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Potential applications of subseasonal-to-seasonal (S2S) predictions


White, CJ and Carlsen, H and Robertson, AW and Klein, RJT and Lazo, JK and Kumar, A and Vitart, F and de Perez, EC and Ray, AJ and Murray, V and Bharwani, S and MacLeod, D and James, R and Fleming, L and Morse, AP and Eggen, B and Graham, R and Kjellstrom, E and Becker, E and Pegion, KV and Holbrook, NJ and McEvoy, D and Depledge, M and Perkins-Kirkpatrick, S and Brown, TJ and Street, R and Jones, L and Remenyi, T and Hodgson-Johnston, I and Buontempo, C and Lamb, R and Meinke, H and Arheimer, B and Zebiak, SE, Potential applications of subseasonal-to-seasonal (S2S) predictions, Meteorological Applications, 24, (3) pp. 315-325. ISSN 1350-4827 (2017) [Refereed Article]

Copyright Statement

Copyright 2017 Royal Meteorological Society

DOI: doi:10.1002/met.1654


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.

Item Details

Item Type:Refereed Article
Keywords:meteorology, climate prediction, forecasting, decision-support, ensemble forecasts, extremes, extended-range, seasonal prediction
Research Division:Earth Sciences
Research Group:Atmospheric sciences
Research Field:Meteorology
Objective Division:Environmental Management
Objective Group:Air quality, atmosphere and weather
Objective Field:Weather
UTAS Author:White, CJ (Dr Chris White)
UTAS Author:Holbrook, NJ (Professor Neil Holbrook)
UTAS Author:Remenyi, T (Dr Tom Remenyi)
UTAS Author:Hodgson-Johnston, I (Dr Indi Hodgson-Johnston)
UTAS Author:Meinke, H (Professor Holger Meinke)
ID Code:115808
Year Published:2017
Web of Science® Times Cited:195
Deposited By:Oceans and Cryosphere
Deposited On:2017-04-11
Last Modified:2018-12-13

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