Abstract:To meet the increasing demand of lightning nowcasting and warning serv ices with the rapid development of modern society, Chinese Academy of Meteorolog ical Sciences developed a Lightning Nowcasting and Warning System (CAMS－LNWS) , which integrates multiple observation data, multiple parameters and mult iple algorithms. In the lightning nowcasting and warning method, many observation data such as radar, satellite, lightning monitoring sys tem, surface electrical field mi ll, sounding data, etc., are used. The forecasting products of synoptic situatio n and the numerical simulation of thunderstorm electrification and discharge mode l are also considered. Two basic algorithms are implemented: one is area identif ication, tracking and extrapolating algorithm, and the other is decision tree al gorithm. CAMS－LNWS can provide lightning activity potential prediction produc t and lightning nowcasting and warning products. The latter can be showed in severa l ways to meet various needs of different applications. It is easy to implement applications of CAMS－LNWS in different regions as a result of its friendly ma n machine interfaces and rich controls parameters. Additionally, CAMS－LNWS has m odular structure design with a flexible expansibility, which can provide convenient way for the continuous upgrading and improving of nowcasting and warning method in the future.