{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1add2279",
   "metadata": {},
   "source": [
    "# Attenuation correction module"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "406507c1",
   "metadata": {},
   "source": [
    "Attenuation due to precipitation plays a major role in underestimating the precipitation. Therefore, an attenuation correction according to the ZPHI method ([Testud et. al, 2001](https://www.sciencedirect.com/science/article/pii/S1464190900001155?via%3Dihub>)) is performed.\n",
    "\n",
    "Now we start step by step with the attenuation correction for clutter corrected data of the weather radar FURUNO.\n",
    "\n",
    "```python\n",
    "\n",
    "import wrainfo as wrf\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "315b10b6",
   "metadata": {},
   "source": [
    "At first, we have to import following packages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b4390a7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime as dt\n",
    "import wradlib as wrl\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c1f687f",
   "metadata": {},
   "source": [
    "For the individual steps of the clutter correction, see the [Clutter detection module](https://fernlab.git-pages.gfz-potsdam.de/products/furuno/wrainfo/doc/tutorials_and_examples/clutter_detection_module.html). We continue working with the created dataset at the end of the clutter correction."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0512be00",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note** <br>\n",
    "\n",
    "The functions work also for a xarray dataset which is linking over the time.\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0601ab2",
   "metadata": {},
   "source": [
    "# Phase processing"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f27c207",
   "metadata": {},
   "source": [
    "First of all, a phase processing has to be done with the ```phase_zphi``` function. Therefore, a binary array (True = rain, False = not-rain) rolling a range-long sum from PHIDP is generated. Afterwards the first occurrence of the maximum (from front and back) of PHIDP binary array is searched for.\n",
    "This gives the indices of the centers of the rolling window. Then min, max, median and mean of these are calculated. At least the true start and end indices of the phase PHIDP are calculated (+- half window length)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e7b8358c",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (azimuth: 720, range: 936)\n",
       "Coordinates:\n",
       "  * azimuth       (azimuth) float64 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\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",
       "    rtime         (azimuth) datetime64[ns] 2022-02-16T13:45:28.941817600 ... ...\n",
       "  * range         (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time          datetime64[ns] 2022-02-16T13:45:01\n",
       "    sweep_mode    &lt;U20 &#x27;azimuth_surveillance&#x27;\n",
       "    longitude     float64 13.24\n",
       "    latitude      float64 53.55\n",
       "    altitude      float64 38.0\n",
       "Data variables: (12/15)\n",
       "    phib          (azimuth, range) float64 nan nan nan nan ... nan nan nan nan\n",
       "    offset        float64 450.0\n",
       "    offset_idx    int64 6\n",
       "    start_range   (azimuth) float32 7.988e+03 7.838e+03 ... 7.988e+03 7.988e+03\n",
       "    stop_range    (azimuth) float32 2.651e+04 2.621e+04 ... 2.689e+04 2.689e+04\n",
       "    first_min     (azimuth) float32 32.34 32.34 36.56 ... 36.56 30.94 33.75\n",
       "    ...            ...\n",
       "    first_idx     (azimuth) int64 106 104 106 105 105 ... 124 123 123 106 106\n",
       "    last_min      (azimuth) float32 32.34 30.94 29.53 ... 36.56 35.16 33.75\n",
       "    last_max      (azimuth) float32 47.81 43.59 43.59 45.0 ... 46.41 45.0 49.22\n",
       "    last_mean     (azimuth) float32 37.87 35.46 35.76 ... 40.08 39.38 38.97\n",
       "    last_median   (azimuth) float32 35.86 34.45 36.56 ... 39.38 39.38 38.67\n",
       "    last_idx      (azimuth) int64 352 348 346 325 325 ... 366 357 357 357 357</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-fcff9076-2643-489d-914a-94852493fc56' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fcff9076-2643-489d-914a-94852493fc56' 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>: 720</li><li><span class='xr-has-index'>range</span>: 936</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6385f622-07f8-4407-8cc4-da5d5f2c1ad9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6385f622-07f8-4407-8cc4-da5d5f2c1ad9' 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'>0.25 0.75 1.25 ... 359.2 359.8</div><input id='attrs-62de3a14-5532-4618-898a-7ac431a3539c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62de3a14-5532-4618-898a-7ac431a3539c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45228a2e-bfcf-48d1-b605-e364cebc1e03' class='xr-var-data-in' type='checkbox'><label for='data-45228a2e-bfcf-48d1-b605-e364cebc1e03' title='Show/Hide data repr'><svg 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>1</dd><dt><span>angle_res :</span></dt><dd>0.5</dd></dl></div><div class='xr-var-data'><pre>array([2.5000e-01, 7.5000e-01, 1.2500e+00, ..., 3.5875e+02, 3.5925e+02,\n",
       "       3.5975e+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-a3c9eee2-5db4-441f-9165-56028731634b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3c9eee2-5db4-441f-9165-56028731634b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d197085-ef11-4c90-88a5-5b08902e18d3' class='xr-var-data-in' type='checkbox'><label for='data-9d197085-ef11-4c90-88a5-5b08902e18d3' title='Show/Hide data repr'><svg 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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\n",
       "...\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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>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'>2022-02-16T13:45:28.941817600 .....</div><input id='attrs-b7eb70a3-29be-4c27-a305-1efd70d89cba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7eb70a3-29be-4c27-a305-1efd70d89cba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-082f452d-0183-4910-a2f9-f9be8a1c9c48' class='xr-var-data-in' type='checkbox'><label for='data-082f452d-0183-4910-a2f9-f9be8a1c9c48' title='Show/Hide data repr'><svg 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([&#x27;2022-02-16T13:45:28.941817600&#x27;, &#x27;2022-02-16T13:45:28.980652544&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.019417600&#x27;, &#x27;2022-02-16T13:45:01.058252544&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.097087744&#x27;, &#x27;2022-02-16T13:45:01.135922688&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.174757632&#x27;, &#x27;2022-02-16T13:45:01.213592832&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.252427776&#x27;, &#x27;2022-02-16T13:45:01.291262976&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.330097920&#x27;, &#x27;2022-02-16T13:45:01.368932864&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.407768064&#x27;, &#x27;2022-02-16T13:45:01.446603008&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.485438208&#x27;, &#x27;2022-02-16T13:45:01.524273152&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.563108096&#x27;, &#x27;2022-02-16T13:45:01.601943296&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.640778240&#x27;, &#x27;2022-02-16T13:45:01.679613440&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.718448384&#x27;, &#x27;2022-02-16T13:45:01.757283328&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.796118528&#x27;, &#x27;2022-02-16T13:45:01.834953472&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.873788672&#x27;, &#x27;2022-02-16T13:45:01.912623616&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.951458816&#x27;, &#x27;2022-02-16T13:45:01.990293760&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.029128704&#x27;, &#x27;2022-02-16T13:45:02.067963904&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.106798848&#x27;, &#x27;2022-02-16T13:45:02.145634048&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.184468992&#x27;, &#x27;2022-02-16T13:45:02.223303936&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.262139136&#x27;, &#x27;2022-02-16T13:45:02.300974080&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.339809280&#x27;, &#x27;2022-02-16T13:45:02.378644224&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.417479168&#x27;, &#x27;2022-02-16T13:45:02.456314368&#x27;,\n",
       "...\n",
       "       &#x27;2022-02-16T13:45:27.466085632&#x27;, &#x27;2022-02-16T13:45:27.504920832&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.543755776&#x27;, &#x27;2022-02-16T13:45:27.582590720&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.621425920&#x27;, &#x27;2022-02-16T13:45:27.660260864&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.699096064&#x27;, &#x27;2022-02-16T13:45:27.737931008&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.776765952&#x27;, &#x27;2022-02-16T13:45:27.815601152&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.854436096&#x27;, &#x27;2022-02-16T13:45:27.893271296&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.932106240&#x27;, &#x27;2022-02-16T13:45:27.970941184&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.009776384&#x27;, &#x27;2022-02-16T13:45:28.048611328&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.087446528&#x27;, &#x27;2022-02-16T13:45:28.126281472&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.165116672&#x27;, &#x27;2022-02-16T13:45:28.203951616&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.242786560&#x27;, &#x27;2022-02-16T13:45:28.281621760&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.320456704&#x27;, &#x27;2022-02-16T13:45:28.359291904&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.398126848&#x27;, &#x27;2022-02-16T13:45:28.436961792&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.475796992&#x27;, &#x27;2022-02-16T13:45:28.514631936&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.553467136&#x27;, &#x27;2022-02-16T13:45:28.592302080&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.631137024&#x27;, &#x27;2022-02-16T13:45:28.669972224&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.708807168&#x27;, &#x27;2022-02-16T13:45:28.747642368&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.786477312&#x27;, &#x27;2022-02-16T13:45:28.825312256&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.864147456&#x27;, &#x27;2022-02-16T13:45:28.902982400&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</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'>37.5 112.5 ... 7.009e+04 7.016e+04</div><input id='attrs-9a00f8ae-4592-428f-ac81-3a56d764613f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a00f8ae-4592-428f-ac81-3a56d764613f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e798516f-2b04-496d-936b-9ea66d1948ef' class='xr-var-data-in' type='checkbox'><label for='data-e798516f-2b04-496d-936b-9ea66d1948ef' title='Show/Hide data repr'><svg 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>37.5</dd><dt><span>meters_between_gates :</span></dt><dd>75.0</dd></dl></div><div class='xr-var-data'><pre>array([3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04, 7.00875e+04,\n",
       "       7.01625e+04], 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'>2022-02-16T13:45:01</div><input id='attrs-aaf1c006-831b-4682-bd1a-f82984898a6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aaf1c006-831b-4682-bd1a-f82984898a6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1ec4f14-a5dd-48c4-b789-cb916a32849d' class='xr-var-data-in' type='checkbox'><label for='data-d1ec4f14-a5dd-48c4-b789-cb916a32849d' title='Show/Hide data repr'><svg 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(&#x27;2022-02-16T13:45:01.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</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'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;azimuth_surveillance&#x27;</div><input id='attrs-c9a97854-8a84-4411-b61b-32abac04ec33' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9a97854-8a84-4411-b61b-32abac04ec33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71caa42f-b441-400d-8e2d-ed8233b87325' class='xr-var-data-in' type='checkbox'><label for='data-71caa42f-b441-400d-8e2d-ed8233b87325' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;azimuth_surveillance&#x27;, dtype=&#x27;&lt;U20&#x27;)</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'>13.24</div><input id='attrs-0df9bba4-b0a0-422d-bace-bf9674e143f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0df9bba4-b0a0-422d-bace-bf9674e143f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc7813f2-5cff-4b35-a973-7383f3cf2e74' class='xr-var-data-in' type='checkbox'><label for='data-cc7813f2-5cff-4b35-a973-7383f3cf2e74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(13.24397)</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'>53.55</div><input id='attrs-859da956-c06f-4fa9-9ff5-a30e3a3e59bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-859da956-c06f-4fa9-9ff5-a30e3a3e59bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dc2760d-71f6-4c1d-900b-9557df818c22' class='xr-var-data-in' type='checkbox'><label for='data-8dc2760d-71f6-4c1d-900b-9557df818c22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(53.55478)</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'>38.0</div><input id='attrs-1d978101-132c-4a26-b395-6fef830ca7d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d978101-132c-4a26-b395-6fef830ca7d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db970aad-9c1c-417e-a890-21496fdea802' class='xr-var-data-in' type='checkbox'><label for='data-db970aad-9c1c-417e-a890-21496fdea802' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(38.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1d6c48f7-5472-4ca9-b616-21d790c54fb2' class='xr-section-summary-in' type='checkbox'  ><label for='section-1d6c48f7-5472-4ca9-b616-21d790c54fb2' class='xr-section-summary' >Data variables: <span>(15)</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>phib</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-d6c38978-0278-4fdb-9f41-74de3e80bfd0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d6c38978-0278-4fdb-9f41-74de3e80bfd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eba5d28e-1c01-4cdb-b623-89d1ee58a61b' class='xr-var-data-in' type='checkbox'><label for='data-eba5d28e-1c01-4cdb-b623-89d1ee58a61b' title='Show/Hide data 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([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>offset</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>450.0</div><input id='attrs-78e66bec-adbd-4029-90d1-8afa68ce24f1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78e66bec-adbd-4029-90d1-8afa68ce24f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be143a13-995c-4b91-9b17-b069fefc9158' class='xr-var-data-in' type='checkbox'><label for='data-be143a13-995c-4b91-9b17-b069fefc9158' title='Show/Hide data 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(450.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>offset_idx</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>6</div><input id='attrs-b6264e8c-2776-41d7-88fa-2180731a9c3d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6264e8c-2776-41d7-88fa-2180731a9c3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d61c0ad4-57b5-4d65-99ec-8ea3620b8c53' class='xr-var-data-in' type='checkbox'><label for='data-d61c0ad4-57b5-4d65-99ec-8ea3620b8c53' title='Show/Hide data 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(6)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>start_range</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.988e+03 7.838e+03 ... 7.988e+03</div><input id='attrs-efef7083-ea16-465d-b9a8-477e743c2e66' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-efef7083-ea16-465d-b9a8-477e743c2e66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dbef70a-8b4c-4894-b755-edae5d7e79a5' class='xr-var-data-in' type='checkbox'><label for='data-3dbef70a-8b4c-4894-b755-edae5d7e79a5' title='Show/Hide data 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([ 7987.5,  7837.5,  7987.5,  7912.5,  7912.5,  7912.5,  7762.5,\n",
