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Climate Variability & Predictability (CVP)

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New Research Yields Improvements in Climate Variability Decadal Prediction Systems

Driven by the increasing demand for climate information on a longer timescale, CVP has supported modeling studies on the topic of Decadal Climate Variability and Predictability. The majority of these studies have already yielded results, and in the spring of 2023, CVP hosted a webinar series to highlight their latest findings. 

New Research Yields Improvements in Climate Variability Decadal Prediction Systems Read More »

Refining our Understanding of Connections between Tropical Modes of Variability

A new Nature Communications publication supported by the CVP and MAPP programs describes improved observational evidence for relationships between tropical weather patterns, providing a tool to improve climate models and projections of high-impact weather events like tropical cyclones, monsoons, and more.

Refining our Understanding of Connections between Tropical Modes of Variability Read More »

Informational Webinar on NOAA’s Climate Ecosystems Fisheries Initiative for the FY24 CPO NOFO – CVP and MAPP programs

The CVP and MAPP Programs hosted an informational webinar on their FY24 Competitions in support of NOAA’s Climate Ecosystems Fisheries Initiative (CEFI). The webinar included a discussion of the ongoing research and priority areas from the perspective of NOAA Research scientists, along with a Q&A Section.

Informational Webinar on NOAA’s Climate Ecosystems Fisheries Initiative for the FY24 CPO NOFO – CVP and MAPP programs Read More »

CVP Informational Webinar – Multi-year to Decadal Climate Variability and Predictability

The CVP Program hosted an informational webinar on its FY24 Competition on the topic of Multi-year to Decadal Climate Variability and Predictability. The webinar included a discussion of the ongoing research and priority areas from the perspective of NOAA Research scientists along with a Q&A Section.

CVP Informational Webinar – Multi-year to Decadal Climate Variability and Predictability Read More »

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