This new CVP-funded study examines atmosphere–ocean coupled models to understand the limits of seasonal prediction for CA winter precipitation.

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.

CVP-supported study uses linear inverse modeling to improve understanding of interactions between the Pacific ocean with other ocean basins related to ENSO variability.

ENSO is a major source of seasonal predictability and driver of global climate and extreme events. Changes in the seasonal evolution of ENSO during its onset and decay phases have received little attention by the research community. A new study published in Nature Communications aims to better understand these changes and ENSO’s impact.

This study uses a novel approach to further explore the dynamic impacts of volcanism on ENSO.