Articles | Volume 19, issue 23
https://doi.org/10.5194/acp-19-14721-2019
© 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-19-14721-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
11 Dec 2019
Research article | Highlight paper |
| 11 Dec 2019
| 11 Dec 2019
An increase in methane emissions from tropical Africa between 2010 and 2016 inferred from satellite data
School of GeoSciences, University of Edinburgh, Edinburgh,
UK
Paul I. Palmer
School of GeoSciences, University of Edinburgh, Edinburgh,
UK
National Centre for Earth Observation, University of
Edinburgh, Edinburgh, UK
Liang Feng
School of GeoSciences, University of Edinburgh, Edinburgh,
UK
National Centre for Earth Observation, University of
Edinburgh, Edinburgh, UK
Christopher M. Taylor
Centre for Ecology and Hydrology, Wallingford, UK
National Centre for Earth Observation, Wallingford, UK
Hartmut Boesch
Earth Observation Science, Department of Physics and Astronomy, University of Leicester, Leicester, UK
National Centre for Earth Observation, University of Leicester, Leicester, UK
Robert J. Parker
Earth Observation Science, Department of Physics and Astronomy, University of Leicester, Leicester, UK
National Centre for Earth Observation, University of Leicester, Leicester, UK
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- Using satellite data to identify the methane emission controls of South Sudan's wetlands S. Pandey et al. 10.5194/bg-18-557-2021
- Attribution of the 2020 surge in atmospheric methane by inverse analysis of GOSAT observations Z. Qu et al. 10.1088/1748-9326/ac8754
- Estimates of North African Methane Emissions from 2010 to 2017 Using GOSAT Observations L. Western et al. 10.1021/acs.estlett.1c00327
- Trends in atmospheric methane concentrations since 1990 were driven and modified by anthropogenic emissions R. Skeie et al. 10.1038/s43247-023-00969-1
- Provincial cattle carbon emissions from enteric fermentation and manure management in South Africa M. Tongwane & M. Moeletsi 10.1016/j.envres.2021.110833
- Rain-fed pulses of methane from East Africa during 2018–2019 contributed to atmospheric growth rate M. Lunt et al. 10.1088/1748-9326/abd8fa
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- Improving Representation of Tropical Wetland Methane Emissions With CYGNSS Inundation Maps C. Gerlein‐Safdi et al. 10.1029/2020GB006890
- Drivers and impacts of Eastern African rainfall variability P. Palmer et al. 10.1038/s43017-023-00397-x
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- RadWet: An Improved and Transferable Mapping of Open Water and Inundated Vegetation Using Sentinel-1 G. Oakes et al. 10.3390/rs15061705
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- Learning from the River Nile about engineering sustainable futures M. Muller 10.1680/jcien.20.00042
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- Hydroxyl Radical (OH) Response to Meteorological Forcing and Implication for the Methane Budget J. He et al. 10.1029/2021GL094140
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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
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- Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia J. Shaw et al. 10.1029/2021GB007261
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- Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al. 10.3390/atmos15040449
- Evaluation of wetland CH4in the Joint UK Land Environment Simulator (JULES) land surface model using satellite observations R. Parker et al. 10.5194/bg-19-5779-2022
- Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations R. Janardanan et al. 10.3390/rs12030375
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- Accounting for surface reflectance spectral features in TROPOMI methane retrievals A. Lorente et al. 10.5194/amt-16-1597-2023
- Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations Y. Zhang et al. 10.5194/acp-21-3643-2021
- Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. 10.1007/s00376-022-1434-6
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Discussed (final revised paper)
Latest update: 20 Nov 2024
Short summary
Using data from the GOSAT satellite between 2010 and 2016 and a Bayesian inversion approach, we estimate monthly emissions of methane from tropical Africa. We find an increase in methane emissions during this period, driven in part by rising emissions from South Sudan. Using ancillary data we attribute this short-term emissions rise to an increase in the extent of the Sudd wetlands driven by increased outflow from the East African lakes.
Using data from the GOSAT satellite between 2010 and 2016 and a Bayesian inversion approach, we...
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