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This article is cited in 6 scientific papers (total in 6 papers)
Sensitivity of functionals to observation data in a variational assimilation problem for the sea thermodynamics model
V. P. Shutyaevab, E. I. Parmuzina a Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences,
ul. Gubkina 8, Moscow, 119333 Russia
b Marine Hydrophysical Institute, Russian Academy of Sciences,
ul. Kapitanskaya 2, Sevastopol, 299011 Russia
Abstract:
For the mathematical model of the sea thermodynamics, developed in the Institute of Numerical Mathematics of the Russian Academy of Sciences, the problem of variational assimilation of the sea surface temperature data is considered, with allowance for the observation data error covariance matrices. Based on the variational assimilation of satellite observation data, the inverse problem of restoring a heat flux on the sea surface is solved. The sensitivity of functionals with respect to observation data in a problem of variational assimilation is studied, and the results of numerical experiments for the model of the Baltic Sea dynamics are presented.
Key words:
variational data assimilation, optimal control, adjoint equations, covariance matrices, sensitivity of functionals, sea surface temperature.
Received: 25.04.2018 Revised: 20.06.2018 Accepted: 21.01.2019
Citation:
V. P. Shutyaev, E. I. Parmuzin, “Sensitivity of functionals to observation data in a variational assimilation problem for the sea thermodynamics model”, Sib. Zh. Vychisl. Mat., 22:2 (2019), 229–242; Num. Anal. Appl., 12:2 (2019), 191–201
Linking options:
https://www.mathnet.ru/eng/sjvm712 https://www.mathnet.ru/eng/sjvm/v22/i2/p229
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