Advances in the Application and Utility of Subseasonal-to-Seasonal PredictionsSource: Bulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 006::page E1448Author: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
DOI: 10.1175/BAMS-D-20-0224.1Publisher: American Meteorological Society
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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| contributor author | Christopher J. White | |
| contributor author | Daniela I. V. Domeisen | |
| contributor author | Nachiketa Acharya | |
| contributor author | Elijah A. Adefisan | |
| contributor author | Michael L. Anderson | |
| contributor author | Stella Aura | |
| contributor author | Ahmed A. Balogun | |
| contributor author | Douglas Bertram | |
| contributor author | Sonia Bluhm | |
| contributor author | David J. Brayshaw | |
| contributor author | Jethro Browell | |
| contributor author | Dominik Büeler | |
| contributor author | Andrew Charlton-Perez | |
| contributor author | Xandre Chourio | |
| date accessioned | 2023-04-12T18:48:14Z | |
| date available | 2023-04-12T18:48:14Z | |
| date copyright | 2022/06/13 | |
| date issued | 2022 | |
| identifier other | BAMS-D-20-0224.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4290280 | |
| description 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 | |
| publisher | American Meteorological Society | |
| title | Advances in the Application and Utility of Subseasonal-to-Seasonal Predictions | |
| type | Journal Paper | |
| journal volume | 103 | |
| journal issue | 6 | |
| journal title | Bulletin of the American Meteorological Society | |
| identifier doi | 10.1175/BAMS-D-20-0224.1 | |
| journal fristpage | E1448 | |
| journal lastpage | E1472 | |
| page | E1448–E1472 | |
| tree | Bulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 006 | |
| contenttype | Fulltext |