基于相干多普勒激光雷达的斜程湍流参数反演方法研究

大气与环境光学学报 ›› 2023, Vol. 18 ›› Issue (1): 1-13.

• 大气光学 • 下一篇

基于相干多普勒激光雷达的斜程湍流参数反演方法研究

陈晓敏 1, 张洪玮 1, 孙康闻 1, 吴松华 1,2*

1 中国海洋大学信息科学与工程学部海洋技术学院, 山东青岛 266100; 2 青岛海洋科学与技术试点国家实验室, 区域海洋动力学与数值模拟功能实验室, 山东青岛 266237

收稿日期:2021-04-30 修回日期:2021-05-26 出版日期:2023-01-28 发布日期:2023-02-08
通讯作者: E-mail: wush@ouc.edu.cn E-mail:wush@ouc.edu.cn
作者简介:陈晓敏 (1995- ), 女, 山东青岛人, 硕士研究生, 主要从事测风激光雷达方面的研究。 E-mail: 1115904924@qq.com
基金资助:
国家重点研发计划 (2019YFC1408001), 国家自然科学基金 (61975191, 41905022)

Inversion methods of slant turbulence parameters based on coherent Doppler lidar

CHEN Xiaomin 1, ZHANG Hongwei 1, SUN Kangwen 1, WU Songhua 1,2*

1 College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China; 2 Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China

Received:2021-04-30 Revised:2021-05-26 Published:2023-01-28 Online:2023-02-08

摘要/Abstract

摘要： 大气湍流广泛存在于大气中，其中斜程湍流对航空航天、天文观测等会产生不可忽视的影响。一方面利用相干多普勒测风激光雷达获得的高时空分辨风场探测数据，另一方面基于Kolmogorov 局地均匀各项同性理论，即在惯性子区内湍流的特征只与湍能耗散率 ε 有关，将速度结构函数法应用到飞机着陆阶段下滑道扫描模式中，通过实测数据的速度结构函数与模型速度结构函数最小二乘法拟合，从而估算激光雷达扫描范围内的大气湍流参数 (径向风速方差、湍流积分尺度和 ε 等)。根据下滑道扫描区域数据的时空分布特征，给出大气湍流参数的斜程空间分布图，并与同步观测的飞机下滑道风切变强度数据进行了对比分析，发现两者具有较好的一致性，证实了斜程湍流参数反演方法的可靠性。

关键词: 相干多普勒测风激光雷达, 斜程大气湍流, 速度结构函数

Abstract: Atmospheric turbulence is widespread in the atmosphere, in which the slant turbulence has a significant impact on aerospace and military activities. On the one hand, the high spatial and temporal resolution wind field data obtained from the coherent Doppler lidar is used. On the other hand, according to the velocity structure function method based on Kolmogorov's local uniform homogeneous theory, i.e. the characteristics of turbulence in the inertial sub-region are only related to the turbulent eddy dissipation rate ε, the velocity structure function method is applied to the lidar glide-path scans mode for aircraft landing period. By fitting the measured data velocity structure function with the model velocity structure function least square, the atmospheric turbulence parameters (wind speed variance, turbulence integration scale and ε, etc) within the lidar swath are estimated. Furthermore, based on the spatial and temporal distribution characteristics of the data in the slant scanning area, the slant spatial distribution of the atmospheric turbulence parameters is presented and compared with the wind-shear intensity data obtained from the lidar glide-path scans mode developed by Ocean University of China. It is found that the two data are in good agreement, which validates the reliabiltiy of the proposed slant turbulence parameter retrieval method.

Key words: coherent Doppler wind measurement lidar, slant atmospheric turbulence, velocity structure function

中图分类号:

TN958
P407

陈晓敏, 张洪玮, 孙康闻, 吴松华, . 基于相干多普勒激光雷达的斜程湍流参数反演方法研究[J]. 大气与环境光学学报, 2023, 18(1): 1-13.

CHEN Xiaomin , ZHANG Hongwei , SUN Kangwen , WU Songhua , . Inversion methods of slant turbulence parameters based on coherent Doppler lidar[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(1): 1-13.

