CANARI-ML/canari-ml

Main repo tracking/including early CANARI-ML work

26
/ 100
Experimental

This project helps meteorologists and climate scientists forecast North Atlantic zonal wind patterns at 700hPa. It takes pre-processed environmental data, uses machine learning models to analyze it, and outputs predictions and visualizations of future wind conditions. This is primarily for researchers and scientists in atmospheric and climate science.

Use this if you need to generate machine learning-driven forecasts for North Atlantic zonal wind and want tools for data preparation, model training, and result visualization.

Not ideal if you need a production-ready solution, as this is currently an experimental codebase with ongoing changes.

meteorology climate-forecasting atmospheric-science environmental-modeling
No Package No Dependents
Maintenance 6 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 0 / 25

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Stars

7

Forks

Language

Python

License

MIT

Last pushed

Oct 20, 2025

Commits (30d)

0

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