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    Suboptimal Schemes for Retrospective Data Assimilation Based on the Fixed-Lag Kalman Smoother 

    Source: Monthly Weather Review:;1998:;volume( 126 ):;issue: 008:;page 2274
    Author(s): Todling, R.; Cohn, S. E.; Sivakumaran, N. S.
    Publisher: American Meteorological Society
    Abstract: The fixed-lag Kalman smoother was proposed recently by S. E. Cohn et al. as a framework for providing retrospective data assimilation capability in atmospheric reanalysis projects. Retrospective data assimilation refers ...
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    The Use of Spline Interpolation in Semi-Lagrangian Transport Models 

    Source: Monthly Weather Review:;1998:;volume( 126 ):;issue: 007:;page 2008
    Author(s): Riishøjgaard, L. P.; Cohn, S. E.; Li, Y.; Ménard, R.
    Publisher: American Meteorological Society
    Abstract: The accuracy of interpolating semi-Lagrangian (SL) discretization methods depends on the choice of the interpolating function. Results from barotropic transport simulations on the sphere are presented, using either bicubic ...
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    A Fully Implicit Scheme for the Barotropic Primitive Equations 

    Source: Monthly Weather Review:;1985:;volume( 113 ):;issue: 004:;page 436
    Author(s): Cohn, S. E.; Dee, D.; Marchesin, D.; Isaacson, E.; Zwas, G.
    Publisher: American Meteorological Society
    Abstract: An efficient implicit finite-difference method is developed and tested for a global barotropic model. The scheme requires at each time step the solution of only one-dimensional block-tridiagonal linear systems. This ...
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    Parallel Implementation of a Kalman Filter for Constituent Data Assimilation 

    Source: Monthly Weather Review:;1997:;volume( 125 ):;issue: 007:;page 1674
    Author(s): Lyster, P. M.; Cohn, S. E.; Ménard, R.; Chang, L-P.; Lin, S-J.; Olsen, R. G.
    Publisher: American Meteorological Society
    Abstract: A Kalman filter for the assimilation of long-lived atmospheric chemical constituents was developed for two-dimensional transport models on isentropic surfaces over the globe. Since the Kalman filter calculates the error ...
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