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.
The Center for Atmosphere Ocean Science comprises students, postdocs and faculty. Our program values diversity as an essential element of an effective 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
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Wave turbulence in the ocean
Feb. 21, 2025
Courant instructor Michal Shavit together with professors Oliver Bühler and Jalal Shatah published a paper in Physical Review Letters on a theoretical model for internal wave turbulence in the ocean, a longstanding and difficult problem relevant to vertical mixing in the deep ocean. Their new model goes beyond prior … Read More
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Two faculty positions available
Nov. 1, 2024
The Center for Atmosphere Ocean Science (CAOS) announces the opening of two separate searches for open-rank tenure/tenure-track faculty appointments Read More
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Scientists Capture New View of How the Ocean Melts Antarctica’s Ice Shelves
Aug. 7, 2024
A report on the deployment of autonomous underwater vehicles in Antarctica was published in the New York Times. CAOS professor David Holland was part of the research team, contributing instrumentation through a hot-water drilled hole on an Antarctic Ice Shelf, collecting data coincident with the underwater vehicle, a first-ever feat. The research was also reported in NYU News. Read More
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Forecasting heat stress months in advance from the current state of ENSO
Aug. 5, 2024 -
ClimSim: An open large-scale dataset for training high-resolution physics emulators
Jan. 24, 2024
CAOS Professor Laure Zanna served as a co-author of "ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation" which won an Outstanding Paper Award at the NeurIPS 2023 Conference in New Orleans. You can read more about their progress here. Read More
