Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 1
Articles | Volume 18, issue 1
https://doi.org/10.5194/essd-18-287-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-287-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 1
Data description paper
 | 
12 Jan 2026
Data description paper |  | 12 Jan 2026

A novel global gridded ocean oxygen product derived from a neural network emulator and in-situ observations

Said Ouala, Oussama Hidaoui, and Zouhair Lachkar

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Short summary
Ocean deoxygenation poses major challenges to marine life and can alter carbon cycling. Direct measurements of dissolved oxygen are sparse, and interpolation methods are needed to study the variability and changes in oxygen content. In this work, we used machine learning to improve estimates of oxygen levels across the global ocean. Our approach produces a new gridded product that captures detailed changes in oxygen over time and space.
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