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    Observed Feedback between Winter Sea Ice and the North Atlantic Oscillation 

    Source: Journal of Climate:;2009:;volume( 022 ):;issue: 022:;page 6021
    Author(s): Strong, Courtenay; Magnusdottir, Gudrun; Stern, Hal
    Publisher: American Meteorological Society
    Abstract: Feedback between the North Atlantic Oscillation (NAO) and winter sea ice variability is detected and quantified using approximately 30 years of observations, a vector autoregressive model (VAR), and testable definitions ...
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    Variability of Arctic Sea Ice Thickness Using PIOMAS and the CESM Large Ensemble 

    Source: Journal of Climate:;2018:;volume 031:;issue 008:;page 3233
    Author(s): Labe, Zachary; Magnusdottir, Gudrun; Stern, Hal
    Publisher: American Meteorological Society
    Abstract: AbstractBecause of limited high-quality satellite and in situ observations, less attention has been given to the trends in Arctic sea ice thickness and therefore sea ice volume than to the trends in sea ice extent. This ...
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    A Bayesian Framework for Storm Tracking Using a Hidden-State Representation 

    Source: Monthly Weather Review:;2009:;volume( 138 ):;issue: 006:;page 2132
    Author(s): Scharenbroich, Lucas; Magnusdottir, Gudrun; Smyth, Padhraic; Stern, Hal; Wang, Chia-chi
    Publisher: American Meteorological Society
    Abstract: A probabilistic tracking model is introduced that identifies storm tracks from feature vectors that are extracted from meteorological analysis data. The model assumes that the genesis and lysis times of each track are ...
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    Uncertainty Estimates of the EOF-Derived North Atlantic Oscillation 

    Source: Journal of Climate:;2013:;volume( 027 ):;issue: 003:;page 1290
    Author(s): Wang, Yi-Hui; Magnusdottir, Gudrun; Stern, Hal; Tian, Xu; Yu, Yaming
    Publisher: American Meteorological Society
    Abstract: ifferent approaches to obtaining uncertainty estimates of the North Atlantic Oscillation (NAO) are explored. The resulting estimates are used to enhance the understanding of spatial variability of the NAO over different ...
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    Detecting the ITCZ in Instantaneous Satellite Data using Spatiotemporal Statistical Modeling: ITCZ Climatology in the East Pacific 

    Source: Journal of Climate:;2010:;volume( 024 ):;issue: 001:;page 216
    Author(s): Bain, Caroline L.; De Paz, Jorge; Kramer, Jason; Magnusdottir, Gudrun; Smyth, Padhraic; Stern, Hal; Wang, Chia-chi
    Publisher: American Meteorological Society
    Abstract: A Markov random field (MRF) statistical model is introduced, developed, and validated for detecting the east Pacific intertropical convergence zone in instantaneous satellite data from May through October. The MRF statistical ...
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    DSpace software copyright © 2002-2015  DuraSpace
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