First, this paper describes the forecasting bias of the National Center for Atmospheric Research (NCAR) mesoseale model (WRF-ARW) applied in the East Asia from August 15 through September 15 2007.The subsequent statistical evaluation is designed to assess the models surface and upper-air forecast accuracy.Results show that the model biases caused by inadequate parameterization of physical processes are relatively small compared to the nonsystematic errors resulting from uncertainty in the initial condition.The model errors in surface air forecasts are closely related to the terrain configuration; however, the performance of 2-m temperature forecasts is different from that of 10-m wind field forecasts.