Environment and Climate Change Canada will roll out a new hybrid weather forecasting model this spring that combines artificial intelligence with traditional meteorological methods, a move aimed at improving forecast accuracy and giving Canadians earlier warning of severe weather.
Announced Thursday, the system blends AI-driven analysis with the department’s long-standing physics-based models, allowing forecasters to better account for local conditions such as wind, temperature and precipitation, said a federal release.
The combined approach will strengthen the reliability of forecasts while enhancing the tools available to meteorologists, the release added.
The initiative comes as Canada faces increasingly frequent and severe climate-related events, including wildfires, floods and extreme heat. Improved forecasting is expected to enhance emergency readiness and public safety, particularly for weather-sensitive sectors such as agriculture and transportation.
The hybrid model is expected to deliver more accurate predictions across all timeframes, from short-term outlooks to longer-range forecasts. Notably, Environment Canada said that using the new system will make its six-day forecast as accurate as the current five-day forecast, marking a significant leap in performance that traditionally would have taken years of research to achieve.
Another key benefit is earlier detection of major weather systems. The model will be able to identify large-scale events such as winter storms, heat waves and atmospheric rivers between eight and 24 hours sooner than existing methods, giving governments, industries and the public more time to prepare, the release said.
The department said the hybrid model has undergone extensive testing over the past year, including comparisons with traditional forecasts and simulations of past storms. While AI plays a central role, officials emphasized that human expertise remains critical, with meteorologists continuing to interpret data and communicate risks to Canadians.
