Preprints
https://doi.org/10.5194/egusphere-2024-2372
https://doi.org/10.5194/egusphere-2024-2372
08 Aug 2024
 | 08 Aug 2024
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Accounting for Black Carbon Aging Process in a Two-way Coupled Meteorology – Air Quality Model

Yuzhi Jin, Jiandong Wang, David C. Wong, Chao Liu, Golam Sarwar, Kathleen M. Fahey, Shang Wu, Jiaping Wang, Jing Cai, Zeyuan Tian, Zhouyang Zhang, Jia Xing, Aijun Ding, and Shuxiao Wang

Abstract. Black carbon (BC) exerts significant impacts on both climate and environment. BC aging process alters its hygroscopicity and light absorption properties. Current models, like the Weather Research and Forecasting – Community Multiscale Air Quality (WRF-CMAQ) two-way coupled model, inadequately characterize these alterations. In this study, we accounted for BC aging process in the WRF-CMAQ model (WRF-CMAQ-BCG). We introduced two new species (Bare BC and Coated BC) in the model and implemented a module to simulate the conversion from Bare BC to Coated BC, thereby characterizing the aging process. Furthermore, we improved the cloud chemistry and aerosol optics modules to analyze the effects of BC aging on hydrophobicity and light absorption. The simulated results indicate a spatial distribution pattern with Bare BC prevalent near emission sources and Coated BC more common farther from sources. The average Number Fraction of Coated BC (NFcoated) is approximately 57 %. Temporal variation exhibits a distinct diurnal pattern, with NFcoated increasing during the daytime. The spatial distribution of wet deposition varies significantly between Bare and Coated BC. Bare BC exhibits a point-like deposition pattern, whereas Coated BC displays a zonal distribution. Notably, Coated BC dominates the BC wet deposition process. Additionally, incorporating BC aging process reduces BC wet deposition by 17.7 % and increases BC column concentration by 10.5 %. The simulated Mass Absorption Cross-section (MAC) value improved agreement with observed measurements. Overall, the WRF-CMAQ-BCG model enhances the capability to analyze aging-related variables and BC mixing state, while also improving performance in wet deposition and optical properties.

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Yuzhi Jin, Jiandong Wang, David C. Wong, Chao Liu, Golam Sarwar, Kathleen M. Fahey, Shang Wu, Jiaping Wang, Jing Cai, Zeyuan Tian, Zhouyang Zhang, Jia Xing, Aijun Ding, and Shuxiao Wang

Status: open (until 19 Sep 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Yuzhi Jin, Jiandong Wang, David C. Wong, Chao Liu, Golam Sarwar, Kathleen M. Fahey, Shang Wu, Jiaping Wang, Jing Cai, Zeyuan Tian, Zhouyang Zhang, Jia Xing, Aijun Ding, and Shuxiao Wang

Data sets

The WRF-CMAQ-BCG model data Yuzhi Jin et al. https://zenodo.org/doi/10.5281/zenodo.12798177

Model code and software

The WRF-CMAQ-BCG model code Yuzhi Jin et al. https://zenodo.org/doi/10.5281/zenodo.12798673

Yuzhi Jin, Jiandong Wang, David C. Wong, Chao Liu, Golam Sarwar, Kathleen M. Fahey, Shang Wu, Jiaping Wang, Jing Cai, Zeyuan Tian, Zhouyang Zhang, Jia Xing, Aijun Ding, and Shuxiao Wang

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Short summary
Black carbon (BC) affects climate and the environment, and its aging process alters its properties. Current models, like WRF-CMAQ, lack full account. We developed the WRF-CMAQ-BCG model to better represent BC aging by introducing Bare/Coated BC species and their conversion. Our findings show that BC mixing states have distinct spatiotemporal distribution characteristics, and BC wet deposition is dominated by Coated BC. Accounting for BC aging process improves aerosol optics simulation accuracy.