English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/126223
COMPARTIR / IMPACTO:
Estadísticas
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:
Título

S4CAST v2.0: sea surface temperature based statistical seasonal forecast model

AutorSuárez-Moreno, Roberto; Rodríguez-Fonseca, Belén
Palabras claveSea surface temperature
Forecasting
Fecha de publicación6-nov-2015
EditorEuropean Geosciences Union
Copernicus Publications
CitaciónGeoscientific Model Development, 8 (11): 3639-3658 (2015)
ResumenSea surface temperature is the key variable when tackling seasonal to decadal climate forecasts. Dynamical models are unable to properly reproduce tropical climate variability, introducing biases that prevent a skillful predictability. Statistical methodologies emerge as an alternative to improve the predictability and reduce these biases. In addition, recent studies have put forward the non-stationary behavior of the teleconnections between tropical oceans, showing how the same tropical mode has different impacts depending on the considered sequence of decades. To improve the predictability and investigate possible teleconnections, the sea surface temperature based statistical seasonal foreCAST model (S4CAST) introduces the novelty of considering the non-stationary links between the predictor and predictand fields. This paper describes the development of the S4CAST model whose operation is focused on studying the impacts of sea surface temperature on any climate-related variable. Two applications focused on analyzing the predictability of different climatic events have been implemented as benchmark examples.
Versión del editorhttp://dx.doi.org/10.5194/gmd-8-3639-2015
URIhttp://hdl.handle.net/10261/126223
DOI10.5194/gmd-8-3639-2015
ISSN1991-959X
E-ISSN1991-9603
Aparece en las colecciones: (IGEO) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
GMD_2015_8_3639.pdf1,69 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 


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