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Convergence zone analysis for a source in the front area of Kuroshio Extension based on Argo data

机译:基于Argo数据的黑潮扩展区前部源汇聚区分析

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Many studies have been conducted on acoustic propagation in different parts of the seas and oceans, and in this paper, the character of Convergence Zone (CZ) is analyzed in the front area of Kuroshio Extension. With cluster method and empirical orthogonal function decomposition method, formulas have been derived to get the grouped SSPs. After that an SSP field model based on Argo data is obtained by interpolation. On acoustic propagation path through the front area of Kuroshio Extension, character of convergence zone varies not only due to the continuously fluctuating depth of deep sound channel, which is dominated by the distribution and structure of Kuroshio Extension, but also affected by terrain, which has a strong impact to the characteristics and path of the KEF.
机译:关于海洋中不同部分的声传播已经进行了许多研究,在本文中,分析了黑潮扩展区前部的会聚区(CZ)的特征。利用聚类法和经验正交函数分解法,推导了公式,得到了分组后的SSP。之后,通过插值获得基于Argo数据的SSP现场模型。在穿过黑潮延伸区前部的声传播路径上,会聚区的特性变化不仅是由于深声通道深度的不断波动而引起的,该深度以黑潮延伸区的分布和结构为主导,而且还受地形的影响。对KEF的特征和路径产生了重大影响。

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