ACCURACY EVALUATION OF RAINFALL ESTIMATION AND PRACTICAL APPLICATION OF RAINFALL PREDICTION FOR LOCAL HEAVY RAINFALL BY USING MULTI-PARAMETER PHASED-ARRAY WEATHER RADAR

Abstract

 Multi-Parameter Phased Array Weather Radar (For short, MP-PAWR) is the latest weather radar. MP-PAWR can observe stereoscopic rainfall densely in time and space, because MP-PAWR has higher temporal and vertical spatial resolution than conventional weather radars. This study aims to develop a rainfall prediction system that contributes to lead time in the event of localized heavy rainfall evacuation by using highly accurate observation information from the MP-PAWR. The method is based on the calculation of rainfall prediction according to the time variation of Vertically Integrated Liquid Water Content (VIL) in the target basin. The results show that it is possible to provide an accurate rainfall forecast for estimation after about ten minutes. Also, when Kalman Filter is applied to rainfall forecast, the excessive peak rainfall intensity is improved, indicating its applicability to rainfall forecasting by MP-PAWR.