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DOI	10.5194/acp-19-7183-2019
	Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products
	Wei J.; Peng Y.; Mahmood R.; Sun L.; Guo J.
发表日期	2019
ISSN	16807316
起始页码	7183
结束页码	7207
卷号	19 期号:10
英文摘要	Satellite-derived aerosol products provide long-term and large-scale observations for analysing aerosol distributions and variations, climate-scale aerosol simulations, and aerosol-climate interactions. Therefore, a better understanding of the consistencies and differences among multiple aerosol products is important. The objective of this study is to compare 11 global monthly aerosol optical depth (AOD) products, which are the European Space Agency Climate Change Initiative (ESA-CCI) Advanced Along-Track Scanning Radiometer (AATSR), Advanced Very High Resolution Radiometer (AVHRR), Multi-angle Imaging SpectroRadiometer (MISR), Moderate Resolution Imaging Spectroradiometer (MODIS), Sea-viewing Wide Field-of-view Sensor (SeaWiFS), Visible Infrared Imaging Radiometer (VIIRS), and POLarization and Directionality of the Earth's Reflectance (POLDER) products. AErosol RObotic NEtwork (AERONET) Version 3 Level 2.0 monthly measurements at 308 sites around the world are selected for comparison. Our results illustrate that the spatial distributions and temporal variations of most aerosol products are highly consistent globally but exhibit certain differences on regional and site scales. In general, the AATSR Dual View (ADV) and SeaWiFS products show the lowest spatial coverage with numerous missing values, while the MODIS products can cover most areas (average of 87 %) of the world. The best performance is observed in September-October-November (SON) and the worst is in June-July-August (JJA). All the products perform unsatisfactorily over northern Africa and Middle East, southern and eastern Asia, and their coastal areas due to the influence from surface brightness and human activities. In general, the MODIS products show the best agreement with the AERONET-based AOD values on different spatial scales among all the products. Furthermore, all aerosol products can capture the correct aerosol trends at most cases, especially in areas where aerosols change significantly. The MODIS products perform best in capturing the global temporal variations in aerosols. These results provide a reference for users to select appropriate aerosol products for their particular studies. © 2019 Author(s).
语种	英语
scopus关键词	aerosol; climate modeling; computer simulation; MODIS; optical depth; satellite data; seasonal variation; spatiotemporal analysis; VIIRS; Africa; Asia; Middle East
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144374
作者单位	Ministry of Education, Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan, Hubei, China; College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China; State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
推荐引用方式 GB/T 7714	Wei J.,Peng Y.,Mahmood R.,et al. Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products[J],2019,19(10).
APA	Wei J.,Peng Y.,Mahmood R.,Sun L.,&Guo J..(2019).Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products.Atmospheric Chemistry and Physics,19(10).
MLA	Wei J.,et al."Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products".Atmospheric Chemistry and Physics 19.10(2019).