中国物理B ›› 2015, Vol. 24 ›› Issue (9): 94212-094212.doi: 10.1088/1674-1056/24/9/094212

• ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS • 上一篇    下一篇

Comprehensive wind correction for a Rayleigh Doppler lidar from atmospheric temperature and pressure influences and Mie contamination

上官明佳a, 夏海云a b c, 窦贤康a b, 王冲a, 裘家伟a, 张云鹏a, 舒志峰a b, 薛向辉a b   

  1. a CAS Key Laboratory of Geospace Environment, University of Science and Technology of China, Hefei 230026, China;
    b Mengcheng National Geophysical Observatory, School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China;
    c Collaborative Innovation Center of Astronautical Science and Technology, Harbin Institute of Technology, Harbin 150001, China
  • 收稿日期:2015-01-15 修回日期:2015-03-06 出版日期:2015-09-05 发布日期:2015-09-05
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 41174131, 41274151, 41304123, 41121003 and 41025016).

Comprehensive wind correction for a Rayleigh Doppler lidar from atmospheric temperature and pressure influences and Mie contamination

Shangguan Ming-Jia (上官明佳)a, Xia Hai-Yun (夏海云)a b c, Dou Xian-Kang (窦贤康)a b, Wang Chong (王冲)a, Qiu Jia-Wei (裘家伟)a, Zhang Yun-Peng (张云鹏)a, Shu Zhi-Feng (舒志峰)a b, Xue Xiang-Hui (薛向辉)a b   

  1. a CAS Key Laboratory of Geospace Environment, University of Science and Technology of China, Hefei 230026, China;
    b Mengcheng National Geophysical Observatory, School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China;
    c Collaborative Innovation Center of Astronautical Science and Technology, Harbin Institute of Technology, Harbin 150001, China
  • Received:2015-01-15 Revised:2015-03-06 Online:2015-09-05 Published:2015-09-05
  • Contact: Xia Hai-Yun E-mail:hsia@ustc.edu.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 41174131, 41274151, 41304123, 41121003 and 41025016).

RichHTML

0

PDF (PC)

343

赞

摘要： A correction considering the effects of atmospheric temperature, pressure, and Mie contamination must be performed for wind retrieval from a Rayleigh Doppler lidar (RDL), since the so-called Rayleigh response is directly related to the convolution of the optical transmission of the frequency discriminator and the Rayleigh-Brillouin spectrum of the molecular backscattering. Thus, real-time and on-site profiles of atmospheric pressure, temperature, and aerosols should be provided as inputs to the wind retrieval. Firstly, temperature profiles under 35 km and above the altitude are retrieved, respectively, from a high spectral resolution lidar (HSRL) and a Rayleigh integration lidar (RIL) incorporating to the RDL. Secondly, the pressure profile is taken from the European Center for Medium range Weather Forecast (ECMWF) analysis, while radiosonde data are not available. Thirdly, the Klett-Fernald algorithms are adopted to estimate the Mie and Rayleigh components in the atmospheric backscattering. After that, the backscattering ratio is finally determined in a nonlinear fitting of the transmission of the atmospheric backscattering through the Fabry-Perot interferometer (FPI) to a proposed model. In the validation experiments, wind profiles from the lidar show good agreement with the radiosonde in the overlapping altitude. Finally, a continuous wind observation shows the stability of the correction scheme.

关键词: Rayleigh Doppler lidar, Rayleigh-Brillouin spectrum, temperature, pressure, Mie contamination

Abstract: A correction considering the effects of atmospheric temperature, pressure, and Mie contamination must be performed for wind retrieval from a Rayleigh Doppler lidar (RDL), since the so-called Rayleigh response is directly related to the convolution of the optical transmission of the frequency discriminator and the Rayleigh-Brillouin spectrum of the molecular backscattering. Thus, real-time and on-site profiles of atmospheric pressure, temperature, and aerosols should be provided as inputs to the wind retrieval. Firstly, temperature profiles under 35 km and above the altitude are retrieved, respectively, from a high spectral resolution lidar (HSRL) and a Rayleigh integration lidar (RIL) incorporating to the RDL. Secondly, the pressure profile is taken from the European Center for Medium range Weather Forecast (ECMWF) analysis, while radiosonde data are not available. Thirdly, the Klett-Fernald algorithms are adopted to estimate the Mie and Rayleigh components in the atmospheric backscattering. After that, the backscattering ratio is finally determined in a nonlinear fitting of the transmission of the atmospheric backscattering through the Fabry-Perot interferometer (FPI) to a proposed model. In the validation experiments, wind profiles from the lidar show good agreement with the radiosonde in the overlapping altitude. Finally, a continuous wind observation shows the stability of the correction scheme.

Key words: Rayleigh Doppler lidar, Rayleigh-Brillouin spectrum, temperature, pressure, Mie contamination

中图分类号:  (Remote sensing; LIDAR and adaptive systems)

  • 42.68.Wt
42.79.Qx (Range finders, remote sensing devices; laser Doppler velocimeters, SAR, And LIDAR)