Improvement of bias detection in Argo float conductivity sensors and its application in the North Atlantic

International audience We propose modifications of the OW method (Owens and Wong, 2009) used to estimate the time-varying correction of conductivity measurements from Argo floats. These modifications are necessary to account for large interannual to decadal variability of the large-scale salinity fi...

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Published in:Deep Sea Research Part I: Oceanographic Research Papers
Main Authors: Cabanes, Cécile, Thierry, Virginie, Lagadec, Catherine
Other Authors: Laboratoire d'Océanographie Physique et Spatiale (LOPS), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2016
Subjects:
Online Access:https://insu.hal.science/insu-03682700
https://insu.hal.science/insu-03682700/document
https://insu.hal.science/insu-03682700/file/44431.pdf
https://doi.org/10.1016/j.dsr.2016.05.007
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spelling ftunivbrest:oai:HAL:insu-03682700v1 2024-04-14T08:15:26+00:00 Improvement of bias detection in Argo float conductivity sensors and its application in the North Atlantic Cabanes, Cécile Thierry, Virginie Lagadec, Catherine Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) Institut Universitaire Européen de la Mer (IUEM) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) 2016 https://insu.hal.science/insu-03682700 https://insu.hal.science/insu-03682700/document https://insu.hal.science/insu-03682700/file/44431.pdf https://doi.org/10.1016/j.dsr.2016.05.007 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.dsr.2016.05.007 insu-03682700 https://insu.hal.science/insu-03682700 https://insu.hal.science/insu-03682700/document https://insu.hal.science/insu-03682700/file/44431.pdf BIBCODE: 2016DSRI.114.128C doi:10.1016/j.dsr.2016.05.007 info:eu-repo/semantics/OpenAccess ISSN: 0967-0637 Deep Sea Research Part I: Oceanographic Research Papers https://insu.hal.science/insu-03682700 Deep Sea Research Part I: Oceanographic Research Papers, 2016, 114, pp.128-136. ⟨10.1016/j.dsr.2016.05.007⟩ [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2016 ftunivbrest https://doi.org/10.1016/j.dsr.2016.05.007 2024-03-21T16:22:40Z International audience We propose modifications of the OW method (Owens and Wong, 2009) used to estimate the time-varying correction of conductivity measurements from Argo floats. These modifications are necessary to account for large interannual to decadal variability of the large-scale salinity field observed, for instance, in the North-Atlantic Ocean and to provide corrections with realistic error bars. The covariance function used to map reference salinity data at the float profile position was modified in order to minimize the contribution of the oldest reference data to the large-scale salinity field estimate. Mapping error now includes errors in the large-scale field estimates and fit error now takes into account the lateral dependence between climatological profiles. Finally, we used the modified OW method to check the consistency of the Argo salinity dataset available in delayed mode in the North-Atlantic Ocean. Overall, salinity corrections need to be reconsidered for 4.5% of the floats. Article in Journal/Newspaper North Atlantic Université de Bretagne Occidentale: HAL Deep Sea Research Part I: Oceanographic Research Papers 114 128 136
institution Open Polar
collection Université de Bretagne Occidentale: HAL
op_collection_id ftunivbrest
language English
topic [SDU]Sciences of the Universe [physics]
spellingShingle [SDU]Sciences of the Universe [physics]
Cabanes, Cécile
Thierry, Virginie
Lagadec, Catherine
Improvement of bias detection in Argo float conductivity sensors and its application in the North Atlantic
topic_facet [SDU]Sciences of the Universe [physics]
description International audience We propose modifications of the OW method (Owens and Wong, 2009) used to estimate the time-varying correction of conductivity measurements from Argo floats. These modifications are necessary to account for large interannual to decadal variability of the large-scale salinity field observed, for instance, in the North-Atlantic Ocean and to provide corrections with realistic error bars. The covariance function used to map reference salinity data at the float profile position was modified in order to minimize the contribution of the oldest reference data to the large-scale salinity field estimate. Mapping error now includes errors in the large-scale field estimates and fit error now takes into account the lateral dependence between climatological profiles. Finally, we used the modified OW method to check the consistency of the Argo salinity dataset available in delayed mode in the North-Atlantic Ocean. Overall, salinity corrections need to be reconsidered for 4.5% of the floats.
author2 Laboratoire d'Océanographie Physique et Spatiale (LOPS)
Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)
Institut Universitaire Européen de la Mer (IUEM)
Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)
format Article in Journal/Newspaper
author Cabanes, Cécile
Thierry, Virginie
Lagadec, Catherine
author_facet Cabanes, Cécile
Thierry, Virginie
Lagadec, Catherine
author_sort Cabanes, Cécile
title Improvement of bias detection in Argo float conductivity sensors and its application in the North Atlantic
title_short Improvement of bias detection in Argo float conductivity sensors and its application in the North Atlantic
title_full Improvement of bias detection in Argo float conductivity sensors and its application in the North Atlantic
title_fullStr Improvement of bias detection in Argo float conductivity sensors and its application in the North Atlantic
title_full_unstemmed Improvement of bias detection in Argo float conductivity sensors and its application in the North Atlantic
title_sort improvement of bias detection in argo float conductivity sensors and its application in the north atlantic
publisher HAL CCSD
publishDate 2016
url https://insu.hal.science/insu-03682700
https://insu.hal.science/insu-03682700/document
https://insu.hal.science/insu-03682700/file/44431.pdf
https://doi.org/10.1016/j.dsr.2016.05.007
genre North Atlantic
genre_facet North Atlantic
op_source ISSN: 0967-0637
Deep Sea Research Part I: Oceanographic Research Papers
https://insu.hal.science/insu-03682700
Deep Sea Research Part I: Oceanographic Research Papers, 2016, 114, pp.128-136. ⟨10.1016/j.dsr.2016.05.007⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1016/j.dsr.2016.05.007
insu-03682700
https://insu.hal.science/insu-03682700
https://insu.hal.science/insu-03682700/document
https://insu.hal.science/insu-03682700/file/44431.pdf
BIBCODE: 2016DSRI.114.128C
doi:10.1016/j.dsr.2016.05.007
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.1016/j.dsr.2016.05.007
container_title Deep Sea Research Part I: Oceanographic Research Papers
container_volume 114
container_start_page 128
op_container_end_page 136
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