{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e7cae0b9",
   "metadata": {},
   "source": [
    "# Geometry module"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02498d68",
   "metadata": {},
   "source": [
    "The module of the package is used to generate the output files after the processing of the raw data is completed. With this module it is possible to convert the weather radar data into a cartesian coordinate system and save it as a netcdf file. \n",
    "\n",
    "```python\n",
    "\n",
    "import wrainfo as wrf\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "564cb089",
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e24aff01",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note** <br>\n",
    "\n",
    "This is only an example how the geometry module works. If you want to save all processed variables in the dataset after clutter and attenuation correction as well as precipitation estimation, please check the [json file](https://git.gfz-potsdam.de/fernlab/products/furuno/wrainfo/-/blob/main/example_settings_wrainfo.json).\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52d8a018",
   "metadata": {},
   "source": [
    "We load an scnx-file as follows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "117fb707",
   "metadata": {},
   "outputs": [],
   "source": [
    "file_path=\"/tests/data/raw/2022/04/05/2006_20220405_123000_000.scnx.gz\" "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d7db7353",
   "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) float32 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\n",
       "    elevation   (azimuth) float32 0.5 0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5 0.5\n",
       "  * range       (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time        datetime64[ns] 2022-04-05T12:30:01\n",
       "    rtime       (azimuth) datetime64[ns] 2022-04-05T12:30:09.601952500 ... 20...\n",
       "    longitude   float64 13.24\n",
       "    latitude    float64 53.55\n",
       "    altitude    float64 38.0\n",
       "    sweep_mode  &lt;U20 &#x27;azimuth_surveillance&#x27;\n",
       "Data variables:\n",
       "    RATE        (azimuth, range) float32 ...\n",
       "    DBZH        (azimuth, range) float32 ...\n",
       "    VRADH       (azimuth, range) float32 ...\n",
       "    ZDR         (azimuth, range) float32 ...\n",
       "    KDP         (azimuth, range) float32 ...\n",
       "    PHIDP       (azimuth, range) float32 ...\n",
       "    RHOHV       (azimuth, range) float32 ...\n",
       "    WRADH       (azimuth, range) float32 ...\n",
       "    QUAL        (azimuth, range) uint16 ...\n",
       "Attributes:\n",
       "    fixed_angle:  0.5</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e4b0ff6d-0647-4cfc-8be4-54c71bb81f51' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e4b0ff6d-0647-4cfc-8be4-54c71bb81f51' 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-444f8d7e-0ff9-408e-af77-040d0b79f132' class='xr-section-summary-in' type='checkbox'  checked><label for='section-444f8d7e-0ff9-408e-af77-040d0b79f132' 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'>float32</div><div class='xr-var-preview xr-preview'>0.25 0.75 1.25 ... 359.2 359.8</div><input id='attrs-5eafe4f7-1756-4738-807d-262ca8c7d3a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5eafe4f7-1756-4738-807d-262ca8c7d3a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d66b353-4ebd-4cef-b47c-7695ad48b740' class='xr-var-data-in' type='checkbox'><label for='data-8d66b353-4ebd-4cef-b47c-7695ad48b740' title='Show/Hide data repr'><svg 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>499</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], dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7fc8fc2a-9392-4f09-a0ad-826d3b9de7ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fc8fc2a-9392-4f09-a0ad-826d3b9de7ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0f2fd5f-ec91-4186-b9cf-fa3da2e5de55' class='xr-var-data-in' type='checkbox'><label for='data-d0f2fd5f-ec91-4186-b9cf-fa3da2e5de55' title='Show/Hide data repr'><svg 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], dtype=float32)</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-5d374606-e640-43f8-9191-21a9ccdca4c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d374606-e640-43f8-9191-21a9ccdca4c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc21856f-17f6-483f-ae0f-63a61eabda83' class='xr-var-data-in' type='checkbox'><label for='data-bc21856f-17f6-483f-ae0f-63a61eabda83' title='Show/Hide data repr'><svg 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</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'>...