Articles | Volume 19, issue 12
https://doi.org/10.5194/gmd-19-5237-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-5237-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Application of flux footprint equations from Kljun et al. (2015) to field eddy-covariance systems for footprint characteristics into flux network datasets
Xinhua Zhou
Ker Laboratory, Qingyuan Forest CERN, National Observation and Research Station, Liaoning Province, Shenyang 110016, China
Global Science Program, Campbell Scientific Inc., Logan, UT 84321, USA
Zhi Chen
CORRESPONDING AUTHOR
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Ryan Campbell
Global Science Program, Campbell Scientific Inc., Logan, UT 84321, USA
Atefeh Hosseini
Global Science Program, Campbell Scientific Inc., Logan, UT 84321, USA
Ker Laboratory, Qingyuan Forest CERN, National Observation and Research Station, Liaoning Province, Shenyang 110016, China
Qingyuan Forest CERN, National Observation and Research Station, Liaoning Province, Shenyang 110016, China
Xiufen Li
Department of Agricultural Meteorology, Shenyang Agricultural University, Shenyang 110866, China
Jianmin Chu
Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou 015200, China
Sen Wu
Shenzhen Zray-Co Technology Co. Ltd., Shenzhen 518133, China
Ning Zheng
Shenzhen Zray-Co Technology Co. Ltd., Shenzhen 518133, China
Jiaojun Zhu
Ker Laboratory, Qingyuan Forest CERN, National Observation and Research Station, Liaoning Province, Shenyang 110016, China
Qingyuan Forest CERN, National Observation and Research Station, Liaoning Province, Shenyang 110016, China
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Short summary
To help environmental researchers better understand the sources of greenhouse gas measurements, we developed a practical method for field instruments to calculate the footprints. By using simplified math and efficient computing, our approach allows real-time analysis of measurement zones, which was previously too complex for on-site processing. This enables more accurate data collection worldwide, helping improve climate change monitoring and ecosystem studies.
To help environmental researchers better understand the sources of greenhouse gas measurements,...