气候变化领域集成服务门户(CCPortal): Pollen observations at four EARLINET stations during the ACTRIS-COVID-19 campaign

CCPortal

DOI	10.5194/acp-22-3931-2022
	Pollen observations at four EARLINET stations during the ACTRIS-COVID-19 campaign
	Shang, Xiaoxia; Baars, Holger; Stachlewska, Iwona S.; Mattis, Ina; Komppula, Mika
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	3931
结束页码	3944
卷号	22 期号:6 页码:14
英文摘要	Lidar observations were analysed to characterize atmospheric pollen at four EARLINET (European Aerosol Research Lidar Network) stations (Hohenpeissenberg, Germany; Kuopio, Finland; Leipzig, Germany; and Warsaw, Poland) during the ACTRIS (Aerosol, Clouds and Trace Gases Research Infrastructure) COVID-19 campaign in May 2020. The reanalysis (fully quality-assured) lidar data products, after the centralized and automatic data processing with the Single Calculus Chain (SCC), were used in this study, focusing on particle backscatter coefficients at 355 and 532 nm and particle linear depolarization ratios (PDRs) at 532 nm. A novel method for the characterization of the pure pollen depolarization ratio was presented, based on the non-linear least square regression fitting using lidar-derived backscatter-related Angstrom exponents (BAEs) and PDRs. Under the assumption that the BAE between 355 and 532 nm should be zero (+/- 0.5) for pure pollen, the pollen depolarization ratios were estimated: for Kuopio and Warsaw stations, the pollen depolarization ratios at 532 nm were of 0.24 (0.19-0.28) during the birch-dominant pollen periods, whereas for Hohenpeissenberg and Leipzig stations, the pollen depolarization ratios of 0.21 (0.15-0.27) and 0.20 (0.15-0.25) were observed for periods of mixture of birch and grass pollen. The method was also applied for the aerosol classification, using two case examples from the campaign periods; the different pollen types (or pollen mixtures) were identified at Warsaw station, and dust and pollen were classified at Hohenpeissenberg station.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000776517600001
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/273432
作者单位	Finnish Meteorological Institute; Leibniz Institut fur Tropospharenforschung (TROPOS); University of Warsaw; Deutscher Wetterdienst
推荐引用方式 GB/T 7714	Shang, Xiaoxia,Baars, Holger,Stachlewska, Iwona S.,et al. Pollen observations at four EARLINET stations during the ACTRIS-COVID-19 campaign[J],2022,22(6):14.
APA	Shang, Xiaoxia,Baars, Holger,Stachlewska, Iwona S.,Mattis, Ina,&Komppula, Mika.(2022).Pollen observations at four EARLINET stations during the ACTRIS-COVID-19 campaign.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(6),14.
MLA	Shang, Xiaoxia,et al."Pollen observations at four EARLINET stations during the ACTRIS-COVID-19 campaign".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.6(2022):14.