Data from: Learning to predict spatio-temporal movement dynamics from weather radar networks
| Contributors | |
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| 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.
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| Publisher | Zenodo |
| Organisations |
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| 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 |
| Permalink to this page | |
