Numerical Modeling of Marine Circulation with 4D Variational Data Assimilation
The technology is presented for modeling and prediction of marine hydrophysical fields based on the 4D variational data assimilation technique developed at the Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences (INM RAS). The technology is based on solving equations of marine hy...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/8/7/503 |
| _version_ | 1797562929225138176 |
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| author | Vladimir Zalesny Valeriy Agoshkov Victor Shutyaev Eugene Parmuzin Natalia Zakharova |
| author_facet | Vladimir Zalesny Valeriy Agoshkov Victor Shutyaev Eugene Parmuzin Natalia Zakharova |
| author_sort | Vladimir Zalesny |
| collection | DOAJ |
| description | The technology is presented for modeling and prediction of marine hydrophysical fields based on the 4D variational data assimilation technique developed at the Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences (INM RAS). The technology is based on solving equations of marine hydrodynamics using multicomponent splitting, thereby solving an optimality system that includes adjoint equations and covariance matrices of observation errors. The hydrodynamic model is described by primitive equations in the sigma-coordinate system, which is solved by finite-difference methods. The technology includes original algorithms for solving the problems of variational data assimilation using modern iterative processes with a special choice of iterative parameters. The methods and technology are illustrated by the example of solving the problem of circulation of the Baltic Sea with 4D variational data assimilation of sea surface temperature information. |
| first_indexed | 2024-03-10T18:35:34Z |
| format | Article |
| id | doaj.art-6647cd62f30041b48792170d45465c7f |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-10T18:35:34Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-6647cd62f30041b48792170d45465c7f2023-11-20T06:16:13ZengMDPI AGJournal of Marine Science and Engineering2077-13122020-07-018750310.3390/jmse8070503Numerical Modeling of Marine Circulation with 4D Variational Data AssimilationVladimir Zalesny0Valeriy Agoshkov1Victor Shutyaev2Eugene Parmuzin3Natalia Zakharova4Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119333 Moscow, RussiaMarchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119333 Moscow, RussiaMarchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119333 Moscow, RussiaMarchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119333 Moscow, RussiaMarchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119333 Moscow, RussiaThe technology is presented for modeling and prediction of marine hydrophysical fields based on the 4D variational data assimilation technique developed at the Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences (INM RAS). The technology is based on solving equations of marine hydrodynamics using multicomponent splitting, thereby solving an optimality system that includes adjoint equations and covariance matrices of observation errors. The hydrodynamic model is described by primitive equations in the sigma-coordinate system, which is solved by finite-difference methods. The technology includes original algorithms for solving the problems of variational data assimilation using modern iterative processes with a special choice of iterative parameters. The methods and technology are illustrated by the example of solving the problem of circulation of the Baltic Sea with 4D variational data assimilation of sea surface temperature information.https://www.mdpi.com/2077-1312/8/7/503sea dynamics modelingvariational data assimilationobservationssea surface temperature |
| spellingShingle | Vladimir Zalesny Valeriy Agoshkov Victor Shutyaev Eugene Parmuzin Natalia Zakharova Numerical Modeling of Marine Circulation with 4D Variational Data Assimilation Journal of Marine Science and Engineering sea dynamics modeling variational data assimilation observations sea surface temperature |
| title | Numerical Modeling of Marine Circulation with 4D Variational Data Assimilation |
| title_full | Numerical Modeling of Marine Circulation with 4D Variational Data Assimilation |
| title_fullStr | Numerical Modeling of Marine Circulation with 4D Variational Data Assimilation |
| title_full_unstemmed | Numerical Modeling of Marine Circulation with 4D Variational Data Assimilation |
| title_short | Numerical Modeling of Marine Circulation with 4D Variational Data Assimilation |
| title_sort | numerical modeling of marine circulation with 4d variational data assimilation |
| topic | sea dynamics modeling variational data assimilation observations sea surface temperature |
| url | https://www.mdpi.com/2077-1312/8/7/503 |
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