In order to reveal the spatial distribution law of high impact weather indicators of major mountain systems in Hubei Province, we used daily temperature and precipitation data of 1716 meteorological stations in Hubei Province from 2016 to 2018 to define and obtain 6 high impact weather indicators. Combined with GIS spatial interpolation method, the spatial distribution map of high impact weather indicators in Hubei Province was drawn. In this paper, 7 main mountain slopes in Hubei were selected to further analyze the elevation gradient change characteristics of the high influence weather index on each slope. According to the distribution of main mountain systems in Hubei Province, we divided the province into 8 regions. Based on DEM data and multiple regression analysis method, the relationship model between high influence weather indices and four geographical factors including longitude, latitude, elevation and slope in each region is established. The results showed that the model was significantly correlated. F test was carried out on the estimation model; most of tests passed the correlation test with a confidence of 0.95. The study will provide references for wind power construction, tourism development and risk zoning in mountainous areas of Hubei Province.