Abstract : To further enhance the understanding of winter hail events and improve the warning capacity of winter hail in Guizhou , based on sounding data , ERA5 , and Doppler radar observations , this article analyzes the synoptic conditions and radar echo evolution characteristics of the hailstorm event in Guizhou on January 19 , 2024 by using the statistical method . The results show that : (1) The hailstorm was initiated by dry-cold advection intrusion under quasi-stationary front conditions , which enhanced thermal instability through contrasting airmass properties . The 0 ℃ freezing layer and - 20 ℃ layer were 60 - 100 hPa lower than during the spring hail processes . (2) This hail event exhibited typical characteristics of high-suspended strong echoes , weak echo areas ,V-shaped notches , three-body scatter , and hook echoes . The feature of hook echo is a good indicator of large-size hailstone events with stone diameter larger than 20 mm. Multiple V-shaped notches appeared before the periods with more hailfall and during hailfall . Large-size hailstones appeared within 30 min when the 45 dBz echo extended above the - 20 ℃ layer. (3) The three supercells showed distinct growth patterns . The " jump-growth " type had the prolonged gestation period , with longer gestation increasing the probability of large-size hailstone events . Supercells 2 and 3 exhibited " multi-stage jumps " , each following the development-jump-hailfall-weakening- redevelopment-jump-hailfall cycles . (4) Using hail criteria (45 dBz height above the 0 ℃ layer , Z≥55 dBz , VIL ≥20 kg/m2 ) , the advance of hail warning time is 18 - 30 min , which is 12 min earlier than that found in previous studies . This is agood reference for strengthening the understanding of the occurrence , development and evolution of hail clouds in winter in mountainous areas and improving the ability of forecasting and early warning.