Detection Techniques And Experiments Of Ultraviolet Lidar For Simultaneous Measurement Of Wind And Temperature Proflies

Atmospheric temperature and wind velocity are important parameters to describe the atmospheric state and physical quantities in the meteorology,and affect the atmospheric water cycle,carbon cycle,the exchange of sea and air,various weather phenomena and climate and so on.The simultaneous measurement of atmospheric temperature and wind velocity is the focus in the field of atmospheric science,which directly affects the accuracy of weather forecast and climate model forecast.The simultaneous measurement of atmospheric temperature and wind velocity is one of the key parameters to evaluate the precipitation potential of cloud system.Therefore,the simultaneous measurement of atmospheric temperature and wind velocity is the important scientific research significance and practical application value.Based on the principles of meter scattering Doppler frequency shift wind measurement and Rayleigh scattering Doppler broadening temperature measurement,the detection technology and inversion correction method of wind velocity and temperature by high-spectral-resolution lidar are discussed in this paper.Aiming at the difficult problem of simultaneous detection of atmospheric temperature and wind in the daytime and nighttime,the detection performance advantages of 355nm and 266nm are analyzed through numerical simulation,and the project of ultraviolet high-spectral-resolution lidar in the daytime and nighttime is proposed.The system performance of high-spectral-resolution lidar with 355nm and 266nm excitation wavelengths is analyzed and compared.The effects of detection signal-to-noise ratio,temperature,wind velocity detection error,telescope diameter,wavelength energy and other main parameters on detection distance at different wavelengths are numerically simulated and analyzed,The detection performance in the daytime and nighttime and its advantages and disadvantages of two wavelengths are obtained,which provides a theoretical basis and technical support for the parameter selection and design of the system.The Mie-Rayleigh-scattering lidar system in Ultraviolet wavelength of 355nm and 266nm is developed to verify the influence of optical properties of atmospheric aerosols on detection.The detection ability of aerosol as the verification means is taked,and observation and study the atmosphere in the daytime and nighttime in the troposphere of Xi’an city are developed.The signal to noise ratio of the system is analyzed in the daytime and nighttime.The extinction coefficients are inversed from the Mie-Rayleigh-scattering echo signals obtained from the experimental measurements in different weather conditions.It is verified that 266nm and 3 55nm wavelengths are suitable for atmospheric detection during the day and night,respectively.A system of high-spectral-resolution lidar for simultaneous wind and temperature measurement based on the wavelength of 355nm is proposed and designed based on the principle of atmospheric wind velocity and atmospheric temperature detection.The effective detection range of high-spectral-resolution lidar system for atmospheric wind velocity and temperature is studied through numerical simulation analysis.The influence of wind velocity on temperature detection is described in view of the influence of wind velocity on the detection accuracy of atmospheric temperature.The influence of wind velocity on the detection accuracy of atmospheric temperature is mainly analyzed.The corrected atmospheric wind velocity is obtained by using the method of correcting wind velocity sensitivity.The error caused by wind velocity to temperature detection and the error caused by temperature to wind velocity detection are mainly analyzed.A method to reduce the wind velocity detection error by correcting the real-time wind velocity detection sensitivity is proposed.Based on the theoretical research of wind temperature simultaneous measurement,a high spectral resolution lidar system based on 355nm wavelength is constructed to continuously observe and study the atmospheric wind velocity and temperature at the same time,and the temporal and spatial variation characteristics of atmospheric wind velocity and temperature in the troposphere over Xi’an city are obtained.A high spectral resolution lidar system is constructed by using three high spectral resolution Fabry-Perot etalons to obtain one Mie scattering signal carrying atmospheric wind field information and two Rayleigh scattering signals carrying atmospheric temperature change information.The profiles of atmospheric wind velocity and temperature are obtained by the inversion of datas.Aiming at the wind velocity error caused by the influence of atmospheric temperature on wind velocity,the atmospheric wind velocity profile is obtained by correcting the wind velocity sensitivity.The retrieved data are compared with the radiosonde data,the corrected wind velocity and temperature data in good agreement with the sounding data,which verifies the feasibility of the correction method,inversion algorithm and system detection.