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

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Latest update: 24 May 2024
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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.