Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 12
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 article
 | 
11 Dec 2025
Data description article |  | 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

Viewed

Total article views: 3,757 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,932 695 130 3,757 383 116 185
  • HTML: 2,932
  • PDF: 695
  • XML: 130
  • Total: 3,757
  • Supplement: 383
  • BibTeX: 116
  • EndNote: 185
Views and downloads (calculated since 29 Apr 2025)
Cumulative views and downloads (calculated since 29 Apr 2025)

Viewed (geographical distribution)

Total article views: 3,757 (including HTML, PDF, and XML) Thereof 3,740 with geography defined and 17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 03 Jul 2026
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint