FluxHourly: global long-term hourly 9&thinsp;km terrestrial water-energy-carbon fluxes

Han, Qianqian; Zeng, Yijian; Wang, Yunfei; Alidoost, Fakhereh; Nattino, Francesco; Liu, Yang; Su, Bob

doi:10.5194/essd-17-7101-2025

Articles | Volume 17, issue 12

https://doi.org/10.5194/essd-17-7101-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-17-7101-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 12

Data description paper

|

11 Dec 2025

Data description paper |

| 11 Dec 2025

FluxHourly: global long-term hourly 9 km terrestrial water-energy-carbon fluxes

Qianqian Han, Yijian Zeng, Yunfei Wang, Fakhereh Alidoost, Francesco Nattino, Yang Liu, and Bob Su

Supplement

https://doi.org/10.5194/essd-17-7101-2025-supplement

Data sets

Global long-term hourly 9 km terrestrial water-energy-carbon fluxes (FluxHourly, 2000-2020) Qianqian Han et al. https://doi.org/10.11888/Terre.tpdc.302319

Model code and software

FluxHourly: Global long-term hourly 9 km terrestrial water-energy-carbon fluxes Qianqian Han et al. https://doi.org/10.5281/zenodo.17697920

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Short summary

Understanding how land interacts with the atmosphere is crucial for studying climate change, yet global high-resolution data on energy, water, and carbon exchanges remain limited. This study introduces a new dataset FluxHourly that estimates these exchanges hourly from 2000 to 2020 by combining physical process model, field measurements, and machine learning with satellite and meteorological data. Fluxhourly enables analysis of ecosystem responses to climate extremes.