Ocean Science
Ocean Science
OS
Articles | Volume 21, issue 5
Articles | Volume 21, issue 5
https://doi.org/10.5194/os-21-2579-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-21-2579-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 5
Research article
 | 
24 Oct 2025
Research article |  | 24 Oct 2025

On the global reconstruction of ocean interior variables: a feasibility data-driven study with simulated surface and water column observations

Aina Garcia-Espriu, Cristina González-Haro, and Fernando Aguilar-Gómez

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Short summary
Ocean measurements currently rely on buoys for depth data and satellites for surface observations. We investigated combining these using data-driven approaches to reconstruct full 4D ocean profiles. Using an ocean model as ground truth, we simulated satellite surface data and ARGO profiles and then applied machine learning to predict complete temperature and salinity profiles. Results showed accurate predictions that matched simulation data and captured seasonal patterns.
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