Articles | Volume 16, issue 19
https://doi.org/10.5194/acp-16-12649-2016
https://doi.org/10.5194/acp-16-12649-2016
Research article
 | 
12 Oct 2016
Research article |  | 12 Oct 2016

Inverse modeling of pan-Arctic methane emissions at high spatial resolution: what can we learn from assimilating satellite retrievals and using different process-based wetland and lake biogeochemical models?

Zeli Tan, Qianlai Zhuang, Daven K. Henze, Christian Frankenberg, Ed Dlugokencky, Colm Sweeney, Alexander J. Turner, Motoki Sasakawa, and Toshinobu Machida

Viewed

Total article views: 3,686 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,511 1,032 143 3,686 620 87 111
  • HTML: 2,511
  • PDF: 1,032
  • XML: 143
  • Total: 3,686
  • Supplement: 620
  • BibTeX: 87
  • EndNote: 111
Views and downloads (calculated since 18 Nov 2015)
Cumulative views and downloads (calculated since 18 Nov 2015)

Cited

Saved (preprint)

Latest update: 23 Apr 2024
Download
Short summary
Methane emissions from the pan-Arctic could be important in understanding the global carbon cycle but are still poorly constrained to date. This study demonstrated that satellite retrievals can be used to reduce the uncertainty of the estimates of these emissions. We also provided additional evidence for the existence of large methane emissions from pan-Arctic lakes in the Siberian yedoma permafrost region. We found that biogeochemical models should be improved for better estimates.
Altmetrics
Final-revised paper
Preprint