sedna-20230828T0000
The proposed study will use broadband deep-water ambient sound field information collected by stationary and mobile (Slocum glider reconnaissance flights) passive acoustic monitoring platforms during a major hurricane passage to reconstruct the storm wind speed distributions and to quantify changes in oceanographic and acoustic environments during storms. Based on the newly collected data and Bayesian inversion technique, a range dependent surface source model relevant to hurricane conditions and the frequency-dependent sound attenuation model due to bubble clouds in the high-wind environment will be developed. In the future, underwater reconnaissance could provide a safe and cost-efficient addition or alternative to the expensive and risky NOAA reconnaissance flights into the hurricane eye
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| contactPoint |
{
"fn": "University of Louisiana at Lafayette",
"@type": "vcard:Contact",
"hasEmail": "mailto:bob.currier@gcoos.org"
}
|
| describedByType | application/octet-steam |
| description | The proposed study will use broadband deep-water ambient sound field information collected by stationary and mobile (Slocum glider reconnaissance flights) passive acoustic monitoring platforms during a major hurricane passage to reconstruct the storm wind speed distributions and to quantify changes in oceanographic and acoustic environments during storms. Based on the newly collected data and Bayesian inversion technique, a range dependent surface source model relevant to hurricane conditions and the frequency-dependent sound attenuation model due to bubble clouds in the high-wind environment will be developed. In the future, underwater reconnaissance could provide a safe and cost-efficient addition or alternative to the expensive and risky NOAA reconnaissance flights into the hurricane eye |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Data Subset Form",
"accessURL": "https://gliders.ioos.us/erddap/tabledap/sedna-20230828T0000.html",
"description": "ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.",
"describedByType": "application/octet-steam"
},
{
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"description": "ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.",
"downloadURL": "https://gliders.ioos.us/erddap/tabledap/sedna-20230828T0000.graph",
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|
| identifier | sedna-20230828T0000 |
| isPartOf | Glider's Deepwater Hurricane Reconnaissance in the Gulf of Mexico |
| issued | 2023-10-09T00:00:00.000+00:00 |
| keyword |
[
"glider",
"Slocum",
"Spray",
"trajectory",
"underwater glider",
"water",
"wmo",
"In Situ Ocean-based platforms > Seaglider",
"Earth Science > Oceans > Salinity/Density > Salinity",
"Earth Science > Oceans > Salinity/Density > Density",
"Earth Science > Oceans > Salinity/Density > Conductivity",
"Earth Science > Oceans > Ocean Temperature > Water Temperature",
"Earth Science > Oceans > Ocean Pressure > Water Pressure",
"AUVS > Autonomous Underwater Vehicles",
"Glider's Deepwater Hurricane Reconnaissance in the Gulf of Mexico",
"time",
"latitude",
"longitude",
"depth",
"sea_water_electrical_conductivity",
"sea_water_density",
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"rate_of_change_test_quality_flag",
"spike_test_quality_flag",
"sea_water_practical_salinity",
"sea_water_temperature"
]
|
| landingPage | https://gliders.ioos.us/erddap/ |
| language |
[]
|
| license | https://creativecommons.org/publicdomain/zero/1.0/ |
| modified | 2023-10-09T00:00:00.000+00:00 |
| publisher |
{
"name": "Axiom Docker Install",
"@type": "org:Organization"
}
|
| spatial | -88.08935,28.478214,-88.62523,28.981586 |
| temporal | 2023-08-28T15:41:20+00:00/2023-10-09T11:37:10+00:00 |
| title | sedna-20230828T0000 |
