Aerosol classification by airborne high spectral resolution lidar observations

During four aircraft field experiments with the DLR research aircraft Falcon in 1998 (LACE), 2006 (SAMUM-1) and 2008 (SAMUM-2 and EUCAARI), airborne High Spectral Resolution Lidar (HSRL) and in situ measurements of aerosol microphysical and optical properties were performed. Altogether, the properti...

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Bibliographic Details
Published in:Atmospheric chemistry and physics 2013-03, Vol.13 (5), p.2487-2505
Main Authors: Groß, S, Esselborn, M, Weinzierl, B, Wirth, M, Fix, A, Petzold, A
Format: Article
Language:English
Subjects:
Aerosols
Aircraft
Analysis
Biomass burning
Classification
Dust
Lidar
Marine
Optical properties
Optical radar
Remote sensing
Research aircraft
Spectral resolution
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Summary:During four aircraft field experiments with the DLR research aircraft Falcon in 1998 (LACE), 2006 (SAMUM-1) and 2008 (SAMUM-2 and EUCAARI), airborne High Spectral Resolution Lidar (HSRL) and in situ measurements of aerosol microphysical and optical properties were performed. Altogether, the properties of six different aerosol types and aerosol mixtures - Saharan mineral dust, Saharan dust mixtures, Canadian biomass burning aerosol, African biomass burning mixture, anthropogenic pollution aerosol, and marine aerosol have been studied. On the basis of this extensive HSRL data set, we present an aerosol classification scheme which is also capable to identify mixtures of different aerosol types. We calculated mixing lines that allowed us to determine the contributing aerosol types. The aerosol classification scheme was supported by backward trajectory analysis and validated with in-situ measurements. Our results demonstrate that the developed aerosol mask is capable to identify complex stratifications with different aerosol types throughout the atmosphere.
ISSN:1680-7324
1680-7316
1680-7324
DOI:10.5194/acp-13-2487-2013