WeatherNext Graph
WeatherNext Graph represents a significant step forward for AI weather prediction. It offers more accurate and efficient deterministic forecasts (i.e. single prediction), compared to the best deterministic systems in use today.
WeatherNext
Our most advanced weather forecasting AI technology
WeatherNext, a family of AI models from Google DeepMind and Google Research, produces state-of-the-art weather forecasts.
The challenge of global weather forecasting
The weather dictates how we dress in the morning, helps us generate green energy – and creates storms that threaten communities. In a world of increasingly extreme weather, fast and accurate forecasts are crucial.
Predicting the weather remains challenging. Weather systems are chaotic, involving massive amounts of data, and we can’t account for - or measure - every variable. Even small inaccuracies in measurement are quickly magnified.
AI models can help us make predictions that are faster and more reliable than those created with traditional methods. These AI models are already transforming how we forecast the weather, helping us make better decisions, and improving disaster response, grid reliability, and global food security.
We're sharing our models with scientists and forecasters, to accelerate their work and ultimately benefit billions of people around the world.
AI is bringing faster, more accurate weather predictions to the world.
Model family
WeatherNext models are faster and more efficient than traditional physics-based weather models and yield superior forecast reliability.
The gains in prediction performance could help experts to better anticipate weather conditions, so they can save lives in the face of extreme weather events, and enhance the reliability of energy and supply chains.
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Why use this model?
For applications where efficiency and temporal resolution are paramount, and deterministic forecasts are easier to work with.
Forecast per time and location
1 single weather forecast
Temporal resolution
6 hour
Lead time
10 day
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WeatherNext Gen
WeatherNext Gen accurately generates an ensemble forecast (i.e. a range of likely future weather scenarios), better than current ensemble models most widely used today. This helps decision-makers better understand weather uncertainties and risks of extreme conditions.
Why use this model?
Our latest model, with a longer lead time. Probabilistic forecasts capture a wider range of possible weather trajectories, ideal for aiding applications like cyclone tracking.
Forecast per time and location
Ensemble of up to 50 weather forecasts
Temporal resolution
12 hour
Lead time
15 day
Weather Lab
Weather Lab is an interactive website where you can test our experimental weather forecasting models.
The first available is our new experimental cyclone prediction model. It can predict where cyclones will form, and their likely path, up to 15 days in advance. The model can also forecast cyclone intensity, size, and structure.
Weather Lab predictions are not official weather reports or warnings. They are generated by models still under development and are not official warnings. Please keep that in mind when using the predictions, including to support any decisions based on these. For official weather forecasts and warnings, refer to your local meteorological agency or national weather service.