Abstract: Based on the monthly temperature data of Wuhan City from 1906 to 2015, Shannon entropy, Renyi entropy and Tsallis entropy were used to analyze the variation characteristics of Wuhan city temperature at different time scales. The results show that: (1) the monthly mean temperature in February is the most stable and the variability is the smallest in Wuhan in past 110 years. The monthly average temperature in May is the most unstable and the variability is the biggest; (2) the seasonal mean temperature of Wuhan in the past 110 years in summer is the worst and the variability is the highest in the eight ages. The seasonal mean temperature in spring is the worst in the three ages, the variability is the biggest, the stability is the best in the five ages, and the variability is the smallest; (3) the annual mean temperature variability of Wuhan City from 1906 to 2015 is cyclical and the period of change is 30 years. It is predicted that the annual average temperature of Wuhan will stabilize in the next 10 years.