Sensitivity of multiangle imaging to the optical and microphysical properties of biomass burning aerosols

被引:53
作者
Chen, Wei-Ting [1 ]
Kahn, Ralph A. [2 ]
Nelson, David [3 ]
Yau, Kevin [3 ]
Seinfeld, John H. [4 ]
机构
[1] CALTECH, Dept Environm Sci & Engn, Pasadena, CA 91125 USA
[2] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[3] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
[4] CALTECH, Dept Chem Engn, Pasadena, CA 91125 USA
关键词
D O I
10.1029/2007JD009414
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The treatment of biomass burning (BB) carbonaceous particles in the Multiangle Imaging SpectroRadiometer (MISR) Standard Aerosol Retrieval Algorithm is assessed, and algorithm refinements are suggested, based on a theoretical sensitivity analysis and comparisons with near-coincident AERONET measurements at representative BB sites. Over the natural ranges of BB aerosol microphysical and optical properties observed in past field campaigns, patterns of retrieved Aerosol Optical Depth (AOD), particle size, and single scattering albedo (SSA) are evaluated. On the basis of the theoretical analysis, assuming total column AOD of 0.2, over a dark, uniform surface, MISR can distinguish two to three groups in each of size and SSA, except when the assumed atmospheric particles are significantly absorbing (mid-visible SSA similar to 0.84), or of medium sizes ( mean radius similar to 0.13 mu m); sensitivity to absorbing, medium-large size particles increases considerably when the assumed column AOD is raised to 0.5. MISR Research Aerosol Retrievals confirm the theoretical results, based on coincident AERONET inversions under BB-dominated conditions. When BB is externally mixed with dust in the atmosphere, dust optical model and surface reflection uncertainties, along with spatial variability, contribute to differences between the Research Retrievals and AERONET. These results suggest specific refinements to the MISR Standard Aerosol Algorithm complement of component particles and mixtures. They also highlight the importance for satellite aerosol retrievals of surface reflectance characterization, with accuracies that can be difficult to achieve with coupled surface-aerosol algorithms in some higher AOD situations.
引用
收藏
页数:22
相关论文
共 66 条
[1]   Evolution of biomass burning aerosol properties from an agricultural fire in southern Africa [J].
Abel, SJ ;
Haywood, JM ;
Highwood, EJ ;
Li, J ;
Buseck, PR .
GEOPHYSICAL RESEARCH LETTERS, 2003, 30 (15) :ASC1-1
[2]   Integrating and interpreting aerosol observations and models within the PARAGON framework [J].
Ackerman, TP ;
Braverman, AJ ;
Diner, DJ ;
Anderson, TL ;
Kahn, RA ;
Martonchik, JV ;
Penner, JE ;
Rasch, PJ ;
Wielicki, BA ;
Yu, B .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2004, 85 (10) :1523-1533
[3]   Aerosols from biomass burning over the tropical South Atlantic region: Distributions and impacts [J].
Anderson, BE ;
Grant, WB ;
Gregory, GL ;
Browell, EV ;
Collins, JE ;
Sachse, GW ;
Bagwell, DR ;
Hudgins, CH ;
Blake, BR ;
Blake, NJ .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1996, 101 (D19) :24117-24137
[4]   Emission of trace gases and aerosols from biomass burning [J].
Andreae, MO ;
Merlet, P .
GLOBAL BIOGEOCHEMICAL CYCLES, 2001, 15 (04) :955-966
[5]   Estimates of the spectral aerosol single scattering albedo and aerosol radiative effects during SAFARI 2000 [J].
Bergstrom, RW ;
Pilewskie, P ;
Schmid, B ;
Russell, PB .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D13)
[6]   Light absorption by carbonaceous particles: An investigative review [J].
Bond, TC ;
Bergstrom, RW .
AEROSOL SCIENCE AND TECHNOLOGY, 2006, 40 (01) :27-67
[7]   Simulating aerosols using a chemical transport model with assimilation of satellite aerosol retrievals: Methodology for INDOEX [J].
Collins, WD ;
Rasch, PJ ;
Eaton, BE ;
Khattatov, BV ;
Lamarque, JF ;
Zender, CS .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D7) :7313-7336
[8]   Multi-angle Imaging SpectroRadiometer (MISR) - Instrument description and experiment overview [J].
Diner, DJ ;
Beckert, JC ;
Reilly, TH ;
Bruegge, CJ ;
Conel, JE ;
Kahn, RA ;
Martonchik, JV ;
Ackerman, TP ;
Davies, R ;
Gerstl, SAW ;
Gordon, HR ;
Muller, JP ;
Myneni, RB ;
Sellers, PJ ;
Pinty, B ;
Verstraete, MM .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1998, 36 (04) :1072-1087
[9]  
DINER DJ, 2001, D11400 JPL
[10]  
DRAXLER RR, 2003, NOAA ARL READY WEBSI