Author

Tom Beucler

2 papers indexed here

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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

#machine learning Open access Mar 2026

Data-driven integration kernels for interpretable nonlocal operator learning

This work introduces data-driven integration kernels, a framework that adds structure to nonlocal operator learning by explicitly separating nonlocal information aggregation from local nonlinear prediction, and demonstrates the framework for South Asian monsoon precipitation using a hierarchy of neural network models w...

S. L. Ferretti, Jerry Lin, S. Shamekh et al. · Environmental Data Science · 0 citations