• Chinese Journal of Lasers
  • Vol. 48, Issue 11, 1110001 (2021)
Xiang Jin1, Xiaoquan Song1、2、*, Jiaxin Liu1, Long Yun3, and Shiyong Shao4
Author Affiliations
  • 1College of Information Science and Engineering, Ocean University of China, Qingdao, Shandong 266100, China
  • 2Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao, Shandong 266237, China
  • 3Shenzhen Environmental Monitoring Center Station, Shenzhen, Guangdong 518049, China
  • 4Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • show less
    DOI: 10.3788/CJL202148.1110001 Cite this Article Set citation alerts
    Xiang Jin, Xiaoquan Song, Jiaxin Liu, Long Yun, Shiyong Shao. Estimation of Turbulence Parameters in Atmospheric Boundary Layer Based on Doppler Lidar[J]. Chinese Journal of Lasers, 2021, 48(11): 1110001 Copy Citation Text show less
    Optical path principle diagram[20] and appearance photo of Wind3D 6000 coherent Doppler wind lidar
    Fig. 1. Optical path principle diagram[20] and appearance photo of Wind3D 6000 coherent Doppler wind lidar
    Comparison of diurnal temperature changes between simulation result and measurement result obtained by ultrasonic anemometer on October 15, 2019
    Fig. 2. Comparison of diurnal temperature changes between simulation result and measurement result obtained by ultrasonic anemometer on October 15, 2019
    Vertical change of Cn2 from October 15 to 20, 2019
    Fig. 3. Vertical change of Cn2 from October 15 to 20, 2019
    Vertical section of Cn2 diurnal change on October 20, 2019
    Fig. 4. Vertical section of Cn2 diurnal change on October 20, 2019
    Average Cn2 diurnal change at different altitudes
    Fig. 5. Average Cn2 diurnal change at different altitudes
    Normalized correlation graph of 20 min average profile of σa2 and Cn2 at different moments. (a) October 15; (b) October 20
    Fig. 6. Normalized correlation graph of 20 min average profile of σa2 and Cn2 at different moments. (a) October 15; (b) October 20
    ε diurnal change and comparison of ε and Cn2 average profile. (a) ε diurnal change from October 15 to 20 at 90 m altitude; (b) average profile of ε and Cn2 at different times on October 20
    Fig. 7. ε diurnal change and comparison of ε and Cn2 average profile. (a) ε diurnal change from October 15 to 20 at 90 m altitude; (b) average profile of ε and Cn2 at different times on October 20
    Comparison of standard atmospheric profile estimation results and CALIPSO calculation results
    Fig. 8. Comparison of standard atmospheric profile estimation results and CALIPSO calculation results
    ParameterContent
    Wavelength /μm1.5
    Data refresh rate /Hz1--10
    Speed measurement accuracy /ms-1≤0.1
    Scan servo accuracy /(°)<0.1
    Range resolution/m15
    Scan modeDBS
    Radial detection range /m45--6000
    Weight /kg<90
    Table 1. Technical parameters of Wind3D 6000 coherent Doppler wind lidar
    Xiang Jin, Xiaoquan Song, Jiaxin Liu, Long Yun, Shiyong Shao. Estimation of Turbulence Parameters in Atmospheric Boundary Layer Based on Doppler Lidar[J]. Chinese Journal of Lasers, 2021, 48(11): 1110001
    Download Citation