Climate models are very complex computer programs that mimic the evolving state and dynamics of the coupled earth-ocean-atmospheric system. Though tremendous progress has been made over the years their capability to faithfully reproduce the climate system is hindered by limitations in computing power. The effect of clouds and precipitation, especially in the tropics, is one of the challenges. This lecture discusses the NYUAD Center for Prototype Climate Modeling's work on developing and using new mathematical models to improve the representation of tropical clouds in climate models and their effect on the climate system.
In collaboration with the Center for Prototype Climate Modeling, NYUAD
Andrew Majda Principal Investigator; Professor of Mathematics and Atmosphere/Ocean Science and Morse Professor of Arts and Sciences, Center for Atmosphere Ocean Science, Courant Institute of Mathematical Sciences, NYUNY
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