Mean Flow and Turbulence in Complex Terrain

Abstract

Atmospheric models used to describe horizontal diffusion in the surface layer depend upon a detailed characterization of the mean flow and standard deviation of wind direction fluctuations (SD theta). Meteorological data were collected from 12 tower located across the coastal complex terrain of Vandenberg AFB, CA. from August 1983 to July 1984 in order to analyze these mean and turbulence parameters as a function of stability, time averaging, wind direction, wind speed, elevation and terrain. Three stability cases were chosen from Richardson Number criteria and found representative of specific flow regimes. SD theta was a function of stability with the largest values associated with the unstable (sea breeze) case and lower values with the stable (land breeze/drainage flow) and neutral (post-frontal) cases. All three stability cases showed varying degrees of SD theta dependence on time averaging, wind direction, wind speed, elevation, and terrain with greater time averaging dependence found in the unstable case, greater wind direction and terrain dependence noted in the stable case, and greater lower level height dependence found in both the stable and unstable cases. In contrast to most findings over homogeneous terrain, SD theta dependence on wind speed was found in all three stability cases with this dependence most important in the neutral case.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1985
Accession Number
ADA155138

Entities

People

  • Michael J. Buell

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Air Force Facilities
  • Atmospheric Motion
  • Atmospheric Sciences
  • Barometric Pressure
  • Boundary Layer
  • Data Acquisition
  • Diffusion
  • Meteorology
  • Pressure Gradients
  • Richardson Number
  • Sea Breeze
  • Three Dimensional
  • Turbulence
  • Wind
  • Wind Direction

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Fluid Mechanics and Fluid Dynamics.
  • Mathematics or Statistics