"The new hybrid model relies on AI to better predict future weather conditions, as well as relying on the traditional physics-based model to bring in our knowledge of unique local factors like wind, temperature and precipitation."
"AI can analyze decades of historical data covering a whole continent in minutes, identifying relationships between temperature, wind and pressure to estimate the future atmosphere, especially for major weather events like heat waves or tracking hurricanes."
"The hybrid model is better at predicting extreme weather, such as strong winds or heat waves, because the traditional model keeps the small-scale details that AI models tend to miss."
"With the new model, Environment Canada said its six-day forecast will be as accurate as its five-day forecast, which is particularly significant because previous improvements to forecasting were only possible after several years of research and development."
Environment and Climate Change Canada is set to implement a hybrid weather forecasting model this spring, integrating artificial intelligence with traditional methods. This model aims to improve prediction accuracy by leveraging AI's ability to analyze extensive historical data quickly while incorporating local factors through traditional physics-based models. The hybrid approach is particularly effective for predicting extreme weather events and will enhance the accuracy of six-day forecasts. Extensive testing has been conducted to evaluate its performance against traditional forecasting methods.
Read at www.cbc.ca
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