气候变化领域集成服务门户(CCPortal): Analysis of secondary organic aerosol simulation bias in the Community Earth System Model (CESM2.1)

CCPortal

DOI	10.5194/acp-21-8003-2021
	Analysis of secondary organic aerosol simulation bias in the Community Earth System Model (CESM2.1)
	Liu Y.; Dong X.; Wang M.; Emmons L.K.; Liu Y.; Liang Y.; Li X.; Shrivastava M.
发表日期	2021
ISSN	1680-7316
起始页码	8003
结束页码	8021
卷号	21 期号:10
英文摘要	Organic aerosol (OA) has been considered as one of the most important uncertainties in climate modeling due to the complexity in presenting its chemical production and depletion mechanisms. To better understand the capability of climate models and probe into the associated uncertainties in simulating OA, we evaluate the Community Earth System Model version 2.1 (CESM2.1) configured with the Community Atmosphere Model version 6 (CAM6) with comprehensive tropospheric and stratospheric chemistry representation (CAM6-Chem) through a long-term simulation (1988-2019) with observations collected from multiple datasets in the United States. We find that CESM generally reproduces the interannual variation and seasonal cycle of OA mass concentration at surface layer with a correlation of 0.40 compared to ground observations and systematically overestimates (69 %) in summer and underestimates (-19 %) in winter. Through a series of sensitivity simulations, we reveal that modeling bias is primarily related to the dominant fraction of monoterpeneformed secondary organic aerosol (SOA), and a strong positive correlation of 0.67 is found between monoterpene emission and modeling bias in the eastern US during summer. In terms of vertical profile, the model prominently underestimates OA and monoterpene concentrations by 37 %-99% and 82 %-99 %, respectively, in the upper air (>500 m) as validated against aircraft observations. Our study suggests that the current volatility basis set (VBS) scheme applied in CESM might be parameterized with monoterpene SOA yields that are too high, which subsequently results in strong SOA production near the emission source area. We also find that the model has difficulty in reproducing the decreasing trend of surface OA in the southeastern US probably because of employing pure gas VBS to represent isoprene SOA which is in reality mainly formed through multiphase chemistry; thus, the influence of aerosol acidity and sulfate particle change on isoprene SOA formation has not been fully considered in the model. This study reveals the urgent need to improve the SOA modeling in climate models. © 2021 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	aerosol formation; annual variation; atmospheric chemistry; climate modeling; concentration (composition); seasonal variation; stratosphere; troposphere
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/246862
作者单位	School of Atmospheric Science, Nanjing University, Nanjing, China; Joint International Research Laboratory of Atmospheric and Earth System Sciences, Institute for Climate and Global Change Research, Nanjing University, China; National Center for Atmospheric Research, Boulder, CO, United States; Pacific Northwest National Laboratory, Richland, WA, United States
推荐引用方式 GB/T 7714	Liu Y.,Dong X.,Wang M.,et al. Analysis of secondary organic aerosol simulation bias in the Community Earth System Model (CESM2.1)[J],2021,21(10).
APA	Liu Y..,Dong X..,Wang M..,Emmons L.K..,Liu Y..,...&Shrivastava M..(2021).Analysis of secondary organic aerosol simulation bias in the Community Earth System Model (CESM2.1).ATMOSPHERIC CHEMISTRY AND PHYSICS,21(10).
MLA	Liu Y.,et al."Analysis of secondary organic aerosol simulation bias in the Community Earth System Model (CESM2.1)".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.10(2021).