       "        7837.5,  7912.5,  7912.5,  7912.5,  8437.5,  8512.5,  8512.5,\n",
       "        8587.5,  8512.5,  8662.5,  8587.5,  8737.5,  8512.5,  8512.5,\n",
       "        8212.5,  9187.5,  9412.5,  9562.5,  9637.5,  9937.5, 10012.5,\n",
       "       10087.5, 10087.5, 10162.5, 10162.5, 10237.5, 10312.5, 10762.5,\n",
       "       10762.5, 10762.5, 10687.5, 10687.5, 10612.5, 10537.5, 10537.5,\n",
       "       10537.5, 13462.5, 13462.5, 10462.5, 10237.5, 10912.5, 11287.5,\n",
       "       14887.5, 14737.5, 14737.5, 10012.5,  9562.5, 10162.5, 10162.5,\n",
       "        9712.5,  9712.5, 10837.5, 14437.5, 14362.5, 14362.5, 14287.5,\n",
       "       14212.5, 11962.5, 11887.5, 11812.5, 11812.5, 12187.5, 12187.5,\n",
       "       10387.5, 10462.5,  9937.5,  9412.5,  9037.5,  9712.5,  9787.5,\n",
       "        9937.5,  9937.5,  9937.5,  9937.5, 17437.5, 17362.5, 10087.5,\n",
       "       10087.5,  9862.5,  9862.5,  9862.5,  9937.5,  9487.5,  9412.5,\n",
       "        9262.5,  9262.5,  9337.5,  9337.5,  9337.5,  9187.5,  9187.5,\n",
       "        9187.5,  9187.5,  8512.5,  8437.5,  8887.5,  9037.5,  9112.5,\n",
       "        9112.5,  9187.5,  9187.5,  9562.5,  9637.5, 11287.5, 11287.5,\n",
       "       11287.5, 11437.5, 10987.5,  9862.5,  9787.5, 10462.5, 11437.5,\n",
       "        9337.5,  9037.5, 10237.5, 11362.5,  9487.5, 11362.5,  9412.5,\n",
       "       10237.5, 10237.5,  9562.5,  9412.5,  7912.5,  7837.5,  7837.5,\n",
       "        7837.5,  7912.5,  7912.5,  7912.5,  7912.5,  8212.5,  8212.5,\n",
       "...\n",
       "        7912.5,  7762.5,  7762.5,  7762.5,  7687.5,  7762.5,  7762.5,\n",
       "        7687.5,  7762.5,  8662.5,  8737.5,  8737.5,  8737.5,  8737.5,\n",
       "        8737.5,  8737.5,  8737.5,  8812.5,  9187.5,  9187.5,  9262.5,\n",
       "        9262.5,  9337.5,  9412.5,  9487.5,  9487.5,  9487.5,  9487.5,\n",
       "        9562.5,  9562.5,  9487.5,  9487.5,  9337.5,  9337.5,  9262.5,\n",
       "        9487.5,  9487.5,  8887.5,  8812.5,  8887.5,  9112.5,  9337.5,\n",
       "       10162.5, 10162.5, 10162.5, 10162.5,  9337.5,  9262.5,  9112.5,\n",
       "        8887.5,  8137.5,  8062.5,  8062.5,  7687.5,  7687.5,  7687.5,\n",
       "        7687.5,  7762.5,  7612.5,  8512.5,  8662.5,  8587.5,  8812.5,\n",
       "        8812.5,  8662.5,  8737.5,  9487.5, 13237.5, 13237.5, 13237.5,\n",
       "       13237.5, 12787.5, 12712.5, 12487.5, 12187.5, 12262.5, 12262.5,\n",
       "       12187.5, 12112.5, 12112.5, 12112.5, 12112.5, 12112.5, 12112.5,\n",
       "       12037.5, 12037.5, 12037.5, 11962.5, 11887.5, 11962.5, 12037.5,\n",
       "       12112.5, 12112.5, 12262.5, 12262.5, 12637.5, 14137.5, 14137.5,\n",
       "       14137.5, 14062.5, 13987.5, 14062.5, 13987.5, 14062.5, 14137.5,\n",
       "       12337.5, 12337.5, 12262.5, 11587.5, 11512.5, 11512.5, 11062.5,\n",
       "       10987.5,  9712.5,  9637.5,  9712.5,  9712.5,  9637.5,  9637.5,\n",
       "        9637.5,  9712.5, 10762.5, 10762.5, 10762.5,  9412.5,  9337.5,\n",
       "        9337.5,  9337.5,  9262.5,  9262.5,  7987.5,  7987.5],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stop_range</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.651e+04 2.621e+04 ... 2.689e+04</div><input id='attrs-6b07cad8-a4b9-48b8-a562-0cc9ae4078ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b07cad8-a4b9-48b8-a562-0cc9ae4078ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a1db17c-33df-476b-bfae-f523451e279a' class='xr-var-data-in' type='checkbox'><label for='data-0a1db17c-33df-476b-bfae-f523451e279a' title='Show/Hide data 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([26512.5, 26212.5, 26062.5, 24487.5, 24487.5, 24412.5, 69262.5,\n",
       "       24112.5, 23812.5, 23737.5, 23737.5, 23812.5, 30787.5, 31012.5,\n",
       "       31087.5, 31312.5, 30637.5, 30562.5, 30487.5, 30487.5, 30487.5,\n",
       "       30412.5, 32362.5, 32737.5, 28762.5, 32062.5, 31987.5, 31987.5,\n",
       "       31987.5, 31762.5, 41887.5, 41962.5, 50662.5, 50962.5, 50962.5,\n",
       "       50962.5, 50962.5, 50962.5, 51262.5, 51037.5, 51262.5, 52012.5,\n",
       "       52312.5, 52387.5, 53287.5, 53212.5, 53362.5, 53362.5, 53362.5,\n",
       "       52387.5, 51937.5, 51262.5, 49612.5, 49237.5, 49312.5, 48037.5,\n",
       "       58237.5, 58237.5, 58162.5, 57787.5, 57712.5, 57637.5, 33562.5,\n",
       "       33187.5, 33187.5, 33187.5, 33112.5, 32662.5, 31987.5, 31462.5,\n",
       "       31312.5, 31237.5, 64912.5, 65812.5, 65512.5, 65512.5, 65587.5,\n",
       "       64462.5, 64462.5, 63937.5, 63937.5, 63712.5, 63412.5, 63337.5,\n",
       "       63412.5, 63337.5, 62212.5, 58612.5, 60487.5, 60487.5, 60112.5,\n",
       "       60037.5, 57262.5, 55612.5, 55312.5, 54862.5, 53137.5, 52762.5,\n",
       "       51787.5, 51712.5, 51637.5, 49612.5, 49612.5, 49162.5, 49162.5,\n",
       "       48937.5, 48937.5, 49537.5, 48862.5, 48862.5, 48712.5, 48637.5,\n",
       "       48637.5, 48262.5, 48037.5, 47962.5, 47287.5, 46387.5, 46312.5,\n",
       "       46012.5, 40312.5, 39487.5, 38962.5, 38887.5, 38812.5, 38512.5,\n",
       "       32962.5, 32212.5, 32062.5, 32062.5, 32062.5, 31537.5, 31462.5,\n",
       "       31087.5, 30787.5, 30712.5, 30712.5, 30112.5, 30112.5, 30037.5,\n",
       "...\n",
       "       15637.5, 15637.5, 16762.5, 16237.5, 16762.5, 16687.5, 16687.5,\n",
       "       12037.5, 12337.5, 14137.5, 14287.5, 12787.5, 13387.5, 16087.5,\n",
       "       15562.5, 15637.5, 13312.5, 13312.5, 15787.5, 16837.5, 13162.5,\n",
       "       29137.5, 15787.5, 13987.5, 15412.5, 15637.5, 15637.5, 12787.5,\n",
       "       14287.5, 26137.5, 28912.5, 30562.5, 30562.5, 30637.5, 30637.5,\n",
       "       30712.5, 30562.5, 30562.5, 30562.5, 30562.5, 30562.5, 30487.5,\n",
       "       29887.5, 29887.5, 29812.5, 29587.5, 15187.5, 18787.5, 18787.5,\n",
       "       19087.5, 19012.5, 19087.5, 19162.5, 19087.5, 10087.5, 10012.5,\n",
       "        8662.5,  8887.5,  8887.5,  9637.5, 10162.5,  9787.5, 10012.5,\n",
       "       14137.5, 16087.5, 16687.5, 17812.5, 18412.5, 18562.5, 20587.5,\n",
       "       20512.5, 20587.5, 19837.5, 20362.5, 21187.5, 21187.5, 21487.5,\n",
       "       21487.5, 21487.5, 21937.5, 21937.5, 21562.5, 21562.5, 21562.5,\n",
       "       21112.5, 20662.5, 20362.5, 19237.5, 19012.5, 19012.5, 18787.5,\n",
       "       67462.5, 67537.5, 67537.5, 66937.5, 68212.5, 67987.5, 68287.5,\n",
       "       68062.5, 67762.5, 36562.5, 36562.5, 36862.5, 37612.5, 41137.5,\n",
       "       42337.5, 44287.5, 44287.5, 43837.5, 43087.5, 43012.5, 42487.5,\n",
       "       41662.5, 41287.5, 41212.5, 40987.5, 58762.5, 58687.5, 39712.5,\n",
       "       58162.5, 36262.5, 36037.5, 35512.5, 35437.5, 35287.5, 31987.5,\n",
       "       30637.5, 27562.5, 26887.5, 26887.5, 26887.5, 26887.5],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>first_min</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>32.34 32.34 36.56 ... 30.94 33.75</div><input id='attrs-8815c314-dde7-431f-98fb-36d37ac727a0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8815c314-dde7-431f-98fb-36d37ac727a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f359aaab-1eb0-44e3-a8a4-d6a0b841c510' class='xr-var-data-in' type='checkbox'><label for='data-f359aaab-1eb0-44e3-a8a4-d6a0b841c510' title='Show/Hide data 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([ 32.34375,  32.34375,  36.5625 ,  36.5625 ,  36.5625 ,  33.75   ,\n",
       "        32.34375,  33.75   ,  33.75   ,  33.75   ,  33.75   ,  33.75   ,\n",
       "        30.9375 ,  29.53125,  30.9375 ,  32.34375,  32.34375,  33.75   ,\n",
       "        35.15625,  35.15625,  36.5625 ,  29.53125,  35.15625,  36.5625 ,\n",
       "        36.5625 ,  35.15625,  32.34375,  33.75   ,  32.34375,  30.9375 ,\n",
       "        30.9375 ,  29.53125,  28.125  ,  30.9375 ,  32.34375,  30.9375 ,\n",
       "        32.34375,  30.9375 ,  30.9375 ,  29.53125,  26.71875,  22.5    ,\n",
       "        32.34375,  32.34375,  32.34375,  36.5625 ,  39.375  ,  40.78125,\n",
       "        33.75   ,  32.34375,  37.96875,  33.75   ,  37.96875,  37.96875,\n",
       "        29.53125,  33.75   ,  32.34375,  26.71875,  32.34375,  30.9375 ,\n",
       "        32.34375,  32.34375,  33.75   ,  30.9375 ,  28.125  ,  29.53125,\n",
       "        28.125  ,  25.3125 ,  29.53125,  26.71875,  29.53125,  29.53125,\n",
       "        25.3125 ,  26.71875,  29.53125,  33.75   ,  32.34375,  25.3125 ,\n",
       "        22.5    ,  28.125  ,  32.34375,  30.9375 ,  32.34375,  26.71875,\n",
       "        26.71875,  30.9375 ,  29.53125,  28.125  ,  30.9375 ,  30.9375 ,\n",
       "        35.15625,  30.9375 ,  32.34375,  33.75   ,  32.34375,  28.125  ,\n",
       "        30.9375 ,  29.53125,  28.125  ,  28.125  ,  29.53125,  26.71875,\n",
       "        28.125  ,  30.9375 ,  28.125  ,  28.125  ,  30.9375 ,  30.9375 ,\n",
       "        28.125  ,  19.6875 ,  25.3125 ,  21.09375,  23.90625,  25.3125 ,\n",
       "        28.125  ,  28.125  ,  28.125  ,  28.125  ,  26.71875,  16.875  ,\n",
       "...\n",
       "        23.90625,  28.125  ,  26.71875,  26.71875,  25.3125 ,  25.3125 ,\n",
       "        28.125  ,  26.71875,  28.125  ,  25.3125 ,  22.5    ,  22.5    ,\n",
       "        23.90625,  25.3125 ,  23.90625,  25.3125 ,  25.3125 ,  23.90625,\n",
       "        25.3125 ,  25.3125 ,  23.90625,  26.71875,  28.125  ,  28.125  ,\n",
       "        28.125  ,  28.125  ,  28.125  ,  30.9375 ,  23.90625,  22.5    ,\n",
       "        26.71875,  28.125  ,  25.3125 ,  30.9375 ,  32.34375,  23.90625,\n",
       "        29.53125,  30.9375 ,  32.34375,  35.15625,  40.78125,  42.1875 ,\n",
       "        42.1875 ,  37.96875,  33.75   ,  33.75   ,  33.75   ,  42.1875 ,\n",
       "        33.75   ,  35.15625,  30.9375 ,  32.34375,  30.9375 ,  32.34375,\n",
       "        32.34375,  32.34375,  32.34375,  33.75   ,  33.75   ,  33.75   ,\n",
       "        32.34375,  33.75   ,  33.75   ,  32.34375,  32.34375,  32.34375,\n",
       "        32.34375,  33.75   ,  33.75   ,  32.34375,  30.9375 ,  30.9375 ,\n",
       "        33.75   ,  33.75   ,  33.75   ,  33.75   ,  33.75   ,  29.53125,\n",
       "        37.96875,  36.5625 ,  35.15625,  35.15625,  32.34375,  29.53125,\n",
       "        28.125  ,  28.125  ,  30.9375 ,  32.34375,  32.34375,  33.75   ,\n",
       "        32.34375,  32.34375,  36.5625 ,  36.5625 ,  33.75   ,  36.5625 ,\n",
       "        30.9375 ,  30.9375 ,  30.9375 ,  29.53125,  32.34375,  33.75   ,\n",
       "        35.15625,  35.15625,  35.15625,  33.75   ,  33.75   ,  35.15625,\n",
       "        35.15625,  35.15625,  37.96875,  36.5625 ,  30.9375 ,  33.75   ],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>first_max</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>43.59 40.78 42.19 ... 43.59 43.59</div><input id='attrs-460b266e-f11e-4c67-a957-d671e9ded286' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-460b266e-f11e-4c67-a957-d671e9ded286' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04fb2a33-8d93-4aef-a6a5-6736901473cd' class='xr-var-data-in' type='checkbox'><label for='data-04fb2a33-8d93-4aef-a6a5-6736901473cd' title='Show/Hide data 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([ 43.59375,  40.78125,  42.1875 ,  43.59375,  43.59375,  43.59375,\n",
       "        43.59375,  40.78125,  40.78125,  39.375  ,  40.78125,  40.78125,\n",
       "        40.78125,  40.78125,  40.78125,  39.375  ,  42.1875 ,  43.59375,\n",
       "        43.59375,  42.1875 ,  43.59375,  45.     ,  39.375  ,  42.1875 ,\n",
       "        42.1875 ,  40.78125,  39.375  ,  40.78125,  40.78125,  40.78125,\n",
       "        39.375  ,  39.375  ,  39.375  ,  39.375  ,  40.78125,  40.78125,\n",
       "        42.1875 ,  39.375  ,  37.96875,  35.15625,  39.375  ,  37.96875,\n",
       "        40.78125,  40.78125,  40.78125,  47.8125 ,  49.21875,  49.21875,\n",
       "        46.40625,  39.375  ,  40.78125,  40.78125,  53.4375 ,  47.8125 ,\n",
       "        46.40625,  45.     ,  49.21875,  49.21875,  46.40625,  42.1875 ,\n",
