Articles | Volume 25, issue 3
https://doi.org/10.5194/npg-25-713-2018
https://doi.org/10.5194/npg-25-713-2018
Research article
 | 
19 Sep 2018
Research article |  | 19 Sep 2018

Nonlinear effects in 4D-Var

Massimo Bonavita, Peter Lean, and Elias Holm

Viewed

Total article views: 4,018 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,899 989 130 4,018 144 136
  • HTML: 2,899
  • PDF: 989
  • XML: 130
  • Total: 4,018
  • BibTeX: 144
  • EndNote: 136
Views and downloads (calculated since 06 Apr 2018)
Cumulative views and downloads (calculated since 06 Apr 2018)

Viewed (geographical distribution)

Total article views: 4,018 (including HTML, PDF, and XML) Thereof 3,479 with geography defined and 539 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Jun 2025
Download
Short summary
This paper deals with the effects of nonlinearity in a state-of-the-art atmospheric global data assimilation system. It is shown that these effects have become increasingly important over the years due to increased model resolution and use of nonlinear observations. The ability to deal with nonlinearities has thus become a crucial asset of data assimilation algorithms. At ECMWF this is done in a perturbative fashion. Advantages and limitations of this technique are discussed.
Share