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DOI10.1175/BAMS-D-18-0326.1
Windows of opportunity for skillful forecasts subseasonal to seasonal and beyond
Mariotti A.; Baggett C.; Barnes E.A.; Becker E.; Butler A.; Collins D.C.; Dirmeyer P.A.; Ferranti L.; Johnson N.C.; Jones J.; Kirtman B.P.; Lang A.L.; Molod A.; Newman M.; Robertson A.W.; Schubert S.; Waliser D.E.; Albers J.
发表日期2020
ISSN00030007
起始页码E608
结束页码E625
卷号101期号:5
英文摘要There is high demand and a growing expectation for predictions of environmental conditions that go beyond 0-14-day weather forecasts with outlooks extending to one or more seasons and beyond. This is driven by the needs of the energy, water management, and agriculture sectors, to name a few. There is an increasing realization that, unlike weather forecasts, prediction skill on longer time scales can leverage specific climate phenomena or conditions for a predictable signal above the weather noise. Currently, it is understood that these conditions are intermittent in time and have spatially heterogeneous impacts on skill, hence providing strategic windows of opportunity for skillful forecasts. Research points to such windows of opportunity, including El Niño or La Niña events, active periods of the Madden-Julian oscillation, disruptions of the stratospheric polar vortex, when certain large-scale atmospheric regimes are in place, or when persistent anomalies occur in the ocean or land surface. Gains could be obtained by increasingly developing prediction tools and metrics that strategically target these specific windows of opportunity. Across the globe, reevaluating forecasts in this manner could find value in forecasts previously discarded as not skillful. Users' expectations for prediction skill could be more adequately met, as they are better aware of when and where to expect skill and if the prediction is actionable. Given that there is still untapped potential, in terms of process understanding and prediction methodologies, it is safe to expect that in the future forecast opportunities will expand. Process research and the development of innovative methodologies will aid such progress. © 2020 American Meteorological Society.
语种英语
scopus关键词Agricultural robots; Climatology; Water management; Agriculture sectors; Environmental conditions; Innovative methodologies; Madden-Julian oscillation; Prediction methodology; Prediction tools; Process understanding; Stratospheric polar vortex; Weather forecasting
来源期刊Bulletin of the American Meteorological Society
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/177897
作者单位NOAA, Climate Program Office, Silver Spring, MD, United States; Colorado State University, Fort Collins, CO, United States; NOAA, Innovim, LLC, College Park, MD, United States; University of Miami, Miami, FL, United States; Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States; NOAA, Chemical Sciences Division, Boulder, CO, United States; NOAA, Climate Prediction Center, College Park, MD, United States; George Mason University, Fairfax, VA, United States; ECMWF, Reading, United Kingdom; NOAA, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; Department of Water Resources, Sacramento, CA, United States; University at Albany, State University of New York, Albany, NY, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; University of Colorado Boulder, Boulder, CO, United States; NOAA, Physical Science Division, Boulder, CO, United States; International Research Institute for Climate and Society, Palisades, NY, United States; Scie...
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Mariotti A.,Baggett C.,Barnes E.A.,et al. Windows of opportunity for skillful forecasts subseasonal to seasonal and beyond[J],2020,101(5).
APA Mariotti A..,Baggett C..,Barnes E.A..,Becker E..,Butler A..,...&Albers J..(2020).Windows of opportunity for skillful forecasts subseasonal to seasonal and beyond.Bulletin of the American Meteorological Society,101(5).
MLA Mariotti A.,et al."Windows of opportunity for skillful forecasts subseasonal to seasonal and beyond".Bulletin of the American Meteorological Society 101.5(2020).
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