The Top Lyapunov Exponent for a Stochastic Flow Modeling the Upper Ocean Turbulence
The Top Lyapunov Exponent for a Stochastic Flow Modeling the Upper Ocean Turbulence
复制标题
模拟上层海洋湍流的随机流的顶级李亚普诺夫指数
DOI：
--
复制
发表时间：
2002
影响因子：
1.9
通讯作者：
L. Piterbarg
中科院分区：
文献类型：
--
作者：
L. Piterbarg
A stochastic model is proposed for multiparticle Lagrangian motion in the upper ocean. The model is based on hydrodynamics equations with random forcing, includes a few well interpreted and well estimated parameters, and implies a common description of the one-particle motion via a Langevin equation for the particle velocity. The dependence of the top Lyapunov exponent on the model parameters is studied as a part of a Lagrangian predictability problem. In particular, it is found that the Coriolis effect can radically improve the prediction of a Lagrangian particle position based on observations of other particles.
