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DOI	10.5194/acp-21-15929-2021
	Aerosol absorption in global models from AeroCom phase III
	Sand M.; Samset B.H.; Myhre G.; Gliß J.; Bauer S.E.; Bian H.; Chin M.; Checa-Garcia R.; Ginoux P.; Kipling Z.; Kirkeväg A.; Kokkola H.; Le Sager P.; Lund M.T.; Matsui H.; Van Noije T.; Olivié D.J.L.; Remy S.; Schulz M.; Stier P.; Stjern C.W.; Takemura T.; Tsigaridis K.; Tsyro S.G.; Watson-Parris D.
发表日期	2021
ISSN	1680-7316
起始页码	15929
结束页码	15947
卷号	21 期号:20
英文摘要	Aerosol-induced absorption of shortwave radiation can modify the climate through local atmospheric heating, which affects lapse rates, precipitation, and cloud formation. Presently, the total amount of aerosol absorption is poorly constrained, and the main absorbing aerosol species (black carbon (BC), organic aerosols (OA), and mineral dust) are diversely quantified in global climate models. As part of the third phase of the Aerosol Comparisons between Observations and Models (AeroCom) intercomparison initiative (AeroCom phase III), we here document the distribution and magnitude of aerosol absorption in current global aerosol models and quantify the sources of intermodel spread, highlighting the difficulties of attributing absorption to different species. In total, 15 models have provided total present-day absorption at 550nm (using year 2010 emissions), 11 of which have provided absorption per absorbing species. The multi-model global annual mean total absorption aerosol optical depth (AAOD) is 0.0054 (0.0020 to 0.0098; 550nm), with the range given as the minimum and maximum model values. This is 28% higher compared to the 0.0042 (0.0021 to 0.0076) multi-model mean in AeroCom phase II (using year 2000 emissions), but the difference is within 1 standard deviation, which, in this study, is 0.0023 (0.0019 in Phase II). Of the summed component AAOD, 60% (range 36%-84%) is estimated to be due to BC, 31% (12%-49%) is due to dust, and 11% (0%-24%) is due to OA; however, the components are not independent in terms of their absorbing efficiency. In models with internal mixtures of absorbing aerosols, a major challenge is the lack of a common and simple method to attribute absorption to the different absorbing species. Therefore, when possible, the models with internally mixed aerosols in the present study have performed simulations using the same method for estimating absorption due to BC, OA, and dust, namely by removing it and comparing runs with and without the absorbing species. We discuss the challenges of attributing absorption to different species; we compare burden, refractive indices, and density; and we contrast models with internal mixing to models with external mixing. The model mean BC mass absorption coefficient (MAC) value is 10.1 (3.1 to 17.7)m2g-1 (550nm), and the model mean BC AAOD is 0.0030 (0.0007 to 0.0077). The difference in lifetime (and burden) in the models explains as much of the BC AAOD spread as the difference in BC MAC values. The difference in the spectral dependency between the models is striking. Several models have an absorption Ångstrøm exponent (AAE) close to 1, which likely is too low given current knowledge of spectral aerosol optical properties. Most models do not account for brown carbon and underestimate the spectral dependency for OA. © Author(s) 2021.
语种	英语
scopus关键词	absorption efficiency; aerosol; brown carbon; climate modeling; estimation method; optical depth; spectral 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/246475
作者单位	CICERO Center for International Climate Research, Oslo, Norway; Norwegian Meteorological Institute, Oslo, Norway; NASA Goddard Institute for Space Studies, New York, United States; Center for Climate Systems Research, Columbia University, New York, United States; University of Maryland, Baltimore County (UMBC), Baltimore County, MD, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Laboratoire des Sciences du Climat et de l'Environnement, LSCE, IPSL, CEA-CNRS-UVSQ, Gif-sur-Yvette CEDEX, France; NOAA, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom; Atmospheric Research Centre of Eastern Finland, Finnish Meteorological Institute, Kuopio, Finland; Royal Netherlands Meteorological Institute, De Bilt, Netherlands; Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan; HYGEOS, Lille, France; Department of Physics, University of Oxford, Oxford, United Kingdom; Resear...
推荐引用方式 GB/T 7714	Sand M.,Samset B.H.,Myhre G.,et al. Aerosol absorption in global models from AeroCom phase III[J],2021,21(20).
APA	Sand M..,Samset B.H..,Myhre G..,Gliß J..,Bauer S.E..,...&Watson-Parris D..(2021).Aerosol absorption in global models from AeroCom phase III.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(20).
MLA	Sand M.,et al."Aerosol absorption in global models from AeroCom phase III".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.20(2021).