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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 Numerical Weather Prediction (NWP) model for supporting the aviation weather applications at the Hong Kong International Airport (HKIA). This new NWP model system, called Aviation Model (AVM), is configured at a horizontal grid spacing of 600 m and 200 m. 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. AVM will be nested inside the operational mesoscale NWP model of HKO with 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 from flight data could be reproduced in the model forecast. Some impacts of physical processes on generating the fine-scale wind 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。这种新的NWP模型系统称为航空模型(AVM),其水平网格间距为600 m和200 m。它基于WRF-ARW(高级研究WRF)模型,该模型可以具有足够的计算效率,从而可以在理论上的峰值性能约为10 TFLOPS的高性能计算机系统上提前9个小时产生每小时更新的预测。 AVM将嵌套在天文台的运行中尺度NWP模型中,水平分辨率为2 km。本文讨论了预测海风和地形效应引起的风切变事件的初步数值实验结果。与海风有关的风切变的模拟非常成功,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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