The Distribution of Eddy Velocities and Temperature Fluctuations in the First 100 Meters

Abstract

Practical problems dealing with atmospheric turbulence can be simplified by relating fluctuation values to a Gaussian distribution. This is very useful, since it specifies characteristics of the eddy velocity distributions. Fragmentary studies have given some evidence to support the Gaussian hypothesis, but to our knowledge this is the first attempt to examine the distributions of the fluctuation components for a large data sample (135 one-hour runs). The purpose of the study is to determine the deviations of the observed distribution from a normal distribution and to attempt to determine if these departures can be related to atmospheric stability surface roughness, and height above the surface. In addition, each sample was tested to determine the probability of its coming from a normal distribution. Results are in general agreement with previous investigations. Low frequency trends over hour periods tend to increase the departures from a normal distribution. Treating the probability distributions of the wind components as being normally distributed appears justified over moderate ranges of stability (z/L between -.300 and +.300).

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1967
Accession Number
AD0653016

Entities

People

  • James F. Appleby
  • Thomas H. Pries

Organizations

  • United States Army Communications-Electronics Command

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Atmospheric Motion
  • Boundaries
  • Boundary Layer
  • Chi Square Test
  • Distribution Functions
  • Gaussian Distributions
  • Layers
  • Normal Distribution
  • Probability
  • Probability Distributions
  • Roughness
  • Standards
  • Stratified Fluids
  • Surface Roughness
  • Turbulence
  • Wind
  • Wind Tunnels

Readers

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