Abstract
While short-time forecasting using X-band MP radar has been developed in recet years, the assimilation of X-band MP radar with mesoscale weather prediction has been limited. This study aims to quantify the effects of the data assimilation with WRF (Weather and Research Forecasting) model coupled with 3-D variational method for the torrential rainfall in Hiroshima City in August 2014. The prediction results of hourly rainfall with data assimilation show improvement in its spatial distribution, resulting in better prediction of total precipitation. Threat Score with data assimilation shows high performance at the initial stage of the lead time. The assimilation using radial velocity and reflectivity is found to change the wind velocity and moisuture fields which are closely related to the evolution of convective rain cells.