       "        40.78125,  39.375  ,  37.96875,  40.78125,  43.59375,  43.59375,\n",
       "        42.1875 ,  43.59375,  45.     ,  42.1875 ,  40.78125,  39.375  ,\n",
       "        40.78125,  46.40625,  43.59375,  42.1875 ,  43.59375,  40.78125,\n",
       "        45.     ,  43.59375,  46.40625,  37.96875,  42.1875 ,  46.40625,\n",
       "        43.59375,  42.1875 ,  37.96875,  42.1875 ,  43.59375,  47.8125 ,\n",
       "        45.     ,  43.59375,  40.78125,  40.78125,  39.375  ,  42.1875 ,\n",
       "        45.     ,  46.40625,  40.78125,  40.78125,  40.78125,  39.375  ,\n",
       "        39.375  ,  40.78125,  40.78125,  40.78125,  37.96875,  39.375  ,\n",
       "        39.375  ,  42.1875 ,  37.96875,  39.375  ,  39.375  ,  43.59375,\n",
       "        46.40625,  45.     ,  42.1875 ,  46.40625,  37.96875,  37.96875,\n",
       "...\n",
       "        35.15625,  35.15625,  35.15625,  36.5625 ,  37.96875,  37.96875,\n",
       "        36.5625 ,  37.96875,  39.375  ,  37.96875,  37.96875,  36.5625 ,\n",
       "        37.96875,  35.15625,  35.15625,  36.5625 ,  33.75   ,  30.9375 ,\n",
       "        32.34375,  36.5625 ,  39.375  ,  37.96875,  39.375  ,  37.96875,\n",
       "        39.375  ,  39.375  ,  39.375  ,  39.375  ,  39.375  ,  36.5625 ,\n",
       "        35.15625,  35.15625,  37.96875,  36.5625 ,  39.375  ,  39.375  ,\n",
       "        40.78125,  42.1875 ,  45.     ,  46.40625,  46.40625,  49.21875,\n",
       "        49.21875,  50.625  ,  46.40625,  45.     ,  43.59375,  47.8125 ,\n",
       "        52.03125,  45.     ,  39.375  ,  40.78125,  39.375  ,  39.375  ,\n",
       "        39.375  ,  37.96875,  39.375  ,  39.375  ,  39.375  ,  42.1875 ,\n",
       "        43.59375,  43.59375,  40.78125,  39.375  ,  36.5625 ,  39.375  ,\n",
       "        36.5625 ,  37.96875,  39.375  ,  40.78125,  39.375  ,  40.78125,\n",
       "        39.375  ,  39.375  ,  39.375  ,  42.1875 ,  39.375  ,  42.1875 ,\n",
       "        43.59375,  43.59375,  43.59375,  40.78125,  39.375  ,  37.96875,\n",
       "        39.375  ,  39.375  ,  42.1875 ,  40.78125,  42.1875 ,  40.78125,\n",
       "        40.78125,  43.59375,  45.     ,  46.40625,  42.1875 ,  42.1875 ,\n",
       "        40.78125,  45.     ,  40.78125,  39.375  ,  42.1875 ,  42.1875 ,\n",
       "        43.59375,  39.375  ,  40.78125,  39.375  ,  42.1875 ,  45.     ,\n",
       "        43.59375,  45.     ,  45.     ,  43.59375,  43.59375,  43.59375],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>first_mean</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>38.57 37.97 39.27 ... 37.37 38.87</div><input id='attrs-cfc0b428-3d48-478f-8bf2-00e9d9689d00' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cfc0b428-3d48-478f-8bf2-00e9d9689d00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92c2eee3-3a4e-4c9f-9956-51153d1018c7' class='xr-var-data-in' type='checkbox'><label for='data-92c2eee3-3a4e-4c9f-9956-51153d1018c7' title='Show/Hide data 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([ 38.57143 ,  37.96875 ,  39.274555,  39.274555,  39.776787,\n",
       "        38.973213,  37.566963,  37.06473 ,  36.763393,  37.06473 ,\n",
       "        38.069195,  36.964287,  36.160713,  36.160713,  36.86384 ,\n",
       "        36.5625  ,  39.07366 ,  39.375   ,  39.475445,  39.67634 ,\n",
       "        40.78125 ,  39.174107,  37.16518 ,  37.96875 ,  38.27009 ,\n",
       "        37.767857,  36.662945,  36.5625  ,  36.26116 ,  35.75893 ,\n",
       "        35.859375,  35.055805,  35.256695,  36.160713,  36.86384 ,\n",
       "        36.5625  ,  36.763393,  35.65848 ,  34.453125,  33.317307,\n",
       "        33.44866 ,  32.745537,  36.763393,  36.462055,  36.26116 ,\n",
       "        42.68973 ,  42.890625,  45.30134 ,  40.982143,  37.16518 ,\n",
       "        39.174107,  39.07366 ,  44.799107,  44.19643 ,  40.078125,\n",
       "        40.982143,  42.589287,  40.78125 ,  39.274555,  38.069195,\n",
       "        37.265625,  36.06027 ,  35.558037,  35.45759 ,  35.256695,\n",
       "        36.129807,  34.151787,  35.264423,  36.160713,  35.357143,\n",
       "        35.45759 ,  35.15625 ,  36.26116 ,  36.5625  ,  37.36607 ,\n",
       "        37.06473 ,  37.06473 ,  35.65848 ,  35.15625 ,  35.357143,\n",
       "        39.375   ,  35.15625 ,  37.66741 ,  36.160713,  33.44866 ,\n",
       "        36.462055,  33.317307,  34.754463,  36.86384 ,  38.77232 ,\n",
       "        39.274555,  38.47098 ,  37.16518 ,  37.66741 ,  35.859375,\n",
       "        35.055805,  36.462055,  35.256695,  35.256695,  35.45759 ,\n",
       "...\n",
       "        29.732143,  29.83259 ,  33.14732 ,  33.75    ,  32.243305,\n",
       "        33.75    ,  34.65402 ,  34.55357 ,  34.85491 ,  32.243305,\n",
       "        31.037947,  30.435268,  32.34375 ,  33.348213,  33.549107,\n",
       "        36.26116 ,  33.14732 ,  35.357143,  36.86384 ,  39.07366 ,\n",
       "        41.420456,  44.4375  ,  44.0625  ,  45.      ,  42.728367,\n",
       "        40.379463,  38.973213,  39.475445,  45.100445,  41.58482 ,\n",
       "        37.767857,  35.45759 ,  36.361607,  35.055805,  35.558037,\n",
       "        35.75893 ,  34.25223 ,  35.558037,  35.65848 ,  36.06027 ,\n",
       "        37.265625,  36.26116 ,  36.06027 ,  35.65848 ,  34.85491 ,\n",
       "        35.055805,  34.65402 ,  34.453125,  35.65848 ,  36.160713,\n",
       "        37.06473 ,  36.361607,  36.86384 ,  36.06027 ,  36.06027 ,\n",
       "        36.06027 ,  36.763393,  36.06027 ,  36.462055,  40.17857 ,\n",
       "        38.77232 ,  38.370537,  36.964287,  35.45759 ,  34.65402 ,\n",
       "        34.05134 ,  34.151787,  35.256695,  35.15625 ,  35.558037,\n",
       "        36.5625  ,  38.47098 ,  38.87277 ,  40.78125 ,  41.58482 ,\n",
       "        38.671875,  38.61779 ,  36.462055,  34.85491 ,  35.15625 ,\n",
       "        34.85491 ,  36.662945,  37.06473 ,  38.47098 ,  37.767857,\n",
       "        37.96875 ,  37.46652 ,  37.868305,  39.475445,  39.174107,\n",
       "        39.475445,  40.580357,  39.67634 ,  37.36607 ,  38.87277 ],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>first_median</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>37.97 37.97 39.38 ... 37.97 38.67</div><input id='attrs-57b84dcd-f282-4d8c-b43e-f242763eaf5e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-57b84dcd-f282-4d8c-b43e-f242763eaf5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8597c800-6fa8-440e-ad59-39fe74cca193' class='xr-var-data-in' type='checkbox'><label for='data-8597c800-6fa8-440e-ad59-39fe74cca193' title='Show/Hide data 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([ 37.96875 ,  37.96875 ,  39.375   ,  39.375   ,  39.375   ,\n",
       "        39.375   ,  37.265625,  36.5625  ,  36.5625  ,  37.265625,\n",
       "        39.375   ,  36.5625  ,  36.5625  ,  35.859375,  37.96875 ,\n",
       "        36.5625  ,  39.375   ,  40.78125 ,  39.375   ,  40.78125 ,\n",
       "        40.78125 ,  40.78125 ,  37.265625,  37.265625,  37.96875 ,\n",
       "        37.96875 ,  36.5625  ,  36.5625  ,  36.5625  ,  35.859375,\n",
       "        36.5625  ,  35.859375,  35.15625 ,  36.5625  ,  37.265625,\n",
       "        36.5625  ,  36.5625  ,  35.15625 ,  34.453125,  33.75    ,\n",
       "        34.453125,  33.75    ,  36.5625  ,  36.5625  ,  36.5625  ,\n",
       "        43.59375 ,  42.1875  ,  45.703125,  41.484375,  37.96875 ,\n",
       "        39.375   ,  39.375   ,  43.59375 ,  45.      ,  40.78125 ,\n",
       "        42.1875  ,  42.1875  ,  43.59375 ,  40.078125,  39.375   ,\n",
       "        37.96875 ,  35.859375,  35.15625 ,  35.15625 ,  35.15625 ,\n",
       "        35.15625 ,  35.15625 ,  35.15625 ,  37.265625,  35.15625 ,\n",
       "        35.859375,  35.15625 ,  36.5625  ,  37.265625,  37.265625,\n",
       "        37.265625,  37.265625,  37.265625,  35.859375,  33.75    ,\n",
       "        38.671875,  35.15625 ,  37.96875 ,  35.859375,  33.046875,\n",
       "        36.5625  ,  33.75    ,  34.453125,  36.5625  ,  39.375   ,\n",
       "        39.375   ,  38.671875,  37.96875 ,  37.96875 ,  35.15625 ,\n",
       "        35.15625 ,  35.859375,  33.75    ,  36.5625  ,  37.96875 ,\n",
       "...\n",
       "        28.125   ,  29.53125 ,  33.75    ,  33.75    ,  32.34375 ,\n",
       "        33.75    ,  36.5625  ,  34.453125,  35.15625 ,  31.640625,\n",
       "        32.34375 ,  30.9375  ,  32.34375 ,  33.75    ,  33.75    ,\n",
       "        36.5625  ,  35.15625 ,  35.859375,  37.265625,  39.375   ,\n",
       "        40.78125 ,  45.      ,  42.890625,  44.296875,  43.59375 ,\n",
       "        40.78125 ,  37.96875 ,  39.375   ,  45.703125,  41.484375,\n",
       "        37.96875 ,  35.15625 ,  36.5625  ,  34.453125,  35.15625 ,\n",
       "        35.859375,  33.75    ,  35.859375,  35.15625 ,  36.5625  ,\n",
       "        36.5625  ,  35.859375,  35.15625 ,  35.15625 ,  34.453125,\n",
       "        35.15625 ,  33.75    ,  33.75    ,  35.15625 ,  36.5625  ,\n",
       "        37.265625,  36.5625  ,  37.265625,  35.859375,  36.5625  ,\n",
       "        36.5625  ,  36.5625  ,  36.5625  ,  37.265625,  39.375   ,\n",
       "        37.96875 ,  37.96875 ,  36.5625  ,  35.15625 ,  33.75    ,\n",
       "        33.75    ,  34.453125,  35.15625 ,  34.453125,  35.15625 ,\n",
       "        35.859375,  39.375   ,  39.375   ,  40.78125 ,  40.78125 ,\n",
       "        39.375   ,  37.96875 ,  35.859375,  35.15625 ,  34.453125,\n",
       "        34.453125,  36.5625  ,  36.5625  ,  37.96875 ,  37.96875 ,\n",
       "        38.671875,  37.96875 ,  37.96875 ,  38.671875,  38.671875,\n",
       "        38.671875,  39.375   ,  39.375   ,  37.96875 ,  38.671875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>first_idx</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>106 104 106 105 ... 123 123 106 106</div><input id='attrs-c7550462-a183-471b-bdd9-2f8e71b6691d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7550462-a183-471b-bdd9-2f8e71b6691d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d8c3231-3752-4490-9beb-ba2e0fd78ed0' class='xr-var-data-in' type='checkbox'><label for='data-6d8c3231-3752-4490-9beb-ba2e0fd78ed0' title='Show/Hide data 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([106, 104, 106, 105, 105, 105, 103, 104, 105, 105, 105, 112, 113,\n",
       "       113, 114, 113, 115, 114, 116, 113, 113, 109, 122, 125, 127, 128,\n",
       "       132, 133, 134, 134, 135, 135, 136, 137, 143, 143, 143, 142, 142,\n",
       "       141, 140, 140, 140, 179, 179, 139, 136, 145, 150, 198, 196, 196,\n",
       "       133, 127, 135, 135, 129, 129, 144, 192, 191, 191, 190, 189, 159,\n",
       "       158, 157, 157, 162, 162, 138, 139, 132, 125, 120, 129, 130, 132,\n",
       "       132, 132, 132, 232, 231, 134, 134, 131, 131, 131, 132, 126, 125,\n",
       "       123, 123, 124, 124, 124, 122, 122, 122, 122, 113, 112, 118, 120,\n",
       "       121, 121, 122, 122, 127, 128, 150, 150, 150, 152, 146, 131, 130,\n",
       "       139, 152, 124, 120, 136, 151, 126, 151, 125, 136, 136, 127, 125,\n",
       "       105, 104, 104, 104, 105, 105, 105, 105, 109, 109, 109, 109, 104,\n",
       "       105, 106, 107, 334, 112, 114, 113, 113, 113, 113, 115, 109, 115,\n",
       "       115,  99,  99, 115, 115, 106, 106, 106, 102, 102, 114,  11,  98,\n",
       "        98, 103, 115, 115, 105, 109, 107, 106, 106, 105, 104, 104, 104,\n",
       "       105, 105, 106, 106, 104, 105, 108, 105, 111, 111, 105, 105, 104,\n",
       "       104, 102, 102, 102, 108, 107, 106, 116, 106, 106, 105, 105, 104,\n",
       "       103, 103, 103, 109, 109, 112, 114, 114, 114, 111, 108, 107, 107,\n",
       "       106, 106, 108, 108, 108, 108, 106, 106, 104, 104, 104, 103, 104,\n",
       "       104, 104, 105, 105, 104, 104, 104, 102, 102, 102, 103, 103, 106,\n",
       "       105, 105, 103, 103, 103, 106, 106, 109, 109, 109, 106, 106, 106,\n",
       "...\n",
       "         0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "         0, 217, 216, 217, 215, 216, 215, 206, 200, 210, 210, 208, 206,\n",
       "       208, 211, 212, 207, 200, 199, 200, 194, 194, 200, 178, 176, 175,\n",
       "       171, 185, 156, 191, 190, 186, 176, 177, 158, 188, 188, 188, 152,\n",
       "       187, 188, 153, 181, 181, 181, 165, 165, 165, 109, 168, 167, 165,\n",
       "       159, 106, 169, 170, 169, 150, 146, 127, 135, 125, 120, 126, 125,\n",
       "       114, 114, 121, 102, 102, 102, 102, 105, 103, 104, 104, 105, 105,\n",
       "       109, 106, 109, 105, 105, 105, 105, 136, 107, 141, 141, 108, 133,\n",
       "       125, 139, 139, 139, 103, 103, 106, 106, 106, 105, 106, 106, 106,\n",
       "       106, 106, 105, 105, 103, 103, 103, 102, 103, 103, 102, 103, 115,\n",
       "       116, 116, 116, 116, 116, 116, 116, 117, 122, 122, 123, 123, 124,\n",
       "       125, 126, 126, 126, 126, 127, 127, 126, 126, 124, 124, 123, 126,\n",
       "       126, 118, 117, 118, 121, 124, 135, 135, 135, 135, 124, 123, 121,\n",
       "       118, 108, 107, 107, 102, 102, 102, 102, 103, 101, 113, 115, 114,\n",
       "       117, 117, 115, 116, 126, 176, 176, 176, 176, 170, 169, 166, 162,\n",
       "       163, 163, 162, 161, 161, 161, 161, 161, 161, 160, 160, 160, 159,\n",
       "       158, 159, 160, 161, 161, 163, 163, 168, 188, 188, 188, 187, 186,\n",
       "       187, 186, 187, 188, 164, 164, 163, 154, 153, 153, 147, 146, 129,\n",
       "       128, 129, 129, 128, 128, 128, 129, 143, 143, 143, 125, 124, 124,\n",
       "       124, 123, 123, 106, 106])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>last_min</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>32.34 30.94 29.53 ... 35.16 33.75</div><input id='attrs-9c8aba8a-a2a7-44aa-aee4-41929b4bf70e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9c8aba8a-a2a7-44aa-aee4-41929b4bf70e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34228e44-eef8-4ce0-b858-5d10acdf68be' class='xr-var-data-in' type='checkbox'><label for='data-34228e44-eef8-4ce0-b858-5d10acdf68be' title='Show/Hide data 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([ 32.34375,  30.9375 ,  29.53125,  35.15625,  35.15625,  33.75   ,\n",
