APCC Multi-Model Ensemble (MME)
Provides operational multi-model ensemble seasonal climate predictions by combining outputs from leading global climate prediction centres to improve seasonal forecast skill.
Coverage: Global
IRI Probablistic Seasonal Climate Forecast Product
Provides global probabilistic seasonal climate outlooks for temperature and precipitation to support climate-informed decision-making and seasonal forecasting.
NMME Seasonal Forecasts for International Regions
Provides operational multi-model ensemble seasonal forecast guidance for precipitation and temperature by combining forecasts from multiple North American climate prediction models.
WMO Lead Centre for Sub-seasonal Prediction Multi-Model Ensemble (S2S MME)
Provides standardized multi-model ensemble sub-seasonal forecast guidance by combining outputs from multiple international forecasting centres to improve forecast reliability and support operational forecasting.
Python Climate Predictability Tool (PyCPT)
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.
ECMWF Forecasts (ecCharts)
An interactive forecast visualization platform that provides access to ECMWF’s operational numerical weather prediction (NWP) products, ensemble forecasts, and derived forecast guidance to support weather forecasting and early warning.
Weathernerds ICON Forecast Viewer
A web-based forecast visualization platform that provides interactive access to ICON numerical weather prediction (NWP) outputs for operational weather forecasting and forecast interpretation.
Climate Predictability Tool (CPT)
Well established calibration tool for seasonal and recently sub-seasonal predictions
WMOLC
The main source of output from WMO GPC models. Containst standardised forecast maps and multi model predictions
XCAST
A Python-based climate forecasting toolkit designed to support statistical seasonal prediction, multi-model ensemble analysis, and reproducible forecasting workflows