Estimation of Sensible and Latent Heat Fluxes Using Surface Renewal Method: Case Study of a Tea Plantation

An experiment of sensible and latent heat flux measurement was conducted in a tea plantation near the Yangtze River within Danyang Jiangsu Province, China. High-frequency (~10 Hz) air temperature with fine-wire thermocouples (⌀ = 50 μm) used for estimation (H), (LE) extracted as residual energy balance equation using additional measurements net radiation (Rn) soil (G). Results were compared against eddy covariance (EC) system under unstable conditions only, days high precipitation excluded from further analysis. Half-hourly datasets estimated surface renewal method (SR) (HSR) measured by EC (HEC) analyzed. showed good agreement R2 0.80, root mean square error (RMSE) 27.87 W m−2, relative (RE) 9.02%, regression slope 0.68—this calibration uncalibrated HSR SR. On other hand, half-hourly dataset LESR regressed EC, it relatively 0.93, RMSE 32.99 W·m−2, RE 5.67%. Hence, SR may estimate fluxes at low cost, ultimately improving calculations evapotranspiration. Thus, could provide an economical tool crop water management plantations.