</div><input id='attrs-1e383268-ccc0-43cd-97e1-ad4377a38546' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e383268-ccc0-43cd-97e1-ad4377a38546' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9397f1d7-438e-4a58-95e7-e2498b823361' class='xr-var-data-in' type='checkbox'><label for='data-9397f1d7-438e-4a58-95e7-e2498b823361' title='Show/Hide data repr'><svg 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;2022-04-05T12:30:01.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rtime</span></div><div class='xr-var-dims'>(azimuth)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-db363c75-aa81-4ce5-b6da-75b977419286' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db363c75-aa81-4ce5-b6da-75b977419286' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55f21379-ad65-495e-b9cd-ada5b7451578' class='xr-var-data-in' type='checkbox'><label for='data-55f21379-ad65-495e-b9cd-ada5b7451578' title='Show/Hide data repr'><svg 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;2022-04-05T12:30:09.601952500&#x27;, &#x27;2022-04-05T12:30:09.640787500&#x27;,\n",
       "       &#x27;2022-04-05T12:30:09.679622500&#x27;, ..., &#x27;2022-04-05T12:30:09.485447499&#x27;,\n",
       "       &#x27;2022-04-05T12:30:09.524282500&#x27;, &#x27;2022-04-05T12:30:09.563117500&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#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'>...</div><input id='attrs-343fb041-3262-4b7d-ad0b-e871afc20fe3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-343fb041-3262-4b7d-ad0b-e871afc20fe3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57465732-509e-4906-b2e6-111db0fffabc' class='xr-var-data-in' type='checkbox'><label for='data-57465732-509e-4906-b2e6-111db0fffabc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'>...</div><input id='attrs-7e2090b2-cde7-49ec-8422-eab41d8300e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e2090b2-cde7-49ec-8422-eab41d8300e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-197aa7ff-a54f-487b-8e68-57e30c2c0a04' class='xr-var-data-in' type='checkbox'><label for='data-197aa7ff-a54f-487b-8e68-57e30c2c0a04' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'>...</div><input id='attrs-5eadca7b-dd02-4c23-b7b2-6e4f3c15ffec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5eadca7b-dd02-4c23-b7b2-6e4f3c15ffec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f6926b0-360b-4402-bf89-f74c9e33fc34' class='xr-var-data-in' type='checkbox'><label for='data-6f6926b0-360b-4402-bf89-f74c9e33fc34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>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'>...</div><input id='attrs-85de921f-d2be-4bed-9b0f-9cc289419d05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-85de921f-d2be-4bed-9b0f-9cc289419d05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9537d78-f5e4-49ed-abe6-23aaac7d9207' class='xr-var-data-in' type='checkbox'><label for='data-d9537d78-f5e4-49ed-abe6-23aaac7d9207' title='Show/Hide data 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></ul></div></li><li class='xr-section-item'><input id='section-72badf23-56b2-4e9b-a528-17cd71eccb3e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-72badf23-56b2-4e9b-a528-17cd71eccb3e' class='xr-section-summary' >Data variables: <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>RATE</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-48816e97-e1ac-424d-939e-ca2856b700c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48816e97-e1ac-424d-939e-ca2856b700c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92e95f9b-27cb-46e5-b3dd-532ca2350e5a' class='xr-var-data-in' type='checkbox'><label for='data-92e95f9b-27cb-46e5-b3dd-532ca2350e5a' title='Show/Hide data repr'><svg 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>mm h-1</dd><dt><span>standard_name :</span></dt><dd>rainfall_rate</dd><dt><span>long_name :</span></dt><dd>rainfall_rate</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</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'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e692df59-5492-4572-8edc-cad97ec6001d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e692df59-5492-4572-8edc-cad97ec6001d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de8d1576-3325-4cf8-80ee-35ab010ceb1e' class='xr-var-data-in' type='checkbox'><label for='data-de8d1576-3325-4cf8-80ee-35ab010ceb1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>standard_name :</span></dt><dd>radar_equivalent_reflectivity_factor_h</dd><dt><span>long_name :</span></dt><dd>Equivalent reflectivity factor