||Monbet Valérie1, 2, Ailliot P1, Prevosto Marc2
||1 : Univ S Brittany, Dept Appl Stat, F-56017 Vannes, France.
2 : IFREMER, Ctr Brest, ERT HO, Hydrodynam & Metocean, F-29280 Plouzane, France.
||Probabilistic Engineering Mechanics (0266-8920) (Elsevier), 2007-04 , Vol. 22 , N. 2 , P. 113-126
|WOS© Times Cited
||Model validation, Simulation, Nonlinear time series, Wind, Sea state
||The knowledge of sea state and wind conditions is of central importance for many offshore and nearshore operations. In this paper, we make a complete survey of stochastic models for sea state and wind time series. We begin with methods based on Gaussian processes, then non-parametric resampling methods for time series are introduced followed by various parametric models. We also propose an original statistical method, based on Monte Carlo goodness-of-fit tests, for model validation and comparison and this method is illustrated on an example of multivariate sea state time series. (C) 2006 Elsevier Ltd. All rights reserved.