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31

MMAS
2010
Springer

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Markov Chain Stochastic Parametrizations of Essential Variables

13 years 5 months ago

Markov Chain Stochastic Parametrizations of Essential Variables

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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

K. Nimsaila, I. Timofeyev

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Essential Variables | Intelligent Agents | Markov Chain | MMAS 2010 | Stochastic Parametrization Ams |

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Added	20 May 2011
Updated	20 May 2011
Type	Journal
Year	2010
Where	MMAS
Authors	K. Nimsaila, I. Timofeyev

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