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: 3,530 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,546 878 106 3,530 113 107
  • HTML: 2,546
  • PDF: 878
  • XML: 106
  • Total: 3,530
  • BibTeX: 113
  • EndNote: 107
Views and downloads (calculated since 06 Apr 2018)
Cumulative views and downloads (calculated since 06 Apr 2018)

Viewed (geographical distribution)

Total article views: 3,530 (including HTML, PDF, and XML) Thereof 3,027 with geography defined and 503 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Apr 2024
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.