Skip to Main content Skip to Navigation
Journal articles

Determination of optimal nudging coefficients

Abstract : A four-dimensional variational assimilation (4D-Var) scheme is now widely used by meteorological centres in a operational way. However, most of these applications do not take account of model error.Indeed, the classical 4D-Var with imperfect model formulation is unaffordable for current computational means. This paper presents a low-cost method for dealing with model errors in 4D variational assimilation. This method can be formally compared to a Kalman filter. This new scheme is tested on two configurations: first on a Burger equation, which allows one to calibrate the method, and second on a more relevant shallow-water equations model, both in a twin experiment framework. It is shown that, compared to classical 4D-Var results, this method provides a noticeable improvement.
Document type :
Journal articles
Complete list of metadata

Cited literature [28 references]  Display  Hide  Download

https://hal.inria.fr/inria-00325360
Contributor : Arthur Vidard Connect in order to contact the contributor
Submitted on : Monday, September 29, 2008 - 9:53:01 AM
Last modification on : Wednesday, July 28, 2021 - 3:56:55 AM
Long-term archiving on: : Thursday, June 3, 2010 - 8:11:58 PM

File

vilepi2003AR.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Arthur Vidard, François-Xavier Le Dimet, Andrea Piacentini. Determination of optimal nudging coefficients. Tellus A, Co-Action Publishing, 2003, 55 (1), pp.1--15. ⟨10.3402/tellusa.v55i1.14576⟩. ⟨inria-00325360⟩

Share

Metrics

Record views

97

Files downloads

464