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===================================
GOES Geostationary Lightning Mapper
===================================
`Notebook <http://nbviewer.ipython.org/github/Unidata/python-awips/blob/master/examples/notebooks/GOES_Geostationary_Lightning_Mapper.ipynb>`_
The Geostationary Lightning Mapper, or GLM, on board GOES-R Series
spacecraft, is the first operational lightning mapper flown in
geostationary orbit. GLM detects the light emitted by lightning at the
tops of clouds day and night and collects information such as the
frequency, location and extent of lightning discharges. The instrument
measures total lightning, both in-cloud and cloud-to-ground, to aid in
forecasting developing severe storms and a wide range of high-impact
environmental phenomena including hailstorms, microburst winds,
tornadoes, hurricanes, flash floods, snowstorms and fires.
AWIPS GLM point data are available in three formats
- ``GLMev`` Events
- ``GLMfl`` Flashes
- ``GLMgr`` Groups
and with seven attributes:
- height
- intensity
- msgType
- pulseCount
- pulseIndex
- sensorCount
- strikeType
GLM Sources and Parameters
--------------------------
.. code:: ipython3
from awips.dataaccess import DataAccessLayer
import cartopy.crs as ccrs
import cartopy.feature as cfeat
import matplotlib.pyplot as plt
from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
import numpy as np
import datetime
%matplotlib inline
# Create an EDEX data request
edexServer = "edex-cloud.unidata.ucar.edu"
datatype = "binlightning"
DataAccessLayer.changeEDEXHost(edexServer)
request = DataAccessLayer.newDataRequest(datatype)
# Show available sources
sources = DataAccessLayer.getIdentifierValues(request, "source")
print("available sources:")
print(list(sources))
print("")
availableParms = DataAccessLayer.getAvailableParameters(request)
availableParms.sort()
print("available parameters:")
print(list(availableParms))
.. parsed-literal::
available sources:
['GLMgr', 'GLMfl', 'GLMev']
available parameters:
['height', 'intensity', 'msgType', 'pulseCount', 'pulseIndex', 'sensorCount', 'strikeType']
.. code:: ipython3
request.addIdentifier("source", "GLMgr")
request.setParameters("intensity")
times = DataAccessLayer.getAvailableTimes(request)
response = DataAccessLayer.getGeometryData(request, [times[-1]])
glm_points = []
for data in response:
glm_points.append(data.getGeometry())
ob = response[0]
.. code:: ipython3
# Plot markers
fig, ax = plt.subplots(figsize=(16,16),subplot_kw=dict(projection=ccrs.Orthographic(central_longitude=-90.0)))
ax.coastlines(resolution='50m')
ax.gridlines()
ax.scatter([point.x for point in glm_points],
[point.y for point in glm_points],
transform=ccrs.PlateCarree(),marker="+",facecolor='red')
ax.set_title(str(response[-1].getDataTime().getRefTime()) + " | " + ob.getAttribute('source') + " | " + edexServer)
.. parsed-literal::
Text(0.5,1,'Oct 15 18 22:15:07 GMT | GLMgr | edex-cloud.unidata.ucar.edu')
.. image:: GOES_Geostationary_Lightning_Mapper_files/GOES_Geostationary_Lightning_Mapper_3_1.png

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<li class="toctree-l2"><a class="reference internal" href="Colorized_Grid_Data.html">Colorized Grid Data</a></li> <li class="toctree-l2"><a class="reference internal" href="Colorized_Grid_Data.html">Colorized Grid Data</a></li>
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</li> </li>
<li class="toctree-l2"><a class="reference internal" href="Forecast_Model_Vertical_Sounding.html">Forecast Model Vertical Sounding</a></li> <li class="toctree-l2"><a class="reference internal" href="Forecast_Model_Vertical_Sounding.html">Forecast Model Vertical Sounding</a></li>
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<li class="toctree-l2"><a class="reference internal" href="METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li> <li class="toctree-l2"><a class="reference internal" href="METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li>
<li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li> <li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>

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@ -56,7 +56,6 @@
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<li class="toctree-l2"><a class="reference internal" href="GOES_CIRA_Product_Writer.html">GOES CIRA Product Writer</a></li> <li class="toctree-l2"><a class="reference internal" href="GOES_CIRA_Product_Writer.html">GOES CIRA Product Writer</a></li>
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<li class="toctree-l2"><a class="reference internal" href="METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li> <li class="toctree-l2"><a class="reference internal" href="METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li>
<li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li> <li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>

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<section id="goes-geostationary-lightning-mapper">
<h1>GOES Geostationary Lightning Mapper<a class="headerlink" href="#goes-geostationary-lightning-mapper" title="Permalink to this heading"></a></h1>
<p><a class="reference external" href="http://nbviewer.ipython.org/github/Unidata/python-awips/blob/master/examples/notebooks/GOES_Geostationary_Lightning_Mapper.ipynb">Notebook</a>
The Geostationary Lightning Mapper, or GLM, on board GOES-R Series
spacecraft, is the first operational lightning mapper flown in
geostationary orbit. GLM detects the light emitted by lightning at the
tops of clouds day and night and collects information such as the
frequency, location and extent of lightning discharges. The instrument
measures total lightning, both in-cloud and cloud-to-ground, to aid in
forecasting developing severe storms and a wide range of high-impact
