The Hamiltonian particle-mesh (HPM) method is used to solve the Quasi-Geostrophic model generalized to a sphere, us-ing the Spherepack modeling package to solve the Helmholtz equation on a colatitude-longitude grid with spherical harmon-ics. The predicted energy conservation of a Poisson system is shown to be approximately retained and statistical mean-field theory is verified. Acknowledgements I would like to start with thanking my supervisor Jason Frank for introducing me to the perfect cocktail of numerics, statistics and computational fluid dynamics. His guidance, inspiration and enthusiasm made this thesis work possible. Special thanks are due to Keith for his company as well as constructive comments and suggestions throughout the whol...
We develop a hydrostatic Hamiltonian particle-mesh (HPM) method for efficient long-term numerical in...
International audienceThis paper presents developments of the Harniltonian Approach to problems of f...
A family of spin-lattice models are derived as convergent finite dimensional approximations to the r...
The Hamiltonian particle-mesh (HPM) method is used to \nsolve the Quasi-Geostrophic model generalize...
The Hamiltonian particle-mesh (HPM) method is generalized to the spherical shallow water equations, ...
The Hamiltonian particle-mesh (HPM) method is generalized to the spherical shallow water equations, ...
textabstractThe Hamiltonian particle-mesh (HPM) method is generalized to the spherical shallow water...
The Hamiltonian particle-mesh (HPM) method is generalized to the spherical shallow-water equations, ...
We conduct long-time simulations with a Hamiltonian particle-mesh method for ideal fluid flow, to de...
We conduct long-time simulations with a Hamiltonian particle-mesh method for ideal fluid flow, to de...
We conduct long-time simulations with a Hamiltonian particle-mesh method for ideal fluid flow, to de...
htmlabstractWe conduct long-time simulations with a Hamiltonian particle-mesh method for ideal fluid...
We conduct long simulations with a Hamiltonian particle-mesh method for ideal fluid flow, to determi...
In this paper we outline several new particle-mesh methods that conserve potential vorticity (PV) in...
htmlabstractWe develop a hydrostatic Hamiltonian particle-mesh (HPM) method for efficient long-term ...
We develop a hydrostatic Hamiltonian particle-mesh (HPM) method for efficient long-term numerical in...
International audienceThis paper presents developments of the Harniltonian Approach to problems of f...
A family of spin-lattice models are derived as convergent finite dimensional approximations to the r...
The Hamiltonian particle-mesh (HPM) method is used to \nsolve the Quasi-Geostrophic model generalize...
The Hamiltonian particle-mesh (HPM) method is generalized to the spherical shallow water equations, ...
The Hamiltonian particle-mesh (HPM) method is generalized to the spherical shallow water equations, ...
textabstractThe Hamiltonian particle-mesh (HPM) method is generalized to the spherical shallow water...
The Hamiltonian particle-mesh (HPM) method is generalized to the spherical shallow-water equations, ...
We conduct long-time simulations with a Hamiltonian particle-mesh method for ideal fluid flow, to de...
We conduct long-time simulations with a Hamiltonian particle-mesh method for ideal fluid flow, to de...
We conduct long-time simulations with a Hamiltonian particle-mesh method for ideal fluid flow, to de...
htmlabstractWe conduct long-time simulations with a Hamiltonian particle-mesh method for ideal fluid...
We conduct long simulations with a Hamiltonian particle-mesh method for ideal fluid flow, to determi...
In this paper we outline several new particle-mesh methods that conserve potential vorticity (PV) in...
htmlabstractWe develop a hydrostatic Hamiltonian particle-mesh (HPM) method for efficient long-term ...
We develop a hydrostatic Hamiltonian particle-mesh (HPM) method for efficient long-term numerical in...
International audienceThis paper presents developments of the Harniltonian Approach to problems of f...
A family of spin-lattice models are derived as convergent finite dimensional approximations to the r...