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Discussion papers | Copyright
https://doi.org/10.5194/npg-2017-79
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 17 Jan 2018

Research article | 17 Jan 2018

Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Nonlinear Processes in Geophysics (NPG) and is expected to appear here in due course.

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

Jonathan Demaeyer and Stéphane Vannitsem Jonathan Demaeyer and Stéphane Vannitsem
  • Institut Royal Météorologique de Belgique, Avenue Circulaire, 3, 1180 Brussels, Belgium

Abstract. A new framework is proposed for the evaluation of stochastic subgrid-scale parameterizations in the context of MAOOAM, a coupled ocean-atmosphere model of intermediate complexity. Two physically-based parameterizations are investigated, the first one based on the singular perturbation of Markov operator, also known as homogenization. The second one is a recently proposed parameterization based on the Ruelle's response theory. The two parameterization are implemented in a rigorous way, assuming however that the unresolved scale relevant statistics are Gaussian. They are extensively tested for a low-order version known to exhibit low-frequency variability, and some preliminary results are obtained for an intermediate-order version. Several different configurations of the resolved-unresolved scale separations are then considered. Both parameterizations show remarkable performances in correcting the impact of model errors, being even able to change the modality of the probability distributions. Their respective limitations are also discussed.

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Jonathan Demaeyer and Stéphane Vannitsem
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Jonathan Demaeyer and Stéphane Vannitsem
Jonathan Demaeyer and Stéphane Vannitsem
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We investigate the modelling 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.
We investigate the modelling of the effects of the unresolved scales on the large scales of the...
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