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dc.contributor.authorMartins Careto, João António
dc.contributor.authorMatos Soares, Pedro
dc.contributor.authorCardoso, Rita Margarida
dc.contributor.authorHerrera García, Sixto 
dc.contributor.authorGutiérrez Llorente, José Manuel
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-03-03T14:30:30Z
dc.date.available2023-03-03T14:30:30Z
dc.date.issued2022
dc.identifier.issn1991-959X
dc.identifier.issn1991-9603
dc.identifier.urihttps://hdl.handle.net/10902/27986
dc.description.abstractABSTRACT: Over the years, higher-resolution regional climate model simulations have emerged owing to the large increase in computational resources. The 12 km resolution from the Coordinated Regional Climate Downscaling Experiment for the European domain (EURO-CORDEX) is a reference, which includes a larger multi-model ensemble at a continental scale while spanning at least a 130-year period. These simulations are computationally demanding but do not always reveal added value. In this study, a recently developed regular gridded dataset and a new metric for added value quantification, the distribution added value (DAV), are used to assess the precipitation of all available EURO-CORDEX hindcast (1989-2008) and historical (1971-2005) simulations. This approach enables a direct comparison between the higher-resolution regional model runs against their forcing global model or ERA-Interim reanalysis with respect to their probability density functions. This assessment is performed for the Iberian Peninsula. Overall, important gains are found for most cases, particularly in precipitation extremes. Most hindcast models reveal gains above 15 %, namely for wintertime, while for precipitation extremes values above 20% are reached for the summer and autumn. As for the historical models, although most pairs display gains, regional models forced by two general circulation models (GCMs) reveal losses, sometimes around -5% or lower, for the entire year. However, the spatialization of the DAV is clear in terms of added value for precipitation, particularly for precipitation extremes with gains well above 100 %.es_ES
dc.description.sponsorshipFinancial support. João António Martins Careto is supported by the Portuguese Foundation for Science and Technology (FCT) with the doctoral grant SFRH/BD/139227/2018 financed by national funds from the MCTES within the Faculty of Sciences, University of Lisbon. Pedro Miguel Matos Soares would like to acknowledge the financial support of FCT through project UIDB/50019/2020 (IDL and EEA-Financial Mechanism 2014–2021) and the Portuguese Environment Agency through Pre-defined Project-2 National Roadmap for Adaptation XXI (PDP-2). Rita Margarida Cardoso is supported by the FCT under the project LEADING (PTDC/CTA-MET/28914/2017). This work was also supported by project FCT UIDB/50019/2020 – Instituto Dom Luiz (IDL).es_ES
dc.format.extent18 p.es_ES
dc.language.isoenges_ES
dc.publisherCopernicus Publ. para European Geosciences Uniones_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceGeoscientific Model Development, 2022, 15(6), 2635-2652es_ES
dc.titleAdded value of EURO-CORDEX high-resolution downscaling over the Iberian Peninsula revisited - Part 1: Precipitationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.5194/gmd-15-2635-2022
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