Historical analysis (2001-2019) of low-level wind shear at the Hong Kong International Airport

被引:12
作者
Hon, Kai-Kwong [1 ]
Chan, Pak-wai [1 ]
机构
[1] Hong Kong Observ, Forecast & Warning Serv, 134A Nathan Rd, Hong Kong, Peoples R China
关键词
airport; aviation; climatology; turbulence; windshear; NUMERICAL-SIMULATION; COMPLEX TERRAIN; TURBULENCE; MODEL; LIDAR; FLOW;
D O I
10.1002/met.2063
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This paper analyses over 10,000 quality-controlled pilot reports of low-level wind shear ('wind shear') at the Hong Kong International Airport (HKIA; ICAO code: VHHH) between 2001 and 2019. HKIA is well known for its susceptibility to wind shear, which is a potential hazard for aircraft during landing and take-off. Wind shear at HKIA exhibits strong seasonality with double peaks in the middle of the spring and summer months. There is a strong diurnal cycle in report numbers, peaking towards the afternoon, as modulated by air traffic at HKIA. On average, there are 115 days per year with wind shear reported, with possible power law distribution in the number of days with different number of reports. By comparing the background wind distribution during those minutes with pilot reports against the climatological distribution, wind shear is observed to be, on average, favoured under higher wind speeds (>= 6 m s(-1)) and reduced under lower speeds with shifted frequency peak and heavier tail, although statistical behaviour can differ significantly across individual runway corridors. Preferred background wind directions for wind shear occurrence highlight the role of terrain influence upstream of HKIA. While positive shear (65.6%) is more often reported than negative shear (34.4%), both types of wind shear events appear to follow an exponential distribution in shear magnitude, with similar rates of decay. This is by far the largest statistical study of low-level wind shear at an airport. Results can serve as an important local reference in addition to being a useful example for airports around the world.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Operational concept and validation of a new airport low-level wind information system
    Iijima, T.
    Matayoshi, N.
    Ueda, S.
    [J]. AERONAUTICAL JOURNAL, 2020, 124 (1277) : 975 - 1015
  • [22] High-resolution simulation of a severe case of low-level windshear at the Hong Kong International Airport: Turbulence intensity and sensitivity to turbulence parameterization scheme
    Chan, Pak Wai
    Lai, Kai Kwong
    Li, Qiu Sheng
    [J]. ATMOSPHERIC SCIENCE LETTERS, 2022, 23 (07):
  • [23] Estimating Wind Shear Magnitude Near Runways at Hong Kong International Airport Using an Interpretable Local Cascade Ensemble Strategy
    Khattak, Afaq
    Zhang, Jianping
    Chan, Pak-wai
    Chen, Feng
    Almujibah, Hamad
    [J]. ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 2024, 60 (03) : 271 - 287
  • [24] Airport low-level wind shear observation based on short-range CDL
    Zhang Hong-Wei
    Wu Song-Hua
    Yin Jia-Ping
    Wang Qi-Chao
    [J]. JOURNAL OF INFRARED AND MILLIMETER WAVES, 2018, 37 (04) : 468 - 476
  • [25] Time-Series Prediction of Intense Wind Shear Using Machine Learning Algorithms: A Case Study of Hong Kong International Airport
    Khattak, Afaq
    Chan, Pak-Wai
    Chen, Feng
    Peng, Haorong
    [J]. ATMOSPHERE, 2023, 14 (02)
  • [26] Impact of Lidar Data Assimilation on Low-Level Wind Shear Simulation at Lanzhou Zhongchuan International Airport, China: A Case Study
    Li, Lanqian
    Xie, Ningjing
    Fu, Longyan
    Zhang, Kaijun
    Shao, Aimei
    Yang, Yi
    Ren, Xuwei
    [J]. ATMOSPHERE, 2020, 11 (12)
  • [27] Wind speed and shear associated with low-level jets over Northern Germany
    Emeis, Stefan
    [J]. METEOROLOGISCHE ZEITSCHRIFT, 2014, 23 (03) : 295 - 304
  • [28] Prediction of a Pilot's Invisible Foe: The Severe Low-Level Wind Shear
    Khattak, Afaq
    Chan, Pak-Wai
    Chen, Feng
    Peng, Haorong
    [J]. ATMOSPHERE, 2023, 14 (01)
  • [29] Estimating Turbulence Due to Low-Level Wind Shear in Airport Runway Zones Using TabNet-SHAP Framework
    Khattak, Afaq
    Zhang, Jianping
    Chan, Pak-Wai
    Chen, Feng
    Almaliki, Abdulrazak H.
    Matara, Caroline Mongina
    [J]. IEEE ACCESS, 2024, 12 : 101325 - 101341
  • [30] Modelling the Measles Outbreak at Hong Kong International Airport in 2019: A Data -Driven Analysis on the Effects of Timely Reporting and Public Awareness
    Zhao, Shi
    Tang, Xiujuan
    Liang, Xue
    Chong, Marc K. C.
    Ran, Jinjun
    Musa, Salihu S.
    Yang, Guangpu
    Cao, Peihua
    Wang, Kai
    Zee, Benny C. Y.
    Wang, Xin
    He, Daihai
    Wang, Maggie H.
    [J]. INFECTION AND DRUG RESISTANCE, 2020, 13 : 1851 - 1861