Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 9
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.
https://doi.org/10.5194/essd-18-6613-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 9
Data description article
 | 
09 Sep 2026
Data description article |  | 09 Sep 2026

EGO: a global 0.05° hourly GPP dataset for monitoring diurnal photosynthesis dynamics

Xi Liu, Xing Li, Dalei Hao, Jingfeng Xiao, Yanan Zhou, Cenliang Zhao, Zikang Diao, Fuqiang Qu, Shangrong Lin, Xiangzhuo Liu, Zhaoying Zhang, Xinjie Liu, and Helin Zhang

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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.
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