Data/hora: 05/06/2024 18:12:42

Provedor de dados: | 5
País: | France
Título: | Bivariate simulation of non stationary and non Gaussian observed processes - Application to sea state parameters
Autores: | Monbet, Valerie; Prevosto, Marc.
Data: | 2001-06
Ano: | 2001
Palavras-chave: | Bivariate simulation; Non Gaussian processes; Wave data; Non parametric simulation.
Resumo: | 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.
Tipo: | Text
Idioma: | Inglês

Identificador:

http://archimer.ifremer.fr/doc/2001/publication-4343.pdf

DOI:10.1016/S0141-1187(01)00011-6

Editor: | Elsevier
Relação: | http://archimer.ifremer.fr/doc/00000/4343/
Formato: | application/pdf
Fonte: | Applied Ocean Research (0141-1187) (Elsevier), 2001-06 , Vol. 23 , N. 3 , P. 139-145
Fonte: | 2001 Elsevier Science Ltd. All rights reserved.