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S. Thomson

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#machine learning Preprint Sep 2026

Evaluating Dynamical Fidelity through Predictive Structure in Physical Representations

A practical framework for evaluating dynamical fidelity through predictive structure in physical representation spaces is introduced and demonstrated in atmospheric forecasting using ERA5 representations of planetary-wave activity and Northern Annular Mode evolution and evaluates Pangu-Weather, GraphCast, and FengWu.

Oskar Bohn Lassen, Joao Paulo de Souza Boger, S. Driscoll et al. · 0 citations

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