[AAS01-P05] Assimilating every 30-second phased array weather radar data in a torrential rainfall event on July 6, 2018 around Kobe city
Keywords:Data assimilation, Heavy rainfall forecast, High performance computing
The TEST analysis shows intense rainfalls with detailed structure of active convection, better matching with the PAWR observation compared to NO-DA analysis. In the forecast experiment, the forecast initialized by the ensemble mean analysis of TEST is skillful for 20 minutes compared with NO-DA, although the skill is decreased rapidly. The results suggest that the PAWR DA have a potential to improve the numerical simulation for this torrential rainfall event.