title: Measurement and Study of Lidar Ratio by Using a Raman Lidar in Central China.
abstract: We comprehensively evaluated particle lidar ratios (i.e., particle extinction to backscatter ratio) at 532 nm over Wuhan in Central China by using a Raman lidar from July 2013 to May 2015. We utilized the Raman lidar data to obtain homogeneous aerosol lidar ratios near the surface through the Raman method during no-rain nights. The lidar ratios were approximately 57 ± 7 sr, 50 ± 5 sr, and 22 ± 4 sr under the three cases with obviously different pollution levels. The haze layer below 1.8 km has a large particle extinction coefficient (from 5.4e-4 m(-1) to 1.6e-4 m(-1)) and particle backscatter coefficient (between 1.1e-05 m(-1)sr(-1) and 1.7e-06 m(-1)sr(-1)) in the heavily polluted case. Furthermore, the particle lidar ratios varied according to season, especially between winter (57 ± 13 sr) and summer (33 ± 10 sr). The seasonal variation in lidar ratios at Wuhan suggests that the East Asian monsoon significantly affects the primary aerosol types and aerosol optical properties in this region. The relationships between particle lidar ratios and wind indicate that large lidar ratio values correspond well with weak winds and strong northerly winds, whereas significantly low lidar ratio values are associated with prevailing southwesterly and southerly wind.
authors.affiliation: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China. wangweicn@whu.edu.cn.
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China. weigong@whu.edu.cn.|Collaborative Innovation Center for Geospatial Technology, Wuhan 430079, China. weigong@whu.edu.cn.|Hubei Collaborative Innovation Center for High-Efficiency Utilization of Solar Energy, Wuhan 430068, China. weigong@whu.edu.cn.
authors.forename: Wei
authors.initials: W
authors.lastname: Gong
authors.affiliation: Collaborative Innovation Center for Geospatial Technology, Wuhan 430079, China. maofeiyue@whu.edu.cn.|Hubei Collaborative Innovation Center for High-Efficiency Utilization of Solar Energy, Wuhan 430068, China. maofeiyue@whu.edu.cn.|School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China. maofeiyue@whu.edu.cn.
authors.forename: Feiyue
authors.initials: F
authors.lastname: Mao
authors.affiliation: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China. pzx@whu.edu.cn.
authors.forename: Zengxin
authors.initials: Z
authors.lastname: Pan
authors.affiliation: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China. liuboming@whu.edu.cn.
authors.forename: Boming
authors.initials: B
authors.lastname: Liu
mesh_terms: D000336:Aerosols / Q000032:analysis*; D000397:Air Pollution / Q000032:analysis*; D002681:China; D004784:Environmental Monitoring / Q000379:methods* / Q000592:standards / Q000706:statistics & numerical data; D012621:Seasons; D014919:Wind
chemical_list: D000336:Aerosols
keywords: aerosol; lidar ratio; monsoon; wind