Articles | Volume 10, issue 3
https://doi.org/10.5194/amt-10-869-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-869-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Mar 2017
Research article |
| 09 Mar 2017
Flux calculation of short turbulent events – comparison of three methods
Carsten Schaller
CORRESPONDING AUTHOR
University of Bayreuth, former Department of Micrometeorology, 95440 Bayreuth, Germany
Max-Planck-Institute for Biogeochemistry, Dept. Biogeochemical Systems, 07745 Jena, Germany
now at: University of Münster, Institute of Landscape Ecology, Climatology Group, Heisenbergstr. 2, 48149 Münster, Germany
Mathias Göckede
Max-Planck-Institute for Biogeochemistry, Dept. Biogeochemical Systems, 07745 Jena, Germany
Thomas Foken
University of Bayreuth, former Department of Micrometeorology, 95440 Bayreuth, Germany
University of Bayreuth, Bayreuth Center of Ecology and Environmental Research (BayCEER), 95440 Bayreuth, Germany
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31 citations as recorded by crossref.
- Carbon, water and energy fluxes in agricultural systems of Australia and New Zealand J. Cleverly et al. 10.1016/j.agrformet.2020.107934
- Aerosol particles during the Innsbruck Air Quality Study (INNAQS): The impact of transient fluxes on total aerosol number exchange L. von der Heyden et al. 10.1016/j.atmosenv.2018.07.041
- Evidence of Heating-Dominated Urban NOx Emissions S. Cliff et al. 10.1021/acs.est.4c13276
- Characterisation of short-term extreme methane fluxes related to non-turbulent mixing above an Arctic permafrost ecosystem C. Schaller et al. 10.5194/acp-19-4041-2019
- Modification of a Wavelet-Based Method for Detecting Ebullitive Methane Fluxes in Eddy-Covariance Observations: Application at Two Rice Fields W. Richardson et al. 10.1007/s10546-022-00703-y
- Investigating Fire–Atmosphere Interaction in a Forest Canopy Using Wavelets A. Desai et al. 10.1007/s10546-024-00862-0
- Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations O. Peltola et al. 10.5194/essd-11-1263-2019
- Multiresolution decomposition and wavelet analysis of urban aerosol fluxes in Italy and Austria M. Conte et al. 10.1016/j.atmosres.2020.105267
- Beef cattle methane emission estimation using the eddy covariance technique in combination with geolocation P. Dumortier et al. 10.1016/j.agrformet.2020.108249
- The measurement of mean wind, variances, and covariances from an instrumented mobile car in a rural environment S. Miller & M. Gordon 10.5194/amt-15-6563-2022
- Intermittent Surface Renewals and Methane Hotspots in Natural Peatlands E. Zorzetto et al. 10.1007/s10546-021-00637-x
- Measurement report: Airborne measurements of NOx fluxes over Los Angeles during the RECAP-CA 2021 campaign C. Nussbaumer et al. 10.5194/acp-23-13015-2023
- Estimating immediate post-fire carbon fluxes using the eddy-covariance technique B. Oliveira et al. 10.5194/bg-18-285-2021
- Effects of Climate Change on Cultivation Patterns and Climate Suitability of Spring Maize in Inner Mongolia X. Yang et al. 10.3390/su13148072
- Quantifying the impact of emission outbursts and non-stationary flow on eddy-covariance CH4 flux measurements using wavelet techniques M. Göckede et al. 10.5194/bg-16-3113-2019
- Spatiotemporal characteristics of droughts and floods in northeastern China and their impacts on agriculture Q. Fu et al. 10.1007/s00477-018-1543-z
- Airborne flux measurements of ammonia over the southern Great Plains using chemical ionization mass spectrometry S. Schobesberger et al. 10.5194/amt-16-247-2023
- Flux calculation of short turbulent events – comparison of three methods C. Schaller et al. 10.5194/amt-10-869-2017
- Decoupling Between the Atmosphere and the Underlying Surface During Stable Stratification T. Foken 10.1007/s10546-022-00746-1
- Quantifying the coastal urban surface layer structure using distributed temperature sensing in Helsinki, Finland S. Karttunen et al. 10.5194/amt-15-2417-2022
- Time series methods for the analysis of soundscapes and other cyclical ecological data N. Yoh et al. 10.1111/2041-210X.14361
- Assessing spatiotemporal characteristics of drought and its effects on climate-induced yield of maize in Northeast China Z. Zhou et al. 10.1016/j.jhydrol.2020.125097
- Estimating Turbulent Fluxes in the Tropical Andes M. Córdova et al. 10.3390/atmos11020213
- The NASA Carbon Airborne Flux Experiment (CARAFE): instrumentation and methodology G. Wolfe et al. 10.5194/amt-11-1757-2018
- On the Influence of Large-Scale Atmospheric Motions on Near-Surface Turbulence: Comparison Between Flows Over Low-Roughness and Tall Vegetation Canopies S. Dupont & E. Patton 10.1007/s10546-022-00710-z
- The ASK-16 motorized glider: an airborne eddy covariance platform to measure turbulence, energy, and matter fluxes I. Wiekenkamp et al. 10.5194/amt-18-749-2025
- Direct observations of NOx emissions over the San Joaquin Valley using airborne flux measurements during RECAP-CA 2021 field campaign Q. Zhu et al. 10.5194/acp-23-9669-2023
- Surface-atmosphere exchange in a box: Making the control volume a suitable representation for in-situ observations S. Metzger 10.1016/j.agrformet.2017.08.037
- Scaling of Dust Flux With Friction Velocity: Time Resolution Effects S. Dupont 10.1029/2019JD031192
- Quantitative Evaluation of Wavelet Analysis Method for Turbulent Flux Calculation of Non‐Stationary Series Y. Li et al. 10.1029/2022GL101591
- Partitioning Eddy-Covariance Methane Fluxes from a Shallow Lake into Diffusive and Ebullitive Fluxes H. Iwata et al. 10.1007/s10546-018-0383-1
Latest update: 24 Apr 2025
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.
The eddy covariance (EC) method allows for measuring and calculating vertical turbulent exchange...
