- Oceanographic and Atmospheric Processes
- Arctic and Antarctic ice dynamics
- Climate variability and models
- Marine and environmental studies
- Aquatic and Environmental Studies
- Atmospheric and Environmental Gas Dynamics
- Methane Hydrates and Related Phenomena
- Geological Studies and Exploration
- Meteorological Phenomena and Simulations
- Geology and Paleoclimatology Research
- Marine and coastal ecosystems
- Food Industry and Aquatic Biology
- Climate change and permafrost
- Geophysics and Gravity Measurements
- Ocean Acidification Effects and Responses
- Medical Imaging Techniques and Applications
- Advanced Computational Techniques and Applications
- Ocean Waves and Remote Sensing
- Cryospheric studies and observations
- Marine and fisheries research
- Tropical and Extratropical Cyclones Research
- Scientific Research and Discoveries
- Climate Change and Environmental Impact
- Transboundary Water Resource Management
- Air Traffic Management and Optimization
Institute of Numerical Mathematics
2015-2025
Lomonosov Moscow State University
2018-2025
Zubov State Oceanographic Institute
2013-2025
Russian Academy of Sciences
2013-2024
Roshydromet
2021-2024
Moscow State University
2019-2024
Marine Hydrophysical Institute
2019
We consider simulation of the present day climate with use model INM-CM48 in comparison result previous INMCM4.0 which used different parameterizations many physical processes and also INM-CM5 uses same parameterizations, but better spatial resolution. It is shown that reproduces modern than most indicators.
Six Arctic Ocean Model Intercomparison Project model simulations are compared with estimates of sea ice thickness derived from pan‐Arctic satellite freeboard measurements (2004–2008); airborne electromagnetic (2001–2009); draft data moored instruments in Fram Strait, the Greenland Sea, and Beaufort Sea (1992–2008) submarines (1975–2000); drill hole basin, Laptev, East Siberian marginal seas (1982–1986) coastal stations (1998–2009). Despite an assessment six models that differ numerical...
Article Numerical model of the circulation Black Sea and Azov was published on April 1, 2012 in journal Russian Journal Analysis Mathematical Modelling (volume 27, issue 1).
Abstract The goal of this research is to modify and apply a version high‐resolution three‐dimensional numerical model for simulations bottom circulation study the flows Antarctic Bottom Water in abyssal channels Atlantic Ocean using model. We adjusted Institute Numerical Mathematics Model σ‐level ocean several regions with intense currents channels. High vertical resolution near seafloor allowed us part circulation, while high horizontal necessary modeling narrow underwater fracture zones....
Abstract The Antarctic Bottom Water flow through abyssal channels, fracture zones and troughs contributes to the lower limb of global ocean meridional overturning circulation. These flows also control sedimentation processes form furrows, contourite drifts, other erosional depositional seafloor features. Here, we present new measurements that provide observational evidence an along a more than 800‐km‐long channel in tropical Atlantic. Our show discovered provides transport coldest waters...
The problem of mathematical modelling the baroclinic dynamics World Ocean and its large areas is considered. model has been developed at Institute Numerical Mathematics RAS (INMRAS) based on equations general circulation represented in generalized σ-system coordinates with a free surface hydrostatics Boussinesq approximation. computational solution technique for this multicomponent splitting flexible, hierarchically scalable modular structure. main 'cycle' decomposition complicated system...
A new ocean hydrothermodynamics model is developed. The problem of variational assimilation sea level function data formulated and investigated. results numerical experiments are given.
ОЦЕНКА КЛИМАТИЧЕСКИХ ИЗМЕНЕНИЙ В АРКТИКЕ ХХI СТОЛЕТИИ НА ОСНОВЕ КОМБИНИРОВАННОГО ПРОГНОСТИЧЕСКОГО СЦЕНАРИЯ Г. Н. Панин Институт водных проблем РАН (Москва, Российская Федерация) А. Дианский Московский государственный университет им.М. В. Ломоносова, вычислительной математики РАН, Государственный океанографический институт им.Н. Зубова И. Соломонова Гусев океанологии им.П. П. Ширшова Т. Ю. Выручалкина Федерация