt5iczMSG0jC5fc1zTdU8LYa2Y0Le2yc2Qpbz46hbHXzCDU4BMvDrixq8iBKHuGFFNUEydeIJRub6R2gGupluyOU1fuugpLdsfY/ZkI3ba5+sV7YuyvilC22X0Oh/pEmpI6EpMLJ+aKbHHel/4ILZCmqaFSrYSczzcrZ6KldepX0mtpvTE7ey2tzvBTPw1R1X8TkUqgh6puTKeutbRMG8XV8aaVa09YKGw7u/nXJF4YYvG8e5r+0Jzwxxh9IjUUh6OcP3EFTy84l8+eu57Y6jLqr6+mz60bkVhzV9Krz97Bq8/eQTwsxCOpb4u8cNxD9HnjIOXr4pQV1hMSpaLoAACDqnYBMPT5f+KMm9K/6TXRcrngooebxmRyReKm78Q8hK1XKX5tTnMwSAQsgFAMIvWKRtwMJnUVBZTsdotthuuU+p4RwvVuvsn9J4QprFXKNtdTOyBC2ebm0f3kJI8lc++moYc0fY7gUvdbB6zPT/w/7BrRPH3Vn357ByOmzmLE1ObP7At/9Qg1J4Y546bUGavHPCUnFoEUkcEi8nsR2ekzCF8QkXZbTiLyXeAeIHGPRiHwH+m+ngUt00LyMuuJ531fVz71yEz+5/d3sflyGDzLZRX+4cW72DUiwj1PXM/qtSdSFHLjHW8tPxmG7qd2RSUAw2esYuQtqQPM3r+vbbNybiKRInTjdrYf7E5IlNW7qygvOkT3ggZO6bMTWVFGY0nz+M0nmf/qA8x/9QEWzb83r8ZiLhz3EBeOe4j5r9xPfUUhY6+eQTwsFO6NNc1eEjkQJR4W9vdzcziCS6SJlgqF++OEGlzSTLzA3YsHLhAue3Jq0xROK2dPYcncu5sm0U04969Tz9pR3zNE5apG0JYtrFUzpzD87llN3YZlH8Qo8AuNjrx5VlNCkPGzXWh6jyybg1sXqwqXQfhbmse3UpkIXA4cAFDVrUCPdF/MugcPw7HQPdiewbPcH5l4dzc+Neg/42ycLGy6/m6GPTCL8Ji9NK7sRek2IAQ932+g5qRCSna7/fvdtZ6d3xnYImCM+P13YLFbzHDVzCmcM2kGoai26S4a9v++B0BDg8tgvGDwe5xQvBeA5544D3BfSvuuPMTCJfc1ja0cS5O8jvk79/mUJma1qI813W7w8ZhCKt+JEYoqB/uEqSsXivcoNYOEyEEoqnbTOJV+7G5hWLhoWuoXOczzKa52n/0fXryLYffNYs0Pp3DabbMIRaH71hgNPULUnCSUbVKKamLUDIjw5qP5cy/YkXYPduszQE/9cnrdgyt/kdVEjKWqemarsj+r6lnt7L9MVceIyEpVPUNEuuHmKhyR1utZ0ErfsRy0wAWuDVOmMugpN12Q7i9g6NAPOfhwPwA2XQklHxRQuh26fRzjw8vjnDA3TCiqFN2ylcYfVxErkDb3/IyYOovx1y7l+aWj6bdAKN5ZT12fohbf0BP3ix2Yso/tW3sBcP2YP7GnsZSiUJQ/f2cMAPsGucBW+eYhgMNa2iOXXHSuu3l650iXdNJte5y4n9+mcJ8LFvsGF9B7jRvrqqsoIFKv7BoeoWSnUl8mhGLQc5Obi7D044aMBKtUEi3pynfcxMcA0W5hqk/1GZ8fKbFCdztDPslE0Bp6RXrvyYpf3pHNoPUwsBd4Gvf98SqgCPgptE1lF5E7gSHARbiZ4W8A5qjqv6bzejaNk0nbhilTOXnmTEIUET+unv7zoPSzjWz51gH0j73o86rS45otbH67Hw3dw1T+KUSsGA5UhKh9YQCVt38Is6qaJs5NpMfXnbOf/3r/M5w5Yj3LGodQvrqEkl0tO+pDfkXkaDxE7+Nr+GL/Nbz80TAAtu8sg0lRQjuKKKiFitVxDp7gpj9KZOC1HgfKdQ1lbryo54ZG8F16yatM155YAAI1JxXRUCb0+DDGzs+6saqG7iFKdymFtXEkTlMLq6us+aH7w5tYTBJcl+HQf3TBLDGpsmklGJmB6bjK//vNVuU34K6gaXxLRAR4BjgVqAE+DXxHVeen+2JZaWmJyCTge8BQYIyqLk/aNg34OhADblXVeb58FO5egBLgJeA2VVURKQJ+DYwCdgNXqeomX+c6IPHX6sHEXdciMgj3raACWAl8LZ0JHo/1llbCyTNn8v7UqQye4+4bOn3gFlauPJm+y4TqocL4CStZ/NIZVKxJLOwo1FUIb/14SlOLadvZhbz73ZbfIscvdl0hG1b3Y+PNbTPNRv29+yN36jfWsHrX8QDs29ALAC1Q+v+322/751w6tvqs7AEL3EcbanCBL5daX+dc6caMDndGipG3zGq6v67sgyiR/a7bcM8pbv7AlY9NacpKbH2Td1f6wqU/apqvMuGMb7nP1VpaLXWrHKDDLk/vPVn+b9lraR0u/76M6nT9LAWtobicl8eAOxNBS0SG4QbwxuAG9BYAp6hqTESWAbcBf8YFrZ+o6lwR+TYwQlW/JSKTgYmqepWIVODmuhqNi/YrgFGqukdEngWeU9WnRWQ28Jaq/vyTztuCVluD5/yQHstK2H+i0v0DobhaOVTpvjn3fqehxUzhCedfPJ2R098A4Lnlo9j8jfT+aCaCVn0v93PkvGr27SnluD41HJrbF4Dak9zvc7x7jEjPeiKROA0futT7Dbe5oJivra/Wxl7tklRe+03bLwCm62UiaH3msvSC1uu/yqmg9VPgSVV9vVP1szmmJSJLaBm0pgGo6j/7n+fhWmSbgMWqeqovvxo4T1W/mdhHVV8TkQju5rY+wOTEPr7OY8ASXAtrJ3C8qkZFZKyvf/Enna8FrdROu7054+utH7v/ZCOmzmLVzI7/w015czIb9leyalM/+s4randi2NaG3+Ve79Dx7nd34P93qx7vOaWYhjK3z8HT3ZhWj2Vu1ojaQYrEIHJAqFzlmiCp7hsyJlMyErS+lGbQ+nVOBa01wCnAZlwGoeBmxEgrESNoY1r9cC2phC2+rNE/b12eqPMhgA9C+3AraTaVt6rTG9irqtEUx2pDRG4EbgQ48cQTO3VR+S4RqJJ9UsACmDXyaa545WZGDPyIVRf34+RnHqLfnMJ2J39NpLe/M+cOzpk0g56bYOuXG3j/Kj++sxbCDbBvVANEw/TqvZ/4eJeIEDrkpieKxkN8PAROfCLM+ROmp2wJGhMIwUhn7wpfPJLKXRa0/HxUx6fYdL+qvtBetRRl2kF5Z+p0dKy2G1QfBx4H19Jqbz/TOS+c+ygAE8UtXLrqmhP4wqUuUSN57OPkGTNhlPvoBj45Hb4EGg0hjSEojkFdmH2nxuixPkzxRheg9tINgF69D9C9Wz0NjWFib/cEYMv57riJ1YHzdVYGk+MC/BdHRM7oaLuqrmynfPORvG6XBS1VvbAT1bYAA5J+7g9s9eX9U5Qn19niuwd7AtW+/LxWdZYAu4BeIhLxra3kY5ksef6cnwLw6R/M4uOxHe972qdcA/qtDe5XQkJK6SYXqPYPcl1/4UNCxZ/8oooTawCoWV8OZYr2dt2JJe8WEy1xgdCClwmaxM3FAdbRnf0KXNAVLxq07sEXgTkiMhOXiDEEWOYTMWpF5CxgKXAt8K9Jda4DXsNN1LjIZxXOA34oIuV+vwnANL9tsd/3aV+3vZafOcrW/WPqbsX373DjXVe8cnNTmUbdfT795oaBOLFCKNrnylzKvLLtXEH2uRZX4i+ANrq0wrreSl1vQfu4IFa8rphhD7jxsjUP5lcmm8lNEs9s1BKRMC5B7SNVvcwnrD0DDMTlDnxVVfekcyxVPT+jJ5emrAQtEZmICzp9gP/ya69crKqrfWbfGiAK/IOqJqYIv4nmlPe5/gHwS+DfRWQ9roU1GdwNbSLyAyCRofL9pJvc7gGeFpEHgTf8MUwOSHQnnvTEj5rKdg93gUr8KGW4DqpHuv/skXKXkBHdVwQlcaQuRPFmNwZWP8SNd2mjq9/okgzpuyLO2V+d0TS3njFZ0TX3ad0GrAV8yhL3AgtV9WERudf/fNgDvSIyHBgGFCfKVPXXR366bWUlaKnq88Dz7Wx7CGizVrrPMByeorwOmNTOsZ4AnkhRvgGXVm9y1OYb3HhXInOxdEfzzcgH+4TouSZM7WAlvs3NGFFw0HUDikK8EIacu5HVb5/kKoTcX4ayDe7HxKz0xmRbJlclFpH+wJdwf18TqbpX0DyM8ivcEMphBS0/Ae55uKD1Ei7R4hXc/bMZF7TuQWMOSyJz8ay/cd3rsSKhsNYFoQELXCM9UtschPYMdSnwa946CQE23nJHU5dg+TrXKvvoPLfPOZPcMS013mRN+i2tShFJvh/ncZ9EluzHwN20nJz2OFXdBqCq20SkbyfO8krgNOANVb1eRI4DftGJ46TFgpbJC8mz0yeMv8DNkZhqBoxTHnSBatCjM+B4GPhilHihG+t693suEObaEiYm/xxGIsauju7TEpHLgB2qukJEzjvyM2vhkKrGRSQqImXADpKmbso0C1omb3U0AexfHmiZaPHZjW2XxMinJUxMDlIgc5M/nANcLiKX4sadykTkP4DtIlLlW1lVuIBzuJaLSC/g/+JmHtoPLMvQebdhQcsY4O0Zli1ogidTY1qqOg2/6KJvad2pqn8rIo/gMqgfppOZ1Kr6bf90toi8DJSp6qpMnHcqtgikMcYE0FFaBPJh4CIReQ+3VMhh94mLyMLEc1XdpKqrkssyzVpaxhgTRKqZ7B5MOqwuwWUJoqq7gfGdOY6IFAOluCSQcppnGyrD3WfbJSxoGWNMQAV8RoxvArfjAlTylE01+AUgu4IFLWOMCaoABy1V/RfgX0TklnRXHc4EC1rGGBNQAW9pJTwmIrcC4/zPS4DHVLVL7tK3oGWMMUGkQCwnotbPgAL/L8DXgJ8D3+iKF7OgZYwxARXkllbSShmfU9XTkjYtEpG3uup1LeXdGGOCKpFB+EmP7EjcQBwTkZMThSIyGIilrnLkrKVljDEBFeSWFs0p7ncCi0XETznNQOD6rnpRC1rGGBNEXbM0SSb1EZHEbPGPAWHgAG6aqNOBxV3xoha0jDEmgASQYCdihIHuNLe48D9Dy5nkM8qCljHGBJRkb7wqHdtU9ftH+0UtaBljTBAFv3tQPnmXzLOgZYwxgZTVzMB0dGrOwiNlQcsYYwIqyNmDqlqdjde1oGWMMUEV7JZWVljQMsaYINLAZw9mhQUtY4wJKotZbVjQMsaYgAp4yntWWNAyxpigsqDVhgUtY4wJIgXi2T6J4LGgZYwxASSodQ+mYEHLGGOCKm5NrdYsaBljTBBZ92BKFrSMMSagrHuwLQtaxhgTVBa02rCgZYwxgRT4CXOzwoKWMcYEkQI2jVMbFrSMMSagbEyrLQtaxhgTVBa02rCgZYwxQaRA3IJWaxa0jDEmkCwRIxULWsYYE1QWtNoIZeNFReQREXlXRFaJyPMi0itp2zQRWS8i60Tk4qTyUSLytt/2ExERX14kIs/48qUiMjCpznUi8p5/XJdUPsjv+56vW3h0rtwYY9KkQCye3uMYkpWgBcwHhqvqCOAvwDQAERkGTAY+A1wC/ExEwr7Oz4EbgSH+cYkv/zqwR1U/BcwCpvtjVQDfBc4ExgDfFZFyX2c6MEtVhwB7/DGMMSZAFDSe3uMYkpWgpar/rapR/+Ofgf7++RXA06par6obgfXAGBGpAspU9TVVVeDXwJeT6vzKP/9PYLxvhV0MzFfValXdgwuUl/htF/h98XUTxzLGmOBQTe9xDMlWSyvZDcBc/7wf8GHSti2+rJ9/3rq8RR0fCPcBvTs4Vm9gb1LQTD5WGyJyo4gsF5HlO3fuPOyLM8aYTklkD6bzOIZ0WSKGiCwAjk+x6X5VfcHvcz8QBZ5KVEuxv3ZQ3pk6HR2r7QbVx4HHAUaPHn1s/XYYY7LrGGtFpaPLgpaqXtjRdp8YcRkw3nf5gWv1DEjarT+w1Zf3T1GeXGeLiESAnkC1Lz+vVZ0lwC6gl4hEfGsr+VjGGBMcFrTayFb24CXAPcDlqnowadOLwGSfETgIl3CxTFW3AbUicpYfk7oWeCGpTiIz8EpgkQ+C84AJIlLuEzAmAPP8tsV+X3zdxLGMMSYYVCEWS+9xDMnWmNajQA9gvoi8KSKzAVR1NfAssAZ4GfgHVU18IjcBv8AlZ7xP8zjYL4HeIrIemArc649VDfwAeN0/vu/LwAXMqb5Ob38MY4wJlgwlYojIABFZLCJrRWS1iNzmyytEZL6//Wd+UoZ1YIla8zNto0eP1uXLl2f7NIwxOUBEVqjq6M7W71nQV8+u+Epa+768Y3aHr+UzsKtUdaWI9ABW4LKm/w6oVtWHReReoFxV7+nsOR8NQcgeNMYY00aamYNpZA+q6jZVXemf1wJrcVnTybcM5cTtPzaNkzHGBJGCpn/jcKWIJHcDPe4zn9vwswadDiwFjvM5A6jqNhHpewRnfFRY0DLGmKBKf4qmXel0RYpId+B3wO2qWuNnw8spFrSMMSaIVCGeuSmaRKQAF7CeUtXnfPF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| |
| "text/plain": [ | |
| "<Figure size 432x288 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "swp0.DBTH.plot(x=\"x\", y=\"y\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Read via xarray\n", | |
| "\n", | |
| "Via `xarray.open_dataset` one can open a specific group (sweep) of the file" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "ds = xr.open_dataset(filename, engine=\"rainbow\", group=0, backend_kwargs=dict(reindex_angle=False))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
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| "}\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'><xarray.Dataset>\n", | |
| "Dimensions: (azimuth: 187, range: 480)\n", | |
