气候变化领域集成服务门户(CCPortal): Natural decadal sea-level variability in the Indian Ocean: lessons from CMIP models

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DOI	10.1007/s00382-019-04885-z
	Natural decadal sea-level variability in the Indian Ocean: lessons from CMIP models
	Nidheesh A.G.; Lengaigne M.; Vialard J.; Izumo T.; Unnikrishnan A.S.; Krishnan R.
发表日期	2019
ISSN	0930-7575
起始页码	5653
结束页码	5673
卷号	53 期号:2020-09-10
英文摘要	Indian Ocean decadal sea-level variability is an active research area, with many unresolved questions due to inadequate observational coverage. In this study, we analyse 26 Coupled Model Intercomparison Project (CMIP) pre-industrial simulations and isolate two consistent modes of Indian Ocean variability, which collectively explain about 50% of the total decadal sea-level variance. With opposite sea-level signals in the southwestern and eastern Indian Ocean, the first mode is related to decadal modulation of the Indian Ocean Dipole (DIOD) and equatorial wind-driven dynamics. Though IOD is more independent of the El Niño–Southern Oscillation (ENSO) at decadal (r ~ 0.4) than interannual (r ~ 0.6) timescales, the DIOD–ENSO co-variability yields sea-level signals along the west coast of Australia, transmitted from the western Pacific via the Indonesian Throughflow. The second mode encompasses variability in the south Indian Ocean (SIODV), exhibiting a broad monopolar sea-level pattern east of Madagascar. In about half of the models, the SIODV is largely independent from DIOD (and decadal ENSO) and driven by south Indian Ocean wind-stress curl associated with meridional shifts in the Mascarene High (MH). In the other models, the SIODV lags the DIOD about 3 years. In those models, in addition to MH forcing, the DIOD-related alongshore wind stress off the northwest Australian coast triggers Rossby waves that also contribute to the SIODV, further west. The DIOD and MH forcing are mutually independent (r ~ 0.2). The results are broadly consistent with sea-level variations derived from the short altimeter data, despite an underestimation of the Oceanic bridge signals in CMIP models. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	CMIP; El Niño Southern Oscillation (ENSO); Indian Ocean; Indian Ocean Dipole (IOD); Natural decadal climate variability; Sea level
语种	英语
scopus关键词	climate change; climate modeling; CMIP; decadal variation; El Nino-Southern Oscillation; Indian Ocean Dipole; sea level change; wind; Indian Ocean
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/145902
作者单位	Centre for Climate Change Research (CCCR), Indian Institute of Tropical Meteorology (IITM), Pune, Maharashtra 401008, India; Sorbonne Universités (UPMC, Univ Paris 06)-CNRS-IRD-MNHN, LOCEAN Laboratory, IPSL, Paris, France; Indo-French Cell for Water Sciences, IISc-NIO-IITM-IRD Joint International Laboratory, NIO, Goa, India; CSIR-National Institute of Oceanography, Goa, India
推荐引用方式 GB/T 7714	Nidheesh A.G.,Lengaigne M.,Vialard J.,et al. Natural decadal sea-level variability in the Indian Ocean: lessons from CMIP models[J],2019,53(2020-09-10).
APA	Nidheesh A.G.,Lengaigne M.,Vialard J.,Izumo T.,Unnikrishnan A.S.,&Krishnan R..(2019).Natural decadal sea-level variability in the Indian Ocean: lessons from CMIP models.Climate Dynamics,53(2020-09-10).
MLA	Nidheesh A.G.,et al."Natural decadal sea-level variability in the Indian Ocean: lessons from CMIP models".Climate Dynamics 53.2020-09-10(2019).