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