IOCAS-IR  > 海洋环流与波动重点实验室
Climate variability and predictability associated with the Indo-Pacific Oceanic Channel Dynamics in the CCSM4 Coupled System Model
Yuan Dongliang1,2; Xu Peng1,3; Xu Tengfei4
2017
Source PublicationCHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY
Volume35Issue:1Pages:23-38
SubtypeArticle
AbstractAn experiment using the Community Climate System Model (CCSM4), a participant of the Coupled Model Intercomparison Project phase-5 (CMIP5), is analyzed to assess the skills of this model in simulating and predicting the climate variabilities associated with the oceanic channel dynamics across the Indo-Pacific Oceans. The results of these analyses suggest that the model is able to reproduce the observed lag correlation between the oceanic anomalies in the southeastern tropical Indian Ocean and those in the cold tongue in the eastern equatorial Pacific Ocean at a time lag of 1 year. This success may be largely attributed to the successful simulation of the interannual variations of the Indonesian Throughflow, which carries the anomalies of the Indian Ocean Dipole (IOD) into the western equatorial Pacific Ocean to produce subsurface temperature anomalies, which in turn propagate to the eastern equatorial Pacific to generate ENSO. This connection is termed the "oceanic channel dynamics" and is shown to be consistent with the observational analyses. However, the model simulates a weaker connection between the IOD and the interannual variability of the Indonesian Throughflow transport than found in the observations. In addition, the model overestimates the westerly wind anomalies in the western-central equatorial Pacific in the year following the IOD, which forces unrealistic upwelling Rossby waves in the western equatorial Pacific and downwelling Kelvin waves in the east. This assessment suggests that the CCSM4 coupled climate system has underestimated the oceanic channel dynamics and overestimated the atmospheric bridge processes.
KeywordIndian Ocean Dipole El Nino-southern Oscillations (Enso) Oceanic Channel Community Climate System Model (Ccsm4) Indonesian Throughflow Enso Predictability
DOI10.1007/s00343-016-5178-y
Indexed BySCI
Language英语
WOS IDWOS:000390003700002
Citation statistics
Document Type期刊论文
Version出版稿
Identifierhttp://ir.qdio.ac.cn/handle/337002/136237
Collection海洋环流与波动重点实验室
Affiliation1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves KLOCAW, Qingdao 266071, Peoples R China
2.Qingdao Collaborat Innovat Ctr Marine Sci & Techn, Qingdao 266003, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.State Ocean Adm, Inst Oceanog 1, Qingdao 266061, Peoples R China
Recommended Citation
GB/T 7714
Yuan Dongliang,Xu Peng,Xu Tengfei. Climate variability and predictability associated with the Indo-Pacific Oceanic Channel Dynamics in the CCSM4 Coupled System Model[J]. CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2017,35(1):23-38.
APA Yuan Dongliang,Xu Peng,&Xu Tengfei.(2017).Climate variability and predictability associated with the Indo-Pacific Oceanic Channel Dynamics in the CCSM4 Coupled System Model.CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,35(1),23-38.
MLA Yuan Dongliang,et al."Climate variability and predictability associated with the Indo-Pacific Oceanic Channel Dynamics in the CCSM4 Coupled System Model".CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY 35.1(2017):23-38.
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