Decision-making
Better understanding of the potential to use sub-seasonal to seasonal forecasts to support decision-making.
SAGE (Sub-seasonal Applications for Agriculture and the Environment) is a World Weather Research Programme (WWRP) project of the World Meteorological Organization (WMO). Running from 2024 to 2028, SAGE aims to bridge the gap between weather and seasonal climate forecasts, making sub-seasonal to seasonal (S2S) predictions more useful, usable, and used in key decision-making processes.
SAGE builds on advances in sub-seasonal to seasonal prediction and focuses on strengthening the connection between forecast science and practical decision-making.
Sub-seasonal to seasonal forecasts, from 2 weeks to 2 months ahead, fill the gap between weather and seasonal climate forecasts. They have potential applications in agriculture, energy, health, water management, disaster risk reduction, and early warnings of high-impact events and their impacts on society.
By advancing both physical and social sciences, SAGE contributes to key sectors and supports the broader goals of WWRP, WMO activities, and the United Nations' Sustainable Development Goals (SDGs).
Building on the successes of the Sub-seasonal to Seasonal Prediction (S2S) Project, SAGE works to improve operational products, sub-seasonal prediction skill, understanding of sources of predictability, and communication of uncertainty. The project places particular emphasis on where forecasts can provide useful guidance, where forecast skill is limited, and how forecast information can support appropriate action in agriculture, energy, health, disaster risk reduction, and other climate-sensitive sectors.
Better understanding of the potential to use sub-seasonal to seasonal forecasts to support decision-making.
Better understanding of regime dependent variations in forecast skill and uncertainty and how to quantify it.
Methods for incorporating sub-seasonal to seasonal forecast information into decision-making processes and measuring the value of that forecast information.
Improved capacity and capability for advancing the use and communication of sub-seasonal to seasonal forecast information in decision-making.
One of the task teams focused on SAGE’s priority sectors. Applications Task Teams coordinate SAGE activities within that application, including developing collaborations with users, organizing sector reviews and surveys.
One of the task teams focused on SAGE’s priority sectors. Applications Task Teams coordinate SAGE activities within that application, including developing collaborations with users, organizing sector reviews and surveys.
One of the task teams focused on SAGE’s priority sectors. Applications Task Teams coordinate SAGE activities within that application, including developing collaborations with users, organizing sector reviews and surveys.
One of the task teams focused on SAGE’s priority sectors. Applications Task Teams coordinate SAGE activities within that application, including developing collaborations with users, organizing sector reviews and surveys.
The Predictability Task Team advances understanding of sources of predictability, forecast skill, and uncertainty, and works with the Applications Task Teams to connect prediction science with sectoral decision-making needs.
The full SAGE Research Plan provides further information on the project background, research questions, key partnerships, research activities, task-team structure, governance, monitoring and evaluation, and implementation schedule.