Markov Chain Stochastic Parametrizations of Essential Variables

We analyze the performance of the novel Markov chain stochastic modeling technique for derivation of effective equations for a set of essential variables. This technique is an empirical approach where the right-hand side of the essential variables is modeled by a Markov chain. We demonstrate that the Markov chain modeling approach performs well in a prototype model without scale separation between the essential and the nonessential variables. Moreover, we utilize the truncated Burgers

• Type: Journal
• Year: 2010
• Where: MMAS
• Authors: K. Nimsaila, I. Timofeyev
• Keywords: Essential Variables, Intelligent Agents, Markov Chain, MMAS 2010, Stochastic Parametrization Ams