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dc.contributor.authorVautard, Robert
dc.contributor.authorKadygrov, Nikolay
dc.contributor.authorIles, Carley
dc.contributor.authorBoberg, Fredrik
dc.contributor.authorBuonomo, Erasmo
dc.contributor.authorBülow, Katharina
dc.contributor.authorCoppola, Erika
dc.contributor.authorCorre, Lola
dc.contributor.authorvan Meijgaard, Erik
dc.contributor.authorNogherotto, Rita
dc.contributor.authorSandstad, Marit
dc.contributor.authorSchwingshackl, Clemens
dc.contributor.authorSomot, Samuel
dc.contributor.authorAalbers, Emma
dc.contributor.authorChristensen, Ole Bøssing
dc.contributor.authorCiarlo, James M.
dc.contributor.authorDemory, Marie-Estelle
dc.contributor.authorGiorgi, Filippo
dc.contributor.authorJacob, Daniela
dc.contributor.authorJones, Richard G.
dc.contributor.authorKeuler, Klaus
dc.contributor.authorKjellström, Erik
dc.contributor.authorLenderink, Geert
dc.contributor.authorLevavasseur, Guillaume
dc.contributor.authorNikulin, Grigory
dc.contributor.authorSillmann, Jana
dc.contributor.authorSolidoro, Cosimo
dc.contributor.authorSørland, Silje Lund
dc.contributor.authorSteger, Christian
dc.contributor.authorTeichmann, Claas
dc.contributor.authorWarrach-Sagi, Kirsten
dc.contributor.authorWulfmeyer, Volker
dc.date.accessioned2022-03-24T09:30:56Z
dc.date.available2022-03-24T09:30:56Z
dc.date.created2022-03-03T11:13:54Z
dc.date.issued2021
dc.identifier.citationJournal of Geophysical Research (JGR): Atmospheres. 2021, 126 (17), .en_US
dc.identifier.issn2169-897X
dc.identifier.urihttps://hdl.handle.net/11250/2987254
dc.description.abstractThe use of regional climate model (RCM)-based projections for providing regional climate information in a research and climate service contexts is currently expanding very fast. This has been possible thanks to a considerable effort in developing comprehensive ensembles of RCM projections, especially for Europe, in the EURO-CORDEX community (Jacob et al., 2014, 2020). As of end of 2019, EURO-CORDEX has developed a set of 55 historical and scenario projections (RCP8.5) using 8 driving global climate models (GCMs) and 11 RCMs. This article presents the ensemble including its design. We target the analysis to better characterize the quality of the RCMs by providing an evaluation of these RCM simulations over a number of classical climate variables and extreme and impact-oriented indices for the period 1981–2010. For the main variables, the model simulations generally agree with observations and reanalyses. However, several systematic biases are found as well, with shared responsibilities among RCMs and GCMs: Simulations are overall too cold, too wet, and too windy compared to available observations or reanalyses. Some simulations show strong systematic biases on temperature, others on precipitation or dynamical variables, but none of the models/simulations can be defined as the best or the worst on all criteria. The article aims at supporting a proper use of these simulations within a climate services context.en_US
dc.language.isoengen_US
dc.publisherAGUen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleEvaluation of the Large EURO-CORDEX Regional Climate Model Ensembleen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber0en_US
dc.source.volume126en_US
dc.source.journalJournal of Geophysical Research (JGR): Atmospheresen_US
dc.source.issue17en_US
dc.identifier.doi10.1029/2019JD032344
dc.identifier.cristin2007279
dc.relation.projectEC/H2020/820655en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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