MODIS 3 km aerosol product: algorithm and global perspective

被引:306
作者
Remer, L. A. [1 ]
Mattoo, S. [2 ,3 ]
Levy, R. C. [2 ]
Munchak, L. A. [2 ,3 ]
机构
[1] Univ Maryland Baltimore Cty, Joint Ctr Earth Syst Technol JCET, Baltimore, MD 21228 USA
[2] NASA, Climate & Radiat Lab, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[3] Sci Syst & Applicat Inc, Lanham, MD 20709 USA
关键词
OPTICAL DEPTH; LAND; VALIDATION; POLLUTION; CLOUDS; URBAN; DUST; MASK;
D O I
10.5194/amt-6-1829-2013
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
After more than a decade of producing a nominal 10 km aerosol product based on the dark target method, the MODerate resolution Imaging Spectroradiometer (MODIS) aerosol team will be releasing a nominal 3 km product as part of their Collection 6 release. The new product differs from the original 10 km product only in the manner in which reflectance pixels are ingested, organized and selected by the aerosol algorithm. Overall, the 3 km product closely mirrors the 10 km product. However, the finer resolution product is able to retrieve over the ocean closer to islands and coastlines, and is better able to resolve fine aerosol features such as smoke plumes over both ocean and land. In some situations, it provides retrievals over entire regions that the 10 km product barely samples. In situations traditionally difficult for the dark target algorithm such as over bright or urban surfaces, the 3 km product introduces isolated spikes of artificially high aerosol optical depth (AOD) that the 10 km algorithm avoids. Over land, globally, the 3 km product appears to be 0.01 to 0.02 higher than the 10 km product, while over ocean, the 3 km algorithm is retrieving a proportionally greater number of very low aerosol loading situations. Based on collocations with ground-based observations for only six months, expected errors associated with the 3 km land product are determined to be greater than that of the 10 km product: +/- 0.05 +/- 0.20 AOD. Over ocean, the suggestion is for expected errors to be the same as the 10 km product: +/- 0.03 +/- 0.05 AOD, but slightly less accurate in the coastal zone. The advantage of the product is on the local scale, which will require continued evaluation not addressed here. Nevertheless, the new 3 km product is expected to provide important information complementary to existing satellite-derived products and become an important tool for the aerosol community.
引用
收藏
页码:1829 / 1844
页数:16
相关论文
共 54 条
[1]  
Ackerman S, 2010, ALGORITHM THEORETICA
[2]   Improving national air quality forecasts with satellite aerosol observations [J].
Al-Saadi, J ;
Szykman, J ;
Pierce, RB ;
Kittaka, C ;
Neil, D ;
Chu, DA ;
Remer, L ;
Gumley, L ;
Prins, E ;
Weinstock, L ;
MacDonald, C ;
Wayland, R ;
Dimmick, F ;
Fishman, J .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2005, 86 (09) :1249-+
[3]  
Anderson TL, 2003, J ATMOS SCI, V60, P119, DOI 10.1175/1520-0469(2003)060<0119:MVOTA>2.0.CO
[4]  
2
[5]   MODIS aerosol optical depth Retrievals with high spatial resolution over an urban area using the critical reflectance [J].
Castanho, Andrea D. de Almeida ;
Martins, J. Vanderlei ;
Artaxo, Paulo .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2008, 113 (D2)
[6]  
Charlson RJ, 2007, TELLUS B, V59, P715, DOI 10.1111/J.1600-0889.2007.00297.x
[7]   Satellite-based assessment of top of atmosphere anthropogenic aerosol radiative forcing over cloud-free oceans [J].
Christopher, Sundar A. ;
Zhang, Jianglong ;
Kaufman, Yoram J. ;
Remer, Lorraine A. .
GEOPHYSICAL RESEARCH LETTERS, 2006, 33 (15)
[8]   Global monitoring of air pollution over land from the Earth Observing System-Terra Moderate Resolution Imaging Spectroradiometer (MODIS) [J].
Chu, DA ;
Kaufman, YJ ;
Zibordi, G ;
Chern, JD ;
Mao, J ;
Li, CC ;
Holben, BN .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D21)
[9]   Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols [J].
Eck, TF ;
Holben, BN ;
Reid, JS ;
Dubovik, O ;
Smirnov, A ;
O'Neill, NT ;
Slutsker, I ;
Kinne, S .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1999, 104 (D24) :31333-31349
[10]   Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality [J].
Engel-Cox, JA ;
Holloman, CH ;
Coutant, BW ;
Hoff, RM .
ATMOSPHERIC ENVIRONMENT, 2004, 38 (16) :2495-2509