Predictability of Particle Trajectories in the Ocean

Abstract

The long term goal of this project is to determine optimal sampling strategies for drifting observing systems, such as buoys and gliders, 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 real-time observing systems. Our main objective is to develop Lagrangian techniques to improve our fundamental understanding of turbulent transport phenomena in the ocean. The objectives of the project serve the ONR thrust area of adaptive sampling and Lagrangian tracing. Another aspect of the research focuses on a better understanding of the nature of mesoscale and submesoscale turbulent processes, which is relevant to ONR thrust area on submesoscale variability associated with fronts, turbulence and mixing.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2011
Accession Number
ADA556935

Entities

People

  • Annalisa Griffa
  • Tamay M. Özgökmen

Organizations

  • Rosenstiel School of Marine, Atmospheric, and Earth Science

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Atmospheric Sciences
  • Data Sets
  • Dispersions
  • Flow
  • Gulf Stream
  • Ocean Currents
  • Oceanography
  • Oceans
  • Particle Trajectories
  • Particles
  • Physical Oceanography
  • Random Walk
  • Regions
  • Search And Rescue
  • Simulations
  • Statistics
  • Trajectories

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Systems Analysis and Design

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control