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Volume 27 Issue 2

Mar.  2010

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2010 >  27(2): 211-229

Distinct Modes of Winter Arctic Sea Ice Motion and Their Associations with Surface Wind Variability

  • 1.

    Chinese Academy of Meteorological Sciences, Beijing 100081, Arctic Region Supercomputing Center, University of Alaska Fairbanks, Fairbanks, AK 99775, USA,Institute of Marine Science, University of Alaska Fairbanks, Fairbanks, AK 99775, USA


doi: 10.1007/s00376-009-8179-3

  • Using monthly mean sea ice velocity data obtained from the International Arctic Buoy Programme (IABP) for the period of 1979--1998 and the monthly mean NCEP/NCAR re-analysis dataset (1960--2002), we investigated the spatiotemporal evolution of the leading sea ice motion mode (based on a complex correlation matrix constructed of normalized sea ice motion velocity) and their association with sea level pressure (SLP) and the predominant modes of surface wind field variability. The results indicate that the leading winter sea ice motion modes spatial evolution is characterized by two alternating and distinct sea ice modes, or their linear combination. One mode (M1) shows a nearly closed cyclonic or anti-cyclonic circulation anomaly in the Arctic Basin and its marginal seas, resembling to a large extent the response of sea ice motion to the Arctic Oscillation (AO), as many previous studies have revealed. The other mode (M2) displays a coherent cyclonic or anti-cyclonic circulation anomaly with its center close to the Laptev Sea, which has not been identified in previous observational studies. In fact, M1 and M2 respectively reflect the responses of sea ice motion to two predominant modes of winter surface wind variability north of 70N, which well correspond, with slight differences, to the first two modes of EOF analysis of winter monthly mean SLP north of 70N. These slight differences in SLP anomalies lead to a difference of M2 from the response of sea ice motion to the dipole anomaly. Although the AO significantly influences sea ice motion, it is not crucial for the existence of M1. The new sea ice motion mode (M2) has the largest variance and clearly differs from the response of winter monthly mean sea ice motion to the dipole anomaly in SLP fields, and corresponding SLP anomalies also show differences compared to the dipole anomaly. This study indicates that in the Arctic Basin and its marginal seas, slight differences in SLP anomaly patterns can force distinctly different sea ice motion anomalies.
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    [2] GAO Yongqi, SUN Jianqi, LI Fei, HE Shengping, Stein SANDVEN, YAN Qing, ZHANG Zhongshi, Katja LOHMANN, Noel KEENLYSIDE, Tore FUREVIK, SUO Lingling, 2015: Arctic Sea Ice and Eurasian Climate: A Review, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 92-114.  doi: 10.1007/s00376-014-0009-6
    [3] Fei ZHENG, Yue SUN, Qinghua YANG, Longjiang MU, 2021: Evaluation of Arctic Sea-ice Cover and Thickness Simulated by MITgcm, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 29-48.  doi: 10.1007/s00376-020-9223-6
    [4] Zhuozhuo Lü, Shengping HE, Fei LI, Huijun WANG, 2019: Impacts of the Autumn Arctic Sea Ice on the Intraseasonal Reversal of the Winter Siberian High, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 173-188.  doi: 10.1007/s00376-017-8089-8
    [5] Zhicheng GE, Xuezhu WANG, Xidong WANG, 2023: Evaluation of the Arctic Sea-Ice Simulation on SODA3 Datasets, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 2302-2317.  doi: 10.1007/s00376-023-2320-6
    [6] Odd Helge OTTER, Helge DRANGE, 2004: A Possible Feedback Mechanism Involving the Arctic Freshwater,the Arctic Sea Ice, and the North Atlantic Drift, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 784-801.  doi: 10.1007/BF02916375
    [7] Wu Bingyi, Wang Jia, 2002: Possible Impacts of Winter Arctic Oscillation on Siberian High, the East Asian Winter Monsoon and Sea-Ice Extent, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 297-320.  doi: 10.1007/s00376-002-0024-x
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    • Manuscript History

    Manuscript received: 10 March 2010
    Manuscript revised: 10 March 2010
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

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    Distinct Modes of Winter Arctic Sea Ice Motion and Their Associations with Surface Wind Variability

    • 1. Chinese Academy of Meteorological Sciences, Beijing 100081, Arctic Region Supercomputing Center, University of Alaska Fairbanks, Fairbanks, AK 99775, USA,Institute of Marine Science, University of Alaska Fairbanks, Fairbanks, AK 99775, USA
    • Manuscript received: 2010-03-10
    • Manuscript revised: 2010-03-10

    Abstract: Using monthly mean sea ice velocity data obtained from the International Arctic Buoy Programme (IABP) for the period of 1979--1998 and the monthly mean NCEP/NCAR re-analysis dataset (1960--2002), we investigated the spatiotemporal evolution of the leading sea ice motion mode (based on a complex correlation matrix constructed of normalized sea ice motion velocity) and their association with sea level pressure (SLP) and the predominant modes of surface wind field variability. The results indicate that the leading winter sea ice motion modes spatial evolution is characterized by two alternating and distinct sea ice modes, or their linear combination. One mode (M1) shows a nearly closed cyclonic or anti-cyclonic circulation anomaly in the Arctic Basin and its marginal seas, resembling to a large extent the response of sea ice motion to the Arctic Oscillation (AO), as many previous studies have revealed. The other mode (M2) displays a coherent cyclonic or anti-cyclonic circulation anomaly with its center close to the Laptev Sea, which has not been identified in previous observational studies. In fact, M1 and M2 respectively reflect the responses of sea ice motion to two predominant modes of winter surface wind variability north of 70N, which well correspond, with slight differences, to the first two modes of EOF analysis of winter monthly mean SLP north of 70N. These slight differences in SLP anomalies lead to a difference of M2 from the response of sea ice motion to the dipole anomaly. Although the AO significantly influences sea ice motion, it is not crucial for the existence of M1. The new sea ice motion mode (M2) has the largest variance and clearly differs from the response of winter monthly mean sea ice motion to the dipole anomaly in SLP fields, and corresponding SLP anomalies also show differences compared to the dipole anomaly. This study indicates that in the Arctic Basin and its marginal seas, slight differences in SLP anomaly patterns can force distinctly different sea ice motion anomalies.

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