{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1add2279",
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   "source": [
    "# Precipitation estimation module"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "406507c1",
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    "After the attenuation correction we can estimate the precipitation amount with a z-R conversion. In the function ```qpe_zr``` the parameter a and b depends on the drop size distribution and the water temeperature.\n",
    "\n",
    "The ```qpe_zr``` function contains basic functions from $\\omega radlib$. At first, the unit \"dBZ\" is converted to \"Z\". Afterwards the precipitation depth is calculated over an integration interval, which should be correspond to the scan interval of the weather radar. All parameter can be defined in the configuration file, which is loaded in the ```qpe_zr``` function. \n",
    "We use the attenuation corrected data, which we have processed with the attenuation correction module, for precipitation estimation.\n",
    "\n",
    "```python\n",
    "\n",
    "import wrainfo as wrf\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0120b0c6",
   "metadata": {},
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    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note** <br>\n",
    "\n",
    "The function works also for a xarray dataset which is linking over the time.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cc78a3d7",
   "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: (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 ...\n",
       "    y                (azimuth, range) float64 ...\n",
       "    z                (azimuth, range) float64 ...\n",
       "    gr               (azimuth, range) float64 ...\n",
       "    rays             (azimuth, range) float64 ...\n",
       "    bins             (azimuth, range) float32 ...\n",
       "Data variables: (12/13)\n",
       "    RATE             (azimuth, range) float32 ...\n",
       "    DBZH             (azimuth, range) float32 ...\n",
       "    VRAD             (azimuth, range) float32 ...\n",
       "    ZDR              (azimuth, range) float32 ...\n",
       "    KDP              (azimuth, range) float32 ...\n",
       "    PHIDP            (azimuth, range) float32 ...\n",
       "    ...               ...\n",
       "    WRAD             (azimuth, range) float32 ...\n",
       "    QC_INFO          (azimuth, range) float32 ...\n",
       "    FUZZ             (azimuth, range) float64 ...\n",
       "    DBZH_no_clutter  (azimuth, range) float32 ...\n",
       "    DBZH_CORR        (azimuth, range) float32 nan nan nan nan ... nan nan nan\n",
       "    PREC_ZR          (azimuth, range) float32 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-9ced7235-35b6-4b87-9f27-9b87bc0d4742' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9ced7235-35b6-4b87-9f27-9b87bc0d4742' 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-358c264b-e651-4340-8afa-ce56de2c0502' class='xr-section-summary-in' type='checkbox'  checked><label for='section-358c264b-e651-4340-8afa-ce56de2c0502' 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-34828ab4-fdac-4bb8-bdfe-9b6d6e8fc8ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34828ab4-fdac-4bb8-bdfe-9b6d6e8fc8ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0597bc85-b22f-46e1-a46a-df274c8e2a79' class='xr-var-data-in' type='checkbox'><label for='data-0597bc85-b22f-46e1-a46a-df274c8e2a79' title='Show/Hide data repr'><svg 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'>...</div><input id='attrs-ee57ab9a-0ee5-410f-8142-58a9c5b26120' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee57ab9a-0ee5-410f-8142-58a9c5b26120' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-946aee70-5464-45e5-ad44-600fd7cf167d' class='xr-var-data-in' type='checkbox'><label for='data-946aee70-5464-45e5-ad44-600fd7cf167d' title='Show/Hide data repr'><svg 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])</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-e1830e68-8b1a-44cf-8711-1d9d2b970b8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1830e68-8b1a-44cf-8711-1d9d2b970b8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aea33c7b-7e89-4753-8207-135efdaf907b' class='xr-var-data-in' type='checkbox'><label for='data-aea33c7b-7e89-4753-8207-135efdaf907b' title='Show/Hide data repr'><svg 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;2022-02-16T13:45:28.825312256&#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-8bdd12b2-1069-411b-ba17-3782e000cc95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bdd12b2-1069-411b-ba17-3782e000cc95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-926faea6-76de-41e5-b38d-e5a687016426' class='xr-var-data-in' type='checkbox'><label for='data-926faea6-76de-41e5-b38d-e5a687016426' title='Show/Hide data repr'><svg 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'>...