Google DeepMind claims its latest AI model is capable of generating ten-day weather forecasts in under a minute and is just as accurate as traditional predictive models running on supercomputers.
Trained on 39 years of data collected from 1979 to 2017 by the European Centre for Medium-Range Weather Forecasts (ECMWF), the system produces a ten-day weather forecast, split into six-hour increments. GraphCast looks at the weather patterns in satellite images, radar, and measurements from meteorological stations to make its predictions.
"In a comprehensive performance evaluation against the gold-standard deterministic system, [the ECMWF's High Resolution Forecast], GraphCast provided more accurate predictions on more than 90 percent of 1,380 test variables and forecast lead times," declared Remi Lam, lead author of the paper and a staff research scientist at Google DeepMind.
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