Variational assimilation of mean daily observation data for the problem of sea hydrothermodynamics. (English) Zbl 1368.49025
Summary: The mathematical model of hydrothermodynamics of the Baltic Sea is considered with the pole moved to a neighborhood of St. Petersburg in order to improve the horizontal resolution in the Gulf of Finland. The problem of variational assimilation of mean daily data for Sea Surface Temperature (SST) is formulated and studied for the given type of calculation grid of this model. A new algorithm of solution of the inverse problem for reconstruction of the heat flux on the interface of two media is proposed on the base of variational assimilation of satellite observation data. Results of numerical experiments are presented for reconstruction of heat fluxes in the problem of variational assimilation of mean daily observations of SST data.
MSC:
| 49K20 | Optimality conditions for problems involving partial differential equations |
| 65K10 | Numerical optimization and variational techniques |
Keywords:
variational assimilation; numerical algorithm; determination of heat fluxes; sea surface temperatureReferences:
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