environmental phenomena including hailstorms, microburst winds,
tornadoes, hurricanes, flash floods, snowstorms and fires.</p>
<p>AWIPS GLM point data are available in three formats</p>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">GLMev</span></code> Events</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">GLMfl</span></code> Flashes</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">GLMgr</span></code> Groups</p></li>
</ul>
<p>and with seven attributes:</p>
<ul class="simple">
<li><p>height</p></li>
<li><p>intensity</p></li>
<li><p>msgType</p></li>
<li><p>pulseCount</p></li>
<li><p>pulseIndex</p></li>
<li><p>sensorCount</p></li>
<li><p>strikeType</p></li>
</ul>
<section id="glm-sources-and-parameters">
<h2>GLM Sources and Parameters<a class="headerlink" href="#glm-sources-and-parameters" title="Permalink to this heading"></a></h2>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">awips.dataaccess</span> <span class="kn">import</span> <span class="n">DataAccessLayer</span>
<span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
<span class="kn">import</span> <span class="nn">cartopy.feature</span> <span class="k">as</span> <span class="nn">cfeat</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">from</span> <span class="nn">cartopy.mpl.gridliner</span> <span class="kn">import</span> <span class="n">LONGITUDE_FORMATTER</span><span class="p">,</span> <span class="n">LATITUDE_FORMATTER</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">datetime</span>
<span class="o">%</span><span class="k">matplotlib</span> inline
<span class="c1"># Create an EDEX data request</span>
<span class="n">edexServer</span> <span class="o">=</span> <span class="s2">&quot;edex-cloud.unidata.ucar.edu&quot;</span>
<span class="n">datatype</span> <span class="o">=</span> <span class="s2">&quot;binlightning&quot;</span>
<span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">changeEDEXHost</span><span class="p">(</span><span class="n">edexServer</span><span class="p">)</span>
<span class="n">request</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">newDataRequest</span><span class="p">(</span><span class="n">datatype</span><span class="p">)</span>
<span class="c1"># Show available sources</span>
<span class="n">sources</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getIdentifierValues</span><span class="p">(</span><span class="n">request</span><span class="p">,</span> <span class="s2">&quot;source&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;available sources:&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">sources</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;&quot;</span><span class="p">)</span>
<span class="n">availableParms</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getAvailableParameters</span><span class="p">(</span><span class="n">request</span><span class="p">)</span>
<span class="n">availableParms</span><span class="o">.</span><span class="n">sort</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;available parameters:&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">availableParms</span><span class="p">))</span>
</pre></div>
</div>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">available</span> <span class="n">sources</span><span class="p">:</span>
<span class="p">[</span><span class="s1">&#39;GLMgr&#39;</span><span class="p">,</span> <span class="s1">&#39;GLMfl&#39;</span><span class="p">,</span> <span class="s1">&#39;GLMev&#39;</span><span class="p">]</span>
<span class="n">available</span> <span class="n">parameters</span><span class="p">:</span>
<span class="p">[</span><span class="s1">&#39;height&#39;</span><span class="p">,</span> <span class="s1">&#39;intensity&#39;</span><span class="p">,</span> <span class="s1">&#39;msgType&#39;</span><span class="p">,</span> <span class="s1">&#39;pulseCount&#39;</span><span class="p">,</span> <span class="s1">&#39;pulseIndex&#39;</span><span class="p">,</span> <span class="s1">&#39;sensorCount&#39;</span><span class="p">,</span> <span class="s1">&#39;strikeType&#39;</span><span class="p">]</span>
</pre></div>
</div>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">request</span><span class="o">.</span><span class="n">addIdentifier</span><span class="p">(</span><span class="s2">&quot;source&quot;</span><span class="p">,</span> <span class="s2">&quot;GLMgr&quot;</span><span class="p">)</span>
<span class="n">request</span><span class="o">.</span><span class="n">setParameters</span><span class="p">(</span><span class="s2">&quot;intensity&quot;</span><span class="p">)</span>
<span class="n">times</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getAvailableTimes</span><span class="p">(</span><span class="n">request</span><span class="p">)</span>
<span class="n">response</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getGeometryData</span><span class="p">(</span><span class="n">request</span><span class="p">,</span> <span class="p">[</span><span class="n">times</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]])</span>
<span class="n">glm_points</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">response</span><span class="p">:</span>
<span class="n">glm_points</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">getGeometry</span><span class="p">())</span>
<span class="n">ob</span> <span class="o">=</span> <span class="n">response</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
</pre></div>
