MODIS 3 km and 10 km aerosol optical depth for China: Evaluation and comparison
被引:61
作者:
He, Qingqing
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Chinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China
Chinese Univ Hong Kong, Big Data Decis Analyt BDDA Res Ctr, Shatin, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China
He, Qingqing
[1
,2
]
Zhang, Ming
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机构:
Wuhan Univ Technol, Sch Resources & Environm Engn, Wuhan 430070, Peoples R ChinaChinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China
Zhang, Ming
[3
]
Huang, Bo
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Chinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China
Chinese Univ Hong Kong, Big Data Decis Analyt BDDA Res Ctr, Shatin, Hong Kong, Peoples R China
Chinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518172, Peoples R ChinaChinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China
Huang, Bo
[1
,2
,4
]
Tong, Xuelian
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Chinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China
Tong, Xuelian
[1
]
机构:
[1] Chinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China
[2] Chinese Univ Hong Kong, Big Data Decis Analyt BDDA Res Ctr, Shatin, Hong Kong, Peoples R China
[3] Wuhan Univ Technol, Sch Resources & Environm Engn, Wuhan 430070, Peoples R China
[4] Chinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518172, Peoples R China
scale aerosol optical depth (AOD) distribution, the 3 km product, which is expected to perform well in analyzing aerosols and identifying local air pollution, especially in the severely polluted atmosphere of China. However, few detailed evaluations of regional variations have been conducted. In this paper, we evaluate MODIS 3 km and 10 km AOD products for China against ground-based measurements and compare their performance with respect to spatial and temporal variations. The ground validations indicate that the two products are generally correlated well to ground-based observations. Spatially, the 3 km product slightly outperform the 10 km product in well-developed areas of southern China. Temporally, both products perform worse during spring and summer. Atmospheric clouds and underlying surface are two key factors that influence the accuracy and number of retrievals for both products. The comparison analysis reveals the newly introduced AOD product clearly shows good relationships with the coarse resolution retrievals in spatial and temporal variation but significant differences regarding details. The 3 km AOD product provides better aerosol gradients, more retrievals in bare areas of western China and some spikes of diurnal variation in cloudy days. Seasonal comparisons show the 3 km AOD product is higher than the 10 km product in all seasons, especially during spring and summer. Although the 3 km product for China generally performs slightly worse than the 10 km product, the added information of the MODIS 3 km AOD product shows potential for studying local aerosol characterization, and may facilitate studies of air pollution. (C) 2017 Elsevier Ltd. All rights reserved.
机构:
Chinese Acad Sci, Jointly Sponsored Inst Remote Sensing & Digital E, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Being Normal Univ, Beijing 100101, Peoples R China
Ctr Applicat Spatial Informat Technol Publ Hlth, Beijing 100101, Peoples R ChinaChinese Acad Sci, Jointly Sponsored Inst Remote Sensing & Digital E, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Cao, Chunxiang
Zheng, Sheng
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机构:
Chinese Acad Sci, Jointly Sponsored Inst Remote Sensing & Digital E, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Being Normal Univ, Beijing 100101, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Jointly Sponsored Inst Remote Sensing & Digital E, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Zheng, Sheng
Singh, Ramesh P.
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机构:
Chapman Univ, Schmid Coll Sci & Technol, Sch Earth & Environm Sci, Orange, CA 92866 USAChinese Acad Sci, Jointly Sponsored Inst Remote Sensing & Digital E, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
机构:
Chinese Acad Sci, Jointly Sponsored Inst Remote Sensing & Digital E, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Being Normal Univ, Beijing 100101, Peoples R China
Ctr Applicat Spatial Informat Technol Publ Hlth, Beijing 100101, Peoples R ChinaChinese Acad Sci, Jointly Sponsored Inst Remote Sensing & Digital E, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Cao, Chunxiang
Zheng, Sheng
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h-index: 0
机构:
Chinese Acad Sci, Jointly Sponsored Inst Remote Sensing & Digital E, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Being Normal Univ, Beijing 100101, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Jointly Sponsored Inst Remote Sensing & Digital E, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Zheng, Sheng
Singh, Ramesh P.
论文数: 0引用数: 0
h-index: 0
机构:
Chapman Univ, Schmid Coll Sci & Technol, Sch Earth & Environm Sci, Orange, CA 92866 USAChinese Acad Sci, Jointly Sponsored Inst Remote Sensing & Digital E, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China