Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM v1.0 with a sub-grid parameterization
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Published:2021-07-16
Issue:7
Volume:14
Page:4411-4428
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Wei Ying, Chen Xueshun, Chen Huansheng, Sun YeleORCID, Yang Wenyi, Du Huiyun, Wu QizhongORCID, Chen DanORCID, Zhao Xiujuan, Li Jie, Wang Zifa
Abstract
Abstract. The influence of sub-grid particle formation (SGPF) in point source plumes
on aerosol particles over eastern China was firstly illustrated by
implementing an SGPF scheme into a global–regional nested chemical transport
model with an aerosol microphysics module. The key parameter in the scheme was
optimized based on the observations in eastern China. With the
parameterization of SGPF, the spatial heterogeneity and diurnal variation in particle formation processes in sub-grid scale were well resolved. The SGPF
scheme can significantly improve the model performance in simulating aerosol
components and new particle formation processes at typical sites influenced
by point sources. The comparison with observations at Beijing, Wuhan and
Nanjing showed that the normal mean bias (NMB) of sulfate and ammonium could
be reduced by 23 %–27 % and 12 %–14 %, respectively. When wind
fields are well reproduced, the correlation of sulfate between simulation
and observation can be increased by 0.13 in Nanjing. Considering the diurnal
cycle of new particle formation, the SGPF scheme can greatly reduce the
overestimation of particle number concentration in nucleation and Aitken
mode at night caused by fixed-fraction parameterization of SGPF. On the
regional scale, downwind areas of point source experienced an increase in sulfate
concentration of 25 %–50 %. The results of this study indicate the
significant effects of SGPF on aerosol particles over areas with the point
source and the necessity of a reasonable representation of SGPF processes in
chemical transport models.
Funder
National Key Research and Development Program of China National Natural Science Foundation of China
Publisher
Copernicus GmbH
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