Research On Retrieval And Calibration Technique Of Rotational Raman Temperature Measurement Lidar

Atmospheric temperature is one of the important parameters in the field of meteorology and environment,which is closely related to human production and life.The rotational Raman lidar can eliminate the influence of the bottom aerosol,and its spectroscopic system has relativcly simple configuration.It is one of the important instruments for profiling the atmospherie tempcraturc.The traditional rotational Raman relative lemperature measurement teechnique;needs to calibrate with other parallel detection equipment,and is detection accuracy depends on the error of the retrieval algorithm and the calibration data,It can't be used as an independent.instrument to detect the atmospheric tempcrature profile.Firstly.a rotational Rauan tidar system with FPI.blazed graiting and interference filter as the core spcctromters is designed to break away from the limitation of parallel equipment calibration in this thesis.The Stokes brunch and the Anti-Stokes branch are used to Jetect the atmospheric tempcraturc profile by absolute and relative rotational Raman spectroscopy respectively,And optimize the parameters of the speetral spectroscopy system such as the incident angle of the blazed grating and the central wavelength of the filter.Secondly,using the Monte Carlo statistical simulation model.two temperature retrieval algorithms for absolute temperature mcasurement are studied,and it is concluded that the Multi-spectral Optimization Matching Method has higher temerature retricyal accuracy than the Spcctral Envelope Bandwidth Method,Faking simulation data and 18 groups of measured rotational Raman experimental data as objects,it is concluded that the calibration function CF9 has a higher temperature retrieval accuracy than the CF1 in the,process of reltive detection temperature retrieval.Thiirlly.It is necessary to study the calibration teehnique between the two temperuturemeasurement mode data for achieving collaborative derection.in.Using the atmospheric iemperatuee model,the detection pertionce of absolute temperalure measurement is simulated and analyzed,The results show that the absolute detcction distance with a statistical tmeperature error of less than 2 K is 3 km when the 9-minute signal is accumulated.Finally,the calibration technique between the two temperature measurement data is studied.Using 500 groups of absolute temperature profiles by simulation to calibrate the relative temperature Raman signal ratios respectively,the calibration effects under equal weight and inverse error weight of the calibration points are comparative analyzed.The Excellent Calibration Pass Rate of the two calibration methods is 58.2%and 61.6%respectively,The 5 km relative temperature profile can be obtained by selecting the calibration technique of inverse error weighting of calibration points.Based on the overlapping area of the two temperature profiles below 3 km,the error weight method is used to fuse the profiles,and the average statistical error is reduced from more than 0.5 K to 0.42 K.The simulation analysis results show that the designed rotational Raman lidar system can realize absolute and relative cooperative detection,and can independently detect the 5 km atmospheric temperature profile with a statistical error of less than 2 K,which provides a powerful technical support for the independent detection of atmospheric temperature profile by the rotational Raman lidar.