# Google DeepMind 与 Google Research 发布 WeatherNext 3 全球气象 AI 模型

- 来源：Google AI (@GoogleAI)
- 发布时间：2026-09-04 00:10
- AIHOT 分数：55
- AIHOT 链接：https://aihot.virxact.com/items/cmtlq7eln0icqrow5tnneaf90
- 原文链接：https://x.com/GoogleAI/status/2095544944190788064

## AI 摘要

Google AI 发布 WeatherNext 3，称为迄今最先进的全球气象 AI 模型，预测精度最高达 WeatherNext 2 的 5 倍，可用于捕捉快速演变的暴雨、绘制局地温度变化并帮助风电场预测发电量。

## 正文

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.