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...
Published in: | Deep Sea Research Part I: Oceanographic Research Papers |
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ftinsu: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 ftinsu https://doi.org/10.1016/j.dsr.2016.05.007 2024-03-21T17:06:29Z 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 Institut national des sciences de l'Univers: HAL-INSU Deep Sea Research Part I: Oceanographic Research Papers 114 128 136 |
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Open Polar |
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Institut national des sciences de l'Univers: HAL-INSU |
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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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