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

被引：16

作者：

Ailliot, P.

Frenod, E.

Monbet, V.

机构：

[1] Univ Bretagne Sud, Ctr Yves Coppens, Lab Stat Appl BREtagne Sud, F-56000 Vannes, France

[2] Univ Bretagne Sud, Ctr Yves Coppens, Lemel, F-56000 Vannes, France

[3] Univ Bretagne Sud, Ctr Yves Coppens, LMAM, F-56000 Vannes, France

[4] IFREMER, Ctr Brest, DCB, ERT,HO, F-29280 Plouzane, France

来源：

MULTISCALE MODELING & SIMULATION | 2006年 / 5卷 / 02期

关键词：

averaging method; two scale modeling; Monte Carlo simulation; wind time series; ocean forecasting; object drift;

D O I：

10.1137/050639727

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this paper, we propose a new method to forecast the drift of objects in the near coastal ocean over 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 us to decrease the computational cost with a statistical method in order to take into account the variability of meteorological loading factors.

引用

页码：514 / 531

页数：18

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