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A posteriori error covariances in variational data assimilation.
- Source :
- Russian Journal of Numerical Analysis & Mathematical Modelling; 2009, Vol. 24 Issue 2, p161-169, 9p
- Publication Year :
- 2009
-
Abstract
- The problem of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to find some unknown parameters of the model. The equation for the error of the optimal solution is derived through the statistical errors of the input data (background, observation, and model errors). A numerical algorithm is developed to construct an a posteriori covariance operator of the analysis error using the Hessian of an auxiliary optimal control problem based on the tangent linear model constraints. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09276467
- Volume :
- 24
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Russian Journal of Numerical Analysis & Mathematical Modelling
- Publication Type :
- Academic Journal
- Accession number :
- 47101909
- Full Text :
- https://doi.org/10.1515/RJNAMM.2009.011