Mapping sea surface observations to spectra of underwater ambient noise through self-organizing map method

Ying Zhang; Kunde Yang; Qiulong Yang; Cheng Chen

doi:10.1121/1.5120542

Mapping sea surface observations to spectra of underwater ambient noise through self-organizing map method

J Acoust Soc Am. 2019 Aug;146(2):EL111. doi: 10.1121/1.5120542.

Authors

Ying Zhang¹, Kunde Yang¹, Qiulong Yang¹, Cheng Chen²

Affiliations

¹ School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, 710072, China.
² School of Information Science and Engineering, Harbin Institute of Technology, Weihai, 264209, Chinazying@mail.nwpu.edu.cn, ykdzym@nwpu.edu.cn, yangqiulong@nwpu.edu.cn, chen.cheng@hit.edu.cn.

PMID: 31472552
DOI: 10.1121/1.5120542

Abstract

This letter presents a model for mapping sea surface observations to the spectra of underwater ambient noise through the self-organizing map method (SOM). The data used to train and test the proposed model include observations of wind speed, atmospheric pressure, and significant wave height from public databases, as well as observations of ambient noise from two deep-water experiments. SOM extracts nonlinear relations from the data and is more suitable for the study of nonlinear dynamics in the ocean than conventional methods. Results indicate the proposed model is reliable with coefficients of determination above 0.9 and root-mean-square errors below 1 dB.