气候变化领域集成服务门户(CCPortal): Automated time-height-resolved air mass source attribution for profiling remote sensing applications

CCPortal

DOI	10.5194/acp-21-3015-2021
	Automated time-height-resolved air mass source attribution for profiling remote sensing applications
	Radenz M.; Seifert P.; Baars H.; Floutsi A.A.; Yin Z.; Bühl J.
发表日期	2021
ISSN	1680-7316
起始页码	3015
结束页码	3033
卷号	21 期号:4
英文摘要	Height-resolved air mass source attribution is crucial for the evaluation of profiling ground-based remote sensing observations, especially when using lidar (light detection and ranging) to investigate different aerosol types throughout the atmosphere. Lidar networks, such as EARLINET (European Aerosol Research Lidar Network) in the frame of ACTRIS (Aerosol, Clouds and Trace Gases), observe profiles of optical aerosol properties almost continuously, but usually, additional information is needed to support the characterization of the observed particles. This work presents an approach explaining how backward trajectories or particle positions from a dispersion model can be combined with geographical information (a land cover classification and manually defined areas) to obtain a continuous and vertically resolved estimate of an air mass source above a certain location. Ideally, such an estimate depends on as few as possible a priori information and auxiliary data. An automated framework for the computation of such an air mass source is presented, and two applications are described. First, the air mass source information is used for the interpretation of air mass sources for three case studies with lidar observations from Limassol (Cyprus), Punta Arenas (Chile) and ship-borne off Cabo Verde. Second, air mass source statistics are calculated for two multi-week campaigns to assess potential observation biases of lidar-based aerosol statistics. Such an automated approach is a valuable tool for the analysis of short-term campaigns but also for long-term data sets, for example, acquired by EARLINET. © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.
语种	英语
scopus关键词	aerosol property; air mass; ground-based measurement; lidar; remote sensing; Cape Verde [Macaronesia]; Chile; Cyprus; Limassol; Magallanes; Punta Arenas
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/247106
作者单位	Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany; School of Electronic Information, Wuhan University, Wuhan, China; Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan, China
推荐引用方式 GB/T 7714	Radenz M.,Seifert P.,Baars H.,et al. Automated time-height-resolved air mass source attribution for profiling remote sensing applications[J],2021,21(4).
APA	Radenz M.,Seifert P.,Baars H.,Floutsi A.A.,Yin Z.,&Bühl J..(2021).Automated time-height-resolved air mass source attribution for profiling remote sensing applications.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(4).
MLA	Radenz M.,et al."Automated time-height-resolved air mass source attribution for profiling remote sensing applications".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.4(2021).