The CISE-LOCEAN seawater isotopic database (1998-2021)

• Published in: Earth System Science Data
• Main Authors: Reverdin, Gilles, Waelbroeck, Claire, Pierre, Catherine, Akhoudas, Camille, Aloisi, Giovanni, Benetti, Marion, Bourlès, Bernard, Danielsen, Magnus, Demange, Jérôme, Diverrès, Denis, Gascard, Jean-Claude, Houssais, Marie-Noëlle, Le Goff, Hervé, Lherminier, Pascale, Lo Monaco, Claire, Mercier, Herlé, Metzl, Nicolas, Morisset, Simon, Naamar, Aïcha, Reynaud, Thierry, Sallée, Jean-Baptiste, Thierry, Virginie, Hartman, Susan E., Mawji, Edward W., Olafsdottir, Solveig, Kanzow, Torsten, Velo, Anton, Voelker, Antje, Yashayaev, Igor, Haumann, F. Alexander, Leng, Melanie J., Arrowsmith, Carol, Meredith, Michael
• Other Authors: 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 (MFRI), 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 de Investigaciones Marinas de Vigo, Instituto de Investigaciones Marinas, Instituto Português de Investigação do Mar e da Atmosfera (IPMA), Centro de Ciências do Mar Faro (CCMAR), Universidade do Algarve (UAlg), Bedford Institute of Oceanography, Atmospheric and Oceanic Sciences Program Princeton (AOS Program), NOAA Geophysical Fluid Dynamics Laboratory (GFDL), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA)-Princeton University, British Geological Survey (BGS), British Antarctic Survey (BAS), Natural Environment Research Council (NERC), LEFE/INSU LASSO
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2022
• Subjects: [SDU]Sciences of the Universe [physics]; [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography; Indian; North Atlantic
• Online Access: https://insu.hal.science/insu-03746451; https://insu.hal.science/insu-03746451/document; https://insu.hal.science/insu-03746451/file/essd-14-2721-2022.pdf; https://doi.org/10.5194/essd-14-2721-2022

International audience The characteristics of the CISE-LOCEAN seawater isotope dataset (δ 18 O, δ 2 H, referred to as δD) are presented (https://doi.org/10.17882/71186; Waterisotopes-CISE-LOCEAN, 2021). This dataset covers the time period from 1998 to 2021 and currently includes close to 8000 data entries, all with δ 18 O, three-quarters of them also with δD, associated with a date stamp, space stamp, and usually a salinity measurement. Until 2010, samples were analyzed by isotopic ratio mass spectrometry and since then mostly by cavity ring-down spectroscopy (CRDS). Instrumental uncertainty in this dataset is usually as low as 0.03 ‰ for δ 18 O and 0.15 ‰ for δD. An additional uncertainty is related to the isotopic composition of the in-house standards that are used to convert data to the Vienna Standard Mean Ocean Water (VSMOW) scale. Different comparisons suggest that since 2010 the latter have remained within at most 0.03 ‰ for δ 18 O and 0.20 ‰ for δD. Therefore, combining the two uncertainties suggests a standard deviation of at most 0.05 ‰ for δ 18 O and 0.25 ‰ for δD. 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 (δD − 8×δ 18 O). This adjustment adds an uncertainty in the respective data of roughly 0.05 ‰ for δ 18 O and 0.10 ‰ for 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 less than 0.03 ‰ for δ 18 O and 0.15 ‰ for δD. However, 18 comparisons with duplicate seawater data analyzed in other laboratories or with other datasets in the intermediate and deep ...