An Original Method for Characterizing Internal Waves

Abstract

The objective of this study was the characterization of internal waves in the south of the Strait of Messina (Italy). The observational data consisted of thermistor string profiles from the Coastal Ocean Acoustic Changes at High frequencies (COACH06) sea trial. An empirical orthogonal function (EOF) analysis was applied to the data. The first two spatial empirical modes represent over 99% of the variability, and their corresponding time-dependent expansion coefficients take higher absolute values during internal wave events. To check how the expansion coefficients vary during an internal wave event, their time derivative, called changing rates, are computed. It shows that each wave of an internal wave train is characterized by a double oscillation of the changing rates. At the front of the wave, both changing rates increase in absolute value with opposite sign, and then decrease to become null at the maximum amplitude of the wave. At the rear of the wave, the changing rates describe another period, again with opposite sign. This double oscillation can be used as a detector of internal waves, but it can also give information on the width of the wave, by measuring the length of the oscillation, as this information may sometimes be hard to read straight out of the data. When plotting the changing rates one versus another, the resulting scatter diagram puts on a butterfly shape that illustrates well this behavior.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA557660

Entities

People

  • Alex Warn Varnas
  • Gaelle Casagrande
  • Thomas Folegot
  • Yann Stephan

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Amplitude
  • Coefficients
  • Data Analysis
  • Detectors
  • Experimental Data
  • Internal Waves
  • Lepidoptera
  • Military Research
  • Oceanography
  • Oceans
  • Oscillation
  • Physical Oceanography
  • Plotting
  • Solitons
  • Statistical Analysis
  • Thermistors
  • Waves

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Oceanography.
  • Regression Analysis.