</div><input id='attrs-e820b1a0-19be-447d-a289-d3aab4c38b4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e820b1a0-19be-447d-a289-d3aab4c38b4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36a905e8-102f-4fe2-b0c8-29f77eed35eb' class='xr-var-data-in' type='checkbox'><label for='data-36a905e8-102f-4fe2-b0c8-29f77eed35eb' title='Show/Hide data repr'><svg 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'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-47a9c0b2-948f-4933-8c7c-56dff8159dc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47a9c0b2-948f-4933-8c7c-56dff8159dc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18787614-f04f-4f2e-bbc6-3a182a8b2ae7' class='xr-var-data-in' type='checkbox'><label for='data-18787614-f04f-4f2e-bbc6-3a182a8b2ae7' title='Show/Hide data 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'>...</div><input id='attrs-02b30aa6-32b8-4d9a-900f-c0d6c794177c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02b30aa6-32b8-4d9a-900f-c0d6c794177c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7bd6376-13e3-4a05-bcea-55b6db4622c7' class='xr-var-data-in' type='checkbox'><label for='data-a7bd6376-13e3-4a05-bcea-55b6db4622c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-16cfdb5f-f77f-4188-9210-b8dfa3d120fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16cfdb5f-f77f-4188-9210-b8dfa3d120fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72a94bc8-0fca-4e2b-913a-26c661a6f8ff' class='xr-var-data-in' type='checkbox'><label for='data-72a94bc8-0fca-4e2b-913a-26c661a6f8ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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-a2699033-2741-4308-a7ad-773c7be3af75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2699033-2741-4308-a7ad-773c7be3af75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-724107da-631b-4cef-9b2a-4846531f1b63' class='xr-var-data-in' type='checkbox'><label for='data-724107da-631b-4cef-9b2a-4846531f1b63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'>...</div><input id='attrs-9b2d84c2-06f0-481c-b16a-df4a3f55fd53' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9b2d84c2-06f0-481c-b16a-df4a3f55fd53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d0d8c24-8dfa-4686-a138-a132b338aa21' class='xr-var-data-in' type='checkbox'><label for='data-9d0d8c24-8dfa-4686-a138-a132b338aa21' title='Show/Hide data 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=float64]</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'>...</div><input id='attrs-ffb955e6-8f11-4df0-b2cf-f69d4d9f630c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ffb955e6-8f11-4df0-b2cf-f69d4d9f630c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bba563ee-3b22-4cc0-837e-dd21cb5bfe4e' class='xr-var-data-in' type='checkbox'><label for='data-bba563ee-3b22-4cc0-837e-dd21cb5bfe4e' title='Show/Hide data 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=float64]</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'>...</div><input id='attrs-f9b587a6-bc23-4b39-8767-36338c80307c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f9b587a6-bc23-4b39-8767-36338c80307c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32c463c1-7817-42b0-ac70-817987ae092f' class='xr-var-data-in' type='checkbox'><label for='data-32c463c1-7817-42b0-ac70-817987ae092f' title='Show/Hide data 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=float64]</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'>...</div><input id='attrs-b3d65241-80d6-4bdc-8c53-a19988094806' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b3d65241-80d6-4bdc-8c53-a19988094806' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4497954-0c10-4093-8bda-eb81a9433aaf' class='xr-var-data-in' type='checkbox'><label for='data-c4497954-0c10-4093-8bda-eb81a9433aaf' title='Show/Hide data 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=float64]</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'>...