气候变化领域集成服务门户(CCPortal): Characterization of aerosol hygroscopicity using Raman lidar measurements at the EARLINET station of Payerne

CCPortal

DOI	10.5194/acp-19-11651-2019
	Characterization of aerosol hygroscopicity using Raman lidar measurements at the EARLINET station of Payerne
	Navas-Guzmán F.; Martucci G.; Collaud Coen M.; Granados-Muñoz M.J.; Hervo M.; Sicard M.; Haefele A.
发表日期	2019
ISSN	16807316
起始页码	11651
结束页码	11668
卷号	19 期号:18
英文摘要	This study focuses on the analysis of aerosol hygroscopicity using remote sensing techniques. Continuous observations of aerosol backscatter coefficient (βaer), temperature (T ) and water vapor mixing ratio (r) have been performed by means of a Raman lidar system at the aerological station of MeteoSwiss at Payerne (Switzerland) since 2008. These measurements allow us to monitor in a continuous way any change in aerosol properties as a function of the relative humidity (RH). These changes can be observed either in time at a constant altitude or in altitude at a constant time. The accuracy and precision of RH measurements from the lidar have been evaluated using the radiosonde (RS) technique as a reference. A total of 172 RS profiles were used in this intercomparison, which revealed a bias smaller than 4%RH and a standard deviation smaller than 10%RH between both techniques in the whole (in lower) troposphere at nighttime (at daytime), indicating the good performance of the lidar for characterizing RH. A methodology to identify situations favorable to studying aerosol hygroscopicity has been established, and the aerosol hygroscopicity has been characterized by means of the backscatter enhancement factor (fβ). Two case studies, corresponding to different types of aerosol, are used to illustrate the potential of this methodology. The first case corresponds to a mixture of rural aerosol and smoke particles (smoke mixture), which showed a higher hygroscopicity (f355β = 2.8 and f1064β = 1:8 in the RH range 73 %-97 %) than the second case, in which mineral dust was present (f355β = 1.2 and f1064β = 1.1 in the RH range 68%-84 %). The higher sensitivity of the shortest wavelength to hygroscopic growth was qualitatively reproduced using Mie simulations. In addition, a good agreement was found between the hygroscopic analysis done in the vertical and in time for Case I, where the latter also allowed us to observe the hydration and dehydration of the smoke mixture. Finally, the impact of aerosol hygroscopicity on the Earth's radiative balance has been evaluated using the GAME (Global Atmospheric Model) radiative transfer model. The model showed an impact with an increase in absolute value of 2.4Wm-2 at the surface with respect to the dry conditions for the hygroscopic layer of Case I (smoke mixture). © 2019 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	aerosol composition; aerosol formation; hygroscopicity; lidar; mixing ratio; radiative forcing; radiosonde; satellite data; water vapor; Payerne; Switzerland; Vaud
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/144149
作者单位	Federal Office of Meteorology and Climatology MeteoSwiss, Payerne, Switzerland; Remote Sensing Laboratory/CommSensLab, Universitat Politècnica de Catalunya, Barcelona, 08034, Spain; Ciències i Tecnologies de l'Espai, Centre de Recerca de l'Aeronàutica i de l'Espai, Institut d'Estudis Espacials de Catalunya (CTE-CRAE/IEEC), Universitat Politècnica de Catalunya, Barcelona, 08034, Spain; Department of Physics and Astronomy, University of Western Ontario, London, Canada
推荐引用方式 GB/T 7714	Navas-Guzmán F.,Martucci G.,Collaud Coen M.,et al. Characterization of aerosol hygroscopicity using Raman lidar measurements at the EARLINET station of Payerne[J],2019,19(18).
APA	Navas-Guzmán F..,Martucci G..,Collaud Coen M..,Granados-Muñoz M.J..,Hervo M..,...&Haefele A..(2019).Characterization of aerosol hygroscopicity using Raman lidar measurements at the EARLINET station of Payerne.Atmospheric Chemistry and Physics,19(18).
MLA	Navas-Guzmán F.,et al."Characterization of aerosol hygroscopicity using Raman lidar measurements at the EARLINET station of Payerne".Atmospheric Chemistry and Physics 19.18(2019).