       "        29.53125,  33.75   ,  32.34375,  33.75   ,  33.75   ,  35.15625,\n",
       "        35.15625,  36.5625 ,  37.96875,  35.15625,  36.5625 ,  36.5625 ,\n",
       "        37.96875,  36.5625 ,  36.5625 ,  35.15625,  32.34375,  30.9375 ,\n",
       "        33.75   ,  33.75   ,  32.34375,  32.34375,  30.9375 ,  32.34375,\n",
       "        33.75   ,  33.75   ,  26.71875,  29.53125,  33.75   ,  35.15625,\n",
       "        37.96875,  33.75   ,  33.75   ,  35.15625,  39.375  ,  40.78125,\n",
       "        36.5625 ,  40.78125,  37.96875,  42.1875 ,  40.78125,  42.1875 ,\n",
       "        40.78125,  42.1875 ,  39.375  ,  43.59375,  39.375  ,  37.96875,\n",
       "        39.375  ,  42.1875 ,  42.1875 ,  40.78125,  39.375  ,  36.5625 ,\n",
       "        33.75   ,  29.53125,  35.15625,  37.96875,  37.96875,  36.5625 ,\n",
       "        36.5625 ,  30.9375 ,  33.75   ,  29.53125,  32.34375,  36.5625 ,\n",
       "        30.9375 ,  35.15625,  35.15625,  35.15625,  35.15625,  36.5625 ,\n",
       "        42.1875 ,  39.375  ,  39.375  ,  37.96875,  37.96875,  36.5625 ,\n",
       "        36.5625 ,  39.375  ,  35.15625,  36.5625 ,  43.59375,  45.     ,\n",
       "        43.59375,  43.59375,  33.75   ,  37.96875,  37.96875,  35.15625,\n",
       "        39.375  ,  40.78125,  35.15625,  36.5625 ,  36.5625 ,  35.15625,\n",
       "        33.75   ,  30.9375 ,  32.34375,  33.75   ,  33.75   ,  36.5625 ,\n",
       "        32.34375,  29.53125,  26.71875,  30.9375 ,  30.9375 ,  30.9375 ,\n",
       "        33.75   ,  33.75   ,  32.34375,  32.34375,  28.125  ,  21.09375,\n",
       "...\n",
       "        22.5    ,  16.875  ,  28.125  ,  19.6875 ,  23.90625,  23.90625,\n",
       "        23.90625,  23.90625,  28.125  ,  26.71875,  21.09375,  21.09375,\n",
       "        22.5    ,  25.3125 ,  26.71875,  29.53125,  28.125  ,  25.3125 ,\n",
       "        26.71875,  26.71875,  30.9375 ,  30.9375 ,  29.53125,  26.71875,\n",
       "        28.125  ,  21.09375,  26.71875,  28.125  ,  25.3125 ,  18.28125,\n",
       "        23.90625,  21.09375,  22.5    ,  23.90625,  28.125  ,  30.9375 ,\n",
       "        26.71875,  30.9375 ,  32.34375,  35.15625,  43.59375,  42.1875 ,\n",
       "        42.1875 ,  37.96875,  33.75   ,  29.53125,  30.9375 ,  29.53125,\n",
       "        30.9375 ,  28.125  ,  32.34375,  25.3125 ,  26.71875,  33.75   ,\n",
       "        30.9375 ,  35.15625,  25.3125 ,  29.53125,  29.53125,  29.53125,\n",
       "        30.9375 ,  28.125  ,  28.125  ,  29.53125,  29.53125,  28.125  ,\n",
       "        30.9375 ,  33.75   ,  33.75   ,  39.375  ,  37.96875,  35.15625,\n",
       "        32.34375,  42.1875 ,  45.     ,  42.1875 ,  42.1875 ,  43.59375,\n",
       "        40.78125,  40.78125,  40.78125,  39.375  ,  33.75   ,  33.75   ,\n",
       "        33.75   ,  29.53125,  32.34375,  39.375  ,  29.53125,  32.34375,\n",
       "        29.53125,  35.15625,  29.53125,  35.15625,  32.34375,  32.34375,\n",
       "        29.53125,  35.15625,  33.75   ,  30.9375 ,  28.125  ,  29.53125,\n",
       "        29.53125,  26.71875,  25.3125 ,  30.9375 ,  26.71875,  32.34375,\n",
       "        30.9375 ,  35.15625,  36.5625 ,  36.5625 ,  35.15625,  33.75   ],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>last_max</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>47.81 43.59 43.59 ... 45.0 49.22</div><input id='attrs-91b5ae63-d559-4896-8455-950c8ab04f26' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-91b5ae63-d559-4896-8455-950c8ab04f26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c2c3aa4-533a-4cde-b1da-1600c66c5ea5' class='xr-var-data-in' type='checkbox'><label for='data-5c2c3aa4-533a-4cde-b1da-1600c66c5ea5' title='Show/Hide data 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([ 47.8125 ,  43.59375,  43.59375,  45.     ,  46.40625,  43.59375,\n",
       "        43.59375,  43.59375,  47.8125 ,  54.84375,  50.625  ,  52.03125,\n",
       "        61.875  ,  54.84375,  47.8125 ,  49.21875,  46.40625,  43.59375,\n",
       "        47.8125 ,  42.1875 ,  42.1875 ,  40.78125,  46.40625,  40.78125,\n",
       "        46.40625,  45.     ,  45.     ,  42.1875 ,  40.78125,  45.     ,\n",
       "        46.40625,  43.59375,  40.78125,  43.59375,  45.     ,  45.     ,\n",
       "        42.1875 ,  42.1875 ,  42.1875 ,  46.40625,  50.625  ,  56.25   ,\n",
       "        57.65625,  52.03125,  52.03125,  52.03125,  46.40625,  46.40625,\n",
       "        49.21875,  49.21875,  52.03125,  56.25   ,  52.03125,  47.8125 ,\n",
       "        49.21875,  49.21875,  56.25   ,  50.625  ,  49.21875,  47.8125 ,\n",
       "        46.40625,  45.     ,  42.1875 ,  43.59375,  47.8125 ,  50.625  ,\n",
       "        54.84375,  45.     ,  42.1875 ,  43.59375,  39.375  ,  40.78125,\n",
       "        50.625  ,  47.8125 ,  46.40625,  45.     ,  46.40625,  49.21875,\n",
       "        53.4375 ,  49.21875,  50.625  ,  47.8125 ,  46.40625,  47.8125 ,\n",
       "        49.21875,  52.03125,  47.8125 ,  49.21875,  54.84375,  56.25   ,\n",
       "        54.84375,  56.25   ,  50.625  ,  57.65625,  59.0625 ,  52.03125,\n",
       "        50.625  ,  50.625  ,  47.8125 ,  46.40625,  46.40625,  45.     ,\n",
       "        43.59375,  39.375  ,  40.78125,  43.59375,  43.59375,  47.8125 ,\n",
       "        45.     ,  46.40625,  43.59375,  40.78125,  47.8125 ,  42.1875 ,\n",
       "        40.78125,  43.59375,  47.8125 ,  42.1875 ,  42.1875 ,  45.     ,\n",
       "...\n",
       "        36.5625 ,  40.78125,  36.5625 ,  33.75   ,  35.15625,  37.96875,\n",
       "        35.15625,  42.1875 ,  40.78125,  40.78125,  40.78125,  43.59375,\n",
       "        46.40625,  46.40625,  42.1875 ,  37.96875,  36.5625 ,  39.375  ,\n",
       "        40.78125,  42.1875 ,  42.1875 ,  39.375  ,  40.78125,  43.59375,\n",
       "        43.59375,  45.     ,  39.375  ,  39.375  ,  46.40625,  42.1875 ,\n",
       "        37.96875,  39.375  ,  39.375  ,  42.1875 ,  43.59375,  46.40625,\n",
       "        39.375  ,  43.59375,  45.     ,  50.625  ,  49.21875,  52.03125,\n",
       "        49.21875,  50.625  ,  46.40625,  46.40625,  39.375  ,  42.1875 ,\n",
       "        45.     ,  42.1875 ,  39.375  ,  39.375  ,  40.78125,  42.1875 ,\n",
       "        45.     ,  49.21875,  45.     ,  45.     ,  42.1875 ,  42.1875 ,\n",
       "        40.78125,  43.59375,  47.8125 ,  42.1875 ,  40.78125,  42.1875 ,\n",
       "        46.40625,  50.625  ,  56.25   ,  47.8125 ,  49.21875,  53.4375 ,\n",
       "        49.21875,  56.25   ,  57.65625,  59.0625 ,  54.84375,  59.0625 ,\n",
       "        60.46875,  54.84375,  54.84375,  56.25   ,  45.     ,  42.1875 ,\n",
       "        43.59375,  47.8125 ,  54.84375,  50.625  ,  56.25   ,  52.03125,\n",
       "        50.625  ,  46.40625,  46.40625,  47.8125 ,  43.59375,  46.40625,\n",
       "        42.1875 ,  46.40625,  52.03125,  49.21875,  46.40625,  43.59375,\n",
       "        47.8125 ,  45.     ,  42.1875 ,  46.40625,  49.21875,  46.40625,\n",
       "        39.375  ,  42.1875 ,  40.78125,  46.40625,  45.     ,  49.21875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>last_mean</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>37.87 35.46 35.76 ... 39.38 38.97</div><input id='attrs-d9502bfd-3209-4673-aabf-1e3e4b4920a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d9502bfd-3209-4673-aabf-1e3e4b4920a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a13f6d10-34cb-4b9c-91f5-f235950c65cd' class='xr-var-data-in' type='checkbox'><label for='data-a13f6d10-34cb-4b9c-91f5-f235950c65cd' title='Show/Hide data 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([ 37.868305,  35.45759 ,  35.75893 ,  40.982143,  40.078125,\n",
       "        38.370537,  37.566963,  39.97768 ,  39.174107,  41.484375,\n",
       "        40.78125 ,  40.47991 ,  44.899555,  42.99107 ,  43.09152 ,\n",
       "        43.29241 ,  40.881695,  40.580357,  41.28348 ,  39.475445,\n",
       "        39.375   ,  37.868305,  38.370537,  36.462055,  40.27902 ,\n",
       "        39.97768 ,  38.973213,  37.16518 ,  37.36607 ,  38.069195,\n",
       "        41.28348 ,  38.973213,  34.182693,  38.77232 ,  40.47991 ,\n",
       "        40.379463,  39.97768 ,  38.671875,  38.57143 ,  40.580357,\n",
       "        42.890625,  48.91741 ,  48.11384 ,  47.31027 ,  43.89509 ,\n",
       "        44.899555,  43.392857,  44.799107,  44.296875,  46.004463,\n",
       "        44.09598 ,  48.214287,  45.100445,  43.694195,  43.59375 ,\n",
       "        46.70759 ,  47.109375,  46.205357,  43.794643,  42.087055,\n",
       "        39.87723 ,  38.671875,  39.375   ,  40.78125 ,  42.1875  ,\n",
       "        43.59375 ,  43.59375 ,  36.763393,  36.662945,  36.964287,\n",
       "        37.265625,  38.77232 ,  40.680805,  40.680805,  39.97768 ,\n",
       "        40.379463,  41.58482 ,  43.89509 ,  46.808037,  44.49777 ,\n",
       "        45.100445,  43.493305,  41.785713,  42.388393,  43.392857,\n",
       "        43.794643,  40.673077,  43.392857,  48.816963,  49.921875,\n",
       "        49.620537,  50.02232 ,  44.598213,  46.70759 ,  45.80357 ,\n",
       "        41.986607,  46.506695,  45.200893,  42.287945,  42.1875  ,\n",
       "...\n",
       "        33.549107,  35.15625 ,  35.357143,  36.26116 ,  36.662945,\n",
       "        36.06027 ,  36.26116 ,  32.444195,  33.649555,  34.39904 ,\n",
       "        33.549107,  33.14732 ,  31.138393,  32.243305,  32.94643 ,\n",
       "        35.45759 ,  38.57143 ,  35.45759 ,  38.370537,  39.07366 ,\n",
       "        42.826706,  46.125   ,  45.200893,  45.9375  ,  43.59375 ,\n",
       "        41.38393 ,  36.86384 ,  36.361607,  38.069195,  38.671875,\n",
       "        36.160713,  36.06027 ,  34.955357,  34.65402 ,  37.566963,\n",
       "        37.46652 ,  41.785713,  36.763393,  38.47098 ,  36.160713,\n",
       "        36.662945,  36.964287,  34.35268 ,  36.361607,  34.55357 ,\n",
       "        34.453125,  35.055805,  38.973213,  41.08259 ,  44.09598 ,\n",
       "        43.392857,  45.      ,  44.799107,  41.484375,  49.118305,\n",
       "        50.32366 ,  50.524555,  49.118305,  51.12723 ,  49.759617,\n",
       "        48.013393,  46.10491 ,  46.08173 ,  38.87277 ,  39.07366 ,\n",
       "        38.169643,  38.973213,  43.493305,  44.69866 ,  42.79018 ,\n",
       "        40.881695,  41.88616 ,  40.47991 ,  38.973213,  40.78125 ,\n",
       "        40.078125,  38.069195,  37.66741 ,  39.274555,  43.29241 ,\n",
       "        39.87723 ,  37.536057,  36.662945,  39.87723 ,  37.06473 ,\n",
       "        35.055805,  37.566963,  36.995193,  39.87723 ,  35.859375,\n",
       "        39.174107,  38.57143 ,  40.078125,  39.375   ,  38.973213],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>last_median</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>35.86 34.45 36.56 ... 39.38 38.67</div><input id='attrs-9ae821f7-6ab0-4886-89f4-f3a7e083d376' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9ae821f7-6ab0-4886-89f4-f3a7e083d376' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3af5e780-4852-434f-b8ac-aeaf0b15cc95' class='xr-var-data-in' type='checkbox'><label for='data-3af5e780-4852-434f-b8ac-aeaf0b15cc95' title='Show/Hide data 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([ 35.859375,  34.453125,  36.5625  ,  41.484375,  40.078125,\n",
       "        38.671875,  37.96875 ,  40.78125 ,  38.671875,  40.078125,\n",
       "        40.078125,  38.671875,  42.1875  ,  40.78125 ,  43.59375 ,\n",
       "        45.      ,  40.078125,  40.78125 ,  40.78125 ,  39.375   ,\n",
       "        39.375   ,  37.96875 ,  37.265625,  37.265625,  40.078125,\n",
       "        40.078125,  39.375   ,  36.5625  ,  37.96875 ,  37.96875 ,\n",
       "        42.1875  ,  38.671875,  35.15625 ,  40.78125 ,  42.1875  ,\n",
       "        40.78125 ,  39.375   ,  39.375   ,  38.671875,  40.78125 ,\n",
       "        41.484375,  48.515625,  48.515625,  46.40625 ,  43.59375 ,\n",
       "        43.59375 ,  43.59375 ,  45.      ,  43.59375 ,  46.40625 ,\n",
       "        42.1875  ,  47.8125  ,  45.703125,  44.296875,  43.59375 ,\n",
       "        46.40625 ,  46.40625 ,  46.40625 ,  43.59375 ,  42.1875  ,\n",
       "        40.78125 ,  38.671875,  39.375   ,  40.78125 ,  42.1875  ,\n",
       "        43.59375 ,  41.484375,  35.859375,  35.15625 ,  36.5625  ,\n",
       "        37.96875 ,  37.96875 ,  40.78125 ,  40.078125,  39.375   ,\n",
       "        40.78125 ,  42.1875  ,  43.59375 ,  47.109375,  43.59375 ,\n",
       "        45.      ,  43.59375 ,  42.1875  ,  42.1875  ,  43.59375 ,\n",
       "        42.1875  ,  40.78125 ,  45.      ,  49.21875 ,  49.921875,\n",
       "        50.625   ,  49.921875,  45.      ,  45.      ,  45.      ,\n",
       "        40.78125 ,  47.109375,  45.703125,  42.890625,  42.890625,\n",
       "...\n",
       "        33.046875,  33.75    ,  35.15625 ,  37.96875 ,  37.265625,\n",
       "        36.5625  ,  35.15625 ,  33.046875,  33.75    ,  32.34375 ,\n",
       "        35.15625 ,  33.75    ,  32.34375 ,  32.34375 ,  33.75    ,\n",
       "        35.859375,  38.671875,  36.5625  ,  37.96875 ,  39.375   ,\n",
       "        40.78125 ,  46.40625 ,  43.59375 ,  46.40625 ,  43.59375 ,\n",
       "        40.78125 ,  37.265625,  36.5625  ,  38.671875,  40.78125 ,\n",
       "        35.859375,  35.859375,  35.15625 ,  35.15625 ,  39.375   ,\n",
       "        36.5625  ,  42.1875  ,  35.859375,  39.375   ,  36.5625  ,\n",
       "        37.265625,  37.96875 ,  33.046875,  35.15625 ,  33.75    ,\n",
       "        35.15625 ,  34.453125,  40.078125,  40.78125 ,  45.      ,\n",
       "        43.59375 ,  46.40625 ,  45.      ,  42.1875  ,  49.21875 ,\n",
       "        49.21875 ,  50.625   ,  49.921875,  50.625   ,  49.21875 ,\n",
       "        48.515625,  43.59375 ,  45.      ,  39.375   ,  39.375   ,\n",
       "        39.375   ,  39.375   ,  42.890625,  45.      ,  42.890625,\n",
       "        40.78125 ,  41.484375,  40.078125,  40.78125 ,  40.78125 ,\n",
       "        41.484375,  37.96875 ,  39.375   ,  38.671875,  43.59375 ,\n",
       "        37.96875 ,  37.96875 ,  37.265625,  38.671875,  37.96875 ,\n",
