Google’s AI advances weather forecasting
DeepMind has launched GenCast, an AI weather model outperforming the world’s top forecasting systems.
Google’s DeepMind has introduced GenCast, a cutting-edge AI weather prediction model that outperforms the European Centre for Medium-Range Weather Forecasts’ (ECMWF) ENS, widely regarded as the global leader in operational forecasting. A study in Nature highlighted GenCast’s superior accuracy, predicting weather more effectively 97.2% of the time during a comparative analysis of 2019 data.
Unlike earlier deterministic models, GenCast creates a complex probability distribution of potential weather scenarios by generating 50 or more forecasts per instance. This ensemble approach provides a nuanced understanding of weather trajectories, elevating predictive reliability.
Google is integrating GenCast into its platforms like Search and Maps, while also planning to make real-time and historical AI powered forecasts accessible for public and research use. With this advancement, the tech giant aims to revolutionise weather forecasting and its applications worldwide.
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