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Wind retrieval for genetic algorithm-based coherent Doppler wind lidar employing airborne platform

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Abstract

The method of the maximum function of accumulated spectra based on the genetic algorithm is applied for the first time to three-dimensional (3D) wind field retrieval by Doppler wind lidar on an airborne platform. The algorithm can obtain the 3D wind field directly from the origin spectra of different directions regardless of the radial wind velocity inversion accuracy. To validate the reliability of this algorithm for application on an airborne platform, a 1.54-μm all-fiber airborne pulsed coherent Doppler lidar was installed on an aircraft to conduct field experiments. The measured wind fields were compared with those obtained through the sounding balloon and the ground-based lidar. For the sounding balloon, the average errors of wind speed and the wind direction are 0.539 m/s and 5.12°; while for the ground-based lidar, the average errors are 0.504 m/s and 4.18°, respectively. In addition, the two inversion results are in good consistency by comparison with the least square method. The genetic algorithm shows higher accuracy even though the detectability is low. The proposed algorithm, as an efficient and accurate calculation model, would be a good tool in the airborne platform for wind retrieval.

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Data availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

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Acknowledgements

This work was supported by the Pre-Research Project of Civilian Space under Grant No. D040103. The authors are grateful for the collocated wind lidar.

Author information

Author notes

  1. Lucheng Yuan

    Present address: Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, China

  2. Jiqiao Liu & Weibiao Chen

    Present address: Pilot National Laboratory for Marine Science and Technology, Qingdao, China

Authors and Affiliations

  1. Engineering Research Center of Optical Instrument and System, the Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai, China

    Yuan Zhao & Bo Dai

  2. Space Laser Engineering Department, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Science, Shanghai, China

    Yuan Zhao, Lucheng Yuan, Xiaopeng Zhu, Jiqiao Liu, Xiaolei Zhu & Weibiao Chen

  3. Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, China

    Jiqiao Liu, Xiaolei Zhu & Weibiao Chen

  4. College of Meteorology and Oceanography, National University of Defense Technology, Nanjing, China

    Chunhui Fan

  5. Pilot National Laboratory for Marine Science and Technology, Qingdao, China

    Xiaolei Zhu

  6. Bureau of Major R&D Programs, Chinese Academy of Sciences, Beijing, China

    Weigang Xiao

Authors
  1. Yuan Zhao
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Contributions

Yuan Zhao wrote the main manuscript text and prepared all figures. All authors reviewed the manuscript.

Corresponding author

Correspondence to Xiaopeng Zhu.

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Zhao, Y., Yuan, L., Fan, C. et al. Wind retrieval for genetic algorithm-based coherent Doppler wind lidar employing airborne platform. Appl. Phys. B 129, 36 (2023). https://doi.org/10.1007/s00340-023-07984-2

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