GSTDTAP  > 气候变化
DOI10.1175/JCLI-D-16-0840.1
Estimating Decadal Predictability for the Southern Ocean Using the GFDL CM2.1 Model
Zhang, Liping1,2; Delworth, Thomas L.2; Yang, Xiaosong2,3; Gudgel, Richard G.2; Jia, Liwei1,2; Vecchi, Gabriel A.2; Zeng, Fanrong2
2017-07-01
发表期刊JOURNAL OF CLIMATE
ISSN0894-8755
EISSN1520-0442
出版年2017
卷号30期号:14
文章类型Article
语种英语
国家USA
英文摘要

This study explores the potential predictability of the Southern Ocean (SO) climate on decadal time scales as represented in the GFDL CM2.1 model using prognostic methods. Perfect model predictability experiments are conducted starting from 10 different initial states, showing potentially predictable variations of Antarctic bottom water (AABW) formation rates on time scales as long as 20 years. The associated Weddell Sea (WS) subsurface temperatures and Antarctic sea ice have potential predictability comparable to that of the AABW cell. The predictability of sea surface temperature (SST) variations over the WS and the SO is somewhat smaller, with predictable scales out to a decade. This reduced predictability is likely associated with stronger damping from air-sea interaction. As a complement to this perfect predictability study, the authors also make hindcasts of SO decadal variability using the GFDL CM2.1 decadal prediction system. Significant predictive skill for SO SST on multiyear time scales is found in the hindcast system. The success of the hindcasts, especially in reproducing observed surface cooling trends, is largely due to initializing the state of the AABW cell. A weak state of the AABW cell leads to cooler surface conditions and more extensive sea ice. Although there are considerable uncertainties regarding the observational data used to initialize the hindcasts, the consistency between the perfect model experiments and the decadal hindcasts at least gives some indication as to where and to what extent skillful decadal SO forecasts might be possible.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000404018600004
WOS关键词ANTARCTIC SEA-ICE ; COUPLED CLIMATE MODELS ; MULTIDECADAL VARIABILITY ; POTENTIAL PREDICTABILITY ; DATA ASSIMILATION ; PART I ; TRENDS ; ENSEMBLE ; OSCILLATION ; SYSTEM
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/20182
专题气候变化
作者单位1.Princeton Univ, Atmospher & Ocean Sci, Princeton, NJ 08544 USA;
2.NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA;
3.Univ Corp Atmospher Res, Boulder, CO USA
推荐引用方式
GB/T 7714
Zhang, Liping,Delworth, Thomas L.,Yang, Xiaosong,et al. Estimating Decadal Predictability for the Southern Ocean Using the GFDL CM2.1 Model[J]. JOURNAL OF CLIMATE,2017,30(14).
APA Zhang, Liping.,Delworth, Thomas L..,Yang, Xiaosong.,Gudgel, Richard G..,Jia, Liwei.,...&Zeng, Fanrong.(2017).Estimating Decadal Predictability for the Southern Ocean Using the GFDL CM2.1 Model.JOURNAL OF CLIMATE,30(14).
MLA Zhang, Liping,et al."Estimating Decadal Predictability for the Southern Ocean Using the GFDL CM2.1 Model".JOURNAL OF CLIMATE 30.14(2017).
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