Adaptive meshes have the potential to improve the accuracy and efficiency of atmospheric modelling by increasing resolution where it is most needed. Mesh re-distribution, or r-adaptivity, adapts by moving the mesh without changing the connectivity. This avoids some of the challenges with h-adaptivity (adding and removing points): the solution does not need to be mapped between meshes, which can be expensive and introduces errors, and there are no load balancing problems on parallel computers. A long standing problem with both forms of adaptivity has been changes in volume of the domain as resolution changes at an uneven boundary. We propose a solution which achieves exact local conservation and maintains a uniform scalar field while the mes...
The shallow water equations are solved using a mesh of polygons on the sphere, which adapts infreque...
In an effort to study the applicability of adaptive mesh refinement (AMR) techniques to atmospheric ...
Geophysical flows cover an enormous range of spatial and temporal scales. For instance, flows in the...
This article investigates the potential for an r-adaptation algorithm to improve the efficiency of s...
The simulation of time-dependent physical problems, such as flows of some kind, places high demands ...
One of the most important advances needed in global climate models is the development of atmospheric...
The paper advances the limited-area anelastic model (Smolarkiewicz et al. (2013) [45]) for investiga...
Numerical models solved on adaptive moving meshes have become increasingly prevalent in recent years...
In the context of numerical solution of PDEs, dynamic mesh redistribution methods (r-adaptive method...
International audienceThis article investigates the potential for an r-adaptation algorithm to impro...
: Increasing the mesh resolution is one the most important tools for increasing the accuracy of num...
This article describes a 2D and 3D adaptive and mass conservingsemi-Lagrangian advection scheme for ...
The model error in climate models depends on mesh resolution among other factors. While global refin...
It is well known that the representation of certain atmospheric conditions in climate and weather mo...
In the first part of this talk, I discuss the generation of meshes adapted to a prescribed scalar 'm...
The shallow water equations are solved using a mesh of polygons on the sphere, which adapts infreque...
In an effort to study the applicability of adaptive mesh refinement (AMR) techniques to atmospheric ...
Geophysical flows cover an enormous range of spatial and temporal scales. For instance, flows in the...
This article investigates the potential for an r-adaptation algorithm to improve the efficiency of s...
The simulation of time-dependent physical problems, such as flows of some kind, places high demands ...
One of the most important advances needed in global climate models is the development of atmospheric...
The paper advances the limited-area anelastic model (Smolarkiewicz et al. (2013) [45]) for investiga...
Numerical models solved on adaptive moving meshes have become increasingly prevalent in recent years...
In the context of numerical solution of PDEs, dynamic mesh redistribution methods (r-adaptive method...
International audienceThis article investigates the potential for an r-adaptation algorithm to impro...
: Increasing the mesh resolution is one the most important tools for increasing the accuracy of num...
This article describes a 2D and 3D adaptive and mass conservingsemi-Lagrangian advection scheme for ...
The model error in climate models depends on mesh resolution among other factors. While global refin...
It is well known that the representation of certain atmospheric conditions in climate and weather mo...
In the first part of this talk, I discuss the generation of meshes adapted to a prescribed scalar 'm...
The shallow water equations are solved using a mesh of polygons on the sphere, which adapts infreque...
In an effort to study the applicability of adaptive mesh refinement (AMR) techniques to atmospheric ...
Geophysical flows cover an enormous range of spatial and temporal scales. For instance, flows in the...