Articles | Volume 10, issue 3
Atmos. Meas. Tech., 10, 869–880, 2017
Atmos. Meas. Tech., 10, 869–880, 2017
Research article
09 Mar 2017
Research article | 09 Mar 2017

Flux calculation of short turbulent events – comparison of three methods

Carsten Schaller et al.

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Revised manuscript accepted for AMT
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Cited articles

Antonia, R. A.: Conditional sampling in turbulence measurement, Annu. Rev. Fluid. Mech., 13, 131–56, 1981.
Aubinet, M., Vesala, T., and Papale, D. (Eds.): Eddy covariance: a practical guide to measurement and data analysis, Springer, Dordrecht, 2012.
Charuchittipan, D., Babel, W., Mauder, M., Leps, J.-P., and Foken, T.: Extension of the Averaging Time in Eddy-Covariance Measurements and Its Effect on the Energy Balance Closure, Bound.-Lay. Meteorol., 152, 303–327,, 2014.
Collineau, S. and Brunet, Y.: Detection of turbulent coherent motions in a forest canopy part I: Wavelet analysis, Bound.-Lay. Meteorol., 65, 357–379, 1993a.
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,, 1993b.
Short summary
The eddy covariance (EC) method allows for measuring and calculating vertical turbulent exchange fluxes between ecosystems and the atmosphere. It fails in non-steady-state flow conditions, e.g. in Arctic regions. Two alternative calculation methods, conditional sampling and wavelet analysis, were implemented and compared to EC. Wavelet analysis for allows calculating a trustworthy flux even in non-stationary times and offers new possibilities for exact flux calculation in difficult environments.