Modeling Turbulence Generation in the Atmospheric Surface and Boundary Layers

Abstract

Optical turbulence effects in the earth's atmosphere are greatest on systems operating in the surface-layer atmosphere. To estimate the performance of systems operating in such environments, direct measurement of current local conditions is always possible, but a common approach used for planning purposes involves estimating the distribution of optical turbulence strength for a given locale through the connections provided by flux-profile relations (Monin-Obukhov similarity theory) between the sensible heat flux generated in the surface-layer atmosphere and the refractive index structure parameter. This report examines various alternative methods for handling various energy-budget components especially important for nocturnal energy-budget calculations. Fluxes considered include radiative and ground flux components, solar direct and diffuse radiation, foliage-cover effects, and a detailed discussion of gravity-wave influences. The discussion and conclusions sections highlight options for extending the model to fluctuating inputs either based on measured data or through use of statistical fluctuations, as well as testing recommendations for a program of model validation.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2015
Accession Number
ADA622430

Entities

People

  • David H. Tofsted

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Boundary Layer
  • Climate Change
  • Computational Fluid Dynamics
  • Computational Science
  • Energy
  • Energy Storage
  • Energy Transfer
  • Heat Energy
  • Heat Transfer
  • Latent Heat
  • Meteorology
  • Military Research
  • Optical Properties
  • Surface Properties
  • Three Dimensional
  • Turbulence
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Life Cycle Cost Analysis
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Spectroscopy.