A new techniques for strom cell and mesoscale convective systems identification, tracking and nowcasting based on the radar mosaic data

The SCIT (The Strom Cell Identification and Tracking) based on the radar mosaic 3D data developed by State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences is presented for automatic identification,tracking and nowcasting of storms. A technique based on the MODE (Method for Object-based Diagnostic Evaluation) developped by Davis is presented for automatic identification tracking and nowcasting of MCSs (Mesoscale Convective Systems). The performance of the detection and nowcasting are evaluated via applying it to several convective cases. The results show that the new SCIT could achieve automatic detection, tracking and nowcasting. It is considered that the revised algorithm shows a similar capacity in identifying storms to the original one for a single radar area. The forecast position of a strom is better than MCSs.