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
![AMS 2025 Meeting Logo](/sites/default/files/styles/card_image/public/announcements/2024/AMS%202025.png?itok=hv5VRVSS)
US CLIVAR Related Sessions at the 2025 AMS Annual Meeting
Abstract submission deadlines vary by session, with many having a deadline of August 15, 2024.
![AGU24 Meeting Logo](/sites/default/files/styles/card_image/public/announcements/2024/AGU24%20%281%29.png?itok=sfswF9Hg)
Call for Spring 2025 US CLIVAR-Supported Meetings
The US CLIVAR program calls for requests to sponsor open community workshops, conferences, and science meetings.
![US CLIVAR logo](/sites/default/files/styles/card_image/public/default_images/usclivar-logo-440-dark-bg.png?itok=_ImjmWgY)
2024 Call for New US CLIVAR Panel Members
We are pleased to announce that the US Climate Variability and Predictability (US CLIVAR) Scientific Steering Committee (SSC) seeks qualified individuals to serve on its three subsidiary panels.
Upcoming Webinars
Predictability, Predictions, and Applications Interface Webinar Series
Nathan Lenssen, Colorado School of Mines