статья в журнале

En

Numerical Analysis and Applications

ISSN:1995-4239
eSSN:1995-4247

2018

Parmuzin, E.I.¹

10.1134/S1995423918020088

A mathematical model of sea thermodynamics developed at the Institute of Numerical Mathematics of the Russian Academy of Sciences is considered. A problem of variational assimilation of daily-averaged sea surface temperature (SST) data with observational error covariance matrices is formulated and investigated. On the basis of variational assimilation of satellite observation data, an inverse problem of restoring the heat flux on the sea surface is solved. The stability of the optimal solution to the problem of variational data assimilation is studied, and the results of numerical experiments with the model for Baltic Sea dynamics are presented.

VARIATIONAL DATA ASSIMILATION, OPTIMAL CONTROL, ADJOINT EQUATIONS, COVARIANCE MATRICES, STABILITY WITH RESPECT TO ERRORS, SEA SURFACE TEMPERATURE

2018-12-12 15:49:00