Recent developments in optimization methods for data assimilation in oceanography
(2012)
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Details
- Authors
- Supervisors
- Sartenaer, Annick
- Abstract
- (en) This work is concerned with the development and the study of novel optimization algorithms for solving data assimilation problems with application in oceanography. Motivated by the theoretical equivalence between the SEEK filter and a reduced variant of the 4D-Var problem, two innovative minimization methods for the variational approach are proposed. The first one derives an appropriate starting point and a limited-memory preconditioner to accelerate the conjugate gradient-like algorithm used in the incremental method. The second one proposes a derivative-free approach which minimizes the 4D-Var function by constructing and exploring a sequence of appropriate low dimensional subspaces. Both methods have been numerically analyzed on academical shallow water models before being assessed on the GYRE configuration of the NEMO framework.
- Affiliations
Unamur Ecole doctorale en sciences
Citations
Laloyaux, P. (2012). Recent developments in optimization methods for data assimilation in oceanography. https://hdl.handle.net/2078.5/212265