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Suboptimal Schemes for Retrospective Data Assimilation Based on the Fixed-Lag Kalman Smoother
 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 ...
The Use of Spline Interpolation in Semi-Lagrangian Transport Models
 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 ...
Coevolution of Down-Valley Flow and the Nocturnal Boundary Layer in Complex Terrain
 Publisher: American Meteorological Society
 Abstract: An enhanced National Center for Atmospheric Research (NCAR) integrated sounding system (ISS) was deployed as part of the Vertical Transport and Mixing (VTMX) field experiment, which took place in October of 2000. The ...
A Fully Implicit Scheme for the Barotropic Primitive Equations
 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 ...
A New Look at the Melting Layer
 Publisher: American Meteorological Society
 Abstract: The authors derive a relationship between the vertical Doppler spectrum of the rain just below the radar bright band and that of the snow just above. It neglects vertical air motions and assumes that each snowflake simply ...
Parallel Implementation of a Kalman Filter for Constituent Data Assimilation
 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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