Application of flux footprint equations from Kljun  et al. (2015) to field eddy-covariance systems for  footprint characteristics into flux network datasets

Zhou, Xinhua; Chen, Zhi; Campbell, Ryan; Hosseini, Atefeh; Gao, Tian; Li, Xiufen; Chu, Jianmin; Wu, Sen; Zheng, Ning; Zhu, Jiaojun

doi:10.5194/gmd-19-5237-2026

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.

https://doi.org/10.5194/gmd-19-5237-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 12

Development and technical paper

|

19 Jun 2026

Development and technical paper |

| 19 Jun 2026

Application of flux footprint equations from Kljun et al. (2015) to field eddy-covariance systems for footprint characteristics into flux network datasets

Xinhua Zhou, Zhi Chen, Ryan Campbell, Atefeh Hosseini, Tian Gao, Xiufen Li, Jianmin Chu, Sen Wu, Ning Zheng, and Jiaojun Zhu

Data sets

The code and datasets related to Application of flux footprint equations from Kljun et al. (2015) to field eddy-covariance systems for footprint characteristics into flux network datasets Xinhua H. Zhou and Zhi Chen https://doi.org/10.5281/zenodo.18143076

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.