利用新一代天气雷达资料反演云体含水量

利用多普勒天气雷达探测的反射率因子Z与含水量M的Z-M经验关系式,反演云体含水量。计算域定为以雷达站为中心、水平边长为150 km的正方形格点域,垂直高度为30 km,分辨率是1 km×1 km×1 km。通过对2006年4月11日发生在湖南长沙的一次飑线过程的分析,利用反演软件计算该飑线云体的含水量分布,构建了CAPPI和VCS及整层VIL(垂直累积液态含水量)3种显示方式。反演结果与实测的雷达基本反射率产品、雷达CAPPI反射率产品、垂直积分液态含水量产品对比分析表明,反演的含水量分布及中心位置与雷达产品结果吻合,且利用Z-M经验关系式反演的含水量M反映了含水量的三维分布,较雷达VIL产品更能显示真实的含水量状况。

Inverse the Moisture Content by Doppler Weather Radar Data

This paper using the Z-M experience relations of the Doppler weather radar reflectivity factor Z and moisture content M to inverse the moisture content. The domain of calculating is fixed to a square grid domain which is centered with the radar station of the length of 150 km, and the vertical height of 30 km. The resolution is 1 km × 1 km × 1 km. A squall line process has been analyzed in this paper, which happened in Changsha in Hunan on April 11, 2006, and calculated its cloud water content distribution by using the inverse software, and built CAPPI and the VCS and the whole floor VIL (vertically accumulated liquid containing of water) three kinds of display. Make a comparative analysis by the radar base reflectivity products, CAPPI radar reflectivity products and VIL products. The moisture content distribution and the center location are consistent with the results of radar products. Further, using the experience of the relationship of Z-M inversion moisture content M can reflected the three-dimensional distribution of moisture content, and can show moisture conditions better than radar VIL products.