Abstract: In order to master the characteristics of temperature variation in Weifang City, the change features of temperature and the number of high and low temperature days in recent 64 years were analyzed and studied with statistic methods such as linear trend estimation, accumulative anomaly, signal noise ratio and so on according to the temperature data from 1951 to 2014 in Weifang City. The results showed that: no matter it was the inter-annual change or the inter-decadal change of temperature, the warming trend was obvious; the increase speed of the lowest temperature was higher than the increase speed of highest temperature. The inter-annual change and inter-decadal change of the seasonal temperature presented an asymmetrical distribution. The temperature rise was the most obvious in spring and less obvious in winter; it was the most non-obvious in summer. The number of high and low temperature days in recent 64 years was on a decreasing trend. The number of high and low temperature days decreased mainly in 1970s and 2000s. The number of high temperature days was positively correlated with the average temperature and the average high temperature, and July had the best correlation. The number of low temperature days was negatively correlated with the average temperature and the average low temperature, and January had the best correlation. In the changing process along with time series, the average temperature, average high temperature, average low temperature, and the number of high and low temperature days in recent 64 years never had a mutation in Weifang City.