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Федеральное государственное бюджетное учреждение науки Федеральный исследовательский центр
«Морской гидрофизический институт РАН» Научно-техническая библиотека
Результаты научной деятельности сотрудников ФГБУН ФИЦ МГИ
Numerical Implementation of a Modified Variational Algorithm for Assimilation of Measurement Data in a Passive Admixture Transport Model id статьи: 2490
Тип публикации
Язык
En
Журнал
Springer Geology
ISSN:21979545
ISSN:21979545
Год
2023
Выходные данные
том
выпуск
страницы
157 - 163
EDN
Абстракт
The article implements a modified variational algorithm for assimilation of measurement data in a model of passive impurity transfer for the Sea of Azov. The search for the initial concentration field is performed iteratively by minimizing the prediction quality functional that characterizes the deviation of model estimates from measurement data. At the same time, an evaluation method is used that allows obtaining appropriate estimates of solutions. This problem is also solved using a standard variational procedure based on solving conjugate problems and iterative minimization of the functional. The results obtained are compared with each other. Numerical experiments have shown the advantage of the modified algorithm under certain conditions. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Ключевые слова
Adjoint problem, Assimilation, Modified variational algorithm, Sea of Azov
Дата занесения
2023-01-27 12:19:02 (квартал- IV)