航空气象支持协同决策的数智化技术应用展望
Application Prospects of Digital and Intelligent Technologies in Aviation Weather Support for Collaborative Decision Making
DOI: 10.12677/ccrl.2026.154083, PDF,   
作者: 袁 娴：中国民用航空华东地区空中交通管理局气象服务部，上海；易 军：中国民用航空华东地区空中交通管理局气象中心，上海；郭秀凤：中国民用航空厦门空中交通管理站气象台，福建 厦门；吴福浪*：中国民用航空宁波空中交通管理站气象台，浙江 宁波
关键词: 航空气象；协同决策；数智化；人工智能；计算机视觉；天气–容量转化；Aeronautical Meteorology； Collaborative Decision Making； Digital and Intelligent Technologies； Artificial Intelligence； Computer Vision； Weather-to-Capacity Transformation
摘要: 复杂天气是影响航班正常性的首要因素，通过剖析航空气象数据多源异构的时空特征，重点探讨人工智能(AI)临近预报、计算机视觉(CV)智能感知复杂天气等研究现状，综述数智化技术在气象支持协同决策中的应用进展。数智化技术显著提升了航空气象数据的融合与处理效率。数据驱动模型可弥合天气预报与运行容量评估的脱节，支持CDM决策从经验判断向概率预测转型。展望未来，通过集成PINN、XAI和数字孪生，可构建高效、智能的决策支持系统，进一步提升航班正常性和空域容量利用率，助力航空运行安全与效率的整体优化。
Abstract: Severe weather is the primary factor affecting flight punctuality. By analyzing the multi-source heterogeneous spatiotemporal characteristics of aviation meteorological data, this paper focuses on the research status of artificial intelligence (AI)-based nowcasting and computer vision (CV)-based intelligent perception of severe weather, and reviews the application progress of digital and intelligent technologies in weather-supported collaborative decision making (CDM). Digital and intelligent technologies have significantly improved the fusion and processing efficiency of aviation weather data. Data-driven models can bridge the gap between weather forecasting and operational capacity assessment, facilitating the transformation of CDM decisions from empirical judgment to probabilistic prediction. Looking ahead, by integrating PINN, XAI, and digital twins, an efficient and intelligent decision support system can be constructed to further enhance flight punctuality and airspace capacity utilization, thereby contributing to the overall optimization of aviation operational safety and efficiency.
文章引用：袁娴, 易军, 郭秀凤, 吴福浪. 航空气象支持协同决策的数智化技术应用展望[J]. 气候变化研究快报, 2026, 15(4): 790-796. https://doi.org/10.12677/ccrl.2026.154083

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