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.
New study highlights the causes of a large interannual variability in the natural emission of methyl bromide.
AMOC Mechanisms & Decadal Predictability
Decadal Variability & Predictability
Years of Maritime Continent and PISTON Campaign
Tropical Pacific Observing System (TPOS) Process Studies Webinar Series
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Dr. Sandy Lucas
CVP Program Manager
CVP Program Specialist
Americans’ health, security and economic wellbeing are tied to climate and weather. Every day, we see communities grappling with environmental challenges due to unusual or extreme events related to climate and weather.
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