Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain

被引:23
|
作者
Zhu, Jun [1 ,2 ,3 ,4 ]
Xia, Xiangao [1 ,3 ,4 ]
Wang, Jun [2 ,5 ,6 ]
Che, Huizheng [7 ,8 ]
Chen, Hongbin [1 ,4 ]
Zhang, Jinqiang [1 ,3 ,4 ]
Xu, Xiaoguang [2 ,5 ,6 ]
Levy, Robert C. [9 ]
Oo, Min [10 ]
Holz, Robert [10 ]
Ayoub, Mohammed [11 ]
机构
[1] Chinese Acad Sci, Inst Atmospher Phys, LAGEO, Beijing 100029, Peoples R China
[2] Univ Nebraska Lincoln, Dept Earth & Atmospher Sci, Lincoln, NE 68588 USA
[3] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China
[4] Univ Chinese Acad Sci, Coll Earth Sci, Beijing 100049, Peoples R China
[5] Univ Iowa, Dept Chem & Biochem Engn, Ctr Global & Reg Environm Studies, Iowa City, IA 52241 USA
[6] Univ Iowa, Informat Initiat, Iowa City, IA 52241 USA
[7] Chinese Acad Meteorol Sci, CMA, State Key Lab Severe Weather LASW, Beijing 100081, Peoples R China
[8] Chinese Acad Meteorol Sci, CMA, Inst Atmospher Composit, Beijing 100081, Peoples R China
[9] NASA, Goddard Space Flight Ctr, Climate & Radiat Lab, Greenbelt, MD 20771 USA
[10] Univ Wisconsin Madison, Space Sci & Engn Ctr, Madison, WI 53706 USA
[11] Qatar Fdn, Qatar Environm & Energy Res Inst, Ar Rayyan, Qatar
基金
美国国家科学基金会;
关键词
aerosol optical depth; aerosol models; VIIRS; NCP region; MODIS; AERONET; PRODUCTS; NETWORK; URBAN; LAND;
D O I
10.3390/rs9050432
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The first Visible Infrared Imaging Radiometer Suite (VIIRS) was launched on Suomi National Polar-orbiting Partnership (S-NPP) satellite in late 2011. Similar to the Moderate resolution Imaging Spectroradiometer (MODIS), VIIRS observes top-of-atmosphere spectral reflectance and is potentially suitable for retrieval of the aerosol optical depth (AOD). The VIIRS Environmental Data Record data (VIIRS_EDR) is produced operationally by NOAA, and is based on the MODIS atmospheric correction algorithm. The "MODIS-like" VIIRS data (VIIRS_ML) are being produced experimentally at NASA, from a version of the "dark-target" algorithm that is applied to MODIS. In this study, the AOD and aerosol model types from these two VIIRS retrieval algorithms over the North China Plain (NCP) are evaluated using the ground-based CE318 Sunphotometer (CE318) measurements during 2 May 2012-31 March 2014 at three sites. These sites represent three different surface types: urban (Beijing), suburban (XiangHe) and rural (Xinglong). Firstly, we evaluate the retrieved spectral AOD. For the three sites, VIIRS_EDR AOD at 550 nm shows a positive mean bias (MB) of 0.04-0.06 and the correlation of 0.83-0.86, with the largest MB (0.10-0.15) observed in Beijing. In contrast, VIIRS_ML AOD at 550 nm has overall higher positive MB of 0.13-0.14 and a higher correlation (0.93-0.94) with CE318 AOD. Secondly, we evaluate the aerosol model types assumed by each algorithm, as well as the aerosol optical properties used in the AOD retrievals. The aerosol model used in VIIRS_EDR algorithm shows that dust and clean urban models were the dominant model types during the evaluation period. The overall accuracy rate of the aerosol model used in VIIRS_ML over NCP three sites (0.48) is higher than that of VIIRS_EDR (0.27). The differences in Single Scattering Albedo (SSA) at 670 nm between VIIRS_ML and CE318 are mostly less than 0.015, but high seasonal differences are found especially over the Xinglong site. The values of SSA from VIIRS_EDR are higher than that observed by CE318 over all sites and all assumed aerosol modes, with a positive bias of 0.02-0.04 for fine mode, 0.06-0.12 for coarse mode and 0.03-0.05 for bi-mode at 440 nm. The overestimation of SSA but positive AOD MB of VIIRS_EDR indicate that other factors (e.g., surface reflectance characterization or cloud contamination) are important sources of error in the VIIRS_EDR algorithm, and their effects on aerosol retrievals may override the effects from non-ideality in these aerosol models.
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页数:18
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