A new artificial intelligence weather forecasting model developed by researchers at a leading tech institute has demonstrated superior accuracy in global weather predictions compared to conventional physics-based models. The AI system, trained on decades of historical atmospheric data, can generate high-resolution 10-day forecasts in minutes, a task that typically takes hours for supercomputer-driven systems. Initial …
A new artificial intelligence weather forecasting model developed by researchers at a leading tech institute has demonstrated superior accuracy in global weather predictions compared to conventional physics-based models. The AI system, trained on decades of historical atmospheric data, can generate high-resolution 10-day forecasts in minutes, a task that typically takes hours for supercomputer-driven systems. Initial tests show the model provides more accurate predictions for extreme weather events, including hurricanes and heatwaves, up to five days in advance. While promising, meteorologists caution that AI models must be rigorously validated for operational use and integrated with existing physical models to ensure reliability. The development marks a significant shift toward data-driven approaches in numerical weather prediction. For the complete analysis, read the full article at: https://technologyreview.com/ai-weather-model-forecast-accuracy
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