Ensemble wind forecasting based on the HARMONIE model and adaptive finite elements in complex orography


Autoria(s): Oliver Serra, Albert; Rodríguez, Eduardo; Escobar Sánchez, José María; Montero García, Gustavo; Hortal Reymundo, Mariano; CalvoSánchez, Francisco Javier; Cascón Barbero, José Manuel; Montenegro Armas, Rafael
Data(s)

04/05/2016

04/05/2016

2014

Resumo

<p>[EN]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…</p>

Identificador

http://hdl.handle.net/10553/16838

722247

Idioma(s)

spa

Direitos

Acceso libre

by-nc-nd

Fonte

<p>14th EMS Annual Meeting & 10th European Conference on Applied Climatology (ECAC). -- Prague, Czech Republic. -- 6-10 October 2014.</p>

Palavras-Chave #1206 Análisis numérico #1204 Geometría #2509 Metereología #250908 Micrometeorología #250909 Predicción numérica meteorológica
Tipo

info:eu-repo/semantics/conferenceObject