Severe wind shear at Hong Kong International Airport: climatology and case studies

2017 ◽  
Vol 24 (3) ◽  
pp. 397-403 ◽  
Author(s):  
P. W. Chan
Keyword(s):  
Hong Kong ◽  
Case Studies ◽  
Wind Shear ◽  
International Airport ◽  
Hong Kong International Airport

scholarly journals Modelling of wind shear downwind of mountain ridges at Hong Kong International Airport

2012 ◽  
Vol 21 (1) ◽  
pp. 94-104 ◽  
Author(s):  
David Carruthers ◽  
Andrew Ellis ◽  
Julian Hunt ◽  
P. W. Chan
Keyword(s):  
Hong Kong ◽  
Wind Shear ◽  
International Airport ◽  
Hong Kong International Airport

scholarly journals Predicting Low-Level Wind Shear Using 200-m-Resolution NWP at the Hong Kong International Airport

2020 ◽  
Vol 59 (2) ◽  
pp. 193-206 ◽  
Author(s):  
Kai-Kwong Hon
Keyword(s):  
Hong Kong ◽  
Wind Shear ◽  
Weather Prediction ◽  
Model Performance ◽  
Characteristic Analysis ◽  
Relative Operating Characteristic ◽  
Low Level ◽  
International Airport ◽  
Wind Shears ◽  
Hong Kong International Airport

Abstract“Low-level wind shear” is a known aviation safety hazard and refers to a sustained change in head wind encountered by an aircraft during takeoff or landing. Because of their small spatiotemporal scales and high variability, automatic alerting of wind shears at airports around the world is almost exclusively detection based (using remote sensing equipment). Numerical modeling studies so far mainly cover individual cases and lack systematic validation. This paper presents the first statistical evaluation of numerical weather prediction (NWP) model performance in predicting low-level wind shear at a major international airport over a 2-yr continuous period. The 200-m-resolution Aviation Model (AVM) of the Hong Kong Observatory is used to generate runway-specific wind shear forecasts at 1-min output intervals for the Hong Kong International Airport (HKIA), known for its susceptibility to wind shear occurrence. The AVM forecasts are then validated against over 800 actual reports of wind shear by aircraft pilots over the two major arrival runway corridors, 07LA and 25RA, at HKIA between 2014 and 2015 using a verification scheme with the same level of spatiotemporal stringency as operational alerting systems at HKIA. With “relative operating characteristic” analysis, positive skill is consistently observed across both runway corridors throughout the study period and across all considered forecast lead times out to 6 h ahead. This study serves to establish and document the current capability of fine-resolution NWP in predicting the phenomenon of low-level wind shear for aviation weather applications.

scholarly journals Application of Short-Range Lidar in Wind Shear Alerting

2012 ◽  
Vol 29 (2) ◽  
pp. 207-220 ◽  
Author(s):  
P. W. Chan ◽  
Y. F. Lee
Keyword(s):  
Hong Kong ◽  
Velocity Fluctuation ◽  
Wind Shear ◽  
Short Range ◽  
Warning System ◽  
Probability Of Detection ◽  
International Airport ◽  
Wind Measurements ◽  
Uniform Background ◽  
Hong Kong International Airport

Abstract Long-range lidar systems have been used operationally at the Hong Kong International Airport for wind shear alerting. They are used for monitoring the headwinds over the last 3 n mi of all of the runway corridors of the Hong Kong International Airport (HKIA). This paper discusses the results of a trial of using short-range lidar (SRL) in the alerting of wind shear over a particular runway corridor by performing more frequently updated wind measurements over a specific section of this corridor in which many wind shear reports are received. The radial resolution of the lidar is 75 m and the data are updated every 20 s. Three different ways of wind shear alerting based on SRL’s data are studied, namely, the deviations of the measured radial velocities from the uniform background flow (the “velocity fluctuation”), eddy dissipation rate (EDR), and autocorrelation of radial velocity. The performance of these methods is studied by comparing with the pilot wind shear reports. The velocity fluctuation has the best skill in capturing the wind shear reports. By combining the wind shear alerts from SRL with those from the Wind Shear and Turbulence Warning System (WTWS), it is possible to achieve a probability of detection (POD) of pilot wind shear reports of about 90%, with a percentage of time on alert (PTA) of about 10% only. This even outperforms the existing overall wind shear alerting service (WTWS plus subjective wind shear warnings issued by aviation weather forecasters) by significantly reducing PTA. As such, the present study shows that it is possible to combine wind shear alerts from SRL and WTWS for automatic wind shear alerting without the need of human intervention, at least for a particular runway corridor of HKIA.

Sign in / Sign up

Export Citation Format

Share Document