Temperature Dependence of the Rayleigh Brillouin Spectrum Linewidth in Air and Nitrogen

Kun Liang; Jiaqi Xu; Peng Zhang; Yuanqing Wang; Qunjie Niu; Li Peng; Bo Zhou

doi:10.3390/s17071503

Temperature Dependence of the Rayleigh Brillouin Spectrum Linewidth in Air and Nitrogen

Sensors (Basel). 2017 Jun 26;17(7):1503. doi: 10.3390/s17071503.

Authors

Kun Liang^{1

2

3}, Jiaqi Xu⁴, Peng Zhang⁵, Yuanqing Wang⁶, Qunjie Niu⁷, Li Peng⁸, Bo Zhou^{9

10}

Affiliations

¹ School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China. liangkun@hust.edu.cn.
² Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, China. liangkun@hust.edu.cn.
³ Laser Centre, Vrije Universiteit (VU), De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands. liangkun@hust.edu.cn.
⁴ School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China. jiaqixu@hust.edu.cn.
⁵ School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China. zhangpeng901@hust.edu.cn.
⁶ Laser Centre, Vrije Universiteit (VU), De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands. yuanqing.wang@vu.nl.
⁷ School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China. eicnqj@hust.edu.cn.
⁸ School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China. pengli@hust.edu.cn.
⁹ School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China. zhoubo@hust.edu.cn.
¹⁰ Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, China. zhoubo@hust.edu.cn.

Abstract

The relation between spontaneous Rayleigh Brillouin (SRB) spectrum linewidth, gas temperature, and pressure are analyzed at the temperature range from 220 to 340 K and the pressure range from 0.1 to 1 bar, covering the stratosphere and troposphere relevant for the Earth's atmosphere and for atmospheric Lidar missions. Based on the analysis, a model retrieving gas temperature from directly measured linewidth is established and the accuracy limitations are estimated. Furthermore, some experimental data of air and nitrogen are used to verify the accuracy of the model. As the results show, the retrieved temperature shows good agreement with the reference temperature, and the absolute difference is less than 3 K, which indicates that this method provides a fruitful tool in satellite retrieval to extract the gaseous properties of atmospheres on-line by directly measuring the SRB spectrum linewidth.

Keywords: Lidar; atmospheric and oceanic optics; atmospheric scattering; remote sensing and sensors; scattering measurements.