Changes in climate factors have a great impact on the hydrological cycle. According to the data of 25 weather stations in the upper Weihe River including climate, precipitation, wind speed, sunshine and evaporation from 1960 to 2017 and the runoff data of 4 hydrological stations from 1960 to 2010, the climate diagnosis method, correlation analysis method, and double cumulative curve method were used to analyze the spatiotemporal variation characteristics of climatic factors and runoff and their correlation. Meanwhile the contribution rates of climate and human activities of different intensities to the regional runoff were discussed. The results show that the average annual temperature in the upper Weihe River Basin rose by 0.29℃/10a, the decreasing rates of annual precipitation, annual average wind speed, sunshine duration and evaporation were -14.36 mm/10a, -0.05 (m·s-1/10a), -19.91 h/10a and -4.64 mm/10a, respectively. The runoff in Linjiacun, Beidao, Wushan, and Weiyuan Stations decreased by 5.074×108 m3/10a, 2.895×108 m3/10a, 1.201×108 m3/10a, 0.033×108 m3/10a, respectively. Seasonal changes of climate factors were basically consistent with annual changes, but there were regional differences in spatial changes. Each climate factor showed a main cycle of 20-30 years supplemented with abrupt changes. Correlation analysis shows that the runoff was significantly negatively correlated with temperature, sunshine duration and evaporation. With the increase of temperature by 0.1℃, sunshine duration by 1 h and the decrease of evaporation by 10 mm, and runoff decreased by 1.09×108 m3, 0.03×108 m3, 0.53×108 m3, respectively. However it presented a significant positive correlation with precipitation, with the increase of precipitation by 10 mm, the runoff increased by 0.61×108 m3. Besides, it was poorly correlated with wind speed. The contribution rate of climate change to the runoff reduction varied in different regions and years, which was between 5% and 25% in the downstream area of Weihe mainstream with high human activity intensity, and 11%-43% in the upstream and source area with low human activity intensity. These findings are closely related to the intensity of regional human activities and abnormal changes in climatic factors.