Reconstruction performance analysis for Basis Function of the sound speed profile

Li Qianqian; Zhu Jinlong; Luo Yu; Peng Dongdong

doi:10.12284/hyxb2023156

Volume 45 Issue 11

Nov. 2023

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Li Qianqian，Zhu Jinlong，Luo Yu, et al. Reconstruction performance analysis for Basis Function of the sound speed profile[J]. Haiyang Xuebao，2023, 45(11)：34–44 doi: 10.12284/hyxb2023156

Citation:

Li Qianqian，Zhu Jinlong，Luo Yu, et al. Reconstruction performance analysis for Basis Function of the sound speed profile[J]. Haiyang Xuebao，2023, 45(11)：34–44 doi: 10.12284/hyxb2023156

Citation:

Li Qianqian，Zhu Jinlong，Luo Yu, et al. Reconstruction performance analysis for Basis Function of the sound speed profile[J]. Haiyang Xuebao，2023, 45(11)：34–44 doi: 10.12284/hyxb2023156

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Reconstruction performance analysis for Basis Function of the sound speed profile

doi: 10.12284/hyxb2023156

Li Qianqian^{1, 2
,},
Zhu Jinlong¹,
Luo Yu^{1
,
,},
Peng Dongdong¹

1.
College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
2.
College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China

Received Date: 2023-03-18
Rev Recd Date: 2023-08-03

Available Online: 2023-10-31

Publish Date: 2023-11-30

Abstract

Abstract

Empirical Orthogonal Functions (EOFs) are usually used for sparse representation of the sound speed profile (SSP). However, due to the restriction of data completeness and measurement time, the representative error of the EOF will lead to limited accuracy of SSP reconstruction. In order to improve the reconstruction accuracy of SSP, the fuzzy C-means clustering algorithm is used to analyze the BOA_Argo historical data set and the reconstruction accuracy of the measured SSP based on different clustering spaces of data samples is discussed. The results shows that the SSPs are significant temporal-spatial clustering. The EOF and mean SSP generated by the clustered historical SSPs have the best reconstruction performance. The results of this paper are helpful to provide practical guidance for the selection of historical SSP training data and can improve the accuracy of SSP reconstruction.
- sound speed profile,
- fuzzy C-means clustering,
- Empirical Orthogonal Function

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References(20)

References

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