Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/16838
Título: Ensemble wind forecasting based on the HARMONIE model and adaptive finite elements in complex orography
Autores/as: Oliver, Albert 
Rodríguez, Eduardo 
Escobar Sánchez, José María 
Montero García, Gustavo 
Hortal Reymundo, Mariano
Calvo Sánchez, Francisco Javier
Cascón Barbero, José Manuel
Montenegro Armas, Rafael 
Clasificación UNESCO: 1206 Análisis numérico
1204 Geometría
2509 Metereología
250908 Micrometeorología
250909 Predicción numérica meteorológica
Fecha de publicación: 2014
Resumen: Ensemble forecasting is a methodology to deal with uncertainties in the numerical wind prediction. In this work we propose to apply ensemble methods to the adaptive wind forecasting model presented in. The wind field forecasting is based on a mass-consistent model and a log-linear wind profile using as input data the resulting forecast wind from Harmonie, a Non-Hydrostatic Dynamic model used experimentally at AEMET with promising results. The mass-consistent model parameters are estimated by using genetic algorithms. The mesh is generated using the meccano method and adapted to the geometry.
URI: http://hdl.handle.net/10553/16838
Fuente: 14th EMS Annual Meeting & 10th European Conference on Applied Climatology (ECAC). -- Prague, Czech Republic. -- 6-10 October 2014.
Derechos: by-nc-nd
Colección:Actas de congresos
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