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

  • Faculty position joint between CDS and CAOS

    Nov. 14, 2023
    neural network

    The Center for Data Science and the Center for Atmosphere Ocean Science seek candidates for one (1) open-rank joint faculty position, anticipated to begin in September 2024. We seek to develop our strength at the interface between machine learning and science, leveraging advances in data science. Read More

  • High resolution simulations revieal the impact of frequency bandwidth on a one-dimensional model for wave turbulence

    Sept. 11, 2023
    Convergence of spectra slopes

    CAOS PhD student Ryan Shìjié Dù and professor Oliver Bühler have published a paper bridging the theory and simulation gap of a one-dimensional model for wave turbulence, the MMT model. Read More

  • M²LInES can now demonstrate the impact of data-driven Machine Learning parameterizations in global models

    Sept. 7, 2023
    SSH over the globe

    M²LInES can now demonstrate the impact of data-driven Machine Learning parameterizations in global models! You can read about new generation of climate models with AI in this new article by Professor Zanna. Read More

  • Idealized study of how moisture impact the midlatitude atmosphere

    April 12, 2023
    Turbulence phenomenology of the idealized two-layer model

    Marguerite Brown, Olivier Pauluis, and Edwin Gerber recently investigated how moisture gradients and latent heat release impact the energetics of the midlatitude atmosphere using an idealized two-layer model of the midlatitudes with simplified moist thermodynamics. As the moisture content of the atmosphere is expected to increase under climate change, a better understanding of the impact of moisture is necessary to reduce uncertainty about how weather patterns will change. Read More

  • Emergence and sensitivity of hurricane-like vortices in an idealized atmosphere

    Feb. 13, 2023
    Convective patches and hurricane-like vortices

    Mu-Hua Chien, Olivier M. Pauluis, and coauthors investigated the emergence and sensitivity of hurricane-like vortices in a numerical simulation of an idealized atmospheric system. Read More

More News

Upcoming Events

Friday, December 1, 2023
  • TBD
    Atmosphere Ocean Science Student Seminar
    Claire Valva, CAOS
    4PM, Warren Weaver Hall 1314
Wednesday, December 6, 2023
Friday, December 8, 2023
  • TBD
    Atmosphere Ocean Science Student Seminar
    Aurora Basinski, CAOS
    4PM, Warren Weaver Hall 1314

All Events