This paper analyzed the continuous detecting data ofLanzhou CINRAD /CC Radar abouta hailprocess occurred in Dingxi on July 18, 2008, summarized themain characteristics of the radarproducts during this hailprocess such as reflectivity, radial velocity,RCS vertical section, vertical integrated liquid content and so on. Then it discussed the detection methods for monitoring hail by DopplerRadar, found out the typical echo characteristic of supercell storms such as hook echo, bounded weak echo region(BWER),echowal,l suspended echo, obvious influx nick, existingmesocyclone etc., and summed up some informationwhich are good fornowcasting ofhai,l such as severe change ofVIL, corresponding relationship ofET and hailprocess, obvious three-body scatter characteristic and so on, these information will be of great value for us to detect severeweather events by radar.

New GenerationWeather Radar has become a chief means of monitoring the severe convective weather events occurred in Lanzhou and its surrounding areas. This paper analyzed data error sources in radar front - end and back - end p rocessing. Itwas found that clutter, radar antenna gain, monitoring distance and data interpolation, coordinate conversion, remote transmission to several ter2 minals are mainly error sources in radar front - end and back - end p rocessing, respectively.

 Quantitative analysis of errors in lightning orientation is the key issue in its app lication. In this paper, errors and their sources in the lightning orientation p rocess are analyzed based on the p rincip le of TOA lightning orientation. With a computationalmodel,we quantify errors in lightning orientation,which can be used to evaluate errors of existing lightning orientation network, and can offer some help in distribution of future lightning location system. As an examp le, the lightning network in Lanzhou CentralMeteorologicalObservatory, it demonstrated that“five stations distribution”had some advantage, which can help to select locations for the future detection network in Gansu p rovince.