Marisol Osman
Co-leadCIMA / Universidad de Buenos Aires
Subseasonal and seasonal predictability; forecast applications for agriculture and energy.
The SAGE Energy Task Team advances the application of sub-seasonal to seasonal climate information in energy-sector decision-making, with a focus on energy demand, renewable resources, grid risks, hydropower operations, and climate-sensitive energy planning.
The SAGE Energy Task Team brings together researchers, forecasters, and energy-sector practitioners to advance the use of S2S climate information in energy decision-making. It focuses on translating S2S forecasts into actionable products for energy demand forecasting, renewable resource assessment, grid risk management, hydropower operations, and climate-sensitive planning.
The Task Team works closely with the SAGE Predictability Task Team to connect forecast skill, uncertainty quantification, and user-facing energy applications.
The Energy Task Team brings together expertise from climate prediction, energy meteorology, renewable energy, grid risk, hydrology, artificial intelligence, climate services, and decision support. Full biographies are available through the SAGE team pages.
CIMA / Universidad de Buenos Aires
Subseasonal and seasonal predictability; forecast applications for agriculture and energy.
IISER Berhampur
High-resolution NWP, cloud and convective processes, and AI/ML-enhanced model development.
Barcelona Supercomputing Center
Seamless climate predictions, climate services, renewable energy, and extreme events.
University of Oklahoma
S2S extreme weather prediction, polar vortex dynamics, ENSO, and sectoral applications.
Sun Yat-sen University
Medium-to-long-range prediction, MJO dynamics, and power-system weather risk applications.
UK Met Office
Climate model output, S2S predictions, future projections, and energy-sector applications.
University of Reading
S2S energy demand forecasting and wind resource forecasting.
China Meteorological Administration
S2S prediction, tropical air-sea interaction, and seamless weather-climate model development.
UK Met Office
Applied climate science, climate services co-production, S2S forecasting, and capacity development.
EDF R&D
S2S forecasting for energy, heat waves, cold spells, and climate impacts on extremes.
European Commission / Joint Research Centre
Energy policy and analysis within the European Commission's Joint Research Centre.
MeteoSwiss
Subseasonal predictability of regimes, cyclones, heatwaves, drought, and energy-sector products.
University of Illinois Urbana-Champaign
Hybrid AI-physics modeling and climate-related energy risks, including wind generation and heat.
UK Met Office
Energy-sector climate and weather applications; expertise details to be updated.
Direction Générale de la Météorologie
Energy-sector climate and weather applications; expertise details to be updated.
CONICET / Universidad de Río Negro
Climate science, renewable energy, wind and solar variability, and South American energy systems.
Translate S2S forecasts into energy demand outlooks, including heating and cooling demand, to support utility planning and grid operations.
Assess subseasonal and seasonal variability in wind and solar resources and support forecast-informed renewable energy planning.
Identify high-impact weather events that may affect energy infrastructure, supply continuity, and public safety.
Explore S2S hydrological predictability and its implications for hydropower generation, water management, and allocation.
Develop actionable climate information with energy system operators, regulators, policymakers, and other sectoral users.
Share methods, verification practices, and user engagement approaches across SAGE Task Teams and partner communities.
A review of S2S forecasting methods and their application to energy demand prediction.
Regional case studies on wind and solar resource predictability across South America, Europe, and Asia.
Development of early-warning approaches for extreme weather impacts on power systems.
Enhancement of subseasonal forecast products and user-friendly forecast opportunity metrics for the energy sector.
Engagement through climate services programmes, advisory panels, workshops, and webinars.
Practical material on applying S2S forecasts to energy demand prediction.
Case studies on renewable energy resource variability and S2S predictability.
Short briefs on high-impact weather risks for energy infrastructure and demand.
Tools and metrics for translating S2S information into energy-sector products.
Workshop, webinar, and meeting contributions related to S2S energy applications.