Preprints
https://doi.org/10.5194/gmd-2020-430
https://doi.org/10.5194/gmd-2020-430

Submitted as: development and technical paper 26 Jan 2021

Submitted as: development and technical paper | 26 Jan 2021

Review status: this preprint is currently under review for the journal GMD.

Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM with a sub-grid parameterization

Ying Wei1,2, Xueshun Chen2,3, Huansheng Chen2, Yele Sun2,3,5, Wenyi Yang2,3, Huiyun Du2, Qizhong Wu4, Dan Chen1, Xiujuan Zhao1, Jie Li2,3, and Zifa Wang2,3,5 Ying Wei et al.
  • 1Institute of Urban Meteorology, China Meteorology Administration, Beijing, 100089, China
  • 2The State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
  • 3Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
  • 4College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875
  • 5University of Chinese Academy of Sciences, Beijing 100049, China

Abstract. The influence of sub-grid particle formation (SGPF) in point source plumes on aerosol particles over eastern China was firstly illustrated by implementing a SGPF scheme into a global-regional nested chemical transport model with 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 of 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 were 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 caused by fixed-fraction parameterization of SGPF. In the regional scale, downwind areas of point source got an increase of sulfate concentration by 25 %–50 %. The results of this study indicate the significant effects of SGPF on aerosol particles over areas with the point source and necessity of reasonable representation of SGPF processes in chemical transport models.

Ying Wei et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2020-430', Ying Chen, 07 Feb 2021
  • RC2: 'Comment on gmd-2020-430', Anonymous Referee #2, 20 Feb 2021
  • CEC1: 'Comment on gmd-2020-430', Astrid Kerkweg, 26 Feb 2021
    • AC1: 'Reply on CEC1', Xueshun Chen, 01 Mar 2021

Ying Wei et al.

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Short summary
The sub-grid particle formation (SGPF) in plume plays an important role in air pollution and climate effect. We coupled a SGPF scheme into a chemical transport model with aerosol microphysics module and applied it to investigate the SGPF impact over China. The scheme clearly improved the model performance in simulating aerosol components and particle number at typical sites influenced by point sources. The results indicate the significant effects of SGPF on aerosol particles in industrial areas.