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dc.contributor.authorMilovac, Josipa
dc.contributor.authorIturbide Martínez de Albéniz, Maialen 
dc.contributor.authorFernández Fernández, Jesús (matemático) 
dc.contributor.authorGutiérrez Llorente, José Manuel
dc.contributor.authorDíez Sierra, Javier 
dc.contributor.authorJones, Richard G.
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2025-02-04T10:26:46Z
dc.date.available2025-02-04T10:26:46Z
dc.date.issued2024-07
dc.identifier.issn0930-7575
dc.identifier.issn1432-0894
dc.identifier.otherPID2019-111481RB-I00es_ES
dc.identifier.otherPID2020-116595RB-I00es_ES
dc.identifier.urihttps://hdl.handle.net/10902/35334
dc.description.abstractSea surface temperature (SST) and sea surface air temperature (SSAT) are commonly used as proxies for investigating the impact of climate change on oceans. These variables have been warming since pre-industrial times and are expected to continue to warm in the future under all Shared Socioeconomic Pathways (SSPs). However, they are warming in a spatially heterogeneous way, even with some cooling spots. In this work, we provide a general overview on the regional scaling of SST and SSAT with global warming, based on a 26-member CMIP6 ensemble. We utilize the global warming level (GWL) as a climate change dimension to analyze scaling patterns between sea temperature anomalies and the corresponding GWLs during the 21st century. This analysis is conducted globally, regionally, and on grid-point basis. The results show that SST and SSAT scale linearly with GWL at global scale, with scaling factors β= 0.71 ± 0.001 K/K and β= 0.86 ± 0.001 K/K, respectively. These results are robust, showing only minor differences between seasons, SSPs, and horizontal model resolutions. However, large differences emerge at regional scale, and the scaling of the two temperatures are strongly influenced by sea-ice. The lowest values are obtained for the Southern Ocean region, β = 0.54 ± 0.005 K/K, projecting that the mean SST will increase only half as fast as the global mean temperature. These results provide valuable insight for refining the ocean IPCC reference regions, considering spatial homogeneity in terms of the regional response to global warming. A refinement of six ocean reference regions has been proposed.es_ES
dc.description.sponsorshipOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work was supported by the projects ATLAS (PID2019-111481RB-I00) funded by MCIN/AEI/10.13039/501100011033, and CORDyS (PID2020-116595RB-I00) funded by MCIN/AEI/10.13039/501100011033. RGJ was supported by the Met Office Hadley Centre Climate Programme funded by the UK governments Department for Science, Innovation and Technology.es_ES
dc.format.extent19 p.es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceClimate Dynamics, 2024, 62(7), 6447-6465es_ES
dc.subject.otherSea surface temperaturees_ES
dc.subject.otherOcean warminges_ES
dc.subject.otherClimate changees_ES
dc.subject.otherCMIP6es_ES
dc.subject.otherIPCCes_ES
dc.subject.otherReference regionses_ES
dc.subject.otherRegional warming sensitivityes_ES
dc.titleRegional scaling of sea surface temperature with global warming levels in the CMIP6 ensemblees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1007/s00382-024-07218-xes_ES
dc.rights.accessRightsopenAccesses_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.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.identifier.DOI10.1007/s00382-024-07218-x
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