Aerosol remote sensing over land:: A comparison of satellite retrievals using different algorithms and instruments

被引:166
作者
Kokhanovsky, A. A.
Breon, F.-M.
Cacciari, A.
Carboni, E.
Diner, D.
Di Nicolantonio, W.
Grainger, R. G.
Grey, W. M. F.
Hoeller, R.
Lee, K.-H.
Li, Z.
North, P. R. J.
Sayer, A. M.
Thomas, G. E.
von Hoyningen-Huene, W.
机构
[1] Inst environm Phys, D-28334 Bremen, Germany
[2] CEA, DSM, LSCE, ALb Sci Climat & Environm, F-91191 Gif Sur Yvette, France
[3] CNR, ISAC, Inst Atmospher & Climat Sci, I-40129 Bologna, Italy
[4] Clarendon Lab, Oxford OX1 3PU, England
[5] CALTECH, JPL, Pasadena, CA 91109 USA
[6] Swansea Univ, Sch Environm & Soc, Climate & Land Surface Syst Interact Ctr, Swansea SA2 8PP, W Glam, Wales
[7] Fed Environm Agcy, A-1190 Vienna, Austria
[8] Univ Maryland, Earth Syst Sci Interdiscplinary Ctr, College Pk, MD 20742 USA
基金
英国自然环境研究理事会;
关键词
satellite remote sensing; atmospheric optics; aerosols;
D O I
10.1016/j.atmosres.2007.02.008
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
An inter-comparison study of the aerosol optical thickness (AOT) at 0.55 mu m retrieved using different satellite instruments and algorithms based on the analysis of backscattered solar light is presented for a single scene over central Europe on October 13th, 2005. For the first time comparisons have been performed for as many as six instruments on multiple satellite platforms. Ten different algorithms are briefly discussed and inter-compared. It was found that on the scale of a single pixel there can be large differences in AOT retrieved over land using different retrieval techniques and instruments. However, these differences are not as pronounced for the average AOT over land. For instance, the average AOT at 0.55 mu m for the area 7-12E, 49-53N was equal to 0.14 for MISR, NASA MODIS and POLDER algorithms. It is smaller by 0.01 for the ESA MERIS aerosol product and larger by 0.04 for the MERIS BAER algorithm. AOT as derived using AATSR gives on average larger values as compared to all other instruments, while SCIAMACHY retrievals underestimate the aerosol loading. These discrepancies are explained by uncertainties in a priori assumptions used in the different algorithms and differences in the sensor characteristics. Validation against AERONET shows that MERIS provides the most accurate AOT retrievals for this scene. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:372 / 394
页数:23
相关论文
共 57 条
[31]   The MODIS 2.1-mu m channel - Correlation with visible reflectance for use in remote sensing of aerosol [J].
Kaufman, YJ ;
Wald, AE ;
Remer, LA ;
Gao, BC ;
Li, RR ;
Flynn, L .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1997, 35 (05) :1286-1298
[32]   A database of spectral surface reflectivity in the range 335-772 nm derived from 5.5 years of GOME observations [J].
Koelemeijer, RBA ;
de Haan, JF ;
Stammes, P .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D2)
[33]   A fast method for retrieval of cloud parameters using oxygen A band measurements from the Global Ozone Monitoring Experiment [J].
Koelemeijer, RBA ;
Stammes, P ;
Hovenier, JW ;
de Haan, JF .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D4) :3475-3490
[34]   Impact of the smoke aerosol from Russian forest fires on the atmospheric environment over Korea during May 2003 [J].
Lee, KH ;
Kim, JE ;
Kim, YJ ;
Kim, J ;
von Hoyningen-Huene, W .
ATMOSPHERIC ENVIRONMENT, 2005, 39 (01) :85-99
[35]   Influence of land surface effects on MODIS aerosol retrieval using the BAER method over Korea (vol 27, pg 5125, 2006) [J].
Lee, Kwon Ho ;
Kim, Young Joon ;
Von Hoyningen-Huene, Wolfgang ;
Burlow, John P. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (22) :5125-5125
[36]   Effectiveness of the MS-method for computation of the intensity field reflected by a multi-layer plane-parallel atmosphere [J].
Levoni, C ;
Cattani, E ;
Cervino, M ;
Guzzi, R ;
Di Nicolantonio, W .
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2001, 69 (05) :635-650
[37]   Comparison of MISR and AERONET aerosol optical depths over desert sites [J].
Martonchik, JV ;
Diner, DJ ;
Kahn, R ;
Gaitley, B ;
Holben, BN .
GEOPHYSICAL RESEARCH LETTERS, 2004, 31 (16) :L161021-4
[38]   Regional aerosol retrieval results from MISR [J].
Martonchik, JV ;
Diner, DJ ;
Crean, KA ;
Bull, MA .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (07) :1520-1531
[39]  
Nadal F, 1999, IEEE T GEOSCI REMOTE, V37, P1709, DOI 10.1109/36.763292
[40]   Estimation of aerosol opacity and land surface bidirectional reflectance from ATSR-2 dual-angle imagery: Operational method and validation [J].
North, PRJ .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2002, 107 (D12)