Variational Data Assimilation for the Sea Thermodynamics Model and Sensitivity of Marine Characteristics to Observation Errors

被引：0

作者：

Shutyaev, V. P. ^{[1
]}

Parmuzin, E. I. ^{[1
]}

机构：

[1] Russian Acad Sci, Marchuk Inst Numer Math, Moscow 119333, Russia

来源：

IZVESTIYA ATMOSPHERIC AND OCEANIC PHYSICS | 2023年 / 59卷 / 06期

基金：

俄罗斯科学基金会;

关键词：

variational data assimilation; optimal control; adjoint equation; covariance matrix; sensitivity; sea thermodynamics model; BLACK-SEA; OCEAN CIRCULATION; TEMPERATURE; COVARIANCES; FUNCTIONALS; ALGORITHM; EQUATIONS;

D O I：

10.1134/S0001433823060099

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

The methodology of variational assimilation of observational data for the reconstruction of the initial state and heat fluxes for the mathematical model of sea thermodynamics is presented. An algorithm is developed for estimating the sensitivity of a model solution to errors in observational data. The calculation of the gradient of the response function of the model solution is based on the use of the Hessian of the cost functional. The results of numerical experiments for the Black Sea dynamics model developed at the Institute of Numerical Mathematics, Russian Academy of Sciences, are presented.

引用

页码：722 / 730

页数：9

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