Preprints
https://doi.org/10.5194/essd-2022-171
https://doi.org/10.5194/essd-2022-171
 
24 May 2022
24 May 2022
Status: this preprint is currently under review for the journal ESSD.

A global terrestrial evapotranspiration product based on the three-temperature model with fewer input parameters and no calibration requirement

Leiyu Yu1, Guo Yu Qiu1, Chunhua Yan1, Wenli Zhao2,3, Zhendong Zou4, Jinshan Ding1, Longjun Qin1, and Yujiu Xiong5,6 Leiyu Yu et al.
  • 1Shenzhen Engineering Laboratory for Water Desalinization with Renewable Energy, School of Environment and Energy, Peking University, Shenzhen, 518055, PR China
  • 2Department of Earth and Environmental Sciences, Data Science Institute, Columbia University, New York, NY 10027, America
  • 3Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10, Jena, 07745, Germany
  • 4Shenzhen Investment Holdings Co., LTD, Shenzhen, 518048, PR China
  • 5School of Civil Engineering, Sun Yat-Sen University, Guangzhou, 510275, PR China
  • 6Department Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, PR China

Abstract. Accurate global terrestrial evapotranspiration (ET) estimation is essential to better understand Earth’s energy and water cycles. Although several global ET products exist, recent studies indicate that ET estimates exhibit high uncertainty. With the increasing trend of extreme climate hazards (e.g., droughts and heat waves), accurate ET estimation under extreme conditions remains challenging. To overcome these challenges, we used 3-hour and 0.25° Global Land Data Assimilation System (GLDAS) datasets (net radiation, land surface temperature (LST), and air temperature) and three-temperature (3T) model, without resistance and parameter calibration, in global terrestrial ET product development. The results demonstrated that the 3T model-based ET product agreed well with both global eddy covariance (EC) tower (root mean square error (RMSE) = 24.9 mm month-1) and basin-scale water balance observations (RMSE =116.0 mm yr-1). The 3T model-based global terrestrial ET product was comparable to other common ET products, i.e., MOD16, P-LSH, PML, GLEAM, GLDAS, and Fluxcom, retrieved from various models, but the 3T model performed better under extreme weather conditions in croplands than did the GLDAS, attaining 9.0–20 % RMSE reduction. The proposed ET product could provide periodic and large-scale information to support water cycle-related studies. The dataset is freely available at the Science Data Bank (http://doi.org/10.57760/sciencedb.o00014.00001, Xiong et al., 2022).

Leiyu Yu et al.

Status: open (until 19 Jul 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-171', Anonymous Referee #1, 04 Jun 2022 reply
  • CC1: 'Comment on essd-2022-171', Shaoyang He, 09 Jun 2022 reply
  • RC2: 'Comment on essd-2022-171', Anonymous Referee #2, 18 Jun 2022 reply

Leiyu Yu et al.

Data sets

A global terrestrial evapotranspiration product based on three-temperature model from 2001 to 2020 Yujiu Xiong; Leiyu Yu; Guo Yu Qiu; Chunhua Yan; Wenli Zhao; Zhendong Zou; Jinshan Ding; Longjun Qin http://doi.org/10.57760/sciencedb.o00014.00001

Leiyu Yu et al.

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Short summary
Accurate global terrestrial evapotranspiration (ET) estimation is essential to better understand Earth’s energy and water cycles. Here we estimate global ET with the three-temperature model, GLDAS reanalysis data, and MODIS NDVI data. Results show the ET estimates agree well with global eddy covariance tower, basin-scale water balance observations, and other ET products. Hence, the proposed ET product could provide periodic and large-scale information to support water cycle-related studies.