Software for estimating sparse Jacobian matrices
ACM Transactions on Mathematical Software (TOMS)
Algorithm 618: FORTRAN subroutines for estimating sparse Jacobian Matrices
ACM Transactions on Mathematical Software (TOMS)
Matrix Renumbering ILU: An Effective Algebraic Multilevel ILU Preconditioner for Sparse Matrices
SIAM Journal on Matrix Analysis and Applications
A fully implicit model of the three-dimensional thermohaline ocean circulation: 685
Journal of Computational Physics
A three-dimensional spectral element model for the solution of the hydrostatic primitive equations
Journal of Computational Physics
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
A fully-implicit model of the global ocean circulation
Journal of Computational Physics
Jacobian-free Newton-Krylov methods: a survey of approaches and applications
Journal of Computational Physics
A tailored solver for bifurcation analysis of ocean-climate models
Journal of Computational Physics
A modern solver interface to manage solution algorithms in the Community Earth System Model
International Journal of High Performance Computing Applications
Journal of Computational Physics
Hi-index | 31.45 |
In present-day forward time stepping ocean-climate models, capturing both the wind-driven and thermohaline components, a substantial amount of CPU time is needed in a so-called spin-up simulation to determine an equilibrium solution. In this paper, we present methodology based on Jacobian-Free Newton-Krylov methods to reduce the computational time for such a spin-up problem. We apply the method to an idealized configuration of a state-of-the-art ocean model, the Modular Ocean Model version 4 (MOM4). It is shown that a typical speed-up of a factor 10-25 with respect to the original MOM4 code can be achieved and that this speed-up increases with increasing horizontal resolution.