Skip to main content

Seminar «Supercomputer simulation of the climate system»

Seminar Leader: Sadovnichy V.A., academician, rector of Lomonosov Moscow State University

Co-leaders of the seminar:

  • Wilfand R.M., Doctor of Technical Sciences, Scientific Director of the Hydrometeorological Center of Russia
  • Dobrolyubov S.A., Corr. RAS, Dean of the Faculty of Geography, Lomonosov Moscow State University
  • Lykosov V.N., Corr. RAS, chief scientist Institute of Computational Mathematics, Russian Academy of Sciences, Head. Laboratory of Supercomputer Modeling of Natural and Climatic Processes of RCC MSU
  • Stepanenko V.M., Doctor of Physics and Mathematics, Deputy Director of RCC MSU

Scientific Secretary of the seminar: Mortikov E.V., Ph.D., Researcher of RCC MSU




Ibraev R.A. Marchuk Institute of Numerical Mathematics of RAS
Shirshov Institute of Oceanology RAS
Ushakov K.V. Shirshov Institute of Oceanology RAS
Kaurkin M.N. Shirshov Institute of Oceanology RAS


The report presents the results of studies on the creation of a computer System for Operational Oceanology (SOO) of the global ocean. SOO consists of a joint ocean dynamics model INMIO and sea ice model CICE, a parallel ensemble optimal interpolation algorithm (DAS-EnOI). The whole system is running a compact computing platform for CMF modeling. The features and main characteristics of the components of the INMIO system - CICE, DAS-EnOI, CMF are considered. An example of the work of the World Ocean 1/10 x 1/10 x 49 INMIO model and its verification is given.

Using DAS-EnOI, the results of an ocean prediction study with assimilation of temperature and salinity profiles (ARGO) and ocean level anomaly (AVISO) in the North Atlantic model, which is part of the 1/10 x 1/10 x 49 World Ocean model, are considered.

Preliminary results of a global SOO model with a spatial resolution of 0.25 degrees created on the basis of the Marine Hydrophysical Institute of the Russian Academy of Sciences (Sevastopol) are presented. A multivariate data vector, consisting of ARGO profiles for temperature and salinity, satellite observations of ocean level and sea ice cohesion, is assimilated in the SOO layout. As part of this system, a fundamentally new technology for strong coupled data assimilation has been developed in two models - IWMIO (ocean) and CICE (sea ice), operating in parallel under the control of CMF3.0.

More details about working at

The work was funded by the Russian Science Foundation, grant No. 17-77-30001.