Coupled mesoscale–microscale modeling of air quality in a polluted city using WRF-LES-Chem

Wang, Yuting; Ma, Yong-Feng; Muñoz-Esparza, Domingo; Dai, Jianing; Li, Cathy Wing Yi; Lichtig, Pablo; Tsang, Roy Chun-Wang; Liu, Chun-Ho; Wang, Tao; Brasseur, Guy Pierre

doi:https://doi.org/10.5194/acp-23-5905-2023

Articles | Volume 23, issue 10

https://doi.org/10.5194/acp-23-5905-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-5905-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 10

Research article

|

30 May 2023

Research article |

| 30 May 2023

Coupled mesoscale–microscale modeling of air quality in a polluted city using WRF-LES-Chem

Yuting Wang, Yong-Feng Ma, Domingo Muñoz-Esparza, Jianing Dai, Cathy Wing Yi Li, Pablo Lichtig, Roy Chun-Wang Tsang, Chun-Ho Liu, Tao Wang, and Guy Pierre Brasseur

Supplement

https://doi.org/10.5194/acp-23-5905-2023-supplement

Data sets

Air Quality Data - Download/Display Environmental Protection Department https://cd.epic.epd.gov.hk/EPICDI/air/station/?lang=_en

Ozone sounding data World Ozone and Ultraviolet Radiation Data Centre https://woudc.org/archive/Archive-NewFormat/OzoneSonde_1.0_1/stn344/ecc/

Model code and software

wrf-model WRF https://github.com/wrf-model/WRF/

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Short summary

Air quality in urban areas is difficult to simulate in coarse-resolution models. This work exploits the WRF (Weather Research and Forecasting) model coupled with a large-eddy simulation (LES) component and online chemistry to perform high-resolution (33.3 m) simulations of air quality in a large city. The evaluation of the simulations with observations shows that increased model resolution improves the representation of the chemical species near the pollution sources.