English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/94079
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Interval-based statistical validation of operational seasonal forecasts in Spain conditioned to ENSO events

AutorSordo, C.; Frías, M. D.; Herrera, S. ; Cofiño, A. S.; Gutiérrez, José M.
Palabras claveInterval-based method
Operational seasonal forecast
Statistical downscaling
Fecha de publicación2008
EditorAmerican Geophysical Union
John Wiley & Sons
CitaciónJournal of Geophysical Research 113(D17): D17121 (2008)
ResumenAs opposed to the tropics, operational seasonal forecasting systems have shown little or no skill in European midlatitudes. In this paper we explore the potential source of predictability in this region given by El Niño¿Southern Oscillation (ENSO) events; in particular we analyze winter rainfall in Spain. First, we apply a simple statistical method to assess the teleconnections between rainfall records in 123 gauges over Spain and ENSO events during the last 40 years. A significant teleconnection for dry winter episodes is found associated with La Niña events, extending the results obtained in previous studies. Then, we adapt the statistical method to perform operational seasonal forecasts validation conditioned to ENSO events; in particular we consider a state-of-the-art operational model, the System2 from ECMWF. The validation method defines a forecast interval to account for the ensemble spread, and applies a simple skill measure based on the proportion of hits (observations falling into the forecast interval) compared with a random forecast. As a result, we uncover the significant skill of operational seasonal predictions for reproducing the dry winter episodes associated with La Niña events (a window of opportunity for operational seasonal forecast in midlatitudes). Finally, the results are improved using statistical downscaling methods and some sensitivity studies are conducted. The analysis presented in this paper can be extended to other regions under the influence of any seasonal predictability-driving factor.
Versión del editorhttp://dx.doi.org/10.1029/2007JD009536
Identificadoresdoi: 10.1029/2007JD009536
e-issn: 2156-2202
issn: 0148-0227
Aparece en las colecciones: (IFCA) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
Interval-based statistical.pdf1,45 MBAdobe PDFVista previa
Mostrar el registro completo

Artículos relacionados:

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