Quantifying the influence of sub-mesoscale ocean dynamics on acoustic propagation: Implications for numerical predictions and model updating via in-situ passive acoustic sensing
Abstract
Accurate numerical simulations of underwater acoustic propagation in a dynamic ocean - and its associated uncertainty -for SONAR system performance prediction require using realistic environmental parameters as inputs and especially a high-fidelity representationof the expected spatio-temporal variability of the ocean sound speed in the volume of interest. This requires selecting the adequate resolution for ocean circulation models to most accurately resolve the expected (sub)mesoscale ocean variability. To this end, wepropose a 3 years research effort to quantify the influence of (sub)mesoscale ocean dynamics on acoustic propagation using high-resolution oceanographic models in order to best parametrize SONAR performance predictions (notably its associated uncertainty) basedon either existing conventional oceanographic models or future high-resolution oceanographic modelling capabilities. We will also investigate experimental methods enabling in-situ updating of those numerical predictions using through-the-sensor passive acoustic sensing. Approved for Public Release.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 08, 2024
- Source ID
- N000142412439
Entities
People
- Karim G. Sabra
Organizations
- Georgia Tech Research Corporation
- Office of Naval Research
- United States Navy