|Suvocarev, Kosana - University Of Arkansas|
|Greer, Seth - University Of Missouri|
|Sadler, Edward - John|
|Wood, Jeffery - University Of Missouri|
|Bhattacharjee, Joydeep - University Of Louisiana At Monroe|
|Runkle, Benjamin - University Of Arkansas|
Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 3/27/2017
Publication Date: 3/27/2017
Citation: Suvocarev, K., Greer, S., Sadler, E.J., Wood, J.D., Bhattacharjee, J., Reba, M.L., Runkle, B.R. 2017. Surface renewal application and examination over different AmeriFlux landscapes [abstract]. 2017 Joint NACP and Ameriflux PI Meeting, March 27–30, 2017, Bethesda, Maryland. Poster 143.
Technical Abstract: Some growing canopy or patchy forest sites may preclude optimal use of eddy covariance (EC) because their characteristics prevent consistent measurements in the inertial sublayer. Therefore, alternative flux measurement methods with the potential to measure in roughness sublayer are desirable. The surface renewal (SR) approach by Castellvi in 2004 has been shown to independently measure surface-atmosphere fluxes with adjustments to frequent changes in the roughness sublayer depth. We are particularly interested in evaluating the SR method at cropland and forest sites where EC measurements are available for comparison. These sites are part of either the AmeriFlux or Long-term Agricultural Research networks. The main goal was to apply the SR method over the high frequency scalar time series of temperature, water vapor and CO2 concentrations with the average horizontal wind speed to test the possibility of avoiding sonic anemometry. The results showed a high agreement between sensible (H), latent (LE) and CO2 fluxes when SR was compared to EC as a reference regardless of stability conditions or underlying surface. However, a pattern of overestimation was observed for fluxes from short agricultural crops and underestimation for forest sites. There are more open questions to address in this method before recommending its universal application over different landscapes. These challenges include applying similarity based relationships in the roughness sublayer, canopy drag coefficients, the WPL term for density corrections, etc. We look forward to testing and refining this approach with contributions from across the AmeriFlux network and possibly building an R code for a universally appropriate SR processing scheme.