| 摘要: |
| 基于双流机场自动探测资料和ERA_interim再分析资料，对2017年11月26日和12月4日两次大雾过程的天气背景和气象要素特征进行了对比分析，旨在提高对双流机场大雾天气的预报能力。结果表明：2次大雾都是典型的辐射雾，其形成过程具有一些相似的环境背景，即天空云量少，微风（0~2 m/s），低层较高的湿度和较低的稳定层结（较低的边界层高度）；12月4日过程近地面的绝对水汽含量大于11月26日过程，这可能是4日大雾过程最低主导能见度、最低跑道视程小于26日大雾过程，持续时间大于26日过程的原因；12月4日过程边界层内湍流的扰动更强，该强扰动信号可能对长时间影响双流机场民航运行的强浓雾过程的生消发展有意义。 |
| 关键词: 大雾；个例分析；气象要素；边界层 |
| DOI： |
| 投稿时间：2020-05-12 |
| 基金项目: |
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| Comparative analysis of two heavy fog processes in Shuangliu Airport in 2017 |
| TENG Lin,ZOU Yongcheng,CAI Chengyao,ZHANG Xiaofeng |
| (Songtao Meteorological Station of Guizhou Province, Songtao 554100 , China;Southwest China Air Traffic Control Bureau Meteorological Center, Chengdu 610202 , China;Yanhe Meteorological Station of Guizhou Province, Yanhe 565300 , China;Taijiang Meteorological Station of Guizhou Province, Taijiang 556300 , China) |
| Abstract: |
| Based on the Shuangliu International Airport automatic detection data and ERA_interim reanalysis data, a comparative analysis was made on the weather background and meteorological elements characteristics of the two fog processes on November 26 and December 04, 2017. The results show that: the two fog processes are typical radiation fogs, the formation process has some similar circulation background, namely, the cloud is less, the breeze (0~2 m/s), high humidity in the lower layer and the lower stable layer (the lower boundary layer height). The absolute moisture content of the near ground on December 04 is greater than that of November 26. This may be the reason that the minimally dominant visibility and minimum RVR in the fog process of December 04 is less than November 26, and the duration of fog processe is greater than that of November 26. The turbulence in the boundary layer is stronger in the process of December 04, this strong perturbation signal may be of great significance to the development of the heavy fog process which affects the operation of the civil aviation of Shuangliu international airport. |
| Key words: heavy fog；case analysis；meteorological elements；boundary layer |
