气候变化领域集成服务门户(CCPortal): Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model

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DOI	10.5194/acp-21-17727-2021
	Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model
	Zheng Z.; West M.; Zhao L.; Ma P.-L.; Liu X.; Riemer N.
发表日期	2021
ISSN	1680-7316
起始页码	17727
结束页码	17741
卷号	21 期号:23
英文摘要	Aerosol mixing state is an important emergent property that affects aerosol radiative forcing and aerosol-cloud interactions, but it has not been easy to constrain this property globally. This study aims to verify the global distribution of aerosol mixing state represented by modal models. To quantify the aerosol mixing state, we used the aerosol mixing state indices for submicron aerosol based on the mixing of optically absorbing and non-absorbing species (χo), the mixing of primary carbonaceous and non-primary carbonaceous species (χc), and the mixing of hygroscopic and non-hygroscopic species (χh). To achieve a spatiotemporal comparison, we calculated the mixing state indices using output from the Community Earth System Model with the four-mode version of the Modal Aerosol Module (MAM4) and compared the results with the mixing state indices from a benchmark machine-learned model trained on high-detail particle-resolved simulations from the particle-resolved stochastic aerosol model PartMC-MOSAIC. The two methods yielded very different spatial patterns of the mixing state indices. In some regions, the yearly averaged χ value computed by the MAM4 model differed by up to 70 percentage points from the benchmark values. These errors tended to be zonally structured, with the MAM4 model predicting a more internally mixed aerosol at low latitudes and a more externally mixed aerosol at high latitudes compared to the benchmark. Our study quantifies potential model bias in simulating mixing state in different regions and provides insights into potential improvements to model process representation for a more realistic simulation of aerosols towards better quantification of radiative forcing and aerosol-cloud interactions. © 2021 Zhonghua Zheng et al.
语种	英语
scopus关键词	aerosol; concentration (composition); mixing; radiative forcing; source apportionment; spatiotemporal analysis
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246392
作者单位	Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States; Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States; National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States; Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, United States; Department of Atmospheric Sciences, Texas AandM University, College Station, TX, United States; Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States
推荐引用方式 GB/T 7714	Zheng Z.,West M.,Zhao L.,et al. Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model[J],2021,21(23).
APA	Zheng Z.,West M.,Zhao L.,Ma P.-L.,Liu X.,&Riemer N..(2021).Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(23).
MLA	Zheng Z.,et al."Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.23(2021).