Articles | Volume 19, issue 6
https://doi.org/10.5194/acp-19-3963-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-3963-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Mar 2019
Research article |
| 28 Mar 2019
| 28 Mar 2019
Emissions of methane in Europe inferred by total column measurements
Debra Wunch
CORRESPONDING AUTHOR
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Dylan B. A. Jones
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Geoffrey C. Toon
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Nicholas M. Deutscher
Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, New South Wales, Australia
Institute of Environmental Physics, University of Bremen, Germany
Frank Hase
Karlsruhe Institute of Technology, IMK-ASF, Karlsruhe, Germany
Justus Notholt
Institute of Environmental Physics, University of Bremen, Germany
Ralf Sussmann
Karlsruhe Institute of Technology, IMK-IFU, Garmisch-Partenkirchen, Germany
Thorsten Warneke
Institute of Environmental Physics, University of Bremen, Germany
Jeroen Kuenen
TNO Dept Climate, Air and Sustainability, Utrecht, the Netherlands
Hugo Denier van der Gon
TNO Dept Climate, Air and Sustainability, Utrecht, the Netherlands
Jenny A. Fisher
Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, New South Wales, Australia
Joannes D. Maasakkers
School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
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Cited
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- Dairy Methane Emissions in California's San Joaquin Valley Inferred With Ground‐Based Remote Sensing Observations in the Summer and Winter S. Heerah et al. 10.1029/2021JD034785
- Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al. 10.5194/gmd-16-6413-2023
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- Evaluation of two common source estimation measurement strategies using large-eddy simulation of plume dispersion under neutral atmospheric conditions A. Ražnjević et al. 10.5194/amt-15-3611-2022
- A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. 10.1080/16000889.2021.1914989
- Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
- Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part II: Results Using Optimal Error Statistics S. Voshtani et al. 10.3390/rs14020375
- The Facility Level and Area Methane Emissions inventory for the Greater Toronto Area (FLAME-GTA) N. Mostafavi Pak et al. 10.1016/j.atmosenv.2021.118319
- Analyzing Stellar Spectra for PRV by Accurate Modeling and Retrieval of Telluric Absorption Features K. Sung et al. 10.1088/1538-3873/ad830a
- Decreased Anthropogenic CO2 Emissions during the COVID-19 Pandemic Estimated from FTS and MAX-DOAS Measurements at Urban Beijing Z. Cai et al. 10.3390/rs13030517
- Regional CO emission estimated from ground-based remote sensing at Hefei site, China C. Shan et al. 10.1016/j.atmosres.2019.02.005
10 citations as recorded by crossref.
- Dairy Methane Emissions in California's San Joaquin Valley Inferred With Ground‐Based Remote Sensing Observations in the Summer and Winter S. Heerah et al. 10.1029/2021JD034785
- Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al. 10.5194/gmd-16-6413-2023
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- Evaluation of two common source estimation measurement strategies using large-eddy simulation of plume dispersion under neutral atmospheric conditions A. Ražnjević et al. 10.5194/amt-15-3611-2022
- A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. 10.1080/16000889.2021.1914989
- Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
- Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part II: Results Using Optimal Error Statistics S. Voshtani et al. 10.3390/rs14020375
- The Facility Level and Area Methane Emissions inventory for the Greater Toronto Area (FLAME-GTA) N. Mostafavi Pak et al. 10.1016/j.atmosenv.2021.118319
- Analyzing Stellar Spectra for PRV by Accurate Modeling and Retrieval of Telluric Absorption Features K. Sung et al. 10.1088/1538-3873/ad830a
- Decreased Anthropogenic CO2 Emissions during the COVID-19 Pandemic Estimated from FTS and MAX-DOAS Measurements at Urban Beijing Z. Cai et al. 10.3390/rs13030517
1 citations as recorded by crossref.
Latest update: 14 Dec 2024
Short summary
We used five atmospheric observatories in Europe measuring total column dry-air mole fractions of methane and carbon monoxide to infer methane emissions in the area between the observatories. We find that the methane emissions are overestimated by the state-of-the-art inventories, and that this is likely due, at least in part, to the inventory disaggregation. We find that there is significant uncertainty in the carbon monoxide inventories that requires further investigation.
We used five atmospheric observatories in Europe measuring total column dry-air mole fractions...
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