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Author

M. Feldmann

2 papers indexed here

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Open access Sep 2026

Towards understanding the interannual variability of hail in Switzerland

Abstract. Hailstorms are among the most damaging natural hazards in Switzerland, yet the large-scale processes governing their interannual variability remain poorly understood, limiting the potential for early prediction and risk preparedness. Using a 64-year reconstruction of past hail days (1959–2022) and ERA5 reanal...

Lena Wilhelm, M. Feldmann, Katharina Schroeer et al. · 0 citations
Preprint Sep 2026

Stress-Testing Dynamical and Generative Downscaling Using Subseasonal Extreme Precipitation Forecasts

Coarse spatial resolution limits the ability of subseasonal prediction models to resolve extreme precipitation. Downscaling with either dynamical or deep generative models can overcome this issue, but the comparative performance of these models for extremes across different atmospheric regimes remains poorly understood...

Mauricio Lima, M. Koukoula, Romain Pilon et al. · 0 citations

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