Visualize SIGnificant METeorological informations (SIGMET) and the ATC sectors impacted on 2D maps with Python framework (geopandas, contextily, matplotlib...)
SIGMET data are loaded from json files or from a URL (NOAA web service)
Data are stored as GeoPandas dataframes
The map background is built with contextily
Plotting is realized with matplotlib
Example: SIGMETs over Europe on 16/03/2020
Example: French ATC sector volumes impacted by SIGMETs
Run the demo_sigmet_sectors notebook to see how to load and plot SIGMET and ATC sectors
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pandas - Python Data Analysis Library
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GeoPandas - GeoPandas is an open source project which extends the datatypes used by pandas to allow spatial operations on geometric types.
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contextily - Context geo-tiles in Python
- Thomas Dubot
This project is licensed under the MIT License - see the LICENSE.md file for details
Thanks to NOAA for providing such useful weather data