Articles | Volume 16, issue 9
https://doi.org/10.5194/essd-16-3993-2024
© Author(s) 2024. 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-16-3993-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
12 Sep 2024
Data description article |
| 12 Sep 2024
| 12 Sep 2024
Satellite-based near-real-time global daily terrestrial evapotranspiration estimates
National Satellite Meteorological Center (National Center for Space Weather), Beijing 100081, China
Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China
Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites China Meteorological Administration, Beijing 100081, China
Yong Luo
CORRESPONDING AUTHOR
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
Jing M. Chen
Key Laboratory for Humid Subtropical Ecogeographical Processes of the Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
Department of Geography and Planning, University of Toronto, Ontario, M5S 3G3, ON, Canada
Qiuhong Tang
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Tammo Steenhuis
Department of Biological and Environmental Engineering, Cornell University, Ithaca 14850, New York, USA
Wei Cheng
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Wen Shi
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
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Short summary
Timely global terrestrial evapotranspiration (ET) data are crucial for water resource management and drought forecasting. This study introduces the VISEA algorithm, which integrates satellite data and shortwave radiation to provide daily 0.05° gridded near-real-time ET estimates. By employing a vegetation index–temperature method, this algorithm can estimate ET without requiring additional data. Evaluation results demonstrate VISEA's comparable accuracy with accelerated data availability.
Timely global terrestrial evapotranspiration (ET) data are crucial for water resource management...
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