Windows of Opportunity for Skillful Forecasts Subseasonal to Seasonal and Beyond

Author:

Mariotti Annarita1,Baggett Cory2,Barnes Elizabeth A.3,Becker Emily4,Butler Amy5,Collins Dan C.6,Dirmeyer Paul A.7,Ferranti Laura8,Johnson Nathaniel C.9,Jones Jeanine10,Kirtman Ben P.4,Lang Andrea L.11,Molod Andrea12,Newman Matthew13,Robertson Andrew W.14,Schubert Siegfried15,Waliser Duane E.16,Albers John13

Affiliation:

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

Abstract

AbstractThere 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.

Publisher

American Meteorological Society

Subject

Atmospheric Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3