884 Dynamical-important Monte-Carlo method in climate system

Thursday, 10 January 2013
Exhibit Hall 3 (Austin Convention Center)
Jing-Dong Bao, Beijing Normal University, Beijing, China

Dynamical-important Monte-Carlo method in climate system

Jing-Dong Bao Department of Physics, Beijing Normal University, Beijing 100875, China

Abstract

We propose an important algorithm to produce samples of a stationary distribution. First, we get an effective potential which corresponds to the stationary distribution; second, we use second-order stochastic algorithm to simulating Langevin equation and thus obtain trajectories of particle at a given time. By using these data, we can calculate the averages of dynamical variables. Application to a climate system is performed.

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