Statistical Modeling of Shear in the Upper Ocean.

Abstract

Analysis of upper ocean shear profiles obtained with a free-fall sampling instrument (YVETTE) indicated that, within specific depth regimes and for specified vertical differencing intervals, values of shear-squared might be distributed according to a chi squared probability distribution. An analysis based on several assumptions about the shear field produced a model which showed that a chi squared distribution was physically reasonable. Statistical tests on the profiles led to acceptance of the hypothesis that S squared follows a chi squared distribution with a variance derived from the mean-squared shear in the regime. Further statistical tests showed that the necessary assumptions about the horizontal shear components were statistically reasonable as well as physically reasonable. A trial prediction using a simple linear relationship between mean Brunt-Vaisala frequency in a regime and mean shear-squared, based on a 2m separation, in the regime showed the chi squared model to be a potentially useful tool for area characterizations.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1981
Accession Number
ADA108212

Entities

People

  • Gerald T. Hebenstreit
  • Walter J. Grabowski

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Data Science
  • Data Sets
  • Goodness Of Fit Tests
  • Information Processing
  • Information Science
  • Military Research
  • Normal Distribution
  • Oceans
  • Physics
  • Physics Laboratories
  • Probability
  • Probability Distributions
  • Random Variables
  • Sargasso Sea
  • Statistical Analysis
  • Statistical Tests
  • Stratified Fluids

Readers

  • Approximation Theory.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Modeling and Simulation