诺阿新的AI天气模型提高了预测的准确性并将成本削减99.7%,延长了风暴的准备时间。 NOAA's new AI weather models boost forecast accuracy and cut costs by 99.7%, extending lead times for storms.

诺阿已推出新的AI-动力气象模型——AIGFS、AIGMES和HMEFS——提供更快、更有效率的预测,计算成本可降低99.7%。 NOAA has launched new AI-powered weather models—AIGFS, AIGEFS, and HGEFS—delivering faster, more efficient forecasts with up to 99.7% lower computing costs. 这些模型提高了预测准确性,特别是热带气旋轨道的预测准确性,并延长了预测时间,使准备时间延长18至24小时。 The models improve prediction accuracy, especially for tropical cyclone tracks and extended forecasts, extending lead times by 18–24 hours. 虽然最初的强度预测仍然不够准确,但该系统标志着在使用人工智能增强天气复原力、降低成本和改善极端事件公共准备方面迈出了一大步。 While initial intensity forecasts remain less accurate, the system marks a major step in using AI to enhance weather resilience, reduce costs, and improve public preparedness for extreme events.