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dc.contributor.authorHa, Minh T.
dc.contributor.authorBastin, Sophie
dc.contributor.authorDrobinski, Philippe
dc.contributor.authorFita Borrell, Lluís 
dc.contributor.authorPolcher, Jan
dc.contributor.authorBock, Olivier
dc.contributor.authorChiriaco, Marjolaine
dc.contributor.authorBelusic, Danijel
dc.contributor.authorCaillaud, Cécile
dc.contributor.authorDobler, Andreas
dc.contributor.authorFernández Fernández, Jesús (matemático) 
dc.contributor.authorGoergen, Klaus
dc.contributor.authorHodnebrog, Oivind
dc.contributor.authorKartsios, Stergios
dc.contributor.authorKatragkou, Eleni
dc.contributor.authorLavín Gullón, Álvaro 
dc.contributor.authorLorenz, Torge
dc.contributor.authorMilovac, Josipa
dc.contributor.authorPanitz, Hans Jürgen
dc.contributor.authorSobolowski, Stefan
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-09-12T15:51:18Z
dc.date.available2024-09-12T15:51:18Z
dc.date.issued2024-06
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/10902/33787
dc.description.abstractRecent studies using convection-permitting (CP) climate simulations have demonstrated a step-change in the representation of heavy rainfall and rainfall characteristics (frequency-intensity) compared to coarser resolution Global and Regional climate models. The goal of this study is to better understand what explains the weaker frequency of precipitation in the CP ensemble by assessing the triggering process of precipitation in the different ensembles of regional climate simulations available over Europe. We focus on the statistical relationship between tropospheric temperature, humidity and precipitation to understand how the frequency of precipitation over Europe and the Mediterranean is impacted by model resolution and the representation of convection (parameterized vs. explicit). We employ a multi-model data-set with three different resolutions (0.44°, 0.11° and 0.0275°) produced in the context of the MED-CORDEX, EURO-CORDEX and the CORDEX Flagship Pilot Study "Convective Phenomena over Europe and the Mediterranean" (FPSCONV). The multi-variate approach is applied to all model ensembles, and to several surface stations where the integrated water vapor (IWV) is derived from Global Positioning System (GPS) measurements. The results show that all model ensembles capture the temperature dependence of the critical value of IWV (IWVcv), above which an increase in precipitation frequency occurs, but the differences between the models in terms of the value of IWVcv, and the probability of its being exceeded, can be large at higher temperatures. The lower frequency of precipitation in convection-permitting simulations is not only explained by higher temperatures but also by a higher IWVcv necessary to trigger precipitation at similar temperatures, and a lower probability to exceed this critical value. The spread between models in simulating IWVcv and the probability of exceeding IWVcv is reduced over land in the ensemble of models with explicit convection, especially at high temperatures, when the convective fraction of total precipitation becomes more important and the influence of the representation of entrainment in models thus becomes more important. Over lowlands, both model resolution and convection representation affect precipitation triggering while over mountainous areas, resolution has the highest impact due to orography-induced triggering processes. Over the sea, since lifting is produced by large-scale convergence, the probability to exceed IWVcv does not depend on temperature, and the model resolution does not have a clear impact on the results.es_ES
dc.description.sponsorshipAll authors gratefully acknowledge the WCRPCORDEX-FPS on Convective phenomena at high resolution over Europe and the Mediterranean (FPSCONVALP- 3) and the research data exchange infrastructure and services provided by the Jülich Supercomputing Centre, Germany, as part of the Helmholtz Data Federation initiative. To process the data, this study benefted from the IPSL mesocenter ESPRI facility which is supported by CNRS, UPMC, Labex L-IPSL, CNES and Ecole Polytechnique, and received funding from the HORIZON 2020 EUCP (European Climate Prediction System) project (https://www.eucp-project.eu, grant agreement No. 776613). IPSL, CNRM and SMHI also acknowledge funding from the HORIZON 2020 EUCP. IPSL’s simulation was granted access to the HPC resources of IDRIS under the allocations of the project 0227 " Fonctionnement de la Mediterranee : circulation et ecosystemes" and HPC resources of TGCC under the allocation A0090106877 made by GENCI. The GPS and SIRTA-ReOBS datasets are maintained by the French national center for Atmospheric data and services AERIS and Research Infrastructure ACTRIS-FR. J.M. acknowledges the support of the Spanish Government through the Agencia Estatal de Investigaci\'on (project PID2019-111481RB-I00 and ``Unidad de excelencia Mar\'ia de Maeztu'' MdM-2017-0765). Ø.H. has received support from the project GREAT, funded by the Research Council of Norway (grant no. 275589), and acknowledge computing resources from Notur (NN9188K). AUTH simulations were 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 pr009020_thin. UCAN simulations have been carried out on the Altamira Supercomputer at the Instituto de Física de Cantabria (IFCA-CSIC), member of the Spanish Supercomputing Network. JF acknowledges support from project CORDyS (PID2020-116595RBI00) funded by MCIN/AEI/10.13039/501100011033. K.G. and H.T. acknowledge the computing time granted by the John von Neumann Institute for Computing (NIC) and through JARA-HPC on the supercomputer JURECA at the Jülich Supercomputing Centre (JSC) through the grant JJSC39. H.T. additionally acknowledges the support received via the project “reclip:convex”, funded by the Austrian Climate Research Programme (ACRP) of the Klima- und Energiefonds (no. B769999), the Vienna Scientifc Cluster (VSC) via the grants 70992 and 71193, as well as the cooperation project GEOCLIM Data Infrastructure Austria, funded by the Austrian Education, Science and Research Ministry (BMBWF).es_ES
dc.format.extent26 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), 4515-4540es_ES
dc.subject.otherPrecipitation triggeringes_ES
dc.subject.otherConvection-permitting modelses_ES
dc.subject.otherConvection processeses_ES
dc.subject.otherIntegrated water vapores_ES
dc.titlePrecipitation frequency in Med-CORDEX and EURO-CORDEX ensembles from 0.44° to convection-permitting resolution: impact of model resolution and convection representationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1007/s00382-022-06594-6es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111481RB-I00/ES/CONTRIBUCION ESPAÑOLA AL ATLAS DEL IPCC-AR6: DESARROLLO Y PROBLEMAS CIENTIFICOS/es_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/s00382-022-06594-6
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