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      Windows of Opportunity for Skillful Forecasts Subseasonal to Seasonal and Beyond

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          Abstract

          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.

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          Most cited references132

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          Stratospheric harbingers of anomalous weather regimes.

          Observations show that large variations in the strength of the stratospheric circulation, appearing first above approximately 50 kilometers, descend to the lowermost stratosphere and are followed by anomalous tropospheric weather regimes. During the 60 days after the onset of these events, average surface pressure maps resemble closely the Arctic Oscillation pattern. These stratospheric events also precede shifts in the probability distributions of extreme values of the Arctic and North Atlantic Oscillations, the location of storm tracks, and the local likelihood of mid-latitude storms. Our observations suggest that these stratospheric harbingers may be used as a predictor of tropospheric weather regimes.
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            The quasi-biennial oscillation

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              • Record: found
              • Abstract: not found
              • Article: not found

              Circumglobal Teleconnection in the Northern Hemisphere Summer*

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                Author and article information

                Journal
                Bulletin of the American Meteorological Society
                American Meteorological Society
                0003-0007
                1520-0477
                May 01 2020
                May 15 2020
                May 01 2020
                May 15 2020
                : 101
                : 5
                : E608-E625
                Affiliations
                [1 ]NOAA/Climate Program Office, Silver Spring, Maryland
                [2 ]Colorado State University, Fort Collins, Colorado, and NOAA/Innovim, LLC, College Park, Maryland
                [3 ]Colorado State University, Fort Collins, Colorado
                [4 ]University of Miami, Miami, Florida
                [5 ]Cooperative Institute for Research in Environmental Sciences, and NOAA/Chemical Sciences Division, Boulder, Colorado
                [6 ]NOAA/Climate Prediction Center, College Park, Maryland
                [7 ]George Mason University, Fairfax, Virginia
                [8 ]ECMWF, Reading, United Kingdom
                [9 ]NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
                [10 ]Department of Water Resources, Sacramento, California
                [11 ]University at Albany, State University of New York, Albany, New York
                [12 ]NASA Goddard Space Flight Center, Greenbelt, Maryland
                [13 ]University of Colorado Boulder, and Cooperative Institute for Research in Environmental Sciences, and NOAA/Physical Science Division, Boulder, Colorado
                [14 ]International Research Institute for Climate and Society, Palisades, New York
                [15 ]NASA Goddard Space Flight Center, and Science Systems and Applications, Inc, Greenbelt, Maryland
                [16 ]NASA Jet Propulsion Laboratory, Pasadena, California
                Article
                10.1175/BAMS-D-18-0326.1
                e32e6107-703a-48fe-b840-74b661f7989d
                © 2020
                History

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