Predictability of Particle Trajectories in the Ocean
ROSENSTIEL SCHOOL OF MARINE AND ATMOSPHERIC SCIENCE MIAMI FL DIV OF METEOROLOGY AND PHYSICAL OCEANOGRAPHY
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The long term goal of this project is to determine optimal sampling strategies for drifting buoys, in order to enhance prediction of particle motion in the ocean, with potential applications to ecological, search and rescue, the floating mine problems, and design of observing systems. The specific scientific objective of the work done has been to determine the effectiveness of using in situ Lagrangian measurements and data assimilation techniques in improving the prediction of particle trajectories. The work is based primarily on simple probabilistic models of particle motion and data assimilation strategies. It also involves the use of OGCMs and processing of oceanic data.
- Physical and Dynamic Oceanography
- Statistics and Probability