AI is changing climate science — not just by improving forecasts, but by helping researchers understand why climate patterns happen. A researcher at the University of Virginia developed explainable AI models that can predict U.S. winter precipitation months in advance while revealing the climate mechanisms driving those forecasts. The study found the southern United States is significantly more predictable than northern regions and identified El Niño as the dominant source of seasonal forecasting skill. The work demonstrates how AI can move beyond prediction to become a tool for scientific discovery with applications for drought preparedness, water resource management, wildfire planning, and climate resilience.
