Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45253
Title: Parameter estimation in a three-dimensional wind field model using genetic algorithms
Authors: Rodríguez, Eduardo 
Montero, Gustavo 
Montenegro, Rafael 
Escobar, José María 
González-Yuste, José María
UNESCO Clasification: 12 Matemáticas
Keywords: Adaptive mesh refinement
Finite element method
Genetic algorithms
Mass consistent models
Parameter estimation
Wind field modelling
Issue Date: 2002
Journal: Lecture Notes in Computer Science 
Conference: International Conference on Computational Science 
International Conference on Computational Science, ICCS 2002 
Abstract: The efficiency of a mass consistent model for wind field adjustment depends on several parameters that arise in various stages of the process. First, those involved in the construction of the initial wind field using horizontal interpolation and vertical extrapolation of the wind measures registered at meteorological stations. On the other hand, the Gauss precision moduli which allow from a strictly horizontal wind adjustment to a pure vertical one. In general, the values of all of these parameters are based on empirical laws. The main goal of this work is the estimation of these parameters using genetic algorithms, such that the wind velocities observed at the measurement station are regenerated as much as possible by the model.
URI: http://hdl.handle.net/10553/45253
ISBN: 978-3-540-43591-4
3540435913
ISSN: 0302-9743
DOI: 10.1007/3-540-46043-8_96
Source: Sloot P.M.A., Hoekstra A.G., Tan C.J.K., Dongarra J.J. (eds) Computational Science — ICCS 2002. Lecture Notes in Computer Science, vol 2329, p. 950-959. Springer, Berlin, Heidelberg
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