沿海声层析数据在印尼巴厘海峡的同化研究

于丰源; 许世杰; 谢心怡; 高怡心; 李光明; Arita Kaneko; Fadli Syamsudin; 黄豪彩

doi:10.12284/hyxb2024079

沿海声层析数据在印尼巴厘海峡的同化研究

doi: 10.12284/hyxb2024079

1.
浙江大学海洋学院，浙江舟山 316021
2.
国防科技创新研究院，北京 100071
3.
日本广岛大学工程研究生院，广岛 739–8527
4.
印度尼西亚技术评估与应用局，雅加达 10340

基金项目: 国家自然科学基金（52071293）和国家自然科学基金（41576031）。

详细信息

作者简介:
于丰源（1998—），男，山东省威海市人，研究方向为沿海声层析及数据同化。E-mail：fengyuan03@zju.edu.cn

通讯作者:
黄豪彩（1979—），男，福建省龙岩市人，教授，主要从事海洋技术方向研究。E-mail：hchuang@zju.edu.cn

中图分类号: P714⁺.3
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- 被引次数: 0
出版历程
- 收稿日期: 2024-03-01
- 修回日期: 2024-06-17
- 网络出版日期: 2024-08-12
- 刊出日期: 2024-09-26

Assimilation research of coastal acoustic tomography data in the Bali Strait, Indonesia

1.
Ocean College, Zhejiang University, Zhoushan 316021, China
2.
National Innovation Institute of Defense Technology, Beijing 100071, China
3.
Graduate School of Engineering, Hiroshima University, Hiroshima 739–8527, Japan
4.
Agency for the Assessment and Application of Technology, Jakarta 10340, Indonesia

摘要

摘要: 沿海声层析（Coastal Acoustic Tomography,简称CAT）是利用高频声信号实现近海大范围流场观测的有效手段，但其直接观测范围仍然有限。海洋数值模式提供了一种存在仿真误差的大范围海洋背景场，将CAT观测结果与海洋背景结果同化，可以提高流场结果的分辨率和准确度。本文提出一种利用流函数拟合海洋模式流场结果并使用集合卡尔曼滤波算法同化CAT数据的方法，获得更大范围的海洋水平二维流场结果。同化研究以非结构化网格有限体积海洋数值模式（Finite-Volume Community Ocean Model，简称FVCOM）作为背景场，以2016年6月1日至3日在印度尼西亚巴厘海峡（Bali Strait）进行的4站CAT实验作为观测数据。经过背景场流函数拟合和CAT数据同化，获得巴厘海峡二维流场。同化结果分别与同期观测结果和潮位数据对比，发现流函数拟合同化后的流场能更准确地描述巴厘海峡涨落潮和流量情况，通过引入CAT数据与流场的函数关系，可以有效地降低海洋模式的误差和原观测数据的稀疏性。
- 沿海声层析 /
- 数据同化 /
- 集合卡尔曼滤波 /
- 流函数有限体积海洋模式
Abstract: Coastal Acoustic Tomography (CAT) is an effective tool to observe the flow field in the large offshore range using high-frequency acoustic signals, of which direct observation range is still limited. The numerical ocean model provides a large-scale ocean background field with simulation errors, and the resolution and accuracy of the flow field results can be improved by assimilating the CAT data with the ocean background results. In this paper, we applied a method to obtain a larger range of two-dimensional ocean flow field results by fitting ocean-mode flow field results using Stream Function and assimilating CAT data using the Ensemble Kalman Filtering algorithm. The assimilation study used the unstructured grid Finite-Volume Community Ocean Model (FVCOM) as the background field, and the four CAT stations experiment conducted in Bali Strait, Indonesia, from 1st to 3rd June 2016 as the observational data. After fitting background field by Stream Function and assimilating CAT data, the two-dimensional flow field in Bali Strait is obtained. The assimilation results were compared with those of the same period of observation and tide level data, which is found that the flow function fitted and assimilated flow field can more accurately describe the high and low tides and flow conditions in the Bali Strait. By introducing the functional relationship between the CAT data and the flow field it can effectively reduce the error of the ocean model and the sparsity of the original observation data.
- Coastal Acoustic Tomography /
- Data assimilation /
- Ensemble Kalman Filter /
- Stream Function Finite-Volume Community Ocean Model

HTML全文

图 1 同化算法流程

Fig. 1 Assimilation algorithm process

下载: 全尺寸图片幻灯片

图 2 CAT站位布置示意图

图b黑色点表示CAT站位布放位置，4条黑色虚线表示有效站位连线

Fig. 2 Schematic diagram of CAT station layout

Figure b. Black dots represent the placement positions of CAT stations, and four black dashed lines represent the effective station connection lines

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图 3 2016年6月2日8时至12时声信号传输时延

红色和蓝色曲线分别表示由西向东和由东向西传输的声信号，红色和蓝色圆点分别表示两条声信号信噪比峰值点

Fig. 3 Sound signal transmission delay from 8:00 to 12:00 on June 2, 2016

The red and blue curves represent the sound signals transmitted from west to east and from east to west, respectively. The red and blue dots represent the peak points of the signal-to-noise ratio of two sound signals, respectively

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图 4 2016年6月2日9时、10时和11时时刻声信号传输时延

Fig. 4 Sound signal transmission delay at 9:00, 10:00 and 11:00 on June 2, 2016

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图 5 FVCOM海洋模式网格分布

下图为窄水道区域网格分布局部放大

Fig. 5 FVCOM ocean model grid distribution

Below is the locally enlarged map of the grid distributionin the narrow waterway area

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图 6 FVCOM模式流场与流函数拟合流场对比

Fig. 6 Comparison between FVCOM mode flow field and flow function fitting flow field

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图 7 2016年6月2日流场分布

a. 9时流场，b. 10时流场，c. 11时流场

Fig. 7 Distribution of flow field on June 2, 2016

a. 9:00 flow field, b. 10:00 flow field, c. 11:00 flow field

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表 1 换能器所在深度和站位组间距

Tab. 1 The depth of transducers and the distance between the stations

站位

N1 N2 N3 N4

深度/m 4 10 14 27

站位组 N1−N3 N1−N4 N2−N3 N2−N4

站位组间距/m 4 031 4 457 4 944 6 199

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表 2 拟合均方根误差

Tab. 2 Root mean square error after fitting at each time

时间 RMSE(u) EMSE(v)

6月2日9时 0.0577 m/s 0.0727 m/s

6月2日10时 0.0376 m/s 0.0504 m/s

6月2日11时 0.0340 m/s 0.0447 m/s

下载: 导出CSV

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