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physics.ao-ph2026
Uncertainty-Aware End-to-End AI Weather Forecasting: Disentangling Observation and Model Contributions
Rodrigo Almeida, Noelia Otero, Jost Arndt +3
End-to-end weather forecasting systems produce skillful global gridded and station forecasts directly from raw Earth observations, replacing the numerical weather prediction pipeli…
physics.ao-ph2025
On the Predictive Skill of Artificial Intelligence-based Weather Models for Extreme Events using Uncertainty Quantification
Rodrigo Almeida, Noelia Otero, Miguel-Ángel Fernández-Torres +1
Accurate prediction of extreme weather events remains a major challenge for artificial intelligence-based weather prediction systems. While deterministic models such as FuXi, Graph…