Global monthly climatology of deep sound channel axis, sonic layer depth, and other underwater acoustic parameters, total of 14, derived from World Ocean Atlas 2018 (NCEI Accession 0208105)
This dataset contains global monthly climatology of sonic layer depth, surface sound speed, and other underwater acoustic parameters, total of 14, derived from World Ocean Atlas 2018 profile data. Data are partitioned into 12 monthly and annual mean files. Acoustics is most effective in undersea detection, localization, and communication. However, there is no global climatology of underwater acoustic parameters. A multiple gradient method is used to analyze the sound speed profile, which is calculated from temperature and salinity profiles using the Thermodynamic Equation of Seawater-2010 (TEOS-10) to get the sonic layer depth (SLD), deep sound channel (DSC) axis depth, and second sound channel (SSC) axis depth from the gridded (0.25 degree, and 1 degree) temperature and salinity fields of the National Centers for Environmental Information (NCEI) world ocean atlas 2018. With the given (SLD, DSC axis depth, SSC axis depth), the other acoustic parameters are calculated such as sound speed at the surface, sound speed at the SLD, sound speed at the DSC axis, sound speed at the SSC axis, minimum cut-off frequency, in-layer gradient, below-layer gradient, surface duct cut-off frequency, deep sound channel strength, critical depth of the DSC, depth excess, and second sound channel strength. Data are in netcdf.
Complete Metadata
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|---|---|
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| description | This dataset contains global monthly climatology of sonic layer depth, surface sound speed, and other underwater acoustic parameters, total of 14, derived from World Ocean Atlas 2018 profile data. Data are partitioned into 12 monthly and annual mean files. Acoustics is most effective in undersea detection, localization, and communication. However, there is no global climatology of underwater acoustic parameters. A multiple gradient method is used to analyze the sound speed profile, which is calculated from temperature and salinity profiles using the Thermodynamic Equation of Seawater-2010 (TEOS-10) to get the sonic layer depth (SLD), deep sound channel (DSC) axis depth, and second sound channel (SSC) axis depth from the gridded (0.25 degree, and 1 degree) temperature and salinity fields of the National Centers for Environmental Information (NCEI) world ocean atlas 2018. With the given (SLD, DSC axis depth, SSC axis depth), the other acoustic parameters are calculated such as sound speed at the surface, sound speed at the SLD, sound speed at the DSC axis, sound speed at the SSC axis, minimum cut-off frequency, in-layer gradient, below-layer gradient, surface duct cut-off frequency, deep sound channel strength, critical depth of the DSC, depth excess, and second sound channel strength. Data are in netcdf. |
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| identifier | gov.noaa.nodc:0208105 |
| issued | 2019-12-13T00:00:00.000+00:00 |
| keyword |
[
"0208105",
"SOUND VELOCITY",
"bathythermograph - MBT",
"bathythermograph - XBT",
"buoy - moored buoy",
"CTD",
"profiling float",
"derived products",
"physical",
"US Navy/Naval Postgraduate School",
"World-Wide Distribution",
"oceanography",
"DOD/USNAVY/NPS > Naval Postgraduate School, U.S. Navy, U.S. Department of Defense",
"EARTH SCIENCE > OCEANS > OCEAN ACOUSTICS > ACOUSTIC VELOCITY",
"CTD > Conductivity, Temperature, Depth",
"MBT > Mechanical Bathythermographs",
"XBT > Expendable Bathythermographs",
"GEOGRAPHIC REGION > GLOBAL OCEAN",
"DK19XR"
]
|
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[]
|
| license | https://creativecommons.org/publicdomain/zero/1.0/ |
| modified | 2019-12-18T00:00:00.000+00:00 |
| publisher |
{
"name": "NOAA National Centers for Environmental Information",
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|
| references |
[
"https://doi.org/10.25921/j3v2-jy50"
]
|
| rights | otherRestrictions |
| spatial | 180.0,-90.0,-180.0,90.0 |
| temporal | 1950-01-01T00:00:00+00:00/2018-12-31T00:00:00+00:00 |
| title | Global monthly climatology of deep sound channel axis, sonic layer depth, and other underwater acoustic parameters, total of 14, derived from World Ocean Atlas 2018 (NCEI Accession 0208105) |
