Bridging the weather and climate divide with artificial intelligence.

AI is unifying weather and climate science by enabling integrated predictions of short-term storms and long-term climate changes within a single framework.

• Why it matters: The long-standing separation between weather and climate studies has hindered progress and limited the ability to make comprehensive, actionable forecasts, impacting societal adaptation to climate change.
• What they did: The authors demonstrate how AI, trained on extensive Earth observation data, is already beginning to bridge this divide, requiring advances in algorithms and fostering cross-disciplinary collaboration.
• The result: This integration promises faster, more reliable predictions that can better inform societies, though challenges like trust, transparency, and computational costs must be addressed to realize its full potential.