Thursday, 5 August 2010: 2:15 PM
Red Cloud Peak (Keystone Resort)
A novel micrometeorological eddy-covariance related method is presented. The method is based on conventional Reynolds decomposition in concept, but uses different mathematics in analyzing turbulent data. The method was tested on data gathered at the two sites, the Wind River Canopy Crane in Washington State, and a sorghum canopy in Davis, California. Sonic anemometers and infrared gas analyzers were placed over these canopies. Biomicrometeorological 10-20 Hz data of the velocity and scalar fields from these experiments were analyzed using conventional eddy-covariance, surface renewal, and the new method. In general, the comparison shows the methods give similar results, but less scatter is observed with the new method. All methods will still have limitations under low turbulence conditions as has been previously identified by many researchers.
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