Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6932422 | Journal of Computational Physics | 2014 | 21 Pages |
Abstract
The success of the algorithms developed here suggests that they may be fruitfully applied to more realistic situations. They are expected to be particularly useful in providing accurate and efficient stochastic parameterizations for use in ensemble-based state estimation and prediction.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Ian Grooms, Andrew J. Majda,