Articles | Volume 14, issue 8
https://doi.org/10.5194/essd-14-3673-2022
https://doi.org/10.5194/essd-14-3673-2022
Data description paper
 | 
12 Aug 2022
Data description paper |  | 12 Aug 2022

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

Leiyu Yu, Guo Yu Qiu, Chunhua Yan, Wenli Zhao, Zhendong Zou, Jinshan Ding, Longjun Qin, and Yujiu Xiong

Related authors

EcoPro-LSTM𝑣0: A Memory-based Machine Learning Approach to Predicting Ecosystem Dynamics across Time Scales in Mediterranean Environments
Mitra Cattry, Wenli Zhao, Juan Nathaniel, Jinghao Qiu, Yao Zhang, and Pierre Gentine
EGUsphere, https://doi.org/10.5194/egusphere-2024-3726,https://doi.org/10.5194/egusphere-2024-3726, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Uncertainty caused by resistances in evapotranspiration
Wen Li Zhao, Yu Jiu Xiong, Kyaw Tha Paw U, Pierre Gentine, Baoyu Chen, and Guo Yu Qiu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-160,https://doi.org/10.5194/hess-2019-160, 2019
Manuscript not accepted for further review
Short summary
Effects of land use/land cover and climate changes on surface runoff in a semi-humid and semi-arid transition zone in northwest China
Jing Yin, Fan He, Yu Jiu Xiong, and Guo Yu Qiu
Hydrol. Earth Syst. Sci., 21, 183–196, https://doi.org/10.5194/hess-21-183-2017,https://doi.org/10.5194/hess-21-183-2017, 2017
Short summary

Related subject area

Domain: ESSD – Land | Subject: Hydrology
GRILSS: opening the gateway to global reservoir sedimentation data curation
Sanchit Minocha and Faisal Hossain
Earth Syst. Sci. Data, 17, 1743–1759, https://doi.org/10.5194/essd-17-1743-2025,https://doi.org/10.5194/essd-17-1743-2025, 2025
Short summary
A worldwide event-based debris flow barrier dam dataset from 1800 to 2023
Haiguang Cheng, Kaiheng Hu, Shuang Liu, Xiaopeng Zhang, Hao Li, Qiyuan Zhang, Lan Ning, Manish Raj Gouli, Pu Li, Anna Yang, Peng Zhao, Junyu Liu, and Li Wei
Earth Syst. Sci. Data, 17, 1573–1593, https://doi.org/10.5194/essd-17-1573-2025,https://doi.org/10.5194/essd-17-1573-2025, 2025
Short summary
CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations
Jun Liu, Julian Koch, Simon Stisen, Lars Troldborg, Anker Lajer Højberg, Hans Thodsen, Mark F. T. Hansen, and Raphael J. M. Schneider
Earth Syst. Sci. Data, 17, 1551–1572, https://doi.org/10.5194/essd-17-1551-2025,https://doi.org/10.5194/essd-17-1551-2025, 2025
Short summary
An in situ daily dataset for benchmarking temporal variability of groundwater recharge
Pragnaditya Malakar, Aatish Anshuman, Mukesh Kumar, Georgios Boumis, T. Prabhakar Clement, Arik Tashie, Hitesh Thakur, Nagaraj Bhat, and Lokendra Rathore
Earth Syst. Sci. Data, 17, 1515–1528, https://doi.org/10.5194/essd-17-1515-2025,https://doi.org/10.5194/essd-17-1515-2025, 2025
Short summary
CAMELS-FR dataset: a large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking
Olivier Delaigue, Guilherme Mendoza Guimarães, Pierre Brigode, Benoît Génot, Charles Perrin, Jean-Michel Soubeyroux, Bruno Janet, Nans Addor, and Vazken Andréassian
Earth Syst. Sci. Data, 17, 1461–1479, https://doi.org/10.5194/essd-17-1461-2025,https://doi.org/10.5194/essd-17-1461-2025, 2025
Short summary

Cited articles

Badgley, G., Fisher, J. B., Jiménez, C., Tu, K. P., and Vinukollu, R.: On uncertainty in global terrestrial evapotranspiration estimates from choice of input forcing datasets, J. Hydrometeorol., 16, 1449–1455, https://doi.org/10.1175/JHM-D-14-0040.1, 2015. 
Bao, X. and Zhang, F.: Evaluation of NCEP–CFSR, NCEP–NCAR, ERA-Interim, and ERA-40 reanalysis datasets against independent sounding observations over the Tibetan Plateau, J. Climate, 26, 206–214, https://doi.org/10.1175/JCLI-D-12-00056.1, 2013. 
Beaudoing, H. and Rodell, M.: GLDAS Noah Land Surface Model L4 3 hourly 0.25 × 0.25 degree V2.1, Goddard Earth Sciences Data and Information Services Center (GES DISC) [data set], https://doi.org/10.5067/E7TYRXPJKWOQ, 2020. 
Bengtsson, L. and Shukla, J.: Integration of space and in situ observations to study global climate change, B. Am. Meteorol. Soc., 69, 1130–1143, https://doi.org/10.1175/1520-0477(1988)069<1130:IOSAIS>2.0.CO;2, 1988. 
Bonan, G. B., Patton, E. G., Finnigan, J. J., Baldocchi, D. D., and Harman, I. N.: Moving beyond the incorrect but useful paradigm: reevaluating big-leaf and multilayer plant canopies to model biosphere-atmosphere fluxes – a review, Agric. For. Meteorol., 306, 108435, https://doi.org/10.1017/aju.2017.9, 2021. 
Download
Short summary
Accurate evapotranspiration (ET) estimation is essential to better understand Earth’s energy and water cycles. We estimate global terrestrial ET with a simple three-temperature model, without calibration and resistance parameterization requirements. Results show the ET estimates agree well with FLUXNET EC data, water balance ET, and other global ET products. The proposed daily and 0.25° ET product from 2001 to 2020 could provide large-scale information to support water-cycle-related studies.
Share
Altmetrics
Final-revised paper
Preprint