KALMAN FILTERING METHOD IN THE DYNAMICAL-STATISTICAL PREDICTION OF TYPHOON TRACKS

In this paper, we have discussed the problems in predicting the typhoon track using a dynamical-statistical model. We have adopted the Kalman filter, and have discussed the error estimation in the dynamical-statistical prediction by using the Kalman filter. It is found that by using the Kalman filler in the dynamical-statistical prediction model we can improve the prediction of the typhoon track (both in direction and speed),and that it is useful in operational forecasting pratice.