The fall armyworm, Spodoptera frugiperda, was a new migratory pest that invaded into China with a great hazard to some kinds of crops. The migrations toward north in spring and summer and toward south in autumn were related to background of atmospheric circulation and the favorable weather process. In this study, a meteorological forecasting model for migration of Spodoptera frugiperda was preliminarily build based on medium-term numerical forecast of ECMWF. This model can forecast the migration routes, immigration time including the first day of emergence and the day with a peak number and falling area very well. This study reviewed two typical forecasting cases of Spodoptera frugiperda’s migration in 2021 in detail. The typical weather processed and meteorological factor field about first migrating to Hubei province from north in spring and migrating back to Hubei province in autumn in 2021 were analyzed. These meteorological forecasting results have been verified by using HYSPLIT model to simulate the backward migration routes, monitoring data in field and from monitoring lamp and migration routes. The results showed that there is a good coincidence between the forecasting results and monitoring data in field, that from monitoring lamp and routes simulation of Spodoptera frugiperda. In this study the numerical forecast model of meteorological forecast is used to forecast the migration route of migratory pest in the first time. The conclusions drawn from this study can provide applied values for forecasting migration route, immigrating time, falling area and taking some prevention measures in advance.