An AERONET-based aerosol classification using the Mahalanobis distance

被引:84
作者
Hamill, Patrick [1 ,2 ]
Giordano, Marco [3 ,4 ]
Ward, Carolyne [5 ]
Giles, David [6 ]
Holben, Brent [6 ]
机构
[1] San Jose State Univ, San Jose, CA 95192 USA
[2] NASA, Ames Res Ctr, Moffett Field, CA 94035 USA
[3] Univ Nevada, Reno, NV 89557 USA
[4] Desert Res Inst, Reno, NV USA
[5] Calif State Univ Long Beach, Long Beach, CA 90840 USA
[6] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA
关键词
Atmospheric aerosols; Aerosol typing; AERONET; Mahalanobis distance; Seasonal aerosol variation; High AOD events; OPTICAL-PROPERTIES; ABSORPTION; TRANSPORT; POLLUTION; MIXTURES; NETWORK; MODELS; DUST; SIZE; SUN;
D O I
10.1016/j.atmosenv.2016.06.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We present an aerosol classification based on AERONET aerosol data from 1993 to 2012. We used the AERONET Level 2.0 almucantar aerosol retrieval products to define several reference aerosol clusters which are characteristic of the following general aerosol types: Urban-Industrial, Biomass Burning, Mixed Aerosol, Dust, and Maritime. The classification of a particular aerosol observation as one of these aerosol types is determined by its five-dimensional Mahalanobis distance to each reference cluster. We have calculated the fractional aerosol type distribution at 190 AERONET sites, as well as the monthly variation in aerosol type at those locations. The results are presented on a global map and individually in the supplementary material. Our aerosol typing is based on recognizing that different geographic regions exhibit characteristic aerosol types. To generate reference clusters we only keep data points that lie within a Mahalanobis distance of 2 from the centroid. Our aerosol characterization is based on the AERONET retrieved quantities, therefore it does not include low optical depth values. The analysis is based on "point sources" (the AERONET sites) rather than globally distributed values. The classifications obtained will be useful in interpreting aerosol retrievals from satellite borne instruments. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:213 / 233
页数:21
相关论文
共 61 条
[1]   Physical and chemical properties of the regional mixed layer of Mexico's Megapolis [J].
Baumgardner, D. ;
Grutter, M. ;
Allan, J. ;
Ochoa, C. ;
Rappenglueck, B. ;
Russell, L. M. ;
Arnott, P. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2009, 9 (15) :5711-5727
[2]   Spectral absorption properties of atmospheric aerosols [J].
Bergstrom, R. W. ;
Pilewskie, P. ;
Russell, P. B. ;
Redemann, J. ;
Bond, T. C. ;
Quinn, P. K. ;
Sierau, B. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2007, 7 (23) :5937-5943
[3]  
Bohren C.F., 1983, ABSORPTION SCATTERIN, P530
[4]   Aerosol classification using airborne High Spectral Resolution Lidar measurements - methodology and examples [J].
Burton, S. P. ;
Ferrare, R. A. ;
Hostetler, C. A. ;
Hair, J. W. ;
Rogers, R. R. ;
Obland, M. D. ;
Butler, C. F. ;
Cook, A. L. ;
Harper, D. B. ;
Froyd, K. D. .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2012, 5 (01) :73-98
[5]   Variability of aerosol and spectral lidar and backscatter and extinction ratios of key aerosol types derived from selected Aerosol Robotic Network locations [J].
Cattrall, C ;
Reagan, J ;
Thome, K ;
Dubovik, O .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2005, 110 (D10) :1-13
[6]   Biomass burning contribution to Beijing aerosol [J].
Cheng, Y. ;
Engling, G. ;
He, K. -B. ;
Duan, F. -K. ;
Ma, Y. -L. ;
Du, Z. -Y. ;
Liu, J. -M. ;
Zheng, M. ;
Weber, R. J. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2013, 13 (15) :7765-7781
[7]   Tropical cirrus cloud contamination in sun photometer data [J].
Chew, Boon Ning ;
Campbell, James R. ;
Reid, Jeffrey S. ;
Giles, David M. ;
Welton, Ellsworth J. ;
Salinas, Santo V. ;
Liew, Soo Chin .
ATMOSPHERIC ENVIRONMENT, 2011, 45 (37) :6724-6731
[8]   Biomass burning and urban air pollution over the Central Mexican Plateau [J].
Crounse, J. D. ;
DeCarlo, P. F. ;
Blake, D. R. ;
Emmons, L. K. ;
Campos, T. L. ;
Apel, E. C. ;
Clarke, A. D. ;
Weinheimer, A. J. ;
McCabe, D. C. ;
Yokelson, R. J. ;
Jimenez, J. L. ;
Wennberg, P. O. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2009, 9 (14) :4929-4944
[9]  
Curier R.L., 2008, J GEOPHYS RES, V1134, P2008
[10]   A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements [J].
Dubovik, O ;
King, MD .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2000, 105 (D16) :20673-20696