Predictability of Particle Trajectories in the Ocean

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2000
Accession Number
ADA609844

Entities

People

  • Annalisa Griffa
  • Arthur J. Mariano
  • Tamay M. Oezgoekmen

Organizations

  • Rosenstiel School of Marine, Atmospheric, and Earth Science

Tags

DTIC Thesaurus Topics

  • Adriatic Sea
  • Assimilation
  • Atmospheric Sciences
  • Data Analysis
  • Dynamics
  • Flow
  • Flow Fields
  • High Resolution
  • Markov Models
  • Mediterranean Sea
  • Models
  • Oceans
  • Pacific Ocean
  • Particle Trajectories
  • Particles
  • Probabilistic Models
  • Trajectories

Fields of Study

  • Environmental science

Readers

  • Aerosol Science/Aerosol Physics
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Operations Research