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This paper addresses the analysis, modeling and simulation of measured full-scale wind pressure and velocity data. The records exhibit both non-Gaussian and non-stationary features, and are ideal for the application of a number of contemporary methods for handling the types of problems associated with these characteristics. Modeling the probability density function (pdf) of non-Gaussian pressure is first addressed, followed by the simulation of pressure data through new static transformation techniques. The non-stationary portion of the pressure data is isolated and decomposed into a set of localized basis functions using wavelet transform techniques. Wavelet analysis is used for the identification of energy flux in time and for simulation of the non-stationary wind velocity records.
Gurley et al. (Tue,) studied this question.