Raman Lidar for Atmospheric Temperature, Humidity and Aerosols up to Troposphere Height

Yufeng, 王玉峰 Wang; Fei, 高飞 Gao; Chengxuan, 朱承炫 Zhu; Tingyao, 何廷尧 He; Dengxin, 华灯鑫 Hua

doi:10.3788/aos201535.0328004

光学学报

2015

DOI: 10.3788/aos201535.0328004

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Raman Lidar for Atmospheric Temperature, Humidity and Aerosols up to Troposphere Height

王玉峰 Wang Yufeng¹,

高飞 Gao Fei²,

朱承炫 Zhu Chengxuan³

et al.

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Cited by 7 publications

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Observation and analysis of the temperature inversion layer by Raman lidar up to the lower stratosphere

Wang

Cao

et al. 2015

Appl. Opt.

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The vibration-rotational Raman lidar system built in Xi'an, China (34.233°N, 108.911°E) was used to simultaneously detect atmospheric temperature, water vapor, and aerosols under different weather conditions. Temperature measurement examples showed good agreement with radiosonde data in terms of the lapse rates and heights of the inversion layer under the lower stratosphere. The statistical temperature error due to the signal-to-noise ratio is less than 1 K up to a height of 15 km, and is estimated to be less than 3 K below a height of 22 km. High-quality temperature data were collected from 70 nighttime observations from October 2013 to May 2014, and were used to analyze the temperature inversion characteristics at Xi'an, which is a typical city in the northwest of China. The tropopause height over the Xi'an area was almost 17-18 km, and the inversion layer often formed above the cloud layer. In the winter at night, inversions within the boundary layer can easily form with a high occurrence of ∼60% based on 47 nights from 01 November 2013 to 21 January 2014. Continuous observation of atmospheric temperature, water vapor (relative humidity), and aerosols was carried out during one night, and the relevant changes were analyzed in the boundary layer via the joint observation of atmospheric visibility, PM2.5 and PM10 from a ground visibility meter and from a monitoring site, which revealed that the temperature inversion layer has a great influence on the formation of fog and haze during the winter night and early morning.

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Observation and analysis of the temperature inversion layer by Raman lidar up to the lower stratosphere

Wang

Cao

et al. 2015

Appl. Opt.

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Research on an adaptive filter for the Mie lidar signal

et al. 2018

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大气气溶胶粒径分布的多波长激光雷达反演

Li Xiaotao,

Liu Dong,

Xiao Da

et al. 2024

光学学报

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Raman Lidar for Atmospheric Temperature, Humidity and Aerosols up to Troposphere Height

Cited by 7 publications

References 0 publications

Observation and analysis of the temperature inversion layer by Raman lidar up to the lower stratosphere

Observation and analysis of the temperature inversion layer by Raman lidar up to the lower stratosphere

Research on an adaptive filter for the Mie lidar signal

大气气溶胶粒径分布的多波长激光雷达反演

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