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dc.rights.licenseopenen_US
hal.structure.identifierHelmholtz-Zentrum Geesthacht [GKSS]
hal.structure.identifierUniversität Hamburg [UHH]
dc.contributor.authorBORCHERT, L
dc.contributor.authorKOUL, V
hal.structure.identifierOcéan et variabilité du climat [VARCLIM]
dc.contributor.authorMENARY, Matthew
hal.structure.identifierUniversity of Oxford
dc.contributor.authorBEFORT, D
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorSWINGEDOUW, Didier
dc.contributor.authorSGUBIN, G
hal.structure.identifierOcéan et variabilité du climat [VARCLIM]
dc.contributor.authorMIGNOT, Juliette
dc.date.accessioned2024-02-26T09:41:06Z
dc.date.available2024-02-26T09:41:06Z
dc.date.issued2021-09-23
dc.identifier.issn1748-9326en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/188430
dc.description.abstractEnAbstract We assess the capability of decadal prediction simulations from the Coupled Model Intercomparison Project phase 6 (CMIP6) archive to predict European summer temperature during the period 1970–2014. Using a multi-model ensemble average, we show that Southern European (SEU) summer temperatures are highly predictable for up to ten years in CMIP6. Much of this predictive skill, is related to the externally forced response: historical simulations explain about 90% of observed SEU summer temperature variance. Prediction skill for the unforced signal of SEU summer temperature is low: initialized model simulations explain less than 10% of observed variance after removing the externally forced response. An observed link between unforced SEU summer temperature and preceding spring Eastern North Atlantic—Mediterranean sea surface temperature (SST) motivates the application of a dynamical-statistical model to overcome the low summer temperature skill over Europe. This dynamical-statistical model uses dynamical spring SST predictions to predict European summer temperature, and significantly increases decadal prediction skill of unforced European summer temperature variations, showing significant prediction skill for unforced Southern European summer temperature 2–9 years ahead. As a result, dynamical-statistical models can benefit the decadal prediction of variables with initially limited skill beyond the forcing, such as summer temperature over Europe.
dc.description.sponsorshipPlan d'évolution des moyens de stockage - ANR-17-EQPX-0001en_US
dc.language.isoENen_US
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enClimate prediction
dc.subject.enCMIP6
dc.subject.enEuropean summer temperature
dc.title.enSkillful decadal prediction of unforced southern European summer temperature variations
dc.typeArticle de revueen_US
dc.identifier.doi10.1088/1748-9326/ac20f5en_US
dc.subject.halSciences de l'environnementen_US
bordeaux.journalEnvironmental Research Lettersen_US
bordeaux.page104017en_US
bordeaux.volume16en_US
bordeaux.hal.laboratoriesEPOC : Environnements et Paléoenvironnements Océaniques et Continentaux - UMR 5805en_US
bordeaux.issue10en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.teamPALEO
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-03971666
hal.version1
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Environmental%20Research%20Letters&rft.date=2021-09-23&rft.volume=16&rft.issue=10&rft.spage=104017&rft.epage=104017&rft.eissn=1748-9326&rft.issn=1748-9326&rft.au=BORCHERT,%20L&KOUL,%20V&MENARY,%20Matthew&BEFORT,%20D&SWINGEDOUW,%20Didier&rft.genre=article


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