A mechanism for Atlantic multidecadal variability in the Kiel Climate Model

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Ba, J., Keenlyside, N. S., Park, W., Latif, M., Hawkins, E. orcid id iconORCID: https://orcid.org/0000-0001-9477-3677 and Ding, H. (2013) A mechanism for Atlantic multidecadal variability in the Kiel Climate Model. Climate Dynamics, 41 (7-8). pp. 2133-2144. ISSN 0930-7575 doi: 10.1007/s00382-012-1633-4

Abstract/Summary

Atlantic Multidecadal Variability (AMV) is investigated in a millennial control simulation with the Kiel Climate Model (KCM), a coupled atmosphere–ocean–sea ice model. An oscillatory mode with approximately 60 years period and characteristics similar to observations is identified with the aid of three-dimensional temperature and salinity joint empirical orthogonal function analysis. The mode explains 30 % of variability on centennial and shorter timescales in the upper 2,000 m of the North Atlantic. It is associated with changes in the Atlantic Meridional Overturning Circulation (AMOC) of ±1–2 Sv and Atlantic Sea Surface Temperature (SST) of ±0.2 °C. AMV in KCM results from an out-of-phase interaction between horizontal and vertical ocean circulation, coupled through Irminger Sea convection. Wintertime convection in this region is mainly controlled by salinity anomalies transported by the Subpolar Gyre (SPG). Increased (decreased) dense water formation in this region leads to a stronger (weaker) AMOC after 15 years, and this in turn leads to a weaker (stronger) SPG after another 15 years. The key role of salinity variations in the subpolar North Atlantic for AMV is confirmed in a 1,000 year long simulation with salinity restored to model climatology: No low frequency variations in convection are simulated, and the 60 year mode of variability is absent.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/30543
Identification Number/DOI 10.1007/s00382-012-1633-4
Refereed Yes
Divisions Interdisciplinary Research Centres (IDRCs) > Walker Institute
Science > School of Mathematical, Physical and Computational Sciences > NCAS
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher Springer
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