气候变化领域集成服务门户(CCPortal): Comparison of two automated aerosol typing methods and their application to an EARLINET station

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DOI	10.5194/acp-19-10961-2019
	Comparison of two automated aerosol typing methods and their application to an EARLINET station
	Artemis Voudouri K.; Siomos N.; Michailidis K.; Papagiannopoulos N.; Mona L.; Cornacchia C.; Nicolae D.; Balis D.
发表日期	2019
ISSN	16807316
起始页码	10961
结束页码	10980
卷号	19 期号:16
英文摘要	In this study we apply and compare two algorithms for the automated aerosol-type characterization of the aerosol layers derived from Raman lidar measurements over the EARLINET station of Thessaloniki, Greece. Both automated aerosol-type characterization methods base their typing on lidar-derived aerosol-intensive properties. The methodologies are briefly described and their application to three distinct cases is demonstrated and evaluated. Then the two classification schemes were applied in the automatic mode to a more extensive dataset. The dataset analyzed corresponds to ACTRIS/EARLINET (European Aerosol Research Lidar NETwork) Thessaloniki data acquired during the period 2012-2015. Seventy-one layers out of 110 (percentage of 65 %) were typed by both techniques, and 56 of these 71 layers (percentage of 79 %) were attributed to the same aerosol type. However, as shown, the identification rate of both typing algorithms can be changed regarding the selection of appropriate threshold criteria. Four major types of aerosols are considered in this study: Dust, Maritime, PollutedSmoke and CleanContinental. The analysis showed that the two algorithms, when applied to real atmospheric conditions, provide typing results that are in good agreement regarding the automatic characterization of PollutedSmoke, while there are some differences between the two methods regarding the characterization of Dust and CleanContinental. These disagreements are mainly attributed to differences in the definitions of the aerosol types between the two methods, regarding the intensive properties used and their range. © Author(s) 2019.
语种	英语
scopus关键词	aerosol; algorithm; classification; comparative study; data set; lidar; research program; Central Macedonia; Greece; Thessaloniki [Central Macedonia]
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/144181
作者单位	Laboratory of Atmospheric Physics, Physics Department, Aristotle University of Thessaloniki, Thessaloniki, Greece; Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Tito Scalo, PZ, Italy; CommSensLab, Dept. of Signal Theory and Communications, Universitat Politècnica de Catalunya, Barcelona, Spain; National Institute of RandD for Optoelectronics (INOE2000), Magurele, Romania
推荐引用方式 GB/T 7714	Artemis Voudouri K.,Siomos N.,Michailidis K.,et al. Comparison of two automated aerosol typing methods and their application to an EARLINET station[J],2019,19(16).
APA	Artemis Voudouri K..,Siomos N..,Michailidis K..,Papagiannopoulos N..,Mona L..,...&Balis D..(2019).Comparison of two automated aerosol typing methods and their application to an EARLINET station.Atmospheric Chemistry and Physics,19(16).
MLA	Artemis Voudouri K.,et al."Comparison of two automated aerosol typing methods and their application to an EARLINET station".Atmospheric Chemistry and Physics 19.16(2019).