A Reexamination of Acoustic Scattering in the Atmosphere Using an Improved Model for the Turbulence Spectrum

Abstract

Sound waves propagating near the ground are scattered by random fluctuations in the velocity of temperature fields. We revisit the problem of scattering of sound by turbulence using an improved von Karman-type model for the atmospheric turbulence spectrum. The new model incorporates large boundary-layer scale eddies generated by atmospheric convection, as well as smaller height-scale eddies generated by surface-layer shear. We show that velocity fluctuations- ions from the large convective eddies are typically the cause of random signal behavior for low acoustical frequencies and line-of-sight propagation. For higher frequencies and scattering angles, the shear turbulence becomes more important, with the relative importance of scattering by temperature and velocity fluctuations depending on the degree of atmospheric convection. By applying the new model to monostatic solar systems, we find that solar measurements of the temperature structure parameter can be systematically contaminated by the velocity structure parameter in strong wind conditions. We also discuss how the new model can be used to determine appropriate baselines for direction-finding arrays when there is significant degradation of signal coherence caused by turbulence.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA388573

Entities

People

  • D. K. Wilson
  • Vladimir E. Ostashev

Organizations

  • New Mexico State University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Propagation
  • Acoustic Waves
  • Acoustics
  • Angle Of Arrival
  • Atmospheric Motion
  • Boundary Layer
  • Buoyancy
  • Computational Fluid Dynamics
  • Direction Finding
  • Refraction
  • Refractive Index
  • Scattering
  • Sound Waves
  • Stratified Fluids
  • Turbulence
  • Wave Propagation
  • Wind Velocity

Fields of Study

  • Physics

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Radar Systems Engineering.