V. Monbet et M. Prevosto, Bivariate simulation of non stationary and non Gaussian observed processes- Application to sea state parameters, APPL OCEAN, 23(3), 2001, pp. 139-145
A method for artificially generating operational sea state histories has be
en 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. Th
e time series respects the physical constraints existing between the signif
icant wave height and the peak period. Furthermore, we show that the persis
tence properties of the simulations match to those of the observations. (C)
2001 Elsevier Science Ltd. All rights reserved.