Articles | Volume 25, issue 2
Nonlin. Processes Geophys., 25, 429–439, 2018
https://doi.org/10.5194/npg-25-429-2018

Special issue: Numerical modeling, predictability and data assimilation in...

Nonlin. Processes Geophys., 25, 429–439, 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 et al.

Viewed

Total article views: 1,712 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,057 543 112 1,712 102 114
  • HTML: 1,057
  • PDF: 543
  • XML: 112
  • Total: 1,712
  • BibTeX: 102
  • EndNote: 114
Views and downloads (calculated since 07 Feb 2018)
Cumulative views and downloads (calculated since 07 Feb 2018)

Viewed (geographical distribution)

Total article views: 1,526 (including HTML, PDF, and XML) Thereof 1,518 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Apr 2021
Download
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.