Articles | Volume 17, issue 7
https://doi.org/10.5194/essd-17-3679-2025
https://doi.org/10.5194/essd-17-3679-2025
Data description paper
 | 
30 Jul 2025
Data description paper |  | 30 Jul 2025

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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2025-17', Edward Boyle, 18 Mar 2025
    • AC2: 'Reply on RC1', Arianna Olivelli, 15 Apr 2025
  • RC2: 'Comment on essd-2025-17', Anonymous Referee #2, 22 Mar 2025
    • AC1: 'Reply on RC2', Arianna Olivelli, 15 Apr 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Arianna Olivelli on behalf of the Authors (16 Apr 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (24 Apr 2025) by Sabine Schmidt
AR by Arianna Olivelli on behalf of the Authors (29 Apr 2025)
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Short summary
In this study, we use machine learning models to produce the first global maps of Pb concentrations and isotope compositions in the ocean. In line with observations, we find that (i) the surface Indian Ocean has the highest levels of pollution, (ii) pollution from previous decades is sinking in the North Atlantic and Pacific oceans, and (iii) waters carrying Pb pollution are spreading from the Southern Ocean throughout the Southern Hemisphere at intermediate depths.
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