Parameter Study on Ultraviolet Rayleigh–Brillouin Doppler Lidar with Dual-Pass Dual Fabry–Perot Interferometer for Accurately Measuring Near-Surface to Lower Stratospheric Wind Field
To suppress the influence of aerosols scattering on the double-edge detection technique and achieve high-accuracy measurement of the wind field throughout the troposphere to the lower stratosphere, an ultraviolet 355 nm Rayleigh–Brillouin Doppler lidar technology based on a dual-pass dual Fabry–Pero...
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2025-01-01
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| author | Fahua Shen Zhifeng Shu Jihui Dong Guohua Jin Liangliang Yang Zhou Hui Hua Xu |
| author_facet | Fahua Shen Zhifeng Shu Jihui Dong Guohua Jin Liangliang Yang Zhou Hui Hua Xu |
| author_sort | Fahua Shen |
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| description | To suppress the influence of aerosols scattering on the double-edge detection technique and achieve high-accuracy measurement of the wind field throughout the troposphere to the lower stratosphere, an ultraviolet 355 nm Rayleigh–Brillouin Doppler lidar technology based on a dual-pass dual Fabry–Perot interferometer (FPI) is proposed. The wind speed detection principle of this technology is analyzed, and the formulas for radial wind speed measurement error caused by random noise and wind speed measurement bias caused by Mie scattering signal contamination are derived. Based on the detection principle, the structure of the lidar system is designed. Combining the wind speed measurement error and measurement bias on both sides, the parameters of the dual-pass dual-FPI are optimized. The free spectral range (FSR) of the dual-pass dual-FPI is selected as 12 GHz, the bandwidth as 1.8 GHz, and the peak-to-peak spacing as 6 GHz. Further, the detection performance of this new type of Rayleigh–Brillouin Doppler lidar with the designed system parameters is simulated and analyzed. The simulation results show that at an altitude of 0–20 km, within the radial wind speed dynamic range of ±50 m/s, the radial wind speed measurement bias caused by aerosol scattering signal is less than 0.17 m/s in the cloudless region; within the radial wind speed dynamic range of ±30 m/s, the bias is less than 0.44 m/s and 0.91 m/s in the simulated cumulus cloud at 4 km where aerosol backscatter ratio <i>R<sub>β</sub></i> = 3.8 and cirrus cloud at 9 km where <i>R<sub>β</sub></i> = 2.9, respectively; using a laser with a pulse energy of 350 mJ and a repetition frequency of 50 Hz, a 450 mm aperture telescope, setting the detection zenith angle of 30°, vertical resolution of 26 m@0–10 km, 78 m@10–20 km, and 260 m@20–30 km, and a time resolution of 1 min, with the daytime sky background brightness taking 0.3 WSr<sup>−1</sup>m<sup>−2</sup>nm<sup>−1</sup>@355 nm, the radial wind speed measurement errors of the system during the day and night are below 2.9 m/s and 1.6 m/s, respectively, up to 30 km altitude, below 0.28 m/s at 10 km altitude, and below 0.91 m/s at 20 km altitude all day. |
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| spelling | doaj-art-068b89cc868947a9bd2bedd08de1860b2025-01-24T13:46:29ZengMDPI AGPhotonics2304-67322025-01-011219210.3390/photonics12010092Parameter Study on Ultraviolet Rayleigh–Brillouin Doppler Lidar with Dual-Pass Dual Fabry–Perot Interferometer for Accurately Measuring Near-Surface to Lower Stratospheric Wind FieldFahua Shen0Zhifeng Shu1Jihui Dong2Guohua Jin3Liangliang Yang4Zhou Hui5Hua Xu6Jiangsu Province Atmospheric Detection Lidar Technology Civil-Military Integration Innovation Platform, Yancheng Teachers University, Yancheng 224007, ChinaSchool of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaLidar and Device Laboratory, Southwest Institute of Technical Physics, Chengdu 610041, ChinaLidar and Device Laboratory, Southwest Institute of Technical Physics, Chengdu 610041, ChinaJiangsu Province Atmospheric Detection Lidar Technology Civil-Military Integration Innovation Platform, Yancheng Teachers University, Yancheng 224007, ChinaJiangsu Province Atmospheric Detection Lidar Technology Civil-Military Integration Innovation Platform, Yancheng Teachers University, Yancheng 