Study of low-level wind shear at a Qinghai-Tibetan Plateau airport

被引:1
作者
Huang, Xuan [1 ,3 ,4 ]
Zheng, Jiafeng [2 ,3 ]
Shao, Aimei [1 ]
Xu, Dongbei [2 ,3 ]
Tian, Weidong [4 ]
Li, Jianjie [5 ]
机构
[1] Lanzhou Univ, Coll Atmospher Sci, Key Lab Semiarid Climate Change, Minist Educ, Lanzhou 730000, Peoples R China
[2] Chengdu Univ Informat Technol, Sch Atmospher Sci, Plateau Atmosphere & Environm Key Lab Sichuan Prov, Chengdu 610225, Peoples R China
[3] China Meteorol Adm Key Lab Aviat Meteorol, Beijing 100081, Peoples R China
[4] Northwest Reg Air Traff Management Bur, Qinghai Subbur Civil Aviat Adm China, Xining 810000, Peoples R China
[5] Qinghai Meteorol Observ, Xining 810000, Peoples R China
关键词
Aviation safety; Low-level wind shear; Qinghai-Tibetan Plateau; Doppler wind lidar; Conceptual models; MESOSCALE CONVECTIVE SYSTEMS; GUST FRONT; DOPPLER LIDAR; INTERNATIONAL AIRPORT; SIMULATIONS; AVIATION; AIRCRAFT; TERRAIN; EVENT;
D O I
10.1016/j.atmosres.2024.107680
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The Qinghai-Tibetan Plateau (QTP) is recognized as the world's largest and highest plateau, characterized by intricate topography and underlying surfaces. Within this region, volatile meteorological conditions and severe synoptic systems, including thunderstorms, turbulence, sandstorms, and notably low-level wind shear (LLWS), present safety hazards to aviation operations. Therefore, a comprehensive examination of wind shear at typical QTP airports is essential. Xining Caojiapu International Airport (ZLXN) serves as a crucial transportation hub in the northeastern QTP. The frequent incidence of LLWS events due to the airport's unique geographical and meteorological features makes it an ideal location for investigating LLWS on the plateau. This study analyzed 80 pilot reports collected from 2016 to 2021 to elucidate the spatial and temporal characteristics of LLWS events at this plateau-valley airport. Subsequently, reanalysis data and observations from ground automated weather observing systems (AWOS), a geostationary satellite, a Doppler weather radar (DWR), and a Doppler wind lidar (DWL) were comprehensively employed to investigate the underlying meteorological factors and weather patterns associated with these LLWS events. The findings revealed that LLWS events at ZLXN are predominantly triggered by convective systems, followed by cold fronts and downward momentum transportation, with a smaller proportion being induced by orographic winds and turbulence. Analysis of four representative LLWS events utilizing high-resolution DWL measurements provided insights into the types of LLWS generated and their potential impacts on aircraft operations. Conceptual models, aimed at establishing a foundation for the forecasting and warning of local LLWS, were also proposed based on multiple data sources.
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页数:16
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