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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.