Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45229
Title: Wind forecasting based on the HARMONIE model and adaptive finite elements
Authors: Oliver, Albert 
Rodriguez, Eduardo 
Escobar Sánchez, José M 
Montero, Gustavo 
Hortal, Mariano
Calvo, Javier
Cascón, José Manuel
Montenegro, Rafael 
UNESCO Clasification: 12 Matemáticas
Keywords: Adaptive finite element method
HARMONIE model
Local wind field forecasting
Mass-consistent model
Complex topography, et al
Issue Date: 2015
Project: Avances en Simulación de Campos de Viento y Radiación Solar. 
Journal: Pure and Applied Geophysics 
Abstract: In this paper, we introduce a new method for wind field forecasting over complex terrain. The main idea is to use the predictions of the HARMONIE meso-scale model as the input data for an adaptive finite element mass-consistent wind model. The HARMONIE results (obtained with a maximum resolution of about 1 km) are refined in a local scale (about a few metres). An interface between both models is implemented in such a way that the initial wind field is obtained by a suitable interpolation of the HARMONIE results. Genetic algorithms are used to calibrate some parameters of the local wind field model in accordance to the HARMONIE data. In addition, measured data are considered to improve the reliability of the simulations. An automatic tetrahedral mesh generator, based on the meccano method, is applied to adapt the discretization to complex terrains. The main characteristic of the framework is a minimal user intervention. The final goal is to validate our model in several realistic applications on Gran Canaria island, Spain, with some experimental data obtained by the AEMET in their meteorological stations. The source code of the mass-consistent wind model is available online at http://www.dca.iusiani.ulpgc.es/Wind3D/.
URI: http://hdl.handle.net/10553/45229
ISSN: 0033-4553
DOI: 10.1007/s00024-014-0913-9
Source: Pure and Applied Geophysics [ISSN 0033-4553], v. 172 (1), p. 109-120, (Enero 2014)
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