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    Advances in the Application and Utility of Subseasonal-to-Seasonal Predictions

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    BAMS-D-20-0224.1.pdf (11.64Mb)
    Date
    2022
    Author
    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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    Abstract
    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
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4290280
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