Research Papers

Improving temporal extrapolation for daily evapotranspiration using radiation measurements

[+] Author Affiliations
Xiaochun Zhang

Wuhan University, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan 430072, China

Jingwei Wu

Wuhan University, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan 430072, China

Huayi Wu

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China

Haorui Chen

China Institute of Water Resources and Hydropower Research, Beijing 100038, China

Tong Zhang

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China

J. Appl. Remote Sens. 7(1), 073538 (Jul 09, 2013). doi:10.1117/1.JRS.7.073538
History: Received October 30, 2012; Revised May 20, 2013; Accepted May 23, 2013
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Abstract.  Accuracy needs to be improved when extrapolating instantaneous remote sensing evapotranspiration (ET) values for daily ET estimates. Daily net radiation (Rn24) is a critical variable for this extrapolation. We expand the de Bruin and Sticker formula for Rn24 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 Rn24 calculation. The coefficient for daily net longwave radiation (Rnl24) in Rn24 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.

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© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Xiaochun Zhang ; Jingwei Wu ; Huayi Wu ; Haorui Chen and Tong Zhang
"Improving temporal extrapolation for daily evapotranspiration using radiation measurements", J. Appl. Remote Sens. 7(1), 073538 (Jul 09, 2013). ; http://dx.doi.org/10.1117/1.JRS.7.073538


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