H</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VRADH</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4fb59b2a-3267-448d-9f2f-49313785a5e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fb59b2a-3267-448d-9f2f-49313785a5e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb4e25fb-8dd9-4d0b-bc04-8b644319f485' class='xr-var-data-in' type='checkbox'><label for='data-fb4e25fb-8dd9-4d0b-bc04-8b644319f485' title='Show/Hide data repr'><svg 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 per seconds</dd><dt><span>standard_name :</span></dt><dd>radial_velocity_of_scatterers_away_from_instrument_h</dd><dt><span>long_name :</span></dt><dd>Radial velocity of scatterers away from instrument H</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</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'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2b4ffdca-3b67-46d5-bc4f-054d0689323a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b4ffdca-3b67-46d5-bc4f-054d0689323a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2550c9a2-6769-4ae8-9e24-a4d7df5dd3c3' class='xr-var-data-in' type='checkbox'><label for='data-2550c9a2-6769-4ae8-9e24-a4d7df5dd3c3' title='Show/Hide data repr'><svg 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</dd><dt><span>standard_name :</span></dt><dd>radar_differential_reflectivity_hv</dd><dt><span>long_name :</span></dt><dd>Log differential reflectivity H/V</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</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'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ac539d9-a10c-4255-bd06-28a14a4fb063' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ac539d9-a10c-4255-bd06-28a14a4fb063' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11a6ffc1-3148-451f-b8f9-b1b2cf0378d1' class='xr-var-data-in' type='checkbox'><label for='data-11a6ffc1-3148-451f-b8f9-b1b2cf0378d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees per kilometer</dd><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></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</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'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1816b604-9183-445b-b877-c647a4f8df4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1816b604-9183-445b-b877-c647a4f8df4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42cdd1e7-a43a-4f26-9ce5-f05ea1d35f75' class='xr-var-data-in' type='checkbox'><label for='data-42cdd1e7-a43a-4f26-9ce5-f05ea1d35f75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>standard_name :</span></dt><dd>radar_differential_phase_hv</dd><dt><span>long_name :</span></dt><dd>Differential phase HV</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</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'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c861eabb-5151-471e-8016-39db271d3eff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c861eabb-5151-471e-8016-39db271d3eff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fb146b7-11fe-414a-8939-7ae8d0025bdc' class='xr-var-data-in' type='checkbox'><label for='data-6fb146b7-11fe-414a-8939-7ae8d0025bdc' title='Show/Hide data repr'><svg 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>unitless</dd><dt><span>standard_name :</span></dt><dd>radar_correlation_coefficient_hv</dd><dt><span>long_name :</span></dt><dd>Correlation coefficient HV</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WRADH</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8875ec1c-38a5-4a98-a88e-42939cf4aabd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8875ec1c-38a5-4a98-a88e-42939cf4aabd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27096b68-9c82-4fb9-8d27-baa0c8ef334b' class='xr-var-data-in' type='checkbox'><label for='data-27096b68-9c82-4fb9-8d27-baa0c8ef334b' title='Show/Hide data repr'><svg 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 per seconds</dd><dt><span>standard_name :</span></dt><dd>radar_doppler_spectrum_width_h</dd><dt><span>long_name :</span></dt><dd>Doppler spectrum width H</dd></dl></div><div class='xr-var-data'><pre>[673920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QUAL</span></div><div class='xr-var-dims'>(azimuth, range)</div><div class='xr-var-dtype'>uint16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d10aa854-f71d-45e6-8740-5c93186cf4d4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d10aa854-f71d-45e6-8740-5c93186cf4d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-298e7d02-2de1-4d4f-b92b-1e520639433a' class='xr-var-data-in' type='checkbox'><label for='data-298e7d02-2de1-4d4f-b92b-1e520639433a' title='Show/Hide data 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>[673920 values with dtype=uint16]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-67d30fce-bdcd-4ba2-b7e6-adf7b80f6793' class='xr-section-summary-in' type='checkbox'  checked><label for='section-67d30fce-bdcd-4ba2-b7e6-adf7b80f6793' 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:\n",
