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DOI	10.1038/s41612-019-0063-y
	Observational constraint of in-cloud supersaturation for simulations of aerosol rainout in atmospheric models
	Moteki N.; Mori T.; Matsui H.; Ohata S.
发表日期	2019
ISSN	23973722
卷号	2 期号:1
英文摘要	Quantitative simulation of an aerosol’s lifecycle by regional-scale and global-scale atmospheric models is mandatory for unbiased analysis and prediction of aerosol radiative forcing and climate change. Globally, aerosol deposition is dominated by the rainout process, which is mostly triggered by activation of aerosols to liquid droplets in supersaturated domains of precipitating clouds. However, the actual environmental supersaturation value that aerosols experience in precipitating clouds is difficult for models to predict, and it has never been constrained by observations; as a result, there is large uncertainty in atmospheric aerosol simulations. Here, by a particle-tracer analysis of 37 rainfall events in East Asia, near the largest source region of anthropogenic aerosols in the northern hemisphere, we observed that the environmental supersaturation actually experienced by the removed aerosols in precipitating clouds averaged 0.08 ± 0.03% and ranged from 0.03 to 0.2%. Simulations by a mixing-state-resolved global aerosol model showed that the simulated long-range transport efficiency and global atmospheric burden of black carbon aerosols can be changed by a factor of two or three as a result of a change in the environmental supersaturation in precipitating clouds within just 0.08 ± 0.03%. This result is attributable to the fact that the sensitivity of an aerosol’s rainout efficiency to environmental supersaturation is higher for the less-aged black carbon concentrated near source regions. Our results suggest that observational constraints of environmental supersaturation in precipitating clouds, particularly near source regions, are of fundamental importance for accurate simulation of the atmospheric burden of black carbon and other aerosols. © 2019, The Author(s).
语种	英语
scopus关键词	aerosol; atmospheric modeling; black carbon; cloud; rainfall; simulation; supersaturation; Far East
来源期刊	npj Climate and Atmospheric Science
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178118
作者单位	Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo, Tokyo, Japan; Department of Physics, Faculty of Science Division I, Tokyo University of Science, Tokyo, Japan; Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan; Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Japan; Institute for Advanced Research, Nagoya University, Nagoya, Japan
推荐引用方式 GB/T 7714	Moteki N.,Mori T.,Matsui H.,et al. Observational constraint of in-cloud supersaturation for simulations of aerosol rainout in atmospheric models[J],2019,2(1).
APA	Moteki N.,Mori T.,Matsui H.,&Ohata S..(2019).Observational constraint of in-cloud supersaturation for simulations of aerosol rainout in atmospheric models.npj Climate and Atmospheric Science,2(1).
MLA	Moteki N.,et al."Observational constraint of in-cloud supersaturation for simulations of aerosol rainout in atmospheric models".npj Climate and Atmospheric Science 2.1(2019).