Sensitivity of Functionals to Observation Data in a Variational Assimilation Problem for a Sea Thermodynamics Model  id статьи: 135
Тип публикации
статья в журнале
Журнал
Numerical Analysis and Applications
ISSN:1995-4239
eSSN:1995-4247
Выходные данные
том
12
выпуск
2
страницы
191-201
Абстракт
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 sea surface temperature data is studied with allowance for observational error covariance matrices. Based on variational assimilation of satellite observation data, an inverse problem of restoring the heat flux on the sea surface is solved. The sensitivity of some functionals to observation data in the variational assimilation problem is investigated, and the results of numerical experiments with the model applied to Baltic Sea dynamics are presented.
Ключевые слова
VARIATIONAL DATA ASSIMILATION, OPTIMAL CONTROL, ADJOINT EQUATIONS, COVARIANCE MATRICES, SENSITIVITY OF FUNCTIONALS, SEA SURFACE TEMPERATURE
Дата занесения
2019-12-12 15:49:00