Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 17, issue 12
Articles | Volume 17, issue 12
https://doi.org/10.5194/acp-17-7405-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-17-7405-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 17, issue 12
Review article
 | 
20 Jun 2017
Review article |  | 20 Jun 2017

Diagnostic methods for atmospheric inversions of long-lived greenhouse gases

Anna M. Michalak, Nina A. Randazzo, and Frédéric Chevallier

Viewed

Total article views: 3,513 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,255 1,127 131 3,513 112 129
  • HTML: 2,255
  • PDF: 1,127
  • XML: 131
  • Total: 3,513
  • BibTeX: 112
  • EndNote: 129
Views and downloads (calculated since 15 Sep 2016)
Cumulative views and downloads (calculated since 15 Sep 2016)

Viewed (geographical distribution)

Total article views: 3,513 (including HTML, PDF, and XML) Thereof 3,498 with geography defined and 15 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Mar 2025
Download
Short summary
The use of inverse modeling for quantifying emissions of greenhouse gases is increasing. Estimates are very difficult to evaluate objectively, however, due to limited atmospheric observations and the lack of direct emissions measurements at compatible scales. Diagnostic tools have been proposed to partially circumvent these limitations. This paper presents the first systematic review of the scope and applicability of these tools for atmospheric inversions of long-lived greenhouse gases.
Read more
Share
Special issue
Data assimilation in carbon/biogeochemical cycles: consistent...
Altmetrics
Final-revised paper
Preprint