Abstract: Based on the data of daily temperature, precipitation and sunshine hours from March to May of 8 meteorological stations in Xinxiang from 1971 to 2014, the authors used linear tendency estimate method, accumulative anomaly method and Mann-Kendall method with GIS technology, discussed and analyzed the climate change trend and spatial-temporal distribution features in spring in Xinxiang, in order to provide reference for disaster prevention and mitigation. The results showed that the spring temperature in Xinxiang had an increasing trend with an average growth rate as 0.035℃/a, and a significant mutation of temperature increase happened in 1998, the warming rate of the north was higher than that of the south. The spring precipitation presented a weak increasing trend with an average increase rate as 0.220 mm/a, and the change was not obvious and the interannual volatility was relatively large. The increase trend of precipitation was more in the north than that in the south overall. The sunshine hours in spring had a decreasing tendency with an average rate of 1.216 h/a, and a significant decline mutation happened in 1984, the sunshine hours reduction in the north was obviously higher than that in other regions. The global warming had caused obviously regional climate variability in Xinxiang.