Abstract: Computational dispersion properties of centered-difference schemes, in terms of frequency and group velocity components, are examined for an anelastic system using a variety of candidates for practically meaningful staggered ...

Abstract: The computational dispersion properties of vertically and time-vertically staggered grids, using corresponding centered-difference schemes for approximation of a linear baroclinic primitive equation system, are analyzed ...

Abstract: A new diabatic dynamic initialization technique using an iterative time filter has been developed for an intermittent global data assimilation system. The diabatic dynamic initialization procedure has been implemented ...

Abstract: The computational dispersion properties of horizontally and time-horizontally staggered grids using corresponding centered-difference schemes for approximation of the Adjustment, or gravity wave equation, are analyzed in ...

Abstract: A generalized dynamical adjustment procedure has been applied to a diabatic model to produce balanced initial conditions. Namely, backward adiabatic model integration is followed by forward diabatic model integration, with ...

Abstract: The onset and evolution of the North American monsoon system during the summer of 1993 were examined from regional to large scales using the National Aeronautics and Space Administration (NASA) Goddard Earth Observing ...

Abstract: Simple numerical experiments are performed in order to determine the effects of inconsistent combinations of horizontal and vertical resolution in both atmospheric models and observing systems. In both cases, we find that ...

Abstract: This reply is aimed at clarifying and further discussing the methodological aspects of this neural network application for a better understanding of the technique by the journal readership. The similarities and differences ...

Abstract: A new approach based on a synergetic combination of statistical/machine learning and deterministic modeling within atmospheric models is presented. The approach uses neural networks as a statistical or machine learning ...

Abstract: An approach to calculating model physics using neural network emulations, previously proposed and developed by the authors, has been implemented in this study for both longwave and shortwave radiation parameterizations, ...