Wide Area Ocean Floor Mapping
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P.F.J. Lermusiaux, W.H. Ali, M.S. Bhabra Massachusetts Institute of Technology
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Project Summary Ongoing MIT-MSEAS Research Additional Links MSEAS Project-supported Publications Background Information
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| This research is sponsored by MIT Lincoln Laboratory. | ||
Project Summary
Our primary goal is to further develop, implement, apply, and validate theory and schemes for a prototype Wide Area Ocean Floor Mapping system. Our specific objectives are to: (i) Characterize and predict underwater sound propagation uncertainty/distributions due to inexact bathymetry fields and ocean environmental and seabed uncertainties, and (ii) assimilate limited acoustic and oceanographic data for the joint principled Bayesian inversion of environmental and acoustical fields, and for the corresponding rigorous estimation of bathymetry.
Background information is available below.
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Ongoing MIT-MSEAS Research
Specific Objectives:
- Derive, develop, and utilize new coupled oceanographic-acoustic-bathymetry-seabed probabilistic modeling based on optimally reduced Dynamically-Orthogonal (DO) differential equations for the stochastic characterization of two-dimensional and three-dimensional oceanographic-acoustic-bathymetry-seabed field distributions
- Advance and employ our coupled Bayesian data assimilation (GMM-DO filter and smoother) for the joint dynamic ocean physics and acoustics inversion and next-generation probabilistic wide area ocean floor mapping
- Investigate the use of our theory and schemes based on Bayesian mutual information fields to predict the placement of assets and acoustic data properties that maximize information for the estimation of bathymetry
- Develop a varied set of test cases for probabilistic oceanographic-acoustic-bathymetry-seabed modeling and the corresponding joint multivariate Bayesian field and parameter inversion
Publications
MSEAS Project-supported Publications
Awards
- Aaron and Wael Win First Place in 2022 de Florez Award Competition
- Aaron Wins First Prize for Early Career Presenter at ASA Meeting
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Additional Links
- Autonomous High-Resolution Ocean Floor Mapping (Lincoln Lab)
- Let's Talk Ocean Science Live Q&A (June 8, 2022 3:30pm EST) hosted by U.S. Navy
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Background Information
Our proposed effort will build upon our MIT-MSEAS software (MSEAS-web, 2009, Haley and Lermusiaux, 2010; Haley et al., 2015; http://mseas.mit.edu/software). The software is used for fundamental research and for realistic simulations and predictions in varied regions of the world's ocean (Leslie et al, 2008; Onken et al, 2003; Haley et al, 2009; Gangopadhyay et al, 2011; Ramp et al, 2011; Lermusiaux et al., 2011, 2017a,b). Applications include monitoring (Lermusiaux et al, 2007), ecosystem prediction and environmental management (Besiktepe et al, 2003; Cossarini et al, 2009) and, importantly for the present project, real-time oceanographic-acoustic predictions and coupled ocean-acoustic data assimilation (e.g. Lermusiaux et al., 2002; Robinson and Lermusiaux, 2004; Xu et al, 2008; Lam et al, 2009; Duda et al, 2011; Colin et al, 2013).
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