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http://hdl.handle.net/20.500.11765/1869
Development of a European Multi-Model Ensemble System for Seasonal to Inter-Annual Prediction (DEMETER)
Título : | Development of a European Multi-Model Ensemble System for Seasonal to Inter-Annual Prediction (DEMETER) |
Autor : | Palmer, Tim; Alessandri, Andrea; Andersen, U.; Cantelaube, P.; Davey, M.; Délécluse, P.; Déqué, Michel; Díez Muyo, Elia![]() ![]() ![]() ![]() |
Palabras clave : | DEMETER; Seasonal forecast; Ensemble Prediction System; Atmosphere–ocean coupled models; Precipitation forecasts |
Fecha de publicación : | 2004 |
Editor: | American Meteorological Society |
Citación : | Bulletin of the American Meteorological Society. 2004, 85(6), p. 853–872 |
Versión del editor: | http://dx.doi.org/10.1175/BAMS-85-6-853 |
Resumen : | A multi-model ensemble-based system for seasonal-to-interannual prediction has been developed in a joint European project known as DEMETER (Development of a European Multimodel Ensemble Prediction System for Seasonal to Interannual Prediction). The DEMETER system comprises seven global atmosphere–ocean coupled models, each running from an ensemble of initial conditions. Comprehensive hindcast evaluation demonstrates the enhanced reliability and skill of the multimodel ensemble over a more conventional single-model ensemble approach. In addition, innovative examples of the application of seasonal ensemble forecasts in malaria and crop yield prediction are discussed. The strategy followed in DEMETER deals with important problems such as communication across disciplines, downscaling of climate simulations, and use of probabilistic forecast information in the applications sector, illustrating the economic value of seasonal-to-interannual prediction for society as a whole. |
Patrocinador: | The DEMETER project has been funded by the European Union under the Contract EVK2-1999-00024. |
URI : | http://hdl.handle.net/20.500.11765/1869 |
ISSN : | 0003-0007 1520-0477 |
Colecciones: | Artículos científicos 2000-2004 |
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![]() | demeter_ BAMS-2004.pdf | 1,01 MB | Adobe PDF | ![]() Visualizar/Abrir |
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