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Publications
Clarindo, G., Guedes Soares, C. and Vanem, E. (2025), Modeling sea waves accounting for serial correlations and seasonal effects for the Aguçadoura offshore site test, Innovations in Renewable Energies Offshore, Guedes Soares, C. & Wang S. (Ed.), Taylor and Francis Group, London, UK, 1045-1053.
This article presents an approach for simulating data of significant wave height and wave period. The novelty of the method for simulating time-series lies in preserving the marginal distribution as well as the autocorrelation structure of the original observed data. Thus, the effect of serial correlation on extreme values is considered for the final simulations, without the need for subsampling and de-clustering the data. This modeling approach provides essential information for applications in marine engineering in general, as it realistically simu-lates the distributional properties of variables and its serial correlations. So, seasonal variation is removed from the data in a pre-processing step, and the distributions are then fitted. The seasonal component can then be added back to the simulated data from the time-series model to perform extreme value analysis and other inferences. The modeling is demonstrated in a univariate case application for sea states measured hourly located in the North of Portugal continental coast, named Aguçadoura offshore marine site test.
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