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dc.rights.licenseopenen_US
hal.structure.identifierUniversity of Toronto
dc.contributor.authorRAY, Sulagna
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorSWINGEDOUW, Didier
hal.structure.identifierProcessus de la variabilité climatique tropicale et impacts [PARVATI]
dc.contributor.authorMIGNOT, Juliette
hal.structure.identifierProcessus de la variabilité climatique tropicale et impacts [PARVATI]
dc.contributor.authorGUILYARDI, Éric
dc.date.accessioned2024-06-04T14:17:06Z
dc.date.available2024-06-04T14:17:06Z
dc.date.issued2015-05
dc.identifier.issn0930-7575en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/200258
dc.description.abstractEnInitializing the ocean for decadal predictability studies is a challenge, as it requires reconstructing the little observed subsurface trajectory of ocean variability. In this study we explore to what extent surface nudging using well-observed sea surface temperature (SST) can reconstruct the deeper ocean variations for the 1949-2005 period. An ensemble made with a nudged version of the IPSLCM5A model and compared to ocean reanalyses and reconstructed datasets. The SST is restored to observations using a physically-based relaxation coefficient, in contrast to earlier studies, which use a much larger value. The assessment is restricted to the regions where the ocean reanalyses agree, i. e. in the upper 500 m of the ocean, although this can be latitude and basin dependent. Significant reconstruction of the subsurface is achieved in specific regions, namely region of subduction in the subtropical Atlantic, below the thermocline in the equatorial Pacific and, in some cases, in the North Atlantic deep convection regions. Beyond the mean correlations, ocean integrals are used to explore the time evolution of the correlation over 20-year windows. Classical fixed depth heat content diagnostics do not exhibit any significant reconstruction between the different existing observation-based references and can therefore not be used to assess global average time-varying correlations in the nudged simulations. Using the physically based average temperature above an isotherm (14 degrees C) alleviates this issue in the tropics and subtropics and shows significant reconstruction of these quantities in the nudged simulations for several decades. This skill is attributed to the wind stress reconstruction in the tropics, as already demonstrated in a perfect model study using the same model. Thus, we also show here the robustness of this result in an historical and observational context.
dc.language.isoENen_US
dc.title.enEffect of surface restoring on subsurface variability in a climate model during 1949–2005
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s00382-014-2358-3en_US
dc.subject.halPhysique [physics]/Physique [physics]/Géophysique [physics.geo-ph]en_US
bordeaux.journalClimate Dynamicsen_US
bordeaux.page2333–2349en_US
bordeaux.volume44en_US
bordeaux.hal.laboratoriesEPOC : Environnements et Paléoenvironnements Océaniques et Continentaux - UMR 5805en_US
bordeaux.issue9-10en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.teamPALEOen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-01141663
hal.version1
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Climate%20Dynamics&rft.date=2015-05&rft.volume=44&rft.issue=9-10&rft.spage=2333%E2%80%932349&rft.epage=2333%E2%80%932349&rft.eissn=0930-7575&rft.issn=0930-7575&rft.au=RAY,%20Sulagna&SWINGEDOUW,%20Didier&MIGNOT,%20Juliette&GUILYARDI,%20%C3%89ric&rft.genre=article


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