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NASCar-OPS Sea Ex 17

Arabian Sea – February-April 2017

P.F.J. Lermusiaux, P.J. Haley, Jr.,
S. Jana, A. Gupta, C. Kulkarni,
C. Mirabito, W. Ali, D. Subramani
Massachusetts Institute of Technology
Center for Ocean Engineering
Mechanical Engineering
Cambridge, Massachusetts

Real-time modeling
Glider positions/data
Data sources
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NASCar-OPS Project Main Page

The NASCar-OPS Sea Exercise 2017 occurs in the Arabian Sea in February-April 2017. In collaboration with the DRI-NASCar team, our objectives are to utilize the MIT Multidisciplinary Simulation, Estimation, and Assimilation System (MSEAS) to: (i) forecast the regional high-resolution ocean fields and their probability, using our Error Subspace Statistical Estimation methodology; (ii) utilize these fields to forecast the reachability sets, reachability fronts, and time-optimal paths of underwater vehicles including gliders and floats; (iii) forecast the uncertainty of such reachability fields and optimal paths. We thank Dr. Andrey Shcherbina for his input, the HYCOM team for their real-time ocean fields, and the NCEP GFSp25 and NAVGEM 0p5 teams for their real-time atmospheric flux forecasts.

This research is sponsored by the Office of Naval Research.


Real-time MSEAS Ensemble Forecasting

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Real-time Seaglider Positions and Data

Seaglider is a buoyancy driven autonomous underwater vehicle (AUV) developed by scientists and engineers at the University of Washington's School of Oceanography and Applied Physics Laboratory (APL).

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Data sources

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