I present in this work the GHOST (Geoscientific Hollow Sphere Tessellation) software which allows for the fast generation of computational meshes in hollow sphere geometries counting up to 100 million cells. Each mesh is composed of concentric spherical shells which are built out of quadrilaterals or triangles. I focus here on three commonly used meshes used in geodynamics/geophysics and demonstrate the accuracy of shell surfaces and mesh volume measurements as a function of resolution. I further benchmark the built-in gravity and gravitational potential procedures in the simple case of a constant density geometry and finally show how the produced meshes can be used to visualise the S40RTS mantle tomography model. The code is open...
Geometric grids of the surface of the sphere, as used in Earth sciences. This repository contains f...
The Hamiltonian particle-mesh (HPM) method is generalized to the spherical shallow water equations, ...
A method for the surface reconstruction of 3D tubular branched structures characterized by low infor...
To run a 3D spherical simulation with a reasonable resolution in an appropriate time, the code mus...
Measurements and models of global geophysical parameters such as potential fields, seismic velocity ...
A method for incorporating multi-resolution capabilities within pre-existing global 3-D spherical ma...
Several alternative gravity forward modelling methodologies and associated numerical codes with thei...
A novel approach to the construction of three-dimensional grids in spherical geometries is described...
The Hamiltonian particle-mesh (HPM) method is used to \nsolve the Quasi-Geostrophic model generalize...
Computational models of mantle convection must accurately represent curved boundaries and the associ...
The numerical simulation of phenomena such as subsurface fluid flow or rock deformations are based o...
The commonly used representation of potential as a truncated series of spherical harmonics leads to ...
A new algorithm is presented for the solution of the shallow water equations on quasi-uniform sphe...
JIGSAW-GEO is an algorithm for the generation of non-uniform, locally-orthogonal, staggered unstruct...
Bayesian methods, powered by Markov Chain Monte Carlo estimates of posterior densities, have become ...
Geometric grids of the surface of the sphere, as used in Earth sciences. This repository contains f...
The Hamiltonian particle-mesh (HPM) method is generalized to the spherical shallow water equations, ...
A method for the surface reconstruction of 3D tubular branched structures characterized by low infor...
To run a 3D spherical simulation with a reasonable resolution in an appropriate time, the code mus...
Measurements and models of global geophysical parameters such as potential fields, seismic velocity ...
A method for incorporating multi-resolution capabilities within pre-existing global 3-D spherical ma...
Several alternative gravity forward modelling methodologies and associated numerical codes with thei...
A novel approach to the construction of three-dimensional grids in spherical geometries is described...
The Hamiltonian particle-mesh (HPM) method is used to \nsolve the Quasi-Geostrophic model generalize...
Computational models of mantle convection must accurately represent curved boundaries and the associ...
The numerical simulation of phenomena such as subsurface fluid flow or rock deformations are based o...
The commonly used representation of potential as a truncated series of spherical harmonics leads to ...
A new algorithm is presented for the solution of the shallow water equations on quasi-uniform sphe...
JIGSAW-GEO is an algorithm for the generation of non-uniform, locally-orthogonal, staggered unstruct...
Bayesian methods, powered by Markov Chain Monte Carlo estimates of posterior densities, have become ...
Geometric grids of the surface of the sphere, as used in Earth sciences. This repository contains f...
The Hamiltonian particle-mesh (HPM) method is generalized to the spherical shallow water equations, ...
A method for the surface reconstruction of 3D tubular branched structures characterized by low infor...