| Temperature is a basic parameter for reaching on atmosphere. The scale and methods need to be enhanced to measure atmospheric temperature in order to study greenhouse effect, urban heat island effect, temperature inversion layer, gravity wave and so on. Especially, the tropospheric temperature is more important for the human being activities.This thesis mainly researchs on the method to measure tropospheric temperature using iodine filters with lidar system. Iodine filters are used to reject aerosol scattering signal and analyze the spectrum of Cabannes scattering. The signal received by telescope is sent to an iodine filter to absorb aerosol scattering signal, then it passes through another iodine filter to distinguish the left Cabannes scattering signal. At last, the atmospheric temperature can be retrieved according to Cabannes scattering.S6 model is used to analyze the relation of Cabannes scattering and atmospheric temperature. This model is better than Gauss model to use for troposphere. Cabannes scattering spectra for different altitude are given out according to standard air model in this thesis. For the complexity of Cabannes model, it is difficult to use when retrieve temperature. So, it is simplified by Taylor series expansion. Atmospheric temperature and pressure can be obtained using self-consistent method. The measurement sensitivity and signal-to-noise ratio are analyzed also.The temperature lidar experiment system is built based on incoherent Doppler wind lidar of Ocean University of China. The main receiving instruments are connected with fibers. The advantage of this system is that it can measure atmospheric temperature, wind and aerosol mixing ratio simultaneously.In conclusion, the relation of Cabannes scattering and temperature is discussed firstly, then introduce the method to measure atmospheric temperature using iodine filters and measurement sensitivity. The lidar system has been set up to measure atmospheric temperature. |
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