Is an NWP-Based Nowcasting System Suitable for Aviation Operations?
نویسندگان
چکیده
The growth of air transport demand expected over the next decades, along with increasing frequency and intensity extreme weather events, such as heavy rainfalls severe storms due to climate change, will pose a tough challenge for traffic management systems, implications flight safety, delays passengers. In this context, Satellite-borne IN-situ Observations Predict Initiation Convection ATM (SINOPTICA) project has dual aim, first investigate if very short-range high-resolution forecast, including data assimilation, can improve predictive capability these then understand forecasts be suitable purposes. intense squall line that affected Malpensa, major airport by passenger in northern Italy, on 11 May 2019 is selected benchmark. Several numerical experiments are performed Weather Research Forecasting (WRF) model using two assimilation techniques, 3D-Var WRF Data Assimilation (WRFDA) system nudging scheme lightning, order forecast accuracy evaluate impact assimilated different datasets. To simulations performance, three verification approaches, object-based, fuzzy qualitative, used. results suggest lightning plays key role triggering convective cells, improving both location timing. Moreover, prediction (NWP)-based nowcasting able produce reliable at high spatial temporal resolution. timing was found helping Air Traffic Management (ATM) operators compute alternative landing trajectories.
منابع مشابه
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2022
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs14184440