Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Konstantin Belyaev"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 5, p 1078 (2023)
The main aim of this work is to study the spatial–temporal variability of the model’s physical and spectral characteristics in the process of assimilation of observed ocean surface height data from the AVISO (Archiving, Validating and Interpolati
Externí odkaz:
https://doaj.org/article/719a17f5c96a425ab87c48ce1f4f877f
Publikováno v:
Mathematics, Vol 9, Iss 19, p 2371 (2021)
In this paper, we consider a recently developed data assimilation method, the Generalized Kalman Filter (GKF), which is a generalization of the widely-used Ensemble Optimal Interpolation (EnOI) method. Both methods are applied for modeling the Atlant
Externí odkaz:
https://doaj.org/article/8825de54b0bf471f8e82662999d969c3
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 10, p 753 (2020)
The spatial–temporal variability of the calculated characteristics of the ocean in the Arctic zone of Russia is studied. In this study, the known hydrodynamic model of the ocean Nucleus for European Modelling of the Ocean (NEMO) is used with assimi
Externí odkaz:
https://doaj.org/article/fc179b3678b9447888a89c1050d86b69
Extreme surface turbulent heat fluxes affecting convective processes in subpolar ocean regions may amount to 1000-3000 W/m2. Their quantitative estimation is critically important for many oceanographic and meteorological applications. Extreme turbule
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3057010aba322f27c1ee4e184ebca16a
https://doi.org/10.5194/egusphere-egu23-2957
https://doi.org/10.5194/egusphere-egu23-2957
Publikováno v:
Russian Digital Libraries Journal. 24:1217-1232
The results of studies of atmospheric pressure in the Arctic region of Russia in the period from 1948 to 2008 are presented. The analysis of the climatic seasonal variation of the atmospheric pressure fields is carried out. As the main research metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13a031d2263c27f64c199a495ba38532
https://doi.org/10.26907/1562-5419-2021-24-6-1217-1232
https://doi.org/10.26907/1562-5419-2021-24-6-1217-1232
Publikováno v:
Lobachevskii Journal of Mathematics. 42:1800-1806
The convergence of the results of modeling with the assimilation of observational data to a random process is considered. The assimilation of observational data is realized by the previously derived author’s method. The convergence is considered wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3412ea3022eb66d170ed32b8dab60b73
https://doi.org/10.1134/s1995080221080072
https://doi.org/10.1134/s1995080221080072
Publikováno v:
Russian Digital Libraries Journal. 23:615-633
The stability problem is considered in terms of the classical Lyapunov definition. For this, a set of initial conditions is set, consisting of their preliminary calculations, and the spread of the trajectories obtained as a result of numerical simula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a845f320317180c44c35e63d7390e4e9
https://doi.org/10.26907/1562-5419-2020-23-4-615-633
https://doi.org/10.26907/1562-5419-2020-23-4-615-633
Autor:
Konstantin Belyaev, Natalia Tuchkova
Publikováno v:
Proceedings of 24th Scientific Conference “Scientific Services & Internet – 2022”.
The observational data for 1979-2018 in the North Atlantic region are analyzed. These data were obtained as a result of the implementation of the project of the Russian Academy of Sciences for the study of the atmosphere in the North Atlantic (RAS-NA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::172520452cf5e57d0024c2caf8184a92
https://doi.org/10.20948/abrau-2022-33
https://doi.org/10.20948/abrau-2022-33
Publikováno v:
Mathematics
Volume 9
Issue 19
Mathematics, Vol 9, Iss 2371, p 2371 (2021)
Volume 9
Issue 19
Mathematics, Vol 9, Iss 2371, p 2371 (2021)
In this paper, we consider a recently developed data assimilation method, the Generalized Kalman Filter (GKF), which is a generalization of the widely-used Ensemble Optimal Interpolation (EnOI) method. Both methods are applied for modeling the Atlant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2183cb2e5581c9d86d47d1b058ccd86f
Autor:
Alex Santana, Leonardo Lima, Jiang Zhu, Davi Mignac, Konstantin Belyaev, Clemente A. S. Tanajura, Filipe B. Costa
Publikováno v:
Ocean Dynamics. 70:115-138
The Oceanographic Modeling and Observation Network (REMO) focuses on scientific and technological development of operational oceanography in Brazil considering both numerical forecasting and observational systems. A key component of the forecasting s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16c5f1281768364e5a1cac9021c6594e
https://doi.org/10.1007/s10236-019-01309-8
https://doi.org/10.1007/s10236-019-01309-8