成都天府国际机场浓雾天气特征分析

Analysis of Dense Fog Weather Characteristics at Chengdu Tianfu International Airport

  • 摘要: 利用日本葵花气象卫星8/9号多通道红外亮温数据,采取夜间微物理RGB合成方案,通过对比分析天府机场2021年6月—2024年4月卫星图像,研究了成都天府国际机场的浓雾天气特征。结果表明:RGB合成识别方法可将天府机场浓雾天气分为3类,分别是晴空辐射雾、平流作用产生的浓雾和降水后快速生成的浓雾;根据夜间微物理RGB合成图的颜色、纹理差异,能够准确快速识别出雾区和云区;晴空辐射雾,雾区为浅薄的淡黄色区域,常呈现出与丘陵地形一致的点状和网状分布;平流作用产生的浓雾,雾区呈现为均匀的亮黄色,覆盖面积较大,具有明显的移动扩散趋势;降水后快速生成的浓雾,雾区呈现为暗黄色分布,具有明显的多层云结构。

     

    Abstract: Using the multi-channel infrared brightness temperature data from the Japanese Himawari 8/9 Meteorological Satellite, the nighttime microphysical RGB synthesis scheme was adopted to compare and analyze the satellite images of Tianfu Airport from June 2021 to April 2024. The results show that the RGB synthesis identification method can divide the dense fog weather at Tianfu Airport into three types, which are clear-sky radiation fog, dense advection fog, and rapidly forming post-precipitation fog. Based on the color and texture differences in the nighttime microphysical RGB composite images, the fog and cloud areas can be accurately and quickly identified. For clear-sky radiation fog, the fog area is a thin, pale yellow region, often showing a point and mesh distributions consistent with the hilly terrain. Dense advection fog presents a uniform bright yellow area, covering a large expanse with obvious movement and diffusion trends. Rapidly forming post-precipitation fog shows a dark yellow distribution with obvious multi-layer cloud structure.

     

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