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

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

doi:https://doi.org/10.5194/essd-16-1283-2024

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

Supplement

https://doi.org/10.5194/essd-16-1283-2024-supplement

Data sets

Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations Jiye Leng et al. https://doi.org/10.57760/sciencedb.ecodb.00163

Global datasets of daily carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations Jiye Leng et al. https://doi.org/10.57760/sciencedb.ecodb.00165

Model code and software

Biosphere-atmosphere Exchange Process Simulator (BEPS) Jiye Leng et al. https://github.com/JChen-UToronto/BEPS_hourly_site

Biosphere-atmosphere Exchange Process Simulator (BEPS) (4.10) Jiye Leng et al. https://doi.org/10.5281/zenodo.10804469

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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.