Section: New Results

Stochastic wind–wave modelling

Participant : Valérie Monbet.

This is a collaboration with Pierre Ailliot (UBO) and Christophe Maisondieu (IFREMER)

Directional wave spectra generally exhibit several peaks due to the coexistence of wind sea generated by local wind conditions and swells originating from distant weather systems. This paper proposes a new algorithm for partitioning such spectra and retrieving the various systems which compose a complex sea–state. It is based on a sequential Monte–Carlo algorithm which allows to follow the time evolution of the various systems. The main particularity of the algorithm is that the dimension of the hidden state can change from time to time and a model selection step is included. The proposed methodology is validated on both synthetic and real spectra and the results are compared with a method commonly used in the literature.