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MMAS
2010
Springer

Markov Chain Stochastic Parametrizations of Essential Variables

8 years 1 months ago
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
K. Nimsaila, I. Timofeyev
Added 20 May 2011
Updated 20 May 2011
Type Journal
Year 2010
Where MMAS
Authors K. Nimsaila, I. Timofeyev
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