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

This research paper examines the role of subseasonal-to-seasonal (S2S) predictions in filling the gap between short-term weather and long-term seasonal forecasts. It reviews applications in sectors such as agriculture, energy, and public health, emphasizing the need to integrate social sciences to improve the communication and uptake of these climate services.

• Subseasonal-to-seasonal (S2S) predictions fill a temporal gap between short-range weather forecasts and long-range seasonal outlooks, addressing a strong demand for forecasts in the extended-range lead time where decisions in various sectors are made.
• The study provides a comprehensive review of sectoral applications for S2S predictions, specifically identifying public health, disaster preparedness, water management, energy, and agriculture as relevant areas.
• While S2S forecasting is in an early stage of development, integrating social sciences into its development—specifically regarding communication, decision-making, and valuation—can enhance 'climate services' and allow sectors to plan systematically on a new time horizon.

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} }