Volume 43 Issue 4
Jul.  2023
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Article Navigation >  Chinese Journal of Space Science  > 2023  >  43(4): 627-639 Open Access
WANG Yu, ZHANG Xianzhong, WU Tong, ZHANG Yijian, SUN Yue, LI Shijie, LI Xinqi, ZHONG Kai, YAN Zhaoai, XU Degang, YAO Jianquan. Research on Atmospheric Temperature Retrieval Based on Rayleigh Lidar Using Optimal Estimation Method (in Chinese). Chinese Journal of Space Science, 2023, 43(4): 627-639 doi: 10.11728/cjss2023.04.2022-0035
Citation: WANG Yu, ZHANG Xianzhong, WU Tong, ZHANG Yijian, SUN Yue, LI Shijie, LI Xinqi, ZHONG Kai, YAN Zhaoai, XU Degang, YAO Jianquan. Research on Atmospheric Temperature Retrieval Based on Rayleigh Lidar Using Optimal Estimation Method (in Chinese). Chinese Journal of Space Science, 2023, 43(4): 627-639 doi: 10.11728/cjss2023.04.2022-0035
shu

Research on Atmospheric Temperature Retrieval Based on Rayleigh Lidar Using Optimal Estimation Method

doi: 10.11728/cjss2023.04.2022-0035 cstr: 32142.14.cjss2023.04.2022-0035
  • 1.

    School of Precision Instrument and Optoelectronic Engineering, Tianjin University, Tianjin 300072

  • 2.

    Key Laboratory of Optoelectronic Information Science and Technology (Ministry of Education), Tianjin University, Tianjin 300072

  • 3.

    National Space Science Center, Chinese Academy of Sciences, Beijing 100190

  • 4.

    University of Chinese Academy of Sciences, Beijing 100049

  • Received Date: 2022-07-28
  • Accepted Date: 2023-06-25
  • Rev Recd Date: 2022-11-20
    • Available Online: 2023-06-25
    Abstract
  • The middle atmosphere is detected based on the echo photon signal of Rayleigh lidar, combined with the optimal estimation method, the atmospheric temperature is retrieved. In this paper, the forward model is established based on the Rayleigh scattering lidar equation, the temperature profile of the atmospheric model is selected as the prior state information, and the cost function for optimization is constructed, and the cost function is optimized using the Levenberg-Marquardt optimization algorithm, get the inversion results of atmospheric temperature, and use the average kernel matrix to evaluate the contribution of the real information in the inversion results while analyzing the uncertainty of the inversion results. Using the simulated echo signal generated by the Rayleigh lidar equation, the inversion processing and analysis of the atmospheric temperature is carried out, and the optimal estimation inversion of the atmospheric temperature is carried out on the Rayleigh lidar measured data provided by the National Space Center of the Chinese Academy of Sciences. The results show that the inversion uncertainty below 90 km is within 10 K, and compared with the CH method, the optimal estimation method has the advantage of a higher inversion effective range; the inversion uncertainty is small, and the contribution of real information to the inversion results is dominant.

     

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