Advances in the Application and Utility of Subseasonal-to-Seasonal Predictions
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Date
2022Author
Christopher J. White
Daniela I. V. Domeisen
Nachiketa Acharya
Elijah A. Adefisan
Michael L. Anderson
Stella Aura
Ahmed A. Balogun
Douglas Bertram
Sonia Bluhm
David J. Brayshaw
Jethro Browell
Dominik Büeler
Andrew Charlton-Perez
Xandre Chourio
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The subseasonal-to-seasonal (S2S) predictive time scale, encompassing lead times ranging from 2 weeks to a season, is at the frontier of forecasting science. Forecasts on this time scale provide opportunities for enhanced application-focused capabilities to complement existing weather and climate services and products. There is, however, a “knowledge–value” gap, where a lack of evidence and awareness of the potential socioeconomic benefits of S2S forecasts limits their wider uptake. To address this gap, here we present the first global community effort at summarizing relevant applications of S2S forecasts to guide further decision-making and support the continued development of S2S forecasts and related services. Focusing on 12 sectoral case studies spanning public health, agriculture, water resource management, renewable energy and utilities, and emergency management and response, we draw on recent advancements to explore their application and utility. These case studies mark a significant step forward in moving from