Collaborative resources / networking opportunities:

• WGSIP (Working Group on Subseasonal to Interdecadal Prediction) ESMO (Earth System Modelling and Observations) activity titled ML models for sub-seasonal and seasonal prediction. 
  • Initial white paper: MLmodelsforsub-seasonalandseasonalprediction.pdf
• WP-MIP: the Weather Prediction Model Intercomparison Project. The project includes sub-seasonal forecasting. 
  • White paper
• AGU 2025: Session A012 – Advancing AI and Machine Learning for Improved S2S Forecast Skill.
• AMS 2026: AI-Driven Innovations in S2S/S2D Forecasting: From Foundational Models to Explainable Predictability session.