• Acta Optica Sinica
  • Vol. 42, Issue 24, 2401002 (2022)
Bingyi Liu1、2、*, Qiang Wen1, Qichao Wang1, Kailin Zhang1, Songhua Wu1、2, and Junwu Tang3
Author Affiliations
  • 1Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, Shandong , China
  • 2Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, Shandong , China
  • 3Engineering Department of Guanlan Satellite for Ocean Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, Shandong , China
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    DOI: 10.3788/AOS202242.2401002 Cite this Article Set citation alerts
    Bingyi Liu, Qiang Wen, Qichao Wang, Kailin Zhang, Songhua Wu, Junwu Tang. Inversion Method for Low-Altitude Wind Profile Based on Floating Doppler Lidar[J]. Acta Optica Sinica, 2022, 42(24): 2401002 Copy Citation Text show less

    Abstract

    Lidar is able to provide atmospheric wind field data with high spatial-and-temporal resolution. To improve the observation precision of lidars on offshore buoys and other moving platforms, an inversion algorithm for the wind field in the marine atmospheric boundary layer based on a floating wind lidar system is investigated. With the data observed by the self-developed floating wind lidar system, the methods of correcting the attitude and radial velocity of the buoy platform, the velocity-azimuth display (VAD)-based inversion method for the wind field, and the data quality control method are employed to improve the accuracy of the inversion results of wind profiles. The results of the simultaneous observation experiments are compared with the inversion results of the wind profiles for verification. The comparison shows that the matching errors in the horizontal wind speed and wind direction are 0.3 m/s and 2.0°, respectively, and the coefficients of determination of the two factors are 0.986 and 0.996, respectively, indicating the accuracy of the proposed inversion algorithm for wind profiles based on floating lidar.
    Bingyi Liu, Qiang Wen, Qichao Wang, Kailin Zhang, Songhua Wu, Junwu Tang. Inversion Method for Low-Altitude Wind Profile Based on Floating Doppler Lidar[J]. Acta Optica Sinica, 2022, 42(24): 2401002
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