Abstract
Polar mesosphere echoes and polar mesosphere clouds data extract and analyze software (PMEC_DEAS) was used to deal with the echoes and clouds dataset, then the characteristics of radar echoes were 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. This 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 was associated with better stability and compatibility. The convenience and utilitarian nature show superiority compared with the current mainstream software.
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