A new artificial intelligence weather forecasting model developed by researchers has demonstrated superior accuracy compared to conventional physics-based systems in global weather prediction. The AI model, trained on decades of historical weather data, can generate high-resolution 10-day forecasts in minutes on standard computing hardware, a task that typically requires hours on supercomputers using traditional methods. …
A new artificial intelligence weather forecasting model developed by researchers has demonstrated superior accuracy compared to conventional physics-based systems in global weather prediction. The AI model, trained on decades of historical weather data, can generate high-resolution 10-day forecasts in minutes on standard computing hardware, a task that typically requires hours on supercomputers using traditional methods. Initial testing shows the AI system provides more accurate predictions for key atmospheric variables, including temperature, pressure, and wind patterns, particularly in the 3-7 day forecast range. While promising, researchers note that the AI model currently lacks the ability to predict extreme weather events with the same reliability as established systems, and further development is needed before operational deployment. Read the full article at https://sciencedaily.com/releases/2024/07/240715140810.htm
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