Articles | Volume 11, issue 3
https://doi.org/10.5194/essd-11-1411-2019
https://doi.org/10.5194/essd-11-1411-2019
Data description paper
 | 
18 Sep 2019
Data description paper |  | 18 Sep 2019

Global atmospheric carbon monoxide budget 2000–2017 inferred from multi-species atmospheric inversions

Bo Zheng, Frederic Chevallier, Yi Yin, Philippe Ciais, Audrey Fortems-Cheiney, Merritt N. Deeter, Robert J. Parker, Yilong Wang, Helen M. Worden, and Yuanhong Zhao

Viewed

Total article views: 8,350 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
5,833 2,408 109 8,350 700 135 131
  • HTML: 5,833
  • PDF: 2,408
  • XML: 109
  • Total: 8,350
  • Supplement: 700
  • BibTeX: 135
  • EndNote: 131
Views and downloads (calculated since 09 May 2019)
Cumulative views and downloads (calculated since 09 May 2019)

Viewed (geographical distribution)

Total article views: 8,350 (including HTML, PDF, and XML) Thereof 7,344 with geography defined and 1,006 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2024
Download
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.
Altmetrics
Final-revised paper
Preprint