Environment Canada to introduce AI-driven hybrid model for weather forecasting

Environment and Climate Change Canada says it plans to incorporate artificial intelligence into its national weather forecasting system, combining it with traditional models to improve accuracy and speed.

According to the federal department, the new hybrid model will analyze decades of historical weather data across North America within minutes, allowing forecasters to generate more precise predictions. Officials say the system is designed to address limitations in standalone AI models by retaining small-scale atmospheric details through conventional forecasting methods.

Environment Canada says the combined approach is expected to improve predictions of extreme weather events, including strong winds, heat waves and winter storms. The department also says the model will accelerate detection of large-scale systems such as atmospheric rivers.

As part of the upgrade, the agency says its six-day forecast will reach the same level of accuracy currently associated with its five-day outlook, extending reliable forecasting timelines for the public and emergency planners.

The federal department is responsible for national weather services and forecasting infrastructure. It did not provide a specific launch date but indicated the hybrid system will be rolled out as part of ongoing modernization efforts.