An open-source Python interface that modernizes the Climate Predictability Tool (CPT), enabling automated statistical seasonal forecasting, forecast calibration, verification, and reproducible climate forecasting workflows.
Python Climate Predictability Tool (PyCPT)
Link To DSS: https://github.com/iri-pycpt
Developer: International Research Institute for Climate and Society
Stage Of Maturity: Mature
- Coverage: Global
- Climate Timescales Covered: Extended Range (Sub-seasonal), Historical / Baseline, Seasonal
Strengths
- Open-source and freely available
- Automates seasonal forecasting workflows
- Reproducible analyses
- Integrates with modern Python ecosystem
- Easier workflow management than desktop CPT
- Strong community support through IRI
Weaknesses
- Requires Python programming skills
- Not intended for non-technical users
- No standalone web interface
- Requires quality historical datasets
Synergies
- Uses observational datasets managed through DataEx and WIS 2.0.
- Produces seasonal forecasts that can be customized using FOCUS.
- Complements modern forecasting workflows with XCAST and CPT.
- Provides forecast inputs for downstream platforms including CST, SMART, and Agromet DSSs.