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    Predictability of Mesoscale Variability in the East Australian Current Given Strong-Constraint Data Assimilation 

    Source: Journal of Physical Oceanography:;2012:;Volume( 042 ):;issue: 009:;page 1402
    Author(s): Zavala-Garay, Javier; Wilkin, J. L.; Arango, H. G.
    Publisher: American Meteorological Society
    Abstract: ne of the many applications of data assimilation is the estimation of adequate initial conditions for model forecasts. In this work, the authors evaluate to what extent the incremental, strong-constraint, four-dimensional ...
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    Circulation and Dynamics of the Western North Atlantic. Part I: Multiscale Feature Models 

    Source: Journal of Atmospheric and Oceanic Technology:;1997:;volume( 014 ):;issue: 006:;page 1314
    Author(s): Gangopadhyay, Avijit; Robinson, A. R.; Arango, H. G.
    Publisher: American Meteorological Society
    Abstract: This is the first part of a three-part study on the circulation, dynamics, and mesoscale forecasting of the western North Atlantic. The overall objective of this series of studies is threefold: 1) to present a methodology ...
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    Real-Time Operational Forecasting on Shipboard of the Iceland-Faeroe Frontal Variability 

    Source: Bulletin of the American Meteorological Society:;1996:;volume( 077 ):;issue: 002:;page 243
    Author(s): Robinson, A. R.; Arango, H. G.; Leslie, W. G.; Miller, A. J.; Warn-Varnas, A.; Poulain, P-M.
    Publisher: American Meteorological Society
    Abstract: Real-time operational shipboard forecasts of Iceland-Faeroe frontal variability were executed for the first time with a primitive equation mode. High quality, intensive hydrographic surveys during August 1993 were used for ...
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    The Inverse Ocean Modeling System. Part II: Applications 

    Source: Journal of Atmospheric and Oceanic Technology:;2008:;volume( 025 ):;issue: 009:;page 1623
    Author(s): Muccino, J. C.; Luo, H.; Arango, H. G.; Haidvogel, D.; Levin, J. C.; Bennett, A. F.; Chua, B. S.; Egbert, G. D.; Cornuelle, B. D.; Miller, A. J.; Di Lorenzo, E.; Moore, A. M.; Zaron, E. D.
    Publisher: American Meteorological Society
    Abstract: The Inverse Ocean Modeling (IOM) System is a modular system for constructing and running weak-constraint four-dimensional variational data assimilation (W4DVAR) for any linear or nonlinear functionally smooth dynamical ...
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