Study of Nonlinear Mesoscale Processes: Applications to Lagrangian Data Analysis and Subgrid Scale Parameterization
ROSENSTIEL SCHOOL OF MARINE AND ATMOSPHERIC SCIENCE MIAMI FL DIV OF METEOROLOGY AND PHYSICAL OCEANOGRAPHY
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LONG TERM GOALS. The long term goals of this proposal are to advance the understanding of nonlinear processes in ocean dynamics and the development of new methods of investigation. Special attention is given to understanding and predicting Lagrangian motions and implementing subgrid scale parameterizations. OBJECTIVES. The specific scientific objectives of the work done can be summarized as follows 1. Study of the evolution of particle clusters and tracer concentrations in semi-enclosed basins, focusing on the dependence of dispersion processes on the coastal boundaries, on the flux exchanges with other basins and on the structure of the internal circulation. 2. Validation and application of a new method for Lagrangian data analysis developed in the previous grant year Bauer et al, 1997. The method allows for the estimation of mean flow and transport parameters in the presence of inhomogeneous and nonstationary velocity fields, and it is well suited for coastal applications as well as for open ocean regions with high shear. 3. Development of optimized methods of the assimilation of Lagrangian data for the prediction of particle motions in the ocean and for the estimation of mean flows.
- Physical and Dynamic Oceanography
- Numerical Mathematics