Preprints
https://doi.org/10.5194/egusphere-2026-970
https://doi.org/10.5194/egusphere-2026-970
05 Mar 2026
 | 05 Mar 2026
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

PALM-CO2 (v01): A High-Resolution Urban CO2 Transport Model with Anthropogenic and Biogenic Fluxes

Linfeng Li, Jie Zheng, and Fangxin Fang

Abstract. We develop PALM-CO2, a high-resolution urban carbon dioxide transport model with anthropogenic and biogenic carbon emissions. The model is based on an open-source urban flow large eddy simulation (LES) model, PALM, where we implemented a biogenic carbon emission module (Vegetation Photosynthesis and Respiration Model, VPRM) and customised output modules for carbon fluxes. PALM-CO2 is validated through a case study in London, comprising an 8 by 8 km2 domain covering the borough of Camden at a resolution of 10 m. Simulations are driven by reanalysis meteorological forcing and background CO2 concentrations, while the hourly anthropogenic emissions at 10-m resolution are explicitly derived in this study. Validation against eddy-covariance flux measurements inside the study region confirms that the model captures the diurnal variation of the turbulent transport and anthropogenic emissions. Additional validation against monthly biogenic flux diurnal profiles at a deciduous forest site in Czech Republic further confirms the biogenic flux module. The simulations reveal strong spatial heterogeneity in near-surface CO2 concentrations driven by building-induced turbulence, diurnal boundary layer evolution, and emission patterns. PALM-CO2 provides a high-resolution framework for investigating CO2 transport processes in complex urban and vegetated environments, providing improved quantification of urban emission sources.

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Linfeng Li, Jie Zheng, and Fangxin Fang

Status: open (until 30 Apr 2026)

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Linfeng Li, Jie Zheng, and Fangxin Fang
Linfeng Li, Jie Zheng, and Fangxin Fang
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Short summary
This study presents a high-resolution model that simulates how carbon dioxide moves through cities by combining human emissions and plant activity. Using detailed data for London, the model closely matches real measurements. Results show that air movement, mixing, and urban vegetation strongly shape carbon patterns, highlighting the importance of green spaces and airflow in improving urban planning and reducing emissions.
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