| "Coordinates:\n", | |
| " * azimuth (azimuth) float64 225.1 227.0 229.0 230.9 ... 220.5 222.4 224.4\n", | |
| " elevation (azimuth) float64 0.5 0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5 0.5\n", | |
| " * range (range) float32 250.0 750.0 1.25e+03 ... 2.392e+05 2.398e+05\n", | |
| " time datetime64[ns] 2017-03-07T00:00:03\n", | |
| " rtime (azimuth) datetime64[ns] 2017-03-07T00:00:03.047500 ... 2017-...\n", | |
| " longitude float64 102.6\n", | |
| " latitude float64 15.18\n", | |
| " altitude float64 256.0\n", | |
| " sweep_mode <U20 'azimuth_surveillance'\n", | |
| "Data variables:\n", | |
| " DBTH (azimuth, range) float32 58.0 86.5 80.5 82.0 ... nan nan nan nan\n", | |
| "Attributes:\n", | |
| " fixed_angle: 0.5</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6b245926-2b78-45b2-a13a-032f044aeffc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6b245926-2b78-45b2-a13a-032f044aeffc' 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'>azimuth</span>: 187</li><li><span class='xr-has-index'>range</span>: 480</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-63a99fdb-22ad-44ef-9ac7-adfa92e43ecd' class='xr-section-summary-in' type='checkbox' checked><label for='section-63a99fdb-22ad-44ef-9ac7-adfa92e43ecd' class='xr-section-summary' >Coordinates: <span>(9)</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'>azimuth</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>225.1 227.0 229.0 ... 222.4 224.4</div><input id='attrs-10798646-f4f5-44c0-a211-f989ec0ea497' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10798646-f4f5-44c0-a211-f989ec0ea497' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83f4c94b-721c-4e18-9705-8329b2c6f43b' class='xr-var-data-in' type='checkbox'><label for='data-83f4c94b-721c-4e18-9705-8329b2c6f43b' title='Show/Hide data repr'><svg 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>ray_azimuth_angle</dd><dt><span>long_name :</span></dt><dd>azimuth_angle_from_true_north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_azimuth_coordinate</dd><dt><span>a1gate :</span></dt><dd>116</dd><dt><span>angle_res :</span></dt><dd>1.9</dd></dl></div><div class='xr-var-data'><pre>array([2.251236e+02, 2.270490e+02, 2.289880e+02, 2.309161e+02, 2.328442e+02,\n", | |
| " 2.347806e+02, 2.367114e+02, 2.386505e+02, 2.405759e+02, 2.425095e+02,\n", | |
| " 2.444293e+02, 2.463739e+02, 2.482993e+02, 2.502356e+02, 2.521719e+02,\n", | |
| " 2.541000e+02, 2.560281e+02, 2.579645e+02, 2.598926e+02, 2.618234e+02,\n", | |
| " 2.637598e+02, 2.656879e+02, 2.676242e+02, 2.695496e+02, 2.714859e+02,\n", | |
| " 2.734140e+02, 2.753476e+02, 2.772702e+02, 2.792038e+02, 2.811319e+02,\n", | |
| " 2.830682e+02, 2.850046e+02, 2.869327e+02, 2.888608e+02, 2.907861e+02,\n", | |
| " 2.927252e+02, 2.946533e+02, 2.965897e+02, 2.985150e+02, 3.004514e+02,\n", | |
| " 3.023767e+02, 3.043158e+02, 3.062411e+02, 3.081720e+02, 3.100946e+02,\n", | |
| " 3.120309e+02, 3.139618e+02, 3.159009e+02, 3.178372e+02, 3.197653e+02,\n", | |
| " 3.216907e+02, 3.236215e+02, 3.255579e+02, 3.274860e+02, 3.294250e+02,\n", | |
| " 3.313531e+02, 3.332895e+02, 3.352148e+02, 3.371457e+02, 3.390820e+02,\n", | |
| " 3.410101e+02, 3.429382e+02, 3.448773e+02, 3.468027e+02, 3.487418e+02,\n", | |
| " 3.506699e+02, 3.526089e+02, 3.545316e+02, 3.564597e+02, 3.583960e+02,\n", | |
| " 3.213501e-01, 2.257690e+00, 4.188538e+00, 6.122131e+00, 8.050232e+00,\n", | |
| " 9.978333e+00, 1.191467e+01, 1.384552e+01, 1.577637e+01, 1.771271e+01,\n", | |
| " 1.963806e+01, 2.157166e+01, 2.349701e+01, 2.543610e+01, 2.735596e+01,\n", | |
| " 2.929230e+01, 3.122314e+01, 3.315674e+01, 3.509308e+01, 3.702118e+01,\n", | |
