Google has applied deep learning techniques, modeled on the neural networks of the human brain, to produce improved nowcasts for small areas (one sq km or 0.39 sq mi) over the course of an hour.
The new system, presented in a paper that has not yet been peer reviewed, is a significant step forward from existing prediction models, Google says. It can make accurate predictions in minutes rather than hours, which is much more useful when you want to know what the weather is going to do in the short-term.
That speed increase is achieved by ditching the heavy lifting of computationally intensive physics models, and replacing it with neural networks that are trained on historical data.
Image credit - Google Nowcast
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