Articles | Volume 16, issue 19
Atmos. Chem. Phys., 16, 12649–12666, 2016
https://doi.org/10.5194/acp-16-12649-2016
Atmos. Chem. Phys., 16, 12649–12666, 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 et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Zeli Tan on behalf of the Authors (16 Jul 2016)  Author's response
ED: Referee Nomination & Report Request started (31 Jul 2016) by Martin Heimann
RR by Anonymous Referee #1 (12 Aug 2016)
RR by Anonymous Referee #2 (15 Aug 2016)
ED: Reconsider after minor revisions (Editor review) (05 Sep 2016) by Martin Heimann
AR by Zeli Tan on behalf of the Authors (15 Sep 2016)  Author's response    Manuscript
ED: Publish as is (25 Sep 2016) by Martin Heimann
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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.
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