# Fast weather forecast with artificial intelligence

WeatherNext, developed by Google DeepMind, is a model that uses generative artificial intelligence (generative AI) for weather forecasts. It aims to make faster and higher resolution atmospheric predictions compared to traditional physical simulations.

- ★ 7,149
- Python
- GitHub Trending · 2026-08-10

## What you get
- Makes medium-term atmospheric weather forecasts.
- Performs hurricane tracking and analysis.
- It offers high resolution data processing capacity.

## Installation
**Library installation**

```
pip install git+https://github.com/google-deepmind/weathernext.git@v0.3.0
```


## If you don't write code
I need to make a medium-term weather forecast for a specific region using the WeatherNext model. How can I load model weights via Google Cloud Bucket and start the forecast cycle by processing weather data (like temperature, wind speed)? Can you specifically explain the steps required for hurricane tracking?

## Related dictionary terms

## Links
- GitHub repository →
- Read in Turkish →

---
Source: TreScout Discover · https://trescout.com/en/discover/weathernext/