Bivariate Simulation of Non Stationary and Non Gaussian Observed Processes Application to Sea State Parameters
نویسندگان
چکیده
A method for arti®cially generating operational sea state histories has been developed. This is a distribution free method to simulate bivariate non stationary and non Gaussian random processes. This method is applied to the simulation of the bivariate process (H s , T p) of sea state parameters. The time series respects the physical constraints existing between the signi®cant wave height and the peak period. Furthermore, we show that the persistence properties of the simulations match to those of the observations. q 2001 Elsevier Science Ltd. All rights reserved.
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