Articles | Volume 13, issue 8
Earth Syst. Sci. Data, 13, 3995–4017, 2021
Earth Syst. Sci. Data, 13, 3995–4017, 2021

Data description paper 19 Aug 2021

Data description paper | 19 Aug 2021

Long time series of daily evapotranspiration in China based on the SEBAL model and multisource images and validation

Minghan Cheng et al.

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Cited articles

Aguilar, A., Flores, H., Crespo, G., Marín, M., Campos, I., and Calera, A.: Performance Assessment of MOD16 in Evapotranspiration Evaluation in Northwestern Mexico, Water, 10, 901,, 2018. 
Bastiaanssen, W. G. M. and Steduto, P.: The water productivity score (WPS) at global and regional level: Methodology and first results from remote sensing measurements of wheat, rice and maize, Sci. Total Environ., 575, 595–611,, 2017. 
Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslag, A. A. M.: A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation, J. Hydrol., 212–213, 198–212,, 1998a. 
Carlson, T.: An Overview of the “Triangle Method” for Estimating Surface Evapotranspiration and Soil Moisture from Satellite Imagery, Sensors, 7, 17,, 2007. 
Short summary
Evapotranspiration (ET) is a key node linking surface water and energy balance. Satellite observations of ET have been widely used for water resources management in China. In this study, an ET product with high spatiotemporal resolution was generated using a surface energy balance algorithm and multisource remote sensing data. The generated ET product can be used for geoscience studies, especially global change, water resources management, and agricultural drought monitoring, for example.