Articles | Volume 15, issue 2
https://doi.org/10.5194/essd-15-921-2023
https://doi.org/10.5194/essd-15-921-2023
Data description paper
 | 
27 Feb 2023
Data description paper |  | 27 Feb 2023

OceanSODA-MDB: a standardised surface ocean carbonate system dataset for model–data intercomparisons

Peter Edward Land, Helen S. Findlay, Jamie D. Shutler, Jean-Francois Piolle, Richard Sims, Hannah Green, Vassilis Kitidis, Alexander Polukhin, and Irina I. Pipko

Related authors

OceanSODA-UNEXE: a multi-year gridded Amazon and Congo River outflow surface ocean carbonate system dataset
Richard P. Sims, Thomas M. Holding, Peter E. Land, Jean-Francois Piolle, Hannah L. Green, and Jamie D. Shutler
Earth Syst. Sci. Data, 15, 2499–2516, https://doi.org/10.5194/essd-15-2499-2023,https://doi.org/10.5194/essd-15-2499-2023, 2023
Short summary
The FluxEngine air–sea gas flux toolbox: simplified interface and extensions for in situ analyses and multiple sparingly soluble gases
Thomas Holding, Ian G. Ashton, Jamie D. Shutler, Peter E. Land, Philip D. Nightingale, Andrew P. Rees, Ian Brown, Jean-Francois Piolle, Annette Kock, Hermann W. Bange, David K. Woolf, Lonneke Goddijn-Murphy, Ryan Pereira, Frederic Paul, Fanny Girard-Ardhuin, Bertrand Chapron, Gregor Rehder, Fabrice Ardhuin, and Craig J. Donlon
Ocean Sci., 15, 1707–1728, https://doi.org/10.5194/os-15-1707-2019,https://doi.org/10.5194/os-15-1707-2019, 2019
Short summary
The OceanFlux Greenhouse Gases methodology for deriving a sea surface climatology of CO2 fugacity in support of air–sea gas flux studies
L. M. Goddijn-Murphy, D. K. Woolf, P. E. Land, J. D. Shutler, and C. Donlon
Ocean Sci., 11, 519–541, https://doi.org/10.5194/os-11-519-2015,https://doi.org/10.5194/os-11-519-2015, 2015
Short summary
Climate change impacts on sea–air fluxes of CO2 in three Arctic seas: a sensitivity study using Earth observation
P. E. Land, J. D. Shutler, R. D. Cowling, D. K. Woolf, P. Walker, H. S. Findlay, R. C. Upstill-Goddard, and C. J. Donlon
Biogeosciences, 10, 8109–8128, https://doi.org/10.5194/bg-10-8109-2013,https://doi.org/10.5194/bg-10-8109-2013, 2013

Related subject area

Domain: ESSD – Ocean | Subject: Chemical oceanography
Tracer-based Rapid Anthropogenic Carbon Estimation (TRACE)
Brendan R. Carter, Jörg Schwinger, Rolf Sonnerup, Andrea J. Fassbender, Jonathan D. Sharp, Larissa M. Dias, and Daniel E. Sandborn
Earth Syst. Sci. Data, 17, 3073–3088, https://doi.org/10.5194/essd-17-3073-2025,https://doi.org/10.5194/essd-17-3073-2025, 2025
Short summary
A continual-learning-based multilayer perceptron for improved reconstruction of three-dimensional nitrate concentrations
Xiang Yu, Huadong Guo, Jiahua Zhang, Yi Ma, Xiaopeng Wang, Guangsheng Liu, Mingming Xing, Nuo Xu, and Ayalkibet M. Seka
Earth Syst. Sci. Data, 17, 2735–2759, https://doi.org/10.5194/essd-17-2735-2025,https://doi.org/10.5194/essd-17-2735-2025, 2025
Short summary
An updated synthesis of ocean total alkalinity and dissolved inorganic carbon measurements from 1993 to 2023: the SNAPO-CO2-v2 dataset
Nicolas Metzl, Jonathan Fin, Claire Lo Monaco, Claude Mignon, Samir Alliouane, Bruno Bombled, Jacqueline Boutin, Yann Bozec, Steeve Comeau, Pascal Conan, Laurent Coppola, Pascale Cuet, Eva Ferreira, Jean-Pierre Gattuso, Frédéric Gazeau, Catherine Goyet, Emilie Grossteffan, Bruno Lansard, Dominique Lefèvre, Nathalie Lefèvre, Coraline Leseurre, Sébastien Petton, Mireille Pujo-Pay, Christophe Rabouille, Gilles Reverdin, Céline Ridame, Peggy Rimmelin-Maury, Jean-François Ternon, Franck Touratier, Aline Tribollet, Thibaut Wagener, and Cathy Wimart-Rousseau
Earth Syst. Sci. Data, 17, 1075–1100, https://doi.org/10.5194/essd-17-1075-2025,https://doi.org/10.5194/essd-17-1075-2025, 2025
Short summary
A global monthly 3D field of seawater pH over 3 decades: a machine learning approach
Guorong Zhong, Xuegang Li, Jinming Song, Baoxiao Qu, Fan Wang, Yanjun Wang, Bin Zhang, Lijing Cheng, Jun Ma, Huamao Yuan, Liqin Duan, Ning Li, Qidong Wang, Jianwei Xing, and Jiajia Dai
Earth Syst. Sci. Data, 17, 719–740, https://doi.org/10.5194/essd-17-719-2025,https://doi.org/10.5194/essd-17-719-2025, 2025
Short summary
Mapping the global distribution of lead and its isotopes in seawater with explainable machine learning
Arianna Olivelli, Rossella Arcucci, Mark Rehkämper, and Tina van de Flierdt
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-17,https://doi.org/10.5194/essd-2025-17, 2025
Revised manuscript accepted for ESSD
Short summary

Cited articles

AMAP: AMAP Assessment 2018: Arctic Ocean Acidification, viii + 99 pp-viii + 99 pp., https://doi.org/10.1016/j.techfore.2013.08.036, 2018. 
Argo: Argo float data and metadata from Global Data Assembly Centre (Argo GDAC), SEANOE, https://doi.org/10.17882/42182, [data set], last access: 7 January 2021. 
Banzon, V., Smith, T. M., Chin, T. M., Liu, C., and Hankins, W.: A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies, Earth Syst. Sci. Data, 8, 165–176, https://doi.org/10.5194/essd-8-165-2016, 2016. 
Bates, N. R., Astor, Y. M., Church, M. J., Currie, K., Dore, J. E., González-Dávila, M., Lorenzoni, L., Muller-Karger, F., Olafsson, J., and Santana-Casiano, J. M.: A time-series view of changing surface ocean chemistry due to ocean uptake of anthropogenic CO2 and ocean acidification, Oceanography, 27, 126–141, https://doi.org/10.5670/oceanog.2014.16, 2014. 
Download
Short summary
Measurements of the ocean’s carbonate system (e.g. CO2 and pH) have increased greatly in recent years, resulting in a need to combine these data with satellite measurements and model results, so they can be used to test predictions of how the ocean reacts to changes such as absorption of the CO2 emitted by humans. We show a method of combining data into regions of interest (100 km circles over a 10 d period) and apply it globally to produce a harmonised and easy-to-use data archive.
Share
Altmetrics
Final-revised paper
Preprint