Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.11765/1193
A short-range ensemble precipitation prediction system over the Iberian Peninsula and Balearics
Título : A short-range ensemble precipitation prediction system over the Iberian Peninsula and Balearics
Otros títulos : Sistema de predicción por conjuntos a corto plazo sobre la Península Ibérica y Baleares
Autor : Santos Muñoz, Daniel; Martín Pérez, María Luisa; Valero Rodríguez, Francisco; Luna Rico, Yolanda; Morata Gasca, Ana; Pascual, Álvaro
Palabras clave : Precipitation; Predicción por conjuntos; Predicción a corto plazo; Precipitación; Ensemble forecasting; Short-range prediction
Fecha de publicación : 2009
Editor: Universidad Complutense de Madrid
Citación : Física de la Tierra. 2009, vol. 21, p. 93-103
Versión del editor: https://revistas.ucm.es/index.php/FITE/article/view/FITE0909110093A
Resumen : A short-range ensemble precipitation forecast system has been constructed over the Iberian Peninsula and Balearics by means of the fifth-generation Pennsylvania State University-National Center for Atmospheric Research Model (MM5). The ensemble system onsists of ten members, each run with a different combination of two different initial conditions from global models, IFS-ECMWF and GFS-NCEP, and five different subgrid-scale physics configurations for one month period, October 2006. The mesoscale verification is made by using observational precipitation data of the Spanish Climatic Network. The created short-range ensemble shows high spread-skill correlation values for daily precipitation. However, the asymmetric shape of the rank histogram indicates some underdispersion, suggesting a biased behaviour. The Talagrand shows as well the underdispersive effect because of its asymmetric distribution. The Relative Operating Characteristic curve shows a very outstanding area indicating the good discrimination capacity. The reliability diagrams are also indicative of the good reliability of the forecasting system, depicting in general good agreement between forecast probability and the mean observed frequency. Because of that, the verification proves the usefulness of the forecasting system over the study area.
Patrocinador: This work has been partially supported by the research projects CGL2007- 61328/CLI and UE Safewind G.A. No. 213740.
URI : http://hdl.handle.net/20.500.11765/1193
ISSN : 0214-4557
1988-2440
Colecciones: Artículos científicos 2005-2009


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