Google发布WeatherNext 3，每小时更新预报，比前代模型精度提升5倍，能精准捕捉暴雨和温度变化。
WeatherNext 3由Google DeepMind和Google Research联合开发，预测能力比WeatherNext 2提升5倍。该模型每小时更新一次全球预报，能捕捉快速演变的暴雨、映射局部温度变化，并帮助风电场预测发电量。传统天气模型依赖基于物理的超级计算机模拟，存在6小时预报延迟，而WeatherNext 3直接利用地球静止卫星观测数据进行训练。
Introducing WeatherNext 3️⃣— our most advanced global weather AI model yet from @GoogleDeepmind and ...
Introducing WeatherNext 3️⃣— our most advanced global weather AI model yet from @GoogleDeepmind and @GoogleResearch With prediction capabilities that are up to 5x sharper than WeatherNext 2, the model generates a forecast with high spatial resolution in order to catch fast-evolving rainstorms, map local temperature shifts, and even help wind farms predict their power output. So, how does it do that? While traditional weather models rely on massive, physics-based supercomputer simulations that can carry a 6-hour forecast lag, WeatherNext 3 leverages live geostationary satellite observations as inputs and trains directly on real-world surface and atmospheric observations. By pulling this raw satellite data, it’s able to update the global forecast every single hour. And because weather develops at lightning speed, these quick, detailed insights can help bring more localized forecasting to billions of people and local businesses, especially in regions that are historically underserved due to the high costs of traditional weather forecasting models. 💬 25 🔄 69 ❤️ 725 👀 33375 📊 107 ⚡