Atmospheric sound transmission loss at the coast: Modeling turbulence

This work presents progress in an ongoing effort to effectively represent turbulence in a numerical model of atmospheric sound propagation in a near-shore environment. Excess attenuation is predicted with a parabolic equation solver that incorporates turbulence as well as the combined effects of wind and temperature profiles on the sound speed profile. Literature-based turbulence parameters are used to inform model inputs. These previously reported turbulence metrics are compared with turbulence parameters derived from scanning Doppler LIDAR wind profiling measurements. A set of acoustic transmission loss measurements made with concurrent wind, temperature, and water surface roughness measurements provide ground truth for model output comparison. [Work supported by Office of Naval Research Award Nos. N00014-22-1-2492 and N00014-24-1-2437.]

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Publication Details

Journal
The Journal of the Acoustical Society of America
Published
2025-04-01
DOI
https://doi.org/10.1121/10.0037860
Primary Topic
Underwater Acoustics Research
Type
article
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article

Atmospheric sound transmission loss at the coast: Modeling turbulence

Matthew Stengrim, Joseph F. Vignola, Diego Turo, Teresa J. Ryan et al.
The Journal of the Acoustical Society of America
Underwater Acoustics Research
article

Atmospheric sound transmission loss at the coast: Modeling turbulence

Matthew Stengrim, Joseph F. Vignola, Diego Turo, Teresa J. Ryan, John A. Judge, Sophie Arruza
article en

Abstract

This work presents progress in an ongoing effort to effectively represent turbulence in a numerical model of atmospheric sound propagation in a near-shore environment. Excess attenuation is predicted with a parabolic equation solver that incorporates turbulence as well as the combined effects of wind and temperature profiles on the sound speed profile. Literature-based turbulence parameters are used to inform model inputs. These previously reported turbulence metrics are compared with turbulence parameters derived from scanning Doppler LIDAR wind profiling measurements. A set of acoustic transmission loss measurements made with concurrent wind, temperature, and water surface roughness measurements provide ground truth for model output comparison. [Work supported by Office of Naval Research Award Nos. N00014-22-1-2492 and N00014-24-1-2437.]

The Journal of the Acoustical Society of AmericaVol. 157(4_Supplement)
University of America (US), East Carolina University (US), Catholic University of America (US)
Openalex Percentile: Top 80%
Underwater Acoustics Research
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