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

• pandas - Python Data Analysis Library

• GeoPandas - GeoPandas is an open source project which extends the datatypes used by pandas to allow spatial operations on geometric types.

• 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