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      Response of the Dominant Modes of Atmospheric Circulation in the Northern Hemisphere to a Projected Arctic Sea Ice Loss in 2007

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          This study revisits the Arctic sea ice extent (SIE) for the extended period of 1979–2015 based on satellite measurements and finds that the Arctic SIE experienced three different periods: a moderate sea ice decline period for 1979–1996, an accelerated sea ice decline period from 1997 to 2006, and large interannual variation period after 2007, when Arctic sea ice reached its tipping point reported by Livina and Lenton (2013). To address the response of atmospheric circulation to the lowest sea ice conditions with a large interannual variation, we investigated the dominant modes for large atmospheric circulation responses to the projected 2007 Arctic sea ice loss using an atmospheric general circulation model (ECHAM5). The response was obtained from two 50-yr simulations: one with a repeating seasonal cycle of specified sea ice concentration for the period of 1979–1996 and one with that of sea ice conditions in 2007. The results suggest more occurrences of a negative Arctic Oscillation (AO) response to the 2007 Arctic sea ice conditions, accompanied by an North Atlantic Oscillation (NAO)-type atmospheric circulation response under the largest sea ice loss, and more occurrences of the positive Arctic Dipole (AD) mode under the 2007 sea ice conditions, with an across-Arctic wave train pattern response to the largest sea ice loss in the Arctic. This study offers a new perspective for addressing the response of atmospheric circulation to sea ice changes after the Arctic reached the tipping point in 2007.

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          Author and article information

          Journal of Ocean University of China
          Science Press and Springer (China )
          14 May 2019
          01 June 2019
          : 18
          : 3
          : 589-595
          1 Key Laboratory of Physical Oceanography, Ocean University of China, Qingdao 266100, China
          2 Laboratory for Ocean and Climate Dynamics, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266100, China
          3 Ningbo Collaborative Innovation Center of Nonlinear Harzard System of Ocean and Atmosphere, Ningbo University, Ningbo 315211, China
          4 Department of Meteorology and International Pacific Research Center, University of Hawaii, Honolulu 96822, USA
          Author notes
          *Corresponding author: HUANG Fei
          Copyright © Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2019.

          The copyright to this article, including any graphic elements therein (e.g. illustrations, charts, moving images), is hereby assigned for good and valuable consideration to the editorial office of Journal of Ocean University of China, Science Press and Springer effective if and when the article is accepted for publication and to the extent assignable if assignability is restricted for by applicable law or regulations (e.g. for U.S. government or crown employees).

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