Nonlinear Estimation and Control of Particle Trajectories in the Ocean
ROSENSTIEL SCHOOL OF MARINE AND ATMOSPHERIC SCIENCE MIAMI FL DIV OF METEOROLOGY AND PHYSICAL OCEANOGRAPHY
Pagination or Media Count:
Our long-range goal is to develop optimization methods 1 to estimate the physical state of the ocean in order to understand the present and future conditions and associated variabilityuncertainty, and 2 to utilize such forecast information for control-decisions such as optimal drifter deployment strategy. This is being accomplished through the use of data assimilation methods for ocean circulation models and the study of extending the assimilation formulation to an optimal control problem.
- Numerical Mathematics
- Statistics and Probability
- Particle Accelerators