Inversion methods of slant turbulence parameters based on coherent Doppler lidar

CHEN Xiaomin; ZHANG Hongwei; SUN Kangwen; WU Songhua

doi:10.3969/j.issn.1673-6141.2023.01.001

Journals >Journal of Atmospheric and Environmental Optics >Volume 18 >Issue 1 >Page 1 > Article

Journal of Atmospheric and Environmental Optics
Vol. 18, Issue 1, 1 (2023)

Inversion methods of slant turbulence parameters based on coherent Doppler lidar

CHEN Xiaomin¹, ZHANG Hongwei¹, SUN Kangwen¹, and WU Songhua^1、2、*

Author Affiliations

¹College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China,Qingdao 266100, China

²Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory forMarine Science and Technology, Qingdao 266237, China

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DOI: 10.3969/j.issn.1673-6141.2023.01.001 Cite this Article

Xiaomin CHEN, Hongwei ZHANG, Kangwen SUN, Songhua WU. Inversion methods of slant turbulence parameters based on coherent Doppler lidar[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(1): 1 Copy Citation Text

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Fig. 1. Flow chart of algorithm

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Fig. 2. Mean radial velocity (a) and radial velocity fluctuation (b) of wind field at 01:41:17 on 15 December 2018

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Fig. 3. Structure function estimation of turbulence at 210 m from the lidar at 01:44:28 on 15 December 2018

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Fig. 4. Schematic diagram for glide path scanning mode of lidar

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Fig. 5. Distribution of radial wind velocity during 01:38―01:50 on 15 December 2018

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Fig. 6. Spatiotemporal distributions of ε^1/3during 01:38―01:50 on 15 December 2018

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Fig. 7. Distribution of the radial wind velocity during 02:22―02:35 on 15 December 2018

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Fig. 8. Spatiotemporal distributions of ε^1/3 during 02:22―02:35 on 15 December 2018

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Fig. 9. Headwind profile (a) and spatiotemporal distributions of ε^1/3 (b) at 01:42:53, headwind profile (c) and spatiotemporal distributions of ε^1/3 (d) at 02:30:51 on 15 December 2018

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Fig. 10. Comparison of ε^1/3 and I^1/3 during 01:38―01:50 (a) and 02:18―02:38 (b) on 15 December 2018

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System parameters	Value or range	Measurement parameters	Value or range
Wavelength/nm	1550	Radial velocity measurement range/(m·s^-1)	-37.5～37.5
Power consumption/W	< 300	Speed measurement uncertainty/(m·s^-1)	≤ 0.1
Pulse energy/ $μ J$	160	Measurement range/m	40～6000
Pulse width/ns Temporal resolution/s	100(100～200, adjustable) 80	Range resolution/m Wind direction accuracy/(°)	15(15～30, adjustable) ≤ 5

Table 1. Technical specifications of Wind3D 6000-AP coherent wind lidar

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