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Recipes

Recipes are complete, production-oriented reference pipelines, larger than examples, built to be adapted for real projects.

  • Huge Ensembles (HENS)


    A multi-checkpoint inference pipeline for large-scale ensemble weather forecasting, with thousands of members for tail-risk and extreme-event statistics.

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  • Subseasonal-to-Seasonal (S2S)


    Bridge the gap between weather forecasts and seasonal outlooks with AI-driven S2S forecasting pipelines.

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  • Tropical Cyclone Tracking


    Track tropical cyclones in AI forecast output, from genesis detection to track and intensity extraction.

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  • Model Evaluation


    Systematic scoring of AI weather models against reference data. Under construction.

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All recipes on GitHub