PyCast S2S

PyCast-S2S is an open-source Python framework for the operational post-processing of subseasonal-to-seasonal (S2S) hydrometeorological forecasts. It provides an end-to-end workflow that covers

1. spatial truncation of global forecasts to study domains,
2. restructuring of ensemble outputs into a consistent, analysis-ready format,
3. bias correction via quantile mapping,
4. forecast verification and skill diagnostics, and
5. transformation of ensembles into user-oriented products such as categorical outlooks and climate indicators.

The toolbox is designed for reproducible, routine processing in research and climate-service settings. It includes configuration templates, example notebooks, and documentation to help users adapt pipelines to their data and domains. The codebase follows standard Python packaging and is suitable for integration into automated workflows.

The official documentation can be found here.