       "  * azimuth     (azimuth) float32 0.25 0.75 1.25 1.75 ... 358.8 359.2 359.8\n",
       "    elevation   (azimuth) float32 ...\n",
       "  * range       (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time        datetime64[ns] ...\n",
       "    rtime       (azimuth) datetime64[ns] ...\n",
       "    longitude   float64 ...\n",
       "    latitude    float64 ...\n",
       "    altitude    float64 ...\n",
       "    sweep_mode  <U20 ...\n",
       "Data variables:\n",
       "    RATE        (azimuth, range) float32 ...\n",
       "    DBZH        (azimuth, range) float32 ...\n",
       "    VRADH       (azimuth, range) float32 ...\n",
       "    ZDR         (azimuth, range) float32 ...\n",
       "    KDP         (azimuth, range) float32 ...\n",
       "    PHIDP       (azimuth, range) float32 ...\n",
       "    RHOHV       (azimuth, range) float32 ...\n",
       "    WRADH       (azimuth, range) float32 ...\n",
       "    QUAL        (azimuth, range) uint16 ...\n",
       "Attributes:\n",
       "    fixed_angle:  0.5"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "file_scnx = xr.open_dataset(file_path, \n",
    "                            engine=\"furuno\", \n",
    "                            group=\"group1\", \n",
    "                            backend_kwargs=dict(reindex_angle=1.0))\n",
    "display(file_scnx)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba67d42c",
   "metadata": {},
   "source": [
    "# Georeferencing"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa5d0013",
   "metadata": {},
   "source": [
    "In the function ```furuno_georeferencing``` the configuration file is loaded by defining the target coordinate system using the EPSG code and the pixel resolution of the projected data. In addition, the variables to be included in the georeferenced dataset are defined in the configuration file. Afterwards the source and target coordinates are determined in the function. For each variable a new data array with the cartesian coordinates is created and then the single data arrays are merged to a xarray dataset. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8aa80ac",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note** <br>\n",
    "\n",
    "The function works only for a dataset of one time step!\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c354490f",
   "metadata": {},
   "outputs": [],
   "source": [
    "path_to_config_file = \"/tests/data/test_settings_wrainfo.json\"\n",
    "import xarray as xr\n",
    "import wrainfo as wrf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "78361eef",
   "metadata": {},
   "outputs": [
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       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (y: 1400, x: 1400, time: 1)\n",
       "Coordinates:\n",
       "  * time                 (time) datetime64[ns] 2022-04-05T12:30:01\n",
       "  * x                    (x) float32 3.135e+05 3.136e+05 ... 4.537e+05 4.538e+05\n",
       "  * y                    (y) float32 5.865e+06 5.865e+06 ... 6.005e+06 6.006e+06\n",
       "    transverse_mercator  int64 0\n",
       "Data variables:\n",
       "    RATE                 (time, y, x) float32 0.31 0.31 0.31 0.0 ... 0.0 0.0 0.0\n",
       "    DBZH                 (time, y, x) float32 -78.54 -78.54 ... -79.02 -79.02\n",
       "    ZDR                  (time, y, x) float32 0.39 0.39 0.39 ... 1.31 0.65 0.65\n",
       "    KDP                  (time, y, x) float32 nan nan nan nan ... nan nan nan\n",
       "    PHIDP                (time, y, x) float32 48.9 48.9 48.9 ... -132.9 -132.9\n",
       "    RHOHV                (time, y, x) float32 0.107 0.107 ... 0.3583 0.3583\n",
       "Attributes:\n",
       "    Conventions:      CF-1.5\n",
       "    elevation_angle:  0.5</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f588df0b-6f4d-4d38-9cf3-9c71d169c1bc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f588df0b-6f4d-4d38-9cf3-9c71d169c1bc' 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'>y</span>: 1400</li><li><span class='xr-has-index'>x</span>: 1400</li><li><span class='xr-has-index'>time</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ff30cd6b-5b8c-4fc5-84cd-4d9c608bb838' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ff30cd6b-5b8c-4fc5-84cd-4d9c608bb838' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-04-05T12:30:01</div><input id='attrs-92a54b37-b3d2-4c83-afe6-ce5e946a99e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92a54b37-b3d2-4c83-afe6-ce5e946a99e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63e19ffc-3cd0-4a14-ac71-ad1e211c2767' class='xr-var-data-in' type='checkbox'><label for='data-63e19ffc-3cd0-4a14-ac71-ad1e211c2767' title='Show/Hide data repr'><svg 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;2022-04-05T12:30:01.