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Multidisciplinary Ocean Dynamics and Engineering Laboratory: Simulation, Estimation and Assimilation Systems Massachusetts Institute of Technology, Department.

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Presentation on theme: "Multidisciplinary Ocean Dynamics and Engineering Laboratory: Simulation, Estimation and Assimilation Systems Massachusetts Institute of Technology, Department."— Presentation transcript:

1 Multidisciplinary Ocean Dynamics and Engineering Laboratory: Simulation, Estimation and Assimilation Systems Massachusetts Institute of Technology, Department of Mechanical Engineering, Center for Ocean Engineering, Room 5-428, 77 Massachusetts Avenue, Cambridge, MA 02139-4307 Contacts: Prof. Pierre Lermusiaux (pierrel@mit.edu) or Marcia Munger (mlmunger@mit.edu)pierrel@mit.edumlmunger@mit.edu Pierre F.J. Lermusiaux, Patrick J. Haley Jr., Oleg G. Logutov and Eric V. Heubel

2 Study, understand and model complex physical and interdisciplinary oceanic dynamics and processes -Regional oceans and seas -Mesoscale dynamics -Biogeochemical-physical processes and Acoustical-physical sensing Utilize and develop of new mathematical models and computational methods for -Ocean predictions and dynamical diagnostics -Optimization and control of autonomous ocean observation systems -Comparisons and combinations of models with data, via data assimilation Present General Thrust of Research Activities

3 ONR-Core, 6.1 PI 10/01/04 - 09/30/07 Physical and Interdisciplinary Regional Ocean Dynamics and Modeling Systems ONR-DRI06, 6.1, PI07/01/06-10/31/10 Interdisciplinary Modeling and Dynamics of Archipelago Straits ONR-MURI-ASAP, 6.1, co-PI 05/01/04 - 04/30/09 Adaptive Sampling and Prediction ONR-PLUS, 6.2, co-PI 01/01/05 - 09/30/07 Persistent Littoral Undersea Surveillance Network ONR-AWACS, 6.1, co-PI 09/01/04 - 09/30/09 Autonomous Wide Aperture Cluster for Surveillance DRI-QPE, ONR 6.1, PI 10/01/06-09/30/07, Planning for possible 5 years Quantifying, Predicting and Exploiting Environmental and Acoustic Fields and Uncertainties Adaptive Sampling RTP (Specific for Computer Cluster) Pending NASA-MODIS, Co-PI. 09/01/07-08/31/10 Tracing the fate of dissolved terrestrial carbon in the coastal ocean: An integrated study using MODIS satellite data, land flux models, and Lagrangian tracers (NSPIRES, NNH06ZDA001N-EOS). ORION Cyberinfrastructure Current Research Funding

4 ASAP Overview – November 6, 2006

5 ASAP Team Additional Collaboratoring PI’s: Jim Bellingham (Monterey Bay Aquarium Research Institute) Yi Chao (Jet Propulsion Lab) Sharan Majumdar (U. Miami) Mark Moline (Cal Poly) Igor Shulman (Naval Research Lab, Stennis) MURI Principal Investigators: Russ Davis (Scripps Institution of Oceanography) David Fratantoni (Woods Hole Oceanographic Institution) Pierre Lermusiaux (MIT) Jerrold Marsden (Caltech) Alan Robinson (Harvard) Henrik Schmidt (MIT) Co-Leaders, MURI Principal Investigators: Naomi Leonard (Princeton) and Steven Ramp (Naval Postgraduate School)

6 Persistent Littoral Undersea Surveillance Network (PLUSNet) Lead: Kuperman, Schmidt et al. End-to-end System components  Adaptive Environmental and Tactical Assessment and Predictions with distributed network of fixed and mobile sensors for improved DCL  Coordination via network control architecture and covert communications  System level concept demonstration in three years Modeling Research Thrusts  Multi-scale and non-hydrostatic nested ocean modeling  Coupled physical-acoustical DA in real-time  Acoustical-physical nonlinear adaptive sampling with ESSE and AREA


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