该文利用极区中层异常回波及云粒子数据提取分析软件(PMEC_DEAS)处理雷达回波及云粒子数据集,并进行回波特性研究.以通过PMEC_DEAS分析的短期和长期极地中层夏季回波(polar mesosphere summer echoes,PMSE)和极地中层云(polar mesospheric clouds,PMC)数据为例,研究了PMSE出现率与PMC之间的相关性.研究发现短期的PMSE出现率和PMC之间的相关性不显著,长期的双层PMSE出现率与PMC之间呈正相关关系.这表明双层PMSE与PMC密切相关,这与现有的结论一致.以此可以看出,PMEC_DEAS可以有效地适应所研究事件的复杂特征变化,并具有良好的鲁棒性.此外,利用PMEC_DEAS软件分析所得的数据具有更好的稳定性和兼容性,与目前的主流数据分析软件相比更具便捷性和实用性.“,”Polar mesosphere echoes and polar mesosphere clouds data extraction and analysis software (PMEC_DEAS) is used to deal with the echoes and clouds dataset, then the characteristics of radar echoes are studied in the paper. By analyzing the polar mesosphere summer echoes (PMSE) and polar mesospheric clouds (PMC) data in the short-and long-terms as an example based on the PMEC_DEAS, the correlation between the occurrence rate (OR) of PMSE and PMC is studied. It is found that the correlation between the short-term PMSE OR and PMC is not significant, the long-term double-layer PMSE OR is positively correlated with the PMC. It shows that double-layer PMSE is closely related to PMC, which is consistent with existing conclusions. PMEC_DEAS can effectively adapt to the complex characteristic changes of the events and has good robustness. The data analyzed by PMEC_DEAS exhibit better stability and compatibility, and show superiority in convenience and utilitarian nature over the current mainstream software.