| " 3.894928e+01, 4.088287e+01, 4.281097e+01, 4.475006e+01, 4.668091e+01,\n", | |
| " 4.860901e+01, 5.054260e+01, 5.246796e+01, 5.440430e+01, 5.633240e+01,\n", | |
| " 5.827148e+01, 6.019409e+01, 6.212769e+01, 6.405853e+01, 6.599762e+01,\n", | |
| " 6.793396e+01, 6.986206e+01, 7.178741e+01, 7.372375e+01, 7.565460e+01,\n", | |
| " 7.758545e+01, 7.952179e+01, 8.144714e+01, 8.338348e+01, 8.531158e+01,\n", | |
| " 8.724792e+01, 8.917603e+01, 9.111237e+01, 9.303223e+01, 9.496582e+01,\n", | |
| " 9.689392e+01, 9.883026e+01, 1.007693e+02, 1.026974e+02, 1.046255e+02,\n", | |
| " 1.065509e+02, 1.084900e+02, 1.104181e+02, 1.123544e+02, 1.142798e+02,\n", | |
| " 1.162161e+02, 1.181442e+02, 1.200806e+02, 1.220087e+02, 1.239368e+02,\n", | |
| " 1.258621e+02, 1.277957e+02, 1.297293e+02, 1.316629e+02, 1.335938e+02,\n", | |
| " 1.355273e+02, 1.374554e+02, 1.393863e+02, 1.413199e+02, 1.432507e+02,\n", | |
| " 1.451871e+02, 1.471152e+02, 1.490515e+02, 1.509824e+02, 1.529105e+02,\n", | |
| " 1.548468e+02, 1.567749e+02, 1.587003e+02, 1.606393e+02, 1.625674e+02,\n", | |
| " 1.645065e+02, 1.664346e+02, 1.683737e+02, 1.703018e+02, 1.722272e+02,\n", | |
| " 1.741635e+02, 1.760916e+02, 1.780225e+02, 1.799533e+02, 1.818814e+02,\n", | |
| " 1.838177e+02, 1.857486e+02, 1.876822e+02, 1.896075e+02, 1.915384e+02,\n", | |
| " 1.934747e+02, 1.954001e+02, 1.973364e+02, 1.992645e+02, 2.012009e+02,\n", | |
| " 2.031180e+02, 2.050571e+02, 2.069852e+02, 2.089188e+02, 2.108551e+02,\n", | |
| " 2.127859e+02, 2.147113e+02, 2.166449e+02, 2.185757e+02, 2.205121e+02,\n", | |
| " 2.224402e+02, 2.243710e+02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-419cd869-42f1-4e6c-8368-0db45f6434bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-419cd869-42f1-4e6c-8368-0db45f6434bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc27a18f-1890-4dc5-bff5-65fa993bfa24' class='xr-var-data-in' type='checkbox'><label for='data-bc27a18f-1890-4dc5-bff5-65fa993bfa24' title='Show/Hide data repr'><svg 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>ray_elevation_angle</dd><dt><span>long_name :</span></dt><dd>elevation_angle_from_horizontal_plane</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_elevation_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", | |
| " 0.5, 0.5, 0.5, 0.5, 0.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>250.0 750.0 ... 2.392e+05 2.398e+05</div><input id='attrs-fe1aa1f8-d730-4089-a89f-f295b1e75928' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe1aa1f8-d730-4089-a89f-f295b1e75928' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56d38ab6-7008-4f4a-93e1-17ba25a9cd97' class='xr-var-data-in' type='checkbox'><label for='data-56d38ab6-7008-4f4a-93e1-17ba25a9cd97' title='Show/Hide data repr'><svg 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>meters</dd><dt><span>standard_name :</span></dt><dd>projection_range_coordinate</dd><dt><span>long_name :</span></dt><dd>range_to_measurement_volume</dd><dt><span>spacing_is_constant :</span></dt><dd>true</dd><dt><span>axis :</span></dt><dd>radial_range_coordinate</dd><dt><span>meters_to_center_of_first_gate :</span></dt><dd>250.0</dd><dt><span>meters_between_gates :</span></dt><dd>500.0</dd></dl></div><div class='xr-var-data'><pre>array([ 250., 750., 1250., ..., 238750., 239250., 239750.],\n", | |
