Abstract
Special attention is paid to the phenomenon of which fluctuations due to small scale eddies in the inertial range of fully turbulent flows provide intermittency. In order to investigate this intermittent structure in natural winds, the wavelet transform is applied to the time history of a measured wind velocity fluctuation. Reflecting the intermittency, the result indicates that the probability density functions of the wavelet coefficients at high scale-parameters, which correspond to the statistical characteristics of the small scale fluctuations, deviate from the Gaussian distributions. Taking this intermittency into account, a method using the inverse wavelet transform to generate artificial wind velocity data is suggested. The characteristics of the time histories produced with the proposed method are discussed.
