Aerosol classification using airborne High Spectral Resolution Lidar measurements - methodology and examples

被引:371
作者
Burton, S. P. [1 ]
Ferrare, R. A. [1 ]
Hostetler, C. A. [1 ]
Hair, J. W. [1 ]
Rogers, R. R. [1 ]
Obland, M. D. [1 ]
Butler, C. F. [2 ]
Cook, A. L. [1 ]
Harper, D. B. [1 ]
Froyd, K. D. [3 ]
机构
[1] NASA, Langley Res Ctr, Hampton, VA 23681 USA
[2] Sci Syst & Applicat Inc, Hampton, VA 23666 USA
[3] NOAA, Div Chem Sci, ESRL, Boulder, CO USA
关键词
TO-BACKSCATTER RATIO; ATMOSPHERIC BOUNDARY-LAYER; OPTICAL-PROPERTIES; SAHARAN DUST; TROPOSPHERIC AEROSOL; RAMAN LIDAR; ASIAN DUST; MICROPHYSICAL PROPERTIES; VERTICAL PROFILES; SOUTHERN MOROCCO;
D O I
10.5194/amt-5-73-2012
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The NASA Langley Research Center (LaRC) airborne High Spectral Resolution Lidar (HSRL) on the NASA B200 aircraft has acquired extensive datasets of aerosol extinction (532 nm), aerosol optical depth (AOD) (532 nm), backscatter (532 and 1064 nm), and depolarization (532 and 1064 nm) profiles during 18 field missions that have been conducted over North America since 2006. The lidar measurements of aerosol intensive parameters (lidar ratio, depolarization, backscatter color ratio, and spectral depolarization ratio) are shown to vary with location and aerosol type. A methodology based on observations of known aerosol types is used to qualitatively classify the extensive set of HSRL aerosol measurements into eight separate types. Several examples are presented showing how the aerosol intensive parameters vary with aerosol type and how these aerosols are classified according to this new methodology. The HSRL-based classification reveals vertical variability of aerosol types during the NASA ARCTAS field experiment conducted over Alaska and northwest Canada during 2008. In two examples derived from flights conducted during ARCTAS, the HSRL classification of biomass burning smoke is shown to be consistent with aerosol types derived from coincident airborne in situ measurements of particle size and composition. The HSRL retrievals of AOD and inferences of aerosol types are used to apportion AOD to aerosol type; results of this analysis are shown for several experiments.
引用
收藏
页码:73 / 98
页数:26
相关论文
共 111 条
[1]  
Ackermann J, 1998, J ATMOS OCEAN TECH, V15, P1043, DOI 10.1175/1520-0426(1998)015<1043:TETBRO>2.0.CO
[2]  
2
[3]   Optical and microphysical properties of fresh biomass burning aerosol retrieved by Raman lidar, and star-and sun-photometry [J].
Alados-Arboledas, L. ;
Mueller, D. ;
Guerrero-Rascado, J. L. ;
Navas-Guzman, F. ;
Perez-Ramirez, D. ;
Olmo, F. J. .
GEOPHYSICAL RESEARCH LETTERS, 2011, 38
[4]   Calibration technique for polarization-sensitive lidars [J].
Alvarez, J. M. ;
Vaughan, M. A. ;
Hostetler, C. A. ;
Hunt, W. H. ;
Winker, D. M. .
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2006, 23 (05) :683-699
[5]   Optical characteristics of biomass burning aerosols over Southeastern Europe determined from UV-Raman lidar measurements [J].
Amiridis, V. ;
Balis, D. S. ;
Giannakaki, E. ;
Stohl, A. ;
Kazadzis, S. ;
Koukouli, M. E. ;
Zanis, P. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2009, 9 (07) :2431-2440
[6]   In situ measurement of the aerosol extinction-to-backscatter ratio at a polluted continental site [J].
Anderson, TL ;
Masonis, SJ ;
Covert, DS ;
Charlson, RJ ;
Rood, MJ .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2000, 105 (D22) :26907-26915
[7]  
[Anonymous], 1936, P NATL I SCI INDIA, DOI DOI 10.1007/S13171-019-00164-5
[8]  
[Anonymous], STATISTICS METHODS A
[9]  
[Anonymous], 2007, Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond
[10]   MEASUREMENT OF ATMOSPHERIC AEROSOL EXTINCTION PROFILES WITH A RAMAN LIDAR [J].
ANSMANN, A ;
RIEBESELL, M ;
WEITKAMP, C .
OPTICS LETTERS, 1990, 15 (13) :746-748