The Effect Of Soil Moisture and Vegetation Heterogeneity on a Great Plains Dryline: A Numerical Study.

Abstract

The impact of heterogeneous soil moisture and vegetation fields on a Great Plains dryline are examined through the use of a mesoscale numerical model. A three dimensional, non-hydrostatic, nested grid version of the Colorado State University Regional Atmospheric Modeling System (RAMS) was used to perform five simulations of an actual dryline which was observed as part of the COPS-91 field experiment on 15 May 1991. A control run which was designed to reproduce the observed conditions as accurately as possible was generated and verified against standard National Weather Service observations, PAM-II observations, M-CLASS soundings, and vertical cross section analyses obtained from the NOAA P-3 aircraft. A representative heterogeneous soil moisture field for use in the control simulation was generated using an antecedent precipitation index (API). Variable vegetation was input using the Biosphere-Atmosphere Transfer Scheme (BATS) and included 18 categories of land surface type derived from the USGS NDVI dataset. Because the standard RAMS code modifies the surface fluxes by the Leaf Area Index (LAI), the LAI was limited to a value of 3.0 or less in the flux calculations for all vegetation types although the BATS scheme assigns values of LAI as high as 6.0. Justification for this limitation is presented.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1995
Accession Number
ADA294210

Entities

People

  • Brent L. Shaw

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Atmospheric Sciences
  • Boundary Layer
  • Climate Change
  • Energy Transfer
  • Grids
  • Hydrostatic Pressure
  • Isotherms
  • Meteorology
  • Research Aircraft
  • Surface Properties
  • Surface Temperature
  • Temperature Gradients
  • Three Dimensional
  • United States
  • Water Vapor
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Geotechnical Engineering.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers