Articles | Volume 26, issue 1
https://doi.org/10.5194/acp-26-547-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
12 Jan 2026
Research article |
| 12 Jan 2026
| 12 Jan 2026
Estimation of CO2 fluxes in the cities of Zurich and Paris using the ICON-ART CTDAS inverse modelling framework
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- Final revised paper (published on 12 Jan 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 15 Sep 2025)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on egusphere-2025-3668', Anonymous Referee #1, 06 Oct 2025
- AC1: 'Reply on RC1', Nikolai Ponomarev, 14 Oct 2025
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RC2: 'Comment on egusphere-2025-3668', Anonymous Referee #2, 17 Oct 2025
- AC2: 'Reply on RC2', Nikolai Ponomarev, 26 Nov 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Nikolai Ponomarev on behalf of the Authors (28 Nov 2025)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (03 Dec 2025) by Tanja Schuck
AR by Nikolai Ponomarev on behalf of the Authors (04 Dec 2025)
The manuscript titled “Estimation of CO₂ fluxes in the cities of Zurich and Paris using the ICON-ART CTDAS inverse modelling framework” is a comprehensive paper presenting a sophisticated inverse modelling study using the ICON-ART CTDAS framework to estimate urban CO₂ fluxes in Zurich and Paris. The topic is highly relevant for the ICOS Cities project and for ongoing efforts to develop observation-based methods for tracking urban greenhouse gas emissions. The manuscript is clearly structured, methodologically sound, and rich in technical detail. It contributes significantly to advancing urban-scale inverse modelling capabilities in Europe.
Minor comments:
Figures8–11:
It would be good to add shaded bands for one-sigma uncertainty to help visualize the posterior improvement. Label axes clearly with units.
Sect.3.1.2:
The text could benefit from a concise comparison of model–observation statistics before and after inversion in a summary table.
Technical comments
The manuscript is generally well written. A few sentences in Sect 4 are lengthy and could be split for clarity (especially around lines 440–460).
The paper is of high quality and well suited for publication in Atmospheric Chemistry and Physics. The work provides a valuable contribution to the ICOS Cities program and to the development of urban CO₂ inversion systems using mesoscale models.