Articles | Volume 18, issue 9
https://doi.org/10.5194/essd-18-6707-2026
© Author(s) 2026. 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-18-6707-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A benchmark dataset for half-hourly evapotranspiration estimation in China from 2000 to 2024
Long Qian
School of Soil and Water Conservation, Jiangxi University of Water Resources and Electric Power, Nanchang, 330099, China
College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, China
Xingjiao Yu
School of Soil and Water Conservation, Jiangxi University of Water Resources and Electric Power, Nanchang, 330099, China
College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, China
School of Soil and Water Conservation, Jiangxi University of Water Resources and Electric Power, Nanchang, 330099, China
Yaokui Cui
Institute of RS and GIS, School of Earth and Space Sciences, Peking University, Beijing, 100871, China
Zhitao Zhang
College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, China
Junying Chen
College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, China
Sumeng Ye
College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, China
Xuqian Bai
College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, China
Xiaogang Liu
Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, 650500, China
Sien Li
Center for Agricultural Water Research in China, China Agricultural University, 100083, Beijing, China
Rangjian Qiu
State Key Laboratory of Water Resources Engineering and Management, Wuhan University, 430072, Wuhan, China
Data sets
A benchmark dataset for half-hourly evapotranspiration estimation in China from 2000 to 2024 Long Qian et al. https://doi.org/10.5281/zenodo.18194590
Short summary
Understanding how water moves from land to the atmosphere is essential for studying climate and water resources. However, ground observations in China are often incomplete and short. We created the first seamless half-hourly dataset covering China from 2000 to 2024 by carefully filling data gaps and extending observations in time. The dataset closely matches measurements and provides a reliable foundation for climate, water, and environmental research.
Understanding how water moves from land to the atmosphere is essential for studying climate and...
Altmetrics
Final-revised paper
Preprint