Abstract:From March to May every year, frequent cold fronts are usually seen in China. Be cause of active cold fronts during these 3 months, weather in china is character ized by sharp temperatures fluctuations and frequent dusty weather conditions. I n order to examine the forecasting effect of numerical model and accumulate for ecasting experiences, the 96 hour forecasting product of T213 model were examin ed and analyzed and also compared its forecasting result with ECMWF model and Ja pan model. The result is: ECMWF model is more effective in midi range forecast. As for adjusting macro scale circulation and forecasting temperatures at 850hP a the ECMWF model has stronger predictive ability than the other 2 models. In ad dition, a dusty weather process occurred on 26-28 May 2008 was chosen, as a case study. Through analyzing this case, we found that Japan models were more effect ive than the other 2 models in mid range forecast of the strong surface winds, which caused this dusty weather process.