
AI Achieves Breakthrough in Climate Modeling — Predicts Weather 30 Days Out With 94% Accuracy
A joint team from the University of Alberta and Environment Canada has deployed a neural network that processes 47 petabytes of historical atmospheric data to produce month-ahead forecasts that outperform existing models by a factor of three. The system, dubbed "AuroraNet," could revolutionize agriculture, disaster preparedness, and energy planning across Canada.
"This isn't incremental improvement — it's a paradigm shift," said Dr. Liwei Chen. "Farmers in Saskatchewan will know about a frost 28 days before it arrives."






