期刊论文详细信息
Meteorological applications
Performance of super high resolution numerical weather prediction model in forecasting terrain-disrupted airflow at the Hong Kong International Airport: case studies
article
P. W. Chan1  K. K. Hon1 
[1] Hong Kong Observatory
关键词: forecasting;    modelling;    hazards;    remote sensing;   
DOI  :  10.1002/met.1534
学科分类:社会科学、人文和艺术(综合)
来源: Wiley
PDF
【 摘 要 】

Hong Kong International Airport (HKIA) is situated in an area of complex terrain. Mountains near the airport can lead to terrain-disrupted airflow disturbances, which may bring about hazardous weather phenomena for aviation, such as low-level windshear and turbulence. Timely forecasting of such airflow disturbances would be useful in providing early warnings to the pilots. The Hong Kong Observatory has been running a super high resolution numerical weather prediction model suite, the aviation model (AVM), since late 2013, with spatial resolution up to 200 m immediately around HKIA. After testing and tuning over the past year, the performance of the AVM in forecasting terrain-disrupted airflow at the airport area is investigated in this study. Two typical cases of such complex airflow are considered, Foehn wind and mountain wave. The AVM is found to capture successfully some salient features of the airflow as observed around HKIA through comparison with light detection and ranging (LIDAR) and weather buoy observations. The model also helps in shedding new light on the airflow from the vertical cross sections of the winds across the mountains. Limitations of the AVM are also discussed.

【 授权许可】

CC BY|CC BY-NC|CC BY-NC-ND   

【 预 览 】
附件列表
Files Size Format View
RO202107100001960ZK.pdf 23770KB PDF download
  文献评价指标  
  下载次数:13次 浏览次数:2次