How essential are Argo observations to constrain a global ocean data assimilation system?

Observing system experiments (OSEs) are carried out over a 1-year period to quantify the impact of Argo observations on the Mercator Ocean 0.25° global ocean analysis and forecasting system. The reference simulation assimilates sea surface temperature (SST), SSALTO/DUACS (Segment Sol multi-missions...

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Published in:Ocean Science
Main Authors: Turpin, Vincent, Remy, E., Le Traon, Pierre-yves
Format: Text
Language:English
Published: Copernicus Gesellschaft Mbh 2016
Subjects:
geo
Online Access:https://doi.org/10.5194/os-12-257-2016
https://archimer.ifremer.fr/doc/00333/44462/44140.pdf
https://archimer.ifremer.fr/doc/00333/44462/
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spelling fttriple:oai:gotriple.eu:nTgXlcUMMN00p4JQSBE4d 2023-05-15T17:06:13+02:00 How essential are Argo observations to constrain a global ocean data assimilation system? Turpin, Vincent Remy, E. Le Traon, Pierre-yves 2016-01-01 https://doi.org/10.5194/os-12-257-2016 https://archimer.ifremer.fr/doc/00333/44462/44140.pdf https://archimer.ifremer.fr/doc/00333/44462/ en eng Copernicus Gesellschaft Mbh doi:10.5194/os-12-257-2016 10670/1.srn2i7 https://archimer.ifremer.fr/doc/00333/44462/44140.pdf https://archimer.ifremer.fr/doc/00333/44462/ lic_creative-commons Archimer, archive institutionnelle de l'Ifremer Ocean Science (1812-0784) (Copernicus Gesellschaft Mbh), 2016 , Vol. 12 , N. 1 , P. 257-274 geo envir Text https://vocabularies.coar-repositories.org/resource_types/c_18cf/ 2016 fttriple https://doi.org/10.5194/os-12-257-2016 2023-01-22T17:34:24Z Observing system experiments (OSEs) are carried out over a 1-year period to quantify the impact of Argo observations on the Mercator Ocean 0.25° global ocean analysis and forecasting system. The reference simulation assimilates sea surface temperature (SST), SSALTO/DUACS (Segment Sol multi-missions dALTimetrie, d'orbitographie et de localisation précise/Data unification and Altimeter combination system) altimeter data and Argo and other in situ observations from the Coriolis data center. Two other simulations are carried out where all Argo and half of the Argo data are withheld. Assimilating Argo observations has a significant impact on analyzed and forecast temperature and salinity fields at different depths. Without Argo data assimilation, large errors occur in analyzed fields as estimated from the differences when compared with in situ observations. For example, in the 0–300 m layer RMS (root mean square) differences between analyzed fields and observations reach 0.25 psu and 1.25 °C in the western boundary currents and 0.1 psu and 0.75 °C in the open ocean. The impact of the Argo data in reducing observation–model forecast differences is also significant from the surface down to a depth of 2000 m. Differences between in situ observations and forecast fields are thus reduced by 20 % in the upper layers and by up to 40 % at a depth of 2000 m when Argo data are assimilated. At depth, the most impacted regions in the global ocean are the Mediterranean outflow, the Gulf Stream region and the Labrador Sea. A significant degradation can be observed when only half of the data are assimilated. Therefore, Argo observations matter to constrain the model solution, even for an eddy-permitting model configuration. The impact of the Argo floats' data assimilation on other model variables is briefly assessed: the improvement of the fit to Argo profiles do not lead globally to unphysical corrections on the sea surface temperature and sea surface height. The main conclusion is that the performance of the Mercator Ocean 0.25° ... Text Labrador Sea Unknown Ocean Science 12 1 257 274
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
Turpin, Vincent
Remy, E.
Le Traon, Pierre-yves
How essential are Argo observations to constrain a global ocean data assimilation system?
topic_facet geo
envir
description Observing system experiments (OSEs) are carried out over a 1-year period to quantify the impact of Argo observations on the Mercator Ocean 0.25° global ocean analysis and forecasting system. The reference simulation assimilates sea surface temperature (SST), SSALTO/DUACS (Segment Sol multi-missions dALTimetrie, d'orbitographie et de localisation précise/Data unification and Altimeter combination system) altimeter data and Argo and other in situ observations from the Coriolis data center. Two other simulations are carried out where all Argo and half of the Argo data are withheld. Assimilating Argo observations has a significant impact on analyzed and forecast temperature and salinity fields at different depths. Without Argo data assimilation, large errors occur in analyzed fields as estimated from the differences when compared with in situ observations. For example, in the 0–300 m layer RMS (root mean square) differences between analyzed fields and observations reach 0.25 psu and 1.25 °C in the western boundary currents and 0.1 psu and 0.75 °C in the open ocean. The impact of the Argo data in reducing observation–model forecast differences is also significant from the surface down to a depth of 2000 m. Differences between in situ observations and forecast fields are thus reduced by 20 % in the upper layers and by up to 40 % at a depth of 2000 m when Argo data are assimilated. At depth, the most impacted regions in the global ocean are the Mediterranean outflow, the Gulf Stream region and the Labrador Sea. A significant degradation can be observed when only half of the data are assimilated. Therefore, Argo observations matter to constrain the model solution, even for an eddy-permitting model configuration. The impact of the Argo floats' data assimilation on other model variables is briefly assessed: the improvement of the fit to Argo profiles do not lead globally to unphysical corrections on the sea surface temperature and sea surface height. The main conclusion is that the performance of the Mercator Ocean 0.25° ...
format Text
author Turpin, Vincent
Remy, E.
Le Traon, Pierre-yves
author_facet Turpin, Vincent
Remy, E.
Le Traon, Pierre-yves
author_sort Turpin, Vincent
title How essential are Argo observations to constrain a global ocean data assimilation system?
title_short How essential are Argo observations to constrain a global ocean data assimilation system?
title_full How essential are Argo observations to constrain a global ocean data assimilation system?
title_fullStr How essential are Argo observations to constrain a global ocean data assimilation system?
title_full_unstemmed How essential are Argo observations to constrain a global ocean data assimilation system?
title_sort how essential are argo observations to constrain a global ocean data assimilation system?
publisher Copernicus Gesellschaft Mbh
publishDate 2016
url https://doi.org/10.5194/os-12-257-2016
https://archimer.ifremer.fr/doc/00333/44462/44140.pdf
https://archimer.ifremer.fr/doc/00333/44462/
genre Labrador Sea
genre_facet Labrador Sea
op_source Archimer, archive institutionnelle de l'Ifremer
Ocean Science (1812-0784) (Copernicus Gesellschaft Mbh), 2016 , Vol. 12 , N. 1 , P. 257-274
op_relation doi:10.5194/os-12-257-2016
10670/1.srn2i7
https://archimer.ifremer.fr/doc/00333/44462/44140.pdf
https://archimer.ifremer.fr/doc/00333/44462/
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container_title Ocean Science
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container_start_page 257
op_container_end_page 274
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