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.135e+05 3.136e+05 ... 4.538e+05</div><input id='attrs-fcfc2bca-52a1-44ec-9a7f-dea406b64496' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcfc2bca-52a1-44ec-9a7f-dea406b64496' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68f099b7-e69f-4845-b75c-31474f315e48' class='xr-var-data-in' type='checkbox'><label for='data-68f099b7-e69f-4845-b75c-31474f315e48' title='Show/Hide data repr'><svg 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([313529.06, 313629.34, 313729.6 , ..., 453603.7 , 453703.94, 453804.22],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.865e+06 5.865e+06 ... 6.006e+06</div><input id='attrs-92e5e987-df65-46cb-9a07-f55a61bea787' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92e5e987-df65-46cb-9a07-f55a61bea787' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15395c66-a416-4e89-8008-9f34b3238cf8' class='xr-var-data-in' type='checkbox'><label for='data-15395c66-a416-4e89-8008-9f34b3238cf8' title='Show/Hide data repr'><svg 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([5865286. , 5865386.5, 5865486.5, ..., 6005358. , 6005458. , 6005558.5],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transverse_mercator</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-4e6bdfd1-fca5-4698-9795-525e1e1abfea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e6bdfd1-fca5-4698-9795-525e1e1abfea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b04579e4-ae6d-4b70-ba36-1292f0810626' class='xr-var-data-in' type='checkbox'><label for='data-b04579e4-ae6d-4b70-ba36-1292f0810626' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 33N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,15],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32633&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 33N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>15.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 33N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,15],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32633&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d44b7e86-4d8c-4d0d-926e-b3f87d5f760d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d44b7e86-4d8c-4d0d-926e-b3f87d5f760d' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>RATE</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.31 0.31 0.31 0.0 ... 0.0 0.0 0.0</div><input id='attrs-49ed8dee-1f00-4f06-99ff-e419a2b36c72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49ed8dee-1f00-4f06-99ff-e419a2b36c72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2d3d78d-93fd-4d8f-bf75-42f2b1bcf801' class='xr-var-data-in' type='checkbox'><label for='data-d2d3d78d-93fd-4d8f-bf75-42f2b1bcf801' title='Show/Hide data repr'><svg 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>mm h-1</dd><dt><span>standard_name :</span></dt><dd>rainfall_rate</dd><dt><span>long_name :</span></dt><dd>rainfall_rate</dd></dl></div><div class='xr-var-data'><pre>array([[[0.30999756, 0.30999756, 0.30999756, ..., 0.        ,\n",
       "         0.        , 0.        ],\n",
       "        [0.30999756, 0.30999756, 0.30999756, ..., 0.        ,\n",
       "         0.        , 0.        ],\n",
       "        [0.30999756, 0.30999756, 0.30999756, ..., 0.        ,\n",
       "         0.        , 0.        ],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.        ,\n",
       "         0.        , 0.        ],\n",
       "        [0.        , 0.        , 0.        , ..., 0.        ,\n",
       "         0.        , 0.        ],\n",
       "        [0.        , 0.        , 0.        , ..., 0.        ,\n",
       "         0.        , 0.        ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DBZH</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-78.54 -78.54 ... -79.02 -79.02</div><input id='attrs-0bfb257a-f36c-43f4-a9d6-5529bd5dad40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bfb257a-f36c-43f4-a9d6-5529bd5dad40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5852a079-ee3e-4101-83fb-39e39c2d160c' class='xr-var-data-in' type='checkbox'><label for='data-5852a079-ee3e-4101-83fb-39e39c2d160c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>standard_name :</span></dt><dd>radar_equivalent_reflectivity_factor_h</dd><dt><span>long_name :</span></dt><dd>Equivalent reflectivity factor H</dd></dl></div><div class='xr-var-data'><pre>array([[[-78.53999 , -78.53999 , -78.53999 , ..., -79.479996,\n",
       "         -79.479996, -79.479996],\n",