| " dtype=float32)</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'>...</div><input id='attrs-c11479e6-6cd4-454e-8436-bace3857f426' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c11479e6-6cd4-454e-8436-bace3857f426' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfb5ec69-14e9-4017-ac24-e5de53202a91' class='xr-var-data-in' type='checkbox'><label for='data-cfb5ec69-14e9-4017-ac24-e5de53202a91' title='Show/Hide data repr'><svg 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></dl></div><div class='xr-var-data'><pre>array('2017-03-07T00:00:03.000000000', dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rtime</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c560fcc3-b873-4182-a02d-01e00a572200' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c560fcc3-b873-4182-a02d-01e00a572200' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd9a1275-c052-4980-8af1-20b26be5f9c1' class='xr-var-data-in' type='checkbox'><label for='data-fd9a1275-c052-4980-8af1-20b26be5f9c1' title='Show/Hide data repr'><svg 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></dl></div><div class='xr-var-data'><pre>array(['2017-03-07T00:00:03.047500000', '2017-03-07T00:00:03.142500000',\n", | |
| " '2017-03-07T00:00:03.237500000', '2017-03-07T00:00:03.332500000',\n", | |
| " '2017-03-07T00:00:03.427500000', '2017-03-07T00:00:03.522499999',\n", | |
| " '2017-03-07T00:00:03.617499999', '2017-03-07T00:00:03.712500000',\n", | |
| " '2017-03-07T00:00:03.807500000', '2017-03-07T00:00:03.902500000',\n", | |
| " '2017-03-07T00:00:03.997500000', '2017-03-07T00:00:04.092499999',\n", | |
| " '2017-03-07T00:00:04.187500000', '2017-03-07T00:00:04.282500000',\n", | |
| " '2017-03-07T00:00:04.377500000', '2017-03-07T00:00:04.472500000',\n", | |
| " '2017-03-07T00:00:04.567500000', '2017-03-07T00:00:04.662500000',\n", | |
| " '2017-03-07T00:00:04.757499999', '2017-03-07T00:00:04.852500000',\n", | |
| " '2017-03-07T00:00:04.947500000', '2017-03-07T00:00:05.042500000',\n", | |
| " '2017-03-07T00:00:05.137500000', '2017-03-07T00:00:05.232500000',\n", | |
| " '2017-03-07T00:00:05.327499999', '2017-03-07T00:00:05.422500000',\n", | |
| " '2017-03-07T00:00:05.517500000', '2017-03-07T00:00:05.612500000',\n", | |
| " '2017-03-07T00:00:05.707500000', '2017-03-07T00:00:05.802500000',\n", | |
| " '2017-03-07T00:00:05.897500000', '2017-03-07T00:00:05.992499999',\n", | |
| " '2017-03-07T00:00:06.087500000', '2017-03-07T00:00:06.182500000',\n", | |
| " '2017-03-07T00:00:06.277500000', '2017-03-07T00:00:06.372500000',\n", | |
| " '2017-03-07T00:00:06.467500000', '2017-03-07T00:00:06.562500000',\n", | |
| " '2017-03-07T00:00:06.657499999', '2017-03-07T00:00:06.752500000',\n", | |
| " '2017-03-07T00:00:06.847500000', '2017-03-07T00:00:06.942500000',\n", | |
| " '2017-03-07T00:00:07.037499999', '2017-03-07T00:00:07.132500000',\n", | |
| " '2017-03-07T00:00:07.227500000', '2017-03-07T00:00:07.322500000',\n", | |
| " '2017-03-07T00:00:07.417500000', '2017-03-07T00:00:07.512499999',\n", | |
| " '2017-03-07T00:00:07.607500000', '2017-03-07T00:00:07.702500000',\n", | |
| " '2017-03-07T00:00:07.797499999', '2017-03-07T00:00:07.892500000',\n", | |
| " '2017-03-07T00:00:07.987500000', '2017-03-07T00:00:08.082500000',\n", | |
| " '2017-03-07T00:00:08.177500000', '2017-03-07T00:00:08.272500000',\n", | |
| " '2017-03-07T00:00:08.367500000', '2017-03-07T00:00:08.462500000',\n", | |
| " '2017-03-07T00:00:08.557500000', '2017-03-07T00:00:08.652500000',\n", | |
| " '2017-03-07T00:00:08.747500000', '2017-03-07T00:00:08.842499999',\n", | |
| " '2017-03-07T00:00:08.937500000', '2017-03-07T00:00:09.032500000',\n", | |
| " '2017-03-07T00:00:09.127499999', '2017-03-07T00:00:09.222500000',\n", | |
| " '2017-03-07T00:00:09.317500000', '2017-03-07T00:00:09.412500000',\n", | |
| " '2017-03-07T00:00:09.507500000', '2017-03-07T00:00:09.602500000',\n", | |
