Application of Turbulent Diffusion Term of Aerosols in Mesoscale Model

作     者：Jia, Wenxing Zhang, Xiaoye Zhang, Hongsheng Ren, Yan 

作者机构：Nanjing Univ Informat Sci & Technol Key Lab Aerosol Cloud Precipitat China Meteorol A Nanjing Peoples R China Chinese Acad Meteorol Sci Key Lab Atmospher Chem CMA Beijing Peoples R China Chinese Acad Sci Ctr Excellence Reg Amospher Environm IUE Xiamen Peoples R China Peking Univ Sch Phys Lab Climate & Ocean Atmosphere Studies Dept Atmospher & Ocean Sci Beijing Peoples R China 

出 版 物：《GEOPHYSICAL RESEARCH LETTERS》 (地球物理学研究快报)

年 卷 期：2021年第48卷第11期

页      面：e2021GL093199-e2021GL093199页

核心收录：

学科分类：07[理学] 0708[理学-地球物理学] 

基　　金：NSFC [U19A2044] MOST [2016YFC0203306] Key Projects of Fundamental Scientific Research Fund of CAMS [2017Z001] Atmospheric Pollution Control of the Prime Minister Fund [DQGG0104] 

主　　题：planetary boundary layer turbulent diffusion aerosols WRF-Chem 

摘      要：The presence of unfavorable meteorological conditions triggers pollution, and then further weakens turbulence, especially in the stable boundary layer (SBL), which is a frequent situation in heavy pollution episodes in China. The inapplicability of the classical Monin-Obukhov similarity theory and the uncertainty of the planetary boundary layer height can lead to large deviation of turbulent diffusion in the SBL in numerical simulations. However, in current mesoscale models, no term has been used to accurately describe the turbulent diffusion of aerosols. Therefore, we use the Mixing-Length theory to obtain the turbulent diffusion term of aerosols based on high-resolution observational data, and, for the first time, embed this term into a mesoscale model, which makes the turbulent diffusion process of aerosols more truly depicted. Results from a two-way coupled atmospheric-chemistry mesoscale model demonstrate that the turbulent diffusion term of aerosols can improve the problem of overestimated PM2.5 concentration in Eastern China.