DeepMind 飓风模型为预报员多争取一天预警时间
DeepMind’s hurricane model bought forecasters an extra day
做气象预报或关注 AI 落地应用的同学必看，WeatherNext 把预警提前量做到了一天，这是实打实的能力跃迁，建议细读 Nature 论文里的方法细节。
In October 2025, a storm brewed over the Caribbean Sea. Weather models differed on its trajectory. Would it remain weak and end up in Haiti, or would it intensify and head to Jamaica? Artificial intelligence model WeatherNext, developed by Google’s DeepMind and Google Research, went with the latter. Five days before landfall, it predicted with 80 percent confidence that the storm system would hit Jamaica as a Category 5 hurricane.
2025年10月，一场风暴在加勒比海上空酝酿。天气模型对其路径预测不一。它会保持弱势并最终影响海地，还是会增强并前往牙买加？由谷歌DeepMind和谷歌研究院开发的人工智能模型WeatherNext选择了后者。在登陆前五天，它预测该风暴系统将以5级飓风的强度袭击牙买加，置信度为80%。
Hurricane Melissa was catastrophic, causing flooding and landslides across Jamaica. But the AI model helped forecasters give an earlier warning to communities in its path, so they could better prepare.
飓风梅丽莎造成了灾难性影响，在牙买加引发洪水和山体滑坡。但AI模型帮助预报员向受影响社区提前发出预警，使他们能够更好地做好准备。
In a paper published on Thursday in Nature, researchers show that the WeatherNext AI model can predict cyclones with unprecedented accuracy. On average, it gives forecasters a day more lead time than existing models; this means its predictions three days out are as accurate as previous models’ predictions two days out. On the ground, that extra day can mean a lot.
在周四发表在《自然》杂志上的一篇论文中，研究人员表明，WeatherNext AI模型可以以前所未有的准确性预测气旋。平均而言，它比现有模型多给预报员一天的提前时间；这意味着其三天的预测与之前模型两天的预测一样准确。在实际中，这额外的一天可能意义重大。
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