Impact of assimilating Taiwan's coastal radar radial velocity on forecasting Typhoon Morakot (2009) in southeastern China using a WRF-based EnKF

This study explores for the first time the impact of assimilating radial velocity (Vr) observations from a single or multiple Taiwan's coastal radars on tropical cyclone (TC) forecasting after landfall in the Chinese mainland by using a Weather Research and Forecasting model (WRF)-based ensemble Kalman filter (EnKF) data assimilation system. Typhoon Morakot (2009), which caused widespread damage in the southeastern coastal regions of the mainland after devastating Taiwan, was chosen as a case study. The results showed that assimilating Taiwan's radar Vr data improved environmental field and steering flow and produced a more realistic TC position and structure in the final EnKF cycling analysis. Thus, the subsequent TC track and rainfall forecasts in southeastern China were improved. In addition, better observations of the TC inner core by Taiwan's radar was a primary factor in improving TC rainfall forecast in the Chinese mainland. ; Special Fund for Meteorological Research in the Public Interest from the Ministry of Science and Technology of China [GYHY201306004]; National Key Basic Research Program of China [2013CB430104]; National Natural Science Foundation of China [41461164006, 41425018, 41375048] ; SCI(E) ; 中国科学引文数据库(CSCD) ; ARTICLE ; 2 ; 315-327 ; 60