Author

Ulrich Hamann

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Preprint Sep 2026

Exploring the role of input data on hail nowcast skill using spatiotemporal neural networks

Hail can cause large financial losses and poses risks to public safety, making reliable nowcasts essential for timely warnings. Deep-learning approaches have emerged as a strong alternative to conventional methods, but how input data choices affect performance has not been deeply explored. We investigate how the skill...

George Pacey, Ophélia Miralles, Ulrich Hamann et al. · 0 citations

#machine learning Preprint Oct 2026

Varda-single-1.0: deterministic data-driven weather forecasting at 1 km resolution over Switzerland's complex topography

We present Varda-single-1.0, a medium-range data-driven weather prediction system built for the Alpine domain. It provides hourly deterministic regional forecasts on a mesh of 1 km resolution and global forecasts on a 31 km mesh. The system comprises two independently trained stretched-grid Graph Transformer models wit...

Alberto Pennino, Francesco Zanetta, Michele Cattaneo et al. · 0 citations