NVIDIA/earth2mip

Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.

58
/ 100
Established

This tool helps climate researchers and scientists compare different AI models for weather and climate prediction. You can input various pre-trained AI weather models and historical atmospheric data, then run simulations to see how well each model predicts future weather conditions. It outputs scores and metrics like ACC/RMSE, allowing you to evaluate and understand the strengths and weaknesses of different AI approaches in capturing Earth's atmospheric physics.

254 stars.

Use this if you are a climate researcher or scientist who wants to experiment with and compare various AI models for weather and climate forecasting.

Not ideal if you are looking for a production-ready weather forecasting system or a tool for real-time operational weather prediction.

climate modeling weather forecasting atmospheric science AI model evaluation geospatial data analysis
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 22 / 25

How are scores calculated?

Stars

254

Forks

54

Language

Python

License

Apache-2.0

Last pushed

Jan 28, 2026

Commits (30d)

0

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