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4D-Var on bathymetric effect resolving model for estimating ocean currents in shallow seas

机译:浅析浅海探测近海洋流的碱基效应分辨模型

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We investigate a variational data assimilation technique for retrieval of surface currents in shallow seas. We use a physically based image model consisting of shallow-water equations, which include the effects and source terms obtained from the bathymetry. These terms are included because they can be important with respect to the characteristics of currents in shallow sea regions. In order to retrieve the currents from the model, a sequence of passive tracer information must be assimilated into the model with a four-dimensional variational (4D-Var) data assimilation technique. The present study attempts to investigate the effects of the major parameters used in the proposed current retrieval scheme on the results as well as the scheme performance. The results obtained by investigating two problems are discussed and analyzed in order to obtain essential information on how to use the scheme to successfully retrieve currents from a sequence of satellite images.
机译:我们研究了浅海洋表面电流检索的变分数据同化技术。我们使用由浅水方程组成的物理上的图像模型,其包括从碱基测定法获得的效果和源术语。这些术语包括在内,因为它们对于浅海地区电流的特征可能是重要的。为了从模型中检索电流,必须通过四维变化(4d-var)数据同化技术将一系列被动示踪信息的信息被同化到模型中。本研究试图调查所提出的当前检索方案中使用的主要参数对结果以及方案性能的影响。通过调查两个问题获得的结果是讨论和分析,以获得有关如何使用该方案成功检索来自一系列卫星图像序列的电流的基本信息。

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