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    On the Approximation of the Coriolis Terms in C-Grid Models 

    Source: Monthly Weather Review:;2004:;volume( 132 ):;issue: 009:;page 2283
    Author(s): Nechaev, Dmitri; Yaremchuk, Max
    Publisher: American Meteorological Society
    Abstract: A new representation of the Coriolis terms on the Arakawa C grid is proposed. The approximation dumps the grid-scale noise that arises because of spatial averaging of the Coriolis terms when the grid spacing is larger than ...
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    On the Renormalization of the Covariance Operators 

    Source: Monthly Weather Review:;2011:;volume( 140 ):;issue: 002:;page 637
    Author(s): Yaremchuk, Max; Carrier, Matthew
    Publisher: American Meteorological Society
    Abstract: any background error correlation (BEC) models in data assimilation are formulated in terms of a smoothing operator , which simulates the action of the correlation matrix on a state vector normalized by respective BE ...
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    Inverse Modeling of Intra-annual Variability in the Subtropical North Pacific 

    Source: Journal of Physical Oceanography:;2002:;Volume( 032 ):;issue: 010:;page 2725
    Author(s): Yaremchuk, Max; Lebedev, Konstantin
    Publisher: American Meteorological Society
    Abstract: Climatological data on the oceanic and atmospheric variability are inverted to study seasonal variation of the Kuroshio Extension (KE) and the recirculation gyre to the south. The processed datasets include climatological ...
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    On Sensitivity Analysis within the 4DVAR Framework 

    Source: Monthly Weather Review:;2013:;volume( 142 ):;issue: 002:;page 774
    Author(s): Yaremchuk, Max; Martin, Paul
    Publisher: American Meteorological Society
    Abstract: he sensitivity of model forecasts to uncertainties in control variables is evaluated using the adjoint technique and the ensemble generated by the reduced-order four-dimensional variational data assimilation (R4DVAR) ...
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    Covariance Localization with the Diffusion-Based Correlation Models 

    Source: Monthly Weather Review:;2012:;volume( 141 ):;issue: 002:;page 848
    Author(s): Yaremchuk, Max; Nechaev, Dmitry
    Publisher: American Meteorological Society
    Abstract: mproving the performance of ensemble filters applied to models with many state variables requires regularization of the covariance estimates by localizing the impact of observations on state variables. A covariance ...
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    Seasonal Variability of the Large-Scale Currents near the Coast of the Philippines 

    Source: Journal of Physical Oceanography:;2004:;Volume( 034 ):;issue: 004:;page 844
    Author(s): Yaremchuk, Max; Qu, Tangdong
    Publisher: American Meteorological Society
    Abstract: The mean seasonal cycle of the western boundary currents in the tropical North Pacific Ocean is studied diagnostically by combining atmospheric climatologies with drifter, satellite altimetry, and hydrographic data in the ...
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    A Hybrid Background Error Covariance Model for Assimilating Glider Data into a Coastal Ocean Model 

    Source: Monthly Weather Review:;2011:;volume( 139 ):;issue: 006:;page 1879
    Author(s): Yaremchuk, Max; Nechaev, Dmitri; Pan, Chudong
    Publisher: American Meteorological Society
    Abstract: hybrid background error covariance (BEC) model for three-dimensional variational data assimilation of glider data into the Navy Coastal Ocean Model (NCOM) is introduced. Similar to existing atmospheric hybrid BEC models, ...
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    A Method of Successive Corrections of the Control Subspace in the Reduced-Order Variational Data Assimilation 

    Source: Monthly Weather Review:;2009:;volume( 137 ):;issue: 009:;page 2966
    Author(s): Yaremchuk, Max; Nechaev, Dmitri; Panteleev, Gleb
    Publisher: American Meteorological Society
    Abstract: A version of the reduced control space four-dimensional variational method (R4DVAR) of data assimilation into numerical models is proposed. In contrast to the conventional 4DVAR schemes, the method does not require development ...
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    Simulations of Quasigeostrophic Currents Derived from Satellite Altimetry and Acoustic Tomography of an Open Ocean Region 

    Source: Journal of Atmospheric and Oceanic Technology:;2001:;volume( 018 ):;issue: 011:;page 1894
    Author(s): Yaremchuk, Max I.; Nechaev, Dmitri A.
    Publisher: American Meteorological Society
    Abstract: Acoustic tomography (AT) and satellite altimetry (SA) measure properties of the ocean state with high temporal resolution. That makes these data suitable for long-term monitoring of mesoscale features in the open ocean ...
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    Adjoint-Free Variational Data Assimilation into a Regional Wave Model 

    Source: Journal of Atmospheric and Oceanic Technology:;2015:;volume( 032 ):;issue: 007:;page 1386
    Author(s): Panteleev, Gleb; Yaremchuk, Max; Rogers, W. Erick
    Publisher: American Meteorological Society
    Abstract: variational data assimilation algorithm is developed for the ocean wave prediction model [Wave Model (WAM)]. The algorithm employs the adjoint-free technique and was tested in a series of data assimilation experiments with ...
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