Google’s AI Model Outperforms Top Weather Forecast System
Google DeepMind has introduced a groundbreaking artificial intelligence (AI) model called ‘GenCast’ that is capable of providing highly accurate weather forecasts, surpassing the European Centre for Medium-Range Weather Forecasts (ECMWF) ENS, the leading operational weather forecast system. The AI model, which can predict not only day-to-day weather but also track extreme weather events like deadly storms, has been hailed as a significant step forward in weather forecasting.
Summary/Static | Details |
Why in the news? | Google DeepMind has introduced a groundbreaking artificial intelligence (AI) model called ‘GenCast’ that is capable of providing highly accurate weather forecasts |
AI Model | GenCast |
Developer | Google DeepMind |
Key Function | Predicts weather conditions, tracks extreme events like storms |
Performance | Outperforms ECMWF’s ENS, the top operational weather forecast system |
Forecast Lead Time | Up to 15 days in advance |
Forecasting Approach | Probabilistic ensemble forecasting (predicting a range of possible outcomes) |
Evaluation Data | Tested using weather data from 2018 and 2019 |
Better Forecasting Skill | GenCast showed superior performance across 1320 forecast combinations |
Comparison with Previous AI Outperforms | DeepMind’s previous 2023 model, offering improved 15-day forecasts |
Accuracy for Extreme Weather | GenCast provided more accurate forecasts 97.2% of the time compared to traditional methods |
Impact on Decision-Making | More valuable for extreme weather preparedness across various decision-making scenarios |
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