摘要
液态水含量（LWC）是重要的云微物理参数，为反演得到混合云的LWC廓线，分析和总结Z—LWC经验关系，根据冰相粒子与温度的分布模型，剔除冰相粒子对z的贡献，提出联合反演混合云LWC垂直廓线的方法。利用2013年4—8月，在广东三水和四川理塘外场试验数据，分析雷达反演的液态水总量与微波辐射计LWP数据的相关性，确定数据的可用性，并利用联合反演算法进行混合云的LWC的反演试验，结论如下：反演算法由于引入微波辐射计LWP数据，减小由于Z—LWC关系的实际变化而带来的误差。
Liquid water content （LWC） is an important parameter of cloud micro physics. In order to estimate the LWC of water-ice mixed cloud, some Z-LWC relationships are summarized and analyzed. The ice contribution to radar reflectivity factor is subtracted according to the environmental temperature. An algorithm to retrieve LWC of mix-phase cloud is proposed based on the synergetic measurements of cloud radar and microwave radiometer. According to the field experimental data collected irt Sanshui in Guangdong province and Litang in Sichuan province from April to August 2013, the correlation between the total liquid water amount retrieved by radar reflectivity factor and the LWP data from the mi- crowave radiometer is analyzed. The analytical result shows that the retrieved LWC is acceptable, and experiments to re- trieve LWC based on cloud radar and radiometer are carried out for the cases of mix-phased cloud. By using the extra data of radiometer＇ s LWP, the reliability of retrieved LWC based on reflectivity is improved.
出处
《成都信息工程大学学报》
2016年第2期130-135,共6页
Journal of Chengdu University of Information Technology
基金
973资助项目(2012CB417202)
气象行业专项资助项目(GYHY201306004
GYHY201406001)
关键词
气象雷达
云雷达
微波辐射计
液态水含量
radar meteorology
cloud radar
microwave radiometer
liquid water content
