An adaptive grid technique has been applied to a revised version of NCAR/NASA's next generation dynamical core for climate and weather research. This hydrostatic so-called Lin-Rood dynamics package is based on a conservative and monotonic finite volume discretization in flux form. The adaptive model design utilizes a spherical adaptive-grid library which is based on a cache-efficient block-structured data layout. The dynamical core is run in two configurations: the full 3D hydrostatic dynamical core on the sphere and the corresponding 2D shallow water model. This shallow water setup serves as an ideal testbed for the horizontal discretization and the 2D adaptive-mesh strategy. The static and dynamic adaptations are tested using a stand...
International audienceThis paper presents the new adaptive dynamical core wavetrisk. The fundamental...
This thesis demonstrates a new non-staggered-grid finite-volume method for dynamical cores in atmosp...
International audienceThis article presents the first dynamically adaptive wavelet method for the sh...
Adaptive Mesh Refinement (AMR) provides an attractive framework for atmospheric flows since it allow...
Adaptive Mesh Refinement (AMR) techniques offer a flexible framework for future variable-resolution ...
An adaptive grid dynamical core for a global atmospheric climate model has been developed. Adaptatio...
This thesis describes the adaptive shallow water model PLASMA-FEMmE. It solves on the sphere the sha...
In an effort to study the applicability of adaptive mesh refinement (AMR) techniques to atmospheric ...
A spherical 2D Adaptive Mesh Refinement (AMR) technique is applied to the so-called Lin-Rood advecti...
One of the most important advances needed in global climate models is the development of atmospheric...
Numerical weather forecasting and climate predictions require enormous computing power since high re...
Adaptive mesh refinement (AMR) is a technique that has been featured only sporadically in atmospheri...
As part of a broader effort to develop next-generation models for numerical weather prediction and ...
This thesis describes the adaptive shallow water model PLASMA-FEMmE. It solves on the sphere the sha...
This talk presents a dynamically adaptive wavelet method for the shallow water equations on the stag...
International audienceThis paper presents the new adaptive dynamical core wavetrisk. The fundamental...
This thesis demonstrates a new non-staggered-grid finite-volume method for dynamical cores in atmosp...
International audienceThis article presents the first dynamically adaptive wavelet method for the sh...
Adaptive Mesh Refinement (AMR) provides an attractive framework for atmospheric flows since it allow...
Adaptive Mesh Refinement (AMR) techniques offer a flexible framework for future variable-resolution ...
An adaptive grid dynamical core for a global atmospheric climate model has been developed. Adaptatio...
This thesis describes the adaptive shallow water model PLASMA-FEMmE. It solves on the sphere the sha...
In an effort to study the applicability of adaptive mesh refinement (AMR) techniques to atmospheric ...
A spherical 2D Adaptive Mesh Refinement (AMR) technique is applied to the so-called Lin-Rood advecti...
One of the most important advances needed in global climate models is the development of atmospheric...
Numerical weather forecasting and climate predictions require enormous computing power since high re...
Adaptive mesh refinement (AMR) is a technique that has been featured only sporadically in atmospheri...
As part of a broader effort to develop next-generation models for numerical weather prediction and ...
This thesis describes the adaptive shallow water model PLASMA-FEMmE. It solves on the sphere the sha...
This talk presents a dynamically adaptive wavelet method for the shallow water equations on the stag...
International audienceThis paper presents the new adaptive dynamical core wavetrisk. The fundamental...
This thesis demonstrates a new non-staggered-grid finite-volume method for dynamical cores in atmosp...
International audienceThis article presents the first dynamically adaptive wavelet method for the sh...