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Compression and Assimilation for Resource-Limited Operations

The primary goal of this project is to enable effective use of ocean forecast data on forward operating platforms with limited communications and computing resources. The aim is to mature and assess promising approaches to this problem for subsequent investment leading to transition of the developed capabilities to operations. Our MIT-MSEAS research will consist of four research thrusts involving reduced order modeling (ROM): i) decomposition of deterministic and probabilistic forecasts for efficient compression, reduction and reconstruction; ii) machine learning for reduced-order modeling and forecasting; iii) adaptive and data-assimilative reduced-order modeling and forecasting; and iv) multi-resolution and multi-dynamics ROMs.