Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 9
Articles | Volume 17, issue 9
https://doi.org/10.5194/amt-17-2649-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-2649-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 9
Research article
 | 
07 May 2024
Research article |  | 07 May 2024

Intercomparison of eddy-covariance software for urban tall-tower sites

Changxing Lan, Matthias Mauder, Stavros Stagakis, Benjamin Loubet, Claudio D'Onofrio, Stefan Metzger, David Durden, and Pedro-Henrique Herig-Coimbra

Data sets

ICOS Cities data portal ICOS Cities https://citydata.icos-cp.eu/portal/

Model code and software

Eddy-Covariance Software TK3 Matthias Mauder and Thomas Foken https://doi.org/10.5281/zenodo.20349

EddyPro® 7 Software LI-COR, Inc. https://www.licor.com/env/support/EddyPro/software.html

eddy4R 0.2.0: a DevOps model for community-extensible processing and analysis of eddy-covariance data based on R, Git, Docker, and HDF5 (https://github.com/NEONScience/eddy4R) Stefan Metzger et al. https://doi.org/10.5194/gmd-10-3189-2017

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Short summary
Using eddy-covariance systems deployed in three cities, we aimed to elucidate the sources of discrepancies in flux estimations from different software packages. One crucial finding is the impact of low-frequency spectral loss corrections on tall-tower flux estimations. Our findings emphasize the significance of a standardized measurement setup and consistent postprocessing configurations in minimizing the systematic flux uncertainty resulting from the usage of different software packages.
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