1. Modeling the Air Pollution and Aerosol‐PBL Interactions Over China Using a Variable‐Resolution Global Model.
- Author
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Yue, Man, Dong, Xinyi, Wang, Minghuai, Emmons, Louisa K., Liang, Yuan, Tong, Dan, Liu, Yawen, and Liu, Yaman
- Subjects
CLIMATE change models ,ATMOSPHERIC boundary layer ,CHEMICAL processes ,AIR pollution ,PARTICULATE matter ,BOUNDARY layer (Aerodynamics) ,DISPERSION (Atmospheric chemistry) ,AIR quality - Abstract
Modeling air quality has always been a challenge in global models constrained by coarse grids. Here, the variable‐resolution Community Atmosphere Model with full chemistry based on the scalable spectral element (SE) dynamical core (MUSICAv0) is applied in simulating air pollution with a finer grid resolution of ∼0.25° over East Asia (SE_VR), in contrast to the same model with a uniform resolution of ∼1.0° (SE_UR). Two nudging experiments and four free‐running experiments are conducted to investigate the capabilities of SE_VR in modeling the air pollution and aerosol‐planetary boundary layer (PBL) interactions over China. Results show the regional refinement in SE_VR is essential for simulating haze events over complex terrain areas attributed to its better performance in representing the local vertical and horizontal dispersion conditions. SE_VR shows prominent advantages over SE_UR in simulating surface ozone because of better resolving spatial segregation of NOx and volatile organic compounds (VOC) chemical regimes and subsequently representing more detailed chemical processes related to ozone formation, although the model generally overestimates surface ozone over China. Further analysis of SE_VR shows the daytime radiative effect of black carbon (BC) aerosols lowers PBL height by 12.0% (17.9%), and leads to an increase of PM2.5 by 14.5% (10.8%) under the moderate (severe) air pollution conditions over Sichuan Basin. However, SE_UR has deficiencies in simulating BC‐PBL interactions due to its inability to reproduce the strong inverse temperature structure caused by BC aerosols in the lower atmosphere layer. Our results highlight the value of variable‐resolution global models for simulating air pollution and its interactions with climate. Plain Language Summary: Air pollution has been demonstrated to be harmful to humans and the living environment over East Asia. Simulations of air pollution are traditionally performed with regional or global models. However, uncertainties remain in air quality simulations due to insufficient resolution to resolve the regional‐scale processes in global models or the inconsistency of chemical and physical schemes between regional and global models. In this work, we conduct experiments using a variable‐resolution global climate model to explore the improvement of regional refinement in simulating the air quality and aerosol‐PBL interactions over China. The experiment with grid refinement over East Asia simulates PM2.5 and ozone concentrations better, as well as improving the aerosol‐PBL interaction simulations. The finer grids are more essential in improving the haze event simulation at the complex terrain regions due to better presenting the local vertical and horizontal dispersion conditions associated with the accumulation and aggregation of pollutants. Finer grids show prominent advantages in the representation of spatial segregation of NOx and VOC chemical regimes, improving the ozone simulation over China. Moreover, refinement grids reproduce the strong inverse temperature structure caused by BC aerosols in the low atmosphere and improve simulations of the impacts of BC‐PBL interactions on air quality. Key Points: The MUSICAv0 model with regional refinement over East Asia improves haze event simulations, especially in complex terrain areasFiner grids can resolve a greater range of NOx and volatile organic compounds (VOC) chemical regimes, significantly reducing the ozone overestimation in coarser gridsFiner grids improve the boundary layer representation of black carbon featured by stronger inverse temperature structure in the lower atmosphere [ABSTRACT FROM AUTHOR]
- Published
- 2023
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