A Fractal Analysis of Near-Field Atmospheric Concentration Data

Abstract

A previous study showed that regional and large scale atmospheric motions have Hurst exponents on the order of .4 to .5. The Hurst exponent, H, equals 2-D, where D is the fractal dimension, for a time series. These numbers characterize the degree of irregularity of the time-series. Hurst exponents were calculated for a large number of concentration-time series from several sources, whose sampling times ranged from 6 seconds to 1 hour. Hurst exponents for these data ranged from about .2 to .4. Such values indicate that the small-scale, near-field turbulent eddies differ qualitively from the larger-scale motions, for which H approaches the value .5, the value for Brownian motion. Since models in effect assume the value H = .5 in turbulence parameterizations, these, results suggest that smaller, realistic H-values, appropriate to planetary boundary layer turbulence, should be used to parameterize turbulence.

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Document Details

Document Type
Technical Report
Publication Date
Nov 25, 1993
Accession Number
ADA275460

Entities

People

  • Franklin A. Gifford

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Atmospheric Motion
  • Atmospheric Sciences
  • Boundary Layer
  • Boundary Layer Control
  • Brownian Motion
  • Diffusion
  • Geometry
  • Layers
  • Near Field
  • Three Dimensional
  • Turbulence
  • Turbulent Diffusion
  • Two Dimensional
  • Wind Tunnels

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Mathematics or Statistics
  • Wave Propagation and Nonlinear Chaotic Dynamics.