Coastal And Ocean Data Assimilation
ROSENSTIEL SCHOOL OF MARINE AND ATMOSPHERIC SCIENCE MIAMI FL DIV OF METEOROLOGY AND PHYSICAL OCEANOGRAPHY
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The long range scientific goal of this proposal is to produce optimal estimates of both the Lagrangian and Eulerian state space of the ocean, its marginal seas, and coastal zones in order to document, understand, and predict average conditions and variability. This is being accomplished through the use of data assimilation methods for ocean circulation models and Bayesian-based filtering techniques for Lagrangian prediction.
- Physical and Dynamic Oceanography
- Numerical Mathematics