Historically trained ML weather emulators quantify fast precipitation changes from CO2 perturbations and produce results that agree with Earth System Models.
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physics.ao-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A single data-driven model for atmosphere and ocean achieves roughly one day better forecast skill for marine variables at medium range than traditional physics-based models.
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Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators
Historically trained ML weather emulators quantify fast precipitation changes from CO2 perturbations and produce results that agree with Earth System Models.
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Representing the Surface Ocean in ECMWF's data-driven forecasting system AIFS
A single data-driven model for atmosphere and ocean achieves roughly one day better forecast skill for marine variables at medium range than traditional physics-based models.