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dc.rights.licenseopenen_US
hal.structure.identifierProcessus de la variabilité climatique tropicale et impacts [PARVATI]
hal.structure.identifierNational Oceanography Centre [Southampton] [NOC]
dc.contributor.authorGERME, Agathe
hal.structure.identifierOcean and Earth Science [Southampton]
dc.contributor.authorSÉVELLEC, Florian
hal.structure.identifierOcéan et variabilité du climat [LOCEAN-VARCLIM]
dc.contributor.authorMIGNOT, Juliette
hal.structure.identifierYale University [New Haven]
dc.contributor.authorFEDOROV, Alexey V.
hal.structure.identifierLaboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques [LOCEAN]
dc.contributor.authorNGUYEN, Sébastien
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorSWINGEDOUW, Didier
dc.date.accessioned2024-04-26T09:38:24Z
dc.date.available2024-04-26T09:38:24Z
dc.date.issued2018-09
dc.identifier.issn0930-7575en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/199350
dc.description.abstractEnDecadal climate predictability in the North Atlantic is largely related to ocean low frequency variability, whose sensitivity to initial conditions is not very well understood. Recently, three-dimensional oceanic temperature anomalies optimally perturbing the North Atlantic Mean Temperature (NAMT) have been computed via an optimization procedure using a linear adjoint to a realistic ocean general circulation model. The spatial pattern of the identified perturbations, localized in the North Atlantic, has the largest magnitude between 1000 and 4000 m depth. In the present study, the impacts of these perturbations on NAMT, on the Atlantic meridional overturning circulation (AMOC), and on climate in general are investigated in a global coupled model that uses the same ocean model as was used to compute the three-dimensional optimal perturbations. In the coupled model, these perturbations induce AMOC and NAMT anomalies peaking after 5 and 10 years, respectively, generally consistent with the ocean-only linear predictions. To further understand their impact, their magnitude was varied in a broad range. For initial perturbations with a magnitude comparable to the internal variability of the coupled model, the model response exhibits a strong signature in sea surface temperature and precipitation over North America and the Sahel region. The existence and impacts of these ocean perturbations have important implications for decadal prediction: they can be seen either as a source of predictability or uncertainty, depending on whether the current observing system can detect them or not. In fact, comparing the magnitude of the imposed perturbations with the uncertainty of available ocean observations such as Argo data or ocean state estimates suggests that only the largest perturbations used in this study could be detectable. This highlights the importance for decadal climate prediction of accurate ocean density initialisation in the North Atlantic at intermediate and greater depths.
dc.language.isoENen_US
dc.subject.enInitial condition uncertainties
dc.subject.enLinear optimal perturbations
dc.subject.enNorth Atlantic variability
dc.subject.enAtlantic meridional overturning circulation
dc.subject.enIPSL-CM5A
dc.subject.enDecadal climate predictability
dc.title.enThe impacts of oceanic deep temperature perturbations in the North Atlantic on decadal climate variability and predictability
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s00382-017-4016-zen_US
dc.subject.halPhysique [physics]/Physique [physics]/Géophysique [physics.geo-ph]en_US
dc.description.sponsorshipEuropeSeasonal-to-decadal climate Prediction for the improvement of EuropeanClimate Servicesen_US
bordeaux.journalClimate Dynamicsen_US
bordeaux.page2341 - 2357en_US
bordeaux.volume51en_US
bordeaux.hal.laboratoriesEPOC : Environnements et Paléoenvironnements Océaniques et Continentaux - UMR 5805en_US
bordeaux.issue5-6en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.teamPALEOen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-01874716
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=2018-09&rft.volume=51&rft.issue=5-6&rft.spage=2341%20-%202357&rft.epage=2341%20-%202357&rft.eissn=0930-7575&rft.issn=0930-7575&rft.au=GERME,%20Agathe&S%C3%89VELLEC,%20Florian&MIGNOT,%20Juliette&FEDOROV,%20Alexey%20V.&NGUYEN,%20S%C3%A9bastien&rft.genre=article


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