气候变化领域集成服务门户(CCPortal): Tropospheric and stratospheric wildfire smoke profiling with lidar: Mass, surface area, CCN, and INP retrieval

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DOI	10.5194/acp-21-9779-2021
	Tropospheric and stratospheric wildfire smoke profiling with lidar: Mass, surface area, CCN, and INP retrieval
	Ansmann A.; Ohneiser K.; Mamouri R.-E.; Knopf D.A.; Veselovskii I.; Baars H.; Engelmann R.; Foth A.; Jimenez C.; Seifert P.; Barja B.
发表日期	2021
ISSN	1680-7316
起始页码	9779
结束页码	9807
卷号	21 期号:12
英文摘要	We present retrievals of tropospheric and stratospheric height profiles of particle mass, volume, surface area, and number concentrations in the case of wildfire smoke layers as well as estimates of smoke-related cloud condensation nuclei (CCN) and ice-nucleating particle (INP) concentrations from backscatter lidar measurements on the ground and in space. Conversion factors used to convert the optical measurements into microphysical properties play a central role in the data analysis, in addition to estimates of the smoke extinction-to-backscatter ratios required to obtain smoke extinction coefficients. The set of needed conversion parameters for wildfire smoke is derived from AERONET observations of major smoke events, e.g., in western Canada in August 2017, California in September 2020, and southeastern Australia in January-February 2020 as well as from AERONET long-term observations of smoke in the Amazon region, southern Africa, and Southeast Asia. The new smoke analysis scheme is applied to CALIPSO observations of tropospheric smoke plumes over the United States in September 2020 and to ground-based lidar observation in Punta Arenas, in southern Chile, in aged Australian smoke layers in the stratosphere in January 2020. These case studies show the potential of spaceborne and ground-based lidars to document large-scale and long-lasting wildfire smoke events in detail and thus to provide valuable information for climate, cloud, and air chemistry modeling efforts performed to investigate the role of wildfire smoke in the atmospheric system. © 2021 Albert Ansmann et al.
语种	英语
scopus关键词	cloud condensation nucleus; concentration (composition); height determination; lidar; mass; smoke; stratosphere; surface area; troposphere; wildfire; Amazonia; Australia; California; Canada; United States
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/246779
作者单位	Leibniz Institute for Tropospheric Research, Leipzig, Germany; Department of Civil Engineering and Geomatics, Cyprus University of Technology, Limassol, Cyprus; ERATOSTHENES Center of Excellence, Limassol, Cyprus; School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY 11794-5000, United States; Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russian Federation; Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany; Atmospheric Research Laboratory, University of Magallanes, Punta Arenas, Chile
推荐引用方式 GB/T 7714	Ansmann A.,Ohneiser K.,Mamouri R.-E.,et al. Tropospheric and stratospheric wildfire smoke profiling with lidar: Mass, surface area, CCN, and INP retrieval[J],2021,21(12).
APA	Ansmann A..,Ohneiser K..,Mamouri R.-E..,Knopf D.A..,Veselovskii I..,...&Barja B..(2021).Tropospheric and stratospheric wildfire smoke profiling with lidar: Mass, surface area, CCN, and INP retrieval.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(12).
MLA	Ansmann A.,et al."Tropospheric and stratospheric wildfire smoke profiling with lidar: Mass, surface area, CCN, and INP retrieval".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.12(2021).