Articles | Volume 15, issue 24
Atmos. Chem. Phys., 15, 14055–14069, 2015
https://doi.org/10.5194/acp-15-14055-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 15, 14055–14069, 2015
https://doi.org/10.5194/acp-15-14055-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
21 Dec 2015
Research article
| 21 Dec 2015
Validation of farm-scale methane emissions using nocturnal boundary layer budgets
J. Stieger et al.
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Cited
16 citations as recorded by crossref.
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- Lightweight mid-infrared methane sensor for unmanned aerial systems L. Golston et al. 10.1007/s00340-017-6735-6
- Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
- Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling S. Henne et al. 10.5194/acp-16-3683-2016
- Isotopic signatures of major methane sources in the coal seam gas fields and adjacent agricultural districts, Queensland, Australia X. Lu et al. 10.5194/acp-21-10527-2021
- Estimation of greenhouse gas emission factors based on observed covariance of CO2, CH4, N2O and CO mole fractions L. Haszpra et al. 10.1186/s12302-019-0277-y
- Inversion Climatology in High-Production Agricultural Regions of Missouri and Implications for Pesticide Applications M. Bish et al. 10.1175/JAMC-D-18-0264.1
- Measurement of carbon dioxide flux from tropical peatland in Indonesia using the nocturnal temperature-inversion trap method W. Iriana et al. 10.1088/1748-9326/11/9/095011
- Comparing methane emissions estimated using a backward-Lagrangian stochastic model and the eddy covariance technique in a beef cattle feedlot P. Prajapati & E. Santos 10.1016/j.agrformet.2018.04.003
- Simultaneous multicopter-based air sampling and sensing of meteorological variables C. Brosy et al. 10.5194/amt-10-2773-2017
- Source partitioning of atmospheric methane using stable carbon isotope measurements in the Reuss Valley, Switzerland J. Stieger et al. 10.1080/10256016.2018.1561448
- Estimating Herd‐Scale Methane Emissions from Cattle in a Feedlot Using Eddy Covariance Measurements and the Carbon Dioxide Tracer Method P. Prajapati & E. Santos 10.2134/jeq2018.09.0332
- Social cost of methane: Method and estimates for Indian livestock S. Kumari et al. 10.1016/j.envdev.2019.100462
- The role of dew and radiation fog inputs in the local water cycling of a temperate grassland during dry spells in central Europe Y. Li et al. 10.5194/hess-25-2617-2021
- A Near-Field Gaussian Plume Inversion Flux Quantification Method, Applied to Unmanned Aerial Vehicle Sampling A. Shah et al. 10.3390/atmos10070396
- Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling S. Henne et al. 10.5194/acpd-15-35417-2015
15 citations as recorded by crossref.
- Observations of Atmospheric Methane and Carbon Dioxide Mixing Ratios: Tall-Tower or Mountain-Top Stations? I. Bamberger et al. 10.1007/s10546-017-0236-3
- Lightweight mid-infrared methane sensor for unmanned aerial systems L. Golston et al. 10.1007/s00340-017-6735-6
- Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
- Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling S. Henne et al. 10.5194/acp-16-3683-2016
- Isotopic signatures of major methane sources in the coal seam gas fields and adjacent agricultural districts, Queensland, Australia X. Lu et al. 10.5194/acp-21-10527-2021
- Estimation of greenhouse gas emission factors based on observed covariance of CO2, CH4, N2O and CO mole fractions L. Haszpra et al. 10.1186/s12302-019-0277-y
- Inversion Climatology in High-Production Agricultural Regions of Missouri and Implications for Pesticide Applications M. Bish et al. 10.1175/JAMC-D-18-0264.1
- Measurement of carbon dioxide flux from tropical peatland in Indonesia using the nocturnal temperature-inversion trap method W. Iriana et al. 10.1088/1748-9326/11/9/095011
- Comparing methane emissions estimated using a backward-Lagrangian stochastic model and the eddy covariance technique in a beef cattle feedlot P. Prajapati & E. Santos 10.1016/j.agrformet.2018.04.003
- Simultaneous multicopter-based air sampling and sensing of meteorological variables C. Brosy et al. 10.5194/amt-10-2773-2017
- Source partitioning of atmospheric methane using stable carbon isotope measurements in the Reuss Valley, Switzerland J. Stieger et al. 10.1080/10256016.2018.1561448
- Estimating Herd‐Scale Methane Emissions from Cattle in a Feedlot Using Eddy Covariance Measurements and the Carbon Dioxide Tracer Method P. Prajapati & E. Santos 10.2134/jeq2018.09.0332
- Social cost of methane: Method and estimates for Indian livestock S. Kumari et al. 10.1016/j.envdev.2019.100462
- The role of dew and radiation fog inputs in the local water cycling of a temperate grassland during dry spells in central Europe Y. Li et al. 10.5194/hess-25-2617-2021
- A Near-Field Gaussian Plume Inversion Flux Quantification Method, Applied to Unmanned Aerial Vehicle Sampling A. Shah et al. 10.3390/atmos10070396
1 citations as recorded by crossref.
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Latest update: 21 May 2022
Short summary
At night, concentrations of methane and other trace gases in the near-surface atmosphere increase due to limited turbulent mixing and confluence of cold air from valley slopes towards the valley bottom. Here we used a tethered balloon sounding system to obtain time-height profiles of methane concentrations from which we compute methane emissions. These flux estimates serve as the first experimental validation of Swiss agricultural methane emissions at the farm scale.
At night, concentrations of methane and other trace gases in the near-surface atmosphere...
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