Climate and Dynamics
The role of eastern Siberian snow and soil moisture anomalies in quasi-biennial persistence of the Arctic and North Atlantic Oscillations
Article first published online: 31 AUG 2011
DOI: 10.1029/2010JD015311
Copyright 2011 by the American Geophysical Union.
Additional Information
How to Cite
, and (2011), The role of eastern Siberian snow and soil moisture anomalies in quasi-biennial persistence of the Arctic and North Atlantic Oscillations, J. Geophys. Res., 116, D16125, doi:10.1029/2010JD015311.
Publication History
- Issue published online: 31 AUG 2011
- Article first published online: 31 AUG 2011
- Manuscript Accepted: 8 JUN 2011
- Manuscript Revised: 8 APR 2011
- Manuscript Received: 8 NOV 2010
Keywords:
- Arctic Oscillation;
- North Atlantic Oscillation;
- snow cover;
- soil moisture
[1] Variations in the Arctic Oscillation (AO) and its regional manifestation, the North Atlantic Oscillation (NAO), generate much of the nonseasonal variability in the winter climate over the Northern Hemisphere midlatitudes. Despite being an internal mode of the atmosphere, the Arctic and North Atlantic Oscillations (N/AO) exhibit a slightly red spectrum, varying on quasi-biennial (2–3 years) and quasi-decadal time scales. Such low-frequency variability is likely due to the coupling of the atmosphere to boundary conditions and/or external forcings. Here we show that Eurasian snow cover, particularly over eastern Siberia (ESB), exhibits quasi-biennial persistence similar to the N/AO. Furthermore, the snow-AO mechanism operates on quasi-biennial timescales, with fall ESB snow cover significantly related to vertically propagating Rossby wave activity and the N/AO for the next two to three winters. On the basis of land surface model simulations from the Global Land Data Assimilation System (GLDAS), the interseasonal carryover of ESB snow is related to soil moisture anomalies and an evaporation-convection feedback. These findings suggest quasi-biennial persistence of the N/AO is partly due to land surface forcing in the form of both ESB snow and soil moisture anomalies.

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