NVIDIA/earth2studio

Health v2 · maintenance only

Adoption not part of the score

1112 stars · 253 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Earth2Studio is a Python deep-learning framework from NVIDIA for building, exploring, and deploying AI-driven weather and climate workflows. It provides ready-to-use AI weather models (e.g., FourCastNet3), data sources, and inference pipelines runnable in a few lines of code.

Use cases

• run AI weather forecast with FourCastNet
• build deep learning weather prediction workflows
• fetch ERA5 or GFS data for climate research
• deploy AI climate models for inference
• compare AI weather models on GPU
• generate deterministic forecasts from GFS data

When to choose

• you want to run or experiment with AI weather/climate models in Python
• you need GPU-accelerated forecast inference with pluggable models and data sources
• you are doing research on AI-driven earth system modeling

When to avoid

• you need traditional numerical weather prediction (NWP) solvers
• you need a general-purpose climate data analysis or visualization tool without AI models
• you cannot use GPU resources

Facets

library · maturity active

deep-learning machine-learning data-science sdk weather artificial-intelligence deep-learning data-science python cloud weather-forecasting climate-modeling ai-weather-models earth-system-science inference-workflows nvidia climate-science linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="NVIDIA/earth2studio")