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Net fluxes of carbon dioxide at the ecosystem level measured by eddy covariance are a main source for understanding biosphere–atmosphere interactions. However, there is a need for more usable and extensible tools for post-processing steps of the half-hourly flux data. Therefore, we developed the REddyProc package, providing data filtering, gap filling, and flux partitioning. The extensible functions are compatible with state-of-the-art tools but allow easier integration in extended analysis.
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Articles | Volume 15, issue 16
Biogeosciences, 15, 5015–5030, 2018
https://doi.org/10.5194/bg-15-5015-2018
Biogeosciences, 15, 5015–5030, 2018
https://doi.org/10.5194/bg-15-5015-2018

Research article 23 Aug 2018

Research article | 23 Aug 2018

Basic and extensible post-processing of eddy covariance flux data with REddyProc

Thomas Wutzler et al.

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Cited articles

Aubinet, M., Vesala, T., and Papale, D. (Eds.): Eddy Covariance, Springer, the Netherlands, https://doi.org/10.1007/978-94-007-2351-1, 2012.
Baldocchi, D., Chu, H., and Reichstein, M.: Inter-annual variability of net and gross ecosystem carbon fluxes: A review, Agr. Forest Meteorol., 249, 520–533, https://doi.org/10.1016/j.agrformet.2017.05.015, 2017.
Barr, A., Richardson, A., Hollinger, D., Papale, D., Arain, M., Black, T., Bohrer, G., Dragoni, D., Fischer, M., Gu, L., Law, B. E., Margolis, H. A., McCaughey, J. H., Munger, J. W., Oechel, W., and Schaeffer, K.: Use of change-point detection for friction–velocity threshold evaluation in eddy-covariance studies, Agr. Forest Meteorol., 171, 31–45, https://doi.org/10.1016/j.agrformet.2012.11.023, 2013.
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Short summary
Net fluxes of carbon dioxide at the ecosystem level measured by eddy covariance are a main source for understanding biosphere–atmosphere interactions. However, there is a need for more usable and extensible tools for post-processing steps of the half-hourly flux data. Therefore, we developed the REddyProc package, providing data filtering, gap filling, and flux partitioning. The extensible functions are compatible with state-of-the-art tools but allow easier integration in extended analysis.
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