| Type |
Article |
| Date |
2007-04 |
| Language |
English |
| Author(s) |
Monbet Valérie1, 2, Ailliot P1, Prevosto Marc 2 |
| Affiliation(s) |
1 : Univ S Brittany, Dept Appl Stat, F-56017 Vannes, France.
2 : IFREMER, Ctr Brest, ERT HO, Hydrodynam & Metocean, F-29280 Plouzane, France. |
| Source |
Probabilistic Engineering Mechanics (0266-8920) (Elsevier), 2007-04 , Vol. 22 , N. 2 , P. 113-126 |
| DOI |
10.1016/j.probengmech.2006.08.003 |
| WOS© Times Cited |
62 |
| Keyword(s) |
Model validation, Simulation, Nonlinear time series, Wind, Sea state |
| Abstract |
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. |
| Full Text |
| File |
Pages |
Size |
Access |
| publication-2679.pdf |
33 |
226 KB |
Open access |
|
