GRAPES (Global and Regional Assimilation Prediction System) is the Chinese new generation numerical weather prediction (NWP) system which has been operational run in the national operational NWP
centers. However, sparseness of conventional data is the biggest challenge in upgrading NWP in China. Application of satellite observations is the most effective way to solve the problem of data sparseness, therefore the assimilation of satellite data into GRAPES analysis system is the first priority in the
development of GRAPES model. In this paper we show the effects of assimilating satellite remote sensing
data into GRAPES-3DVar (three-dimensional variational assimilation system) for a landing typhoon
precipitation process in the east of China in 2006. The typhoon case is named Bilis, which landed in Fujian
province on July 14 2006 and caused a prolonged and intense precipitation. Typhoon Bilis affected China for
120 hours since it landed, which is unusual in the history of China. In the end, the simulation of precipitation
process associated with typhoon Bilis using GRAPES-Meso is also showed, and the performance of GRAPES is evaluated.