       "        35.859375,  37.265625,  35.15625 ,  40.78125 ,  36.5625  ,\n",
       "        39.375   ,  39.375   ,  39.375   ,  39.375   ,  38.671875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>last_idx</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>352 348 346 325 ... 357 357 357 357</div><input id='attrs-2ba5defe-1bb2-4bb9-92c2-2362350d9aca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2ba5defe-1bb2-4bb9-92c2-2362350d9aca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc3370ac-9fd9-425a-8438-ae413738cb07' class='xr-var-data-in' type='checkbox'><label for='data-cc3370ac-9fd9-425a-8438-ae413738cb07' title='Show/Hide data 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([352, 348, 346, 325, 325, 324, 922, 320, 316, 315, 315, 316, 409,\n",
       "       412, 413, 416, 407, 406, 405, 405, 405, 404, 430, 435, 382, 426,\n",
       "       425, 425, 425, 422, 557, 558, 674, 678, 678, 678, 678, 678, 682,\n",
       "       679, 682, 692, 696, 697, 709, 708, 710, 710, 710, 697, 691, 682,\n",
       "       660, 655, 656, 639, 775, 775, 774, 769, 768, 767, 446, 441, 441,\n",
       "       441, 440, 434, 425, 418, 416, 415, 864, 876, 872, 872, 873, 858,\n",
       "       858, 851, 851, 848, 844, 843, 844, 843, 828, 780, 805, 805, 800,\n",
       "       799, 762, 740, 736, 730, 707, 702, 689, 688, 687, 660, 660, 654,\n",
       "       654, 651, 651, 659, 650, 650, 648, 647, 647, 642, 639, 638, 629,\n",
       "       617, 616, 612, 536, 525, 518, 517, 516, 512, 438, 428, 426, 426,\n",
       "       426, 419, 418, 413, 409, 408, 408, 400, 400, 399, 399, 398, 398,\n",
       "       397, 393, 392, 390, 390, 389, 128, 134, 130, 127, 133, 129, 129,\n",
       "       127, 120, 126, 126, 126, 127, 135, 123, 131, 125, 128, 118, 116,\n",
       "       116, 119, 128, 128, 128, 142, 142, 141, 142, 136, 137, 137, 134,\n",
       "       132, 132, 134, 135, 136, 137, 137, 137, 145, 157, 157, 157, 157,\n",
       "       157, 156, 156, 156, 160, 159, 233, 233, 237, 242, 242, 242, 250,\n",
       "       251, 251, 263, 268, 269, 272, 276, 277, 280, 280, 284, 287, 287,\n",
       "       288, 288, 289, 289, 288, 288, 206, 206, 209, 208, 208, 214, 213,\n",
       "       213, 224, 226, 234, 235, 235, 235, 247, 253, 253, 253, 253, 254,\n",
       "       254, 254, 187, 182, 182, 195, 198, 202, 198, 198, 206, 209, 209,\n",
       "...\n",
       "        19,  19,  19,  19,  19,  19,  19,  19,  18,  18,  17,  17,  17,\n",
       "        17, 238, 234, 237, 227, 227, 227, 227, 227, 221, 222, 222, 221,\n",
       "       220, 223, 223, 230, 226, 211, 214, 206, 212, 212, 234, 189, 190,\n",
       "       193, 203, 202, 202, 202, 202, 188, 191, 200, 200, 201, 200, 202,\n",
       "       200, 201, 202, 193, 193, 196, 176, 199, 196, 196, 195, 195, 189,\n",
       "       219, 222, 209, 209, 209, 225, 225, 225, 311, 311, 313, 313, 319,\n",
       "       319, 319, 319, 319, 319, 242, 242, 242, 214, 212, 212, 212, 190,\n",
       "       209, 189, 188, 188, 195, 187, 195, 185, 188, 188, 188, 193, 190,\n",
       "       190, 182, 183, 163, 163, 180, 183, 187, 187, 188, 151, 160, 152,\n",
       "       163, 163, 170, 207, 207, 222, 215, 222, 221, 221, 159, 163, 187,\n",
       "       189, 169, 177, 213, 206, 207, 176, 176, 209, 223, 174, 387, 209,\n",
       "       185, 204, 207, 207, 169, 189, 347, 384, 406, 406, 407, 407, 408,\n",
       "       406, 406, 406, 406, 406, 405, 397, 397, 396, 393, 201, 249, 249,\n",
       "       253, 252, 253, 254, 253, 133, 132, 114, 117, 117, 127, 134, 129,\n",
       "       132, 187, 213, 221, 236, 244, 246, 273, 272, 273, 263, 270, 281,\n",
       "       281, 285, 285, 285, 291, 291, 286, 286, 286, 280, 274, 270, 255,\n",
       "       252, 252, 249, 898, 899, 899, 891, 908, 905, 909, 906, 902, 486,\n",
       "       486, 490, 500, 547, 563, 589, 589, 583, 573, 572, 565, 554, 549,\n",
       "       548, 545, 782, 781, 528, 774, 482, 479, 472, 471, 469, 425, 407,\n",
       "       366, 357, 357, 357, 357])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a4853b95-97fe-4916-9d7f-106dfef7ff5d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a4853b95-97fe-4916-9d7f-106dfef7ff5d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (azimuth: 720, range: 936)\n",
       "Coordinates:\n",
       "  * azimuth       (azimuth) float64 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\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",
       "    rtime         (azimuth) datetime64[ns] 2022-02-16T13:45:28.941817600 ... ...\n",
       "  * range         (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time          datetime64[ns] 2022-02-16T13:45:01\n",
       "    sweep_mode    <U20 'azimuth_surveillance'\n",
       "    longitude     float64 13.24\n",
       "    latitude      float64 53.55\n",
       "    altitude      float64 38.0\n",
       "Data variables: (12/15)\n",
       "    phib          (azimuth, range) float64 nan nan nan nan ... nan nan nan nan\n",
       "    offset        float64 450.0\n",
       "    offset_idx    int64 6\n",
       "    start_range   (azimuth) float32 7.988e+03 7.838e+03 ... 7.988e+03 7.988e+03\n",
       "    stop_range    (azimuth) float32 2.651e+04 2.621e+04 ... 2.689e+04 2.689e+04\n",
       "    first_min     (azimuth) float32 32.34 32.34 36.56 ... 36.56 30.94 33.75\n",
       "    ...            ...\n",
       "    first_idx     (azimuth) int64 106 104 106 105 105 ... 124 123 123 106 106\n",
       "    last_min      (azimuth) float32 32.34 30.94 29.53 ... 36.56 35.16 33.75\n",
       "    last_max      (azimuth) float32 47.81 43.59 43.59 45.0 ... 46.41 45.0 49.22\n",
       "    last_mean     (azimuth) float32 37.87 35.46 35.76 ... 40.08 39.38 38.97\n",
       "    last_median   (azimuth) float32 35.86 34.45 36.56 ... 39.38 39.38 38.67\n",
       "    last_idx      (azimuth) int64 352 348 346 325 325 ... 366 357 357 357 357"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cphase = wrf.attenuation_corr.phase_zphi(ds_clutter_corr.PHIDP,\n",
    "                                         rng=1000.0,\n",
    "                                         start_range=0.0)\n",
    "\n",
    "display(cphase)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "929de195",
   "metadata": {},
   "source": [
    "# ZPHI - Method "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc8688d8",
   "metadata": {},
   "source": [
    "In the ```zphi``` function the PHIDP is recalcuted and also the KDP. The specific attenuation (AH_ZPHI) is generated and can also be used for the precipitation estimation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1f8579cd",
   "metadata": {},
   "outputs": [
    {
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       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (azimuth: 720, range: 936)\n",
       "Coordinates:\n",
       "  * azimuth       (azimuth) float64 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\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",
       "    rtime         (azimuth) datetime64[ns] 2022-02-16T13:45:28.941817600 ... ...\n",
       "  * range         (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time          datetime64[ns] 2022-02-16T13:45:01\n",
       "    sweep_mode    &lt;U20 &#x27;azimuth_surveillance&#x27;\n",
       "    longitude     float64 13.24\n",
       "    latitude      float64 53.55\n",
       "    altitude      float64 38.0\n",
       "Data variables:\n",
       "    PHIDP_RECALC  (azimuth, range) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    AH_ZPHI       (azimuth, range) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    KDP_RECALC    (azimuth, range) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</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-979394ef-adb6-4cae-b0cf-fd8c188fe713' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-979394ef-adb6-4cae-b0cf-fd8c188fe713' 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>: 720</li><li><span class='xr-has-index'>range</span>: 936</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6a1972e7-cb88-4de7-b22e-0b78a416b58b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a1972e7-cb88-4de7-b22e-0b78a416b58b' 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'>0.25 0.75 1.25 ... 359.2 359.8</div><input id='attrs-e0fea1a4-b205-4185-9fad-e80479988aad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0fea1a4-b205-4185-9fad-e80479988aad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73212b29-d649-4274-b90a-886f5128fb7e' class='xr-var-data-in' type='checkbox'><label for='data-73212b29-d649-4274-b90a-886f5128fb7e' title='Show/Hide data repr'><svg 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>1</dd><dt><span>angle_res :</span></dt><dd>0.5</dd></dl></div><div class='xr-var-data'><pre>array([2.5000e-01, 7.5000e-01, 1.2500e+00, ..., 3.5875e+02, 3.5925e+02,\n",
       "       3.5975e+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-7478256e-064f-4bed-b92a-6bd89c9c3cbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7478256e-064f-4bed-b92a-6bd89c9c3cbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7612e2a0-4517-4af1-8edf-2bf249c722ad' class='xr-var-data-in' type='checkbox'><label for='data-7612e2a0-4517-4af1-8edf-2bf249c722ad' title='Show/Hide data repr'><svg 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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\n",
       "...\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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>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'>2022-02-16T13:45:28.941817600 .....</div><input id='attrs-10d22deb-a083-4963-9b67-9bfc69b5d743' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10d22deb-a083-4963-9b67-9bfc69b5d743' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-281a8567-857f-426d-967d-23f4baae7e5a' class='xr-var-data-in' type='checkbox'><label for='data-281a8567-857f-426d-967d-23f4baae7e5a' title='Show/Hide data repr'><svg 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([&#x27;2022-02-16T13:45:28.941817600&#x27;, &#x27;2022-02-16T13:45:28.980652544&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.019417600&#x27;, &#x27;2022-02-16T13:45:01.058252544&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.097087744&#x27;, &#x27;2022-02-16T13:45:01.135922688&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.174757632&#x27;, &#x27;2022-02-16T13:45:01.213592832&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.252427776&#x27;, &#x27;2022-02-16T13:45:01.291262976&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.330097920&#x27;, &#x27;2022-02-16T13:45:01.368932864&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.407768064&#x27;, &#x27;2022-02-16T13:45:01.446603008&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.485438208&#x27;, &#x27;2022-02-16T13:45:01.524273152&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.563108096&#x27;, &#x27;2022-02-16T13:45:01.601943296&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.640778240&#x27;, &#x27;2022-02-16T13:45:01.679613440&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.718448384&#x27;, &#x27;2022-02-16T13:45:01.757283328&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.796118528&#x27;, &#x27;2022-02-16T13:45:01.834953472&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.873788672&#x27;, &#x27;2022-02-16T13:45:01.912623616&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.951458816&#x27;, &#x27;2022-02-16T13:45:01.990293760&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.029128704&#x27;, &#x27;2022-02-16T13:45:02.067963904&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.106798848&#x27;, &#x27;2022-02-16T13:45:02.145634048&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.184468992&#x27;, &#x27;2022-02-16T13:45:02.223303936&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.262139136&#x27;, &#x27;2022-02-16T13:45:02.300974080&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.339809280&#x27;, &#x27;2022-02-16T13:45:02.378644224&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.417479168&#x27;, &#x27;2022-02-16T13:45:02.456314368&#x27;,\n",
       "...\n",
       "       &#x27;2022-02-16T13:45:27.466085632&#x27;, &#x27;2022-02-16T13:45:27.504920832&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.543755776&#x27;, &#x27;2022-02-16T13:45:27.582590720&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.621425920&#x27;, &#x27;2022-02-16T13:45:27.660260864&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.699096064&#x27;, &#x27;2022-02-16T13:45:27.737931008&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.776765952&#x27;, &#x27;2022-02-16T13:45:27.815601152&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.854436096&#x27;, &#x27;2022-02-16T13:45:27.893271296&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.932106240&#x27;, &#x27;2022-02-16T13:45:27.970941184&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.009776384&#x27;, &#x27;2022-02-16T13:45:28.048611328&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.087446528&#x27;, &#x27;2022-02-16T13:45:28.126281472&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.165116672&#x27;, &#x27;2022-02-16T13:45:28.203951616&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.242786560&#x27;, &#x27;2022-02-16T13:45:28.281621760&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.320456704&#x27;, &#x27;2022-02-16T13:45:28.359291904&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.398126848&#x27;, &#x27;2022-02-16T13:45:28.436961792&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.475796992&#x27;, &#x27;2022-02-16T13:45:28.514631936&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.553467136&#x27;, &#x27;2022-02-16T13:45:28.592302080&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.631137024&#x27;, &#x27;2022-02-16T13:45:28.669972224&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.708807168&#x27;, &#x27;2022-02-16T13:45:28.747642368&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.786477312&#x27;, &#x27;2022-02-16T13:45:28.825312256&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.864147456&#x27;, &#x27;2022-02-16T13:45:28.902982400&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</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'>37.5 112.5 ... 7.009e+04 7.016e+04</div><input id='attrs-616cedb8-211c-48bf-a75c-35450d464c73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-616cedb8-211c-48bf-a75c-35450d464c73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-058fbbe5-f7b8-41ee-893c-8438b2e2e764' class='xr-var-data-in' type='checkbox'><label for='data-058fbbe5-f7b8-41ee-893c-8438b2e2e764' title='Show/Hide data repr'><svg 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>37.5</dd><dt><span>meters_between_gates :</span></dt><dd>75.0</dd></dl></div><div class='xr-var-data'><pre>array([3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04, 7.00875e+04,\n",
