Articles | Volume 25, issue 2
https://doi.org/10.5194/npg-25-429-2018
https://doi.org/10.5194/npg-25-429-2018
Research article
 | 
21 Jun 2018
Research article |  | 21 Jun 2018

Sensitivity analysis with respect to observations in variational data assimilation for parameter estimation

Victor Shutyaev, Francois-Xavier Le Dimet, and Eugene Parmuzin

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Latest update: 14 Dec 2024
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Short summary
The problem of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to find unknown parameters of the model. The observation data, and hence the optimal solution, may contain uncertainties. A response function is considered as a functional of the optimal solution after assimilation. The sensitivity of the response function to the observation data is studied. The results are relevant for monitoring and prediction of sea and ocean states.