Author

Noah D. Brenowitz

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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 Oct 2026

Domain-Adaptive Data Assimilation for Global AI Weather Forecasting

AI weather forecasting models are commonly trained on the ERA5 reanalysis, which is unavailable in real time. Operational deployment therefore relies on initial conditions produced by numerical or AI analysis systems that differ from those encountered during training. This mismatch can degrade forecast skill, while ret...

Minseok Seo, Noah D. Brenowitz, Do-Yun Kim et al. · 0 citations