</div><input id='attrs-b18c86c9-c1f3-48d5-bd30-8510627e1a74' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b18c86c9-c1f3-48d5-bd30-8510627e1a74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf6ab42e-72b3-4a24-80f7-304fd56e1cf2' class='xr-var-data-in' type='checkbox'><label for='data-bf6ab42e-72b3-4a24-80f7-304fd56e1cf2' title='Show/Hide data 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=float64]</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'>...</div><input id='attrs-6447fac6-04c6-4ddd-905a-1a49e593d90e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6447fac6-04c6-4ddd-905a-1a49e593d90e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-829119b2-2f3d-48a2-977d-6b0af5ce1a48' class='xr-var-data-in' type='checkbox'><label for='data-829119b2-2f3d-48a2-977d-6b0af5ce1a48' title='Show/Hide data 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=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a7d82cd5-ebd7-4354-bb90-f886a813cd34' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a7d82cd5-ebd7-4354-bb90-f886a813cd34' class='xr-section-summary' >Data variables: <span>(13)</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-2e14b997-61e1-4f64-9769-89935a3e2d0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e14b997-61e1-4f64-9769-89935a3e2d0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdf58cf4-1a5e-41b1-afde-dac6d8bb3625' class='xr-var-data-in' type='checkbox'><label for='data-fdf58cf4-1a5e-41b1-afde-dac6d8bb3625' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_Undetect :</span></dt><dd>0</dd><dt><span>standard_name :</span></dt><dd>rainfall_rate</dd><dt><span>long_name :</span></dt><dd>rainfall_rate</dd><dt><span>units :</span></dt><dd>mm h-1</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-4a9da0db-d099-4b9a-bfc5-705bfe98a4da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a9da0db-d099-4b9a-bfc5-705bfe98a4da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4814c341-57bc-4628-807e-fd074f228c65' class='xr-var-data-in' type='checkbox'><label for='data-4814c341-57bc-4628-807e-fd074f228c65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_Undetect :</span></dt><dd>0</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><dt><span>units :</span></dt><dd>dBZ</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>VRAD</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-5fe903c7-f0f0-4e0a-ae4c-5c31455699e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fe903c7-f0f0-4e0a-ae4c-5c31455699e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21ea7ea7-e4c8-4865-adff-a99317b5d6e4' class='xr-var-data-in' type='checkbox'><label for='data-21ea7ea7-e4c8-4865-adff-a99317b5d6e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_Undetect :</span></dt><dd>0</dd><dt><span>standard_name :</span></dt><dd>radial_velocity_of_scatterers_away_from_instrument</dd><dt><span>long_name :</span></dt><dd>Radial velocity of scatterers away from instrument</dd><dt><span>units :</span></dt><dd>meters per seconds</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-ac9bb422-4db7-4df0-a857-66d56b9df9e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac9bb422-4db7-4df0-a857-66d56b9df9e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63aa4570-d652-4318-86de-8e25ceea9f51' class='xr-var-data-in' type='checkbox'><label for='data-63aa4570-d652-4318-86de-8e25ceea9f51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_Undetect :</span></dt><dd>0</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><dt><span>units :</span></dt><dd>dB</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-c61956bc-dc9d-49c8-9326-798db698a404' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c61956bc-dc9d-49c8-9326-798db698a404' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6951b8a-9be5-427d-9850-231f33f33e81' class='xr-var-data-in' type='checkbox'><label for='data-b6951b8a-9be5-427d-9850-231f33f33e81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_Undetect :</span></dt><dd>0</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><dt><span>units :</span></dt><dd>degrees per kilometer</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-95a32126-63b3-41b6-9e24-c71aae81c011' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95a32126-63b3-41b6-9e24-c71aae81c011' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-666c2f6f-a25e-4634-a131-ac3ad58b0418' class='xr-var-data-in' type='checkbox'><label for='data-666c2f6f-a25e-4634-a131-ac3ad58b0418' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_Undetect :</span></dt><dd>0</dd><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>units :</span></dt><dd>degrees</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-63781f5b-a3ab-4c57-8954-cfe7fd8f9403' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63781f5b-a3ab-4c57-8954-cfe7fd8f9403' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6079740e-d639-406e-b3b7-e349791589f6' class='xr-var-data-in' type='checkbox'><label for='data-6079740e-d639-406e-b3b7-e349791589f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_Undetect :</span></dt><dd>0</dd><dt><span>standard_name :</span></dt><dd>radar_correlation_coefficient_hv</dd><dt><span>long_name :</span></dt><dd>Correlation coefficient HV</dd><dt><span>units :</span></dt><dd>unitless</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>WRAD</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-afa15613-0498-4d8b-8b76-e17b0a007764' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afa15613-0498-4d8b-8b76-e17b0a007764' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1b4977d-a4e2-40f4-8e60-a1abc7974a1d' class='xr-var-data-in' type='checkbox'><label for='data-f1b4977d-a4e2-40f4-8e60-a1abc7974a1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_Undetect :</span></dt><dd>0</dd><dt><span>standard_name :</span></dt><dd>radar_doppler_spectrum_width</dd><dt><span>long_name :</span></dt><dd>Doppler spectrum width</dd><dt><span>units :</span></dt><dd>meters per second</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>QC_INFO</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-9703653d-9303-47a2-8309-24f76712d84e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9703653d-9303-47a2-8309-24f76712d84e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe3ecdc9-1e75-459e-ae40-98731df55165' class='xr-var-data-in' type='checkbox'><label for='data-fe3ecdc9-1e75-459e-ae40-98731df55165' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_Undetect :</span></dt><dd>0</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>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'>...</div><input id='attrs-69b50e73-a01f-474a-901b-8c8b54c85fbb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-69b50e73-a01f-474a-901b-8c8b54c85fbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd23d83d-e637-4290-ae61-2f1e3f43e566' class='xr-var-data-in' type='checkbox'><label for='data-fd23d83d-e637-4290-ae61-2f1e3f43e566' title='Show/Hide data 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=float64]</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'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e9d2a0ea-4038-4b0c-ad64-8ab0988c3850' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9d2a0ea-4038-4b0c-ad64-8ab0988c3850' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9afcd36d-4061-44be-862b-b0139bbbc4d7' class='xr-var-data-in' type='checkbox'><label for='data-9afcd36d-4061-44be-862b-b0139bbbc4d7' title='Show/Hide data repr'><svg 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_equivalent_reflectivity_factor_h</dd><dt><span>long_name :</span></dt><dd>Equivalent reflectivity factor H</dd><dt><span>unit :</span></dt><dd>dBZ</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_CORR</span></div><div class='xr-var-dims'>(azimuth, range)</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-ee1d5bf7-41b9-4324-ad7a-4ec0a436fbb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee1d5bf7-41b9-4324-ad7a-4ec0a436fbb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d50a0bf-1b06-481c-9b59-dbfe3bfa3ca2' class='xr-var-data-in' type='checkbox'><label for='data-1d50a0bf-1b06-481c-9b59-dbfe3bfa3ca2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_Undetect :</span></dt><dd>0</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><dt><span>units :</span></dt><dd>dBZ</dd></dl></div><div class='xr-var-data'><pre>array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ..., 21. ,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ..., 23. , 22.5, 21.5],\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>PREC_ZR</span></div><div class='xr-var-dims'>(azimuth, range)</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-f2d874b3-7b29-40e5-bf28-19b79d76e74b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2d874b3-7b29-40e5-bf28-19b79d76e74b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc5cafe2-5dd0-4018-bd29-d656a7f5e34e' class='xr-var-data-in' type='checkbox'><label for='data-bc5cafe2-5dd0-4018-bd29-d656a7f5e34e' title='Show/Hide data repr'><svg 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>precipitation_amount_z_r_relationship</dd><dt><span>long_name :</span></dt><dd>precipitation_amount_z_r_relationship</dd><dt><span>unit :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([[       nan,        nan,        nan, ...,        nan,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ..., 0.06239862,        nan,\n",
