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ICL Characterization of Climate Foundation Models: When Can Transformers Learn Weather and Climate?
Theoretical analysis explains why climate foundation models succeed at field prediction but fail at extreme event detection through in-context learning complexity.
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Kilometre-scale simulations improved extreme rainfall forecasts in eastern Qinghai
Kilometre-scale convection-permitting simulations significantly improve extreme precipitation forecasting accuracy in Qinghai's eastern valleys by better representing valley circulation patterns.
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Weather regimes affect short-term satellite solar forecast error
Study reveals how North Atlantic weather regimes significantly influence satellite-based solar forecast accuracy, with seasonal variations up to 20% in error magnitude affecting renewable energy.