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, floating mine problems, and design of observing systems. To develop methods for the objectives of ODDAS DRI, which is to preserve the sampling volume of an acoustic sensor array, and replenish when gaps in the observational volume occur due to the dispersion of the sensors with the underlying Eulerian flow field.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2006
Accession Number
ADA612625

Entities

People

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

Organizations

  • University of Miami

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detectors
  • Adriatic Sea
  • Atmospheric Sciences
  • Boundaries
  • Coastal Regions
  • Data Sets
  • Detectors
  • Dispersions
  • Flow
  • Flow Fields
  • High Resolution
  • Oceans
  • Particle Trajectories
  • Particles
  • Regions
  • Trajectories
  • Turbulent Flow

Readers

  • Aerosol Science/Aerosol Physics
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Sensor Fusion and Tracking Systems.