In the realm of meteorological data processing and forecasting evaluation, machine learning and other AI solutions play a significant role. These technologies enable rapid and efficient processing of vast amounts of data, as well as the creation of complex models to enhance forecast accuracy. Through such solutions, meteorological models can be refined, improving both short-term and long-term forecast precision, thereby aiding in reducing weather-related damages and enhancing people's lives. With ongoing advancements, AI applications in meteorology are increasingly becoming integrated into our daily lives, ensuring more accurate and reliable weather predictions.