This paper considers stratified and shallow water non-Hamiltonian potential-vorticity-based balanced models (PBMs). These are constructed using the exact (Rossby or Rossby-Ertel) potential vorticity (PV). The most accurate known PBMs are those studied by McIntyre and Norton and by Mohebalhojeh and Dritschel. It is proved that, despite their astonishing accuracy, these PBMs all fail to conserve mass locally. Specifically, they exhibit velocity splitting in the sense of having two velocity fields, v and v(m), the first to advect PV and the second to advect mass. The difference v - v(m) is nonzero in general, even if tiny. Unlike the different velocity splitting found in all Hamiltonian balanced models, the present splitting can be healed. The...
AbstractWe propose a way to construct robust numerical schemes for the computations of numerical sol...
The physical characteristics of mesoscale are analyzed, and results show that the unbalanced forced ...
This paper introduces a novel, powerful way to understand the why geophysical flows are largely unde...
This paper considers stratified and shallow water non-Hamiltonian potential-vorticity-based balanced...
2Abstract: This paper considers stratified and shallow water non-Hamiltonian potential-vorticity-bas...
The effects of enforcing local mass conservation on the accuracy of non-Hamiltonian potential-vortic...
An approximate model for small Rossby number ϵ that is close to the balance equations (BE) but that ...
A method to decompose geophysical flows into a balanced flow (defined by its potential vorticity, PV...
Recent analyses have argued that energy enters the mesoscale, balanced flow at a rate of roughly 1 T...
10 pages, 6 figuresA method to decompose geophysical flows into a balanced flow (defined by its pote...
Over the last decade, the development of high resolution well-balanced schemes was a central topic i...
Abstract. We consider the Saint-Venant system for shallow water flows, with nonflat bottom. It is a ...
Many physical systems exhibit dynamics with vastly different time scales. Often the different motion...
Optimal balance is a near-optimal computational algorithm for nonlinear mode decomposition of geophy...
Optimal balance is a near-optimal computational algorithm for nonlinear mode decomposition of geophy...
AbstractWe propose a way to construct robust numerical schemes for the computations of numerical sol...
The physical characteristics of mesoscale are analyzed, and results show that the unbalanced forced ...
This paper introduces a novel, powerful way to understand the why geophysical flows are largely unde...
This paper considers stratified and shallow water non-Hamiltonian potential-vorticity-based balanced...
2Abstract: This paper considers stratified and shallow water non-Hamiltonian potential-vorticity-bas...
The effects of enforcing local mass conservation on the accuracy of non-Hamiltonian potential-vortic...
An approximate model for small Rossby number ϵ that is close to the balance equations (BE) but that ...
A method to decompose geophysical flows into a balanced flow (defined by its potential vorticity, PV...
Recent analyses have argued that energy enters the mesoscale, balanced flow at a rate of roughly 1 T...
10 pages, 6 figuresA method to decompose geophysical flows into a balanced flow (defined by its pote...
Over the last decade, the development of high resolution well-balanced schemes was a central topic i...
Abstract. We consider the Saint-Venant system for shallow water flows, with nonflat bottom. It is a ...
Many physical systems exhibit dynamics with vastly different time scales. Often the different motion...
Optimal balance is a near-optimal computational algorithm for nonlinear mode decomposition of geophy...
Optimal balance is a near-optimal computational algorithm for nonlinear mode decomposition of geophy...
AbstractWe propose a way to construct robust numerical schemes for the computations of numerical sol...
The physical characteristics of mesoscale are analyzed, and results show that the unbalanced forced ...
This paper introduces a novel, powerful way to understand the why geophysical flows are largely unde...