Articles | Volume 8, issue 11
https://doi.org/10.5194/amt-8-4785-2015
© Author(s) 2015. 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-8-4785-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Nov 2015
Research article |
| 17 Nov 2015
Assessing 5 years of GOSAT Proxy XCH4 data and associated uncertainties
Earth Observation Science, Department of Physics and Astronomy, University of Leicester, Leicester, UK
National Centre for Earth Observation, Department of Physics and Astronomy, University of Leicester, Leicester, UK
H. Boesch
Earth Observation Science, Department of Physics and Astronomy, University of Leicester, Leicester, UK
National Centre for Earth Observation, Department of Physics and Astronomy, University of Leicester, Leicester, UK
K. Byckling
Earth Observation Science, Department of Physics and Astronomy, University of Leicester, Leicester, UK
A. J. Webb
Earth Observation Science, Department of Physics and Astronomy, University of Leicester, Leicester, UK
P. I. Palmer
School of GeoSciences, University of Edinburgh, Edinburgh, UK
National Centre for Earth Observation, School of GeoSciences, University of Edinburgh, Edinburgh, UK
L. Feng
School of GeoSciences, University of Edinburgh, Edinburgh, UK
National Centre for Earth Observation, School of GeoSciences, University of Edinburgh, Edinburgh, UK
P. Bergamaschi
European Commission Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy
F. Chevallier
Lab. des Sciences du Climat et de l'Environnement, CNRS, Gif-sur-Yvette, France
J. Notholt
Institute of Environmental Physics, University of Bremen, Bremen, Germany
N. Deutscher
Institute of Environmental Physics, University of Bremen, Bremen, Germany
School of Chemistry, University of Wollongong, Wollongong, Australia
T. Warneke
Institute of Environmental Physics, University of Bremen, Bremen, Germany
F. Hase
Karlsruhe Institut für Technologie, Karlsruhe, Germany
R. Sussmann
Karlsruhe Institut für Technologie, Karlsruhe, Germany
S. Kawakami
Japan Aerospace Exploration Agency (JAXA), Tsukuba, Japan
Finnish Meteorological Institute, Arctic Research, Sodankylä, Finland
D. W. T. Griffith
School of Chemistry, University of Wollongong, Wollongong, Australia
V. Velazco
School of Chemistry, University of Wollongong, Wollongong, Australia
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- The added value of satellite observations of methane forunderstanding the contemporary methane budget P. Palmer et al. 10.1098/rsta.2021.0106
- Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH4 observations R. Parker et al. 10.1016/j.rse.2018.02.011
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- Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al. 10.5194/amt-17-5429-2024
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- Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
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- Inverse modeling of GOSAT-retrieved ratios of total column CH<sub>4</sub> and CO<sub>2</sub> for 2009 and 2010 S. Pandey et al. 10.5194/acp-16-5043-2016
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- 2010–2015 North American methane emissions, sectoral contributions, and trends: a high-resolution inversion of GOSAT observations of atmospheric methane J. Maasakkers et al. 10.5194/acp-21-4339-2021
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- East Asian methane emissions inferred from high-resolution inversions of GOSAT and TROPOMI observations: a comparative and evaluative analysis R. Liang et al. 10.5194/acp-23-8039-2023
- Reduced-cost construction of Jacobian matrices for high-resolution inversions of satellite observations of atmospheric composition H. Nesser et al. 10.5194/amt-14-5521-2021
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- An increase in methane emissions from tropical Africa between 2010 and 2016 inferred from satellite data M. Lunt et al. 10.5194/acp-19-14721-2019
- Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. 10.1029/2020JD032794
- Atmospheric observations show accurate reporting and little growth in India’s methane emissions A. Ganesan et al. 10.1038/s41467-017-00994-7
- Evaluation of column-averaged methane in models and TCCON with a focus on the stratosphere A. Ostler et al. 10.5194/amt-9-4843-2016
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Short summary
Atmospheric CH4 is an important greenhouse gas. Long-term global observations are necessary to understand its behaviour, with satellite observations playing a key role. The "proxy" retrieval method is one of the most successful but relies on the contribution from atmospheric CO2 models. This work assesses the significance of the uncertainty from the model CO2 within the retrieval and determines that despite this uncertainty the data are still valuable for determining sources and sinks of CH4.
Atmospheric CH4 is an important greenhouse gas. Long-term global observations are necessary to...