       "       7.01625e+04], 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'>2022-02-16T13:45:01</div><input id='attrs-68e83d81-96c5-40f8-b3b9-99b2bc307812' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68e83d81-96c5-40f8-b3b9-99b2bc307812' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70a6b4b0-fb4c-4272-bd34-082b5333ba52' class='xr-var-data-in' type='checkbox'><label for='data-70a6b4b0-fb4c-4272-bd34-082b5333ba52' title='Show/Hide data repr'><svg 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(&#x27;2022-02-16T13:45:01.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</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'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;azimuth_surveillance&#x27;</div><input id='attrs-ff572e79-d8a6-4c52-aa91-a63d72a3a7ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff572e79-d8a6-4c52-aa91-a63d72a3a7ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78acac65-9b76-4246-8584-bd205a12a89e' class='xr-var-data-in' type='checkbox'><label for='data-78acac65-9b76-4246-8584-bd205a12a89e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;azimuth_surveillance&#x27;, dtype=&#x27;&lt;U20&#x27;)</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'>13.24</div><input id='attrs-4411c0f5-e2e3-4d29-b778-f5eb421c268e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4411c0f5-e2e3-4d29-b778-f5eb421c268e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-936f8d97-878d-4487-9034-2129a4d2fd6d' class='xr-var-data-in' type='checkbox'><label for='data-936f8d97-878d-4487-9034-2129a4d2fd6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(13.24397)</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'>53.55</div><input id='attrs-9e1baed5-ea33-4b59-b2a2-5ae20e7a6435' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e1baed5-ea33-4b59-b2a2-5ae20e7a6435' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5eae8d7a-feef-4c7b-a26f-bb6f80f54e3a' class='xr-var-data-in' type='checkbox'><label for='data-5eae8d7a-feef-4c7b-a26f-bb6f80f54e3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(53.55478)</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'>38.0</div><input id='attrs-06c480bd-b788-4e76-a419-eeb3c909b78f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06c480bd-b788-4e76-a419-eeb3c909b78f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49fde934-e2e9-4191-9c76-94e858cc271b' class='xr-var-data-in' type='checkbox'><label for='data-49fde934-e2e9-4191-9c76-94e858cc271b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(38.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-40c75eb8-747e-41f0-aeda-1b9f1261be15' class='xr-section-summary-in' type='checkbox'  checked><label for='section-40c75eb8-747e-41f0-aeda-1b9f1261be15' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>PHIDP_RECALC</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-277b1372-2d2c-4aeb-9bda-c504385a76b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-277b1372-2d2c-4aeb-9bda-c504385a76b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-237b1d09-9ef3-47fb-af02-9950080a4dae' class='xr-var-data-in' type='checkbox'><label for='data-237b1d09-9ef3-47fb-af02-9950080a4dae' title='Show/Hide data repr'><svg 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>radar_differential_phase_hv</dd><dt><span>long_name :</span></dt><dd>Differential phase HV</dd><dt><span>short_name :</span></dt><dd>PHIDP</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([[0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
       "        0.       ],\n",
       "       [0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
       "        0.       ],\n",
       "       [0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
       "        0.       ],\n",
       "       ...,\n",
       "       [0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
       "        0.       ],\n",
       "       [0.       , 0.       , 0.       , ..., 1.4429669, 1.4429669,\n",
       "        1.4429669],\n",
       "       [0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
       "        0.       ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AH_ZPHI</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-851d2c1c-0524-40e5-b952-2646e4a8044c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-851d2c1c-0524-40e5-b952-2646e4a8044c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60b4b36f-d51b-4d97-a4e5-5e1dfa827b7c' class='xr-var-data-in' type='checkbox'><label for='data-60b4b36f-d51b-4d97-a4e5-5e1dfa827b7c' title='Show/Hide data repr'><svg 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>dB/km</dd><dt><span>standard_name :</span></dt><dd>specific_attenuation_h</dd><dt><span>long_name :</span></dt><dd>Specific attenuation H</dd><dt><span>short_name :</span></dt><dd>AH</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KDP_RECALC</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-1f0e3869-7a74-4a72-8c2f-25b9d47839ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f0e3869-7a74-4a72-8c2f-25b9d47839ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cc51a77-f822-45e2-bc97-afe195de108f' class='xr-var-data-in' type='checkbox'><label for='data-6cc51a77-f822-45e2-bc97-afe195de108f' title='Show/Hide data repr'><svg 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>radar_specific_differential_phase_hv</dd><dt><span>long_name :</span></dt><dd>Specific differential phase HV</dd><dt><span>short_name :</span></dt><dd>KDP</dd><dt><span>units :</span></dt><dd>degrees per kilometer</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-24867a48-3c37-4f76-8168-8d60ad736f8d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-24867a48-3c37-4f76-8168-8d60ad736f8d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (azimuth: 720, range: 936)\n",
       "Coordinates:\n",
       "  * azimuth       (azimuth) float64 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\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",
       "    rtime         (azimuth) datetime64[ns] 2022-02-16T13:45:28.941817600 ... ...\n",
       "  * range         (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time          datetime64[ns] 2022-02-16T13:45:01\n",
       "    sweep_mode    <U20 'azimuth_surveillance'\n",
       "    longitude     float64 13.24\n",
       "    latitude      float64 53.55\n",
       "    altitude      float64 38.0\n",
       "Data variables:\n",
       "    PHIDP_RECALC  (azimuth, range) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    AH_ZPHI       (azimuth, range) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    KDP_RECALC    (azimuth, range) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_zphi=wrf.attenuation_corr.zphi(ds_clutter_corr.DBZH_no_clutter,\n",
    "                                  cphase=cphase, \n",
    "                                  alphax=0.28, \n",
    "                                  bx=0.78)\n",
    "ds_zphi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "96dec59f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# plot PHIDP Recalc and PHIDP raw\n",
    "# georefenced dataset for plot\n",
    "ds_zphi_georef=ds_zphi.pipe(wrl.georef.georeference_dataset)\n",
    "ds_clutter_corr_georef = ds_clutter_corr.pipe(wrl.georef.georeference_dataset)\n",
    "\n",
    "# plot\n",
    "fig = plt.figure(figsize=(14, 5))\n",
    "\n",
    "# first subplot\n",
    "ax1 = fig.add_subplot(121)\n",
    "ds_clutter_corr_georef.PHIDP.plot(x=\"x\", y=\"y\", ax=ax1, vmin=0, vmax=40)\n",
    "t = plt.title(r'Raw PHIDP')\n",
    "t.set_y(1.1)\n",
    "\n",
    "# second subplot\n",
    "ax2 = fig.add_subplot(122)\n",
    "ds_zphi_georef.PHIDP_RECALC.plot(x=\"x\", y=\"y\", ax=ax2)\n",
    "t = plt.title(r'Recalculated PHIDP')\n",
    "t.set_y(1.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7b09192",
   "metadata": {},
   "source": [
    "# Attenuation correction"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd6feb9f",
   "metadata": {},
   "source": [
    "Now, the attenuation correction can be done."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a1093454",
   "metadata": {},
   "outputs": [],
   "source": [
    "zhcorr = ds_clutter_corr.DBZH_no_clutter + 0.28 * ds_zphi.PHIDP_RECALC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c1d412ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_clutter_corr[\"DBZH_CORR\"] = xr.DataArray(zhcorr,\n",
    "                                            dims=[\"azimuth\", \"range\"],\n",
    "                                            attrs=ds_clutter_corr.DBZH.attrs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7d4e7d4d",
   "metadata": {},
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:          (azimuth: 720, range: 936)\n",
       "Coordinates: (12/15)\n",
       "  * azimuth          (azimuth) float64 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\n",
       "    elevation        (azimuth) float64 0.5 0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5\n",
       "    rtime            (azimuth) datetime64[ns] 2022-02-16T13:45:28.941817600 ....\n",
       "  * range            (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time             datetime64[ns] 2022-02-16T13:45:01\n",
       "    sweep_mode       &lt;U20 &#x27;azimuth_surveillance&#x27;\n",
       "    ...               ...\n",
       "    x                (azimuth, range) float64 0.1636 0.4909 ... -305.8 -306.1\n",
       "    y                (azimuth, range) float64 37.5 112.5 ... 7.008e+04 7.015e+04\n",
       "    z                (azimuth, range) float64 38.3 38.95 39.61 ... 939.2 940.3\n",
       "    gr               (azimuth, range) float64 37.5 112.5 ... 7.008e+04 7.015e+04\n",
       "    rays             (azimuth, range) float64 0.25 0.25 0.25 ... 359.8 359.8\n",
       "    bins             (azimuth, range) float32 37.5 112.5 ... 7.009e+04 7.016e+04\n",
       "Data variables:\n",
       "    RATE             (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    DBZH             (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    VRAD             (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    ZDR              (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    KDP              (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    PHIDP            (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    RHOHV            (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    WRAD             (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    QC_INFO          (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    FUZZ             (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    DBZH_no_clutter  (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    DBZH_CORR        (azimuth, range) float64 nan nan nan 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-f2bd3689-100b-4efd-8067-07dede9d7d53' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f2bd3689-100b-4efd-8067-07dede9d7d53' 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>: 720</li><li><span class='xr-has-index'>range</span>: 936</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e0076ed0-9210-461f-9c8f-64fc354e35f2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e0076ed0-9210-461f-9c8f-64fc354e35f2' class='xr-section-summary' >Coordinates: <span>(15)</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'>0.25 0.75 1.25 ... 359.2 359.8</div><input id='attrs-646d9278-0f42-4dce-aecd-38863577a3fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-646d9278-0f42-4dce-aecd-38863577a3fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2680388f-8b0e-4c94-9756-68e349aa6626' class='xr-var-data-in' type='checkbox'><label for='data-2680388f-8b0e-4c94-9756-68e349aa6626' title='Show/Hide data 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([2.5000e-01, 7.5000e-01, 1.2500e+00, ..., 3.5875e+02, 3.5925e+02,\n",
       "       3.5975e+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-d5409031-a482-4a58-bac9-b549b07b2994' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d5409031-a482-4a58-bac9-b549b07b2994' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1c68f35-1fe4-4c05-8bc0-7c2939338551' class='xr-var-data-in' type='checkbox'><label for='data-d1c68f35-1fe4-4c05-8bc0-7c2939338551' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.5, 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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\n",
       "...\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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,\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>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'>2022-02-16T13:45:28.941817600 .....</div><input id='attrs-30c7d004-4bb7-47d5-9839-b660aacf24de' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-30c7d004-4bb7-47d5-9839-b660aacf24de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a885f7e-ecce-41e9-bef1-358c677af74a' class='xr-var-data-in' type='checkbox'><label for='data-8a885f7e-ecce-41e9-bef1-358c677af74a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-02-16T13:45:28.941817600&#x27;, &#x27;2022-02-16T13:45:28.980652544&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.019417600&#x27;, &#x27;2022-02-16T13:45:01.058252544&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.097087744&#x27;, &#x27;2022-02-16T13:45:01.135922688&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.174757632&#x27;, &#x27;2022-02-16T13:45:01.213592832&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.252427776&#x27;, &#x27;2022-02-16T13:45:01.291262976&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.330097920&#x27;, &#x27;2022-02-16T13:45:01.368932864&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.407768064&#x27;, &#x27;2022-02-16T13:45:01.446603008&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.485438208&#x27;, &#x27;2022-02-16T13:45:01.524273152&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.563108096&#x27;, &#x27;2022-02-16T13:45:01.601943296&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.640778240&#x27;, &#x27;2022-02-16T13:45:01.679613440&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.718448384&#x27;, &#x27;2022-02-16T13:45:01.757283328&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.796118528&#x27;, &#x27;2022-02-16T13:45:01.834953472&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.873788672&#x27;, &#x27;2022-02-16T13:45:01.912623616&#x27;,\n",
