Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.11765/1347
Clustering methods for statistical downscaling in short-range weather forecast
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.contributor.authorGutiérrez Llorente, José Manueles_ES
dc.contributor.authorCofiño González, Antonio Santiagoes_ES
dc.contributor.authorCano Trueba, Rafaeles_ES
dc.contributor.authorRodríguez, Miguel Ángeles_ES
dc.date.accessioned2016-03-18T12:33:50Z-
dc.date.available2016-03-18T12:33:50Z-
dc.date.issued2004-
dc.identifier.citationMonthly Weather Review. 2004, 132(9), p. 2169-2183es_ES
dc.identifier.issn0027-0644-
dc.identifier.issn1520-0493-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/1347-
dc.description.abstractIn this paper we present an application of clustering algorithms for statistical downscaling in short-range weather forecast. The advantages of this technique compared with standard nearest neighbors analog methods are described both in terms of computational efficiency and forecast skill. We report some validation results of daily precipitation and maximum wind speed operative downscaling (lead time 1 to 5 days) on a network of 100 stations in the Iberian Peninsula the period 1998-1999. These results indicate that the weighting clustering method introduced in this paper clearly outperforms standard analog techniques for nfrequent, or extreme, events (precipitation > 20mm, wind > 80km/h). Outputs of an operative circulation model on different local-area or large-scale grids are considered to characterize the atmospheric circulation patterns, and the skill of both alternatives is compared.es_ES
dc.description.sponsorshipThe authors are also grateful to the University of Cantabria, CSIC, and the Comisión Interministerial de Ciencia y Tecnología (CICYT; Grant REN2000-1572) for partial support of this work.-
dc.formatapplication/pdf-
dc.language.isoenges_ES
dc.publisherAmerican Meteorological Societyes_ES
dc.subjectClustering methodses_ES
dc.subjectStatistical downscalinges_ES
dc.subjectShort-range weather forecastes_ES
dc.titleClustering methods for statistical downscaling in short-range weather forecastes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1175/1520-0493(2004)132<2169:CMFSDI>2.0.CO;2es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Colecciones: Artículos científicos 2000-2004


Ficheros en este ítem:
  Fichero Descripción Tamaño Formato  
2004_Gutierrez_MWR.pdf
2,68 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro sencillo del ítem



Los ítems de Arcimis están protegidos por una Licencia Creative Commons, salvo que se indique lo contrario.

Repositorio Arcimis
Nota Legal Contacto y sugerencias