       "        [-78.53999 , -78.53999 , -78.53999 , ..., -79.479996,\n",
       "         -79.479996, -79.479996],\n",
       "        [-78.53999 , -78.53999 , -78.53999 , ..., -79.479996,\n",
       "         -79.479996, -79.479996],\n",
       "        ...,\n",
       "        [-79.09    , -79.42999 , -79.42999 , ..., -79.020004,\n",
       "         -79.020004, -79.020004],\n",
       "        [-79.42999 , -79.42999 , -79.42999 , ..., -79.020004,\n",
       "         -79.020004, -79.020004],\n",
       "        [-79.42999 , -79.42999 , -79.42999 , ..., -78.740005,\n",
       "         -79.020004, -79.020004]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ZDR</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.39 0.39 0.39 ... 1.31 0.65 0.65</div><input id='attrs-2507a44e-ffeb-444d-879d-d75aa6e9323c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2507a44e-ffeb-444d-879d-d75aa6e9323c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43d34b17-e251-4069-9338-37d1ca99a6b1' class='xr-var-data-in' type='checkbox'><label for='data-43d34b17-e251-4069-9338-37d1ca99a6b1' title='Show/Hide data repr'><svg 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</dd><dt><span>standard_name :</span></dt><dd>radar_differential_reflectivity_hv</dd><dt><span>long_name :</span></dt><dd>Log differential reflectivity H/V</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.39001465,  0.39001465,  0.39001465, ...,  0.51000977,\n",
       "          0.51000977,  0.51000977],\n",
       "        [ 0.39001465,  0.39001465,  0.39001465, ...,  0.51000977,\n",
       "          0.51000977,  0.51000977],\n",
       "        [ 0.39001465,  0.39001465,  0.39001465, ...,  0.51000977,\n",
       "          0.51000977,  0.51000977],\n",
       "        ...,\n",
       "        [ 0.45999146, -0.19000244, -0.19000244, ...,  0.6499939 ,\n",
       "          0.6499939 ,  0.6499939 ],\n",
       "        [-0.19000244, -0.19000244, -0.19000244, ...,  0.6499939 ,\n",
       "          0.6499939 ,  0.6499939 ],\n",
       "        [-0.19000244, -0.19000244, -0.19000244, ...,  1.3099976 ,\n",
       "          0.6499939 ,  0.6499939 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KDP</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-d3953e84-7a4d-46a6-83d0-1d2d9cff39fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3953e84-7a4d-46a6-83d0-1d2d9cff39fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb0cb9f4-356e-43da-92b4-7bdac7c60312' class='xr-var-data-in' type='checkbox'><label for='data-cb0cb9f4-356e-43da-92b4-7bdac7c60312' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees per kilometer</dd><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></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PHIDP</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>48.9 48.9 48.9 ... -132.9 -132.9</div><input id='attrs-01ecd4b2-912d-47d8-8641-90eea4735f8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01ecd4b2-912d-47d8-8641-90eea4735f8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c8460bd-9e93-4d47-b568-5c009aa8175b' class='xr-var-data-in' type='checkbox'><label for='data-4c8460bd-9e93-4d47-b568-5c009aa8175b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>standard_name :</span></dt><dd>radar_differential_phase_hv</dd><dt><span>long_name :</span></dt><dd>Differential phase HV</dd></dl></div><div class='xr-var-data'><pre>array([[[  48.900894,   48.900894,   48.900894, ...,   93.47861 ,\n",
       "           93.47861 ,   93.47861 ],\n",
       "        [  48.900894,   48.900894,   48.900894, ...,   93.47861 ,\n",
       "           93.47861 ,   93.47861 ],\n",
       "        [  48.900894,   48.900894,   48.900894, ...,   93.47861 ,\n",
       "           93.47861 ,   93.47861 ],\n",
       "        ...,\n",
       "        [  12.909134,   35.9588  ,   35.9588  , ..., -132.87617 ,\n",
       "         -132.87617 , -132.87617 ],\n",
       "        [  35.9588  ,   35.9588  ,   35.9588  , ..., -132.87617 ,\n",
       "         -132.87617 , -132.87617 ],\n",
       "        [  35.9588  ,   35.9588  ,   35.9588  , ..., -116.8304  ,\n",
       "         -132.87617 , -132.87617 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RHOHV</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.107 0.107 0.107 ... 0.3583 0.3583</div><input id='attrs-210b92a1-b7da-418a-89b5-fbef98933953' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-210b92a1-b7da-418a-89b5-fbef98933953' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3661eaa4-e496-41da-a023-7bb2c842eb29' class='xr-var-data-in' type='checkbox'><label for='data-3661eaa4-e496-41da-a023-7bb2c842eb29' title='Show/Hide data repr'><svg 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>unitless</dd><dt><span>standard_name :</span></dt><dd>radar_correlation_coefficient_hv</dd><dt><span>long_name :</span></dt><dd>Correlation coefficient HV</dd></dl></div><div class='xr-var-data'><pre>array([[[0.10702841, 0.10702841, 0.10702841, ..., 0.08334605,\n",
