A Stochastic Model for Wind Occurrence

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  • 1 Escuela T.S. Ingenieros Agronomos, Universidad de Cordoba, Apartado 246, Cordoba, Spain
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Abstract

Knowledge of wind occurrence in any location is a valuable input in most agricultural studies. A bivariate stochastic process is proposed here as a model of daily wind occurrence. Two wind variables have been considered: 1) horizontal direction, fitted to a first-order Markov chain; and 2) speed, relative to the given direction, fitted to a gamma distribution. Performance of the model is tested by comparing the statistics of generated and experimentally observed data.

Abstract

Knowledge of wind occurrence in any location is a valuable input in most agricultural studies. A bivariate stochastic process is proposed here as a model of daily wind occurrence. Two wind variables have been considered: 1) horizontal direction, fitted to a first-order Markov chain; and 2) speed, relative to the given direction, fitted to a gamma distribution. Performance of the model is tested by comparing the statistics of generated and experimentally observed data.

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