Stochastic Processes and Applications Seminar
Fluctuation-Dissipation Theorem and its application to climate models
Andrey Gritsun
Institute of Numerical Mathematics, Russian Academy of Sciences
April 21, 2017
11AM, 646PGH
Abstract:
In this study we discuss one possibility to estimate response of statistical
characteristics of atmospheric and coupled atmospheric-oceanic general circulation models
onto small external forcings. The method is based on applying fluctuation-dissipation
theorem (FDT) which states that for systems with stationary quasi-Gaussian PDF a response
of the system statistical characteristics to weak external forcing could be expressed in
terms of covariances and lag-covariances of fluctuations of the unperturbed system. The
major advantage of this approach is that one may approximate system response operator
(relating changes of the statistical characteristic of interest with changes in the
system external forcing) using modeling (or observational) data only. We apply this
approach to atmospheric general circulation model CCM0 and coupled atmospheric-oceanic
general circulation model CCSM4 of NCAR.
Stochastic Processes and Applications Working Group Seminar
For questions and suggestions email Ilya Timofeyev: ilya at math dot uh dot edu