Climate Dynamics

, Volume 38, Issue 5, pp 929–949

Atlantic Multidecadal Oscillation and Northern Hemisphere’s climate variability


    • Department of Geologic Sciences, CIRES, Benson Earth Sciences BuildingUniversity of Colorado-Boulder
  • Sergey Kravtsov
    • Department of Mathematical Sciences, Atmospheric Sciences GroupUniversity of Wisconsin-Milwaukee
  • Anastasios A. Tsonis
    • Department of Mathematical Sciences, Atmospheric Sciences GroupUniversity of Wisconsin-Milwaukee

DOI: 10.1007/s00382-011-1071-8

Cite this article as:
Wyatt, M.G., Kravtsov, S. & Tsonis, A.A. Clim Dyn (2012) 38: 929. doi:10.1007/s00382-011-1071-8


Proxy and instrumental records reflect a quasi-cyclic 50–80-year climate signal across the Northern Hemisphere, with particular presence in the North Atlantic. Modeling studies rationalize this variability in terms of intrinsic dynamics of the Atlantic Meridional Overturning Circulation influencing distribution of sea-surface-temperature anomalies in the Atlantic Ocean; hence the name Atlantic Multidecadal Oscillation (AMO). By analyzing a lagged covariance structure of a network of climate indices, this study details the AMO-signal propagation throughout the Northern Hemisphere via a sequence of atmospheric and lagged oceanic teleconnections, which the authors term the “stadium wave”. Initial changes in the North Atlantic temperature anomaly associated with AMO culminate in an oppositely signed hemispheric signal about 30 years later. Furthermore, shorter-term, interannual-to-interdecadal climate variability alters character according to polarity of the stadium-wave-induced prevailing hemispheric climate regime. Ongoing research suggests mutual interaction between shorter-term variability and the stadium wave, with indication of ensuing modifications of multidecadal variability within the Atlantic sector. Results presented here support the hypothesis that AMO plays a significant role in hemispheric and, by inference, global climate variability, with implications for climate-change attribution and prediction.


Climate indicesTeleconnectionsAMONAOENSOPDO

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© Springer-Verlag 2011