Hometop nav spacerAbout ARStop nav spacerHelptop nav spacerContact Ustop nav spacerEn Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
United States Department of Agriculture Agricultural Research Service
Search
 
 
 
National Programs
International Programs
Find Research Projects
The Research Enterprise
Office of Scientific Quality Review
Research Initiatives
 

Title: APPLICATION OF SURFACE LAYER SIMILARITY IN A HETEROGENEOUS DESERT ECOSYSTEM

Authors
item Kustas, William
item Prueger, John
item Hatfield, Jerry
item Hipps, Lawrence - UTAH STATE UNIVERSITY

Submitted to: Symposium on Boundary Layer
Publication Type: Proceedings
Publication Acceptance Date: August 1, 1997
Publication Date: N/A

Technical Abstract: Similarity theory has been a widely applied approach for estimating turbulent fluxes of heat and momentum in the surface layer since only measurements of mean quantities are required. Moreover these flux-gradient relationships are used exclusively in Soil-Vegetation-Atmosphere Transfer (SVAT) models for simulating the transport of fluxes across the land surface-atmosphere interface. Over the past 25 years, however, a number of studies have shown significant discrepancies between turbulent fluxes derived from similarity and measured directly by eddy covariance or energy budget techniques for rough and heterogeneous surfaces. In this paper, we discuss the application of surface layer similarity using mean profiles of temperature and wind speed for estimating sensible heat and momentum, fluxes over a mesquite dune site in the USDA-ARS Jornada Experimental Range near Las Cruces, New Mexico. This site contains complex topography and heterogeneous cover where 0.5 m tall mesquite vegetation grow on dunes that are 1-2 m in height and 10's meters in width. Very little if any vegetation exists in the interspace regions.

   
 
 
Last Modified: 06/20/2013
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House