| Type |
Article |
| Date |
2001-06 |
| Language |
English |
| Author(s) |
Monbet Valerie, Prevosto Marc |
| Affiliation(s) |
UBS, SABRES, F-56000 Vannes, France. |
| Source |
Applied Ocean Research (0141-1187) (Elsevier), 2001-06 , Vol. 23 , N. 3 , P. 139-145 |
| DOI |
10.1016/S0141-1187(01)00011-6 |
| WOS© Times Cited |
32 |
| Keyword(s) |
Bivariate simulation, Non Gaussian processes, Wave data, Non parametric simulation |
| Abstract |
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. |
| Full Text |
| File |
Pages |
Size |
Access |
| publication-4343.pdf |
13 |
275 KB |
Open access |
|
