Articles | Volume 13, issue 2
https://doi.org/10.5194/essd-13-447-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-447-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
16 Feb 2021
Data description article |
| 16 Feb 2021
| 16 Feb 2021
Synthesis of global actual evapotranspiration from 1982 to 2019
Abdelrazek Elnashar
State Key Laboratory of Remote Sensing Science, Aerospace Information
Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
College of Resources and Environment, University of Chinese Academy of
Sciences, Beijing, 100049, China
Department of Natural Resources, Faculty of African Postgraduate
Studies, Cairo University, Giza, 12613, Egypt
Linjiang Wang
State Key Laboratory of Remote Sensing Science, Aerospace Information
Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
College of Resources and Environment, University of Chinese Academy of
Sciences, Beijing, 100049, China
Bingfang Wu
CORRESPONDING AUTHOR
State Key Laboratory of Remote Sensing Science, Aerospace Information
Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
College of Resources and Environment, University of Chinese Academy of
Sciences, Beijing, 100049, China
Weiwei Zhu
State Key Laboratory of Remote Sensing Science, Aerospace Information
Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
Hongwei Zeng
State Key Laboratory of Remote Sensing Science, Aerospace Information
Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
College of Resources and Environment, University of Chinese Academy of
Sciences, Beijing, 100049, China
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Short summary
Based on a site-pixel validation and comparison of different global evapotranspiration (ET) products, this paper aims to produce a synthesized ET which has a minimum level of uncertainty over as many conditions as possible from 1982 to 2019. Through a high-quality flux eddy covariance (EC) covering the globe, PML, SSEBop, MOD16A2105, and NTSG ET products were chosen to create the new dataset. It agreed well with flux EC ET and can be used without other datasets or further assessments.
Based on a site-pixel validation and comparison of different global evapotranspiration (ET)...
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