Studies on developments of automatic detection system for tornadoes. Microbursts and shear-lines

研究了龙卷风、微爆发和切变线自动检测阈值的确定方法。此外，还改进了在工作站的彩色显示器上显示这些天气现象的软件，以帮助识别和检测这种现象。利用多普勒雷达数据和开发的程序，估计了1992年7月9日发生在札幌市的龙卷风的位置和大小。通过与预估值和包括损伤数据在内的海面天气数据的比较，验证了算法和程序的有效性。建议在日本等潮湿大气条件下采用较低的切变线(阵风锋面)检测阈值，以检测所有小的和短寿命的切变线。本研究使所开发的自动检测算法与多普勒雷达相连接，为观测恶劣天气现象做好准备。为了改进自动检测方法，采集了龙卷风、微暴发和切变线的多普勒雷达数据。

Methods to determine the thresholds for the automatic detection of tornadoes, microbursts and shear-lines were studied. Also, software to display these weather phenomena on a color display of a workstation was improved in order to help the indentification and detection of the phenomena.The location and the size of the tornado which occurred in Sapporo City in July 9,1992 were estimated with the Doppler radar data and the developed routines. The efficiency of the algorithm and the routine was confirmed by comparisons with the estimated values and surfase weather data including damage data.Loose thresholds for the detection of shear-lines (gust fronts) in moist atmospheric condition like Japan were recommended in order to detect all of small and short-lived lines.This study made it ready to observe the severe weather phenomena with the developed automatic detection algorithm by connecting with a Doppler radar.Doppler radar data of tornadoes, microbursts and shear-lines were collected for the improvement of the autmatic detection methods.