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Open AccessArticle

Fetch Effect on Flux-Variance Estimations of Sensible and Latent Heat Fluxes of Camellia Sinensis

1
School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang 212013, China
2
Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, Volcani Center, P.O. Box 15159, Rishon LeZion 7528809, Israel
3
HIT—Holon Institute of Technology, Holon 58102, Israel
4
Department of Precision Machinery and Instrumentation, University of Sciences and Technology of China, Hefei 230026, Anhui, China
*
Author to whom correspondence should be addressed.
Atmosphere 2019, 10(6), 299; https://doi.org/10.3390/atmos10060299
Received: 4 May 2019 / Revised: 27 May 2019 / Accepted: 29 May 2019 / Published: 1 June 2019
Precise estimation of surface-atmosphere exchange is a major challenge in micrometeorology. Previous literature presented the eddy covariance (EC) as the most reliable method for the measurements of such fluxes. Nevertheless, the EC technique is quite expensive and complex, hence other simpler methods are sought. One of these methods is Flux-Variance (FV). The FV method estimates sensible heat flux (H) using high frequency (~10Hz) air temperature measurements by a fine wire thermocouple. Additional measurements of net radiation (Rn) and soil heat flux (G) allow the derivation of latent heat flux (LE) as the residual of the energy balance equation. In this study, the Flux Variance method was investigated, and the results were compared against eddy covariance measurements. The specific goal of the present study was to assess the performance of the FV method for the estimation of surface fluxes along a variable fetch. Experiment was carried out in a tea garden; an EC system measured latent and sensible heat fluxes and five fine-wire thermocouples were installed towards the wind dominant direction at different distances (fetch) of TC1 = 170 m, TC2 = 165 m, TC3 = 160 m, TC4 = 155 m and TC5 = 150 m from the field edge. Footprint analysis was employed to examine the effect of temperature measurement position on the ratio between 90% footprint and measurement height. Results showed a good agreement between FV and EC measurements of sensible heat flux, with all regression coefficients (R2) larger than 0.6; the sensor at 170 m (TC1), nearest to the EC system, had highest R2 = 0.86 and lowest root mean square error (RMSE = 25 Wm−2). The estimation of LE at TC1 was also in best agreement with eddy covariance, with the highest R2 = 0.90. The FV similarity constant varied along the fetch within the range 2.2–2.4. View Full-Text
Keywords: eddy covariance; sensible heat flux; latent heat flux; net radiation; soil heat flux; similarity constant eddy covariance; sensible heat flux; latent heat flux; net radiation; soil heat flux; similarity constant
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Buttar, N.A.; Yongguang, H.; Tanny, J.; Akram, M.W.; Shabbir, A. Fetch Effect on Flux-Variance Estimations of Sensible and Latent Heat Fluxes of Camellia Sinensis. Atmosphere 2019, 10, 299.

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