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

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

doi:https://doi.org/10.5194/npg-25-429-2018

Articles | Volume 25, issue 2

https://doi.org/10.5194/npg-25-429-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Numerical modeling, predictability and data assimilation in...

https://doi.org/10.5194/npg-25-429-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 2

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

Data sets

Baltic Sea daily-averaged surface-temperature data Copernicus Marine Environment Monitoring Service http://marine.copernicus.eu/services-portfolio/access-to-products/

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.