       "       &#x27;2022-02-16T13:45:01.951458816&#x27;, &#x27;2022-02-16T13:45:01.990293760&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.029128704&#x27;, &#x27;2022-02-16T13:45:02.067963904&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.106798848&#x27;, &#x27;2022-02-16T13:45:02.145634048&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.184468992&#x27;, &#x27;2022-02-16T13:45:02.223303936&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.262139136&#x27;, &#x27;2022-02-16T13:45:02.300974080&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.339809280&#x27;, &#x27;2022-02-16T13:45:02.378644224&#x27;,\n",
       "       &#x27;2022-02-16T13:45:02.417479168&#x27;, &#x27;2022-02-16T13:45:02.456314368&#x27;,\n",
       "...\n",
       "       &#x27;2022-02-16T13:45:27.466085632&#x27;, &#x27;2022-02-16T13:45:27.504920832&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.543755776&#x27;, &#x27;2022-02-16T13:45:27.582590720&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.621425920&#x27;, &#x27;2022-02-16T13:45:27.660260864&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.699096064&#x27;, &#x27;2022-02-16T13:45:27.737931008&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.776765952&#x27;, &#x27;2022-02-16T13:45:27.815601152&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.854436096&#x27;, &#x27;2022-02-16T13:45:27.893271296&#x27;,\n",
       "       &#x27;2022-02-16T13:45:27.932106240&#x27;, &#x27;2022-02-16T13:45:27.970941184&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.009776384&#x27;, &#x27;2022-02-16T13:45:28.048611328&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.087446528&#x27;, &#x27;2022-02-16T13:45:28.126281472&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.165116672&#x27;, &#x27;2022-02-16T13:45:28.203951616&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.242786560&#x27;, &#x27;2022-02-16T13:45:28.281621760&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.320456704&#x27;, &#x27;2022-02-16T13:45:28.359291904&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.398126848&#x27;, &#x27;2022-02-16T13:45:28.436961792&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.475796992&#x27;, &#x27;2022-02-16T13:45:28.514631936&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.553467136&#x27;, &#x27;2022-02-16T13:45:28.592302080&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.631137024&#x27;, &#x27;2022-02-16T13:45:28.669972224&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.708807168&#x27;, &#x27;2022-02-16T13:45:28.747642368&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.786477312&#x27;, &#x27;2022-02-16T13:45:28.825312256&#x27;,\n",
       "       &#x27;2022-02-16T13:45:28.864147456&#x27;, &#x27;2022-02-16T13:45:28.902982400&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</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'>37.5 112.5 ... 7.009e+04 7.016e+04</div><input id='attrs-d3e603a9-b542-4dc3-a960-ef3a2c5b652e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3e603a9-b542-4dc3-a960-ef3a2c5b652e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fab17703-7afb-469c-8e05-d15a35246448' class='xr-var-data-in' type='checkbox'><label for='data-fab17703-7afb-469c-8e05-d15a35246448' title='Show/Hide data repr'><svg 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>37.5</dd><dt><span>meters_between_gates :</span></dt><dd>75.0</dd></dl></div><div class='xr-var-data'><pre>array([3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04, 7.00875e+04,\n",
       "       7.01625e+04], 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'>2022-02-16T13:45:01</div><input id='attrs-972f83f3-25b5-4224-9d59-07a1f7850ce4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-972f83f3-25b5-4224-9d59-07a1f7850ce4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c73090b9-fcae-4623-9ed4-998d149f520b' class='xr-var-data-in' type='checkbox'><label for='data-c73090b9-fcae-4623-9ed4-998d149f520b' title='Show/Hide data repr'><svg 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(&#x27;2022-02-16T13:45:01.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</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'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;azimuth_surveillance&#x27;</div><input id='attrs-dd7550c0-646c-41c8-91a8-26ead6064c8f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dd7550c0-646c-41c8-91a8-26ead6064c8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d47a47f0-62a8-4b88-b42b-1e5a1917ab53' class='xr-var-data-in' type='checkbox'><label for='data-d47a47f0-62a8-4b88-b42b-1e5a1917ab53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;azimuth_surveillance&#x27;, dtype=&#x27;&lt;U20&#x27;)</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'>13.24</div><input id='attrs-f85cfb97-0706-498b-b2d0-65775baf5856' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f85cfb97-0706-498b-b2d0-65775baf5856' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a5e0f16-92ab-4439-a13e-fcd191553efe' class='xr-var-data-in' type='checkbox'><label for='data-9a5e0f16-92ab-4439-a13e-fcd191553efe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(13.24397)</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'>53.55</div><input id='attrs-a53ad479-33b4-49e1-b35c-223c9595505a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a53ad479-33b4-49e1-b35c-223c9595505a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e907630e-9d36-421e-8cbe-4711ac934e63' class='xr-var-data-in' type='checkbox'><label for='data-e907630e-9d36-421e-8cbe-4711ac934e63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(53.55478)</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'>38.0</div><input id='attrs-a9acad3b-4f72-4cc4-b802-7a2f7057e32a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9acad3b-4f72-4cc4-b802-7a2f7057e32a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0cfab90-4550-4980-bb04-e5fb49e53c71' class='xr-var-data-in' type='checkbox'><label for='data-b0cfab90-4550-4980-bb04-e5fb49e53c71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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(38.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1636 0.4909 ... -305.8 -306.1</div><input id='attrs-b97ecb08-4251-4844-9d7e-e9dfd0d34d22' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b97ecb08-4251-4844-9d7e-e9dfd0d34d22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2308ada6-6903-4fd3-a532-8d2a0dcd1ba7' class='xr-var-data-in' type='checkbox'><label for='data-2308ada6-6903-4fd3-a532-8d2a0dcd1ba7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 1.63617129e-01,  4.90851351e-01,  8.18085521e-01, ...,\n",
       "         3.05444277e+02,  3.05771429e+02,  3.06098598e+02],\n",
       "       [ 4.90838928e-01,  1.47251667e+00,  2.45419426e+00, ...,\n",
       "         9.16309571e+02,  9.17291001e+02,  9.18272484e+02],\n",
       "       [ 8.18023348e-01,  2.45406985e+00,  4.09011611e+00, ...,\n",
       "         1.52710508e+03,  1.52874072e+03,  1.53037644e+03],\n",
       "       ...,\n",
       "       [-8.18023348e-01, -2.45406985e+00, -4.09011611e+00, ...,\n",
       "        -1.52710508e+03, -1.52874072e+03, -1.53037644e+03],\n",
       "       [-4.90838928e-01, -1.47251667e+00, -2.45419426e+00, ...,\n",
       "        -9.16309571e+02, -9.17291001e+02, -9.18272484e+02],\n",
       "       [-1.63617129e-01, -4.90851351e-01, -8.18085521e-01, ...,\n",
       "        -3.05444277e+02, -3.05771429e+02, -3.06098598e+02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.5 112.5 ... 7.008e+04 7.015e+04</div><input id='attrs-73347ae9-e3a0-41a8-b140-d3faae3ec0c6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-73347ae9-e3a0-41a8-b140-d3faae3ec0c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b81b590c-b61f-4fab-9f9f-ebf118f109f6' class='xr-var-data-in' type='checkbox'><label for='data-b81b590c-b61f-4fab-9f9f-ebf118f109f6' title='Show/Hide data 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([[3.74980459e+01, 1.12494129e+02, 1.87490201e+02, ...,\n",
       "        7.00022276e+04, 7.00772048e+04, 7.01521860e+04],\n",
       "       [3.74951903e+01, 1.12485562e+02, 1.87475923e+02, ...,\n",
       "        6.99968967e+04, 7.00718681e+04, 7.01468436e+04],\n",
       "       [3.74894793e+01, 1.12468429e+02, 1.87447367e+02, ...,\n",
       "        6.99862352e+04, 7.00611952e+04, 7.01361593e+04],\n",
       "       ...,\n",
       "       [3.74894793e+01, 1.12468429e+02, 1.87447367e+02, ...,\n",
       "        6.99862352e+04, 7.00611952e+04, 7.01361593e+04],\n",
       "       [3.74951903e+01, 1.12485562e+02, 1.87475923e+02, ...,\n",
       "        6.99968967e+04, 7.00718681e+04, 7.01468436e+04],\n",
       "       [3.74980459e+01, 1.12494129e+02, 1.87490201e+02, ...,\n",
       "        7.00022276e+04, 7.00772048e+04, 7.01521860e+04]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>38.3 38.95 39.61 ... 939.2 940.3</div><input id='attrs-4a41d11a-54f8-4b40-a117-c58abe88e690' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4a41d11a-54f8-4b40-a117-c58abe88e690' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d69e2470-a939-4c9b-9c9e-89340fafc03a' class='xr-var-data-in' type='checkbox'><label for='data-d69e2470-a939-4c9b-9c9e-89340fafc03a' title='Show/Hide data 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([[ 38.29707351,  38.95156364,  39.60605378, ..., 937.54351336,\n",
       "        939.18635562, 940.33497831],\n",
       "       [ 38.29707351,  38.95156364,  39.60605378, ..., 937.54351336,\n",
       "        939.18635562, 940.33497831],\n",
       "       [ 38.29707351,  38.95156364,  39.60605378, ..., 937.54351336,\n",
       "        939.18635562, 940.33497831],\n",
       "       ...,\n",
       "       [ 38.29707351,  38.95156364,  39.60605378, ..., 937.54351336,\n",
       "        939.18635562, 940.33497831],\n",
       "       [ 38.29707351,  38.95156364,  39.60605378, ..., 937.54351336,\n",
       "        939.18635562, 940.33497831],\n",
       "       [ 38.29707351,  38.95156364,  39.60605378, ..., 937.54351336,\n",
       "        939.18635562, 940.33497831]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gr</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.5 112.5 ... 7.008e+04 7.015e+04</div><input id='attrs-8c071173-61cb-488a-afc4-f6b9b2700ab7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c071173-61cb-488a-afc4-f6b9b2700ab7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ced376a9-145e-439b-976a-c0d117b4107b' class='xr-var-data-in' type='checkbox'><label for='data-ced376a9-145e-439b-976a-c0d117b4107b' title='Show/Hide data 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([[3.74984029e+01, 1.12495200e+02, 1.87491986e+02, ...,\n",
       "        7.00028940e+04, 7.00778719e+04, 7.01528538e+04],\n",
       "       [3.74984029e+01, 1.12495200e+02, 1.87491986e+02, ...,\n",
       "        7.00028940e+04, 7.00778719e+04, 7.01528538e+04],\n",
       "       [3.74984029e+01, 1.12495200e+02, 1.87491986e+02, ...,\n",
       "        7.00028940e+04, 7.00778719e+04, 7.01528538e+04],\n",
       "       ...,\n",
       "       [3.74984029e+01, 1.12495200e+02, 1.87491986e+02, ...,\n",
       "        7.00028940e+04, 7.00778719e+04, 7.01528538e+04],\n",
       "       [3.74984029e+01, 1.12495200e+02, 1.87491986e+02, ...,\n",
       "        7.00028940e+04, 7.00778719e+04, 7.01528538e+04],\n",
       "       [3.74984029e+01, 1.12495200e+02, 1.87491986e+02, ...,\n",
       "        7.00028940e+04, 7.00778719e+04, 7.01528538e+04]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rays</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.25 0.25 0.25 ... 359.8 359.8</div><input id='attrs-88a5c299-7dfb-498e-8f92-7a22139ddb65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-88a5c299-7dfb-498e-8f92-7a22139ddb65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5e96a45-6c12-4cc8-baa2-7319400c1bdb' class='xr-var-data-in' type='checkbox'><label for='data-b5e96a45-6c12-4cc8-baa2-7319400c1bdb' title='Show/Hide data 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([[2.5000e-01, 2.5000e-01, 2.5000e-01, ..., 2.5000e-01, 2.5000e-01,\n",
       "        2.5000e-01],\n",
       "       [7.5000e-01, 7.5000e-01, 7.5000e-01, ..., 7.5000e-01, 7.5000e-01,\n",
       "        7.5000e-01],\n",
       "       [1.2500e+00, 1.2500e+00, 1.2500e+00, ..., 1.2500e+00, 1.2500e+00,\n",
       "        1.2500e+00],\n",
       "       ...,\n",
       "       [3.5875e+02, 3.5875e+02, 3.5875e+02, ..., 3.5875e+02, 3.5875e+02,\n",
       "        3.5875e+02],\n",
       "       [3.5925e+02, 3.5925e+02, 3.5925e+02, ..., 3.5925e+02, 3.5925e+02,\n",
       "        3.5925e+02],\n",
       "       [3.5975e+02, 3.5975e+02, 3.5975e+02, ..., 3.5975e+02, 3.5975e+02,\n",
       "        3.5975e+02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bins</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>37.5 112.5 ... 7.009e+04 7.016e+04</div><input id='attrs-45904473-bc87-4598-a84d-da2170d95529' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45904473-bc87-4598-a84d-da2170d95529' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c512773-641e-4b4f-8b8b-c94c29b5457f' class='xr-var-data-in' type='checkbox'><label for='data-8c512773-641e-4b4f-8b8b-c94c29b5457f' title='Show/Hide data 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([[3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04,\n",
