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Development of a European Multi-Model Ensemble System for Seasonal to Inter-Annual Prediction (DEMETER)

Authors :
Palmer, Tim
Alessandri, Andrea
Andersen, U.
Cantelaube, P.
Davey, M.
Délécluse, P.
Déqué, Michel
Díez Muyo, Elia
Doblas-Reyes, Francisco Javier
Feddersen, Henrik
Graham, Richard
Gualdi, Silvio
Guérémy, J. -F.
Hagedorn, R.
Hoshen, M.
Latif, Mojib
Lazar, Alban
Maisonnave, E.
Marletto, Vittorio
Morse, Andrew
Orfila, Bartolomé
Rogel, P.
Terres, J. -M.
Thomson, Madeleine C.
Source :
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET), Agencia Estatal de Meteorología (AEMET)
Publication Year :
2004
Publisher :
American Meteorology Society, 2004.

Abstract

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. The DEMETER project has been funded by the European Union under the Contract EVK2-1999-00024.

Details

Database :
OpenAIRE
Journal :
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET), Agencia Estatal de Meteorología (AEMET)
Accession number :
edsair.dedup.wf.001..11a531e0e4d20f5ae7d1b347e1ccf132