Accessibility navigation


Variability of the Atlantic thermohaline circulation described by three-dimensional empirical orthogonal functions

Hawkins, E. ORCID: https://orcid.org/0000-0001-9477-3677 and Sutton, R. ORCID: https://orcid.org/0000-0001-8345-8583 (2007) Variability of the Atlantic thermohaline circulation described by three-dimensional empirical orthogonal functions. Climate Dynamics, 29 (7-8). pp. 745-762. ISSN 0930-7575

[img]
Preview
Text - Accepted Version
· Please see our End User Agreement before downloading.

15MB
[img] Image (Animated version of Figs. 7,8 from the main article.) - Supplemental Material
· Please see our End User Agreement before downloading.

2MB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1007/s00382-007-0263-8

Abstract/Summary

We describe the use of bivariate 3d empirical orthogonal functions (EOFs) in characterising low frequency variability of the Atlantic thermohaline circulation (THC) in the Hadley Centre global climate model, HadCM3. We find that the leading two modes are well correlated with an index of the meridional overturning circulation (MOC) on decadal timescales, with the leading mode alone accounting for 54% of the decadal variance. Episodes of coherent oscillations in the sub-space of the leading EOFs are identified; these episodes are of great interest for the predictability of the THC, and could indicate the existence of different regimes of natural variability. The mechanism identified for the multi-decadal variability is an internal ocean mode, dominated by changes in convection in the Nordic Seas, which lead the changes in the MOC by a few years. Variations in salinity transports from the Arctic and from the North Atlantic are the main feedbacks which control the oscillation. This mode has a weak feedback onto the atmosphere and hence a surface climatic influence. Interestingly, some of these climate impacts lead the changes in the overturning. There are also similarities to observed multi-decadal climate variability.

Item Type:Article
Refereed:Yes
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:794
Additional Information:publisher's erratum to this article is available at http://dx.doi.org/10.1007/s00382-007-0354-6 (see Related URLs for a live link)
Publisher:Springer
Publisher Statement:The original publication is available at www.springerlink.com

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation