Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s00382-019-04709-0 |
Seasonal predictability of the tropical Indian Ocean SST in the North American multimodel ensemble | |
Wu, Yanling1; Tang, Youmin1,2 | |
2019-09-01 | |
发表期刊 | CLIMATE DYNAMICS |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2019 |
卷号 | 53页码:3361-3372 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; Canada |
英文摘要 | In this study, we investigate the predictability of the tropical Indian Ocean (TIO) sea surface temperature anomalies (SSTA) using the recently released North American Multimodel Ensemble dataset (NMME). We place emphasis on the predictability of two interannual variability modes: the Indian Ocean Basin mode (IOBM) and the Indian Ocean Dipole (IOD). If defined by a 0.5 correlation skill, we find that the statistically skilful predictions correspond to an approximately 9- and 4-month lead for the two modes, respectively. We then applied a newly-developed predictability framework, i.e. Average Predictability Time method (APT), to explore the most potentially predictable mode (APT1) for the TIO SSTA. The derived APT1s correlate significantly to the IOBM and IOD, but are also characterised by several significant differences, which implies that there is a close link between the variability-related modes and the predictability-defined modes. Further analysis reveals that the predictability source of the IOBM-related APT1 originates from ENSO-induced thermocline variation over the southwest Indian Ocean, whereas wind-driven upwelling near Sumatra dominates IOD-related APT1. This study provides insights into the understanding of TIO SSTA predictability and offers a practical approach to obtain predictable targets to improve the TIO seasonal prediction skill. |
英文关键词 | Seasonal predictability Indian Ocean Dipole mode Indian Ocean Basin mode |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000483626900051 |
WOS关键词 | TO-INTERANNUAL PREDICTION ; DIPOLE MODE ; ENSO ; TEMPERATURE ; VARIABILITY ; EVENTS ; UNCERTAINTY ; ANOMALIES ; BARRIER ; 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/186379 |
专题 | 气候变化 |
作者单位 | 1.Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou, Zhejiang, Peoples R China; 2.Univ Northern British Columbia, Environm Sci & Engn, Prince George, BC, Canada |
推荐引用方式 GB/T 7714 | Wu, Yanling,Tang, Youmin. Seasonal predictability of the tropical Indian Ocean SST in the North American multimodel ensemble[J]. CLIMATE DYNAMICS,2019,53:3361-3372. |
APA | Wu, Yanling,&Tang, Youmin.(2019).Seasonal predictability of the tropical Indian Ocean SST in the North American multimodel ensemble.CLIMATE DYNAMICS,53,3361-3372. |
MLA | Wu, Yanling,et al."Seasonal predictability of the tropical Indian Ocean SST in the North American multimodel ensemble".CLIMATE DYNAMICS 53(2019):3361-3372. |
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