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	Derivation of Daily Evaporative Fraction Based on Temporal Variations in Surface Temperature, Air Temperature, and Net Radiation
	Lu J. ; Tang R. L. ; Tang H. J. ; Li Z. L.
	2013
关键词	evaporative fraction temporal variation remote sensing SVAT model soil heat-flux energy-balance regional evapotranspiration diurnal behavior thermal inertia river-basin vegetation model algorithm ndvi
英文摘要	Based on surface energy balance and the assumption of fairly invariant evaporative fraction (EF) during daytime, this study proposes a new parameterization scheme of directly estimating daily EF. Daily EF is parameterized as a function of temporal variations in surface temperature, air temperature, and net radiation. The proposed EF parameterization scheme can well reproduce daily EF estimates from a soil-vegetation-atmosphere transfer (SVAT) model with a root mean square error (RMSE) of 0.13 and a coefficient of determination (R-2) of 0.719. When input variables from in situ measurements at the Yucheng station in North China are used, daily EF estimated by the proposed method is in good agreement with measurements from the eddy covariance system corrected by the residual energy method with an R-2 of 0.857 and an RMSE of 0.119. MODIS/Aqua remotely sensed data were also applied to estimate daily EF. Though there are some inconsistencies between the remotely sensed daily EF estimates and in situ measurements due to errors in input variables and measurements, the result from the proposed parameterization scheme shows a slight improvement to SEBS-estimated EF with remotely sensed instantaneous inputs.
出处	Remote Sensing
卷	5
期	10
页	5369-5396
收录类别	SCI
语种	英语
ISSN号	2072-4292
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30359]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Lu J.,Tang R. L.,Tang H. J.,et al. Derivation of Daily Evaporative Fraction Based on Temporal Variations in Surface Temperature, Air Temperature, and Net Radiation. 2013.

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