DOI: 10.1002/grl.50129
论文题名: Seasonal forecast skill of Arctic sea ice area in a dynamical forecast system
作者: Sigmond M. ; Fyfe J.C. ; Flato G.M. ; Kharin V.V. ; Merryfield W.J.
刊名: Geophysical Research Letters
ISSN: 0094-9339
EISSN: 1944-9070
出版年: 2013
卷: 40, 期: 3 起始页码: 529
结束页码: 534
语种: 英语
英文关键词: Arctic sea ice area
; dynamical forecast system
; seasonal forecast
Scopus关键词: Climatology
; Sea ice
; Arctic sea ice
; Dynamical model
; Ensemble forecasts
; Forecast systems
; Sea-ice components
; Seasonal forecasts
; Seasonal prediction
; Seasonal variation
; Forecasting
; correlation
; ensemble forecasting
; sea ice
; seasonal variation
; spatiotemporal analysis
; Arctic Ocean
英文摘要: We assess the seasonal forecast skill of pan-Arctic sea ice area in a dynamical forecast system that includes interactive atmosphere, ocean, and sea ice components. Forecast skill is quantified by the correlation skill score computed from 12 month ensemble forecasts initialized in each month between January 1979 to December 2009. We find that forecast skill is substantial for all lead times and predicted seasons except spring but is mainly due to the strong downward trend in observations for lead times of about 4 months and longer. Skill is higher when evaluated against an observation-based dataset with larger trends. The forecast skill when linear trends are removed from the forecasts and verifying observations is small and generally not statistically significant at lead times greater than 2 to 3 months, except for January/February when forecast skill is moderately high up to an 11 month lead time. For short lead times, high trend-independent forecast skill is found for October, while low skill is found for November/December. This is consistent with the seasonal variation of observed lag correlations. For most predicted months and lead times, trend-independent forecast skill exceeds that of an anomaly persistence forecast, highlighting the potential for dynamical forecast systems to provide valuable seasonal predictions of Arctic sea ice. Key Points We present and explain forecast skill of sea ice area in a dynamical model Forecast skill is very sensitive to the magnitude of the trend Achieved forecast skill generally exceeds that of persistence forecasts ©2012. American Geophysical Union. All Rights Reserved.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877997099&doi=10.1002%2fgrl.50129&partnerID=40&md5=1b81c96118e1e1dedb6096383e82f71c
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/6603
Appears in Collections: 气候减缓与适应
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作者单位: Department of Physics, University of Toronto, Toronto, ON, Canada
Recommended Citation:
Sigmond M.,Fyfe J.C.,Flato G.M.,et al. Seasonal forecast skill of Arctic sea ice area in a dynamical forecast system[J]. Geophysical Research Letters,2013-01-01,40(3).