Validation, analysis, and comparison of MISR V23 aerosol optical depth products with MODIS and AERONET observations

被引：18

作者：

Fan, Ruonan ^{[1
]}

Ma, Yingying ^{[1
]}

Jin, Shikuan ^{[1
]}

Gong, Wei ^{[2
]}

Liu, Boming ^{[1
]}

Wang, Weiyan ^{[1
]}

Li, Hui ^{[1
,2
]}

Zhang, Yiqun ^{[1
]}

机构：

[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China

[2] Wuhan Univ, Sch Elect Informat, Wuhan 430079, Peoples R China

来源：

SCIENCE OF THE TOTAL ENVIRONMENT | 2023年 / 856卷

基金：

中国国家自然科学基金;

关键词：

MISR; V23; 4.4; km; Size-resolved AOD; AERONET; MODIS; REGIONAL CLIMATE; GROUND-LEVEL; EAST-ASIA; SATELLITE; DUST; RETRIEVALS; SENSITIVITY; ALGORITHM; IMPACT; CHINA;

D O I：

10.1016/j.scitotenv.2022.159117

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The latest Multi-angle Imaging Spectro Radiometer (MISR) Version (V) 23 aerosol optical depth (AOD) products were released, with an improved spatial resolution of 4.4 km, providing an unprecedented opportunity for the refined regional application. To ensure the reliability of their applications and build a scientific reference for the further optimization, it is imperative to conduct a comprehensive evaluation, especially for the unique size-resolved AOD products: small-size AOD (AOD(S), representing the contribution of fine-mode aerosols), medium-size AOD (AOD(M)), and large-size AOD (AODL), and AOD(M+L) represents the AOD part of coarse-mode aerosols. AErosol RObotic NETwork (AERONET) and MODerate-resolution Imaging Spectroradiometer (MODIS) Collection (C) 6.1 aerosol products from 2001 to 2020 are utilized for the validation, analysis, and inter-comparison, considering three spatial scales and four key factors. In general, MISR V23 aerosol products show a good accuracy compared with AERONET. The best performance for all AOD products appears in forest units (the highest R similar to 0.93, data percentage within Expected Error bounds, %EE > 93), related to the inactive human activity and dark underlying surface. Dependences of retrieval deviations illustrate that the performance of MISR AOD deteriorates as aerosol loading increases. Namely, with the increase of aerosols, total AOD (AOD(T)) and AOD(S) show increasing negative deviations, while increasing positive deviations are observed for AOD(M+L). This suggests that the Empirical Orthogonal Functions do not perform well in this situation, since numerous aerosol particles can obstruct the underlying reflection and reduce the surface spectral contrast. In addition, AOD(T) and AOD(S) often exhibit anomalous positive deviations in areas with low vegetation cover, such as deserts, revealing that MISR will overestimate aerosol content over bright surfaces and in environments dominated by coarse-mode particles. The above findings not only deepen the understanding of MISR aerosols products from multiple perspectives, but also provide useful information for the product improvement.

引用

页数：15

共 105 条

[51] MISR Dark Water aerosol retrievals: operational algorithm sensitivity to particle non-sphericity [J].

Kalashnikova, O. V. ;

Garay, M. J. ;

Martonchik, J. V. ;

Diner, D. J. .

ATMOSPHERIC MEASUREMENT TECHNIQUES, 2013, 6 (08) :2131-2154

[52] A satellite view of aerosols in the climate system [J].

Kaufman, YJ ;

Tanré, D ;

Boucher, O .

NATURE, 2002, 419 (6903) :215-223

[53] Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer [J].

Kaufman, YJ ;

Tanre, D ;

Remer, LA ;

Vermote, EF ;

Chu, A ;

Holben, BN .

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1997, 102 (D14) :17051-17067

[54] The effect of the dynamic surface bareness on dust source function, emission, and distribution [J].

Kim, Dongchul ;

Chin, Mian ;

Bian, Huisheng ;

Tan, Qian ;

Brown, Molly E. ;

Zheng, Tai ;

You, Renjie ;

Diehl, Tomas ;

Ginoux, Paul ;

Kucsera, Tom .

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (02) :871-886

[55] Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS [J].

King, MD ;

Menzel, WP ;

Kaufman, YJ ;

Tanré, D ;

Gao, BC ;

Platnick, S ;

Ackerman, SA ;

Remer, LA ;

Pincus, R ;

Hubanks, PA .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (02) :442-458

[56] An AeroCom initial assessment - optical properties in aerosol component modules of global models [J].

Kinne, S. ;

Schulz, M. ;

Textor, C. ;

Guibert, S. ;

Balkanski, Y. ;

Bauer, S. E. ;

Berntsen, T. ;

Berglen, T. F. ;

Boucher, O. ;

Chin, M. ;

Collins, W. ;

Dentener, F. ;

Diehl, T. ;

Easter, R. ;

Feichter, J. ;

Fillmore, D. ;

Ghan, S. ;

Ginoux, P. ;

Gong, S. ;

Grini, A. ;

Hendricks, J.E. ;

Herzog, M. ;

Horowitz, L. ;

Isaksen, I. ;

Iversen, T. ;

Kirkavag, A. ;

Kloster, S. ;

Koch, D. ;

Kristjansson, J. E. ;

Krol, M. ;

Lauer, A. ;

Lamarque, J. F. ;

Lesins, G. ;

Liu, X. ;

Lohmann, U. ;

Montanaro, V. ;

Myhre, G. ;

Penner, J. E. ;

Pitari, G. ;

Reddy, S. ;

Seland, O. ;

Stier, P. ;

Takemura, T. ;

Tie, X. .

ATMOSPHERIC CHEMISTRY AND PHYSICS, 2006, 6 :1815-1834

[57] Evaluation and utilization of MODIS and CALIPSO aerosol retrievals over a complex terrain in Himalaya [J].

Kumar, Ashish ;

Singh, Narendra ;

Anshumali ;

Solanki, Raman .

REMOTE SENSING OF ENVIRONMENT, 2018, 206 :139-155

[58] An empirical relationship between PM2.5 and aerosol optical depth in Delhi Metropolitan [J].

Kumar, Naresh ;

Chu, Allen ;

Foster, Andrew .

ATMOSPHERIC ENVIRONMENT, 2007, 41 (21) :4492-4503

[59] The Collection 6 MODIS aerosol products over land and ocean [J].

Levy, R. C. ;

Mattoo, S. ;

Munchak, L. A. ;

Remer, L. A. ;

Sayer, A. M. ;

Patadia, F. ;

Hsu, N. C. .

ATMOSPHERIC MEASUREMENT TECHNIQUES, 2013, 6 (11) :2989-3034

[60] Global evaluation of the Collection 5 MODIS dark-target aerosol products over land [J].

Levy, R. C. ;

Remer, L. A. ;

Kleidman, R. G. ;

Mattoo, S. ;

Ichoku, C. ;

Kahn, R. ;

Eck, T. F. .

ATMOSPHERIC CHEMISTRY AND PHYSICS, 2010, 10 (21) :10399-10420

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