A radar-based automated technique for the identification of warm rain process was developed to improve quantitative precipitation estimation during extreme rainfall events. The technique uses vertical profiles of reflectivity to identify the presence of warm rain (i.e. tropical rainfall) microphysics and delineates the tropical rainfall region to which the tropical Z-R relationship is applied. The performance of the algorithm is examined based on case studies of five storms that produced extreme precipitation in the United States. Results demonstrate relative improvements in radar based quantitative precipitation estimation through the identification and dynamic adjustment of Z-R relationships to account for warm rain processes. The improvement is operationally significant given that extreme rainfall events often associated with flash floods and hurricanes landfall are associated with high efficient warm rain processes.