Tropical Cyclone Intensity Forecasting

Tropical cyclone intensity forecasting refers to the use of time series data, through advanced statistical and machine learning methods, to predict changes in the intensity of tropical cyclones over a specific period in the future. Its aim is to improve forecast accuracy, reduce disaster risks, and provide timely and effective warning information for coastal areas, thereby ensuring the safety of people's lives and property. This technology has significant application value in meteorological disaster prevention, emergency management, and urban planning.