Identification of optimal topography of the barotropic ocean model in the North Atlantic by variational data assimilation
The use of the data assimilation technique to identify optimal topography is discussed in frames of time-dependent motion governed by nonlinear barotropic ocean model. Assimilation of artificially generated data allows to measure the influence of various error sources and to classify the impact of n...
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2009
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ftculeuclid:oai:CULeuclid:euclid.jpm/1288015156 2023-05-15T17:31:52+02:00 Identification of optimal topography of the barotropic ocean model in the North Atlantic by variational data assimilation Kazantsev, Eugene 2009-12 application/pdf http://projecteuclid.org/euclid.jpm/1288015156 https://doi.org/10.4303/jpm/S090702 en eng Ashdin Publishing 2090-0899 2090-0902 Copyright 2009 Ashdin Publishing optimal topography barotropic ocean model variational data assimilation 86 08 Text 2009 ftculeuclid https://doi.org/10.4303/jpm/S090702 2018-10-06T12:43:28Z The use of the data assimilation technique to identify optimal topography is discussed in frames of time-dependent motion governed by nonlinear barotropic ocean model. Assimilation of artificially generated data allows to measure the influence of various error sources and to classify the impact of noise that is present in observational data and model parameters. The choice of length of the assimilation window in 4DVar is discussed. It is shown that using longer window lengths would provide more accurate ocean topography. The topography defined using this technique can be further used in other model runs that start from other initial conditions and are situated in other parts of the model's attractor. Text North Atlantic Project Euclid (Cornell University Library) Journal of Physical Mathematics 1 1 23 |
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Open Polar |
collection |
Project Euclid (Cornell University Library) |
op_collection_id |
ftculeuclid |
language |
English |
topic |
optimal topography barotropic ocean model variational data assimilation 86 08 |
spellingShingle |
optimal topography barotropic ocean model variational data assimilation 86 08 Kazantsev, Eugene Identification of optimal topography of the barotropic ocean model in the North Atlantic by variational data assimilation |
topic_facet |
optimal topography barotropic ocean model variational data assimilation 86 08 |
description |
The use of the data assimilation technique to identify optimal topography is discussed in frames of time-dependent motion governed by nonlinear barotropic ocean model. Assimilation of artificially generated data allows to measure the influence of various error sources and to classify the impact of noise that is present in observational data and model parameters. The choice of length of the assimilation window in 4DVar is discussed. It is shown that using longer window lengths would provide more accurate ocean topography. The topography defined using this technique can be further used in other model runs that start from other initial conditions and are situated in other parts of the model's attractor. |
format |
Text |
author |
Kazantsev, Eugene |
author_facet |
Kazantsev, Eugene |
author_sort |
Kazantsev, Eugene |
title |
Identification of optimal topography of the barotropic ocean model in the North Atlantic by variational data assimilation |
title_short |
Identification of optimal topography of the barotropic ocean model in the North Atlantic by variational data assimilation |
title_full |
Identification of optimal topography of the barotropic ocean model in the North Atlantic by variational data assimilation |
title_fullStr |
Identification of optimal topography of the barotropic ocean model in the North Atlantic by variational data assimilation |
title_full_unstemmed |
Identification of optimal topography of the barotropic ocean model in the North Atlantic by variational data assimilation |
title_sort |
identification of optimal topography of the barotropic ocean model in the north atlantic by variational data assimilation |
publisher |
Ashdin Publishing |
publishDate |
2009 |
url |
http://projecteuclid.org/euclid.jpm/1288015156 https://doi.org/10.4303/jpm/S090702 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
2090-0899 2090-0902 |
op_rights |
Copyright 2009 Ashdin Publishing |
op_doi |
https://doi.org/10.4303/jpm/S090702 |
container_title |
Journal of Physical Mathematics |
container_volume |
1 |
container_start_page |
1 |
op_container_end_page |
23 |
_version_ |
1766129675708399616 |