Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4967171 | Journal of Computational Physics | 2017 | 25 Pages |
Abstract
The resulting error estimator is evaluated experimentally in two classical ocean-type experiments, the Munk gyre and the flow around an island. In these experiments, the stochastic process is adapted locally to the respective dynamical flow regime. Our stochastic dual-weighted error estimator is shown to provide meaningful error bounds for a range of physically relevant goals. We prove, as well as show numerically, that our approach can be interpreted as a linearized stochastic-physics ensemble.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Jan Ackmann, Jochem Marotzke, Peter Korn,