利用转动拉曼信号和振动拉曼信号获得大气温度廓线和大气湿度廓线,根据大气压力与温度、湿度的相互关系反演得到大气压力廓线。给出了探测大气压力的激光雷达系统及数据反演方法,并对所提方法的可行性进行了论证。研究分析了引起压力反演误差的因素,误差来源主要有三方面:温度偏差、参考点压力偏差和大气比湿。利用拉曼激光雷达系统进行了大气探测及压力反演,反演得到大气压力廓线,并与当天探空压力数据进行了比对分析,得到了较好的反演结果,证明了研究方法的可行性。最后从应用需求角度分析了高精度压力探测对激光雷达系统的性能要求。

Rotational and vibrational Raman signals are used to obtain profiles of atmospheric temperature and humidity, and the atmospheric pressure profile can be retrieved from these. A lidar system for detecting the atmospheric pressure and a method for inverting the data are presented in this paper. The feasibility of the given method and the factors that cause the pressure inversion error are analyzed. There are three main error sources: temperature deviation, reference point pressure deviation, and atmospheric specific humidity. Atmospheric detection and pressure inversion are carried out using a Raman lidar system at Xi'an University of Technology. The retrieved atmospheric pressure profile is compared with the pressure sounding data from the same day and a better inversion result is obtained, thus demonstrating the feasibility of the proposed research method. Finally, the performance requirements for achieving highly precise measurements of atmospheric pressure using a lidar system are analyzed from the perspective of specific applications.