Temperature Lidar Based On High Spectral Resolution Technology With Fabry-Perot Interferometer

This research is focused on the high spectral resolution temperature lidar based on a scanning Fabry-Perot interferometer. The basic theory of this thesis is the atmospheric Rayleigh-Brillouin scattering. As demonstrated in this work, the high spectral resolution temperature lidar is insensitive to aerosol contamination, and has other features such as high precision and simple inversion algorithm. This thesis mainly focuses on the following works:1. The history of the temperature lidars are reviewed, followed by an introduction of three typical temperature lidars, namely the rotation Raman lidar, the Rayleigh integral lidar and the resonance fluorescence lidar.2. The classification of the atmospheric molecular scattering spectrum is introduced. The Rayleigh-Brillouin scattering, the rotation Raman scattering and the rotation-vibrating Raman scattering are described in detail.3. The principle of high spectral-resolution temperature lidar based on the Fabry-Perot interferometer is proposed. Particulary, the parameters of the Fabry-Perot interferometer is optimized.4. In a demonstrating experiment, comparison between the high spectral-resolution temperature lidar, a Rayleigh integral lidar and a radiosonde is performed. All results show good agreement. The high spectral-resolution lidar can detect the temperature of the stratosphere effectively.5. The temperature profile detected by the high spectral-resolution temperature lidar is used as one of the key input parameters to Rayleigh Doppler wind lidar. The effects of atmospheric temperature, pressure and aerosol contamination on wind detection is studied. A comprehensive correction, concerning the atmospheric temperature, pressure and the aerosol contamination is proposed. The temperature data below30km is provided by the high spectral-resolution lidar, and the data above30km is provided by the Rayleigh integral lidar. Through the comparison experiments and the continuous observation, we demonstrate that the inversion method is feasible.