Glider Data sedna-20241001T0000

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