Articles | Volume 16, issue 16
https://doi.org/10.5194/bg-16-3113-2019
https://doi.org/10.5194/bg-16-3113-2019
Research article
 | 
19 Aug 2019
Research article |  | 19 Aug 2019

Quantifying the impact of emission outbursts and non-stationary flow on eddy-covariance CH4 flux measurements using wavelet techniques

Mathias Göckede, Fanny Kittler, and Carsten Schaller

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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 Atmospheric Sciences, Springer, The Netherlands, 438 pp., 2012. 
Baldocchi, D., Detto, M., Sonnentag, O., Verfaillie, J., Teh, Y. A., Silver, W., and Kelly, N. M.: The challenges of measuring methane fluxes and concentrations over a peatland pasture, Agr. Forest Meteorol., 153, 177–187, 2012. 
Collineau, S. and Brunet, Y.: Detection of turbulent coherent motions in a forest canopy part II: Time-scales and conditional averages, Bound.-Lay. Meteorol., 66, 49–73, 1993a. 
Collineau, S. and Brunet, Y.: Detection of turbulent coherent motions in a forest canopy part I: Wavelet analysis, Bound.-Lay. Meteorol., 65, 357–379, 1993b. 
Corradi, C., Kolle, O., Walter, K., Zimov, S. A., and Schulze, E. D.: Carbon dioxide and methane exchange of a north-east Siberian tussock tundra, Glob. Change Biol., 11, 1910–1925, 2005. 
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Short summary
Methane is one of the most important greenhouse gases. Methane emissions from land sources to the atmosphere often occur in the form of short but intense outbursts, which are difficult to measure. We developed a new software tool based on wavelets which reliably quantifies such methane outbursts. Using these results as a reference, our study shows that regular data processing using the eddy-covariance technique provides solid long-term methane budgets, but short-term uncertainties can be high.
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