TY - JOUR T1 - Bivariate simulation of non stationary and non Gaussian observed processes - Application to sea state parameters A1 - Monbet,Valerie A1 - Prevosto,Marc AD - UBS, SABRES, F-56000 Vannes, France. AD - UR - https://archimer.ifremer.fr/doc/00000/4343/ DO - 10.1016/S0141-1187(01)00011-6 KW - Bivariate simulation KW - Non Gaussian processes KW - Wave data KW - Non parametric simulation N2 - 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. Y1 - 2001/06 PB - Elsevier JF - Applied Ocean Research SN - 0141-1187 VL - 23 IS - 3 SP - 139 EP - 145 ID - 4343 ER -