Articles | Volume 16, issue 21
https://doi.org/10.5194/acp-16-13465-2016
https://doi.org/10.5194/acp-16-13465-2016
Research article
 | 
01 Nov 2016
Research article |  | 01 Nov 2016

Network design for quantifying urban CO2 emissions: assessing trade-offs between precision and network density

Alexander J. Turner, Alexis A. Shusterman, Brian C. McDonald, Virginia Teige, Robert A. Harley, and Ronald C. Cohen

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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 Alexander Turner on behalf of the Authors (06 Sep 2016)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (13 Sep 2016) by Tim Butler
RR by Anonymous Referee #2 (04 Oct 2016)
ED: Reconsider after minor revisions (Editor review) (06 Oct 2016) by Tim Butler
AR by Alexander Turner on behalf of the Authors (07 Oct 2016)  Author's response   Manuscript 
ED: Publish as is (13 Oct 2016) by Tim Butler
AR by Alexander Turner on behalf of the Authors (18 Oct 2016)
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Short summary
Our paper investigates the ability of different types of observational networks to estimate urban CO2 emissions. We have quantified the trade-off between precision and network density for estimating urban greenhouse gas emissions. Our results show that different observing systems may fall into noise- or site-limited regimes where reducing the uncertainty in the estimated emissions is governed by a single factor.
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