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Updated: May 9, 2026

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
Published on: April 18, 2025
Three-dimensional mapping of evolving internal waves during the Shallow Water 2006 experiment
Mohsen Badiey1, Lin Wan, Aijun Song
1College of Earth, Ocean and Environment, University of Delaware, Newark, Delaware 19716, USA. badiey@udel.edu
Understanding sound speed variations from internal waves (IW) is crucial for shallow water acoustics. This study presents a method using thermistor strings and radar to map the 3D temperature field, demonstrating IW impacts on sound propagation.
Area of Science:
- Oceanography
- Acoustics
- Geophysics
Background:
- Sound speed variability in shallow water significantly impacts acoustic propagation.
- Internal waves (IW) are a major cause of this variability, creating complex 3D sound speed structures.
- Accurate characterization of IW fields is essential for acoustic modeling.
Purpose of the Study:
- To present a strategy for reconstructing a time-varying, three-dimensional (3D) internal wave (IW) temperature field.
- To demonstrate the impact of IWs on acoustic propagation in shallow water environments.
Main Methods:
- Simultaneous measurements using a farm of thermistor strings for dense subsurface temperature data.
- Ship-based radar observations to capture IW surface expressions.
- Reconstruction of the 3D IW temperature field over multiple kilometers.
- Integration of the reconstructed temperature field into a 3D acoustic model.
Main Results:
- Successfully reconstructed a detailed 3D temperature field influenced by internal waves.
- Demonstrated the significant impact of this reconstructed field on acoustic propagation patterns.
- Validated the strategy using data from the Shallow Water 2006 experiment.
Conclusions:
- The presented strategy effectively captures the spatio-temporal dynamics of internal waves.
- Accurate 3D sound speed field reconstruction is vital for understanding acoustic fluctuations in shallow waters.
- This approach enhances the fidelity of acoustic propagation modeling in dynamic ocean environments.
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