Author

Dale R. Durran

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#machine learning Dec 2025

Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models

Long-range distillation is introduced, whereby a long-timestep probabilistic ``student''model is trained to forecast directly at long-range using a huge synthetic dataset generated by an autoregressive ``teacher''model, representing the first demonstration that real-world skill can be improved by training on AI-generat...

Scott A. Martin, Noah D. Brenowitz, Dale R. Durran et al. · arXiv.org · 5 citations

Preprint Aug 2026

DLESyM-Ocean: A Deep Learning Probabilistic Global Model for Simulating Present-Day Upper Ocean and Sea Ice

DLESyM-Ocean is stable when autoregressively run for multi-year simulations and produces a climatology and variability with minimal bias compared with reanalysis, and the computational efficiency of DLESyM-Ocean makes it a promising tool for subseasonal to seasonal forecasting.

Zachary I. Espinosa, Nathaniel Cresswell-Clay, William Yik et al. · 0 citations