Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/213686
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Campo DC Valor Lengua/Idioma
dc.contributor.authorWidmann, Martin-
dc.contributor.authorBedia, Joaquín-
dc.contributor.authorGutiérrez, José M.-
dc.contributor.authorBosshard, Thomas-
dc.contributor.authorHertig, Elke-
dc.contributor.authorMaraun, Douglas-
dc.contributor.authorCasado, María Jesús-
dc.contributor.authorRamos, Petra-
dc.contributor.authorCardoso, Rita M.-
dc.contributor.authorSoares, Pedro M. M.-
dc.contributor.authorRibalaygua, Jamie-
dc.contributor.authorPagé, C.-
dc.contributor.authorFischer, Andreas M.-
dc.contributor.authorHerrera, Sixto-
dc.contributor.authorHuth, R.-
dc.date.accessioned2020-06-08T09:35:52Z-
dc.date.available2020-06-08T09:35:52Z-
dc.date.issued2019-
dc.identifierdoi: 10.1002/joc.6024-
dc.identifiere-issn: 1097-0088-
dc.identifierissn: 0899-8418-
dc.identifier.citationInternational Journal of Climatology 39(9): 3819-3845 (2019)-
dc.identifier.urihttp://hdl.handle.net/10261/213686-
dc.description.abstractThe spatial dependence of meteorological variables is crucial for many impacts, for example, droughts, floods, river flows, energy demand, and crop yield. There is thus a need to understand how well it is represented in downscaling (DS) products. Within the COST Action VALUE, we have conducted a comprehensive analysis of spatial variability in the output of over 40 different DS methods in a perfect predictor setup. The DS output is evaluated against daily precipitation and temperature observations for the period 1979–2008 at 86 sites across Europe and 53 sites across Germany. We have analysed the dependency of correlations of daily temperature and precipitation series at station pairs on the distance between the stations. For the European data set, we have also investigated the complexity of the downscaled data by calculating the number of independent spatial degrees of freedom. For daily precipitation at the German network, we have additionally evaluated the dependency of the joint exceedance of the wet day threshold and of the local 90th percentile on the distance between the stations. Finally, we have investigated regional patterns of European monthly precipitation obtained from rotated principal component analysis. We analysed Perfect Prog (PP) methods, which are based on statistical relationships derived from observations, as well as Model Output Statistics (MOS) approaches, which attempt to correct simulated variables. In summary, we found that most PP DS methods, with the exception of multisite analog methods and a method that explicitly models spatial dependence yield unrealistic spatial characteristics. Regional climate model-based MOS methods showed good performance with respect to correlation lengths and the joint occurrence of wet days, but a substantial overestimation of the joint occurrence of heavy precipitation events. These findings apply to the spatial scales that are resolved by our observation network, and similar studies with higher resolutions, which are relevant for small hydrological catchment, are desirable.-
dc.description.sponsorshipEU, Grant/Award Number: EU COST Action ES1102.-
dc.languageeng-
dc.publisherJohn Wiley & Sons-
dc.relation.isversionofPostprint-
dc.rightsopenAccess-
dc.subjectBias adjustment-
dc.subjectDownscaling-
dc.subjectModel output statistics-
dc.subjectPerfect prognosis-
dc.subjectRegional climate-
dc.subjectSpatialvariability-
dc.subjectValidation-
dc.titleValidation of spatial variability in downscaling results from the VALUE perfect predictor experiment-
dc.typeartículo-
dc.identifier.doi10.1002/joc.6024-
dc.relation.publisherversionhttps://doi.org/10.1002/joc.6024-
dc.date.updated2020-06-08T09:35:54Z-
dc.contributor.funderEuropean Commission-
dc.relation.csic-
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
Aparece en las colecciones: (IFCA) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato
Validationexperiment.pdf5,77 MBAdobe PDFVista previa
Visualizar/Abrir
Show simple item record

CORE Recommender

SCOPUSTM   
Citations

26
checked on 27-mar-2024

WEB OF SCIENCETM
Citations

21
checked on 21-feb-2024

Page view(s)

119
checked on 28-mar-2024

Download(s)

84
checked on 28-mar-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.