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Challenge 32 - Building interactive weather visualisations
Stream 3 - Visualize weather, climate and atmosphere
Goal
Python package to build animated and exciting visualisations in KML (e.g. for Google Earth), which combines visualisations from other tools (Magics, Metview, ...)
A lot of data sets at ECMWF, especially data from the Copernicus services, tell very striking stories about our climate, weather and pollution. While tools exist to plot maps and time series on their own, we would like to provide Python tools for users to build animations combining multiple plots into a scene through scripts. We would like to make use of the rich sets of features the KML format offers to combine visualisations and metadata. Interest candidates will have a chance to work with ECMWF staff to extend existing Python tools and learn about the visualisation of weather and climate data.
The text was updated successfully, but these errors were encountered:
Hi,
join us for the ECMWF Summer of Weather Code Ask Me Anything session and learn all things ESoWC.
When: Wednesday, 24 March 2021 at 4 pm GMT
What: learn everything about ESoWC - how it works, the challenges this year, some tips for your proposal and listen to ESoWC experiences from previous participants
Challenge 32 - Building interactive weather visualisations
Goal
Python package to build animated and exciting visualisations in KML (e.g. for Google Earth), which combines visualisations from other tools (Magics, Metview, ...)
Mentors and skills
Challenge description
A lot of data sets at ECMWF, especially data from the Copernicus services, tell very striking stories about our climate, weather and pollution. While tools exist to plot maps and time series on their own, we would like to provide Python tools for users to build animations combining multiple plots into a scene through scripts. We would like to make use of the rich sets of features the KML format offers to combine visualisations and metadata. Interest candidates will have a chance to work with ECMWF staff to extend existing Python tools and learn about the visualisation of weather and climate data.
The text was updated successfully, but these errors were encountered: