The seminar is devoted to various aspects of the application of supercomputer modeling methods for solving weather and climate forecasting problems.

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

PROGRAM

METHODS OF VARIATIONAL DATA ASSIMILATION AND APPLICATIONS IN PROBLEMS OF GEOPHYSICAL FLUID DYNAMICS

In recent years, there has been an increasing interest in research methods and numerical solution of inverse and data assimilation problems, which play a fundamental role in the theoretical understanding and mathematical modeling of processes and phenomena from various fields of knowledge. The data assimilation technique is widely used in geosciences. It received the greatest applications in meteorology and oceanography, where observations of the atmosphere and ocean are assimilated into atmospheric and oceanic models in order to obtain the initial and boundary conditions (or other model parameters) for further modeling and forecasting.

A significant progress in solving data assimilation problems has been the use of variational methods and, in particular, optimal control methods. The development of this direction at the INM RAS was initiated by Academician Guriy Ivanovich Marchuk. These approaches were the main content of G.I. Marchuk and his scientific school at the INM RAS in various fields of mathematics and applications.

This talk presents some approaches to solving the problems of variational data assimilation, developed at the INM RAS in cooperation with scientists from France. As an application, a mathematical model of marine dynamics is considered with a block of variational assimilation of data on sea surface temperature and taking into account the covariance matrices of observation errors. On the basis of variational assimilation of observational data, algorithms are proposed for solving inverse problems of restoring heat fluxes on the sea surface. The results of numerical experiments for specific sea areas are discussed.

This work was carried out with partial financial support from the Russian Science Foundation (project No. 20-11-20057).

 The seminar will be held in the form of a webinar on the Zoom platform.

Join Zoom Meeting: https://us02web.zoom.us/j/85822940968?pwd=OW5uS2JPMjZQWEdqbC9uWFd5WXRtUT09

Meeting ID: 858 2294 0968

Passcode: 677294

Instructions for installing and using the Zoom platform are available here:

https://support.zoom.us/hc/ru/articles/201362033-Начало-работы-на-ПК-и-Mac

To simplify our work during the seminar, please do the following: check in advance that Zoom works correctly (in the Zoom application settings, you can check the quality of the speakers and microphone) and enter the full surname, first name and patronymic in your profile settings (this can be done on on your profile page (https://us02web.zoom.us/profile)) - in this case, conference colleagues will see how to call to you.