2023_programme: Data Driven Mode Based Analyses to Predict Sound Propagation in the Ocean Near Rough Topography

Back


  • Session: 07. Modeling techniques for underwater acoustic scattering and propagation (including 3D effects)
    Organiser(s): Boris Katsnelson and Pavel S. Petrov
  • Lecture: Data Driven Mode Based Analyses to Predict Sound Propagation in the Ocean Near Rough Topography
    Paper ID: 2053
    Author(s): Coelho Emanuel, Lermusiaux Pierre, Heaney Kevin
    Presenter: Coelho Emanuel
    Abstract: Sound speed variability in the ocean occurs along multiple temporal and spatial scales, impacting not only internal propagation paths and energy attenuation but also where it interacts with variable bathymetry. Small changes in sound speed gradients can then result into large changes in propagation paths and attenuation patterns. As such, uncertainty along with unpredicted variability in the sound speed can therefore cause inaccuracies in acoustic based tactical decision tools and severely impact the accuracy of algorithms using sound propagation to estimate ocean volume states (e.g., ocean tomography or data assimilation). In this work we show we can use a Physics Informed machine Learning framework based on a non-intrusive mode-based data analysis solution. In here we build a dictionary of Principal Components from previous ocean model simulations with different settings and resolutions and climatology to derive an expedite uncertainty model along a central deterministic forecast. The system will then, through an Orthogonal Matching Pursuit, use the available ocean model-data mismatches and/or acoustic innovations (e.g., arrival numbers and times, acoustic energy distribution, etc.) for training and to define an ensemble of the best sound speed volume distributions and associated acoustic propagation outcomes. We show results using an experiment with an acoustic geometry near steep topography where we benchmark results to reconstruct 3D sound speed fields (attenuation patterns and arrivals characteristics) from ocean-acoustic measurements.
  • Corresponding author: Dr Emanuel Coelho
    Affiliation: Applied Ocean Sciences, LLC
    Country: United States
    e-mail:

Back