Optimal Boundary Conditions for ORCA-2 Model
A 4D-Var data assimilation technique is applied to a ORCA-2 configuration of the NEMO in order to identify the optimal parametrization of the boundary conditions on the lateral boundaries as well as on the bottom and on the surface of the ocean. The influence of the boundary conditions on the soluti...
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ftdatacite:10.48550/arxiv.1212.3116 2023-05-15T17:53:30+02:00 Optimal Boundary Conditions for ORCA-2 Model Kazantsev, Eugene 2012 https://dx.doi.org/10.48550/arxiv.1212.3116 https://arxiv.org/abs/1212.3116 unknown arXiv https://dx.doi.org/10.1007/s10236-013-0639-8 arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Atmospheric and Oceanic Physics physics.ao-ph Optimization and Control math.OC FOS Physical sciences FOS Mathematics article-journal Article ScholarlyArticle Text 2012 ftdatacite https://doi.org/10.48550/arxiv.1212.3116 https://doi.org/10.1007/s10236-013-0639-8 2022-04-01T13:24:33Z A 4D-Var data assimilation technique is applied to a ORCA-2 configuration of the NEMO in order to identify the optimal parametrization of the boundary conditions on the lateral boundaries as well as on the bottom and on the surface of the ocean. The influence of the boundary conditions on the solution is analyzed as in the assimilation window and beyond the window. It is shown that optimal conditions for vertical operators allows to get stronger and finer jet streams (Gulf Stream, Kuroshio) in the solution. Analyzing the reasons of the jets reinforcement, we see that the major impact of the data assimilation is made on the parametrization of the bottom boundary conditions for lateral velocities u and v. Automatic generation of the tangent and adjoint codes is also discussed. Tapenade software is shown to be able to produce the adjoint code that can be used after a memory usage optimization. Text Orca DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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language |
unknown |
topic |
Atmospheric and Oceanic Physics physics.ao-ph Optimization and Control math.OC FOS Physical sciences FOS Mathematics |
spellingShingle |
Atmospheric and Oceanic Physics physics.ao-ph Optimization and Control math.OC FOS Physical sciences FOS Mathematics Kazantsev, Eugene Optimal Boundary Conditions for ORCA-2 Model |
topic_facet |
Atmospheric and Oceanic Physics physics.ao-ph Optimization and Control math.OC FOS Physical sciences FOS Mathematics |
description |
A 4D-Var data assimilation technique is applied to a ORCA-2 configuration of the NEMO in order to identify the optimal parametrization of the boundary conditions on the lateral boundaries as well as on the bottom and on the surface of the ocean. The influence of the boundary conditions on the solution is analyzed as in the assimilation window and beyond the window. It is shown that optimal conditions for vertical operators allows to get stronger and finer jet streams (Gulf Stream, Kuroshio) in the solution. Analyzing the reasons of the jets reinforcement, we see that the major impact of the data assimilation is made on the parametrization of the bottom boundary conditions for lateral velocities u and v. Automatic generation of the tangent and adjoint codes is also discussed. Tapenade software is shown to be able to produce the adjoint code that can be used after a memory usage optimization. |
format |
Text |
author |
Kazantsev, Eugene |
author_facet |
Kazantsev, Eugene |
author_sort |
Kazantsev, Eugene |
title |
Optimal Boundary Conditions for ORCA-2 Model |
title_short |
Optimal Boundary Conditions for ORCA-2 Model |
title_full |
Optimal Boundary Conditions for ORCA-2 Model |
title_fullStr |
Optimal Boundary Conditions for ORCA-2 Model |
title_full_unstemmed |
Optimal Boundary Conditions for ORCA-2 Model |
title_sort |
optimal boundary conditions for orca-2 model |
publisher |
arXiv |
publishDate |
2012 |
url |
https://dx.doi.org/10.48550/arxiv.1212.3116 https://arxiv.org/abs/1212.3116 |
genre |
Orca |
genre_facet |
Orca |
op_relation |
https://dx.doi.org/10.1007/s10236-013-0639-8 |
op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
op_doi |
https://doi.org/10.48550/arxiv.1212.3116 https://doi.org/10.1007/s10236-013-0639-8 |
_version_ |
1766161202951487488 |