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dc.contributor.authorDemaeyer, Jonathan
dc.contributor.authorVannitsem, Stéphane
dc.date2018
dc.date.accessioned2018-09-03T12:52:58Z
dc.date.available2018-09-03T12:52:58Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/7056
dc.descriptionA new framework is proposed for the evaluation of stochastic subgrid-scale parameterizations in the context of the Modular Arbitrary-Order Ocean-Atmosphere Model (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 operators, also known as homogenization. The second one is a recently proposed parameterization based on Ruelle’s response theory. The two parameterizations 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 (LFV), and some preliminary results are obtained for an intermediate-order version. Several different configurations of the resolved–unresolvedscale 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.en_US
dc.languageengen_US
dc.publisherCopernicus Publications on behalf of the European Geophysical Union and American Geophysical Unionen_US
dc.titleComparison of stochastic parameterizations in the framework of a coupled ocean–atmosphere modelen_US
dc.typeArticleen_US
dc.subject.frascatiEarth and related Environmental sciencesen_US
dc.audienceScientificen_US
dc.source.titleNonlinear Processes in Geophysicsen_US
dc.source.volume25en_US
dc.source.page605-631en_US
Orfeo.peerreviewedYesen_US
dc.identifier.doi10.5194/npg-25-605-2018
dc.relation.belspo-projectBR/121/A2/STOCHCLIMen_US


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