Articles | Volume 11, issue 3
https://doi.org/10.5194/essd-11-1411-2019
© 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/essd-11-1411-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global atmospheric carbon monoxide budget 2000–2017 inferred from multi-species atmospheric inversions
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, France
Frederic Chevallier
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, France
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, France
Audrey Fortems-Cheiney
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, France
Merritt N. Deeter
Atmospheric Chemistry Observations and Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
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
Yilong Wang
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, France
Helen M. Worden
Atmospheric Chemistry Observations and Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Yuanhong Zhao
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, France
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Latest update: 20 Nov 2024
Short summary
We use a multi-species atmospheric Bayesian inversion approach to attribute satellite-observed atmospheric carbon monoxide (CO) variations to its sources and sinks in order to achieve a full closure of the global CO budget during 2000–2017. We identify a declining trend in the global CO budget since 2000, driven by reduced anthropogenic emissions in the US, Europe, and China, as well as by reduced biomass burning emissions globally, especially in equatorial Africa.
We use a multi-species atmospheric Bayesian inversion approach to attribute satellite-observed...
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