TY - JOUR
T1 - Potential applications of subseasonal-to-seasonal (S2S) predictions
AU - White, Christopher J.
AU - Carlsen, Henrik
AU - Robertson, Andrew W.
AU - Klein, Richard J.T.
AU - Lazo, Jeffrey K.
AU - Kumar, Arun
AU - Vitart, Frederic
AU - Coughlan de Perez, Erin
AU - Ray, Andrea J.
AU - Murray, Virginia
AU - Bharwani, Sukaina
AU - MacLeod, Dave
AU - James, Rachel
AU - Fleming, Lora
AU - Morse, Andrew P.
AU - Eggen, Bernd
AU - Graham, Richard
AU - Kjellström, Erik
AU - Becker, Emily
AU - Pegion, Kathleen V.
AU - Holbrook, Neil J.
AU - McEvoy, Darryn
AU - Depledge, Michael
AU - Perkins-Kirkpatrick, Sarah
AU - Brown, Timothy J.
AU - Street, Roger
AU - Jones, Lindsey
AU - Remenyi, Tomas A.
AU - Hodgson-Johnston, Indi
AU - Buontempo, Carlo
AU - Lamb, Rob
AU - Meinke, Holger
AU - Arheimer, Berit
AU - Zebiak, Stephen E.
PY - 2017/7/12
Y1 - 2017/7/12
N2 - While seasonal outlooks have been operational for many years, until recently the extended-range timescale referred to as subseasonal-to-seasonal (S2S) has received little attention. S2S prediction fills the gap between short-range weather prediction and long-range seasonal outlooks. Decisions in a range of sectors are made in this extended-range lead time; therefore, there is a strong demand for this new generation of forecasts. International efforts are under way to identify key sources of predictability, improve forecast skill and operationalize aspects of S2S forecasts; however, challenges remain in advancing this new frontier. If S2S predictions are to be used effectively, it is important that, along with science advances, an effort is made to develop, communicate and apply these forecasts appropriately. In this study, the emerging operational S2S forecasts are presented to the wider weather and climate applications community by undertaking the first comprehensive review of sectoral applications of S2S predictions, including public health, disaster preparedness, water management, energy and agriculture. The value of applications-relevant S2S predictions is explored, and the opportunities and challenges facing their uptake are highlighted. It is shown how social sciences can be integrated with S2S development, from communication to decision-making and valuation of forecasts, to enhance the benefits of 'climate services' approaches for extended-range forecasting. While S2S forecasting is at a relatively early stage of development, it is concluded that it presents a significant new window of opportunity that can be explored for application-ready capabilities that could allow many sectors the opportunity to systematically plan on a new time horizon.
AB - While seasonal outlooks have been operational for many years, until recently the extended-range timescale referred to as subseasonal-to-seasonal (S2S) has received little attention. S2S prediction fills the gap between short-range weather prediction and long-range seasonal outlooks. Decisions in a range of sectors are made in this extended-range lead time; therefore, there is a strong demand for this new generation of forecasts. International efforts are under way to identify key sources of predictability, improve forecast skill and operationalize aspects of S2S forecasts; however, challenges remain in advancing this new frontier. If S2S predictions are to be used effectively, it is important that, along with science advances, an effort is made to develop, communicate and apply these forecasts appropriately. In this study, the emerging operational S2S forecasts are presented to the wider weather and climate applications community by undertaking the first comprehensive review of sectoral applications of S2S predictions, including public health, disaster preparedness, water management, energy and agriculture. The value of applications-relevant S2S predictions is explored, and the opportunities and challenges facing their uptake are highlighted. It is shown how social sciences can be integrated with S2S development, from communication to decision-making and valuation of forecasts, to enhance the benefits of 'climate services' approaches for extended-range forecasting. While S2S forecasting is at a relatively early stage of development, it is concluded that it presents a significant new window of opportunity that can be explored for application-ready capabilities that could allow many sectors the opportunity to systematically plan on a new time horizon.
KW - climate prediction
KW - decision-support
KW - ensemble forecasts
KW - extended-range
KW - extremes
KW - forecasting
KW - seasonal prediction
UR - http://www.scopus.com/inward/record.url?scp=85017365355&partnerID=8YFLogxK
U2 - 10.1002/met.1654
DO - 10.1002/met.1654
M3 - Review article
AN - SCOPUS:85017365355
SN - 1350-4827
VL - 24
SP - 315
EP - 325
JO - Meteorological Applications
JF - Meteorological Applications
IS - 3
ER -