The CORA 5.2 dataset for global in situ temperature and salinity measurements: data description and validation
International audience We present the Copernicus in situ ocean dataset of temperature and salinity (version 5.2). Ocean subsurface sampling varied widely from 1950 to 2017 as a result of changes in instrument technology and the development of in situ observational networks (in particular, tropical m...
Published in: | Ocean Science |
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Main Authors: | , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2019
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Online Access: | https://hal.sorbonne-universite.fr/hal-02417887 https://hal.sorbonne-universite.fr/hal-02417887/document https://hal.sorbonne-universite.fr/hal-02417887/file/os-15-1601-2019.pdf https://doi.org/10.5194/os-15-1601-2019 |
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École Polytechnique, Université Paris-Saclay: HAL |
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ftepunivpsaclay |
language |
English |
topic |
[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
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[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography Szekely, Tanguy Gourrion, Jérôme Pouliquen, Sylvie Reverdin, Gilles The CORA 5.2 dataset for global in situ temperature and salinity measurements: data description and validation |
topic_facet |
[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
description |
International audience We present the Copernicus in situ ocean dataset of temperature and salinity (version 5.2). Ocean subsurface sampling varied widely from 1950 to 2017 as a result of changes in instrument technology and the development of in situ observational networks (in particular, tropical moorings for the Argo program). Thus, global ocean temperature data coverage on an annual basis grew from 10 % in 1950 (30 % for the North Atlantic basin) to 25 % in 2000 (60 % for the North Atlantic basin) and reached a plateau exceeding 80 % (95 % for the North Atlantic Ocean) after the deployment of the Argo program. The average depth reached by the profiles also increased from 1950 to 2017. The validation framework is presented, and an objective analysis-based method is developed to assess the quality of the dataset validation process. Objective analyses (OAs) of the ocean variability are calculated without taking into account the data quality flags (raw dataset OA), with the near-real-time quality flags (NRT dataset OA), and with the delayed-time-mode quality flags (CORA dataset OA). The comparison of the objective analysis variability shows that the near-real-time dataset managed to detect and to flag most of the large measurement errors, reducing the analysis error bar compared to the raw dataset error bar. It also shows that the ocean variability of the delayed-time-mode validated dataset is almost exempt from random-error-induced variability. |
author2 |
Société Coopérative OceanScope Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) Processus et interactions de fine échelle océanique (PROTEO) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) |
format |
Article in Journal/Newspaper |
author |
Szekely, Tanguy Gourrion, Jérôme Pouliquen, Sylvie Reverdin, Gilles |
author_facet |
Szekely, Tanguy Gourrion, Jérôme Pouliquen, Sylvie Reverdin, Gilles |
author_sort |
Szekely, Tanguy |
title |
The CORA 5.2 dataset for global in situ temperature and salinity measurements: data description and validation |
title_short |
The CORA 5.2 dataset for global in situ temperature and salinity measurements: data description and validation |
title_full |
The CORA 5.2 dataset for global in situ temperature and salinity measurements: data description and validation |
title_fullStr |
The CORA 5.2 dataset for global in situ temperature and salinity measurements: data description and validation |
title_full_unstemmed |
The CORA 5.2 dataset for global in situ temperature and salinity measurements: data description and validation |
title_sort |
cora 5.2 dataset for global in situ temperature and salinity measurements: data description and validation |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.sorbonne-universite.fr/hal-02417887 https://hal.sorbonne-universite.fr/hal-02417887/document https://hal.sorbonne-universite.fr/hal-02417887/file/os-15-1601-2019.pdf https://doi.org/10.5194/os-15-1601-2019 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
ISSN: 1812-0784 EISSN: 1812-0792 Ocean Science https://hal.sorbonne-universite.fr/hal-02417887 Ocean Science, 2019, 15 (6), pp.1601-1614. ⟨10.5194/os-15-1601-2019⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/os-15-1601-2019 hal-02417887 https://hal.sorbonne-universite.fr/hal-02417887 https://hal.sorbonne-universite.fr/hal-02417887/document https://hal.sorbonne-universite.fr/hal-02417887/file/os-15-1601-2019.pdf doi:10.5194/os-15-1601-2019 WOS: 000500962400001 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/os-15-1601-2019 |
container_title |
Ocean Science |
container_volume |
15 |
container_issue |
6 |
container_start_page |
1601 |
op_container_end_page |
1614 |
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1799484582940114944 |
spelling |
ftepunivpsaclay:oai:HAL:hal-02417887v1 2024-05-19T07:44:44+00:00 The CORA 5.2 dataset for global in situ temperature and salinity measurements: data description and validation Szekely, Tanguy Gourrion, Jérôme Pouliquen, Sylvie Reverdin, Gilles Société Coopérative OceanScope Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) Processus et interactions de fine échelle océanique (PROTEO) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) 2019 https://hal.sorbonne-universite.fr/hal-02417887 https://hal.sorbonne-universite.fr/hal-02417887/document https://hal.sorbonne-universite.fr/hal-02417887/file/os-15-1601-2019.pdf https://doi.org/10.5194/os-15-1601-2019 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/os-15-1601-2019 hal-02417887 https://hal.sorbonne-universite.fr/hal-02417887 https://hal.sorbonne-universite.fr/hal-02417887/document https://hal.sorbonne-universite.fr/hal-02417887/file/os-15-1601-2019.pdf doi:10.5194/os-15-1601-2019 WOS: 000500962400001 info:eu-repo/semantics/OpenAccess ISSN: 1812-0784 EISSN: 1812-0792 Ocean Science https://hal.sorbonne-universite.fr/hal-02417887 Ocean Science, 2019, 15 (6), pp.1601-1614. ⟨10.5194/os-15-1601-2019⟩ [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography info:eu-repo/semantics/article Journal articles 2019 ftepunivpsaclay https://doi.org/10.5194/os-15-1601-2019 2024-04-25T00:48:38Z International audience We present the Copernicus in situ ocean dataset of temperature and salinity (version 5.2). Ocean subsurface sampling varied widely from 1950 to 2017 as a result of changes in instrument technology and the development of in situ observational networks (in particular, tropical moorings for the Argo program). Thus, global ocean temperature data coverage on an annual basis grew from 10 % in 1950 (30 % for the North Atlantic basin) to 25 % in 2000 (60 % for the North Atlantic basin) and reached a plateau exceeding 80 % (95 % for the North Atlantic Ocean) after the deployment of the Argo program. The average depth reached by the profiles also increased from 1950 to 2017. The validation framework is presented, and an objective analysis-based method is developed to assess the quality of the dataset validation process. Objective analyses (OAs) of the ocean variability are calculated without taking into account the data quality flags (raw dataset OA), with the near-real-time quality flags (NRT dataset OA), and with the delayed-time-mode quality flags (CORA dataset OA). The comparison of the objective analysis variability shows that the near-real-time dataset managed to detect and to flag most of the large measurement errors, reducing the analysis error bar compared to the raw dataset error bar. It also shows that the ocean variability of the delayed-time-mode validated dataset is almost exempt from random-error-induced variability. Article in Journal/Newspaper North Atlantic École Polytechnique, Université Paris-Saclay: HAL Ocean Science 15 6 1601 1614 |