Potential Applications of Subseasonal-to-Seasonal (S2S) Predictions

The document explores the emerging field of subseasonal-to-seasonal (S2S) predictions, which bridge the gap between short-range weather forecasts and long-range seasonal outlooks. It identifies a strong demand for these forecasts across sectors such as public health, disaster preparedness, water management, energy, and agriculture, while emphasizing the need to integrate social sciences to improve communication and decision-making.

• Subseasonal-to-seasonal (S2S) prediction serves as a critical bridge in forecasting, filling the temporal gap between short-range weather predictions and long-range seasonal outlooks, which creates a strong demand for these forecasts across various sectors.
• The study identifies several key sectors that can benefit from S2S predictions, specifically public health, disaster preparedness, water management, energy, and agriculture, providing a window for these sectors to plan systematically on a new time horizon.
• Effective implementation of S2S predictions requires more than scientific advancement; it necessitates the integration of social sciences to improve the communication, application, and valuation of forecasts within 'climate services' frameworks.

APA

Stockholm Environment Institute (2017). Potential Applications of Subseasonal-to-Seasonal (S2S) Predictions. https://www.sei.org/publications/potential-applications-of-subseasonal-to-seasonal-s2s-predictions/

Chicago

Stockholm Environment Institute. Potential Applications of Subseasonal-to-Seasonal (S2S) Predictions. 2017. https://www.sei.org/publications/potential-applications-of-subseasonal-to-seasonal-s2s-predictions/.

Wikipedia

{{cite report |author=Stockholm Environment Institute |title=Potential Applications of Subseasonal-to-Seasonal (S2S) Predictions |date=6 April 2017 |url=https://www.sei.org/publications/potential-applications-of-subseasonal-to-seasonal-s2s-predictions/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{stockholmenvironmentinstitute2017potential, author = {{Stockholm Environment Institute}}, title = {{Potential Applications of Subseasonal-to-Seasonal (S2S) Predictions}}, institution = {Stockholm Environment Institute}, year = {2017}, month = apr, url = {https://www.sei.org/publications/potential-applications-of-subseasonal-to-seasonal-s2s-predictions/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }