Articles | Volume 17, issue 9
https://doi.org/10.5194/amt-17-2649-2024
https://doi.org/10.5194/amt-17-2649-2024
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

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Cited articles

Aubinet, M., Vesala, T., and Papale, D. (Eds.): Eddy covariance: a practical guide to measurement and data analysis, Springer Science and Business Media, ISBN 978-94-007-2350-4, 2012. 
Biraud, S. and Chen, J.: Eddy Covariance Measurements in Urban Environments, White paper, AmeriFlux Urban Fluxes ad hoc committee, https://ameriflux.lbl.gov/wp-content/uploads/2021/09/EC-in-Urban-Environment-2021-07-31-Final.pdf (last access: 3 May 2024), 2021. 
Brock, F. V.: A nonlinear filter to remove impulse noise from meteorological data, J. Atmos. Ocean. Tech., 3, 51–58, https://doi.org/10.1175/1520-0426(1986)003<0051:ANFTRI>2.0.CO;2, 1986. 
C-40: C40 Cities, C-40 Cities Leadership Group, https://www.c40.org/ (last access: 2 May 2024), 2022. 
Cheng, X. L., Liu, X. M., Liu, Y. J., and Hu, F.: Characteristics of CO2 concentration and flux in the Beijing urban area, Geophys. Res. Atmos., 123, 1785–1801, https://doi.org/10.1002/2017JD027409, 2018. 
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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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