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The CISE-LOCEAN sea water isotopic database (1998–2021)

Authors :
Gilles Reverdin
Claire Waelbroeck
Catherine Pierre
Camille Akhoudas
Giovanni Aloisi
Marion Benetti
Bernard Bourlès
Magnus Danielsen
Jérôme Demange
Denis Diverrès
Jean-Claude Gascard
Marie-Noëlle Houssais
Hervé Le Goff
Pascale Lherminier
Claire Lo Monaco
Herlé Mercier
Nicolas Metzl
Simon Morisset
Aïcha Naamar
Thierry Reynaud
Jean-Baptiste Sallée
Virginie Thierry
Susan E. Hartman
Edward M. Mawji
Solveig Olafsdottir
Torsten Kanzow
Antje Voelker
Igor Yashayaev
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)
Cycles biogéochimiques marins : processus et perturbations (CYBIOM)
Institut de Physique du Globe de Paris (IPGP (UMR_7154))
Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)
Instrumentation, Moyens analytiques, Observatoires en Géophysique et Océanographie (IMAGO)
Marine and Freshwater Research Institute
Variabilité de l'Océan et de la Glace de mer (VOG)
Développement Instrumental et Techniques Marines (DITM)
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)
Amundsen Science, Quebec
National Oceanography Centre [Southampton] (NOC)
University of Southampton
Center for Marine Environmental Sciences [Bremen] (MARUM)
Universität Bremen
Instituto Português de Investigação do Mar e da Atmosfera (IPMA)
Centro de Ciências do Mar [Faro] (CCMAR)
Universidade do Algarve (UAlg)
Institut océanographique Bedford - Bedford Oceanographic Institute [Dartmouth, Canada] (IOB)
ANR-13-BS06-0014,GEOVIDE,GEOVIDE, Une étude internationale GEOTRACES le long de la section OVIDE en Atlantique Nord et en Mer du Labrador(2013)
European Project: 637770,H2020,ERC-2014-STG,WAPITI(2015)
Source :
Earth System Science Data, Earth System Science Data, 2022, 14, pp.2721-2735. ⟨10.5194/essd-2022-34⟩
Publication Year :
2022
Publisher :
HAL CCSD, 2022.

Abstract

The characteristics of the CISE-LOCEAN sea water isotope data set (δ18O, δ2H, later designed as δD) are presented. This data set covers the time period from 1998 to 2021 and currently includes close to 8000 data entries, all with δ18O, three quarters of them also with δD, associated with a time and space stamp and usually a salinity measurement. Until 2010, samples were analysed by isotopic ratio mass spectrometry, and since then mostly by cavity ring-down spectroscopy (CRDS). Instrumental uncertainty on individual data in this dataset is usually with a standard deviation as low as 0.03 / 0.15 ‰ for δ18O and δD. An additional uncertainty is related to uncertain isotopic composition of the in-house standards that are used to convert daily data into the VSMOW scale. Different comparisons suggest that since 2010 the latter have remained within at most 0.03 / 0.20 ‰ for δ18O and δD. Therefore, combining the two suggests a standard deviation of at most 0.05 / 0.25 ‰ for δ18O / δD. Finally, for some samples, we find that there has been evaporation during collection and storage, requiring adjustment of the isotopic data produced by CRDS, based on d-excess. This adds an uncertainty on the adjusted data of roughly 0.05 / 0.10 ‰ on δ18O and δD. This issue of conservation of samples is certainly a strong source of quality loss for parts of the database, and ‘small’ effects may have remained undetected. The internal consistency of the database can be tested for subsets of the dataset, when time series can be obtained (such as in the southern Indian Ocean or North Atlantic subpolar gyre). These comparisons suggest that the overall uncertainty of the spatially (for a cruise) or temporally (over a year) averaged data is on the order of or less than 0.03 / 0.15 ‰ for δ18O / δD. On the other hand, 17 comparisons with duplicate sea water data analysed in other laboratories or with other data sets in deep regions suggest a larger scatter. When averaging the 17 comparisons done for δ18O, we find a difference close to the adjustment applied at LOCEAN to convert salty water data from the activity to the concentration scale. Such a difference is expected, but the scatter found suggests that care is needed when merging datasets from different laboratories. Examples of time series in the surface North Atlantic subpolar gyre illustrate the temporal changes in water isotope composition that can be detected with a carefully validated dataset.

Details

Language :
English
ISSN :
18663508 and 18663516
Database :
OpenAIRE
Journal :
Earth System Science Data, Earth System Science Data, 2022, 14, pp.2721-2735. ⟨10.5194/essd-2022-34⟩
Accession number :
edsair.doi.dedup.....d0894b06416bf31ee1ddaa911e6ec662
Full Text :
https://doi.org/10.5194/essd-2022-34⟩