Validation of MODIS derived aerosol optical depth over Western India

被引:64
|
作者
Misra, Amit [1 ]
Jayaraman, A. [1 ]
Ganguly, Dilip [1 ]
机构
[1] Phys Res Lab, Ahmadabad 380009, Gujarat, India
关键词
D O I
10.1029/2007JD009075
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
MODIS (Moderate Resolution Imaging Spectroradiometer) derived aerosol optical depths (AODs) were compared against the ground based observations from Microtops sunphotometer over Ahmedabad (72.5 degrees E, 23.03 degrees N) in Western India. The region is semiarid and poses challenge for the satellite remote sensing of aerosols. Besides comparing the ground truth with the Collection Version 4 of MODIS aerosol product, the paper reports the first ever validation of the updated Collection Version 5 of the MODIS aerosol product over India. The AOD data from Aqua platform is averaged over 0.5 degrees x 0.5 degrees centered at Ahmedabad and compared with the sunphotometer observation taken within half an hour to the satellite overpass time. The Version 4 data comparison showed a large scatter. Further, the comparison for 470 nm and 660 nm behave differently over different years. Overall, the comparison shows considerable improvement in the Collection Version 5 aerosol product. Among seasons, Pre-Monsoon (April to May) has the best correlation and Dry season (December to March) the least. The updated product has scope for further improvement as the correlations are less than unity, and the extent of underestimation for 470 nm is more during Dry and Post-Monsoon seasons whereas that for 660 nm is more during Pre-Monsoon and Monsoon seasons which are dominated by fine and coarse particles respectively. The results show a better surface reflectance parameterization by the MODIS Collection Version 5 algorithm as compared to Version 4 but the aerosol model used in the retrieval algorithm is still not adequate.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Aerosol optical depth trends over different regions of India
    Ramachandran, S.
    Kedia, Sumita
    Srivastava, Rohit
    ATMOSPHERIC ENVIRONMENT, 2012, 49 : 338 - 347
  • [42] Accuracy of MODIS derived AOD over an urban location in Western India
    Misra, Amit
    Jayaraman, A.
    Ganguly, D.
    REMOTE SENSING OF THE ATMOSPHERE AND CLOUDS, 2006, 6408
  • [43] MODIS derived fire characteristics and aerosol optical depth variations during the agricultural residue burning season, north India
    Vadrevu, Krishna Prasad
    Ellicott, Evan
    Badarinath, K. V. S.
    Vermote, Eric
    ENVIRONMENTAL POLLUTION, 2011, 159 (06) : 1560 - 1569
  • [44] Retrieval, validation, and application of the 1-km aerosol optical depth from MODIS measurements over Hong Kong
    Li, CC
    Lau, AKH
    Mao, JT
    Chu, DA
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2005, 43 (11): : 2650 - 2658
  • [45] Monsoon-seasonal validation of MODIS aerosol optical depth and characterization using AERONET observation retrieve over Italy
    Anoruo, C. M.
    ENVIRONMENTAL RESEARCH, 2022, 204
  • [46] Analysis and Validation of the Aerosol Optical Depth of MODIS Products in Gansu Province, Northwest China
    Huang, Fangfang
    Ma, Weiqiang
    Wang, Suichan
    Feng, Chao
    Kong, Xiaoyi
    Liu, Hao
    REMOTE SENSING, 2023, 15 (12)
  • [47] NOAA AVHRR derived aerosol optical depth over land
    Hauser, A
    Oesch, D
    Foppa, N
    Wunderle, S
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2005, 110 (D8) : 1 - 11
  • [48] Comparison of PMCAMx aerosol optical depth predictions over Europe with AERONET and MODIS measurements
    Panagiotopoulou, Antigoni
    Charalampidis, Panagiotis
    Fountoukis, Christos
    Pilinis, Christodoulos
    Pandis, Spyros N.
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2016, 9 (11) : 4257 - 4272
  • [49] Improved estimation of aerosol optical depth from MODIS imagery over land surfaces
    Liang, Shunlin
    Zhong, Bo
    Fang, Hongliang
    REMOTE SENSING OF ENVIRONMENT, 2006, 104 (04) : 416 - 425
  • [50] Aerosol optical depth retrieval in the Arctic region using MODIS data over snow
    Mei, Linlu
    Xue, Yong
    de Leeuw, Gerrit
    von Hoyningen-Huene, Wolfgang
    Kokhanovsky, Alexander A.
    Istomina, Larysa
    Guang, Jie
    Burrows, John P.
    REMOTE SENSING OF ENVIRONMENT, 2013, 128 : 234 - 245