Toronto/CMEDIA: A groundbreaking hybrid weather forecasting model that combines the power of artificial intelligence (AI) with the strengths of traditional forecasting methods would reportedly be launched by Environment and Climate Change Canada this spring.
“Today’s announcement highlights the importance of investing in…weather prediction and climate projection. Artificial intelligence supports earlier detection of weather-related events…AI advancements, we are strengthening Canada’s ability to keep our communities and loved ones safe from extreme weather,” Julie Dabrusin, Minister of the Environment, Climate Change and Nature has said.
Canada’s strategic use of AI enhances public safety, improves emergency readiness, and gives Canadians more time to act to high-impact weather.
AI models analyze decades of historical data from entire continents in just minutes by learning how the atmosphere behaves by identifying relationships between temperature, wind, and pressure to estimate the future atmosphere, especially for major weather events like heat waves, or for tracking hurricanes.
The new hybrid model brings more awareness of unique local factors like wind, temperature, and precipitation by relying on AI to better predict future weather conditions, as well as relying on the traditional physics‑based model.
In combination, they will improve the accuracy of weather forecasts. With this new tool, forecasters will have a stronger, more efficient computer system that will better assist them in providing reliable and accurate weather alerts and information to Canadians.
The new hybrid forecasting model will result in significant benefits for Canadians including Better performance with accuracy of forecasts at all time scales (short-term, medium-term, and long-range), advance notice of major weather systems: to translate into predictions of major systems (such as winter storms, heat waves, or atmospheric rivers) from 8 to over 24 hours earlier.
As AI is rapidly reshaping weather prediction and climate projection, record-breaking climate events—from wildfires to extreme heat waves to floods—across the country are being experienced by the Canadians.
Continued development of innovative AI weather approaches would facilitate Canadians to adapt to a changing climate as well as keep industries like agriculture, transportation, and other weather-dependent sectors safer.
Environment and Climate Change Canada scientists and meteorologists have been carrying out extensive testing Over the past year to evaluate its performance for predicting weather conditions in Canada on the hybrid model in parallel with our traditional model.
Earlier spotting of powerful storms both strengthens early warnings as well as supports better preparedness for Canadians.
The hybrid model also predicts extremes — strong winds or heat waves — more accurately, because Environment and Climate Change Canada’s traditional physics-based model keeps the small-scale details that AI models tend to miss.
