Simultaneous assimilation of surface drifter data, satellite and in situ observations for improved estimates of meso-scale variability in the Kuroshio Extension Region
In order to better estimate meso-scale variabilities in the energetic Kuroshio Extension (KE) region, simultaneous assimilation of drifter-derived velocity data, together with satellite and in situ hydrographic data, is attempted by using a high-resolution 4-dimensional variational data assimilation...
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ftkyotouniv:oai:repository.kulib.kyoto-u.ac.jp:2433/173123 2023-05-15T18:28:25+02:00 Simultaneous assimilation of surface drifter data, satellite and in situ observations for improved estimates of meso-scale variability in the Kuroshio Extension Region Nishina, Kei Ishikawa, Yoichi Awaji, Toshiyuki 仁科, 慧 2013-04 application/pdf http://hdl.handle.net/2433/173123 eng eng Springer Japan 10.1007/s10872-012-0163-3 0916-8370 http://hdl.handle.net/2433/173123 AA10833529 Journal of Oceanography 69 2 175 190 The final publication is available at www.springerlink.com This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 Data assimilation Surface drifter 4D-Var method Kuroshio Extension Mesoscale eddies Journal Article 2013 ftkyotouniv 2017-10-28T22:43:56Z In order to better estimate meso-scale variabilities in the energetic Kuroshio Extension (KE) region, simultaneous assimilation of drifter-derived velocity data, together with satellite and in situ hydrographic data, is attempted by using a high-resolution 4-dimensional variational data assimilation (4D-VAR) system. Our experimental results, both with and without assimilation of drifter data (Exp. Drf and Exp. Ref, respectively) for the period during Aug–Oct 2005, show that the reproduced fields in Exp. Drf better reflect the observed meso-scale features such as the KE meandering jet and associated eddies. The adjoint sensitivity analysis indicates that our 4D-VAR system has the ability to provide a more realistic timeseries of the meandering jet structures that play a key role in the intergyre exchange between the subtropical and subarctic gyres in the North Pacific. In addition, the observed information from the surface drifters works to improve the subsurface structure. These results illustrate the advantage of our 4D-VAR simultaneous assimilation with the addition of drifter-derived surface velocity information. Article in Journal/Newspaper Subarctic Kyoto University Research Information Repository (KURENAI) Pacific |
institution |
Open Polar |
collection |
Kyoto University Research Information Repository (KURENAI) |
op_collection_id |
ftkyotouniv |
language |
English |
topic |
Data assimilation Surface drifter 4D-Var method Kuroshio Extension Mesoscale eddies |
spellingShingle |
Data assimilation Surface drifter 4D-Var method Kuroshio Extension Mesoscale eddies Nishina, Kei Ishikawa, Yoichi Awaji, Toshiyuki Simultaneous assimilation of surface drifter data, satellite and in situ observations for improved estimates of meso-scale variability in the Kuroshio Extension Region |
topic_facet |
Data assimilation Surface drifter 4D-Var method Kuroshio Extension Mesoscale eddies |
description |
In order to better estimate meso-scale variabilities in the energetic Kuroshio Extension (KE) region, simultaneous assimilation of drifter-derived velocity data, together with satellite and in situ hydrographic data, is attempted by using a high-resolution 4-dimensional variational data assimilation (4D-VAR) system. Our experimental results, both with and without assimilation of drifter data (Exp. Drf and Exp. Ref, respectively) for the period during Aug–Oct 2005, show that the reproduced fields in Exp. Drf better reflect the observed meso-scale features such as the KE meandering jet and associated eddies. The adjoint sensitivity analysis indicates that our 4D-VAR system has the ability to provide a more realistic timeseries of the meandering jet structures that play a key role in the intergyre exchange between the subtropical and subarctic gyres in the North Pacific. In addition, the observed information from the surface drifters works to improve the subsurface structure. These results illustrate the advantage of our 4D-VAR simultaneous assimilation with the addition of drifter-derived surface velocity information. |
author2 |
仁科, 慧 |
format |
Article in Journal/Newspaper |
author |
Nishina, Kei Ishikawa, Yoichi Awaji, Toshiyuki |
author_facet |
Nishina, Kei Ishikawa, Yoichi Awaji, Toshiyuki |
author_sort |
Nishina, Kei |
title |
Simultaneous assimilation of surface drifter data, satellite and in situ observations for improved estimates of meso-scale variability in the Kuroshio Extension Region |
title_short |
Simultaneous assimilation of surface drifter data, satellite and in situ observations for improved estimates of meso-scale variability in the Kuroshio Extension Region |
title_full |
Simultaneous assimilation of surface drifter data, satellite and in situ observations for improved estimates of meso-scale variability in the Kuroshio Extension Region |
title_fullStr |
Simultaneous assimilation of surface drifter data, satellite and in situ observations for improved estimates of meso-scale variability in the Kuroshio Extension Region |
title_full_unstemmed |
Simultaneous assimilation of surface drifter data, satellite and in situ observations for improved estimates of meso-scale variability in the Kuroshio Extension Region |
title_sort |
simultaneous assimilation of surface drifter data, satellite and in situ observations for improved estimates of meso-scale variability in the kuroshio extension region |
publisher |
Springer Japan |
publishDate |
2013 |
url |
http://hdl.handle.net/2433/173123 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Subarctic |
genre_facet |
Subarctic |
op_relation |
10.1007/s10872-012-0163-3 0916-8370 http://hdl.handle.net/2433/173123 AA10833529 Journal of Oceanography 69 2 175 190 |
op_rights |
The final publication is available at www.springerlink.com This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 |
_version_ |
1766210888684011520 |