This paper discusses the development of the distribution service for the 4D NARAE-Weather data platform, designed to support the next-generation air traffic plan (NARAE). The need for a platform that provides real-time, integrated weather information, which changes dynamically across time and space, has emerged to ensure the safety of aircraft operations. The proposed 4D NARAE-Weather data platform facilitates efficient weather information delivery through legacy distribution services, API distribution services, and subscription/publish distribution services. This platform provides customized weather information based on aircraft flight trajectories, offering more than 30 hours of deterministic forecast data and machine learning-based probabilistic forecast data. These forecast data play a crucial role in identifying potential hazards during flight and supporting operational decision-making. This paper presents the functional composition of the4D NARAE-Weather data platform, which is designed to enhance the safety and efficiency of aircraft operations for various user groups, including airlines, air traffic controllers, and airport operators. Additionally, it provides detailed descriptions of the legacy distribution service, API distribution service, and subscription/publish distribution service, which are implemented by combining the platform's functionalities.
KSP Keywords
Air traffic, Data Platform, Data Play, Distribution service, Forecast data, Functional composition, Information delivery, Learning-based, Next-generation, Operational decision-making, Probabilistic Forecast
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