Mesoscale Severe Weather Development under Orographic Influences

Abstract

Measurements of surface energy budgets have been carried out at several sites in the Colorado Rocky Mountains, in the Kansas Prairie, in the Gobi Desert and in Tibet. The fluxes of sensible heat, H sub S, from the surface could be estimated as functions of the difference between air temperature and infrared 'skin surface' temperature, as seen by remote sensing instruments. Computations of Hs involve a neutral stability coefficient for turbulent transfer (drag coefficient), C sub T, ranging between 0.0021 (Gobi Desert) and 0.0070 (alpine tundra), and a scaling factor for stability. Latent heat fluxes were estimated either as residual of total energy fluxes or through a Bowen ratio approach. These flux estimates worked well in a mesoscale, nested-grid model over the Rocky Mountains. The model was able to predict with considerable skill flash-flood events such as the Big Thompson flood of 1976 and the Cheyenne flood of 1985. By implanting 'features' such as a vorticity maximum associated with a low-level jet stream, the model without nested grid was able to predict severe cyclogenesis ('bomb' formation) over the eastern United States. Both model versions run on a desktop workstation.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1989
Accession Number
ADA205082

Entities

People

  • Elmar R. Reiter
  • John D. Sheaffer
  • Marjorie A. Klitch

Organizations

  • Colorado State University

Tags

Communities of Interest

  • Counter IED
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Temperature
  • Atmospheric Sciences
  • Energy
  • Energy Transfer
  • Floods
  • Heat Energy
  • Heat Flux
  • Latent Heat
  • Measurement
  • Meteorology
  • Remote Sensing
  • Rocky Mountains
  • Surface Energy
  • Surface Properties
  • United States
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Geotechnical Engineering.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Wetland-Land-Environmental Management.