About SAGE

Goals

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Research Plan

Goals

To achieve the overall aim of the project, the SAGE project will address four objectives.

Four objectives

O1

Advance our understanding of how and where sub-seasonal to seasonal forecast information is and can be used to support decision-making

Expected Outcome

Researchers, forecast users and forecast providers have a better understanding of the potential to use sub-seasonal to seasonal forecasts to support decision-making.

Expected Outputs

Publications and training materials for users and early career researchers.

O2

Advance our understanding of the skill and uncertainty and their sources in impact relevant sub-seasonal to seasonal forecasts

Expected Outcome

Researchers, forecast users and forecast providers have a better understanding of regime dependent variations in forecast skill and uncertainty and how to quantify it.

Expected Outputs
  • Publicly available research datasets from extended sub-seasonal reforecasts and process sensitivity experiments.
  • Peer reviewed publications on sources of regime dependent skill.
  • Documents methods for regime dependent post-processing/forecast calibration.
O3

Develop methods for incorporating sub-seasonal forecasts and their associated uncertainty into decision-making and evaluating the added benefit of forecast information

Expected Outcome

Forecast providers and users have improved methods for incorporating sub-seasonal to seasonal forecast information into their decision-making processes and measuring the value of that forecast information.

Expected Outputs

A set of guidelines outlining the process of how best to identify different user needs and tailor forecasts, and recommendations on how to deal with uncertainty when dealing with S2S information.

O4

Develop the community of scientists and practitioners who can advance the use of sub-seasonal to seasonal forecasts in decision-making

Expected Outcome

Improved capacity and capability for advancing the use and communication of sub-seasonal to seasonal forecast information in decision-making.

Expected Outputs

Training materials and recorded webinars on S2S forecast, communication and information.