期刊论文详细信息
Meteorological applications
Potential applications of subseasonal-to-seasonal (S2S) predictions
article
Christopher J. White1  Henrik Carlsen3  Andrew W. Robertson4  Richard J.T. Klein3  Jeffrey K. Lazo5  Arun Kumar6  Frederic Vitart7  Erin Coughlan de Perez4  Andrea J. Ray9  Virginia Murray1,10  Sukaina Bharwani3  Dave MacLeod1,11  Rachel James1,12  Lora Fleming1,13  Andrew P. Morse1,14  Bernd Eggen1,15  Richard Graham1,16  Erik Kjellström1,17  Emily Becker6  Kathleen V. Pegion1,18  Neil J. Holbrook1,19  Darryn McEvoy2,20  Michael Depledge1,13  Sarah Perkins-Kirkpatrick2,21  Timothy J. Brown2,22  Roger Street2,23  Lindsey Jones2,24  Tomas A. Remenyi2  Indi Hodgson-Johnston2  Carlo Buontempo1,16  Rob Lamb2,25  Holger Meinke2,27  Berit Arheimer1,17  Stephen E. Zebiak4 
[1] School of Engineering and ICT, University of Tasmania;Antarctic Climate and Ecosystems Cooperative Research Centre (ACE CRC);Stockholm Environment Institute;International Research Institute for Climate and Society, Columbia University;National Center for Atmospheric Research (NCAR)/Research Applications Laboratory (RAL);National Oceanic and Atmospheric Administration (NOAA)/Climate Prediction Center (CPC), College Park;European Centre for Medium-range Weather Forecasting (ECMWF);Red Cross/Red Crescent Climate Centre, International Research Institute for Climate and Society, Columbia University;National Oceanic and Atmospheric Administration (NOAA)/Earth System Research Laboratory (ESRL);Public Health England (PHE);Department of Physics, University of Oxford;Environmental Change Institute, University of Oxford;European Centre for Environment and Human Health, University of Exeter;School of Environmental Sciences, University of Liverpool;Centre for Radiation, Public Health England (PHE);UK Met Office;Swedish Meteorological and Hydrological Institute (SMHI);Department of Atmospheric, Oceanic and Earth Sciences and Center for Ocean-Land-Atmosphere Studies, George Mason University;ARC Centre of Excellence for Climate System Science, Institute for Marine and Antarctic Studies, University of Tasmania;Global Cities Research Institute, RMIT University;ARC Centre of Excellence for Climate System Science, Climate Change Research Centre, University of New South Wales;Desert Research Institute;UK Climate Impacts Programme (UKCIP), University of Oxford;London School of Economics and Political Science (LSE);Lancaster Environment Centre, Lancaster University;JBA Trust;Tasmanian Institute of Agriculture, University of Tasmania;Climate Information Services Ltd
关键词: climate prediction;    forecasting;    decision-support;    ensemble forecasts;    extremes;    extended-range;    seasonal prediction;   
DOI  :  10.1002/met.1654
学科分类:社会科学、人文和艺术(综合)
来源: Wiley
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【 摘 要 】

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.

【 授权许可】

CC BY|CC BY-NC|CC BY-NC-ND   

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