Accession Number:

ADA636468

Title:

Predictability of Particle Trajectories in the Ocean

Descriptive Note:

Corporate Author:

ROSENSTIEL SCHOOL OF MARINE AND ATMOSPHERIC SCIENCE MIAMI FL DIV OF METEOROLOGY AND PHYSICAL OCEANOGRAPHY

Report Date:

1999-09-30

Pagination or Media Count:

6.0

Abstract:

LONG TERM GOALS. The long term goal of this grant is to determine optimal employment and Lagrangian data assimilation strategies for drifting buoys, in order to enhance prediction of particle motion in the ocean with potential applications to ecological, search and rescue, and the floating mine problems. OBJECTIVES. The specific scientific objective of the work done has been to determine the effectiveness of using insitu Lagrangian measurements and data assimilation techniques in improving the prediction of particle trajectories. This has been done initially in the context of an ocean model MICOM and then using real oceanic drifter data representing both small scale the Adriatic Sea and large scale tropical Pacific Ocean motion. APPROACH. The work is based primarily on simple probabilistic particle models and data assimilation strategies. It also involves the use of OGCMs and processing of oceanic data.

Subject Categories:

  • Statistics and Probability
  • Marine Engineering

Distribution Statement:

APPROVED FOR PUBLIC RELEASE