physics.ao-ph · 2026-09-01 · No. 102
Atmospheric and Oceanic Physics, 2026-09-01.
1 new papers in physics.ao-ph. Titles, authors,
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01 — The papers
1 entries-
01
Uncertainty-Aware End-to-End AI Weather Forecasting: Disentangling Observation and Model Contributions
Rodrigo Almeida, Noelia Otero, Jost Arndt, Simon Baur, Wojciech Samek, Jackie Ma
physics.ao-ph · cs.LG
End-to-end weather forecasting systems produce skillful global gridded and station forecasts directly from raw Earth observations, replacing the numerical weather prediction pipeline, including data assimilation, at a fraction of its cost. These systems are deterministic and issue no uncertainty. Here we render the Aardvark Weather model probabilistic by attaching one stochastic mechanism to each component: learned, input-dependent noise at...
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