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 at New York University. A cornerstone of the Center is our PhD in Atmosphere Ocean Science and Mathematics, a companion to the department’s PhD in Mathematics.

News & Research

  • What limits our ability to characterize the variability of the large scale circulation of the extratropics?

    Dec. 3, 2018

    Courant faculty Dr. Edwin P. Gerber and Patrick Martineau (University of Tokyo) explore how dominant modes of atmospheric variability in the extratropics can be constrained with atmospheric reanalyses. Research finds the spread between reanalyses to be much less than the sampling uncertainty associated with the finite length of reanalysis records. Read More

  • Strategies for Predicting Statistical Responses in Complex Turbulent Systems

    Nov. 5, 2018

    CAOS researchers have developed a general mathematical framework to construct statistically accurate reduced-order models that have skill in capturing the statistical variability in the principal directions with largest energy of a general class of damped and forced complex turbulent dynamical systems. Read More

  • Modeling Ocean Uptake in an idealised Southern Ocean

    Nov. 2, 2018

    CAOS researchers in collaboration with researchers at Columbia University have investigated tracer fluxes and ocean upwelling in an idealized southern ocean model. The study finds the tracer fluxes to be sensistive to the vertical resolution, despite the reduction in the depths of the vigorously mixed boundary layers. Read More

  • Unlocking the Kolmogorov code of turbulence

    July 2, 2018

    Atmosphere and ocean flows present us with a complicated jigsaw puzzle of energetic motions on many scales, ranging from slow planetary waves on scales of 10,000 kilometers or so all the way down to small-scale three-dimensional turbulence, where dissipation of kinetic energy might take place on a scale of ... Read More

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