基于WRF模式高光谱分辨率测温激光雷达系统分析  

System analysis of high spectral resolution temperature LiDAR based on WRF model

作　　者：赵延鹏 卜令兵[1] 孙博爱 王元庆 林雪飞 梁琨 ZHAO Yanpeng;BU Lingbing;SUN Boai;WANG Yuanqing;LIN Xuefei;LIANG Kun(Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology,Nanjing 210044,China;College of Electronic Information and Communication,Huazhong University of Science and Technology,Wuhan 430074,China;Meteorological Bureau of Zheng’an County of Guizhou Province,Zheng’an 563400,China)

机构地区：[1]南京信息工程大学气象灾害预警与评估协同创新中心,南京210044 [2]华中科技大学电子信息与通信学院,武汉430074 [3]贵州省正安县气象局,正安563400

出　　处：《激光技术》2024年第1期40-47,共8页Laser Technology

基　　金：民用航天技术预先研究项目(D040107)。

摘　　要：为了解析大气瑞利-布里渊散射光谱并获取0 km~16 km的大气垂直温度廓线,采用基于菲索干涉仪结合光电倍增管阵列的高光谱分辨率测温激光雷达(HSRL)对不同季节环境下的温度反演能力及系统误差进行了理论分析,得到了利用大气瑞利-布里渊散射光谱在结合Tenti S6模型进行拟合的情况下,不同的大气模型对温度廓线拟合的影响结果。结果表明,使用US76大气模型结合Tenti S6模型,经10000次脉冲积分后,在0 km~16 km范围内的最大随机误差为1.1 K;使用天气预报模式(WRF)提供的温压场代替US76模型的温压场进行模拟,随机误差随季节略有不同,春季不超过0.65 K,夏季不超过0.98 K,秋季不超过0.59 K,冬季不超过0.63 K;使用WRF模式进行HSRL系统探测能力评估结果优于使用US76的评估结果,若精选不同天气类型,该方法还可以拓展到评估不同季节下HSRL的随机误差,体现了将WRF模式用于HSRL评估的优势。该研究为HSRL测温系统在不同季节下的工作能力评估提供了参考。In order to analyze the atmospheric Rayleigh-Brillouin scattering spectrum and obtain the vertical temperature profile of the atmosphere from 0 km to 16 km,a high spectral resolution temperature LiDAR(HSRL)based on a Fizeau interferometer combined with a photomultiplier tube array was used.The temperature retrieval ability and system error under different seasonal environments were analyzed theoretically.The results of the influence of different atmospheric models on temperature profile fitting was obtained by using atmospheric Rayleigh-Brillouin scattering spectra combined with Tenti S6 model for fitting.The results indicate that,using the US76 atmospheric model combined with the Tenti S6 model,after 10000 pulse integrations,the maximum random error within the range of 0 km to 16 km is 1.1 K.Using the temperature and pressure field provided by weather research&forecast(WRF)model to replace the temperature and pressure field of US76 model for simulation,the random error varies slightly with seasons,not exceeding 0.65 K in spring,0.98 K in summer,0.59 K in autumn,and 0.63 K in winter.The evaluation results of detection capability of HSRL system by using WRF mode are better than the evaluation results by using US76.If different weather types are selected,this method can also be extended to evaluate the random error of HSRL in different seasons.The advantages of using the WRF model for HSRL evaluation are reflected.This study provides a reference for evaluating the working ability of the HSRL temperature measurement system in different seasons.

关 键 词：大气光学 高光谱分辨率激光雷达 瑞利-布里渊光谱 大气模型 

分 类 号：P414[天文地球—大气科学及气象学] TH958.98[机械工程]