85th AMS Annual Meeting

Monday, 10 January 2005
Multi-sensor storm cell identification and analysis
Travis M. Smith, Univeristy of Oklahoma/CIMMS and NOAA/NSSL, Norman, OK; and G. J. Stumpf
The presentation describes a multi-radar, multi-sensor application for identification, analysis, and tracking of convective storm cells. This technique makes significant improvements over the Storm Cell Identification and Tracking (SCIT) algorithm in the operational Weather Service Radar - 1988 Doppler (WSR-88D) system, which is prone to many modes of failure. The new technique reduces errors in integrated storm analysis parameters such as Vertically Integrated Liquid and hail size estimates, while improving the accuracy of storm tracks and trends of important parameters. Data are analyzed and guidance information generated continuously rather than once every five-to-six minutes as by the operational SCIT algorithm.

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