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SIAM Journal on Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal 5 (2) (2006) 514 -- 531

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Long term object drift in the ocean with tide and wind.

Pierre Ailliot1, 2, Emmanuel Frenod1, 3, Valerie Monbet1, 2

In this paper, we propose a new method to forecast the drift of objects in near coastal ocean on a period of several weeks. The proposed approach consists in estimating the probability of events linked to the drift using Monte Carlo simulations. It couples an averaging method which permits to decrease the computational cost and a statistical method in order to take into account the variability of meteorological loading factors.

1:	LEMEL - Laboratoire d'Etude et Modélisation des Environnements littoraux
2:	SABRES - Laboratoire de Statistique Appliquée de l'Université de Bretagne-Sud
3:	LMAM - Laboratoire de Mathématiques et Applications des Mathématiques, EA 3885

Keyword(s) : Averaging method – Two scale modeling – Monte Carlo simulation – Wind time series – Ocean forecasting – Object drift

hal-00129093, version 1

http://hal.archives-ouvertes.fr/hal-00129093

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From: Emmanuel Frenod <>

Submitted on: Friday, 23 February 2007 11:40:11

Updated on: Monday, 26 February 2007 11:22:13