Statistical Analysis of Upper Ocean Time Series of Vertical Shear.

Abstract

Shear measurements from the MILE current meter observations are statistically analyzed. Much of the shear is inertial, and probability density histograms of short-term records are bimodal. Over three inertial periods, shear distribution approaches Gaussianity. We derive a simple statistical model of shear, which predicts how mean-square shear varies with stratification and vertical separation 5z. We compare these predictions with MILE observations. We also show that 15-minute average samples of N2 and S2 are significantly correlated. Knowing the 15-minute average value of N2 allows one to predict S2 within a factor of two at least 46% of the time, and within a factor of four at least 75% of the time. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1982
Accession Number
ADA117286

Entities

People

  • David M. Rubenstein
  • Fred C. Newman

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Data Science
  • Distribution Functions
  • Frequency
  • Gaussian Distributions
  • Goodness Of Fit Tests
  • Information Processing
  • Information Science
  • Internal Waves
  • Measurement
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Statistical Analysis
  • Statistical Tests
  • Statistics
  • Temperature Gradients
  • Virginia

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Statistical inference.