Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 3
Articles | Volume 16, issue 3
https://doi.org/10.5194/essd-16-1283-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-1283-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 3
Data description paper
 | 
13 Mar 2024
Data description paper |  | 13 Mar 2024

Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations

Jiye Leng, Jing M. Chen, Wenyu Li, Xiangzhong Luo, Mingzhu Xu, Jane Liu, Rong Wang, Cheryl Rogers, Bolun Li, and Yulin Yan

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Short summary
We produced a long-term global two-leaf gross primary productivity (GPP) and evapotranspiration (ET) dataset at the hourly time step by integrating a diagnostic process-based model with dynamic parameterizations. The new dataset provides us with a unique opportunity to study carbon and water fluxes at sub-daily time scales and advance our understanding of ecosystem functions in response to transient environmental changes.
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