In order to improve the monitoring and early warning capabilities of autumn hail, this paper based on the dual-polarization radar and FY-4A satellite data, analyzed a rare autumn strong hail process that occurred in Hunan on 9 November 2023, discussed its early warning characteristics. The findings are as follows: (1) Strong hail is produced by supercell hailstorms,in the hail stage , the bottom of the strong echo center (horizontal reflectivity factor ZH ≥65 dBz) is close to the ground, correlation coefficient (CC)< 0.9, differential phase shift rate (KDP) is a cavity, and differential reflectivity factor (ZDR) is -3-0 dB, corresponding to the fall of large hail with a diameter ≥ 5 cm, which is consistent with the actual situation.The rise and fall of the ZDR column can characterize the Strengthening and weakening of updraft, ZDR combined with CC can identify three body scatter signature(TBSS) and side lobe characteristics. It is necessary to strengthen the comprehensive application of multiple dual-polarization parameters when monitoring and warning of strong convection.(2) The area of strong echo and the height of the center of mass are good indicators of the different development stages of supercell. Combined monitoring, the advance warning of hail can reach more than 12 minutes.The length of TBSS caused by the supercell in this process reached a rare 73 km. The emergence of TBSS and the divergence of the storm top showed a significant weakening trend, which was more than 17 minutes earlier than the hailstorm time.(3) Hail and thunderstorm winds appear in areas with large gradients of hail cloud blackbody brightness temperature (TBB), cloud top temperature (CTT), cloud top height (CTH), and cloud top pressure (CTP).TBB≤-58 ℃, CTT≤-56 ℃, CTH≥13 km,CTP≤180 hPa and the continuous increase of TBB≤-52 ℃ area can be used as monitoring and early warning of the characteristic parameters of autumn hail cloud by FY-4A satellite index.(4) The TBB maximum decrement rate can provide at least 11 minutes of advance warning for impending hail.The brightness temperature difference of 10.8-13.3 μm channel is the most sensitive to the development and weakening of hail clouds. The brightness temperature difference of 6.5-10.8 μm channel is more sensitive to before and after the hail passes through than other brightness temperature differences in single-station convection monitoring indicators.