Generalization of the logistic law of distribution in the statistical analysis of wind-direction dynamics

Abstract

The statistical regularity in the chaotic dynamics of wind direction is established. The distribution density of the increment in a wind-direction angle is approximated by generalizing the logistic law of distribution. Parameters of the approximation function are calculated by the least square method using the experimental data. The conformity between the function proposed and the meteorological data is verified by the Pearson’s chi-squared test and the Kolmogorov test.