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Bad Weather Highlighting: Advanced Visualization of Severe Weather and Support in Air Traffic Control Displays

机译：恶劣天气突出显示：恶劣天气的高级可视化和空中交通管制显示屏中的支持

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Adverse weather conditions can have major impacts on air traffic and its control (ATC) in terms of safety and capacity. However, today's ATC situation data displays hardly contain any weather information. Controllers only manually react on external forecasts or status reports to re-plan the aircraft flight paths. The project “Meteorology for Air Traffic Management” (MET4ATM) uses nowcast and forecast weather data for aircraft re-routing calculations and visualization of weather in the radar display. If our Arrival Manager (AMAN) detects that a planned four-dimensional aircraft trajectory is affected by severe weather, it will consider the respective weather polygon, severity, moving direction, and extension for an aircraft re-routing via a detour point. However, the weather situational awareness of the controller would still not be given without further information on the radar display. Therefore, we describe advanced visualization techniques, i.e. a morphing algorithm, to let nowcast polygons become forecast polygons over time until the next weather data update appears. Our implemented prototype highlights weather and re-route affected aircraft, presents smoothly moving weather polygons on the radar display, and gives concrete 4D-trajectory based advisories for re-routing taking the complete arrival stream into account. This continuous support will help controllers to optimize high dynamic air traffic flow even if aircraft do not completely follow the automatically generated plan. In this way the whole severe weather approach operations remain supported by the controller assistance systems and therefore within standard processes.
机译：不利的天气状况可能会在安全性和容量方面对空中交通及其控制（ATC）产生重大影响。但是，今天的ATC状况数据显示几乎不包含任何天气信息。管制员仅对外部预报或状态报告做出手动反应，以重新计划飞机的飞行路线。 “空中交通管理气象学”（MET4ATM）项目使用临近预报和天气预报天气数据，用于飞机改道计算和雷达显示屏中天气的可视化。如果我们的到达经理（AMAN）检测到计划的四维飞机轨迹受到恶劣天气的影响，它将考虑相应的天气多边形，严重性，移动方向以及通过via回点重新确定航线的延伸范围。但是，如果没有雷达显示屏上的更多信息，仍然不会给出控制器的天气情况意识。因此，我们描述了先进的可视化技术（即变形算法），以使临近预报的多边形随时间推移成为预测多边形，直到出现下一个天气数据更新为止。我们已实现的原型突出显示了天气并重新安排了受影响飞机的飞行路线，在雷达显示屏上显示了平滑移动的天气多边形，并提供了基于4D轨迹的具体建议，以便在考虑整个到达流的情况下进行重新路由。即使飞机没有完全遵循自动生成的计划，这种持续的支持也将帮助管制员优化高动态空中交通流量。这样，整个恶劣天气进近操作仍将由控制员辅助系统支持，因此仍在标准流程内。

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