</div>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Plot markers</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">16</span><span class="p">,</span><span class="mi">16</span><span class="p">),</span><span class="n">subplot_kw</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">Orthographic</span><span class="p">(</span><span class="n">central_longitude</span><span class="o">=-</span><span class="mf">90.0</span><span class="p">)))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">coastlines</span><span class="p">(</span><span class="n">resolution</span><span class="o">=</span><span class="s1">&#39;50m&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">gridlines</span><span class="p">()</span>
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">([</span><span class="n">point</span><span class="o">.</span><span class="n">x</span> <span class="k">for</span> <span class="n">point</span> <span class="ow">in</span> <span class="n">glm_points</span><span class="p">],</span>
<span class="p">[</span><span class="n">point</span><span class="o">.</span><span class="n">y</span> <span class="k">for</span> <span class="n">point</span> <span class="ow">in</span> <span class="n">glm_points</span><span class="p">],</span>
<span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span><span class="n">marker</span><span class="o">=</span><span class="s2">&quot;+&quot;</span><span class="p">,</span><span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;red&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">response</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getRefTime</span><span class="p">())</span> <span class="o">+</span> <span class="s2">&quot; | &quot;</span> <span class="o">+</span> <span class="n">ob</span><span class="o">.</span><span class="n">getAttribute</span><span class="p">(</span><span class="s1">&#39;source&#39;</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot; | &quot;</span> <span class="o">+</span> <span class="n">edexServer</span><span class="p">)</span>
</pre></div>
</div>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">Text</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="s1">&#39;Oct 15 18 22:15:07 GMT | GLMgr | edex-cloud.unidata.ucar.edu&#39;</span><span class="p">)</span>
</pre></div>
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@ -52,7 +52,6 @@
<li class="toctree-l2"><a class="reference internal" href="generated/Colorized_Grid_Data.html">Colorized Grid Data</a></li> <li class="toctree-l2"><a class="reference internal" href="generated/Colorized_Grid_Data.html">Colorized Grid Data</a></li>
<li class="toctree-l2"><a class="reference internal" href="generated/Forecast_Model_Vertical_Sounding.html">Forecast Model Vertical Sounding</a></li> <li class="toctree-l2"><a class="reference internal" href="generated/Forecast_Model_Vertical_Sounding.html">Forecast Model Vertical Sounding</a></li>
<li class="toctree-l2"><a class="reference internal" href="generated/GOES_CIRA_Product_Writer.html">GOES CIRA Product Writer</a></li> <li class="toctree-l2"><a class="reference internal" href="generated/GOES_CIRA_Product_Writer.html">GOES CIRA Product Writer</a></li>
<li class="toctree-l2"><a class="reference internal" href="generated/GOES_Geostationary_Lightning_Mapper.html">GOES Geostationary Lightning Mapper</a></li>
<li class="toctree-l2"><a class="reference internal" href="generated/Grid_Levels_and_Parameters.html">Grid Levels and Parameters</a></li> <li class="toctree-l2"><a class="reference internal" href="generated/Grid_Levels_and_Parameters.html">Grid Levels and Parameters</a></li>
<li class="toctree-l2"><a class="reference internal" href="generated/METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li> <li class="toctree-l2"><a class="reference internal" href="generated/METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li>
<li class="toctree-l2"><a class="reference internal" href="generated/Map_Resources_and_Topography.html">Map Resources and Topography</a></li> <li class="toctree-l2"><a class="reference internal" href="generated/Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
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<li class="toctree-l1"><a class="reference internal" href="generated/Colorized_Grid_Data.html">Colorized Grid Data</a></li> <li class="toctree-l1"><a class="reference internal" href="generated/Colorized_Grid_Data.html">Colorized Grid Data</a></li>
<li class="toctree-l1"><a class="reference internal" href="generated/Forecast_Model_Vertical_Sounding.html">Forecast Model Vertical Sounding</a></li> <li class="toctree-l1"><a class="reference internal" href="generated/Forecast_Model_Vertical_Sounding.html">Forecast Model Vertical Sounding</a></li>
<li class="toctree-l1"><a class="reference internal" href="generated/GOES_CIRA_Product_Writer.html">GOES CIRA Product Writer</a></li> <li class="toctree-l1"><a class="reference internal" href="generated/GOES_CIRA_Product_Writer.html">GOES CIRA Product Writer</a></li>
<li class="toctree-l1"><a class="reference internal" href="generated/GOES_Geostationary_Lightning_Mapper.html">GOES Geostationary Lightning Mapper</a></li>
<li class="toctree-l1"><a class="reference internal" href="generated/Grid_Levels_and_Parameters.html">Grid Levels and Parameters</a></li> <li class="toctree-l1"><a class="reference internal" href="generated/Grid_Levels_and_Parameters.html">Grid Levels and Parameters</a></li>
<li class="toctree-l1"><a class="reference internal" href="generated/METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li> <li class="toctree-l1"><a class="reference internal" href="generated/METAR_Station_Plot_with_MetPy.html">METAR Station Plot with MetPy</a></li>
<li class="toctree-l1"><a class="reference internal" href="generated/Map_Resources_and_Topography.html">Map Resources and Topography</a></li> <li class="toctree-l1"><a class="reference internal" href="generated/Map_Resources_and_Topography.html">Map Resources and Topography</a></li>

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