Simultaneous wind and rainfall detection using coherent Doppler lidar

被引：0

作者：

Wei T. ^{[1
]}

Xia H. ^{[1
,2
]}

机构：

[1] CAS Key Laboratory of Geospace Environment, USTC, Hefei

[2] Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei

来源：

Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering | 2020年 / 49卷

关键词：

Coherent lidar; Rainfall detection; Remote sensing; Two-peak spectrum; Wind detection;

D O I：

10.3788/IRLA20200406

中图分类号：

学科分类号：

摘要：

Doppler wind lidar is an effective remote wind measurement instrument with high temporal and spatial resolution. However, due to the interference signal reflected by raindrops, it is a challenge to perform precise wind profile measurements under rainy conditions, but it also provides a possibility for detecting rainfall. In this work, a compact all-fiber coherent Doppler lidar (CDL) operating at wavelength of 1.5 μm was applied for simultaneous wind and rainfall precipitation detection. Due to the ability of precise spectrum measurement, both aerosol and rainfall signals can be detected by the CDL under rainy conditions. The echo signals from aerosols and raindrops with different speeds will cause two peaks in the Doppler spectrum, so that the spectrum width can be used to identified rainfall events. A two-component Gaussian model was applied to fit the spectrum and two velocities were obtained. The comparison with the results of the micro rain radar verifies the CDL' s ability of rain measurement, meanwhile, the false detection probability of wind speed in the rainy conditions is also reduced. © 2020, Editorial Board of Journal of Infrared and Laser Engineering. All right reserved.

引用

共 20 条

[1] O'Conner C J, Ruithauser D K., Enhanced airport capacity through safe dynamic reductions in aircraft separation: NASA' s Aircraft Vortex Spacing System AVOSS. TM-2001-211052, (2001)
[2] Xia H, Sun D, Yang Y, Et al., Fabry-Perot interferometer based Mie Doppler lidar for low tropospheric wind observation, Applied Optics, 46, 29, pp. 7120-7131, (2007)
[3] Xia H, Dou X, Sun D, Et al., Mid-altitude wind measurements with mobile Rayleigh Doppler lidar incorporating system-level optical frequency control method, Optics Express, 20, 14, pp. 15286-15300, (2012)
[4] Wang C, Xia H, Shangguan M, Et al., 1.5 μm polarization coherent lidar incorporating time-division multiplexing, Optics Express, 25, 17, pp. 20663-20674, (2017)
[5] Zhu X, Liu J, Bi D, Et al., Development of all-solid coherent Doppler wind lidar, Chinese Optics Letters, 10, 1, (2012)
[6] Liu Z-S, Liu B-Y, Wu S-H, Et al., High spatial and temporal resolution mobile incoherent Doppler lidar for sea surface wind measurements, Optics letters, 33, 13, pp. 1485-1487, (2008)
[7] Xia H, Shangguan M, Wang C, Et al., Micro-pulse upconversion Doppler lidar for wind and visibility detection in the atmospheric boundary layer, Optics Letters, 41, 22, pp. 5218-5221, (2016)
[8] Wei T, Xia H, Wu Y, Et al., Inversion probability enhancement of all-fiber CDWL by noise modeling and robust fitting, Optics Express, 28, 20, pp. 29662-29675, (2020)
[9] Lottman B T, Frehlich R G, Hannon S M, Et al., Evaluation of vertical winds near and inside a cloud deck using coherent doppler lidar, Journal of Atmospheric and Oceanic Technology, 18, 8, pp. 1377-1386, (2001)
[10] Wei T, Xia H, Hu J, Et al., Simultaneous wind and rainfall detection by power spectrum analysis using a VAD scanning coherent Doppler lidar, Optics Express, 27, 22, pp. 31235-31245, (2019)

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