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Who We Are

US CLIVAR is a national research program with a mission to foster understanding and prediction of climate variability and change on intraseasonal-to-centennial timescales, through observations and modeling with emphasis on the role of the ocean and its interaction with other elements of the Earth system, and to serve the climate community and society through the coordination and facilitation of research on outstanding climate questions.

Our Research

The ocean plays a key role in providing a major long-term "memory" for the climate system, generating or enhancing variability on a range of climatic timescales. Understanding the ocean's role in climate variability is therefore crucial for quantifying and harnessing the predictability inherent to the Earth system. US CLIVAR-led research has played a substantial role in advancing understanding of, and skill in predicting climate variability and change.

Science and Research Challenges

Cracked earth

Subseasonal-to-   
Seasonal Prediction

Forest

Decadal Variability   
and Predictability

Flooding in neighborhood

Climate Change

Tornado and lightning

Climate and Extreme       
Events

Ice in polar landscape

Polar Climate Changes

Fish swimming undersea

Climate and Marine       
Carbon/Biogeochemistry

Coast with cliffs and waves

Climate at the Coasts

Announcements

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US CLIVAR Related Sessions at the 2027 Annual AMS Meeting

US CLIVAR Related Sessions at the 2027 Annual AMS Meeting

Abstract submission deadlines is Tuesday, August 11, and will not be extended.

US CLIVAR Related Sessions at the Fall 2026 AGU Meeting

US CLIVAR Related Sessions at the Fall 2026 AGU Meeting

Submit an abstract by August 5 to connect with experts in the Earth and climate community.

June Newsgram is Available

June Newsgram is Available

Stay informed with the latest news, research highlights, webinars, data sets, meetings, funding, career opportunities, and jobs for the climate science community.

Simple ocean-based model shows El Niño forecast skill and points to a strong event ahead

Simple ocean-based model shows El Niño forecast skill and points to a strong event ahead

Wang et al. (2026) present the Wyrtki CycloStationary Linear Inverse Model (Wyrtki-CSLIM), which leverages Wyrtki and Hasselmann memory to demonstrate that skillful ENSO forecasts can be generated up to 15 months in advance.

Upcoming Webinars

There are no upcoming Webinars at this time.

US CLIVAR Climate Variability and Predictability Program