PDF
Full
Outline
To obtain high precision wind profile and turbulence products and fully understand the application potential of wind lidar, quality control of Doppler wind lidar with five-beam swing (DBS5) mode is investigated in this work using radial velocity and signal-to-noise ratio (SNR). Three-dimensional wind and turbulence measurements by the DBS5 mode of wind lidar are systematically evaluated based on measurements of a three-dimensional ultrasonic anemometer mounted on a tower. The results show that the wind lidar exhibits excellent observational accuracy with root mean square errors (RMSEs) as low as 0.4 m/s, 0.1 m/s, 0.1 m/s, 0.1 m/s, and 0.5 m2/s2 for horizontal wind speed (WS), vertical velocity (w), standard deviation of vertical velocity (σw), friction velocity (u*), and turbulent kinetic energy (TKE), respectively at the height of 140 m. Moreover, the impacts of time scale, elevation angle, and spatial scale on observational accuracy of wind lidar are investigated. The results indicate that variations in time scale have little impact on observational accuracy, while elevation angle may affect the accuracy of TKE. Additionally, the RMSEs of WS and TKE gradually increase with increasing spatial scale, while the accuracy of w, σw, and u* remain relatively stable. Further investigation of profiles of turbulence and vertical velocity under clear-sky conditions in Beijing indicates that the power spectra of vertical velocity is consistent with the classical −5/3 scaling law at different periods and heights, whereas white noise appears in the high-frequency region and intensifies with increasing height, especially above the boundary layer. Finally, the vertical turbulence of low-level jets (LLJs) observed by Doppler wind lidar is stronger below the jet height and weaker in and above the jet height.
PDF
170
87
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
