**AI-Based Weather Model Predicts Accurate Forecast for Hurricane Lee**
You can thank artificial intelligence for helping predict the accurately where Hurricane Lee was going to land in September! That’s right folks, an AI-based weather model predicted that the hurricane would make landfall much farther north, and it was right!
Google’s DeepMind AI unit in London was on the edge of their seats as they watched their experimental software called GraphCast make a very specific prognosis of landfall. Sure enough, a week and a half later, Hurricane Lee struck land right where the software had predicted, on Long Island, Nova Scotia—far from major population centers.
Today, the extraordinary new AI-powered weather models are taking the field by storm. In fact, DeepMind’s model even bested forecasts from the European Centre for Medium-Range Weather Forecasting, a global giant of weather prediction, across 90 percent of more than 1,300 atmospheric variables such as humidity and temperature.
This AI-based weather model could be run on a laptop and spit out a forecast in under a minute, while conventional models require a giant supercomputer. That’s lightning fast, people!
The DeepMind team focused on applying AI systems called graph neural networks to model the behavior of fluids, a classic physics challenge that can describe the movement of liquids and gases. The goal was to predict how all the data at all those points will interact with their neighbors, capturing how the conditions will shift over time.
So, what do you think? Are AI-based weather models the future of forecasting? Could they revolutionize the way we predict extreme weather conditions? Leave your thoughts in the comments below!
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