Lagrangian Data Analysis in Mesoscale Prediction Studies
Abstract
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 1999
- Accession Number
- ADA636799
Entities
People
- Pierre-Marie Poulain
Organizations
- Naval Postgraduate School