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
Subseasonal-to-
Seasonal Prediction
Decadal Variability
and Predictability
Climate Change
Climate and Extreme
Events
Polar Climate Changes
Climate and Marine
Carbon/Biogeochemistry
Climate at the Coasts
Announcements
2023 Call for New US CLIVAR Working Groups
Requests are now being accepted for new US CLIVAR-sponsored Working Groups. All documents must be submitted by October 10, 2023.
Fall 2023 Call for US CLIVAR-Supported Workshops
Fall 2023 Call for US CLIVAR-Supported Workshops
Call for New 2023 US CLIVAR Panel Members
Apply to join one of the US CLIVAR Panels that formulate science goals and implementation strategies, catalyze and coordinate activities, and work with agencies and international partners to advance the progress of the climate research.
US CLIVAR at AMS 2023: Town Hall on the Air-Sea Transition Zone
Please join us for a Town Hall to preview the Air-Sea Transition Zone Study Group's observing and modeling strategy and provide feedback.
Upcoming Webinars
Predictability, Predictions, and Applications Interface Webinar Series
Tom Beucler, Université de Lausanne
Predictability, Predictions, and Applications Interface Webinar Series
Brian Zimmerman, Salient Predictions