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
Data sets
History of chemically and radiatively important atmospheric gases from the Advanced Global Atmospheric Gases Experiment (AGAGE) R. Prinn, R. Weiss, J. Arduini, T. Arnold, H. DeWitt, P. Fraser, A. Ganesan, J. Gasore, C. Harth, O. Hermansen, J. Kim, P. Krummel, S. Li, Z. Loh, C. Lunder, M. Maione, A. Manning, B. Miller, B. Mitrevski, J. Muhle, S. O'Doherty, S. Park, S. Reimann, M. Rigby, T. Saito, P. Salameh, R. Schmidt, P. Simmonds, L. Steele, M. Vollmer, H. J. Wang, B. Yao, Y. Yokouchi, D. Young, and L. Zhou https://doi.org/10.3334/CDIAC/ATG.DB1001
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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