Tornado-G is a type of advanced weather simulation model designed to predict tornado formation and behavior. It uses complex algorithms and real-time data to analyze atmospheric conditions, helping meteorologists understand when and where tornadoes are likely to occur. This technology enhances the accuracy of severe weather forecasts, providing critical information for public safety. The model incorporates various factors, such as wind patterns, humidity, and temperature changes, to create detailed simulations. By improving tornado prediction, Tornado-G aims to reduce the risks associated with these dangerous storms, allowing communities to prepare and respond more effectively to severe weather events.