Google DeepMind has announced WeatherNext Cyclones, a practical weather forecasting model with an average lead time advantage of more than one day compared to major weather forecasting models. WeatherNext 2 and WeatherNext Cyclones will be open source to improve the research community's hurricane preparedness capabilities. Developed through a joint research project by Google DeepMind, Google Research, the U.S. National Hurricane Center (NHC), the Joint Laboratory for Atmospheric Sciences (CIRA), the UK Met Office, and meteorological agencies around the world, WeatherNext Cyclones achieves state-of-the-art accuracy in predicting the paths, intensity, and wind structures of tropical cyclones. The new model can now provide forecasts three days in advance with the same level of accuracy as the previous model's two-day forecasts, representing a decade's worth of advancements in meteorology. The damage caused by tropical cyclones over the past 50 years has amounted to $1.4 trillion (approximately 158 trillion yen), with more than 700,000 deaths. WeatherNext's efforts predicted that Hurricane Melissa would intensify and make landfall in Jamaica during the 2025 hurricane season.