DocumentCode :
3057681
Title :
Estimation of evaporative fraction from temporal changes of temperature and net radiation
Author :
Jing Lu ; Zhao-Liang Li ; Ronglin Tang ; Bohui Tang ; Hua Wu ; Labed, Jelila
Author_Institution :
State Key Lab. of Resources & Environ. Inf. Syst., Inst. of Geogr., Sci. & Natural Resources Res., Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
1813
Lastpage :
1816
Abstract :
To resolve uncertainties in evapotranspiration (ET) estimates caused by the retrieval error of remotely sensed data, this study develops an evaporative fraction (EF) parameterization based on surface energy balance and the assumption of generally invariant EF during the daytime. EF is deduced as a function of temporal change of surface temperatures, temporal change of air temperature, temporal change of net radiation, and fractional vegetation cover. The EF parameterization is evaluated by the simulated data from a soil-vegetation-atmosphere transfer model with a coefficient of determination (R2) of 0.786 and a root mean square error (RMSE) of 0.117. When the EF parameterization is used to estimate the daily ET of the Yucheng station in North China by in situ measurements, the estimated results are acceptable with an RMSE of 0.7 mm (relative RMSE of 25%) and an R2 of 0.837.
Keywords :
atmospheric radiation; atmospheric temperature; evaporation; land surface temperature; transpiration; vegetation; North China; evaporative fraction estimation; evaporative fraction parameterization; evapotranspiration; fractional vegetation cover; net radiation temporal changes; retrieval error; soil-vegetation-atmosphere transfer model; surface energy balance; temperature temporal changes; Atmospheric measurements; Atmospheric modeling; Equations; Mathematical model; Remote sensing; Temperature sensors; EF; ET; net radiation; surface temperature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723152
Filename :
6723152
Link To Document :
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