Lagrangian Data Analysis in Mesoscale Prediction Studies
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
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LONG-TERM GOALS. To develop new methods of investigation for use of Lagrangian data in mesoscale problems, with main applications to coastal regions and semi-enclosed basins. OBJECTIVES. 1 To assess the instrumental and sampling errors on Eulerian velocity statistics derived from Lagrangian drifter data. 2 To use Lagrangian data sets and stochastic models to describe and predict the mesocale dynamics in coastal areas, with focus on transports and particle dispersion. 3 To investigate the generation mechanisms wind forcing and mean flow instability of coastal mesoscale motions and to assess the importance of topographical effects.
- Physical and Dynamic Oceanography
- Fluid Mechanics