A synthesis of ocean total alkalinity and dissolved inorganic carbon measurements from 1993 to 2022: the SNAPO-CO2-v1 dataset
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Date | 2024-01 | ||||||||||||||||||||
Language | English | ||||||||||||||||||||
Author(s) | Metzl Nicolas1, Fin Jonathan1, 2, Lo Monaco Claire1, Mignon Claude1, Alliouane Samir3, Antoine David3, 4, Bourdin Guillaume5, Boutin Jacqueline1, Bozec Yann6, Conan Pascal7, 8, Coppola Laurent3, 8, Diaz Frédéric, Douville Eric9, Durrieu De Madron Xavier10, Gattuso Jean-Pierre3, 11, Gazeau Frédéric3, Golbol Melek8, 12, Lansard Bruno9, Lefèvre Dominique13, Lefèvre Nathalie1, Lombard Fabien3, 14, Louanchi Férial15, Merlivat Liliane1, Olivier Léa1, 16, Petrenko Anne13, Petton Sébastien17, Pujo-Pay Mireille7, Rabouille Christophe9, Reverdin Gilles1, Ridame Céline1, Tribollet Aline1, Vellucci Vincenzo8, 12, Wagener Thibaut13, Wimart-Rousseau Cathy13, 18 | ||||||||||||||||||||
Affiliation(s) | 1 : Laboratoire LOCEAN/IPSL, Sorbonne Université-CNRS-IRD-MNHN, Paris, 75005, France 2 : OSU Ecce Terra, Sorbonne Université-CNRS, Paris, 75005, France 3 : Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, LOV, F-06230 Villefranche-sur- Mer, France 4 : Remote Sensing and Satellite Research Group, School of Earth and Planetary Sciences, Curtin University, Perth WA 6845, Australia 5 : School of Marine Sciences, University of Maine, Orono, USA 6 : Station Biologique de Roscoff, UMR 7144 – EDYCO-CHIMAR, Roscoff, France 7 : Sorbonne Université, CNRS, Laboratoire d’Océanographie Microbienne, LOMIC, F-66650 Banyuls-sur-Mer, France 8 : Sorbonne Université, CNRS, OSU Station Marines, STAMAR, Paris, F-75006, France 9 : Laboratoire des Sciences d C i at et de ’ nvironne ent, LSC I SL, UMR C - CNRS-U S , Université Paris-Saclay, 91191 Gif-sur-Yvette, France 10 : CEFREM, CNRS-Université de Perpignan Via Domitia, 52 Avenue Paul Alduy, 66860 Perpignan, France 11 : Institute for Sustainable Development and International Relations, Sciences Po, 27 rue Saint Guillaume, F- 75007 Paris, France 12 : Sorbonne Université, CNRS, Institut de la Mer de Villefranche, IMEV, Villefranche-sur-Mer, F-06230, France 13 : Aix Marseille Univ, Université de Toulon, CNRS, IRD, MIO, Marseille, France 14 : Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara GOSEE, 75000, Paris, France 15 : CVRM: Laboratoire de Conservation et de Valorisation des Ressources Marines, Ecole Nationale Supérieure des Sciences de la Mer et de l'Aménagement du Littoral (ENSSMAL), Station de recherche de Sidi Fredj, Algeria 16 : Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 27515 Bremerhaven, Germany 17 : Ifremer, Univ Brest, CNRS, IRD, LEMAR, F-29840 Argenton, France 18 : Marine Biogeochemistry, GEOMAR Helmholtz Centre for Ocean Research Kiel, 24105 Kiel, Germany |
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Source | Earth System Science Data (1866-3508) (Copernicus GmbH), 2024-01 , Vol. 16 , N. 1 , P. 89-120 | ||||||||||||||||||||
DOI | 10.5194/essd-16-89-2024 | ||||||||||||||||||||
Abstract | Total alkalinity (AT) and total dissolved inorganic carbon (CT) in the oceans are important properties to understand the ocean carbon cycle and its link with climate change (ocean carbon sinks and sources) or global change (ocean acidification). We present a data-base of more than 44 400 AT and CT observations in various ocean regions obtained since 1993 mainly in the frame of French projects. This includes both surface and water columns data acquired in open oceans, coastal zones and in the Mediterranean Sea and either from time-series or punctual cruises. Most AT and CT data in this synthesis were measured from discrete samples using the same closed-cell potentiometric titration calibrated with Certified Reference Material, with an overall accuracy of ± 4 µmol kg-1 for both AT and CT. Given the lack of observations in the Indian and Southern Oceans, we added sea surface underway AT and CT data obtained in 1998–2018 in the frame of OISO cruises and in 2019 during the CLIM-EPARSES cruise measured onboard using the same technique. Separate datasets for the global ocean, and for the Mediterranean Sea are provided in a single format (https://doi.org/10.17882/95414, Metzl et al., 2023) that offers a direct use for regional or global purposes, e.g. AT/Salinity relationships, long-term CT estimates, constraint and validation of diagnostics CT-AT reconstructed fields or ocean carbon and coupled climate/carbon models simulations, as well as data derived from BG-ARGO floats. When associated with other properties, these data can also be used to calculate pH, fugacity of CO2 (fCO2) and other carbon systems properties to derive ocean acidification rates or air-sea CO2 fluxes. |
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