globalchange  > 气候变化与战略
DOI: 10.1016/j.atmosenv.2019.117251
论文题名:
Evaluation and improvement of MODIS aerosol optical depth products over China
作者: Li Y.; Shi G.; Sun Z.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 223
语种: 英语
英文关键词: Aerosols ; Image resolution ; Large dataset ; Optical properties ; Quality assurance ; Supercomputers ; AERONET ; Aerosol robotic networks ; China ; Determination coefficients ; Evaluation and improvement ; High spatial resolution ; MODIS ; Quality assurance process ; Radiometers ; AERONET ; aerosol ; algorithm ; Aqua (satellite) ; data set ; MODIS ; optical depth ; spatial resolution ; Terra (satellite) ; aerosol ; algorithm ; China ; comparative study ; controlled study ; geographic distribution ; optical depth ; pollution monitoring ; priority journal ; quality control ; solar radiation ; surface property ; urban area ; China
学科: AERONET ; AOD ; China ; MODIS
中文摘要: In this study, we use the level-1.5 and level-2.0 aerosol optical depth (AOD) from the Aerosol Robotic Network (AERONET) Version 3 dataset at 12 sites in China to evaluate the MODIS Collection 6.1 (C6.1) AOD products retrieved using three distinct algorithms: Dark Target (DT), Deep Blue (DB), and DTB merged from DT and DB from Terra and Aqua. The performance of the three algorithms is evaluated. Based on these evaluations, a simple and efficient AOD retrieval algorithm at a high spatial resolution of 1.0 km for China is proposed. AODs at this spatial resolution over China are then retrieved using the methods of DT and DB, respectively. The evaluation results showed that: (1) there is little difference in the AOD products derived from Terra and Aqua. The differences in the determination coefficient (R2) between the two platforms at most sites are less than 0.05. (2) There are relatively large differences in AODs between the AERONET level-1.5 dataset and MODIS dataset while these differences are mostly filtered out by the quality assurance process of the AERONET level-2.0 dataset. The statistical tests indicate that the MODIS DTB AOD product is generally better than those from the other two algorithms. Using the new algorithm developed in this study, the AODs at a high spatial resolution of 1 km in the whole of China are determined and the results are compared with the MODIS DTB product. The results show that the AODs determined using the new method agree reasonably well with those of the MODIS DTB dataset though the new results have slightly negative biases in the wintertime. However, these negative biases may not be a negative sign due to the fact that the MODIS AODs are subject to a positive bias relative to the AERONET AODs. © 2019 Elsevier Ltd
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160996
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Science to Services, Australian Bureau of Meteorology, Melbourne, Australia

Recommended Citation:
Li Y.,Shi G.,Sun Z.. Evaluation and improvement of MODIS aerosol optical depth products over China[J]. Atmospheric Environment,2020-01-01,223
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Li Y.]'s Articles
[Shi G.]'s Articles
[Sun Z.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Li Y.]'s Articles
[Shi G.]'s Articles
[Sun Z.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Li Y.]‘s Articles
[Shi G.]‘s Articles
[Sun Z.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.