Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 23, issue 2
Articles | Volume 23, issue 2
https://doi.org/10.5194/npg-23-59-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-23-59-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 23, issue 2
Research article
 | 
11 Mar 2016
Research article |  | 11 Mar 2016

Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method

J. Mandel, E. Bergou, S. Gürol, S. Gratton, and I. Kasanický

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Short summary
A stochastic method, the ensemble Kalman smoother (EnKS), is proposed as a linear solver in four-dimensional variational data assimilation (4DVAR). The method approaches 4DVAR for large ensembles. Regularization provides global convergence, and it is implemented as an additional artificial observation. Since the EnKS is uncoupled from the insides of the 4DVAR, any version of EnKS can be used.
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