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DOI10.1175/JCLI-D-18-0389.1
Assessing Seasonal Predictability Sources and Windows of High Predictability in the Climate Forecast System, Version 2
Miller, Douglas E.; Wang, Zhuo
2019-02-01
发表期刊JOURNAL OF CLIMATE
ISSN0894-8755
EISSN1520-0442
出版年2019
卷号32期号:4页码:1307-1326
文章类型Article
语种英语
国家USA
英文摘要

The representation of ENSO and NAO are examined in the Climate Forecast System, version 2 ( CFSv2), reforecasts with a focus on the physical processes related to teleconnections and predictability. CFSv2 predicts ENSO well, but an eastward shift of the tropical Pacific sea surface temperature ( SST) anomalies is evident. Although it appears minor on the global scale, the shift in convection and the large- scale wave train affects the model prediction of regional climate. In contrast, NAO is predicted poorly. The anomaly correlation coefficient ( ACC) between the model ensemble mean and the observation is 0.27 during 1982- 2010, and the ensemble spread is large. The representation of three sources of NAO predictability- SST, the stratospheric polar vortex, and the Arctic sea ice concentration- is investigated. It is found that the link between tropical Pacific SST and NAO is not well represented in CFSv2, and that the troposphericstratospheric interactions are too weak, both contributing to the poor prediction of NAO. Additionally, the impact of ENSO and NAO on prediction skill of CFSv2 in boreal winter is analyzed in terms of the spatial ACC of geopotential height. Active ENSO events exhibit larger prediction skill than neutral years, especially during the ENSO1/ NAO2 and ENSO2/ NAO1 winters. Spatial patterns of prediction skill are also examined, and larger skill of geopotential height and 2- m air temperature is found outlined by the nodes of the PNA pattern, consistent with the large signal- to- noise ratios associated with the ENSO teleconnection.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000473259100004
WOS关键词NORTH-ATLANTIC OSCILLATION ; WEATHER REGIMES ; SEA-ICE ; GEOPOTENTIAL HEIGHT ; SST ANOMALIES ; ENSO ; PREDICTION ; IMPACT ; VARIABILITY ; EDDY
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
被引频次:9[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/181279
专题气候变化
作者单位Univ Illinois, Urbana, IL 61820 USA
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GB/T 7714
Miller, Douglas E.,Wang, Zhuo. Assessing Seasonal Predictability Sources and Windows of High Predictability in the Climate Forecast System, Version 2[J]. JOURNAL OF CLIMATE,2019,32(4):1307-1326.
APA Miller, Douglas E.,&Wang, Zhuo.(2019).Assessing Seasonal Predictability Sources and Windows of High Predictability in the Climate Forecast System, Version 2.JOURNAL OF CLIMATE,32(4),1307-1326.
MLA Miller, Douglas E.,et al."Assessing Seasonal Predictability Sources and Windows of High Predictability in the Climate Forecast System, Version 2".JOURNAL OF CLIMATE 32.4(2019):1307-1326.
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