DOI: 10.1007/s00382-015-2889-2
Scopus记录号: 2-s2.0-84945555079
论文题名: Multi-model ensemble analysis of Pacific and Atlantic SST variability in unperturbed climate simulations
作者: Zanchettin D. ; Bothe O. ; Rubino A. ; Jungclaus J.H.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 47, 期: 2017-03-04 起始页码: 1073
结束页码: 1090
语种: 英语
英文摘要: We assess internally-generated climate variability expressed by a multi-model ensemble of unperturbed climate simulations. We focus on basin-scale annual-average sea surface temperatures (SSTs) from twenty multicentennial pre-industrial control simulations contributing to the fifth phase of the Coupled Model Intercomparison Project. Ensemble spatial patterns of regional modes of variability and ensemble (cross-)wavelet-based phase-frequency diagrams of corresponding paired indices summarize the ensemble characteristics of inter-basin and regional-to-global SST interactions on a broad range of timescales. Results reveal that tropical and North Pacific SSTs are a source of simulated interannual global SST variability. The North Atlantic-average SST fluctuates in rough co-phase with the global-average SST on multidecadal timescales, which makes it difficult to discern the Atlantic Multidecadal Variability (AMV) signal from the global signal. The two leading modes of tropical and North Pacific SST variability converge towards co-phase in the multi-model ensemble, indicating that the Pacific Decadal Oscillation (PDO) results from a combination of tropical and extra-tropical processes. No robust inter- or multi-decadal inter-basin SST interaction arises from our ensemble analysis between the Pacific and Atlantic oceans, though specific phase-locked fluctuations occur between Pacific and Atlantic modes of SST variability in individual simulations and/or periods within individual simulations. The multidecadal modulation of PDO by the AMV identified in observations appears to be a recurrent but not typical feature of ensemble-simulated internal variability. Understanding the mechanism(s) and circumstances favoring such inter-basin SST phasing and related uncertainties in their simulated representation could help constraining uncertainty in decadal climate predictions. © 2015, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53616
Appears in Collections: 过去全球变化的重建
There are no files associated with this item.
作者单位: Max Planck Institute for Meteorology, Bundesstrasse 53, Hamburg, Germany; Department of Environmental Sciences, Informatics and Statistics, Ca’Foscari University of Venice, Via Torino, 155, Mestre, Venice, Italy; Leibniz-Institut für Atmosphärenphysik e.V. an der Universität Rostock, Schlossstraße 6, Kühlungsborn, Germany
Recommended Citation:
Zanchettin D.,Bothe O.,Rubino A.,et al. Multi-model ensemble analysis of Pacific and Atlantic SST variability in unperturbed climate simulations[J]. Climate Dynamics,2016-01-01,47(2017-03-04)