Articles | Volume 18, issue 7
Atmos. Chem. Phys., 18, 4765–4801, 2018
https://doi.org/10.5194/acp-18-4765-2018
Atmos. Chem. Phys., 18, 4765–4801, 2018
https://doi.org/10.5194/acp-18-4765-2018

Research article 09 Apr 2018

Research article | 09 Apr 2018

Estimates of CO2 fluxes over the city of Cape Town, South Africa, through Bayesian inverse modelling

Alecia Nickless et al.

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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 Alecia Nickless on behalf of the Authors (12 Jan 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (20 Jan 2018) by Martin Heimann
RR by Anonymous Referee #2 (06 Feb 2018)
RR by Anonymous Referee #3 (14 Feb 2018)
ED: Publish subject to minor revisions (review by editor) (15 Feb 2018) by Martin Heimann
AR by Alecia Nickless on behalf of the Authors (25 Feb 2018)  Author's response    Manuscript
ED: Publish as is (07 Mar 2018) by Martin Heimann
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Short summary
Carbon dioxide emissions and uptake were estimated for Cape Town, South Africa. We placed two high-precision analysers in lighthouses located on either end of Cape Town (Robben Island and Hangklip). The Cape Point GAW station provided background measurements. We were able to improve the agreement between modelled and observed concentrations, relative to initial estimates provided. This methodology could potentially be scaled up to provide monitoring and verification of city emissions.
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