Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/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
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
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). |
条目包含的文件 | 条目无相关文件。 |
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