The identification, tracking and earlywarning system for thunderstorm cloud clusters based on Doppler weather radar measurements is one of the most i mportant weather prediction techniques in weather nowcasting service. A newly de veloped automatic tracking and recognition system for thunderstorm cloudcluste rs (TRACER) presented in this study is based on pattern recognitions of cloudc lusters to identify and topoloze their borderlines to establish their lifecycles , and then to make shortterm predictions of their movements. This system incl udes three primary components: (1) identification of thunderstorm cloud clusters based on their bor derlines; (2) establishment of the ancestry of each thunderstorm cloud cluster using six distinct indices: quad tree, overlap, size, external re ctangle covering the cloud, pattern similarity, partial pattern similarity; and (3) linear extrapolation prediction of their propagation, speed, size, maximum e cho center and status (e.g., strengthening or weakening, and expending or shrink ing). Preliminary results demonstrate that this system can accurately identify and predict thunderstorm cloud clusters. In cooperated with a GIS system, TRACE R can display the geolocation, trajectory, evolution of any targeted cloud clu ster and its predicted status. In addition, this system could be used to quanti tatively analyze and evaluate the predictions of any cloud clusters.