The Roughness Lengths Associated with Regions of Heterogeneous Vegetation and Elevation.

Abstract

Algorithms for calculating seasonal roughness lengths from digitized descriptions of surface vegetation and man-made objects are described. The 'monthly characteristic vegetation roughness' for a one square kilometer plat is a log average of 100 roughness lengths, which correspond to the vegetation codes. Seasonal histograms for each square kilometer were also computed. The concept of a roughness length due to changes in elevation is used to derive an algorithm for its calculation. Both algorithms were used to compute roughness lengths for two regions of Central Europe. Region A contained 12,000 square kilometers of elevation and vegetation data at 100 meter intervals. Both types of roughness length were calculated for this region. Region B contained nearly 400,000 square kilometers of elevation data at a 63.5 meter interval. Region B includes region A. In region B only roughness lengths due to elevation change were calculated. The calculated vegetation and elevation roughness lengths in region A were compared. The elevation roughness lengths are generally greater than those due to vegetation in hilly country. The elevation roughness lengths of region A and region B were also compared. It is concluded that the elevation roughness algorithms are sensitive to the horizontal interval between data points.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1982
Accession Number
ADA117409

Entities

People

  • Charles D. Macarthur
  • Patrick A. Haines

Organizations

  • University of Dayton

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Agriculture
  • Algorithms
  • Atmospheric Sciences
  • Boundary Layer
  • Climatology
  • Computer Programming
  • Computer Programs
  • Computers
  • Contracts
  • Grids
  • Histograms
  • Layers
  • Sea Level
  • Standards
  • Statistics
  • Surface Roughness
  • Universities

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