基于HTG-4型微波辐射计的双流机场冬季天气过程分析

Analysis of Winter Weather Process at Shuangliu Airport Based on HTG-4 Microwave Radiometer Data

  • 摘要: 利用HTG-4型微波辐射计资料对2018~2020年成都双流机场冬季三次重要天气过程进行分析,结果表明:微波辐射计资料能够反映大雾、霜、积冰三种天气条件下的大气垂直特征及变化趋势,温度数据以及液态水路径 LWP 对大雾的生消具有很强的监测和预警作用,水汽密度能够帮助预报员提前认识大雾的环境场条件。大气温度数据能够探测逆温层的生消,相对湿度大值区(相对湿度≥85%)可用于判断是否有云,液态水路径LWP的激增对应大雾浓度的增加,但在霜天气情况下一直处于低值。液态水廓线LPR与大气温湿廓线配合可预报或探测空中积冰位置,即大气温度层−10~0℃,且处于高湿区,液态含水量大值区,此时容易造成航空器积冰。

     

    Abstract: The HTG-4 microwave radiometer data were used to analyze the three important weather processes in the winter of Chengdu Shuangliu Airport from 2018 to 2020. The results show that the microwave radiometer data can reflect the vertical characteristics and trends of the atmosphere under three weather conditions of fog, frost and ice. The temperature data and the liquid water path LWP have a strong monitoring and early warning effect on the generation and dissipation of fog. The water vapor density can help forecasters understand the environmental field conditions of fog in advance and the atmospheric temperature data can detect the generation and dissipation of the inversion layer. The high value area of relative humidity ( relative humidity ≥ 85% ) can be used to determine whether there is cloud. The surge of liquid water path LWP corresponds to the increase of fog concentration, but it has been at a low value in frost weather. The combination of liquid water profile LPR and atmospheric temperature-humidity profile can predict or detect the icing position in the air, that is, when the atmospheric temperature layer is between −10°C and 0°C, and in the high humidity area and the large value area of liquid water content. It is easy to cause aircraft icing.

     

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