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: 3,940 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,849 963 128 3,940 134 130
  • HTML: 2,849
  • PDF: 963
  • XML: 128
  • Total: 3,940
  • BibTeX: 134
  • EndNote: 130
Views and downloads (calculated since 06 Apr 2018)
Cumulative views and downloads (calculated since 06 Apr 2018)

Viewed (geographical distribution)

Total article views: 3,940 (including HTML, PDF, and XML) Thereof 3,405 with geography defined and 535 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Apr 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