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Aviation Model: A Fine-Scale Numerical Weather Prediction System for Aviation Applications at the Hong Kong International Airport

机译:航空模型:香港国际机场航空应用的精细尺度数值天气预报系统

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The Hong Kong Observatory (HKO) is planning to implement a fine-resolution NumericalWeather Prediction (NWP) model for supporting the aviation weather applications at theHong Kong International Airport (HKIA). This new NWPmodel system, called Aviation Model (AVM), is configured at a horizontal grid spacing of 600m and 200m. It is based on the WRF-ARW (Advance Research WRF) model that can have sufficient computation efficiency in order to produce hourly updated forecasts up to 9 hours ahead on a future high performance computer system with theoretical peak performance of around 10 TFLOPS.AVMwill be nested inside the operational mesoscaleNWPmodel ofHKOwith horizontal resolution of 2 km. In this paper, initial numerical experiment results in forecast of windshear events due to seabreeze and terrain effect are discussed. The simulation of sea-breeze-related windshear is quite successful, and the headwind change observed fromflight data could be reproduced in the model forecast. Some impacts of physical processes on generating the fine-scalewind circulation and development of significant convection are illustrated. The paper also discusses the limitations in the current model setup and proposes methods for the future development of AVM.
机译:香港天文台(HKO)计划实施高分辨率的数值天气预报(NWP)模型,以支持香港国际机场(HKIA)的航空天气应用。这种称为航空模型(AVM)的新NWPmodel系统配置为水平网格间距为600m和200m。它基于WRF-ARW(Advance Research WRF)模型,该模型可以具有足够的计算效率,从而可以在理论上性能约为10 TFLOPS的高性能计算机系统上提前9小时每小时生成一次更新的预测。嵌套在HKO的运行中尺度NWP模型中,水平分辨率为2 km。本文讨论了由海风和地形效应引起的风切变事件预报的初步数值实验结果。与海风相关的风切变的模拟非常成功,并且从飞行数据中观察到的逆风变化可以在模型预测中再现。阐述了物理过程对产生细尺度风环流和显着对流发展的一些影响。本文还讨论了当前模型设置的局限性,并提出了AVM未来开发的方法。

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