Data from: Learning to predict spatio-temporal movement dynamics from weather radar networks

Contributors
Publication date 2022
Description
This dataset contains the following: - data: 1) preprocessed: hourly European weather radar data (here: radar) and aggregated simulation outputs (here: abm), combined with ERA5 reanalysis data and Voronoi tessellation details, 2) shapes: geographical shapes used for plotting - results: trained models and corresponding results for both simulated data (here: abm) and weather radar data (here: radar). - figures: final figures presented in our paper "Learning to predict spatio-temporal movement dynamics from weather radar networks" to summarize the results. The corresponding code used to train and evaluate models is archived here: 10.5281/zenodo.6921595.
Publisher Zenodo
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
  • Faculty of Science (FNWI) - Institute for Biodiversity and Ecosystem Dynamics (IBED)
Document type Dataset
Related publication Learning to predict spatiotemporal movement dynamics from weather radar networks
DOI https://doi.org/10.5281/zenodo.6874789
Other links https://zenodo.org/record/6874789
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