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Probabilistic forecasting of airport capacity

机译:机场容量的概率预测

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Substantial research efforts in recent years have answered many questions regarding the interaction of weather and air traffic management (ATM), including the translation of weather to capacity impact within the National Airspace System (NAS). But important gaps remain and significant improvements are still possible. One such area of improvement is the forecasting of airport capacity. There is a need for the translation of airport weather to airport configuration, capacity and reconfiguration events. This paper describes how we use both air traffic management and meteorological data to model the impact of weather on airport capacity. These impacts can be used, along with en route airspace impact models, in traffic flow management solutions.
机译:近年来,大量的研究工作回答了有关天气和空中交通管理(ATM)相互作用的许多问题,包括将天气转换为国家空域系统(NAS)内的容量影响。但是,仍然存在重大差距,并且仍有可能进行重大改进。这样的改进领域之一是对机场容量的预测。需要将机场天气转换为机场配置,容量和重新配置事件。本文介绍了我们如何同时使用空中交通管理和气象数据来模拟天气对机场容量的影响。这些影响可以与航路空域影响模型一起用于交通流管理解决方案中。

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