Abstract: With 28 severe hail weather (diameter of hail greater than or equal to 19 mm ) detected by 7 radar stations including Wuhan radar station from 2004 to 2010 and Jinan, Qingdao, Yantai, Yichang, Zhengzhou and Chongqing radar stations from 2007 to 2008 the products of hail identification (HI) including the probability of severe hail (POSH) and the maximum expected hail size (MEHS) were tested and analyzed in order to use better the hail detection algorithm (HDA) products and optimize further the hail detection algorithm. At the same time the test results getting from the radar stations in the north area (Jinan, Qingdao, Yantai and Zhengzhou) were contrasted with that getting from the radar stations in the south area (Wuhan, Yichang and Chongqing). The results show as follows. The HDA algorithm had a better effect on severe hail
identification and worse effect on MEHS without height correction of 0℃ and -20℃. There was few difference of the effect on hail identification and MEHS among all the radar stations The hail identification effect of the radar stations in the south area was close to that of the radar stations in the north area, and the MEHS effect of the radar stations in the south area was better than that of the radar stations in the north area.The HDA algorithm had the best effect in May and the worst effect in August. The HDA algorithm had a better effect on detection of bigger hails and a better prediction of hails having the diameters of 40 mm to 49 mm. The identification effect on sever hail was strengthened as the value of POSH increased. When the value of POSH was 100 and the CSI was 100%, there would be a big possibility of catastrophic severe hail weather.