Data-Driven Analysis of Ocean Fronts’ Impact on Acoustic Propagation: Process Understanding and Machine Learning Applications, Focusing on the Kuroshio Extension Front

Data-Driven Analysis of Ocean Fronts’ Impact on Acoustic Propagation: Process Understanding and Machine Learning Applications, Focusing on the Kuroshio Extension Front

Ocean fronts, widespread across the global ocean, cause abrupt shifts in physical properties such as temperature, salinity, and sound speed, significantly affecting underwater acoustic communication and detection. While past research has concentrated on qualitative analysis and small-scale research...

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Bibliographic Details
Main Authors: Weishuai Xu, Lei Zhang, Ming Li, Xiaodong Ma, Maolin Li
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Journal of Marine Science and Engineering
Subjects:
Kuroshio Extension Front
vertical sound speed structure
acoustic propagation
marine big data
machine learning
Shapley value
Online Access:https://www.mdpi.com/2077-1312/12/11/2010
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