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dc.contributor.authorGonzález Rojí, Santos José
dc.contributor.authorWilby, Robert L.
dc.contributor.authorSáenz Aguirre, Jon
dc.contributor.authorIbarra Berastegi, Gabriel
dc.date.accessioned2020-01-29T09:35:02Z
dc.date.available2020-01-29T09:35:02Z
dc.date.issued2019-08
dc.identifier.citationClimate Dynamics 53(3-4) : 1413-1433 (2019)es_ES
dc.identifier.issn0930-7575
dc.identifier.issn1432-0894
dc.identifier.urihttp://hdl.handle.net/10810/39227
dc.description.abstractThere have been numerous statistical and dynamical downscaling model comparisons. However, differences in model skill can be distorted by inconsistencies in experimental set-up, inputs and output format. This paper harmonizes such factors when evaluating daily precipitation downscaled over the Iberian Peninsula by the Statistical DownScaling Model (SDSM) and two configurations of the dynamical Weather Research and Forecasting Model (WRF) (one with data assimilation (D) and one without (N)). The ERA-Interim reanalysis at 0.75 degrees resolution provides common inputs for spinning-up and driving the WRF model and calibrating SDSM. WRF runs and SDSM output were evaluated against ECA&D stations, TRMM, GPCP and EOBS gridded precipitation for 2010-2014 using the same suite of diagnostics. Differences between WRF and SDSM are comparable to observational uncertainty, but the relative skill of the downscaling techniques varies with diagnostic. The SDSM ensemble mean, WRF-D and ERAI have similar correlation scores (r=0.45-0.7), but there were large variations amongst SDSM ensemble members (r=0.3-0.6). The best Linear Error in Probability Space (LEPS=0.001-0.007) and simulations of precipitation amount were achieved by individual members of the SDSM ensemble. However, the Brier Skill Score shows these members do not improve the prediction by ERA-Interim, whereas precipitation occurrence is reproduced best by WRF-D. Similar skill was achieved by SDSM when applied to station or gridded precipitation data. Given the greater computational demands of WRF compared with SDSM, clear statements of expected value-added are needed when applying the former to climate impacts and adaptation research.es_ES
dc.description.sponsorshipThis work was supported by Grants (CGL2013-45198-C2-1-R and CGL2016-76561-R, MINECO/ERDF, UE). S.J.G.R. was supported by a FPI Postdoctoral Research Grant (MINECO, BES-2014-069977). Additional funding was received from the University of the Basque Country (UPV/EHU, GIU 17/002). Intensive computational resources used in the project were provided by I2BASQUE. The authors thank the creators of the WRF/ARW and WRFDA systems for making them freely available to the community. The authors acknowledge the E-OBS dataset from the EU-FP6 project ENSEMBLES and the data providers in the ECA&D project. NOAA_OI_SST_V2 data provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA. Comments by two anonymous reviewers have significantly improved the manuscript.es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/CGL2013-45198-C2-1-Res_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/CGL2016-76561-Res_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectregional climate modellinges_ES
dc.subjectdynamical downscalinges_ES
dc.subjectstatistical downscalinges_ES
dc.subjectprecipitationes_ES
dc.subjectWRFes_ES
dc.subjectSDSMes_ES
dc.subjectiberian peninsulaes_ES
dc.subjectdata assimilationes_ES
dc.subject3dvar data assimilationes_ES
dc.subjectbias correctiones_ES
dc.subjectinterannual variabilityes_ES
dc.subjectextreme precipitationes_ES
dc.subjectatmospheric moisturees_ES
dc.subjectchange scenarioses_ES
dc.subjectwinter rainfalles_ES
dc.subjectwater-resourceses_ES
dc.subjectsouthern europees_ES
dc.titleHarmonized evaluation of daily precipitation downscaled using SDSM and WRF+WRFDA models over the Iberian Peninsulaes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://link.springer.com/article/10.1007%2Fs00382-019-04673-9es_ES
dc.identifier.doi10.1007/s00382-019-04673-9
dc.departamentoesFísica aplicada IIes_ES
dc.departamentoesIngeniería nuclear y mecánica de fluidoses_ES
dc.departamentoeuFisika aplikatua IIes_ES
dc.departamentoeuIngeniaritza nuklearra eta jariakinen mekanikaes_ES


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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Except where otherwise noted, this item's license is described as This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.