Articles | Volume 25, issue 3
Nonlin. Processes Geophys., 25, 605–631, 2018

Special issue: Numerical modeling, predictability and data assimilation in...

Nonlin. Processes Geophys., 25, 605–631, 2018

Research article 30 Aug 2018

Research article | 30 Aug 2018

Comparison of stochastic parameterizations in the framework of a coupled ocean–atmosphere model

Jonathan Demaeyer and Stéphane Vannitsem


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AR by Jonathan Demaeyer on behalf of the Authors (18 Jun 2018)  Author's response    Manuscript
ED: Publish as is (02 Jul 2018) by Roberto Benzi
Short summary
We investigate the modeling of the effects of the unresolved scales on the large scales of the coupled ocean–atmosphere model MAOOAM. Two different physically based stochastic methods are considered and compared, in various configurations of the model. Both methods show remarkable performances and are able to model fundamental changes in the model dynamics. Ways to improve the parameterizations' implementation are also proposed.