| HAL-Inria | Publications, software ... of Inria's scientists |
Journal articles
Reduced-order 4D-Var: a preconditioner for the Incremental 4D-Var data assimilation method
Abstract : This study demonstrates how the incremental 4D-Var data assimilation method can be applied efficiently preconditione d in an application to an oceanographic problem. The approach consists in performing a few iterations of the reduced-order 4D-Var prior to the incremental 4D-Var in the full space in order to achieve faster convergence. An application performed in the tropical Pacific Ocean, with assimilation of TAO temperature data, shows the method to be both feasible and efficient. It allows the global cost of the assimilation to be reduced by a factor of 2 without affecting the quality of the solution.
Cited literature [12 references]
https://hal.inria.fr/hal-00172926
Contributor : Céline Acary-Robert <>
Submitted on : Tuesday, September 18, 2007 - 2:34:03 PM
Last modification on : Wednesday, July 22, 2020 - 11:30:05 AM
Long-term archiving on: : Friday, April 9, 2010 - 2:23:00 AM
Contributor : Céline Acary-Robert <>
Submitted on : Tuesday, September 18, 2007 - 2:34:03 PM
Last modification on : Wednesday, July 22, 2020 - 11:30:05 AM
Long-term archiving on: : Friday, April 9, 2010 - 2:23:00 AM
Files
Robert-GRL.pdf
Files produced by the author(s)