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Open AccessArticle
Multi-Scale Wind Shear at a Plateau Airport: Insights from Lidar and Radiosonde Observations
by
Jianfeng Chen
Jianfeng Chen 1
,
Chenbo Xie
Chenbo Xie 1,*,
Jie Ji
Jie Ji 1,2
and
Jie Lu
Jie Lu 1,2
1
State Key Laboratory of Laser Interaction with Matter, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
2
Science Island Branch of Graduate School,University of Science and Technology of China, Hefei 230026, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(16), 2762; https://doi.org/10.3390/rs17162762 (registering DOI)
Submission received: 22 June 2025
/
Revised: 31 July 2025
/
Accepted: 8 August 2025
/
Published: 9 August 2025
Abstract
Low-level wind shear poses a significant hazard to aviation, especially at airports located on high plateaus and surrounded by complex terrain. In this study, we present a comprehensive analysis integrating Doppler Lidar and radiosonde measurements collected at the Xining Caojiapu Airport, situated on the northeastern Tibetan Plateau, during June 2022. The results indicate a remarkably high frequency of severe wind shear events (|Δv| ≥ 6 m/s), with an overall occurrence rate of 34% during the observation period. These events are predominantly confined to two distinct atmospheric layers: just above the surface and near the top of the convective boundary layer. The diurnal cycle of wind shear is closely associated with boundary-layer dynamics, exhibiting sharp increases after sunrise and pronounced peaks around midday, coinciding with enhanced turbulent mixing and surface heating. Case analyses further reveal that the most intense shear episodes occur at strong thermal inversions, where momentum decoupling produces thin, critical interfaces conducive to turbulence generation. In contrast, well-mixed convective conditions result in more distributed but persistent shear throughout the lower atmosphere. Diagnostic profiles of atmospheric stratification and dynamic instability, characterized by the Brunt–Väisälä frequency and Richardson number, elucidate the intricate interplay between thermal structure and vertical wind gradients. Collectively, these findings provide a robust quantitative basis for improving wind shear risk assessments and early warning systems at airports in mountainous regions, while offering new insights into the complex interactions between turbulence and atmospheric stratification.
Share and Cite
MDPI and ACS Style
Chen, J.; Xie, C.; Ji, J.; Lu, J.
Multi-Scale Wind Shear at a Plateau Airport: Insights from Lidar and Radiosonde Observations. Remote Sens. 2025, 17, 2762.
https://doi.org/10.3390/rs17162762
AMA Style
Chen J, Xie C, Ji J, Lu J.
Multi-Scale Wind Shear at a Plateau Airport: Insights from Lidar and Radiosonde Observations. Remote Sensing. 2025; 17(16):2762.
https://doi.org/10.3390/rs17162762
Chicago/Turabian Style
Chen, Jianfeng, Chenbo Xie, Jie Ji, and Jie Lu.
2025. "Multi-Scale Wind Shear at a Plateau Airport: Insights from Lidar and Radiosonde Observations" Remote Sensing 17, no. 16: 2762.
https://doi.org/10.3390/rs17162762
APA Style
Chen, J., Xie, C., Ji, J., & Lu, J.
(2025). Multi-Scale Wind Shear at a Plateau Airport: Insights from Lidar and Radiosonde Observations. Remote Sensing, 17(16), 2762.
https://doi.org/10.3390/rs17162762
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