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BEGIN:VEVENT
DTSTAMP:20260625T133338Z
LOCATION:Bldg. 6 - 001 - Plenary Room
DTSTART;TZID=Europe/Stockholm:20260630T121700
DTEND;TZID=Europe/Stockholm:20260630T121800
UID:submissions.pasc-conference.org_PASC26_sess129_pos123@linklings.com
SUMMARY:P31 - Predictive Alerts and Atmospheric Data for Airport Windshear
  by CPAS 200m Weather Model
DESCRIPTION:Sai Lun Tin, Chi Chiu Cheung, Ka Ki Ng, and Wai Pang Sze (Clus
 terTech Limited)\n\nLow-level wind shear (LLWS) at Hong Kong International
  Airport (HKIA) poses significant aviation risks, primarily driven by terr
 ain-induced turbulence from Lantau Island and sea-breeze interactions. Whi
 le current mitigation relies on real-time detection and short-term forecas
 ting, for operational purposes, it is ideal to extend horizons to manage w
 ind shear (WS). This study evaluates a 200-m resolution limited-area simul
 ation using the MPAS-based ClusterTech Platform for Atmospheric Simulation
  (CPAS) to predict sea-breeze shear 24 hours in advance based on historica
 l success in resolving coastal and terrain features. The framework utilise
 s Adaptive Mesh Refinement (AMR) to optimise computational efficiency, tri
 ggering the 200-m high-resolution Lantau mesh, all running on a convention
 al CPU-based HPC system. Validated against 10 cases from spring 2025—7 WS 
 and 3 non-WS events—the model successfully captured sea-breeze onset withi
 n 2 hours of METAR warnings in 6 out of 7 WS cases. Furthermore, it correc
 tly predicted the 3 non-WS cases, accurately simulating the suppression of
  local circulation by slightly strong prevailing winds. These results demo
 nstrate the viability of the 200-m CPAS configuration for day-ahead operat
 ional forecasting. Future work will expand validation to include terrain-i
 nduced wake turbulence and microburst scenarios.\n\nSession Chair: Tobias 
 Hodel (University of Bern, Switzerland)\n\n
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