Абстракт
The paper implements a variational algorithm for assimilation of measurement data in a passive admixture transport model for the Black Sea. The identification for the initial concentration field is carried out iteratively by minimizing the prediction cost function. Information on the concentration of Cs137 in the Black Sea after the Chernobyl accident was used as measurement data. The results obtained are in good agreement with the data on the intensity of radioactive precipitation over the sea area.
Ключевые слова
Adjoint problem, Assimilation, Black sea, Chernobyl accident, Variational algorithm