面向特征的声波层析成像:巴西Cabo Frio的上升流

O. Carrière, J. Hermand, L. Calado, A.C. de Paula, I. D. da Silveira
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引用次数: 8

摘要

卡波弗里奥地区(巴西)呈现出独特的海岸-海洋系统。在该地区发生的几个有趣的海洋现象中,沿海上升流是最重要的沿海特征,主要由持续的东北风驱动。采用一个专门描述卡波弗里奥上升流过程的海洋特征模型作为参数化方案,跟踪了沿海水域垂直剖面声速场的时间演化。跟踪器在垂直接收器阵列上处理宽带、多频率(220-880 Hz)、全场声场的重复测量。将声波数据吸收到特征模型中,对温度场上升流斜率的预测进行持续修正。为了处理环境参数与声传播数据之间的非线性关系,需要对卡尔曼滤波器进行高级非线性扩展。结果表明,集成卡尔曼滤波器(EnKF)连续跟踪上升流条件,优于扩展卡尔曼滤波器(EKF)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feature-oriented acoustic tomography: Upwelling at Cabo Frio (Brazil)
The Cabo Frio region (Brazil) presents a unique coastal-oceanic system. Among several interesting oceanic phenomena that occur in this region, the coastal upwelling is the most important coastal feature and is mainly forced by persistent winds northeast. An oceanic feature model which specifically describes the Cabo Frio upwelling process is used as a parameterization scheme to track the time evolution of the sound-speed field of a vertical slice of the coastal waters. The tracker processes the repeated measurements of broad-band, multi-frequency (220-880 Hz), full-field acoustic field on a vertical receiver array. The acoustic data are assimilated in the feature model to continuously correct the prediction of the upwelling slope of the temperature field. To cope with the nonlinearity between the environmental parameters and the acoustic propagation data, advanced nonlinear extensions of Kalman filters are necessary. It is shown that an ensemble Kalman filter (EnKF) continuously tracks the upwelling conditions, outperforming the extended Kalman filter (EKF).
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