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

Cheng, Minghan; Jiao, Xiyun; Li, Binbin; Yu, Xun; Shao, Mingchao; Jin, Xiuliang

doi:https://doi.org/10.5194/essd-13-3995-2021

Articles | Volume 13, issue 8

https://doi.org/10.5194/essd-13-3995-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-13-3995-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 8

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, Xiyun Jiao, Binbin Li, Xun Yu, Mingchao Shao, and Xiuliang Jin

Data sets

Long time series (2001–2018) of daily evapotranspiration in China generated based on SEBAL: Part 1 M. Cheng https://doi.org/10.5281/zenodo.4243988

Long time series (2001–2018) of daily evapotranspiration in China generated based on SEBAL: Part 2 M. Cheng https://doi.org/10.5281/zenodo.4896147

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.