NOAA has launched a groundbreaking new suite of operational, artificial intelligence (AI)-driven global weather prediction models, marking a significant advancement in forecast speed, efficiency, and accuracy. The models will provide forecasters with faster delivery of more accurate guidance, while using a fraction of computational reso

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NOAA has launched three operational AI-driven weather prediction models that deliver faster, more accurate forecasts while using significantly fewer computational resources. The suite includes AIGFS (using 99.7% less computing power than traditional models), AIGEFS (an AI ensemble system extending forecast skill by 18-24 hours), and HGEFS (a pioneering hybrid combining AI and physics-based models). Built on Google DeepMind's GraphCast and fine-tuned with NOAA data, these models show improved performance for large-scale weather patterns and tropical cyclone tracking, though tropical cyclone intensity forecasting still needs improvement.

NOAA deploys new generation of AI-driven global weather models