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DOI10.1007/s00382-018-4288-y
Regional Arctic sea–ice prediction: potential versus operational seasonal forecast skill
Bushuk M.; Msadek R.; Winton M.; Vecchi G.; Yang X.; Rosati A.; Gudgel R.
发表日期2019
ISSN0930-7575
起始页码2721
结束页码2743
卷号52期号:2020-05-06
英文摘要Seasonal predictions of Arctic sea ice on regional spatial scales are a pressing need for a broad group of stakeholders, however, most assessments of predictability and forecast skill to date have focused on pan-Arctic sea–ice extent (SIE). In this work, we present the first direct comparison of perfect model (PM) and operational (OP) seasonal prediction skill for regional Arctic SIE within a common dynamical prediction system. This assessment is based on two complementary suites of seasonal prediction ensemble experiments performed with a global coupled climate model. First, we present a suite of PM predictability experiments with start dates spanning the calendar year, which are used to quantify the potential regional SIE prediction skill of this system. Second, we assess the system’s OP prediction skill for detrended regional SIE using a suite of retrospective initialized seasonal forecasts spanning 1981–2016. In nearly all Arctic regions and for all target months, we find a substantial skill gap between PM and OP predictions of regional SIE. The PM experiments reveal that regional winter SIE is potentially predictable at lead times beyond 12 months, substantially longer than the skill of their OP counterparts. Both the OP and PM predictions display a spring prediction skill barrier for regional summer SIE forecasts, indicating a fundamental predictability limit for summer regional predictions. We find that a similar barrier exists for pan-Arctic sea–ice volume predictions, but is not present for predictions of pan-Arctic SIE. The skill gap identified in this work indicates a promising potential for future improvements in regional SIE predictions. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词Arctic; Sea ice; Seasonal predictability
语种英语
scopus关键词climate modeling; forecasting method; prediction; sea ice; seasonal variation; Arctic
来源期刊Climate Dynamics
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/146493
作者单位Geophysical Fluid Dynamics Laboratory, NOAA, Princeton, NJ, United States; University Corporation for Atmospheric Research, Boulder, CO, United States; CNRS/CERFACS, CECI UMR 5318, Toulouse, France; Department of Geosciences, Princeton University, Princeton, NJ, United States; Princeton Environmental Institute, Princeton University, Princeton, NJ, United States
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GB/T 7714
Bushuk M.,Msadek R.,Winton M.,等. Regional Arctic sea–ice prediction: potential versus operational seasonal forecast skill[J],2019,52(2020-05-06).
APA Bushuk M..,Msadek R..,Winton M..,Vecchi G..,Yang X..,...&Gudgel R..(2019).Regional Arctic sea–ice prediction: potential versus operational seasonal forecast skill.Climate Dynamics,52(2020-05-06).
MLA Bushuk M.,et al."Regional Arctic sea–ice prediction: potential versus operational seasonal forecast skill".Climate Dynamics 52.2020-05-06(2019).
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