| Title | Description | Tools URL |
|---|---|---|
| Climate Forecasting Toolbox | The Climate Forecasting Toolbox is a Python based tool for statistical climate forecasting. |
https://github.com/sadccsc/cft |
| The Climate Predictability Tool (CPT) | IRI created the Climate Predictability Tool (CPT)—at the heart of PyCPT—to facilitate the development of best-practices in statistical/empirical seasonal climate forecasting for NMHSs using multiple linear regression. |
https://iri-pycpt.github.io/PyCPT2-Seasonal-Forecast-User-Guide/cpt.html |
| The Climate Predictability Tool | The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data |
https://iri.columbia.edu/our-expertise/climate/tools/cpt/ |
| XCast | XCast is a Python Climate Forecasting toolkit - a set of flexible functions and classes that let you implement any forecasting workflow you can think of. |
https://xcast-lib.github.io/ |
Tools
The SADC Climate Services Centre provides operational, regional services for monitoring and predicting extremes in climate condition. The Centre develops and disseminates meteorological, environmental and hydro-meteorological products. The Centre’s products contribute to improved disaster risk management in the region, and help to ensure Member States are better prepared for weather and climate disasters, conservation and protection of natural resources.