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dc.contributor.authorSangelantoni, Lorenzo
dc.contributor.authorSobolowski, Stefan
dc.contributor.authorLorenz, Torge
dc.contributor.authorHodnebrog, Oivind
dc.contributor.authorCardoso, Rita Margarida
dc.contributor.authorSoares, Pedro M.M.
dc.contributor.authorFerretti, Rossella
dc.contributor.authorLavín Gullón, Álvaro 
dc.contributor.authorFernández Fernández, Jesús (matemático) 
dc.contributor.authorGoergen, Klaus
dc.contributor.authorMilovac, Josipa
dc.contributor.authorKatragkou, Eleni
dc.contributor.authorKartsios, Stergios
dc.contributor.authorCoppola, Erika
dc.contributor.authorPichelli, Emanuela
dc.contributor.authorAdinolfi, Marianna
dc.contributor.authorMercogliano, Paola
dc.contributor.authorBerthou, Ségolène
dc.contributor.authorVries, Hylke de
dc.contributor.authorDobler, Andreas
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-09-12T16:27:32Z
dc.date.available2024-09-12T16:27:32Z
dc.date.issued2024-06
dc.identifier.issn0930-7575
dc.identifier.issn1432-0894
dc.identifier.otherPID2020-116595RB-I00es_ES
dc.identifier.urihttps://hdl.handle.net/10902/33789
dc.description.abstractHeatwaves (HWs) are high-impact phenomena stressing both societies and ecosystems. Their intensity and frequency are expected to increase in a warmer climate over many regions of the world. While these impacts can be wide-ranging, they are potentially influenced by local to regional features such as topography, land cover, and urbanization. Here, we leverage recent advances in the very high-resolution modelling required to elucidate the impacts of heatwaves at these fine scales. Further, we aim to understand how the new generation of km-scale regional climate models (RCMs) modulates the representation of heatwaves over a well-known climate change hot spot. We analyze an ensemble of 15 convection-permitting regional climate model (CPRCM, - 2?4 km grid spacing) simulations and their driving, convection-parameterized regional climate model (RCM, - 12-15 km grid spacing) simulations from the CORDEX Flagship Pilot Study on Convection. The focus is on the evaluation experiments (2000-2009) and three subdomains with a range of climatic characteristics. During HWs, and generally in the summer season, CPRCMs exhibit warmer and drier conditions than their driving RCMs. Higher maximum temperatures arise due to an altered heat flux partitioning, with daily peaks up to - 150 W/m2 larger latent heat in RCMs compared to the CPRCMs. This is driven by a 5-25% lower soil moisture content in the CPRCMs, which is in turn related to longer dry spell length (up to double). It is challenging to ascertain whether these differences represent an improvement. However, a point-scale distribution-based maximum temperature evaluation, suggests that this CPRCMs warmer/drier tendency is likely more realistic compared to the RCMs, with - 70% of reference sites indicating an added value compared to the driving RCMs, increasing to 95% when only the distribution right tail is considered. Conversely, a CPRCMs slight detrimental effect is found according to the upscaled grid-to-grid approach over flat areas. Certainly, CPRCMs enhance dry conditions, with knock-on implications for summer season temperature overestimation. Whether this improved physical representation of HWs also has implications for future changes is under investigation.es_ES
dc.description.sponsorshipAll authors gratefully acknowledge the WCRPCORDEX-FPS on Convective phenomena at high resolution over Europe and the Mediterranean and the research data exchange infrastructure and services provided by the Jülich Supercomputing Centre, Germany, as part of the Helmholtz Data Federation initiative. EK and SK acknowledge that this work was supported by computational time granted from the National Infrastructures for Research and Technology S.A. (GRNET S.A.) in the National HPC facility—ARIS— under project ID pr009020_thin. RMC and PMMS were supported by project LEADING – PTDC/CTA-MET/28914/2017, and project UIDB/50019/2020—IDL. JM acknowledges the support of the funding from the Spanish Agencia Estatal de Investigación through the Unidad de Excelencia Mar\'ia de Maeztu with reference MDM-2017-0765. JF and SS acknowledge support from the Spanish Agencia Estatal de Investigación (MCIN/AEI/0.13039/501100011033) through project CORDyS (PID2020-116595RB-I00). UCAN simulations were carried out on the Altamira Supercomputer at the Institute of Physics of Cantabria (IFCA-CSIC), member of the Spanish Supercomputing Network. ØH acknowledges funding from the Research Council of Norway (grant no. 275589, GREAT project) and computing resources from Notur (NN9188K). LS acknowledges funding from PON Ricerca e Innovazione 2014–2020 “AIM”—Attraction and international mobility program. EU Social Fund and Regional Development Fund; Ministero dell’Istruzione e della Ricerca, grant number AIM1858058. Computing resources at CETEMPS (University of L’Aquila) and from The Norwegian academic high-performance computing and storage services Notur/Norstore projects NN9280K/NS9001K. Finally, LS thanks Maria Chara Karypidou (AUTH) for the helpful discussions about part of the study results. DB acknowledges the EU Horizon 2020 project EUCP (Grant no. 776613) and the Formas EDUCAS project (grant no. 2019-00829).es_ES
dc.format.extent37 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(6), 4635-4671es_ES
dc.subject.otherRegional climate modelses_ES
dc.subject.otherMulti-model ensemble simulationses_ES
dc.subject.otherConvection-permitting scalees_ES
dc.subject.otherHeatwaveses_ES
dc.titleInvestigating the representation of heatwaves from an ensemble of km-scale regional climate simulations within CORDEX-FPS convectiones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1007/s00382-023-06769-9es_ES
dc.rights.accessRightsopenAccesses_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/s00382-023-06769-9
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