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Google发布WeatherNext 3：全球天气AI模型，预测能力提升5倍
Google DeepMind和Google Research推出WeatherNext 3，预测能力比WeatherNext 2清晰5倍，利用实时卫星观测数据，每小时更新全球预报，有助于捕捉快速演变的暴风雨和局部温度变化，并帮助风电场预测发电量。
AI推荐理由 Google官方介绍WeatherNext 3，包含技术细节和优势，信息密度高，对气象AI应用有实际价值。
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介绍 WeatherNext 3️⃣——这是我们迄今为止最先进的全球天气 AI 模型，来自 @GoogleDeepmind 和 @GoogleResearch。凭借比 WeatherNext 2 清晰高达 5 倍的预测能力，该模型生成具有高空间分辨率的预报，以便捕捉快速演变的暴雨，绘制局部温度变化图，甚至帮助风电场预测其发电量。那么，它是如何做到的呢？传统天气模型依赖大规模、基于物理的超级计算机模拟，这些模拟可能带来 6 小时的预报延迟，而 WeatherNext 3 利用实时地球静止卫星观测作为输入，并直接基于真实世界的地面和大气观测进行训练。通过提取这些原始卫星数据，它能够每小时更新全球预报。由于天气以闪电般的速度发展，这些快速、详细的见解有助于为数十亿人和本地企业带来更本地化的预报，特别是在那些因传统天气预报模型成本高昂而历史上服务不足的地区。
查看原文（中文正文为 AI 翻译）
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.