3 citations · 3 across the 10 of their papers we have counts for
4 papers · 1 filter
SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland
Dan Assouline, Erwan Koch, Federico Amato +5
Skillful medium-range precipitation forecasting at kilometer scale remains challenging over complex terrain because precipitation arises from multiscale nonlinear processes that gl…
Investigating the Robustness of Extreme Precipitation Super-Resolution Across Climates
Louise Largeau, Tom Beucler, David Leutwyler +3
The coarse spatial resolution of gridded climate models, such as general circulation models, limits their direct use in projecting socially relevant variables like extreme precipit…
Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models
Antoine Leclerc, Erwan Koch, Monika Feldmann +2
Issuing timely severe weather warnings helps mitigate potentially disastrous consequences. Recent advancements in Neural Weather Models (NWMs) offer a computationally inexpensive a…
Next-Generation Earth System Models: Towards Reliable Hybrid Models for Weather and Climate Applications
Tom Beucler, Erwan Koch, Sven Kotlarski +3
We review how machine learning has transformed our ability to model the Earth system, and how we expect recent breakthroughs to benefit end-users in Switzerland in the near future.…