Articles | Volume 26, issue 1
https://doi.org/10.5194/acp-26-547-2026
https://doi.org/10.5194/acp-26-547-2026
Research article
 | 
12 Jan 2026
Research article |  | 12 Jan 2026

Estimation of CO2 fluxes in the cities of Zurich and Paris using the ICON-ART CTDAS inverse modelling framework

Nikolai Ponomarev, Michael Steiner, Erik Koene, Pascal Rubli, Stuart Grange, Lionel Constantin, Michel Ramonet, Leslie David, Arash Hamzehloo, Lukas Emmenegger, and Dominik Brunner

Model code and software

ICON model release 2025.04 ICON Partnership https://doi.org/10.35089/wdcc/iconrelease2025.04

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Short summary
Urban inversions are gaining increasing attention, as cities are major contributors to anthropogenic emissions, making accurate emission estimates at this scale essential for supporting climate action plans and verifying reported emission reductions. We estimated carbon dioxide emissions in Zurich and Paris over one year by combining atmospheric observations with mesoscale model simulations. Our study shows how factors like city size, terrain, and measurement methods affect emission estimates.
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