Articles | Volume 8, issue 11
Atmos. Meas. Tech., 8, 4785–4801, 2015
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.
Atmos. Meas. Tech., 8, 4785–4801, 2015
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
R. J. Parker et al.
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Cited
30 citations as recorded by crossref.
- Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al. 10.1016/j.rse.2016.12.027
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- Global distribution of methane emissions, emission trends, and OH concentrations and trends inferred from an inversion of GOSAT satellite data for 2010–2015 J. Maasakkers et al. 10.5194/acp-19-7859-2019
- Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
- Role of regional wetland emissions in atmospheric methane variability J. McNorton et al. 10.1002/2016GL070649
- Exploring constraints on a wetland methane emission ensemble (WetCHARTs) using GOSAT observations R. Parker et al. 10.5194/bg-17-5669-2020
- 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
- CH4concentrations over the Amazon from GOSAT consistent with in situ vertical profile data A. Webb et al. 10.1002/2016JD025263
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- A measurement-based verification framework for UK greenhouse gas emissions: an overview of the Greenhouse gAs Uk and Global Emissions (GAUGE) project P. Palmer et al. 10.5194/acp-18-11753-2018
- Attribution of recent increases in atmospheric methane through 3-D inverse modelling J. McNorton et al. 10.5194/acp-18-18149-2018
- 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
- Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. 10.1029/2018GB006065
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- Global inverse modeling of CH<sub>4</sub> sources and sinks: an overview of methods S. Houweling et al. 10.5194/acp-17-235-2017
- 2010–2016 methane trends over Canada, the United States, and Mexico observed by the GOSAT satellite: contributions from different source sectors J. Sheng et al. 10.5194/acp-18-12257-2018
- Global height-resolved methane retrievals from the Infrared Atmospheric Sounding Interferometer (IASI) on MetOp R. Siddans et al. 10.5194/amt-10-4135-2017
- Satellite-derived methane hotspot emission estimates using a fast data-driven method M. Buchwitz et al. 10.5194/acp-17-5751-2017
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- Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. 10.3390/rs12193155
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- Toward High Precision XCO 2 Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. 10.1029/2020JD032794
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- 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
- Comparison of Satellite-Observed XCO2 from GOSAT, OCO-2, and Ground-Based TCCON A. Liang et al. 10.3390/rs9101033
29 citations as recorded by crossref.
- Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al. 10.1016/j.rse.2016.12.027
- Consistent regional fluxes of CH<sub>4</sub> and CO<sub>2</sub> inferred from GOSAT proxy XCH<sub>4</sub> : XCO<sub>2</sub> retrievals, 2010–2014 L. Feng et al. 10.5194/acp-17-4781-2017
- Global distribution of methane emissions, emission trends, and OH concentrations and trends inferred from an inversion of GOSAT satellite data for 2010–2015 J. Maasakkers et al. 10.5194/acp-19-7859-2019
- Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
- Role of regional wetland emissions in atmospheric methane variability J. McNorton et al. 10.1002/2016GL070649
- Exploring constraints on a wetland methane emission ensemble (WetCHARTs) using GOSAT observations R. Parker et al. 10.5194/bg-17-5669-2020
- 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
- CH4concentrations over the Amazon from GOSAT consistent with in situ vertical profile data A. Webb et al. 10.1002/2016JD025263
- Quantifying sources of Brazil's CH<sub>4</sub> emissions between 2010 and 2018 from satellite data R. Tunnicliffe et al. 10.5194/acp-20-13041-2020
- A measurement-based verification framework for UK greenhouse gas emissions: an overview of the Greenhouse gAs Uk and Global Emissions (GAUGE) project P. Palmer et al. 10.5194/acp-18-11753-2018
- Attribution of recent increases in atmospheric methane through 3-D inverse modelling J. McNorton et al. 10.5194/acp-18-18149-2018
- 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
- Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. 10.1029/2018GB006065
- Satellite and ground-based measurements of XCO<sub>2</sub> in a remote semiarid region of Australia V. Velazco et al. 10.5194/essd-11-935-2019
- Reevaluating the Use of O 2 a 1 Δ g Band in Spaceborne Remote Sensing of Greenhouse Gases K. Sun et al. 10.1029/2018GL077823
- Information content analysis: the potential for methane isotopologue retrieval from GOSAT-2 E. Malina et al. 10.5194/amt-11-1159-2018
- Atmospheric CH<sub>4</sub> and CO<sub>2</sub> enhancements and biomass burning emission ratios derived from satellite observations of the 2015 Indonesian fire plumes R. Parker et al. 10.5194/acp-16-10111-2016
- Global inverse modeling of CH<sub>4</sub> sources and sinks: an overview of methods S. Houweling et al. 10.5194/acp-17-235-2017
- 2010–2016 methane trends over Canada, the United States, and Mexico observed by the GOSAT satellite: contributions from different source sectors J. Sheng et al. 10.5194/acp-18-12257-2018
- Global height-resolved methane retrievals from the Infrared Atmospheric Sounding Interferometer (IASI) on MetOp R. Siddans et al. 10.5194/amt-10-4135-2017
- Satellite-derived methane hotspot emission estimates using a fast data-driven method M. Buchwitz et al. 10.5194/acp-17-5751-2017
- Characterizing model errors in chemical transport modeling of methane: impact of model resolution in versions v9-02 of GEOS-Chem and v35j of its adjoint model I. Stanevich et al. 10.5194/gmd-13-3839-2020
- Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. 10.3390/rs12193155
- 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 XCO 2 Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. 10.1029/2020JD032794
- A decade of GOSAT Proxy satellite CH<sub>4</sub> observations R. Parker et al. 10.5194/essd-12-3383-2020
- A simple and quick sensitivity analysis method for methane isotopologues detection with GOSAT-TANSO-FTS E. Malina et al. 10.14324/111.444/ucloe.000013
- 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
1 citations as recorded by crossref.
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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...
