DOI: 10.1016/j.atmosres.2017.11.027
Scopus记录号: 2-s2.0-85037810252
论文题名: Investigating the size, shape and surface roughness dependence of polarization lidars with light-scattering computations on real mineral dust particles: Application to dust particles' external mixtures and dust mass concentration retrievals
作者: Mehri T. ; Kemppinen O. ; David G. ; Lindqvist H. ; Tyynelä J. ; Nousiainen T. ; Rairoux P. ; Miffre A.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 203 起始页码: 44
结束页码: 61
语种: 英语
英文关键词: Light-scattering numerical simulations
; Mass concentrations
; Mineral dust
; Polarization lidar
; Surface roughness
Scopus关键词: Backscattering
; Budget control
; Earth atmosphere
; Light scattering
; Minerals
; Mixtures
; Numerical models
; Optical radar
; Particle size
; Particulate emissions
; Polarization
; Size distribution
; Spatial distribution
; Surface roughness
; Surface scattering
; Atmospheric mineral dust
; Backscattering coefficients
; Lidar measurements
; Long range transport
; Mass concentration
; Mineral dust
; Mineral dust particles
; Partitioning algorithms
; Dust
; computer simulation
; dust
; lidar
; light scattering
; mineral
; numerical model
; particle size
; particulate matter
; polarization
; surface roughness
英文摘要: Our understanding of the contribution of mineral dust to the Earth's radiative budget is limited by the complexity of these particles, which present a wide range of sizes, are highly-irregularly shaped, and are present in the atmosphere in the form of particle mixtures. To address the spatial distribution of mineral dust and atmospheric dust mass concentrations, polarization lidars are nowadays frequently used, with partitioning algorithms allowing to discern the contribution of mineral dust in two or three-component particle external mixtures. In this paper, we investigate the dependence of the retrieved dust backscattering (βd) vertical profiles with the dust particle size and shape. For that, new light-scattering numerical simulations are performed on real atmospheric mineral dust particles, having determined mineralogy (CAL, DOL, AGG, SIL), derived from stereogrammetry (stereo-particles), with potential surface roughness, which are compared to the widely-used spheroidal mathematical shape model. For each dust shape model (smooth stereo-particles, rough stereo-particles, spheroids), the dust depolarization, backscattering Ångström exponent, lidar ratio are computed for two size distributions representative of mineral dust after long-range transport. As an output, two Saharan dust outbreaks involving mineral dust in two, then three-component particle mixtures are studied with Lyon (France) UV–VIS polarization lidar. If the dust size matters most, under certain circumstances, βd can vary by approximately 67% when real dust stereo-particles are used instead of spheroids, corresponding to variations in the dust backscattering coefficient as large as 2 Mm− 1·sr− 1. Moreover, the influence of surface roughness in polarization lidar retrievals is for the first time discussed. Finally, dust mass-extinction conversion factors (ηd) are evaluated for each assigned shape model and dust mass concentrations are retrieved from polarization lidar measurements. From spheroids to stereo-particles, ηd increases by about 30%. We believe these results may be useful for our understanding of the spatial distribution of mineral dust contained in an aerosol external mixture and to better quantify dust mass concentrations from polarization lidar experiments. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108944
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: University of Lyon, Université Claude Bernard Lyon 1, CNRS, Institut Lumière Matière, Villeurbanne, F-69622, France; Finnish Meterological Institute, Erik Palménin aukio 1, Helsinki, FI-00560, Finland; Kansas State University, 1228 N. 17th St., Manhattan, KS, United States; ETH Zürich, LPC, Switzerland
Recommended Citation:
Mehri T.,Kemppinen O.,David G.,et al. Investigating the size, shape and surface roughness dependence of polarization lidars with light-scattering computations on real mineral dust particles: Application to dust particles' external mixtures and dust mass concentration retrievals[J]. Atmospheric Research,2018-01-01,203