Arid
DOI10.3390/rs11202334
Variability of Major Aerosol Types in China Classified Using AERONET Measurements
Zhang, Lu; Li, Jing
通讯作者Li, Jing
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2019
卷号11期号:20
英文摘要Aerosol type is a critical piece of information in both aerosol forcing estimation and passive satellite remote sensing. However, the major aerosol types in China and their variability is still less understood. This work uses direct sun measurements and inversion derived parameters from 47 sites within the Aerosol Robotic Network (AERONET) in China, with more than 39,000 records obtained between April 1998 and January 2017, to identify dominant aerosol types using two independent methods, namely, K means and Self Organizing Map (SOM). In total, we define four aerosol types, namely, desert dust, scattering mixed, absorbing mixed and scattering fine, based on their optical and microphysical characteristics. Seasonally, dust aerosols mainly occur in the spring and over North and Northwest China; scattering mixed are more common in the spring and summer, whereas absorbing aerosols mostly occur in the autumn and winter during heating period, and scattering fine aerosols have their highest occurrence frequency in summer over East China. Based on their spatial and temporal distribution, we also generate seasonal aerosol type maps that can be used for passive satellite retrieval. Compared with the global models used in most satellite retrieval algorithms, the unique feature of East Asian aerosols is the curved single scattering albedo spectrum, which could be related to the mixing of black carbon with dust or organic aerosols.
英文关键词aerosol type classification spatial and temporal variability
类型Article
语种英语
国家Peoples R China
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000498395800002
WOS关键词OPTICAL-PROPERTIES ; MODIS ; RETRIEVAL ; NETWORK ; ABSORPTION ; PRODUCTS ; DEPTH
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
EI主题词2019-10-01
来源机构北京大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/310190
作者单位Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Lu,Li, Jing. Variability of Major Aerosol Types in China Classified Using AERONET Measurements[J]. 北京大学,2019,11(20).
APA Zhang, Lu,&Li, Jing.(2019).Variability of Major Aerosol Types in China Classified Using AERONET Measurements.REMOTE SENSING,11(20).
MLA Zhang, Lu,et al."Variability of Major Aerosol Types in China Classified Using AERONET Measurements".REMOTE SENSING 11.20(2019).
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