       "         0.08334605, 0.08334605],\n",
       "        [0.10702841, 0.10702841, 0.10702841, ..., 0.08334605,\n",
       "         0.08334605, 0.08334605],\n",
       "        [0.10702841, 0.10702841, 0.10702841, ..., 0.08334605,\n",
       "         0.08334605, 0.08334605],\n",
       "        ...,\n",
       "        [0.14636678, 0.2451857 , 0.2451857 , ..., 0.35834834,\n",
       "         0.35834834, 0.35834834],\n",
       "        [0.2451857 , 0.2451857 , 0.2451857 , ..., 0.35834834,\n",
       "         0.35834834, 0.35834834],\n",
       "        [0.2451857 , 0.2451857 , 0.2451857 , ..., 0.22943816,\n",
       "         0.35834834, 0.35834834]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-97522003-ae16-42dc-9b04-8cb66f49b7d8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-97522003-ae16-42dc-9b04-8cb66f49b7d8' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.5</dd><dt><span>elevation_angle :</span></dt><dd>0.5</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (y: 1400, x: 1400, time: 1)\n",
       "Coordinates:\n",
       "  * time                 (time) datetime64[ns] 2022-04-05T12:30:01\n",
       "  * x                    (x) float32 3.135e+05 3.136e+05 ... 4.537e+05 4.538e+05\n",
       "  * y                    (y) float32 5.865e+06 5.865e+06 ... 6.005e+06 6.006e+06\n",
       "    transverse_mercator  int64 0\n",
       "Data variables:\n",
       "    RATE                 (time, y, x) float32 0.31 0.31 0.31 0.0 ... 0.0 0.0 0.0\n",
       "    DBZH                 (time, y, x) float32 -78.54 -78.54 ... -79.02 -79.02\n",
       "    ZDR                  (time, y, x) float32 0.39 0.39 0.39 ... 1.31 0.65 0.65\n",
       "    KDP                  (time, y, x) float32 nan nan nan nan ... nan nan nan\n",
       "    PHIDP                (time, y, x) float32 48.9 48.9 48.9 ... -132.9 -132.9\n",
       "    RHOHV                (time, y, x) float32 0.107 0.107 ... 0.3583 0.3583\n",
       "Attributes:\n",
       "    Conventions:      CF-1.5\n",
       "    elevation_angle:  0.5"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_georef = wrf.geometry.furuno_georeferencing(ds=file_scnx,\n",
    "                                               path=path_to_config_file)\n",
    "display(ds_georef)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "133efae3",
   "metadata": {},
   "source": [
    "Now we can plot the georeferenced dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "720595b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x14d6eb3265b0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_georef.DBZH.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a99fe00",
   "metadata": {},
   "source": [
    "# Output as NetCDF"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfbbc0a4",
   "metadata": {},
   "source": [
    "The processed data can be saved as NetCDF file. For this, we use the function ```furuno_sweep_to_netcdf```. The configuration file is loaded by defining the output path and the variable, which are saved in the output files. The time dimension is used for create the name of the output file and also the output path. If the file was save in the output directory, you get an information where the file was saved. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1a234e1",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note** <br>\n",
    "\n",
    "The function works only for a georeferenced xarray dataset of one time tep!\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "384ac973",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-- output to tests/data/output/2022/04/05/elev_0.5/NB_WR2120_20220405_123001UTC_elev_0.5_Level1.nc\n"
     ]
    }
   ],
   "source": [
    "wrf.geometry.furuno_sweep_to_netcdf(ds=ds_georef,\n",
    "                       path=path_to_config_file,\n",
    "                       data_type=\"Level1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a65a4b75",
   "metadata": {},
   "source": [
    "# Library Reference"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de1f412c",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Seealso** <br>\n",
    "\n",
    "Get more information about the geometry module in the [library reference section](https://fernlab.git-pages.gfz-potsdam.de/products/furuno/wrainfo/doc/wrainfo.html#module-wrainfo.geometry).\n",
    "\n",
    "</div>"
   ]
  }
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