Articles | Volume 10, issue 3
Atmos. Meas. Tech., 10, 869–880, 2017
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.
Atmos. Meas. Tech., 10, 869–880, 2017
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 et al.
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Cited
17 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
- 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 CH<sub>4</sub> flux measurements using wavelet techniques M. Göckede et al. 10.5194/bg-16-3113-2019
- 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
- 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
- Spatiotemporal characteristics of droughts and floods in northeastern China and their impacts on agriculture Q. Fu et al. 10.1007/s00477-018-1543-z
- 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
- 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
- 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
- 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
- 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
- Intermittent Surface Renewals and Methane Hotspots in Natural Peatlands E. Zorzetto et al. 10.1007/s10546-021-00637-x
- Partitioning Eddy-Covariance Methane Fluxes from a Shallow Lake into Diffusive and Ebullitive Fluxes H. Iwata et al. 10.1007/s10546-018-0383-1
17 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
- 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 CH<sub>4</sub> flux measurements using wavelet techniques M. Göckede et al. 10.5194/bg-16-3113-2019
- 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
- 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
- Spatiotemporal characteristics of droughts and floods in northeastern China and their impacts on agriculture Q. Fu et al. 10.1007/s00477-018-1543-z
- 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
- 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
- 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
- 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
- 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
- Intermittent Surface Renewals and Methane Hotspots in Natural Peatlands E. Zorzetto et al. 10.1007/s10546-021-00637-x
- 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: 27 Jan 2022
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...
