...
首页> 外文期刊>Nonlinear processes in geophysics >Review Article: 'The Lagrangian description of aperiodic flows: A case study of the Kuroshio Current'
【24h】

Review Article: 'The Lagrangian description of aperiodic flows: A case study of the Kuroshio Current'

机译:评论文章:“非周期性流动的拉格朗日描述:以黑潮潮流为例”

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This article reviews several recently developed Lagrangian tools and shows how their combined use succeeds in obtaining a detailed description of purely advective transport events in general aperiodic flows. In particular, because of the climate impact of ocean transport processes, we illustrate a 2-D application on altimeter data sets over the area of the Kuroshio Current, although the proposed techniques are general and applicable to arbitrary time dependent aperiodic flows. The first challenge for describing transport in aperiodical time dependent flows is obtaining a representation of the phase portrait where the most relevant dynamical features may be identified. areas that are related to confinement regions. This representation is accomplished by using global Lagrangian descriptors that when applied for instance to the altimeter data sets retrieve over the ocean surface a phase portrait where the geometry of interconnected dynamical systems is visible. The phase portrait picture is essential because it evinces which transport routes are acting on the whole flow. Once these routes are roughly recognised, it is possible to complete a detailed description by the direct computation of the finite time stable and unstable manifolds of special hyperbolic trajectories that act as organising centres of the flow.
机译:本文回顾了几种最近开发的拉格朗日工具,并说明了它们的组合使用如何成功获得对一般非周期性流中纯对流输运事件的详细描述。特别是,由于海洋运输过程对气候的影响,我们在黑潮海域的高度表数据集上说明了二维应用,尽管所提出的技术是通用的,并且适用于任意随时间变化的非周期性流动。描述非周期时间相关流中运输的第一个挑战是获得相像的表示,在其中可以识别出最相关的动力学特征。与限制区域有关的区域。这种表示是通过使用全局拉格朗日描述符来完成的,该描述符在应用于海拔高度数据集时,例如在海面上检索出一个相像,在该相像中可以看到相互连接的动力学系统的几何形状。相图图片是必不可少的,因为它可以表明哪些运输路线作用于整个流程。一旦大致识别了这些路线,就可以通过直接计算作为流的组织中心的特殊双曲线轨迹的有限时间稳定和不稳定流形来完成详细描述。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号