Abstract: Based on the temperature data of 105 meteorological stations in Xinjiang from 1961 to 2018, this paper used climate tendency rate, Mann Kendall test and inverse distance weighted （IDW） interpolation technology under ArcGIS10.7 environment to explore the change trend, mutation characteristics and refined spatial-temporal distribution of quarterly average temperature in Xinjiang. The results showed the overall spatial distribution of each quarter was high in South Xinjiang, low in North Xinjiang, high in the plain and basin （valley）, and low in the mountain area. The average temperature of Xinjiang region in recent 58 years showed an upward trend year by year, the spring temperature increased abruptly in 2011, the summer temperature changed abruptly in 2003, the autumn temperature changed abruptly in 1994, and the winter temperature changed abruptly in 1985—1986. The temperature in each quarter showed a downward trend and then continued to rise, but the warming range was different in different seasons and regions. The warming rate was the fastest in Northern Xinjiang in spring, autumn and winter, the fastest in Tianshan Mountain area in summer, the slowest in Southern Xinjiang in spring, summer and autumn, and the slowest in Tianshan Mountain area in winter, which passed the significance test. The average temperature increasing rate of each season in Xinjiang decreased from north to south. The temperature increasing rate in the north was greater than that in the northeast, the northeast was greater than that in the middle, the middle was greater than that in the south, and the south was greater than that in the east. This showed that the temperature increasing rate in cold regions was faster than that in warm regions.

Key words: seasonal variation, climate tendency rate, mutation, inverse distance weighted, spatiotemporal distribution