| " '2017-03-07T00:00:09.697500000', '2017-03-07T00:00:09.792500000',\n", | |
| " '2017-03-07T00:00:09.887499999', '2017-03-07T00:00:09.982500000',\n", | |
| " '2017-03-07T00:00:10.077500000', '2017-03-07T00:00:10.172499999',\n", | |
| " '2017-03-07T00:00:10.267500000', '2017-03-07T00:00:10.362500000',\n", | |
| " '2017-03-07T00:00:10.457500000', '2017-03-07T00:00:10.552500000',\n", | |
| " '2017-03-07T00:00:10.647500000', '2017-03-07T00:00:10.742500000',\n", | |
| " '2017-03-07T00:00:10.837500000', '2017-03-07T00:00:10.932500000',\n", | |
| " '2017-03-07T00:00:11.027500000', '2017-03-07T00:00:11.122499999',\n", | |
| " '2017-03-07T00:00:11.217500000', '2017-03-07T00:00:11.312500000',\n", | |
| " '2017-03-07T00:00:11.407499999', '2017-03-07T00:00:11.502500000',\n", | |
| " '2017-03-07T00:00:11.597500000', '2017-03-07T00:00:11.692499999',\n", | |
| " '2017-03-07T00:00:11.787500000', '2017-03-07T00:00:11.882500000',\n", | |
| " '2017-03-07T00:00:11.977500000', '2017-03-07T00:00:12.072500000',\n", | |
| " '2017-03-07T00:00:12.167500000', '2017-03-07T00:00:12.262500000',\n", | |
| " '2017-03-07T00:00:12.357500000', '2017-03-07T00:00:12.452500000',\n", | |
| " '2017-03-07T00:00:12.547500000', '2017-03-07T00:00:12.642500000',\n", | |
| " '2017-03-07T00:00:12.737500000', '2017-03-07T00:00:12.832500000',\n", | |
| " '2017-03-07T00:00:12.927500000', '2017-03-07T00:00:13.022500000',\n", | |
| " '2017-03-07T00:00:13.117500000', '2017-03-07T00:00:13.212499999',\n", | |
| " '2017-03-07T00:00:13.307500000', '2017-03-07T00:00:13.402500000',\n", | |
| " '2017-03-07T00:00:13.497499999', '2017-03-07T00:00:13.592500000',\n", | |
| " '2017-03-07T00:00:13.687500000', '2017-03-07T00:00:13.782499999',\n", | |
| " '2017-03-07T00:00:13.877500000', '2017-03-07T00:00:13.972500000',\n", | |
| " '2017-03-07T00:00:14.067499999', '2017-03-07T00:00:14.162500000',\n", | |
| " '2017-03-07T00:00:14.257500000', '2017-03-07T00:00:14.352500000',\n", | |
| " '2017-03-07T00:00:14.447500000', '2017-03-07T00:00:14.542500000',\n", | |
| " '2017-03-07T00:00:14.637500000', '2017-03-07T00:00:14.732500000',\n", | |
| " '2017-03-07T00:00:14.827500000', '2017-03-07T00:00:14.922500000',\n", | |
| " '2017-03-07T00:00:15.017500000', '2017-03-07T00:00:15.112500000',\n", | |
| " '2017-03-07T00:00:15.207500000', '2017-03-07T00:00:15.302500000',\n", | |
| " '2017-03-07T00:00:15.397500000', '2017-03-07T00:00:15.492500000',\n", | |
| " '2017-03-07T00:00:15.587499999', '2017-03-07T00:00:15.682500000',\n", | |
| " '2017-03-07T00:00:15.777500000', '2017-03-07T00:00:15.872499999',\n", | |
| " '2017-03-07T00:00:15.967500000', '2017-03-07T00:00:16.062500000',\n", | |
| " '2017-03-07T00:00:16.157499999', '2017-03-07T00:00:16.252500000',\n", | |
| " '2017-03-07T00:00:16.347500000', '2017-03-07T00:00:16.442499999',\n", | |
| " '2017-03-07T00:00:16.537500000', '2017-03-07T00:00:16.632500000',\n", | |
| " '2017-03-07T00:00:16.727500000', '2017-03-07T00:00:16.822500000',\n", | |
| " '2017-03-07T00:00:16.917500000', '2017-03-07T00:00:17.012500000',\n", | |
| " '2017-03-07T00:00:17.107500000', '2017-03-07T00:00:17.202500000',\n", | |
| " '2017-03-07T00:00:17.297500000', '2017-03-07T00:00:17.392500000',\n", | |
| " '2017-03-07T00:00:17.487500000', '2017-03-07T00:00:17.582500000',\n", | |
| " '2017-03-07T00:00:17.677500000', '2017-03-07T00:00:17.772500000',\n", | |
| " '2017-03-07T00:00:17.867500000', '2017-03-07T00:00:17.962499999',\n", | |
| " '2017-03-07T00:00:18.057500000', '2017-03-07T00:00:18.152500000',\n", | |
| " '2017-03-07T00:00:18.247499999', '2017-03-07T00:00:18.342500000',\n", | |
| " '2017-03-07T00:00:18.437500000', '2017-03-07T00:00:18.532499999',\n", | |
