title: [Raman Lidar measuring tropospheric temperature profiles with many rotational Raman lines].
abstract: Due to lower tropospheric aerosols, the Rayleigh and vibrational Raman methods can't measure lower tropospheric temperature profiles accurately. By using N2 and O2 molecular pure rotational Raman scattering signals, lower tropospheric temperature profiles can be gained without influence of lower tropospheric aerosols. So we decide to use a pure rotational Raman Lidar to get lower tropospheric temperature profiles. At present, because the most light-splitting systems of pure rotational Raman Lidar measure temperature by gaining a single rotational Raman line, the signal to noise ratio (SNR) of these Lidar systems are very low. So we design a new kind of Lidar light-splitting system which can sum different rotational Raman lines and it can improve SNR And we can find the sensitivity of the temperature of the ratios of multi rotational Raman lines is as same as single rotational Raman line's through theoretical analysis. Moreover, we can obtain the temperature profiles with good SNR fromthis new the system with a normal laser and a small telescope up to several kilometers. At last, with the new light-splitting system, the lower tropospheric temperature profiles are measured from 0.3 km to 5 km altitude. They agree well with radiosonde observations, which demonstrate the results of our rotational Raman lidar are reasonable.
authors.affiliation: Key Lab of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China. sujia0804@163.com
authors.forename: Jia
authors.initials: J
authors.lastname: Su
authors.forename: Yin-chao
authors.initials: YC
authors.lastname: Zhang
authors.forename: Shun-xing
authors.initials: SX
authors.lastname: Hu
authors.forename: Kai-fa
authors.initials: KF
authors.lastname: Cao
authors.forename: Pei-tao
authors.initials: PT
authors.lastname: Zhao
authors.forename: Shao-lin
authors.initials: SL
authors.lastname: Wang
authors.forename: Jun
authors.initials: J
authors.lastname: Xie