A cutting-edge artificial intelligence (AI) tool developed by the University of Miami is revolutionizing tropical weather forecasting. This AI model, now utilized by the National Hurricane Center for the 2025 Atlantic hurricane season, automatically identifies and tracks tropical easterly waves (TEWs) and differentiates them from major tropical wind patterns, including the Intertropical Convergence Zone (ITCZ) and the monsoon trough (MT). Led by Ph.D. student Will Downs, the system uses four decades of historical weather data to enhance hurricane predictions, providing communities with more time to prepare for potential storms. The research has highlighted critical findings, such as the behavior of tropical waves and trends in the Caribbean. The study, titled “Using Deep Learning to Identify Tropical Easterly Waves,” was published in the Monthly Weather Review and underscores the University of Miami’s commitment to advancing meteorological science and enhancing disaster preparedness.
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