activity
20232026
most citedNext-Generation Earth System Models: Towards Reliable Hybrid Models for Weather and Climate Applications

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

physics.comp-ph2026

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

Mauricio Lima, Marika Koukoula, Romain Pilon +4

Coarse spatial resolution limits the ability of subseasonal prediction models to resolve extreme precipitation. Downscaling with either dynamical or deep generative models can over…

physics.ao-ph2026

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…

stat.ME2026

Spatiotemporally Consistent Multivariate Bias Correction for Climate Projections via Nested Vine Copulas

Theresa Meier, Erwan Koch, Valérie Chavez-Demoulin +1

Climate models are essential for understanding large-scale climate dynamics and long-term climate change, yet they exhibit systematic biases when compared with historical observati…

physics.ao-ph2025

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…

physics.ao-ph2025

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…

physics.ao-ph2023★ 3 cited

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.…