Improvement of a Nonlinear Internal Wave Tactical Decision Aid

Abstract

The long-term goal of this project is to develop a prediction methodology for the geographic location of nonlinear internal waves that can be used as the basis for a future Tactical Decision Aid. The principal objective is to identify the inputs and establish a procedure that can serve as the basis for the prediction of nonlinear internal wave occurrences. The effort makes use of the internal wave signatures recorded in satellite imagery and a parameterized model function to estimate a two-dimensional phase speed field over the geographic region of interest. The phase speeds are in turn used to calculate the internal wave propagation times, where contours of propagation time represent the internal wave locations for a particular time since generation. The parameters of the model function are found by minimizing the difference between the calculated propagation times and the observed propagation times for the waves in the geo-referenced satellite imagery. The current effort is focused on improving the model by examining fortnightly and seasonal variations as well as the effects of the barotropic tidal currents. The initial work is dedicated to the northern portion of the South China Sea between the Luzon Strait and the Chinese coast near Honk Kong, but the approach has been used in other regions, including the Sulu Sea, the Celebes Sea, and the Andaman Sea.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2009
Accession Number
ADA527911

Entities

People

  • Christopher R. Jackson

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Satellites
  • Case Studies
  • Demographic Cohorts
  • Geographic Regions
  • Information Operations
  • Internal Waves
  • Remote Sensing
  • Satellite Imaging
  • Seasonal Variations
  • Solitons
  • South China Sea
  • Tactical Decision Aids
  • Tidal Currents
  • Two Dimensional
  • Wave Propagation
  • Waves

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computer Vision.
  • Oceanography.

Technology Areas

  • Space