Tropical Cyclone

Tropical cyclones (TCs), among the most destructive weather phenomena, are the focus of intense research aimed at improving prediction accuracy and understanding their behavior. Current efforts utilize advanced machine learning models, including deep learning architectures like convolutional neural networks and generative adversarial networks, to analyze high-resolution satellite imagery, reanalysis data, and even social media information for improved TC center-fixing, track and intensity forecasting, and precipitation estimation. These advancements hold significant promise for enhancing disaster preparedness and mitigation strategies by providing more timely and accurate warnings, ultimately reducing the impact of these devastating storms.