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

机译:函数对海洋热力学模型变分同化问题中观测数据的敏感性

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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.
机译:考虑了在俄罗斯科学院数学研究所开发的海热力学的数学模型。 研究了海面温度数据的变分同化的问题,具有观察误差协方差矩阵的津贴。 基于卫星观察数据的变分同化,解决了恢复海面上的热通量的逆问题。 研究了一些功能对变分同化问题中的观察数据的敏感性,并提出了应用于波罗的海动力学的模型的数值实验结果。

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