| " '2017-03-07T00:00:18.627500000', '2017-03-07T00:00:18.722500000',\n", | |
| " '2017-03-07T00:00:18.817499999', '2017-03-07T00:00:18.912500000',\n", | |
| " '2017-03-07T00:00:19.007500000', '2017-03-07T00:00:19.102500000',\n", | |
| " '2017-03-07T00:00:19.197499999', '2017-03-07T00:00:19.292500000',\n", | |
| " '2017-03-07T00:00:19.387500000', '2017-03-07T00:00:19.482500000',\n", | |
| " '2017-03-07T00:00:19.577500000', '2017-03-07T00:00:19.672500000',\n", | |
| " '2017-03-07T00:00:19.767499999', '2017-03-07T00:00:19.862500000',\n", | |
| " '2017-03-07T00:00:19.957500000', '2017-03-07T00:00:20.052500000',\n", | |
| " '2017-03-07T00:00:20.147500000', '2017-03-07T00:00:20.242500000',\n", | |
| " '2017-03-07T00:00:20.337500000', '2017-03-07T00:00:20.432500000',\n", | |
| " '2017-03-07T00:00:20.527500000', '2017-03-07T00:00:20.622500000',\n", | |
| " '2017-03-07T00:00:20.717500000'], dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-48d5e14a-6c61-4050-98ed-0de8ddbc0e36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48d5e14a-6c61-4050-98ed-0de8ddbc0e36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7329106d-1523-41ad-afd0-cc81cebcf421' class='xr-var-data-in' type='checkbox'><label for='data-7329106d-1523-41ad-afd0-cc81cebcf421' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array(102.56416)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-633be48e-7d15-4f4f-a5dc-c536471b8414' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-633be48e-7d15-4f4f-a5dc-c536471b8414' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2eaf3ca8-1dfa-47b2-be71-a2def8261650' class='xr-var-data-in' type='checkbox'><label for='data-2eaf3ca8-1dfa-47b2-be71-a2def8261650' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array(15.18194)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>altitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6af0315-220d-4913-9ffc-e908d50706b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6af0315-220d-4913-9ffc-e908d50706b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea1af443-ce3d-431b-8535-21043bd9f982' class='xr-var-data-in' type='checkbox'><label for='data-ea1af443-ce3d-431b-8535-21043bd9f982' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>standard_name :</span></dt><dd>altitude</dd></dl></div><div class='xr-var-data'><pre>array(256.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_mode</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'><U20</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f712364d-5c8b-4eb5-aaaa-b1fcc81dab06' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f712364d-5c8b-4eb5-aaaa-b1fcc81dab06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c613c241-ce19-4f71-901e-cf9c2ef3393f' class='xr-var-data-in' type='checkbox'><label for='data-c613c241-ce19-4f71-901e-cf9c2ef3393f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array('azimuth_surveillance', dtype='<U20')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-882675fc-5b06-4fff-a169-3c59e8a59b44' class='xr-section-summary-in' type='checkbox' checked><label for='section-882675fc-5b06-4fff-a169-3c59e8a59b44' class='xr-section-summary' >Data variables: <span>(1)</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>DBTH</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-916209e5-aa76-4361-9e6c-23a8b163c23f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-916209e5-aa76-4361-9e6c-23a8b163c23f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-336b8c98-4e2c-4e4c-bed8-0ff15bd5778f' class='xr-var-data-in' type='checkbox'><label for='data-336b8c98-4e2c-4e4c-bed8-0ff15bd5778f' title='Show/Hide data repr'><svg 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>dBZ</dd><dt><span>standard_name :</span></dt><dd>radar_equivalent_reflectivity_factor_h</dd><dt><span>long_name :</span></dt><dd>Total power H (uncorrected reflectivity)</dd></dl></div><div class='xr-var-data'><pre>array([[58. , 86.5, 80.5, ..., nan, nan, nan],\n", | |
