Survey of stochastic models for wind and sea state time series

The knowledge of sea state and wind conditions is of central importance for many offshore or nearshore operations. In this paper, we make a complete survey of stochastic models for sea state and wind time series. We begin the presentation with methods based on Gaussian processes and non parametric resampling methods for time series are introduced followed by various parametric models. Finally we propose an original statistical method, based on Monte Carlo goodness-of-fit tests, for model validation and comparison. The use of this method is illustrated by an example on wind speed data in North Atlantic. keyword Sea state, Wind, Non linear time series, Simulation, Prediction, Reconstruction, Model validation.