       "               nan],\n",
       "       [       nan,        nan,        nan, ..., 0.08320989, 0.07743281,\n",
       "        0.06705406],\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]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-05f23326-634c-4196-942a-35c7ce90b439' class='xr-section-summary-in' type='checkbox'  checked><label for='section-05f23326-634c-4196-942a-35c7ce90b439' 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 ...\n",
       "    rtime            (azimuth) datetime64[ns] ...\n",
       "  * range            (range) float32 37.5 112.5 187.5 ... 7.009e+04 7.016e+04\n",
       "    time             datetime64[ns] ...\n",
       "    sweep_mode       object ...\n",
       "    ...               ...\n",
       "    x                (azimuth, range) float64 ...\n",
       "    y                (azimuth, range) float64 ...\n",
       "    z                (azimuth, range) float64 ...\n",
       "    gr               (azimuth, range) float64 ...\n",
       "    rays             (azimuth, range) float64 ...\n",
       "    bins             (azimuth, range) float32 ...\n",
       "Data variables: (12/13)\n",
       "    RATE             (azimuth, range) float32 ...\n",
       "    DBZH             (azimuth, range) float32 ...\n",
       "    VRAD             (azimuth, range) float32 ...\n",
       "    ZDR              (azimuth, range) float32 ...\n",
       "    KDP              (azimuth, range) float32 ...\n",
       "    PHIDP            (azimuth, range) float32 ...\n",
       "    ...               ...\n",
       "    WRAD             (azimuth, range) float32 ...\n",
       "    QC_INFO          (azimuth, range) float32 ...\n",
       "    FUZZ             (azimuth, range) float64 ...\n",
       "    DBZH_no_clutter  (azimuth, range) float32 ...\n",
       "    DBZH_CORR        (azimuth, range) float32 nan nan nan nan ... nan nan nan\n",
       "    PREC_ZR          (azimuth, range) float32 nan nan nan nan ... nan nan nan\n",
       "Attributes:\n",
       "    fixed_angle:  0.5"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_rain = wrf.precipitation.qpe_zr(ds = ds_clutter_corr,\n",
    "                                   moment=\"DBZH_CORR\",\n",
    "                                   path=\"/tests/data/test_settings_wrainfo.json\",\n",
    "                                   a=200,\n",
    "                                   b=1.6)\n",
    "ds_rain"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f46d48b0",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note** <br>\n",
    "\n",
    "The German Weather Service uses based on statistical analyses for a=256 and b=1.42.\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3934fcc",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Seealso** <br>\n",
    "\n",
    "You can find a detailed description of the basic function from $\\omega radlib$, [here](https://docs.wradlib.org/en/stable/notebooks/basics/wradlib_workflow.html#Conversion-of-Reflectivity-into-Rainfall).\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d63c1c79",
   "metadata": {},
   "source": [
    "Now we can plot the precipitation amount."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "af1c1896",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x15343dea6df0>"
      ]
     },
     "execution_count": 2,
     "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": [
    "import wradlib as wrl\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# georefenced dataset for plot\n",
    "ds_rain_georef=ds_rain.pipe(wrl.georef.georeference_dataset)\n",
    "\n",
    "ds_rain_georef.PREC_ZR.plot(x=\"x\", y=\"y\", cmap=\"jet\", vmax=1.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c684bb05",
   "metadata": {},
   "source": [
    "# Library Reference"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cec874d5",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Seealso** <br>\n",
    "\n",
    "Get more information about the precipitaion estimation module in the [library reference section](https://fernlab.git-pages.gfz-potsdam.de/products/furuno/wrainfo/doc/wrainfo.html#module-wrainfo.precipitation).\n",
    "\n",
    "</div>"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
