Articles | Volume 17, issue 4
https://doi.org/10.5194/essd-17-1329-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-1329-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
03 Apr 2025
Data description article |
| 03 Apr 2025
| 03 Apr 2025
A post-processed carbon flux dataset for 34 eddy covariance flux sites across the Heihe River basin, China
Xufeng Wang
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, State Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, State Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Jingfeng Xiao
Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH 03824, USA
Tonghong Wang
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, State Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
School of Geography and Environmental Sciences, Northwest Normal University, Lanzhou 730000, China
Junlei Tan
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, State Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Yang Zhang
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, State Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Zhiguo Ren
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, State Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Liying Geng
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, State Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Haibo Wang
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, State Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Ziwei Xu
State Key Laboratory of Earth Surface Processes and Hazards Risk Governance, Faculty of Geographical Science, Beijing Normal University, Beijing 100101, China
Shaomin Liu
State Key Laboratory of Earth Surface Processes and Hazards Risk Governance, Faculty of Geographical Science, Beijing Normal University, Beijing 100101, China
Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
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Total article views: 3,334 (including HTML, PDF, and XML)
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Cited
9 citations as recorded by crossref.
- Compound drought–heatwave events reduce ecosystem carbon use efficiency in alpine meadow and wetland on the Tibetan Plateau X. Liu et al. https://doi.org/10.1016/j.catena.2026.110010
- All-sky hourly estimation over East Asia using Himawari-8 AHI and multi-source data: investigating the main climatic drivers of afternoon depression and intraday variability in gross primary productivity S. Bae et al. https://doi.org/10.1080/15481603.2025.2609352
- Evaluation of Gross Primary Production Models of Varying Complexity Using a Three-Dimensional Forest Simulation Framework S. Zhao et al. https://doi.org/10.3390/rs18070983
- A global 0.05° gross primary production dataset from 2001 to 2024 generated using a hybrid LSTM framework S. Chen et al. https://doi.org/10.1038/s41597-026-07046-0
- Global carbon flux dataset generated by fusing remote sensing and multiple flux networks observation Q. Yuan et al. https://doi.org/10.1038/s41597-025-05672-8
- Integrating flux footprint, random forest, and SHAP for interpretable hourly carbon flux upscaling: Development and application in the Qilian mountains watershed J. An et al. https://doi.org/10.1016/j.srs.2026.100393
- Dynamic parameterization of Priestley–Taylor coefficient for a more accurate potential evapotranspiration estimation in ungauged regions P. Raghav & M. Kumar https://doi.org/10.1088/1748-9326/ae6464
- A geo-prediction model for estimating global terrestrial net ecosystem productivity based on the third law of geography Q. Han et al. https://doi.org/10.1016/j.ecoinf.2026.103844
- Diurnal Dynamics of Vegetation Photosynthesis Under Drought Stress in the Qilian Mountains M. Guo & J. Wu https://doi.org/10.1109/JSTARS.2025.3638905
9 citations as recorded by crossref.
- Compound drought–heatwave events reduce ecosystem carbon use efficiency in alpine meadow and wetland on the Tibetan Plateau X. Liu et al. https://doi.org/10.1016/j.catena.2026.110010
- All-sky hourly estimation over East Asia using Himawari-8 AHI and multi-source data: investigating the main climatic drivers of afternoon depression and intraday variability in gross primary productivity S. Bae et al. https://doi.org/10.1080/15481603.2025.2609352
- Evaluation of Gross Primary Production Models of Varying Complexity Using a Three-Dimensional Forest Simulation Framework S. Zhao et al. https://doi.org/10.3390/rs18070983
- A global 0.05° gross primary production dataset from 2001 to 2024 generated using a hybrid LSTM framework S. Chen et al. https://doi.org/10.1038/s41597-026-07046-0
- Global carbon flux dataset generated by fusing remote sensing and multiple flux networks observation Q. Yuan et al. https://doi.org/10.1038/s41597-025-05672-8
- Integrating flux footprint, random forest, and SHAP for interpretable hourly carbon flux upscaling: Development and application in the Qilian mountains watershed J. An et al. https://doi.org/10.1016/j.srs.2026.100393
- Dynamic parameterization of Priestley–Taylor coefficient for a more accurate potential evapotranspiration estimation in ungauged regions P. Raghav & M. Kumar https://doi.org/10.1088/1748-9326/ae6464
- A geo-prediction model for estimating global terrestrial net ecosystem productivity based on the third law of geography Q. Han et al. https://doi.org/10.1016/j.ecoinf.2026.103844
- Diurnal Dynamics of Vegetation Photosynthesis Under Drought Stress in the Qilian Mountains M. Guo & J. Wu https://doi.org/10.1109/JSTARS.2025.3638905
Saved (final revised paper)
Latest update: 31 May 2026
Short summary
In this study, carbon flux and auxiliary meteorological data are post-processed to create an analysis-ready dataset for 34 sites across six ecosystems in the Heihe River basin. Overall, 18 sites have multi-year observations, while 16 were observed only during the 2012 growing season, totaling 1513 site months. This dataset can be used to explore carbon exchange, assess ecosystem responses to climate change, support upscaling studies, and evaluate carbon cycle models.
In this study, carbon flux and auxiliary meteorological data are post-processed to create an...
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