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dc.contributor.authorFernández de la Granja, Juan Antonio 
dc.contributor.authorBedía Jiménez, Joaquín
dc.contributor.authorCasanueva Vicente, Ana 
dc.contributor.authorBrands, Swen Franz 
dc.contributor.authorFernández Fernández, Jesús (matemático) 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-09-12T16:54:12Z
dc.date.available2024-09-12T16:54:12Z
dc.date.issued2024-09
dc.identifier.issn0899-8418
dc.identifier.issn1097-0088
dc.identifier.otherPID2020-116595RB-I00es_ES
dc.identifier.otherPID2019-111481RB-I00es_ES
dc.identifier.otherTED2021-131334A-I00es_ES
dc.identifier.urihttps://hdl.handle.net/10902/33792
dc.description.abstractThe Jenkinson-Collison Weather Typing (JC-WT) method uses sea-level pressure gradients to create 27 types based on the geostrophic flow and vorticity around any extratropical target location. Typically, JC-WTs are applied over specific locations or limited domains, thus hampering the understanding of the impact of large-scale mechanisms on regional climate. This study explores the links between regional climate variability, as represented by the JC-WTs, and large-scale phenomena, to describe the synoptic-scale variability in the North Atlantic-European region and evaluate the JC-WT methodology. Largescale circulation is here characterized by major atmospheric low-frequency modes, namely the North Atlantic Oscillation, the East Atlantic and the Scandinavian teleconnection indices, and by atmospheric blockings. Results show that JC-WTs coherently capture the spatial and temporal variability of the large-scale modes and yields a characteristic response to blocking events. Overall, our results underpin the exploratory potential of this method for the analysis of the near-surface circulation. These findings endorse the use of JC-WTs and support the reliability and utility of the JC-WT classification for processbased model assessments and model selection, a crucial task for climate impact studies.es_ES
dc.description.sponsorshipCORDyS project (PID2020-116595RB-I00) and ATLAS(PID2019-111481RB-I00) funded by Ministerio de Cienciae Innovaci on / Agencia Estatal de Investigaci on (MCIN/AEI/10.13039/501100011033). Project COMPOUND(TED2021-131334A-I00) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenera-tionEU/PRTR. Ph.D. grant PRE2020-094728 (MCIN/AEI/10.13039/501100011033); PTI-Clima, MITECO andNextGenerationEU (Regulation EU 2020/2094) IMPET-US4CHANGE, grant agreement no. 101081555, from theEuropean Union's Horizon Europe research and innova-tion programmees_ES
dc.format.extent13 p.es_ES
dc.language.isoenges_ES
dc.publisherJohn Wiley and Sons Ltdes_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceInternational Journal of Climatology, 2024, 44(11), 4076-4088es_ES
dc.subject.otherAtmospheric blockinges_ES
dc.subject.otherSea-level pressurees_ES
dc.subject.otherVariability modeses_ES
dc.subject.otherWeather typinges_ES
dc.titleThe signature of the main modes of climatic variability as revealed by the Jenkinson-Collison classification over Europees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1002/joc.8569es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116595RB-I00/ES/CONTRIBUCION A LA NUEVA GENERACION DE PROYECCIONES CLIMATICAS REGIONALES DE CORDEX MEDIANTE TECNICAS DINAMICAS Y ESTADISTICAS/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111481RB-I00/ES/CONTRIBUCION ESPAÑOLA AL ATLAS DEL IPCC-AR6: DESARROLLO Y PROBLEMAS CIENTIFICOS/es_ES
dc.identifier.DOI10.1002/joc.8569
dc.type.versionpublishedVersiones_ES


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Attribution 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International