Toward Improving the Efficiency and Realism of Coupled Meteorological Acoustic Computer Models for the Forest Canopy

Abstract

Several physics-based computer models have been developed to calculate one- and two-dimensional forest canopy micrometeorology and turbulence for future U.S. Army acoustic application research. Individual computer codes have incorporated various computational methods on a uniform grid to solve the meteorological fields. However, it may be possible to improve the efficiency and realism of the coupled meteorological acoustic computer models by introducing variable grid. Variable grid will allow for better distribution of grid points and will extend calculations higher into the boundary layer above the forest. A finer grid inside the forest and a coarser grid above the forest will help to resolve important meteorological (and acoustic) scales and processes. Therefore, the following report presents results from some preliminary tests to incorporate this important feature into numerical codes. First, several simpler physics-based diffusion models are developed to benchmark fundamental (numerical) techniques. Both explicit and implicit differencing schemes are examined. In addition, numerical stability criteria for these calculations are demonstrated. Then, successful preliminary tests on these codes are extended to more complicated meteorological acoustic models for the forest canopy.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2004
Accession Number
ADA422715

Entities

People

  • Tunick Arnold

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Boundary Layer
  • Computational Science
  • Computers
  • Differential Equations
  • Diffusion
  • Diffusivity
  • Efficiency
  • Equations
  • Fluid Mechanics
  • Layers
  • Military Research
  • Physics
  • Steady State
  • Two Dimensional
  • Wind Velocity

Fields of Study

  • Environmental science

Readers

  • Aerosol Science/Aerosol Physics
  • Computational Fluid Dynamics (CFD)