       "        7.00875e+04, 7.01625e+04],\n",
       "       [3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04,\n",
       "        7.00875e+04, 7.01625e+04],\n",
       "       [3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04,\n",
       "        7.00875e+04, 7.01625e+04],\n",
       "       ...,\n",
       "       [3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04,\n",
       "        7.00875e+04, 7.01625e+04],\n",
       "       [3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04,\n",
       "        7.00875e+04, 7.01625e+04],\n",
       "       [3.75000e+01, 1.12500e+02, 1.87500e+02, ..., 7.00125e+04,\n",
       "        7.00875e+04, 7.01625e+04]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dbcb2ac9-f97f-4fc4-9c9c-396e157908d0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dbcb2ac9-f97f-4fc4-9c9c-396e157908d0' class='xr-section-summary' >Data variables: <span>(12)</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>RATE</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-6df09942-7d1b-400b-8ffb-034ecbce42c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6df09942-7d1b-400b-8ffb-034ecbce42c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-caa7413f-f0dc-4d11-803a-78b501250045' class='xr-var-data-in' type='checkbox'><label for='data-caa7413f-f0dc-4d11-803a-78b501250045' title='Show/Hide data 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([[nan, nan, nan, ...,  1., nan, nan],\n",
       "       [nan, nan, nan, ...,  1.,  1.,  1.],\n",
       "       [nan, nan, nan, ...,  1.,  1.,  1.],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DBZH</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ada3fbaa-fa8b-4af6-bd13-72966347587e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ada3fbaa-fa8b-4af6-bd13-72966347587e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41aa9ef0-1114-4070-b1b4-c6d73f7f74fe' class='xr-var-data-in' type='checkbox'><label for='data-41aa9ef0-1114-4070-b1b4-c6d73f7f74fe' title='Show/Hide data 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([[        nan,         nan,         nan, ..., 22.66666667,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ..., 23.125     ,\n",
       "        22.83333333, 21.83333333],\n",
       "       [        nan,         nan,         nan, ..., 23.3       ,\n",
       "        22.83333333, 21.83333333],\n",
       "       ...,\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VRAD</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-04b988fd-3cb4-4ed4-be1b-23af768ddd42' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-04b988fd-3cb4-4ed4-be1b-23af768ddd42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb662b74-764e-4d1b-a969-f7e9f0be3a0d' class='xr-var-data-in' type='checkbox'><label for='data-bb662b74-764e-4d1b-a969-f7e9f0be3a0d' title='Show/Hide data 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([[        nan,         nan,         nan, ..., -0.66666667,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ..., -0.5       ,\n",
       "        -0.33333333, -0.33333333],\n",
       "       [        nan,         nan,         nan, ..., -0.4       ,\n",
       "        -0.33333333, -0.33333333],\n",
       "       ...,\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ZDR</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-b05f3ca0-99ac-4b9b-8961-b9ad613392ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b05f3ca0-99ac-4b9b-8961-b9ad613392ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad683173-f181-4062-9fbe-728b6abbec37' class='xr-var-data-in' type='checkbox'><label for='data-ad683173-f181-4062-9fbe-728b6abbec37' title='Show/Hide data 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([[        nan,         nan,         nan, ..., -0.11784808,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ..., -0.04736209,\n",
       "        -0.36726014, -0.56245208],\n",
       "       [        nan,         nan,         nan, ...,  0.10553827,\n",
       "        -0.36726014, -0.56245208],\n",
       "       ...,\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KDP</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-8abddb6e-4711-4655-963f-7fefa6567f81' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8abddb6e-4711-4655-963f-7fefa6567f81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36fae4c3-e32d-436f-8094-4d4855fa308b' class='xr-var-data-in' type='checkbox'><label for='data-36fae4c3-e32d-436f-8094-4d4855fa308b' title='Show/Hide data 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([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PHIDP</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-d31d7305-5488-48cd-b2b2-b4f4b1cd9231' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d31d7305-5488-48cd-b2b2-b4f4b1cd9231' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f3dcf7a-756d-458b-8ce8-f4ca8e31ba2a' class='xr-var-data-in' type='checkbox'><label for='data-9f3dcf7a-756d-458b-8ce8-f4ca8e31ba2a' title='Show/Hide data 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([[       nan,        nan,        nan, ..., 44.53125  ,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ..., 43.2421875, 45.46875  ,\n",
       "        50.15625  ],\n",
       "       [       nan,        nan,        nan, ..., 42.1875   , 45.46875  ,\n",
       "        50.15625  ],\n",
       "       ...,\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RHOHV</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-d31b6168-5beb-493f-ac9d-d4c4ab5c1782' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d31b6168-5beb-493f-ac9d-d4c4ab5c1782' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17b9100c-8957-4eaa-853a-c178b739c043' class='xr-var-data-in' type='checkbox'><label for='data-17b9100c-8957-4eaa-853a-c178b739c043' title='Show/Hide data 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([[       nan,        nan,        nan, ..., 0.98438001,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ..., 0.98853004, 0.97442007,\n",
       "        0.92462007],\n",
       "       [       nan,        nan,        nan, ..., 0.97209606, 0.97442007,\n",
       "        0.92462007],\n",
       "       ...,\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WRAD</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-db05925f-fab9-472b-a751-e6f180117814' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-db05925f-fab9-472b-a751-e6f180117814' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c389348f-0700-4c00-b70c-849d54722639' class='xr-var-data-in' type='checkbox'><label for='data-c389348f-0700-4c00-b70c-849d54722639' title='Show/Hide data 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([[       nan,        nan,        nan, ..., 3.08140628,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ..., 2.99812508, 2.88708337,\n",
       "        3.22020817],\n",
       "       [       nan,        nan,        nan, ..., 2.98146877, 2.88708337,\n",
       "        3.22020817],\n",
       "       ...,\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QC_INFO</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-14c7ac90-0ea5-471b-a5d2-ecd1135a2e57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-14c7ac90-0ea5-471b-a5d2-ecd1135a2e57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79b1f04a-4881-4f0d-9df9-6ec1f8dedd77' class='xr-var-data-in' type='checkbox'><label for='data-79b1f04a-4881-4f0d-9df9-6ec1f8dedd77' title='Show/Hide data 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([[nan, nan, nan, ...,  0., nan, nan],\n",
       "       [nan, nan, nan, ...,  0.,  0.,  0.],\n",
       "       [nan, nan, nan, ...,  0.,  0.,  0.],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FUZZ</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-3f193096-14dc-4567-9ccb-7d4ad92292f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3f193096-14dc-4567-9ccb-7d4ad92292f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d723fbb-befc-4b6f-b052-2e03653c7fc2' class='xr-var-data-in' type='checkbox'><label for='data-3d723fbb-befc-4b6f-b052-2e03653c7fc2' title='Show/Hide data 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([[nan, nan, nan, ...,  0., nan, nan],\n",
       "       [nan, nan, nan, ...,  0.,  0.,  0.],\n",
       "       [nan, nan, nan, ...,  0.,  0.,  0.],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DBZH_no_clutter</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-5c170700-1aac-4383-885f-1bcd75031bbe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c170700-1aac-4383-885f-1bcd75031bbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef0a97a2-d4c4-4784-95e4-78764268b9f5' class='xr-var-data-in' type='checkbox'><label for='data-ef0a97a2-d4c4-4784-95e4-78764268b9f5' title='Show/Hide data 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([[        nan,         nan,         nan, ..., 22.66666667,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ..., 23.125     ,\n",
       "        22.83333333, 21.83333333],\n",
       "       [        nan,         nan,         nan, ..., 23.3       ,\n",
       "        22.83333333, 21.83333333],\n",
       "       ...,\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DBZH_CORR</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-a1148828-7435-45b8-828d-f310b30bce1c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a1148828-7435-45b8-828d-f310b30bce1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35455de3-245a-4be6-be09-65cd9fd93f00' class='xr-var-data-in' type='checkbox'><label for='data-35455de3-245a-4be6-be09-65cd9fd93f00' title='Show/Hide data 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([[        nan,         nan,         nan, ..., 22.86532084,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ..., 23.32378387,\n",
       "        23.0983785 , 22.0983785 ],\n",
       "       [        nan,         nan,         nan, ..., 23.4590271 ,\n",
       "        23.0983785 , 22.0983785 ],\n",
       "       ...,\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5951bcdb-4d7e-4bf7-96cc-382ac28e8588' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5951bcdb-4d7e-4bf7-96cc-382ac28e8588' 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: 720, range: 936)\n",
       "Coordinates: (12/15)\n",
       "  * azimuth          (azimuth) float64 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\n",
       "    elevation        (azimuth) float64 0.5 0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5\n",
       "    rtime            (azimuth) datetime64[ns] 2022-02-16T13:45:28.941817600 ....\n",
       "  * range            (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time             datetime64[ns] 2022-02-16T13:45:01\n",
       "    sweep_mode       <U20 'azimuth_surveillance'\n",
       "    ...               ...\n",
       "    x                (azimuth, range) float64 0.1636 0.4909 ... -305.8 -306.1\n",
       "    y                (azimuth, range) float64 37.5 112.5 ... 7.008e+04 7.015e+04\n",
       "    z                (azimuth, range) float64 38.3 38.95 39.61 ... 939.2 940.3\n",
       "    gr               (azimuth, range) float64 37.5 112.5 ... 7.008e+04 7.015e+04\n",
       "    rays             (azimuth, range) float64 0.25 0.25 0.25 ... 359.8 359.8\n",
       "    bins             (azimuth, range) float32 37.5 112.5 ... 7.009e+04 7.016e+04\n",
       "Data variables:\n",
       "    RATE             (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    DBZH             (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    VRAD             (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    ZDR              (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    KDP              (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    PHIDP            (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    RHOHV            (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    WRAD             (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    QC_INFO          (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    FUZZ             (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    DBZH_no_clutter  (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "    DBZH_CORR        (azimuth, range) float64 nan nan nan nan ... nan nan nan\n",
       "Attributes:\n",
       "    fixed_angle:  0.5"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# smoothing of the dataset\n",
    "ds_smooth = ds_clutter_corr.pad(azimuth=(3, 3),\n",
    "                                mode=\"wrap\").rolling(azimuth=7,\n",
    "                                                     min_periods=3,\n",
    "                                                     center=True).mean().isel(azimuth=slice(3, -3))\n",
    "\n",
    "ds_smooth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "de2e212f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot PHIDP Recalc and PHIDP raw\n",
    "\n",
    "# georefenced dataset for plot\n",
    "ds_smooth_georef=ds_smooth.pipe(wrl.georef.georeference_dataset)\n",
    "\n",
    "# plot\n",
    "fig = plt.figure(figsize=(14, 5))\n",
    "\n",
    "# first subplot\n",
    "ax1 = fig.add_subplot(121)\n",
    "ds_smooth_georef.DBZH.plot(x=\"x\", y=\"y\", ax=ax1, cmap = \"jet\", vmin=0, vmax=40)\n",
    "t = plt.title(r'Raw reflectivity')\n",
    "t.set_y(1.1)\n",
    "\n",
    "# second subplot\n",
    "ax2 = fig.add_subplot(122)\n",
    "ds_smooth_georef.DBZH_CORR.plot(x=\"x\", y=\"y\", ax=ax2, cmap=\"jet\", vmin=0, vmax=40)\n",
    "t = plt.title(r'Attenuation corrected reflecivity')\n",
    "t.set_y(1.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d585e299",
   "metadata": {},
   "source": [
    "# Library Reference"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f67a48e",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Seealso** <br>\n",
    "\n",
    "Get more information about the attenuation correction module in the [library reference section](https://fernlab.git-pages.gfz-potsdam.de/products/furuno/wrainfo/doc/wrainfo.html#module-wrainfo.attenuation_corr).\n",
    "\n",
    "</div>"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
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