Google DeepMind released WeatherNext 3: with a resolution of up to 5 kilometers, claiming to be the world’s most advanced and accurate AI weather forecasting model
Google DeepMind released WeatherNext 3 on September 3, 2026, with…
On September 3, 2026, Google Research and DeepMind jointly launched the new generation AI weather model, WeatherNext 3. This model completely abandoned traditional numerical weather forecasting methods that relied on physical equations, instead using real-time global geostationary satellite data for training. WeatherNext 3 can generate hourly forecasts with a resolution of 5 kilometers (for surface variables) or 25 kilometers (for atmospheric variables), and its accuracy is five times higher than that of previous models. The white paper indicates that while maintaining comparable forecasting performance to existing traditional models, this model significantly reduces computational requirements and significantly shortens the time lag from current weather conditions to new forecasts. This update is particularly beneficial for regions in Africa, Latin America, and Asia-Pacific that previously lacked accurate weather services. Additionally, the model provides targeted predictive capabilities for renewable energy production, aiming to help people respond more timely to extreme weather changes.
Google DeepMind released WeatherNext 3 on September 3, 2026, with…
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2026-09-03
WeatherNext 3 was officially released
Google Research and DeepMind launched WeatherNext 3 on September 3, abandoning physical simulations and using satellite data for training directly.
2026-09-06
Model details and technical advantages were disclosed
The model generates hourly forecasts with a resolution of up to 5 kilometers, five times more accurate than previous versions, benefiting regions such as Africa, Latin America, and Asia-Pacific the most.
2026-09-08
White paper records updates and performance optimizations
Google released a white paper on WeatherNext 3, explaining how introducing satellite data reduces latency and significantly lowers computational requirements with comparable performance.
On September 3, Google DeepMind and Google Research launched WeatherNext 3, claiming to be the world’s most advanced and accurate global weather model. This model can learn directly from real-time observational data, generating high-resolution forecasts once an hour to provide reliable weather services for Google’s global products.
WeatherNext 3 supports various spatial resolutions: key surface variables such as temperature and humidity are measured at 5 kilometers, other surface variables at 10 kilometers, and atmospheric variables like wind speed at 25 kilometers. It integrates real-time global geostationary satellite data to generate new forecasts every hour based on the latest satellite observations, with a maximum resolution of 5 kilometers.
This breakthrough is crucial because extreme weather often develops rapidly. When storms, fronts, or precipitation systems emerge suddenly, a fast update cycle and higher resolution can provide earlier and more detailed insights, helping people take effective measures.
Furthermore, the model also includes targeted predictions for renewable energy production, capable of forecasting 100…
Google Research and DeepMind have released the WeatherNext 3 model, which learns weather patterns directly from real-time satellite data without the need for traditional physical simulations. This model generates hourly forecasts with a resolution of up to five kilometers, and its accuracy is five times higher than that of previous models. Google notes that regions such as Africa, Latin America, and Asia-Pacific, which previously lacked accurate weather forecasts, will benefit most from this technology.
Google 发布 WeatherNext 模型第 3 版,通过引入卫星天气数据缩短当前气象条件与新预报之间的滞后时间。该更新详细记载于一份白皮书中。WeatherNext 模型作为 Google 在 AI 天气预报领域的产品之一,其优势在于能以与传统模型相当的预报性能运行,同时大幅降低计算需求,从而支持更频繁的运算。此外,许多气象模型依赖“再分析”技术,该技术整合各类天气数据生成全球大气一致快照,并需对无实测数据的区域提供估算以构建全球图景。