Glider Data 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

Data and Resources

Additional Info

Field Value
Source https://gliders.ioos.us/erddap/files/sedna-20230828T0000/
Start Time (Profile Time, UTC) 2023-08-28T15:41:20Z
End Time (Profile Time, UTC) 2023-10-09T11:37:10Z
Deployment Date 2023-08-28
Maintainer Sidorovskaia N, Mathews N, Currier R
Data Profile Created May 28, 2025, 16:34 (UTC)
Data Profile Last Updated May 28, 2025, 16:47 (UTC)
# Profiles 419
Data Provider gcoos_dmac
Days Deployed 42
Mode Real-Time
Registered 2023-09-05
Status Completed
WMO ID 4803973
Latitude Maximum 28.98
Latitude Minimum 28.48
Longitude Maximum -88.09
Longitude Minimum -88.63