An import issue for numerical weather prediction modes (NWP) is the time it takes to produce a valid forecast. One factor, which greatly influences this simulation time is the size of the time step. However, time step size is often limited by the numerical stability of the used advection schemes. Available schemes include semiimplicit Eulerian and semi-Lagrangian schemes. In principal, semi-Lagrangian formulations result in irregular communications on parallel architectures. In this paper we describe automatic code generation for a semi-implicit scheme with a semi-Lagrangian formulation. We describe how code can be generated from a mathematical specification of the advection model, the embedding of the formulations in the CTADEL code genera...
We introduce a new parallelizable numerical multiscale method for advection-dominated problems as th...
AbstractSemi-Lagrangian semi-implicit (SLSI) method is currently one of the most efficient approache...
Numerical weather forecasting and climate predictions require enormous computing power since high re...
The accuracy of atmospheric numerical models has steadily improved with increases in resolution. Thi...
A computational scheme suitable for numerical weather prediction and climate modelling over a wide r...
The semi-Lagrangian numerical method, in conjunction with semi-implicit time integration, provides n...
International audienceThis paper proposes a nonlinear horizontal diffusion scheme for models using s...
A parallel implementation of a method of the semi-Lagrangian type for the advection equation on a hy...
The cell-integrated semi-Lagrangian method, in which trajectories from the corner points of a grid c...
This thesis presents the new approaches to improve the performance of a weather forecast model. The...
For two formulations of currently usual numerical weather prediction models the evolution of maximum...
The aim of the thesis is to report a semi-Lagrangian semi-implicit regional forecast model in hydros...
This article presents computer-algebra based techniques for the automatic generation and maintenance...
An improved treatment of advection is essential for atmospheric transport and chemistry models. Eule...
The shallow water equations modeling flow on a sphere are useful for the development and testing of ...
We introduce a new parallelizable numerical multiscale method for advection-dominated problems as th...
AbstractSemi-Lagrangian semi-implicit (SLSI) method is currently one of the most efficient approache...
Numerical weather forecasting and climate predictions require enormous computing power since high re...
The accuracy of atmospheric numerical models has steadily improved with increases in resolution. Thi...
A computational scheme suitable for numerical weather prediction and climate modelling over a wide r...
The semi-Lagrangian numerical method, in conjunction with semi-implicit time integration, provides n...
International audienceThis paper proposes a nonlinear horizontal diffusion scheme for models using s...
A parallel implementation of a method of the semi-Lagrangian type for the advection equation on a hy...
The cell-integrated semi-Lagrangian method, in which trajectories from the corner points of a grid c...
This thesis presents the new approaches to improve the performance of a weather forecast model. The...
For two formulations of currently usual numerical weather prediction models the evolution of maximum...
The aim of the thesis is to report a semi-Lagrangian semi-implicit regional forecast model in hydros...
This article presents computer-algebra based techniques for the automatic generation and maintenance...
An improved treatment of advection is essential for atmospheric transport and chemistry models. Eule...
The shallow water equations modeling flow on a sphere are useful for the development and testing of ...
We introduce a new parallelizable numerical multiscale method for advection-dominated problems as th...
AbstractSemi-Lagrangian semi-implicit (SLSI) method is currently one of the most efficient approache...
Numerical weather forecasting and climate predictions require enormous computing power since high re...