English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Multi-model ensemble analysis of Pacific and Atlantic SST variability in unperturbed climate simulations

MPS-Authors
/persons/resource/persons37386

Zanchettin,  Davide
Director’s Research Group OES, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society;

/persons/resource/persons49546

Bothe,  Oliver
Director’s Research Group OES, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society;

/persons/resource/persons37193

Jungclaus,  Johann H.
Director’s Research Group OES, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society;
A 3 - Climate Sensitivity and Sea Level, Research Area A: Climate Dynamics and Variability, The CliSAP Cluster of Excellence, External Organizations;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Zanchettin, D., Bothe, O., Rubino, A., & Jungclaus, J. H. (2016). Multi-model ensemble analysis of Pacific and Atlantic SST variability in unperturbed climate simulations. Climate Dynamics, 47, 1073-1090. doi:10.1007/s00382-015-2889-2.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0028-FE9B-E
Abstract
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