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dc.contributor.authorDíez Sierra, Javier 
dc.contributor.authorIturbide Martínez de Albéniz, Maialen 
dc.contributor.authorFernández Fernández, Jesús (matemático) 
dc.contributor.authorGutiérrez Llorente, José Manuel
dc.contributor.authorMilovac, Josipa
dc.contributor.authorCofiño González, Antonio Santiago 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-11-02T09:48:37Z
dc.date.available2023-11-02T09:48:37Z
dc.date.issued2023-10
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/10902/30436
dc.description.abstractAssessing the regional responses to different Global Warming Levels (GWLs; e.g. + 1.5, 2, 3 and 4 ºC) is one of the most important challenges in climate change sciences since the Paris Agreement goal of keeping global temperature increase well below 2 °C with respect to the pre-industrial period. Regional responses to global warming were typically analyzed using global projections from Global Climate Models (GCMs) and, more recently, using higher resolution Regional Climate Models (RCMs) over limited regions. For instance, the IPCC AR6 WGI Atlas provides results of the regional response to different GWLs for several climate variables from both GCMs and RCMs. These results are calculated under the assumption that the regional signal to global warming is consistent between the GCMs and the nested RCMs. In the present study we investigate the above assumption by evaluating the consistency of regional responses to global warming from global (CMIP5) and regional (CORDEX) projections. The dataset aggregated over the new IPCC reference regions, available from the IPCC AR6 WGI Atlas repository, is analyzed here for temperature and precipitation. The existing relationships between the regional climate change signals and global warming are compared for both CMIP5 and CORDEX. Our results show significant linear scaling relationships between regional changes and global warming for most of the regions. CORDEX and CMIP5 show remarkably similar scaling relationships and similar robustness in the emergence of the climate change signal for most of the regions. These results support the use of regional climate models in the context of global warming level studies.es_ES
dc.description.sponsorshipOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.This work is part of project ATLAS (PID2019-111481RB-I00) funded by MCIN/AEI/10.13039/501100011033. JF and ASC acknowledge support from project CORDyS (PID2020-116595RB-I00) funded by MCIN/AEI/10.13039/501100011033. ASC acknowledges project IS-ENES3 which is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824084.es_ES
dc.format.extent14 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, 2023, 61(7-8), 4047-4060es_ES
dc.subject.otherClimate changees_ES
dc.subject.otherGlobal warming levelses_ES
dc.subject.otherRegional responsees_ES
dc.subject.otherRegional climate modelses_ES
dc.subject.otherCORDEXes_ES
dc.titleConsistency of the regional response to global warming levels from CMIP5 and CORDEX projectionses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1007/s00382-023-06790-yes_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/824084/EU/Infrastructure for the European Network for Earth System modelling - Phase 3/IS-ENES3/es_ES
dc.identifier.DOI10.1007/s00382-023-06790-y
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