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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > A statistical mechanics approach to stochastic parametrizations
A statistical mechanics approach to stochastic parametrizationsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Mustapha Amrani. Mathematics for the Fluid Earth Co-author: Valerio Lucarini (University of Hamburg) Current computer simulations of climate and weather prediction models can only take into account a limited number of the relevant degrees of freedom of the climate system. Therefore the physical dynamical equations need to be reduced to a smaller subset of variables. The reduction of the number of degrees of freedom (also known as parametrization in the modeling community) is a central task in statistical mechanics and it is therefore not surprising that many techniques used in this field are also used in the derivation of stochastic parametrizations. In this talk I will discuss some of these techniques and how they have been applied to climate modeling. I will then discuss how we have used the Mori-Zwanzig formalism and response theory to derive parametrizations for weakly coupled dynamical systems. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
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