Journal
APPLIED OCEAN RESEARCH
Volume 23, Issue 3, Pages 139-145Publisher
ELSEVIER SCI LTD
DOI: 10.1016/S0141-1187(01)00011-6
Keywords
non parametric simulation; wave data; non Gaussian processes; bivariate simulation
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A method for artificially 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 significant wave height and the peak period. Furthermore, we show that the persistence properties of the simulations match to those of the observations. (C) 2001 Elsevier Science Ltd. All rights reserved.
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