环境科学
中尺度气象学
对流风暴探测
多普勒雷达
恶劣天气
作者
Michael Dixon,Gerry Wiener
标识
DOI:10.1175/1520-0426(1993)010<0785:ttitaa>2.0.co;2
摘要
Abstract A methodology is presented for the real-time automated identification, tracking, and short-term forecasting of thunderstorms based on volume-scan weather radar data. The emphasis is on the concepts upon which the methodology is based. A “storm” is defined as a contiguous region exceeding thresholds for reflectivity and size. Storms defined in this way are identified at discrete time intervals. An optimization scheme is employed to match the storms at one time with those at the following time, with some geometric logic to deal with mergers and splits. The short-term forecast of both position and size is based on a weighted linear fit to the storm track history data. The performance of the detection and forecast were evaluated for the summer 1991 season, and the results are presented.
科研通智能强力驱动
Strongly Powered by AbleSci AI