Abstract: Utilizing the Liaoning Provincial Observatory's statistics in combination with the climate tendency ratio, trend coefficient and Yamamoto's climate diagnosis, the trend of climate change in the province is predicted. The spatial pattern of rainfall in different time sequences is restructured using multi-component statistical method and geostatistical interpolation method, then the possible impact of relevant climate change on something else is discussed. The results show that the climate tends to warmer and drier in the province where the warming period may be mainly in spring and winter and the drying period in summer and fall. It is predicted that the temperature catastrophe is possible and it will mainly be in summer, and a gradually decreasing trend is found to both annual mean temperature and rainfall, i.e., the former will take place from southwest to northeast and the latter from east to west. The trend coefficients of the temperature and rainfall both present the spatial variability which rnay results in increasing the occurrences of geological disaster with increasing intensities in the province.