
Valery Agoshkov, Russian Academy of Sciences, Russia
agoshkov@inm.ras.ru
Vladimir Zalesny, Russian Academy of Sciences, Russia
zalesny@inm.ras.ru
The development of efficient computational algorithms for solving data assimilation and inverse problems in geophysical hydrodynamics is one of the most important contemporary computational and informational problems. This minisymposium aims to provide an international basis to exchange the latest research achievements in the theory and applications of the inverse and data assimilation problems in geophysical hydrodynamics.We invite experts and young researches working in these fields to discuss new theoretical results, numerics of ill-posed problems for complicated mathematical models and applications.
Friday 25th May, 2012
1. 09:30 – 09:55 Vladimir Shaydurov, Extrapolation by small parameter in regularization method, Institute of Computational Modelling, Siberian Branch of RAS, Krasnoyarsk, Russia
2. 09:55 – 10.20 Vladimir Zalesny, Modeling of the World Ocean circulation using a four-dimensional variational (4D VAR) assimilation of temperature and salinity field, Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia
3. 10.20 – 10.45 Victor Kuzin, Inverse P-vector method in the diagnosis of the Kuroshio current, Institute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
4. 10.45 – 11.10 Eugenya Karepova, Recovery of boundary function by observation data in shallow water model,Institute of Computational Modelling of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia
5. 11.10 -11.30 Eugene Parmuzin, Study and numerical solution of the inverse problem of heat fluxes in the ocean dynamics model based on ARGO buoys data, Institute of Numerical Mathematics of the Russian Academy of Sciences, Moscow, Russia
Cofee Break 11.30-11.50
6. 11.50 - 12.15 Valery Agoshkov, Method of “fictitious controls” and solution of inverse problems using variational data assimilation, Institute of Numerical Mathematics of the Russian Academy of Sciences, Moscow, Russia
7. 12.15 - 12.40 Victor Shutyaev, Optimal solution error covariances in variational data assimilation, Institute of Numerical Mathematics of the Russian Academy of Sciences, Moscow, Russia
8. 12.40 -13.00 Maksim Assovskiy, Study and solution of the inverse problem on the secondary tidal forces reconstruction, Sclumberger Logelco Inc., Panama