Quasi-static ensemble variational data assimilation: a theoretical and numerical study with the iterative ensemble Kalman smoother

The analysis in nonlinear variational data assimilation is the solution of a non-quadratic minimization. Thus, the analysis efficiency relies on its ability to locate a global minimum of the cost function. If this minimization uses a Gauss–Newton (GN) method, it is critical for the starting point...

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Bibliographic Details
Main Authors: A. Fillion, M. Bocquet, S. Gratton
Format: Article
Language:English
Published: Copernicus Publications 2018-04-01
Series:Nonlinear Processes in Geophysics
Online Access:https://www.nonlin-processes-geophys.net/25/315/2018/npg-25-315-2018.pdf