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    A Markov Model for Seasonal Forecast of Antarctic Sea Ice 

    Source: Journal of Climate:;2004:;volume( 017 ):;issue: 016:;page 3156
    Author(s): Chen, Dake; Yuan, Xiaojun
    Publisher: American Meteorological Society
    Abstract: A linear Markov model has been developed to simulated and predict the short-term climate change in the Antarctic, with particular emphasis on sea ice variability. Seven atmospheric variables along with sea ice were chosen ...
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    The Influence of the Indian Ocean Dipole on Antarctic Sea Ice 

    Source: Journal of Climate:;2015:;volume( 028 ):;issue: 007:;page 2682
    Author(s): Nuncio, M.; Yuan, Xiaojun
    Publisher: American Meteorological Society
    Abstract: his study explores the impact of the Indian Ocean dipole (IOD) on the Southern Hemisphere sea ice variability. Singular value decomposition (SVD) of September?November sea ice concentration and sea surface temperature (SST) ...
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    Shallow Salinity Minima in the North Pacific 

    Source: Journal of Physical Oceanography:;1992:;Volume( 022 ):;issue: 011:;page 1302
    Author(s): Yuan, Xiaojun; Talley, Lynne D.
    Publisher: American Meteorological Society
    Abstract: CTD/STD data from 24 cruises in the North Pacific are studied for their vertical salinity structure and compared to bottle observations. A triple-salinity minimum is found in two separated regions in the eastern North ...
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    The Early Winter Sea Ice Variability under the Recent Arctic Climate Shift 

    Source: Journal of Climate:;2014:;volume( 027 ):;issue: 013:;page 5092
    Author(s): Yang, Xiao-Yi; Yuan, Xiaojun
    Publisher: American Meteorological Society
    Abstract: his study reveals that sea ice in the Barents and Kara Seas plays a crucial role in establishing a new Arctic coupled climate system. The early winter sea ice before 1998 shows double dipole patterns over the Arctic ...
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    Antarctic Sea Ice Extent Variability and Its Global Connectivity 

    Source: Journal of Climate:;2000:;volume( 013 ):;issue: 010:;page 1697
    Author(s): Yuan, Xiaojun; Martinson, Douglas G.
    Publisher: American Meteorological Society
    Abstract: This study statistically evaluates the relationship between Antarctic sea ice extent and global climate variability. Temporal cross correlations between detrended Antarctic sea ice edge (SIE) anomaly and various climate ...
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    Persistence of North Pacific Sea Surface Temperature and Atmospheric Flow Patterns 

    Source: Journal of Climate:;1988:;volume( 001 ):;issue: 007:;page 682
    Author(s): Namias, Jerome; Yuan, Xiaojun; Cayan, Daniel R.
    Publisher: American Meteorological Society
    Abstract: North Pacific monthly sea surface temperature (SST) anomalies are more persistent than a first-order Markev process, often lasting for more than 5 months. Sea surface temperature persistence undergoes an annual cycle that ...
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    Predicting Summer Arctic Sea Ice Concentration Intraseasonal Variability Using a Vector Autoregressive Model 

    Source: Journal of Climate:;2015:;volume( 029 ):;issue: 004:;page 1529
    Author(s): Wang, Lei; Yuan, Xiaojun; Ting, Mingfang; Li, Cuihua
    Publisher: American Meteorological Society
    Abstract: ecent Arctic sea ice changes have important societal and economic impacts and may lead to adverse effects on the Arctic ecosystem, weather, and climate. Understanding the predictability of Arctic sea ice melting is thus ...
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    The Interconnected Global Climate System—A Review of Tropical–Polar Teleconnections 

    Source: Journal of Climate:;2017:;volume 031:;issue 015:;page 5765
    Author(s): Yuan, Xiaojun; Kaplan, Michael R.; Cane, Mark A.
    Publisher: American Meteorological Society
    Abstract: AbstractThis paper summarizes advances in research on tropical?polar teleconnections, made roughly over the last decade. Elucidating El Niño?Southern Oscillation (ENSO) impacts on high latitudes has remained an important ...
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    Understanding Arctic Sea Ice Thickness Predictability by a Markov Model 

    Source: Journal of Climate:;2023:;volume( 036 ):;issue: 015:;page 4879
    Author(s): Wang, Yunhe; Yuan, Xiaojun; Bi, Haibo; Ren, Yibin; Liang, Yu; Li, Cuihua; Li, Xiaofeng
    Publisher: American Meteorological Society
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