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
A research team supported by CVP produces a new modeling study to improve predictability of air-sea interactions of the Meiyu front, a meteorological zone which separates Arctic from tropical climatic zones in the Pacific Ocean.
Improved Predictability of Air-Sea Interactions between Arctic and Tropical Zones Read More »
CVP-funded research uses observations from the ATOMIC field campaign to improve the understanding and emphasize the importance of small scale air-sea fluxes in the tropical Atlantic.
A new CVP and MAPP funded modeling study projects changes in ocean eddy processes with future climate change to advance our understanding of coastal ecosystem and community impacts up to 2100.
CPO’s Climate Variability and Predictability (CVP) Program in partnership with NOAA’s National Weather Service – Office of Science and Technology (OSTI) Modeling Division are announcing ten new three-year projects in Fiscal Year 2022 (FY22) that aim to improve the understanding of precipitation processes and the representation of precipitation in weather and climate models. The competitively selected projects total $7.78
CPO’s Climate Variability and Predictability (CVP) Program is announcing eight new three-year projects in Fiscal Year 2022 (FY22) that aim to build upon and refine the current scientific understanding of the equatorial Pacific climate system. The tropical Pacific region is important to climate variability due to its role in El Niño-Southern Oscillation (ENSO) and the teleconnections to
CPO is soliciting proposals for two competitions in support of NOAA’s Precipitation Prediction Grand Challenge and the Disaster Relief Supplemental Act.
A new CVP-funded modeling study shows that North Atlantic cooling is largely explained by atmospheric processes, rather than a slowdown in ocean circulation.
Models Show North Atlantic Cooling Driven by Atmospheric Processes Read More »
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.
New Modeling Study Demonstrates Importance of ENSO Influence in Multiple Ocean Basins Read More »
A new CVP-funded study produces an accurate model representation of extreme heat in Missouri during July 2012, one of the hottest summers in United States history.
Modeling Study Successfully Simulates Extreme Heat in Missouri Read More »