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United States Department of Agriculture

Agricultural Research Service

Research Project: USING REMOTE SENSING & MODELING FOR EVALUATING HYDROLOGIC FLUXES, STATES, & CONSTITUENT TRANSPORT PROCESSES WITHIN AGRICULTURAL LANDSCAPES Title: Evaluating Flux-Variance Relationships Under Strongly Advective Conditions During BEAREX08

Authors
item Kustas, William
item Prueger, John
item Hipps, Lawrence -
item Chavez, Jose -
item French, Andrew

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: August 3, 2009
Publication Date: August 3, 2009
Citation: Kustas, W.P., Prueger, J.H., Hipps, L.E., Chavez, J.L., French, A.N. 2009. Evaluating flux-variance relationships under strongly advective conditions during BEAREX08 [abstract]. The International Annual Meetings of the American Society of Agronomy, Crop Science Society of America, and Soil Society of America, Symposium on Remote Sensing at Multiple Scales: The Bushland Evapotranspiration and Agricultural Remote Sensing Experiment 2008. http://a-c-s.confex.com/crops/2009am/webprogram/Paper55078.html.

Technical Abstract: Flux-variance approaches for latent and sensible heat flux using eddy covariance (EC) tower data from the Evapotranspiration and Agricultural Remote Sensing Experiment (BEAREX_08) are evaluated for irrigated and non-irrigated cotton,a pasture grassland surface, a fallow wheat field and a 10 m EC tower influenced by both irrigated and non-irrigated sources. BEAREX08 was conducted at the Conservation Production Research Laboratory (CPRL) in Bushland, TX a region known for significant advection with strong winds. It is unknown how conditions of strong advection will affect flux-variance relationships developed from Monin-Obukhov similarity theory using turbulence data collected over extensive and homogeneous non-advective landscapes. A discussion of the effects of advection on these relationships and potential use of flux-variance methods in this type of environment will be presented.

Last Modified: 8/29/2014
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