Typhoon Maximum Wind Speed Prediction Using LSTM: Accuracy Comparison Across Different Forecast Intervals

Abstract

We develop LSTM-based models to predict the maximum wind speed of tropical cyclones 24 hours in advance using global atmospheric simulation data. Models with forecast intervals of 3, 6, 12, and 24 hours are compared in terms of accuracy. Results show that a single 24-hour prediction model achieves the highest accuracy, while shorter iterative forecasts accumulate errors due to nonlinear atmospheric dynamics.