Based on observation data from 76 national meteorological stations in Hubei Province and ERA5 reanalysis data during 2000-2024, 108 rain-snow events are classified by means of the T-mode principal component analysis (TPCA). The temporal distributions, circulation configurations, and impact characteristics of the rain-snow events under different circulation types are then analyzed. The results show that over the 25 years (2000—2024), Hubei Province experienced 4.3 rain-snow events on average annually, with a clear inter-annual variability. These events occurred mainly in January and February, accounting for 74% of the total. Based on the circulation patterns at 500 hPa, these rain-snow events are classified into three types: the Lake Baikal High-Ridge Type (48.1%), Lake Baikal Low-Trough Type (30.6%), and Lake Baikal Northwesterly Flow Type (21.3%). In the composite mean fields of the three circulation types, the Lake Baikal High-Ridge Type features the deepest southern-branch trough at 500 hPa and the strongest influence of the surface cold high. The Lake Baikal Low-Trough Type is characterized by the strongest southwesterly jet at 700 hPa, with a maximum wind speed of 20 m·s?1, and the most favorable dynamical conditions. The Lake Baikal Northwesterly Flow Type has the weakest southern-branch trough. The three circulation types of rain-snow events produces distinct impacts in Hubei Province. The Lake Baikal Low-Trough Type has a higher daily average maximum precipitation (15.34 mm) and deeper average maximum snow depth (9.33 cm) than the other two types and is more prone to produce deep snow cover. The Lake Baikal High-Ridge Type has the largest average value of total precipitation (19.63 mm), the highest mean numbers of snow-covered and wire-icing stations, and the greatest wire-icing intensity with a mean maximum wire-icing diameter of 3.83 mm. It also has the longest duration of rain-snow event, lasting for 2.22 d on average. The Lake Baikal Northwesterly Flow Type generally generates smaller precipitation amount, the weakest snow accumulation and wire icing, and the shortest event duration. These findings could provide a reference for circulation-pattern-based forecasting of rain-snow events and disaster risk assessment in Hubei Province.