TY - JOUR
T1 - Advances in the application and utility of subseasonal-to-seasonal predictions
AU - White, Christopher J.
AU - Domeisen, Daniela I. V.
AU - Acharya, Nachiketa
AU - Adefisan, Elijah A.
AU - Anderson, Michael L.
AU - Aura, Stella
AU - Balogun, Ahmed A.
AU - Bertram, Douglas
AU - Bluhm, Sonia
AU - Brayshaw, David J.
AU - Browell, Jethro
AU - Büeler, Domink
AU - Charlton-Perez, Andrew
AU - Chourio, Xandre
AU - Christel, Isadora
AU - Coelho, Caio A. S.
AU - DeFlorio, Michael J.
AU - Delle Monache, Luca
AU - Di Giuseppe, Francesca
AU - García-Solórzano, Ana María
AU - Gibson, Peter B.
AU - Goddard, Lisa
AU - González Romero, Carmen
AU - Graham, Richard J.
AU - Graham, Robert M.
AU - Grams, Christian M.
AU - Halford, Alan
AU - Huang, W. T. Katty
AU - Jensen, Kjeld
AU - Kilavi, Mary
AU - Lawal, Kamoru A.
AU - Lee, Robert W.
AU - MacLeod, David
AU - Manrique-Suñén, Andrea
AU - Martins, Eduardo S. P. R.
AU - Maxwell, Carolyn J.
AU - Merryfield, William J.
AU - Muñoz, Ángel G.
AU - Olaniyan, Eniola
AU - Otieno, George
AU - Oyedpo, John A.
AU - Palma, Lluís
AU - Pechlivanidis, Ilias G.
AU - Pons, Diego
AU - Ralph, F. Martin
AU - Reis Jr., Dirceu S.
AU - Remenyi, Tomas A.
AU - Risbey, James S.
AU - Robertson, Donald J. C.
AU - Robertson, Andrew W.
AU - Smith, Stefan
AU - Soret, Albert
AU - Sun, Ting
AU - Todd, Martin C.
AU - Tozer, Carly R.
AU - Vasconcelos Jr., Franisco C.
AU - Vigo, Ilaria
AU - Waliser, Duane E.
AU - Wetterhall, Fredrik
AU - Wilson, Robert G.
PY - 2021/11/22
Y1 - 2021/11/22
N2 - The subseasonal-to-seasonal (S2S) predictive timescale, encompassing lead times ranging from 2 weeks to a season, is at the frontier of forecasting science. Forecasts on this timescale 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 socio-economic 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 potential to actual S2S forecasting applications. We show that by placing user needs at the forefront of S2S forecast development – demonstrating both skill and utility across sectors – this dialogue can be used to help promote and accelerate the awareness, value and co-generation of S2S forecasts. We also highlight that while S2S forecasts are increasingly gaining interest among users, incorporating probabilistic S2S forecasts into existing decision-making operations is not trivial. Nevertheless, S2S forecasting represents a significant opportunity to generate useful, usable and actionable forecast applications for and with users that will increasingly unlock the potential of this forecasting timescale.
AB - The subseasonal-to-seasonal (S2S) predictive timescale, encompassing lead times ranging from 2 weeks to a season, is at the frontier of forecasting science. Forecasts on this timescale 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 socio-economic 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 potential to actual S2S forecasting applications. We show that by placing user needs at the forefront of S2S forecast development – demonstrating both skill and utility across sectors – this dialogue can be used to help promote and accelerate the awareness, value and co-generation of S2S forecasts. We also highlight that while S2S forecasts are increasingly gaining interest among users, incorporating probabilistic S2S forecasts into existing decision-making operations is not trivial. Nevertheless, S2S forecasting represents a significant opportunity to generate useful, usable and actionable forecast applications for and with users that will increasingly unlock the potential of this forecasting timescale.
KW - subseasonal-to-seasonal
KW - predictions
KW - forecasting
KW - S2S
KW - applications
KW - water resource management
KW - public health
KW - agriculture
KW - energy
KW - emergency management
U2 - 10.1175/BAMS-D-20-0224.1
DO - 10.1175/BAMS-D-20-0224.1
M3 - Article
SN - 1520-0477
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
ER -