Global climatological dataset of undersea acoustic parameters derived from the NCEI World Ocean Atlas 2023

Acoustics is most effective in undersea detection, localization, and communication. Establishment of a global climatological dataset of undersea acoustic parameters becomes urgent. In building such a dataset, first we use the Thermodynamic Equation of Seawater-2010 (TEOS-10) to calculate the sound speed (SS) from the gridded temperature and salinity fields of the NOAA/NCEI World Ocean Atlas 2023. Second, we determine the depth of overall minimum from SS profile as the deep sound channel (DSC) axis depth, the depth of overall maximum between the surface and DSC axis as the sonic layer depth (SLD), the depth of the local minimum between SLD and DSC axis as the second sound channel (SSC) depth, and the depth with the SS equalling the maximum SS as the critical depth. Third, we obtain the SS at the surface, SLD, DSC axis, and SSC axis. Fourth, we determine the other acoustic parameters such as In-layer gradient, below layer gradient, DSC strength, SSC strength, depth excess, and surface duct cut-off frequency. The dataset is publicly available.

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Publication Details

Journal
Scientific Data
Published
2024-11-28
DOI
https://doi.org/10.1038/s41597-024-04074-6
Citations
1
Primary Topic
Underwater Acoustics Research
Type
article
Field-Weighted Citation Impact
0.48

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article

Global climatological dataset of undersea acoustic parameters derived from the NCEI World Ocean Atlas 2023

Chenwu Fan, Peter C. Chu
1 citations
Scientific Data
Underwater Acoustics Research
0.48
article

Global climatological dataset of undersea acoustic parameters derived from the NCEI World Ocean Atlas 2023

Chenwu Fan, Peter C. Chu
article en
1 citations

Abstract

Acoustics is most effective in undersea detection, localization, and communication. Establishment of a global climatological dataset of undersea acoustic parameters becomes urgent. In building such a dataset, first we use the Thermodynamic Equation of Seawater-2010 (TEOS-10) to calculate the sound speed (SS) from the gridded temperature and salinity fields of the NOAA/NCEI World Ocean Atlas 2023. Second, we determine the depth of overall minimum from SS profile as the deep sound channel (DSC) axis depth, the depth of overall maximum between the surface and DSC axis as the sonic layer depth (SLD), the depth of the local minimum between SLD and DSC axis as the second sound channel (SSC) depth, and the depth with the SS equalling the maximum SS as the critical depth. Third, we obtain the SS at the surface, SLD, DSC axis, and SSC axis. Fourth, we determine the other acoustic parameters such as In-layer gradient, below layer gradient, DSC strength, SSC strength, depth excess, and surface duct cut-off frequency. The dataset is publicly available.

Scientific DataVol. 11(1)
Naval Postgraduate School (US)
Strategic Environmental Research and Development Program
Life below water
Openalex Percentile: Top 32%
Underwater Acoustics Research
0.48
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