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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:A statistical mechanics approach to stochastic par
ametrizations - Wouters\, J (Universitt Hamburg)
DTSTART;TZID=Europe/London:20131031T111000
DTEND;TZID=Europe/London:20131031T114500
UID:TALK48624AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/48624
DESCRIPTION:Co-author: Valerio Lucarini (University of Hamburg
) \n\nCurrent computer simulations of climate and
weather prediction models can only take into accou
nt a limited number of the relevant degrees of fre
edom of the climate system. Therefore the physical
dynamical equations need to be reduced to a small
er subset of variables.\n\nThe reduction of the nu
mber of degrees of freedom (also known as parametr
ization in the modeling community) is a central ta
sk in statistical mechanics and it is therefore no
t surprising that many techniques used in this fie
ld are also used in the derivation of stochastic p
arametrizations.\n\nIn this talk I will discuss so
me of these techniques and how they have been appl
ied to climate modeling. I will then discuss how w
e have used the Mori-Zwanzig formalism and respons
e theory to derive parametrizations for weakly cou
pled dynamical systems.\n\n
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:Mustapha Amrani
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