Data from: Learning to predict spatio-temporal movement dynamics from weather radar networks
收藏NIAID Data Ecosystem2026-03-13 收录
下载链接：
https://zenodo.org/record/6364940
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资源简介：
This dataset contains the following:
data:
preprocessed: hourly European weather radar data (here: radar) and aggregated simulation outputs (here: abm), combined with ERA5 reanalysis data and Voronoi tessellation details
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.
创建时间：
2022-07-28
