Articles | Volume 19, issue 14
https://doi.org/10.5194/gmd-19-6417-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-6417-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
17 Jul 2026
Model description paper |
| 17 Jul 2026
| 17 Jul 2026
A high-resolution urban CO2 transport model with anthropogenic and biogenic fluxes
Department of Earth Science and Engineering, Imperial College London, London, SW7 2AZ, UK
Jie Zheng
CORRESPONDING AUTHOR
Department of Earth Science and Engineering, Imperial College London, London, SW7 2AZ, UK
Fangxin Fang
Department of Earth Science and Engineering, Imperial College London, London, SW7 2AZ, UK
Related authors
No articles found.
Xiaofei Wu, Siyang Chen, Jinxi Li, Yu Zhang, Zifa Wang, Pu Gan, Jie Zheng, and Fangxin Fang
EGUsphere, https://doi.org/10.5194/egusphere-2026-1685, https://doi.org/10.5194/egusphere-2026-1685, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Short summary
Cities face a major challenge in tracking how wind and air pollution move through complex building clusters. Common numerical models often struggle to balance accuracy with calculating speed. We developed a new simulation system that automatically adjusts its focus to where the air is moving rapidly. By testing this against observations, it significantly improves predictions of wind and pollution. This tool helps urban planners design healthier cities by better identifying how pollutants travel.
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Short summary
Cities need better tools to understand where carbon dioxide comes from and how it moves through streets and green spaces. We developed a computer model that simulates carbon dioxide in cities at fine detail, including emissions from human activities and exchanges with vegetation. Tests in London and against independent observations showed that the model reproduces daily and seasonal patterns well. The results can help improve estimates of urban emissions and support climate action in cities.
Cities need better tools to understand where carbon dioxide comes from and how it moves through...
