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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.accessioned2023-03-03T15:26:53Z
dc.date.available2023-03-03T15:26:53Z
dc.date.issued2022
dc.identifier.issn1991-959X
dc.identifier.issn1991-9603
dc.identifier.urihttps://hdl.handle.net/10902/27987
dc.description.abstractABSTRACT: In the recent past, an increase in computation resources led to the development of regional climate models with increasing domains and resolutions, spanning larger temporal periods. A good example is the World Climate Research Program - Coordinated Regional Climate Downscaling Experiment for the European domain (EUROCORDEX). This set of regional models encompasses the entire European continent for a 130-year common period until the end of the 21st century, while having a 12 km horizontal resolution. Such simulations are computationally demanding, while at the same time not always showing added value. This study considers a recently proposed metric in order to assess the added value of the EURO-CORDEX hindcast (1989-2008) and historical (1971-2005) simulations for the maximum and minimum temperature over the Iberian Peninsula. This approach allows an evaluation of the higher against the driving lower resolutions relative to the performance of the whole or partial probability density functions by having an observational regular gridded dataset as a reference. Overall, the gains for maximum temperature are more relevant in comparison to minimum temperature, partially due to known problems derived from the snow-albedo-atmosphere feedback.For more local scales, areas near the coast reveal higher added value in comparison with the interior, which displays limited gains and sometimes notable detrimental effects with values around -30 %. At the same time, the added value for temperature extremes reveals a similar range, although with larger gains in coastal regions and in locations from the interior for maximum temperature, contrasting with the losses for locations in the interior of the domain for the minimum temperature.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 the project 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.extent19 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 2: Max and min temperaturees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.5194/gmd-15-2653-2022
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