Articles | Volume 18, issue 9
https://doi.org/10.5194/essd-18-6613-2026
© 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-18-6613-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
09 Sep 2026
Data description article |
| 09 Sep 2026
| 09 Sep 2026
EGO: a global 0.05° hourly GPP dataset for monitoring diurnal photosynthesis dynamics
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Dalei Hao
Atmospheric, Climate, & Earth Sciences Division, Pacific Northwest National Laboratory, 902 Battelle Blvd, Richland, WA 99354, USA
Jingfeng Xiao
Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH 03824, USA
Yanan Zhou
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Cenliang Zhao
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Zikang Diao
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Fuqiang Qu
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Shangrong Lin
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Xiangzhuo Liu
INRAE, Bordeaux Sciences Agro, UMR 1391 ISPA, Villenave-d'Ornon, France
Zhaoying Zhang
International Institute for Earth System Sciences, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University, Nanjing, Jiangsu 210023, China
Xinjie Liu
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Helin Zhang
Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Republic of Korea
Data sets
EGO: a global 0.05° hourly GPP dataset for monitoring diurnal photosynthesis dynamics X. Liu and X. Ling https://doi.org/10.5281/zenodo.18253238
Short summary
Vegetation photosynthesis, quantified as Gross Primary Productivity (GPP), changes rapidly throughout the day. We developed a global hourly GPP dataset called EGO (Eddy covariance site-based Global hOurly) by combining tower observations with advanced artificial intelligence that accounts for causal effects, outperforms existing hourly GPP products and well captures diurnal photosynthesis dynamics. It will provide a reliable foundation for investigating sub-daily ecosystem processes and benchmarking Earth system models.
Vegetation photosynthesis, quantified as Gross Primary Productivity (GPP), changes rapidly...
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