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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- Beef cattle methane emission estimation using the eddy covariance technique in combination with geolocation P. Dumortier et al. 10.1016/j.agrformet.2020.108249
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- 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
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- Quantifying the impact of emission outbursts and non-stationary flow on eddy-covariance CH<sub>4</sub> flux measurements using wavelet techniques M. Göckede et al. 10.5194/bg-16-3113-2019
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- 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
- Direct observations of NOxemissions 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: 23 Nov 2024
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...
