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Jose Roldan-Cañas, Adela Garcia-Guzman, and Alberto Losada-Villasante

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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