9 July 2013 Improving temporal extrapolation for daily evapotranspiration using radiation measurements
Xiaochun Zhang, Jingwei Wu, Huayi Wu, Haorui Chen, Tong Zhang
Author Affiliations +
Abstract
Accuracy needs to be improved when extrapolating instantaneous remote sensing evapotranspiration (ET) values for daily ET estimates. Daily net radiation (R n24 ) is a critical variable for this extrapolation. We expand the de Bruin and Sticker formula for R n24 in the evaporative fraction method by incorporating ground radiation measurements. In addition, an improved daily transmittance formula that considers atmospheric conditions and solar declination is proposed for R n24 calculation. The coefficient for daily net longwave radiation (R nl24 ) in R n24 is regressed from the ground radiation measurements and the improved daily transmittance values. A comparative study was conducted in the Haihe River basin, China. Experimental results show that the improved method yields a root mean square error of 0.97 mm for daily ET and only about 2% underestimation for actual seasonal ET in the study area. These results are better than the values obtained by traditional methods.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2013/$25.00 © 2013 SPIE
Xiaochun Zhang, Jingwei Wu, Huayi Wu, Haorui Chen, and Tong Zhang "Improving temporal extrapolation for daily evapotranspiration using radiation measurements," Journal of Applied Remote Sensing 7(1), 073538 (9 July 2013). https://doi.org/10.1117/1.JRS.7.073538
Published: 9 July 2013
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Cited by 4 scholarly publications.
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KEYWORDS
Transmittance

Solar radiation

Clouds

Atmospheric modeling

Data modeling

MODIS

Satellites

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