google-deepmind/weathernext

Health v2 · maintenance only

Adoption not part of the score

7596 stars · 973 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Google DeepMind's WeatherNext family of AI weather forecasting models, including WeatherNext 2, GraphCast, and GenCast, with code and pretrained weights to run global medium-range atmospheric and cyclone forecasts. It also points to daily forecast data feeds on Google Cloud, WeatherLab, and OpenMeteo.

Use cases

• run AI-based global weather forecasts
• forecast tropical cyclone tracks with machine learning
• generate ensemble weather predictions with diffusion models
• run GraphCast or GenCast locally on pretrained weights
• access daily WeatherNext forecast data feeds via API

When to choose

• you want to run state-of-the-art medium-range weather models yourself
• you need cyclone track forecasting with pretrained AI models
• you are doing research on ML-based weather prediction

When to avoid

• you only need forecast data without running models - use the hosted data feeds instead
• you need local high-resolution or nowcasting models
• you lack GPU/TPU resources, as inference is compute-intensive

Facets

library · maturity active

machine-learning deep-learning simulation data-science weather machine-learning artificial-intelligence data-science python cloud weather-forecasting graph-neural-networks diffusion-models cyclone-forecasting pretrained-models medium-range-forecasting gpu

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For agents

markdown · JSON · MCP: product_card(name="google-deepmind/weathernext")