| " [59. , 84. , 64. , ..., nan, nan, nan],\n", | |
| " [55. , 57.5, 80.5, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [58.5, 84. , 83.5, ..., nan, nan, nan],\n", | |
| " [59. , 86.5, 80. , ..., nan, nan, nan],\n", | |
| " [58. , 88. , 83. , ..., nan, nan, nan]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5824770c-3d07-4e27-82f8-8ebbd565bbc1' class='xr-section-summary-in' type='checkbox' checked><label for='section-5824770c-3d07-4e27-82f8-8ebbd565bbc1' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>fixed_angle :</span></dt><dd>0.5</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset>\n", | |
| "Dimensions: (azimuth: 187, range: 480)\n", | |
| "Coordinates:\n", | |
| " * azimuth (azimuth) float64 225.1 227.0 229.0 230.9 ... 220.5 222.4 224.4\n", | |
| " elevation (azimuth) float64 ...\n", | |
| " * range (range) float32 250.0 750.0 1.25e+03 ... 2.392e+05 2.398e+05\n", | |
| " time datetime64[ns] ...\n", | |
| " rtime (azimuth) datetime64[ns] ...\n", | |
| " longitude float64 ...\n", | |
| " latitude float64 ...\n", | |
| " altitude float64 ...\n", | |
| " sweep_mode <U20 ...\n", | |
| "Data variables:\n", | |
| " DBTH (azimuth, range) float32 ...\n", | |
| "Attributes:\n", | |
| " fixed_angle: 0.5" | |
| ] | |
| }, | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "ds" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Georeference and Plot" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.collections.QuadMesh at 0x7f4bbfeba3d0>" | |
| ] | |
| }, | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "swp = ds.pipe(wrl.georef.georeference_dataset)\n", | |
| "swp.DBTH.plot(x=\"x\", y=\"y\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Reindexing\n", | |
| "\n", | |
| "Reindexing is done to get an even azimuth array like [0.5, 1.5, 2.5, ..., 395.5]. That way multiple files from same elevation can be combined into one Dataset (`open_rainbow_mfdataset`). \n", | |
| "\n", | |
| "Currently azimuth angle will be reindexed by default using a tolerance for the nearest neighbour search of 0.4deg. That works well for most of the data I work with, but fails terribly for other data. `reindex_angle=False` will be the future default. Specifying `reindex_angle=1.0` will reindex along azimuth with a tolerance of 1.0deg." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "%%time\n", | |
| "vol = wrl.io.rainbow.open_rainbow_dataset(filename)\n", | |
| "swp = vol[0].pipe(wrl.georef.georeference_dataset)\n", | |
| "swp.DBTH.plot(x=\"x\", y=\"y\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "CPU times: user 279 ms, sys: 12.1 ms, total: 291 ms\n", | |
| "Wall time: 288 ms\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.collections.QuadMesh at 0x7f4bbfb05b50>" | |
| ] | |
| }, | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "%%time\n", | |
| "vol = wrl.io.rainbow.open_rainbow_dataset(filename, reindex_angle=2)\n", | |
| "swp = vol[0].pipe(wrl.georef.georeference_dataset)\n", | |
| "swp.DBTH.plot(x=\"x\", y=\"y\")" | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3 (ipykernel)", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.9.6" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 2 | |
| } |
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