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Potential applications of subseasonal-to-seasonal (S2S) predictions
- Source :
- Meteorological Applications. 24:315-325
- Publication Year :
- 2017
- Publisher :
- Wiley, 2017.
-
Abstract
- 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.
- Subjects :
- Atmospheric Science
Window of opportunity
Operationalization
010504 meteorology & atmospheric sciences
Operations research
0208 environmental biotechnology
Forecast skill
Time horizon
Weather and climate
02 engineering and technology
Environmental economics
01 natural sciences
020801 environmental engineering
Business
Predictability
Lead time
0105 earth and related environmental sciences
Valuation (finance)
Subjects
Details
- ISSN :
- 13504827
- Volume :
- 24
- Database :
- OpenAIRE
- Journal :
- Meteorological Applications
- Accession number :
- edsair.doi...........7e829768086d2a628db5b357f2571ea9
- Full Text :
- https://doi.org/10.1002/met.1654