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NASCar-OPS Sea Ex 17

Arabian Sea – February-March 2017

P.F.J. Lermusiaux, P.J. Haley, Jr.,
S. Jana, C. Kulkarni, D. Subramani,
C. Mirabito, W. Ali
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-March 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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