Bridging the weather and climate divide with artificial intelligence

Researchers have developed an artificial intelligence framework that integrates short-term weather forecasting with long-term climate modeling. This approach aims to address the current disconnect between these two disciplines by using unified machine learning models to analyze atmospheric patterns across different time scales. By improving the consistency between daily weather predictions and multi-year climate projections, the method helps bridge the gap between reactive disaster planning and long-term environmental research.