224007, ChinaJiangsu Province Atmospheric Detection Lidar Technology Civil-Military Integration Innovation Platform, Yancheng Teachers University, Yancheng 224007, ChinaTo suppress the influence of aerosols scattering on the double-edge detection technique and achieve high-accuracy measurement of the wind field throughout the troposphere to the lower stratosphere, an ultraviolet 355 nm Rayleigh–Brillouin Doppler lidar technology based on a dual-pass dual Fabry–Perot interferometer (FPI) is proposed. The wind speed detection principle of this technology is analyzed, and the formulas for radial wind speed measurement error caused by random noise and wind speed measurement bias caused by Mie scattering signal contamination are derived. Based on the detection principle, the structure of the lidar system is designed. Combining the wind speed measurement error and measurement bias on both sides, the parameters of the dual-pass dual-FPI are optimized. The free spectral range (FSR) of the dual-pass dual-FPI is selected as 12 GHz, the bandwidth as 1.8 GHz, and the peak-to-peak spacing as 6 GHz. Further, the detection performance of this new type of Rayleigh–Brillouin Doppler lidar with the designed system parameters is simulated and analyzed. The simulation results show that at an altitude of 0–20 km, within the radial wind speed dynamic range of ±50 m/s, the radial wind speed measurement bias caused by aerosol scattering signal is less than 0.17 m/s in the cloudless region; within the radial wind speed dynamic range of ±30 m/s, the bias is less than 0.44 m/s and 0.91 m/s in the simulated cumulus cloud at 4 km where aerosol backscatter ratio <i>R<sub>β</sub></i> = 3.8 and cirrus cloud at 9 km where <i>R<sub>β</sub></i> = 2.9, respectively; using a laser with a pulse energy of 350 mJ and a repetition frequency of 50 Hz, a 450 mm aperture telescope, setting the detection zenith angle of 30°, vertical resolution of 26 m@0–10 km, 78 m@10–20 km, and 260 m@20–30 km, and a time resolution of 1 min, with the daytime sky background brightness taking 0.3 WSr<sup>−1</sup>m<sup>−2</sup>nm<sup>−1</sup>@355 nm, the radial wind speed measurement errors of the system during the day and night are below 2.9 m/s and 1.6 m/s, respectively, up to 30 km altitude, below 0.28 m/s at 10 km altitude, and below 0.91 m/s at 20 km altitude all day.https://www.mdpi.com/2304-6732/12/1/92Doppler lidarFabry–Perot interferometerRayleigh–Brillouin scatteringwind field |
| spellingShingle | Fahua Shen Zhifeng Shu Jihui Dong Guohua Jin Liangliang Yang Zhou Hui Hua Xu Parameter Study on Ultraviolet Rayleigh–Brillouin Doppler Lidar with Dual-Pass Dual Fabry–Perot Interferometer for Accurately Measuring Near-Surface to Lower Stratospheric Wind Field Photonics Doppler lidar Fabry–Perot interferometer Rayleigh–Brillouin scattering wind field |
| title | Parameter Study on Ultraviolet Rayleigh–Brillouin Doppler Lidar with Dual-Pass Dual Fabry–Perot Interferometer for Accurately Measuring Near-Surface to Lower Stratospheric Wind Field |
| title_full | Parameter Study on Ultraviolet Rayleigh–Brillouin Doppler Lidar with Dual-Pass Dual Fabry–Perot Interferometer for Accurately Measuring Near-Surface to Lower Stratospheric Wind Field |
| title_fullStr | Parameter Study on Ultraviolet Rayleigh–Brillouin Doppler Lidar with Dual-Pass Dual Fabry–Perot Interferometer for Accurately Measuring Near-Surface to Lower Stratospheric Wind Field |
| title_full_unstemmed | Parameter Study on Ultraviolet Rayleigh–Brillouin Doppler Lidar with Dual-Pass Dual Fabry–Perot Interferometer for Accurately Measuring Near-Surface to Lower Stratospheric Wind Field |
| title_short | Parameter Study on Ultraviolet Rayleigh–Brillouin Doppler Lidar with Dual-Pass Dual Fabry–Perot Interferometer for Accurately Measuring Near-Surface to Lower Stratospheric Wind Field |
| title_sort | parameter study on ultraviolet rayleigh brillouin doppler lidar with dual pass dual fabry perot interferometer for accurately measuring near surface to lower stratospheric wind field |
| topic | Doppler lidar Fabry–Perot interferometer Rayleigh–Brillouin scattering wind field |
| url | https://www.mdpi.com/2304-6732/12/1/92 |
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