NDLI: Interactive comment on “ Quasi static ensemble variational data assimilation ” by Anthony Fillion et al

Content Provider	Semantic Scholar
Author	Fillion, Anthony
Copyright Year	2017
Abstract	The authors have performed a thorough study of the applicability of Quasi-Static (QS) variational data assimilation schemes on an ensemble Kalman smoother (EnKS), leading to the iterative ensemble Kalman smoother (IEnKS). The QS algorithm has been shown to be crucial by Pires et al. (1996) in 4DVar DA on nonlinear chaotic models. That procedure keeps the analysis error within the region of validity of the linear tangent approach, which nearly corresponds to the cost-function attraction basin including the true model state.
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Alternate Webpage(s)	https://www.nonlin-processes-geophys-discuss.net/npg-2017-65/npg-2017-65-AC1.pdf
Alternate Webpage(s)	https://www.nonlin-processes-geophys-discuss.net/npg-2017-65/npg-2017-65-RC1-print.pdf
Alternate Webpage(s)	https://www.nonlin-processes-geophys-discuss.net/npg-2017-65/npg-2017-65-RC2.pdf
Alternate Webpage(s)	https://www.nonlin-processes-geophys-discuss.net/npg-2017-65/npg-2017-65-AC2.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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