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# Google DeepMind Launches WeatherNext 2 — AI Model Delivers Ultra-Fast, High-Resolution Forecasts
- URL: https://www.theleftshift.com/google-deepmind-launches-weathernext-2-ai-model-delivers-ultra-fast-high-resolution-forecasts/
- Published: 2025-11-18T06:53:38.000Z
- Updated: 2025-11-18T06:53:38.000Z
- Description: The system promises faster, more accurate, and higher-resolution global predictions, according to a blog post by Google.
- Author: The Left Shift Bureau
- Tags: AI Models

Google DeepMind, in collaboration with Google Research, has [launched](https://blog.google/technology/google-deepmind/weathernext-2/?ref=theleftshift.com) WeatherNext 2, its most advanced AI-based weather forecasting model to date. 

The system promises faster, more accurate, and higher-resolution global predictions, according to a blog post by Google. 

Powered by a novel architecture called a Functional Generative Network (FGN), WeatherNext 2 can generate hundreds of possible weather scenarios from a single input in under a minute using just one TPU. This represents a major speed boost — the model is eight times faster than its predecessor.

*"The weather affects important decisions and high quality weather forecasting has a significant impact on people, businesses and society. In recent years AI-based modeling has dramatically enhanced what’s possible with weather forecasting and the new WeatherNext 2 models are more accurate, of higher resolution, and more efficient,"* [*Yossi Matias*](https://www.linkedin.com/in/yossimatias/?ref=theleftshift.com)*, Vice President, Head of Google Research, said.*

In addition to performance gains, the model outperforms WeatherNext 1 on 99.9% of variables, such as temperature, humidity, and wind, across forecast lead times up to 15 days. 

WeatherNext 2 also offers finer temporal resolution, delivering hourly predictions that are more useful for decision-making. 

Google is rolling out WeatherNext 2 data through several platforms: it’s now accessible in Earth Engine, BigQuery, and via an early-access program on Vertex AI. 

The model’s forecasts are already integrated into consumer-facing tools such as Google Search, Gemini, Pixel Weather, and the Maps Platform’s weather API — with more Google Maps rollout expected soon. 

*"WeatherNext 2 represents a significant step in translating breakthrough AI from the lab into high-impact, operational applications. We are making powerful tools available to the global community to accelerate scientific discovery and build a more resilient future," Matias added.*