Using the Model for Ambient Sound Levels Underwater from Wind (MUSLAW) to Estimate Wind Speeds

A model that generates a time series of underwater sound from the wind has recently been proposed. The model incorporates water and receiver depths, sound speed profile, bottom sediment type, and the wind speed. Here the modelled sound levels are compared with measured sound levels collected over two years at six locations as part of the Atlantic Deepwater Ecosystem Observatory Network (ADEON) project in the U.S. Mid- and South Atlantic Outer Continental Shelf. The estimated wind speed closely (aligned with)the wind speed from the ERA5 global reanalysis dataset (resolution of ERA5) with an average standard deviation of 1.35. From this comparison, it is concluded that the model provides an accurate representation of the underwater sound from wind. The model may be used to estimate wind speed, when given sediment type and when the acoustic data are well calibrated, have few artefacts in the frequency range of 1– 15 kHz, and there are a few other sound sources present besides wind.

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Publication Details

Published
2024-09-23
DOI
https://doi.org/10.1109/oceans55160.2024.10754428
Citations
1
Primary Topic
Underwater Acoustics Research
Type
article
Field-Weighted Citation Impact
0.48

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article

Using the Model for Ambient Sound Levels Underwater from Wind (MUSLAW) to Estimate Wind Speeds

Mojgan Mirzaei Hotkani, Martin Siderius, Bruce Martin
1 citations
Underwater Acoustics Research
0.48
article

Using the Model for Ambient Sound Levels Underwater from Wind (MUSLAW) to Estimate Wind Speeds

Mojgan Mirzaei Hotkani, Martin Siderius, Bruce Martin
article en
1 citations

Abstract

A model that generates a time series of underwater sound from the wind has recently been proposed. The model incorporates water and receiver depths, sound speed profile, bottom sediment type, and the wind speed. Here the modelled sound levels are compared with measured sound levels collected over two years at six locations as part of the Atlantic Deepwater Ecosystem Observatory Network (ADEON) project in the U.S. Mid- and South Atlantic Outer Continental Shelf. The estimated wind speed closely (aligned with)the wind speed from the ERA5 global reanalysis dataset (resolution of ERA5) with an average standard deviation of 1.35. From this comparison, it is concluded that the model provides an accurate representation of the underwater sound from wind. The model may be used to estimate wind speed, when given sediment type and when the acoustic data are well calibrated, have few artefacts in the frequency range of 1– 15 kHz, and there are a few other sound sources present besides wind.

Portland State University (US)
Office of Naval Research
Affordable and clean energy
Openalex Percentile: Top 32%
Underwater Acoustics Research
0.48
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Using the Model for Ambient Sound Levels Underwater from Wind (MUSLAW) to Estimate Wind Speeds — Mojgan Mirzaei Hotkani, Martin Siderius, et al. · (2024) | TGRS Research Map | TGRS