Experts say AI helps climate science expand reach, but with limits

AI is increasingly used to speed up climate research, from forecasting short-term weather to interpreting vast streams of satellite imagery. Experts caution that AI should complement, not replace, physical models and observations, especially for extreme events where data are scarce and validation is harder.

Hybrid approaches,combining AI with traditional physics-based models,are highlighted as a practical path forward to improve predictions and transparency while expanding the reach of climate information to more regions and communities. This growth should be guided by rigorous testing, clear uncertainty estimates, and open collaboration across sectors to avoid reinforcing existing inequities.