Articles | Volume 20, issue 21
https://doi.org/10.5194/acp-20-13041-2020
© Author(s) 2020. 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-20-13041-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Nov 2020
Research article |
| 07 Nov 2020
| 07 Nov 2020
Quantifying sources of Brazil's CH4 emissions between 2010 and 2018 from satellite data
Rachel L. Tunnicliffe
CORRESPONDING AUTHOR
School of Geographical Sciences, University of Bristol, Bristol, UK
School of Chemistry, University of Bristol, Bristol, UK
Anita L. Ganesan
School of Geographical Sciences, University of Bristol, Bristol, UK
Robert J. Parker
National Centre for Earth Observation, University of Leicester, Leicester, UK
Earth Observation Science, School of Physics and Astronomy, University of Leicester, Leicester, UK
Hartmut Boesch
National Centre for Earth Observation, University of Leicester, Leicester, UK
Earth Observation Science, School of Physics and Astronomy, University of Leicester, Leicester, UK
Nicola Gedney
Met Office Hadley Centre, Joint Centre for Hydrometeorological Research, Exeter, UK
Benjamin Poulter
NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, USA
Zhen Zhang
Department of Geographical Sciences, University of Maryland, College Park, USA
Jošt V. Lavrič
Max Planck Institute for Biogeochemistry, Jena, Germany
David Walter
Max Planck Institute for Biogeochemistry, Jena, Germany
Max Planck Institute for Chemistry, Mainz, Germany
Matthew Rigby
School of Chemistry, University of Bristol, Bristol, UK
Stephan Henne
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Dickon Young
School of Chemistry, University of Bristol, Bristol, UK
Simon O'Doherty
School of Chemistry, University of Bristol, Bristol, UK
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Cited
18 citations as recorded by crossref.
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- Atmospheric methane and nitrous oxide: challenges alongthe path to Net Zero E. Nisbet et al. 10.1098/rsta.2020.0457
- Large and increasing methane emissions from eastern Amazonia derived from satellite data, 2010–2018 C. Wilson et al. 10.5194/acp-21-10643-2021
- Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia J. Shaw et al. 10.1029/2021GB007261
- Trends in atmospheric methane concentrations since 1990 were driven and modified by anthropogenic emissions R. Skeie et al. 10.1038/s43247-023-00969-1
- Spatiotemporal analysis of atmospheric XCH4 as related to fires in the Amazon biome during 2015–2020 L. de Souza Maria et al. 10.1016/j.rsase.2023.100967
- Country-level methane emissions and their sectoral trends during 2009–2020 estimated by high-resolution inversion of GOSAT and surface observations R. Janardanan et al. 10.1088/1748-9326/ad2436
- Spatial-temporal variability of methane fluxes in lakes varying in latitude, area, and depth L. Li & B. Xue 10.1016/j.heliyon.2023.e18411
- Estimating 2010–2015 anthropogenic and natural methane emissions in Canada using ECCC surface and GOSAT satellite observations S. Baray et al. 10.5194/acp-21-18101-2021
- Using satellite data to identify the methane emission controls of South Sudan's wetlands S. Pandey et al. 10.5194/bg-18-557-2021
- δ 13 C methane source signatures from tropical wetland and rice field emissions J. France et al. 10.1098/rsta.2020.0449
- A decade of GOSAT Proxy satellite CH<sub>4</sub> observations R. Parker et al. 10.5194/essd-12-3383-2020
- Estimates of North African Methane Emissions from 2010 to 2017 Using GOSAT Observations L. Western et al. 10.1021/acs.estlett.1c00327
- Large Methane Emissions From the Pantanal During Rising Water‐Levels Revealed by Regularly Measured Lower Troposphere CH4 Profiles M. Gloor et al. 10.1029/2021GB006964
- Amazon methane budget derived from multi-year airborne observations highlights regional variations in emissions L. Basso et al. 10.1038/s43247-021-00314-4
- 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
- Challenges Regionalizing Methane Emissions Using Aquatic Environments in the Amazon Basin as Examples J. Melack et al. 10.3389/fenvs.2022.866082
- Sustained methane emissions from China after 2012 despite declining coal production and rice-cultivated area J. Sheng et al. 10.1088/1748-9326/ac24d1
17 citations as recorded by crossref.
- Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Z. Deng et al. 10.5194/essd-14-1639-2022
- Atmospheric methane and nitrous oxide: challenges alongthe path to Net Zero E. Nisbet et al. 10.1098/rsta.2020.0457
- Large and increasing methane emissions from eastern Amazonia derived from satellite data, 2010–2018 C. Wilson et al. 10.5194/acp-21-10643-2021
- Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia J. Shaw et al. 10.1029/2021GB007261
- Trends in atmospheric methane concentrations since 1990 were driven and modified by anthropogenic emissions R. Skeie et al. 10.1038/s43247-023-00969-1
- Spatiotemporal analysis of atmospheric XCH4 as related to fires in the Amazon biome during 2015–2020 L. de Souza Maria et al. 10.1016/j.rsase.2023.100967
- Country-level methane emissions and their sectoral trends during 2009–2020 estimated by high-resolution inversion of GOSAT and surface observations R. Janardanan et al. 10.1088/1748-9326/ad2436
- Spatial-temporal variability of methane fluxes in lakes varying in latitude, area, and depth L. Li & B. Xue 10.1016/j.heliyon.2023.e18411
- Estimating 2010–2015 anthropogenic and natural methane emissions in Canada using ECCC surface and GOSAT satellite observations S. Baray et al. 10.5194/acp-21-18101-2021
- Using satellite data to identify the methane emission controls of South Sudan's wetlands S. Pandey et al. 10.5194/bg-18-557-2021
- δ 13 C methane source signatures from tropical wetland and rice field emissions J. France et al. 10.1098/rsta.2020.0449
- A decade of GOSAT Proxy satellite CH<sub>4</sub> observations R. Parker et al. 10.5194/essd-12-3383-2020
- Estimates of North African Methane Emissions from 2010 to 2017 Using GOSAT Observations L. Western et al. 10.1021/acs.estlett.1c00327
- Large Methane Emissions From the Pantanal During Rising Water‐Levels Revealed by Regularly Measured Lower Troposphere CH4 Profiles M. Gloor et al. 10.1029/2021GB006964
- Amazon methane budget derived from multi-year airborne observations highlights regional variations in emissions L. Basso et al. 10.1038/s43247-021-00314-4
- 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
- Challenges Regionalizing Methane Emissions Using Aquatic Environments in the Amazon Basin as Examples J. Melack et al. 10.3389/fenvs.2022.866082
Latest update: 13 Dec 2024
Short summary
This study quantifies Brazil’s emissions of a potent atmospheric greenhouse gas, methane. This is in the field of atmospheric modelling and uses remotely sensed data and surface measurements of methane concentrations as well as an atmospheric transport model to interpret the data. Because of Brazil’s large emissions from wetlands, agriculture and biomass burning, these emissions affect global methane concentrations and thus are of global significance.
This study quantifies Brazil’s emissions of a potent atmospheric greenhouse gas, methane. This...
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