Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean

An ocean data assimilation system to assimilate Argo temperature ( T ) and salinity ( S ) profiles into the HYbrid Coordinate Ocean Model (HYCOM) was constructed, implemented and evaluated for the first time in the Atlantic Ocean (78° S to 50° N and 98° W to 20° E). The system is based on the ensemb...

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Published in:Ocean Science
Main Authors: Mignac, D., Tanajura, C. A. S., Santana, A. N., Lima, L. N., Xie, J.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/os-11-195-2015
https://os.copernicus.org/articles/11/195/2015/
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spelling ftcopernicus:oai:publications.copernicus.org:os24886 2023-05-15T17:36:13+02:00 Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean Mignac, D. Tanajura, C. A. S. Santana, A. N. Lima, L. N. Xie, J. 2018-01-15 application/pdf https://doi.org/10.5194/os-11-195-2015 https://os.copernicus.org/articles/11/195/2015/ eng eng doi:10.5194/os-11-195-2015 https://os.copernicus.org/articles/11/195/2015/ eISSN: 1812-0792 Text 2018 ftcopernicus https://doi.org/10.5194/os-11-195-2015 2020-07-20T16:24:46Z An ocean data assimilation system to assimilate Argo temperature ( T ) and salinity ( S ) profiles into the HYbrid Coordinate Ocean Model (HYCOM) was constructed, implemented and evaluated for the first time in the Atlantic Ocean (78° S to 50° N and 98° W to 20° E). The system is based on the ensemble optimal interpolation (EnOI) algorithm proposed by Xie and Zhu (2010), especially made to deal with the hybrid nature of the HYCOM vertical coordinate system with multiple steps. The Argo T – S profiles were projected to the model vertical space to create pseudo-observed layer thicknesses (Δ p obs ), which correspond to the model target densities. The first step was to assimilate Δ p obs considering the sub-state vector composed by the model layer thickness (Δ p ) and the baroclinic velocity components. After that, T and S were assimilated separately. Finally, T was diagnosed below the mixed layer to preserve the density of the model isopycnal layers. Five experiments were performed from 1 January 2010 to 31 December 2012: a control run without assimilation, and four assimilation runs considering the different vertical localizations of T , S and Δ p . The assimilation experiments were able to significantly improve the thermohaline structure produced by the control run. They reduced the root mean square deviation (RMSD) of T and S calculated with respect to Argo independent data in 34 and 44%, respectively, in comparison to the control run. In some regions, such as the western North Atlantic, substantial corrections in the 20 °C isotherm depth and the upper ocean heat content towards climatological states were achieved. The runs with a vertical localization of Δ p showed positive impacts in the correction of the thermohaline structure and reduced the RMSD of T ( S ) from 0.993 °C (0.149 psu) to 0.905 °C (0.138 psu) for the whole domain with respect to the other assimilation runs. Text North Atlantic Copernicus Publications: E-Journals Ocean Science 11 1 195 213
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description An ocean data assimilation system to assimilate Argo temperature ( T ) and salinity ( S ) profiles into the HYbrid Coordinate Ocean Model (HYCOM) was constructed, implemented and evaluated for the first time in the Atlantic Ocean (78° S to 50° N and 98° W to 20° E). The system is based on the ensemble optimal interpolation (EnOI) algorithm proposed by Xie and Zhu (2010), especially made to deal with the hybrid nature of the HYCOM vertical coordinate system with multiple steps. The Argo T – S profiles were projected to the model vertical space to create pseudo-observed layer thicknesses (Δ p obs ), which correspond to the model target densities. The first step was to assimilate Δ p obs considering the sub-state vector composed by the model layer thickness (Δ p ) and the baroclinic velocity components. After that, T and S were assimilated separately. Finally, T was diagnosed below the mixed layer to preserve the density of the model isopycnal layers. Five experiments were performed from 1 January 2010 to 31 December 2012: a control run without assimilation, and four assimilation runs considering the different vertical localizations of T , S and Δ p . The assimilation experiments were able to significantly improve the thermohaline structure produced by the control run. They reduced the root mean square deviation (RMSD) of T and S calculated with respect to Argo independent data in 34 and 44%, respectively, in comparison to the control run. In some regions, such as the western North Atlantic, substantial corrections in the 20 °C isotherm depth and the upper ocean heat content towards climatological states were achieved. The runs with a vertical localization of Δ p showed positive impacts in the correction of the thermohaline structure and reduced the RMSD of T ( S ) from 0.993 °C (0.149 psu) to 0.905 °C (0.138 psu) for the whole domain with respect to the other assimilation runs.
format Text
author Mignac, D.
Tanajura, C. A. S.
Santana, A. N.
Lima, L. N.
Xie, J.
spellingShingle Mignac, D.
Tanajura, C. A. S.
Santana, A. N.
Lima, L. N.
Xie, J.
Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean
author_facet Mignac, D.
Tanajura, C. A. S.
Santana, A. N.
Lima, L. N.
Xie, J.
author_sort Mignac, D.
title Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean
title_short Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean
title_full Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean
title_fullStr Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean
title_full_unstemmed Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean
title_sort argo data assimilation into hycom with an enoi method in the atlantic ocean
publishDate 2018
url https://doi.org/10.5194/os-11-195-2015
https://os.copernicus.org/articles/11/195/2015/
genre North Atlantic
genre_facet North Atlantic
op_source eISSN: 1812-0792
op_relation doi:10.5194/os-11-195-2015
https://os.copernicus.org/articles/11/195/2015/
op_doi https://doi.org/10.5194/os-11-195-2015
container_title Ocean Science
container_volume 11
container_issue 1
container_start_page 195
op_container_end_page 213
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