Sensitivity of Functionals to Observation Data in a Variational Assimilation Problem for a Sea Thermodynamics Model

被引：0

作者：

V. P. Shutyaev

E. I. Parmuzin

机构：

[1] Russian Academy of Sciences,Marchuk Institute of Numerical Mathematics

[2] Russian Academy of Sciences,Marine Hydrophysical Institute

来源：

Numerical Analysis and Applications | 2019年 / 12卷

关键词：

variational data assimilation; optimal control; adjoint equations; covariance matrices; sensitivity of functionals; sea surface temperature;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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.

引用

页码：191 / 201

页数：10

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