Sensitivity of the Functionals of the Variational Data Assimilation Problem when Reconstructing the Initial State and Heat Flux for a Model of Sea Thermodynamics

IF 0.7 4区 数学 Q3 MATHEMATICS, APPLIED
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引用次数: 0

Abstract

The paper considers the problem of variational assimilation of observational data in order to reconstruct the initial state and heat fluxes for the mathematical model of sea thermodynamics developed at the Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences. The sensitivity of the functionals of the solution to the input data on the heat flux on the sea surface in the considered variational assimilation problem is studied, and the results of numerical experiments for the Black Sea dynamics model are presented.

为海洋热力学模型重建初始状态和热通量时变量数据同化问题函数的敏感性
摘要 本文探讨了为重建俄罗斯科学院马尔丘克数值数学研究所开发的海洋热力学数学模型的初始状态和热通量而对观测数据进行变异同化的问题。在所考虑的变分同化问题中,研究了解的函数对海面热通量输入数据的敏感性,并介绍了黑海动力学模型的数值实验结果。
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来源期刊
Computational Mathematics and Mathematical Physics
Computational Mathematics and Mathematical Physics MATHEMATICS, APPLIED-PHYSICS, MATHEMATICAL
CiteScore
1.50
自引率
14.30%
发文量
125
审稿时长
4-8 weeks
期刊介绍: Computational Mathematics and Mathematical Physics is a monthly journal published in collaboration with the Russian Academy of Sciences. The journal includes reviews and original papers on computational mathematics, computational methods of mathematical physics, informatics, and other mathematical sciences. The journal welcomes reviews and original articles from all countries in the English or Russian language.
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