A new artificial intelligence weather forecasting model developed by researchers at a leading tech institute has demonstrated superior accuracy compared to conventional physics-based models in global medium-range forecasts. The AI system, trained on decades of historical weather data, can generate a 10-day forecast in under a minute on a single computer server, a task that typically requires hours of computation on supercomputers using traditional numerical weather prediction methods. Initial tests over a three-month period showed the AI model matched or exceeded the accuracy of the European Centre for Medium-Range Weather Forecasts’ high-resolution system in predicting key atmospheric variables like temperature and humidity at pressure levels. While the AI approach shows remarkable speed and cost advantages, meteorologists note that traditional models still provide more detailed local forecasts and better handle extreme weather events. The research suggests a future where AI and physics-based models work in tandem to improve forecast reliability and accessibility. Read the full article at https://technologyreview.com/2024/05/15/ai-weather-model-outperforms-traditional-systems/