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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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Coupled air-sea simulations reveal the dynamics of surface wave growth and breaking-induced dissipation

Coupled air-sea simulations reveal the dynamics of surface wave growth and breaking-induced dissipation

Scapin et al. (2026) demonstrate that the energy dissipated due to ocean wave breaking is determined by the energy stored in the waves, and is not directly dependent on the instantaneous wind speed.

Optimizing Ocean Observing Networks for Detecting the Coastal Climate Signal Workshop Report is Published

Optimizing Ocean Observing Networks for Detecting the Coastal Climate Signal Workshop Report is Published

The joint US CLIVAR and IOOC Optimizing Ocean Observing Networks for Detecting the Coastal Climate Signal workshop fostered collaborations across the ocean and climate science communities to accelerate the co-design of an optimized observing system.

How interfering waves drive the MJO

How interfering waves drive the MJO

A new study by Marsico et al. (2026) shows how the MJO's evolution is driven by superposition of a 45-day period "fast" mode and a newly identified 70-day period "slow" mode, rather than indices that treat the MJO as a single wave.

Micro2Macro: Origins of Climate Change Uncertainty Workshop Report is Published

Micro2Macro: Origins of Climate Change Uncertainty Workshop Report is Published

The US CLIVAR Micro2Macro workshop report provides a community roadmap in the context of the process-based understanding of microphysical processes and S2D global predictions to inform ESM development, observations, and their interactions.

Upcoming Webinars

Predictability, Predictions, and Applications Interface Webinar Series

Date:
Title: Satellite data for wildfire tracking: an overview of current efforts, challenges, and uncertainties
Presenter(s):

Shane Coffield (University of Maryland Earth System Science Interdisciplinary Center)

In this presentation, Shane Coffield (University of Maryland Earth System Science Interdisciplinary Center) will highlight an array of ongoing research from our group at NASA and the University of Maryland, primarily focused on using satellite data for global wildfire tracking.

US CLIVAR Climate Variability and Predictability Program