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Numerical Realization of Hybrid Data Assimilation Algorithm in Ensemble Experiments on Cluster Systemsстатья
- Авторы: Belyaev K., Kirchner I., Salnikov A., Tuchkova N.
- Сборник: Параллельные вычислительные технологии – XI международная конференция, ПаВТ'2017, г. Казань, 3–7 апреля 2017
- Год издания: 2017
- Место издания: Издательский центр ЮУрГУ Челябинск
- Первая страница: 23
- Последняя страница: 35
- Аннотация: Original data assimilation method based on the given variational minimum and variance minimum principle is derived. This method is applied in conjunction with the coupled MPIESM numerical model developed in Max Planck Institute for Meteorology (Germany) and realized on supercomputer Lomonosov-2 in Moscow State University. Several experiments with and without assimilation of sea level are conducted and the results of those experiments are analyzed. In particular, it is shown that the ice concentration in Arctic zone of Russia fits better to observation then in control experiments i.e. without assimilation.
- Добавил в систему: Сальников Алексей Николаевич