干旱区生态环境知识资源中心(Arid): MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison

Arid

DOI	10.1016/j.atmosenv.2018.12.004
	MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison
	Wei, Jing 1; Li, Zhanqing 1,2; Peng, Yiran 3; Sun, Lin 4
通讯作者	Li, Zhanqing
来源期刊	ATMOSPHERIC ENVIRONMENT
ISSN	1352-2310
EISSN	1873-2844
出版年	2019
卷号	201 页码:428-440
英文摘要	Recently, the newest Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6.1 (C6.1) aerosol optical depth (AOD) products were available with various refinements and improvements made to both the radiation calibration and Dark Target (DT) and Deep Blue (DB) algorithms. A combined DT and DB dataset (DTB) was also added based on piecewise fixed thresholds using the Normalized Difference Vegetation Index (NDVI) for taking advantage of one's merits. This study provides a cross-comparison and evaluation of these Terra MODIS aerosol products with reference to the enhanced ground-based AOD measurements by the Aerosol Robotic Network (AERONET) Level 3 Version 2.0 data at 384 ground stations. Their absolute and relative performance are evaluated in the period of 2013-2017 among the products, as well as between the current (C6.1) and previous (C6) releases. In general, the C6.1 aerosol products are found to be superior over the C6 products for three datasets from all scales, but the differences and improvements are rather non-uniform that varies with region. Overall, the DB AOD products show the best performance in most regions at about half of the sites, especially in Europe and North America. Meanwhile, besides bright surfaces (i.e., deserts and arid/semi-arid areas), DB products match more closely with the AERONET AODs than that of DT over medium or densely vegetated areas. The dependences of retrieval errors illustrate that the performance of three datasets deteriorates as surface reflectance, elevation and aerosol loading increase. However, the DB algorithm remains relatively more stable and less affected by changes in atmospheric and surface conditions. While the merged product using NDVI has some improvements over individual ones in general, worse performance is also shown in many cases. A more optimal method is thus wanting.
英文关键词	MODIS Collection 6.1 AERONET Level 3 Version 2.0 DT DB DTB
类型	Article
语种	英语
国家	Peoples R China ; USA
收录类别	SCI-E
WOS记录号	WOS:000459837900040
WOS关键词	REFLECTANCE ; ALGORITHM ; PM2.5
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
来源机构	北京师范大学 ; 清华大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/214490
作者单位	1.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing, Peoples R China; 2.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, Dept Atmospher & Ocean Sci, College Pk, MD USA; 3.Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing, Peoples R China; 4.Shandong Univ Sci & Technol, Coll Geomat, Qingdao, Peoples R China
推荐引用方式 GB/T 7714	Wei, Jing,Li, Zhanqing,Peng, Yiran,et al. MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison[J]. 北京师范大学, 清华大学,2019,201:428-440.
APA	Wei, Jing,Li, Zhanqing,Peng, Yiran,&Sun, Lin.(2019).MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison.ATMOSPHERIC ENVIRONMENT,201,428-440.
MLA	Wei, Jing,et al."MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison".ATMOSPHERIC ENVIRONMENT 201(2019):428-440.