Overview
- Environment and Climate Change Canada said it will launch a hybrid AI and physics-based forecasting system this spring.
- The model blends machine learning with traditional physics to learn weather patterns fast while keeping local details like wind, temperature, and precipitation.
- The department projects accuracy gains, saying a six-day forecast will match today’s five-day performance and major systems could be flagged 8 to more than 24 hours earlier.
- Scientists ran the system in parallel with the current model over the past year and tested it on past storms, and meteorologists will continue to interpret results and issue alerts.
- Officials frame the move as a public-safety upgrade for events like heat waves and floods, though one veteran forecaster welcomed earlier lead time while questioning how well old data fits a fast-changing climate.