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dc.rights.licenseopenen_US
hal.structure.identifierOcéan et variabilité du climat [VARCLIM]
dc.contributor.authorESTELLA-PEREZ, Victor
hal.structure.identifierOcéan et variabilité du climat [VARCLIM]
dc.contributor.authorMIGNOT, Juliette
hal.structure.identifierOcéan et variabilité du climat [VARCLIM]
dc.contributor.authorGUILYARDI, Éric
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorSWINGEDOUW, Didier
hal.structure.identifierProcessus et interactions de fine échelle océanique [PROTEO]
dc.contributor.authorREVERDIN, Gilles
dc.date.accessioned2024-01-16T13:14:40Z
dc.date.available2024-01-16T13:14:40Z
dc.date.issued2020-06
dc.identifier.issn0930-7575en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/187269
dc.description.abstractEnThe Atlantic meridional overturning circulation (AMOC) is one of the main drivers of climate variability at decadal and longer time scales. As there are no direct multi-decadal observations of this key circulation, the reconstruction of past AMOC variations is essential. This work presents a step forward in reconstructing the AMOC using climate models and time-varying surface nudging of salinity and temperature data, for which independent multi-decadal observed series are available. A number of nudging protocols are explored in a perfect model framework to best reproduce the AMOC variability accommodating to the characteristics of SST and SSS available products. As reference SST products with sufficient space and time coverage are available, we here choose to focus on the limitations associated to SSS products with the goal of providing protocols using independent salinity products. We consider a global gridded dataset and, additionally, a coarser SSS dataset restricted to the Atlantic and with a quite low spatial resolution (order of 10 degrees vs. 2 for the model grid). We show how, using the latter, we can improve the efficiency of the nudging on the AMOC reconstruction by adding a high-resolution annual cycle to the coarse resolution SSS product as well as a spatial downscaling to account for SSS gradient. The final protocol retained for the coarse SSS data is able to reconstruct a 100-year long AMOC period (average of 10.18 Sv and a standard deviation of 1.39 Sv), with a correlation of 0.76 to the target and a RMSE of 0.99 Sv. These values can be respectively compared to 0.85 and 0.75 Sv when using the global salinity surface observations. This work provides a first step towards understanding the limitations and prospects of historical AMOC reconstructions using different sea surface salinity datasets for the surface nudging.
dc.description.sponsorshipChangement climatique et Arctique et circulation océanique globale - ANR-18-MPGA-0001en_US
dc.description.sponsorshipIPSL Climate graduate school - ANR-17-EURE-0006en_US
dc.language.isoENen_US
dc.title.enAdvances in reconstructing the AMOC using sea surface observations of salinity
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s00382-020-05304-4en_US
dc.subject.halPlanète et Univers [physics]/Sciences de la Terre/Océanographieen_US
dc.description.sponsorshipEuropeBlue-Action: Arctic impact on weather and climaten_US
bordeaux.journalClimate Dynamicsen_US
bordeaux.volume1en_US
bordeaux.hal.laboratoriesEPOC : Environnements et Paléoenvironnements Océaniques et Continentaux - UMR 5805en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.teamPALEOen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-02883317
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=2020-06&rft.volume=1&rft.eissn=0930-7575&rft.issn=0930-7575&rft.au=ESTELLA-PEREZ,%20Victor&MIGNOT,%20Juliette&GUILYARDI,%20%C3%89ric&SWINGEDOUW,%20Didier&REVERDIN,%20Gilles&rft.genre=article


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