Abstract: Based on the daily temperature data of Ezhou city from 1959 to 2018, the variation characteristics of the average temperature, the average maximum temperature, the average minimum temperature, the extreme maximum temperature and the extreme minimum temperature in recent 60 years in Ezhou city were analyzed by means of linear regression, Mann-Kendall mutation test, cumulative anomaly method and wavelet analysis. The results showed that in recent 60 years, the average temperature, the average maximum temperature, the average minimum temperature, the extreme maximum temperature and the extreme minimum temperature in Ezhou all showed a fluctuating upward trend. The upward trend of the average minimum temperature and the extreme minimum temperature was more obvious than that of the average maximum temperature and the extreme maximum temperature. The annual mean temperature had no obvious mutation; The annual maximum temperature had mutation in 2002; The annual minimum temperature had mutation in 1989; The annual extreme maximum temperature had mutation in 2008; And the annual extreme minimum temperature had mutation in 1981. The annual mean temperature showed quasi-18-year, quasi-10-year interdecadal cycle and quasi-4-year interdecadal cycle; The annual maximum temperature showed quasi-16-year interdecadal cycle and quasi-4-year interdecadal cycle; The annual minimum temperature showed quasi-30-year, quasi-18-year and quasi-10-year interdecadal cycle, quasi-4-year interdecadal cycle; And extreme maximum temperature showed quasi-12-year interdecadal cycle and 4~6 years and 2~4 years interdecadal cycle. The extreme minimum temperature showed quasi-30-year, quasi-16-year and quasi-10-year interdecadal cycle, quasi-6-year and quasi-4-year interdecadal cycle.

Key words: Ezhou city, fluctuation rising, catastrophe, wavelet analysis