Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module

<p>Aerosol microphysical processes are essential for the next generation of global and regional climate and air quality models to determine particle size distribution. The contribution of organic aerosols (OAs) to particle formation, mass, and number concentration is one of the major uncertain...

Full description

Bibliographic Details
Main Authors: X. Chen, F. Yu, W. Yang, Y. Sun, H. Chen, W. Du, J. Zhao, Y. Wei, L. Wei, H. Du, Z. Wang, Q. Wu, J. Li, J. An
Format: Article
Language:English
Published: Copernicus Publications 2021-06-01
Series:Atmospheric Chemistry and Physics
Online Access:https://acp.copernicus.org/articles/21/9343/2021/acp-21-9343-2021.pdf
id doaj-6f1ea61de2264717bd68af7b796fe0c7
record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author X. Chen
X. Chen
F. Yu
W. Yang
W. Yang
Y. Sun
Y. Sun
Y. Sun
H. Chen
W. Du
W. Du
J. Zhao
Y. Wei
Y. Wei
L. Wei
L. Wei
H. Du
Z. Wang
Q. Wu
J. Li
J. Li
J. An
J. An
Z. Wang
Z. Wang
Z. Wang
spellingShingle X. Chen
X. Chen
F. Yu
W. Yang
W. Yang
Y. Sun
Y. Sun
Y. Sun
H. Chen
W. Du
W. Du
J. Zhao
Y. Wei
Y. Wei
L. Wei
L. Wei
H. Du
Z. Wang
Q. Wu
J. Li
J. Li
J. An
J. An
Z. Wang
Z. Wang
Z. Wang
Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module
Atmospheric Chemistry and Physics
author_facet X. Chen
X. Chen
F. Yu
W. Yang
W. Yang
Y. Sun
Y. Sun
Y. Sun
H. Chen
W. Du
W. Du
J. Zhao
Y. Wei
Y. Wei
L. Wei
L. Wei
H. Du
Z. Wang
Q. Wu
J. Li
J. Li
J. An
J. An
Z. Wang
Z. Wang
Z. Wang
author_sort X. Chen
title Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module
title_short Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module
title_full Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module
title_fullStr Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module
title_full_unstemmed Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module
title_sort global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module
publisher Copernicus Publications
series Atmospheric Chemistry and Physics
issn 1680-7316
1680-7324
publishDate 2021-06-01
description <p>Aerosol microphysical processes are essential for the next generation of global and regional climate and air quality models to determine particle size distribution. The contribution of organic aerosols (OAs) to particle formation, mass, and number concentration is one of the major uncertainties in current models. A new global–regional nested aerosol model was developed to simulate detailed microphysical processes. The model combines an advanced particle microphysics (APM) module and a volatility basis set (VBS) OA module to calculate the kinetic condensation of low-volatility organic compounds and equilibrium partitioning of semi-volatile organic compounds in a 3-D framework using global–regional nested domain. In addition to the condensation of sulfuric acid, the equilibrium partitioning of nitrate and ammonium, and the coagulation process of particles, the microphysical processes of the OAs are realistically represented in our new model. The model uses high-resolution size bins to calculate the size distribution of new particles formed through nucleation and subsequent growth. The multi-scale nesting enables the model to perform high-resolution simulations of the particle formation processes in the urban atmosphere in the background of regional and global environments. By using the nested domains, the model reasonably reproduced the OA components obtained from the analysis of aerosol mass spectrometry measurements through positive matrix factorization and the particle number size distribution in the megacity of Beijing during a period of approximately a month. Anthropogenic organic species accounted for 67 % of the OAs of secondary particles formed by nucleation and subsequent growth, which is considerably larger than that of biogenic OAs. On the global scale, the model well predicted the particle number concentration in various environments. The microphysical module combined with the VBS simulated the universal distribution of organic components among the different aerosol populations. The model results strongly suggest the importance of anthropogenic organic species in aerosol particle formation and growth at polluted urban sites and over the whole globe.</p>
url https://acp.copernicus.org/articles/21/9343/2021/acp-21-9343-2021.pdf
work_keys_str_mv AT xchen globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT xchen globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT fyu globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT wyang globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT wyang globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT ysun globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT ysun globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT ysun globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT hchen globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT wdu globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT wdu globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT jzhao globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT ywei globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT ywei globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT lwei globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT lwei globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT hdu globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT zwang globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT qwu globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT jli globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT jli globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT jan globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT jan globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT zwang globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT zwang globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
AT zwang globalregionalnestedsimulationofparticlenumberconcentrationbycombingmicrophysicalprocesseswithanevolvingorganicaerosolmodule
_version_ 1721373841945526272
spelling doaj-6f1ea61de2264717bd68af7b796fe0c72021-06-17T14:41:08ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242021-06-01219343936610.5194/acp-21-9343-2021Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol moduleX. Chen0X. Chen1F. Yu2W. Yang3W. Yang4Y. Sun5Y. Sun6Y. Sun7H. Chen8W. Du9W. Du10J. Zhao11Y. Wei12Y. Wei13L. Wei14L. Wei15H. Du16Z. Wang17Q. Wu18J. Li19J. Li20J. An21J. An22Z. Wang23Z. Wang24Z. Wang25The State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaAtmospheric Science Research Center, State University of New York at Albany, New York 12203, USAThe State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaThe State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaThe State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaThe State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaInstitute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki 00014, FinlandThe State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaThe State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaInstitute of Urban Meteorology, China Meteorology Administration, Beijing 100089, ChinaThe State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaThe State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaThe State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, ChinaThe State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaThe State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaThe State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China<p>Aerosol microphysical processes are essential for the next generation of global and regional climate and air quality models to determine particle size distribution. The contribution of organic aerosols (OAs) to particle formation, mass, and number concentration is one of the major uncertainties in current models. A new global–regional nested aerosol model was developed to simulate detailed microphysical processes. The model combines an advanced particle microphysics (APM) module and a volatility basis set (VBS) OA module to calculate the kinetic condensation of low-volatility organic compounds and equilibrium partitioning of semi-volatile organic compounds in a 3-D framework using global–regional nested domain. In addition to the condensation of sulfuric acid, the equilibrium partitioning of nitrate and ammonium, and the coagulation process of particles, the microphysical processes of the OAs are realistically represented in our new model. The model uses high-resolution size bins to calculate the size distribution of new particles formed through nucleation and subsequent growth. The multi-scale nesting enables the model to perform high-resolution simulations of the particle formation processes in the urban atmosphere in the background of regional and global environments. By using the nested domains, the model reasonably reproduced the OA components obtained from the analysis of aerosol mass spectrometry measurements through positive matrix factorization and the particle number size distribution in the megacity of Beijing during a period of approximately a month. Anthropogenic organic species accounted for 67 % of the OAs of secondary particles formed by nucleation and subsequent growth, which is considerably larger than that of biogenic OAs. On the global scale, the model well predicted the particle number concentration in various environments. The microphysical module combined with the VBS simulated the universal distribution of organic components among the different aerosol populations. The model results strongly suggest the importance of anthropogenic organic species in aerosol particle formation and growth at polluted urban sites and over the whole globe.</p>https://acp.copernicus.org/articles/21/9343/2021/acp-21-9343-2021.pdf