参考文献 20

[1]	International Civil Aviation Organization. Safety report [R]. 2020.
[2]	Liu Y H, Li F Y, Zhang H S, et al. The comparison between sonic-anemometer and three-component propeller anemometer
[J]	Meteorological Hydrological and Marine Instrument, 2003, 20(3): 7-16.
	刘艳华, 李富余, 张宏升, 等. 超声风速仪与三轴风速仪测风的比较研究 [J]. 气象水文海洋仪器, 2003, 20(3): 7-16.
[3]	Li B, Gu Q T, Li R Y, et al. Analyses on disastrous weather monitoring capability of CINRAD and future development [J].
	Meteorological Monthly, 2013, 39(3): 265-280.
	李柏, 古庆同, 李瑞义, 等. 新一代天气雷达灾害性天气监测能力分析及未来发展 [J]. 气象, 2013, 39(3): 265-280.
[4]	Armijo L. A theory for the determination of wind and precipitation velocities with Doppler radars [J]. Journal of the
	Atmospheric Sciences, 1969, 26(3): 570-573.
[5]	Frehlich R, Cornman L. Estimating spatial velocity statistics with coherent Doppler lidar [J]. Journal of Atmospheric and
	Oceanic Technology, 2002, 19(3): 355-366.
[6]	Smalikho I, Köpp F, Rahm S. Measurement of atmospheric turbulence by 2- μm Doppler lidar [J]. Journal of Atmospheric
	and Oceanic Technology, 2005, 22(11): 1733-1747.
[7]	Frehlich R, Meillier Y, Jensen M L, et al. Measurements of boundary layer profiles in an urban environment [J]. Journal of
	applied meteorology and climatology, 2006, 45(6): 821-837.
[8]	Frehlich R. Doppler lidar measurements of winds and turbulence in the boundary layer [J]. IOP Conference Series: Earth and
	Environmental Science, 2008, 1: 012017.
[9]	Chan P W, Lee Y F. Application of short-range lidar in wind shear alerting [J]. Journal of Atmospheric and Oceanic
	Technology, 2012, 29(2): 207-220.
[10]	Smalikho I N, Banakh V A. Measurements of wind turbulence parameters by a conically scanning coherent Doppler lidar in
	the atmospheric boundary layer [J]. Atmospheric Measurement Techniques, 2017, 10(11): 4191-4208.
[11]	Zhai X C, Wu S H, Liu B Y. Doppler lidar investigation of wind turbine wake characteristics and atmospheric turbulence
	under different surface roughness [J]. Optics Express, 2017, 25(12): A515-A529.
[12]	Zhai X C. Atmospheric Turbulence Detection Using Coherent Doppler Lidar and Wind Field Retrieval of ALADIN Airborne
	Demonstrator(A2D) [D]. Qingdao: Ocean University of China, 2019.
	翟晓春. 相干多普勒激光雷达的湍流探测与ALADIN机载样机A2D风场反演方法研究 [D]. 青岛: 中国海洋大学, 2019.
[13]	Kwong K M, Chan P W. LIDAR-based turbulence intensity calculation along glide paths [C]. 14th Coherent Laser Radar
	Conference, 2007.
[14]	Chan P W. LIDAR-based turbulence intensity calculation using glide-path scans of the Doppler Light Detection And Ranging
	(LIDAR) systems at the Hong Kong International Airport and comparison with flight data and a turbulence alerting system [J].
	Meteorologische Zeitschrift, 2010, 19(6): 549-563.
[15]	Hon K K, Chan P W. Application of LIDAR-derived eddy dissipation rate profiles in low-level wind shear and turbulence
	alerts at Hong Kong International Airport [J]. Meteorological Applications, 2014, 21(1): 74-85.
[16]	Kolmogorov A N. Dissipation of energy in the locally isotropic turbulence [J]. Proceedings of the Royal Society of London
	Series A: Mathematical and Physical Sciences, 1991, 434(1890): 15-17.
[17]	Monin A S, Yaglom A M, Lumley J L. Statistical Fluid Mechanics: Mechanics of Turbulence [M]. Array Cambridge, MA:
	MIT Press, 1971.
[18]	Zhang H W, Wu S H, Wang Q C, et al. Airport low-level wind shear lidar observation at Beijing Capital International Airport
[J]	Infrared Physics & Technology, 2019, 96: 113-122.
[19]	Zhang H W, Liu X Y, Wang Q C, et al. Low-level wind shear identification along the glide path at BCIA by the pulsed
	coherent Doppler lidar [J]. Atmosphere, 2021, 12(1): 50.
[20]	Liu X Y, Wu S H, Zhang H W, et al. Low-level wind shear observation based on different physical mechanisms by coherent
	Doppler lidar [J]. Journal of Infrared and Millimeter Waves, 2020, 39(4): 491-504.
	刘晓英, 吴松华, 张洪玮, 等. 基于相干多普勒测风激光雷达的不同成因类型的低空风切变观测 [J]. 红外与毫米波学报,
20	20, 39(4): 491-504.

基于相干多普勒激光雷达的斜程湍流参数反演方法研究

Inversion methods of slant turbulence parameters based on coherent Doppler lidar

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