Advancing scientific understanding of climate, improving society’s ability to plan and respond
Advancing scientific understanding of climate, improving society’s ability to plan and respond
Modeling study funded by CVP evaluates and identifies a more accurate method to simulate atmospheric rivers and their relationships to climate variability, enabling improved predictability of related extreme precipitation events.
The MAPP-funded study finds that ENSO, PDO, and other sources of abnormal sea surface temperatures serve as predictors for U.S. seasonal mean precipitation and that these sources change seasonally and decadally.
Why seasonal prediction skill changes over time Read More »