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Preprints
https://doi.org/10.5194/essd-2020-124
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-124
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  15 Jul 2020

15 Jul 2020

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This preprint is currently under review for the journal ESSD.

Synthesis of Global Actual Evapotranspiration from 1982 to 2019

Abdelrazek Elnashar1,2,3, Linjiang Wang1,2, Bingfang Wu1,2, Weiwei Zhu1, and Hongwei Zeng1,2 Abdelrazek Elnashar et al.
  • 1State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
  • 2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing,100049, China
  • 3Department of Natural Resources, Faculty of African Postgraduate Studies, Cairo University, Giza,12613, Egypt

Abstract. As a linkage among water, energy, and carbon cycles, global actual evapotranspiration (ET) plays an essential role in agriculture, water resource management, and climate change. Although it is difficult to estimate ET over a large scale and for a long time, there are several global ET datasets available with varied algorithms, parameters, and inputs, and they produce different levels of uncertainties. In this study, we propose a long-term synthesized ET product at a kilometer spatial resolution and monthly temporal resolution from 1982 to 2019. Through a site-pixel validation of certain global ET products over different land surface types and conditions, the high performing products were selected through a high-quality flux eddy covariance covering the entire globe. According to the study results, Penman-Monteith Leuning (PML), operational Simplified Surface Energy Balance (SSEBop), Moderate Resolution Imaging Spectroradiometer (MODIS, MOD16A2105) and the Numerical Terradynamic Simulation Group (NTSG) ET products were chosen to create the synthesized ET set. The proposed product agreed well with flux EC ET over most of the all comparison levels, with a maximum ME (RME) of 13.94 mm (17.13 %) and a maximum RMSE (RRMSE) of 38.61 mm (47.45 %). Furthermore, the product performed better than local ET products over China, the United States, and the African continent and presented an ET estimation across all land cover classes. While no product can perform best in all cases, the proposed ET can be used without looking at other datasets and performing further assessments. Data are available on the Harvard Dataverse public repository through the following Digital Object Identifier (DOI): https://doi.org/10.7910/DVN/ZGOUED (Elnashar et al., 2020) as well as it is available as Google Earth Engine (GEE) application through this link: https://elnashar.users.earthengine.app/view/synthesizedet.

Abdelrazek Elnashar et al.

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Synthesis of Global Actual Evapotranspiration from 1982 to 2019 Elnashar, A., Wang, L., Wu, B., Zhu, W., Zeng, H. https://doi.org/10.7910/DVN/ZGOUED

Abdelrazek Elnashar et al.

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Short summary
Based on a site-pixel validation and comparison of different global ET products, this paper is aiming at producing 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 covering the entire 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 looking at other datasets and performing further assessments.
Based on a site-pixel validation and comparison of different global ET products, this paper is...
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