Articles | Volume 16, issue 12
Atmos. Chem. Phys., 16, 7743–7771, 2016
https://doi.org/10.5194/acp-16-7743-2016
Atmos. Chem. Phys., 16, 7743–7771, 2016
https://doi.org/10.5194/acp-16-7743-2016

Research article 24 Jun 2016

Research article | 24 Jun 2016

What would dense atmospheric observation networks bring to the quantification of city CO2 emissions?

Lin Wu et al.

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Lin Wu on behalf of the Authors (26 Apr 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Apr 2016) by Ronald Cohen
RR by Anonymous Referee #1 (09 May 2016)
RR by Anonymous Referee #5 (20 May 2016)
ED: Publish subject to technical corrections (21 May 2016) by Ronald Cohen
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Short summary
This paper advances atmospheric inversion of city CO2 emissions as follows: (1) illustrate how inversion methodology can be tailored to deal with very large urban networks of sensors measuring CO2 concentrations; (2) demonstrate that atmospheric inversion could be a relevant tool of Monitoring, Reporting and Verification (MRV) of city CO2 emissions; (3) clarify the theoretical potential of inversion for reducing uncertainties in the estimates of citywide total and sectoral CO2 emissions.
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