Abstract
The problem of variational observation data assimilation is considered for the mathematical thermodynamics model developed at the Marchuk Institute of Numerical Mathematics of RAS with the aim to reconstruct the sea surface heat flux. The sensitivity of functionals of solutions to observation data is studied for the considered variational assimilation problem and the results of numerical experiments for the Black Sea dynamics problem are presented.
Funding statement: The work was supported by the Russian Science Foundation (project 20–11–20057, studies in Sections 1 and 2) and by the Moscow Center for Fundamental and Applied Mathematics (agreement with the Ministry of Education and Science of the Russian Federation, No. 075–15–2022–286).
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Articles in the same Issue
- Contents
- Stochastic perturbation of tendencies and parameters of parameterizations in the global ensemble prediction system based on the SL-AV model
- INM-IM: INM RAS Earth ionosphere F region dynamical model
- Estimation of the average particle flux in a stochastically homogeneous medium by Monte Carlo method
- Sensitivity of functionals of the solution to a variational data assimilation problem with heat flux reconstruction for the sea thermodynamics model
Articles in the same Issue
- Contents
- Stochastic perturbation of tendencies and parameters of parameterizations in the global ensemble prediction system based on the SL-AV model
- INM-IM: INM RAS Earth ionosphere F region dynamical model
- Estimation of the average particle flux in a stochastically homogeneous medium by Monte Carlo method
- Sensitivity of functionals of the solution to a variational data assimilation problem with heat flux reconstruction for the sea thermodynamics model