Center for Atmosphere-Ocean Science
The Center for Atmosphere Ocean Science is a unit of the Department of Mathematics, within the Courant Institute of Mathematical Sciences. Our mission is to advance our understanding of and ability to predict the coupled atmosphere, ocean and ice system through the use of mathematical and computational tools and analysis of observations; and to train the next generation of leading theoretical and computational climate scientists to face one of the most consequential problems of the 21st century.
Diversity, Equity & Inclusion: The Center for Atmosphere Ocean Science comprises students, postdocs and faculty. Our program values equity, diversity and inclusion as essential elements of an effective, safe and ethical research and educational environment. It is our responsibility to remove barriers to knowledge and resources that limit access for marginalized groups; to create a safe, respectful, and inclusive environment for all our members and the communities with which we interact; and to continually evaluate ourselves, our program, and our educational and research outcomes to ensure we live up to these standards.
News & Research
Andrew Majda, 1949-2021April 16, 2021
Centennial response of Greenland’s three largest outlet glaciersJan. 5, 2021
David Holland and colleagues have used historical photographs to extend the climate record of ice loss in Greenland back beyond the modern satellite era to almost a century and a half ago. The study significantly improves the temporal resolution of ice loss during that period showing a complex multi decadal pattern of increased and lessened loss rates. Read More
Heat and carbon coupling reveals ocean warming due to circulation changesSept. 23, 2020
Laure Zanna and Ben Bronselaer developed a new method to analyze the global uptake of heat and carbon in the ocean. Their results show that ocean warming patterns will increasingly be influenced by simple uptake of atmospheric warming, making them easier to predict. This is in contrast to the past 60 years, over which time circulation changes have been viewed as key factors in shaping ocean warming patterns. Read More
Statistical forecasting of the El Nino Southern OscillationFeb. 25, 2020
CAOS researchers Xinyang Wang and Dimitris Giannakis in collaboration with Joanna Slawinska of University of Wisconsin-Milwaukee have developed a data-driven technique for statistical forecasting of the El Nino Southern Oscillation (ENSO), based on a combination of kernel methods for machine learning with techniques from operator-theoretic ergodic theory. Read More
Untangling waves and vortices from limited observationsFeb. 6, 2020
CAOS researchers H. Wang and O.Bühler have developed a numerically robust algorithm to decompose the 1-D energy spectra obtained from ship/aircraft data sets. This work is featured in Focus on Fluids by Journal of Fluid Mechanics. Read More
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