Ocean Science
Ocean Science
OS
Articles | Volume 21, issue 1
Articles | Volume 21, issue 1
https://doi.org/10.5194/os-21-199-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/os-21-199-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 1
Research article
 | 
27 Jan 2025
Research article |  | 27 Jan 2025

Estimating ocean currents from the joint reconstruction of absolute dynamic topography and sea surface temperature through deep learning algorithms

Daniele Ciani, Claudia Fanelli, and Bruno Buongiorno Nardelli

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Cited articles

Abdalla, S., Kolahchi, A. A., Ablain, M., et al.: Altimetry for the future: Building on 25 years of progress, Adv. Space Res., 68, 319–363, https://doi.org/10.1016/j.asr.2021.01.022, 2021. a
Archambault, T., Filoche, A., Charantonis, A., Béréziat, D., and Thiria, S.: Learning sea surface height interpolation from multi-variate simulated satellite observations, J. Adv. Model. Earth Syst., 16, e2023MS004047, https://doi.org/10.1029/2023MS004047, 2024. a, b
Ballarotta, M., Ubelmann, C., Pujol, M.-I., Taburet, G., Fournier, F., Legeais, J.-F., Faugère, Y., Delepoulle, A., Chelton, D., Dibarboure, G., and Picot, N.: On the resolutions of ocean altimetry maps, Ocean Sci., 15, 1091–1109, https://doi.org/10.5194/os-15-1091-2019, 2019. a, b
Ballarotta, M., Ubelmann, C., Veillard, P., Prandi, P., Etienne, H., Mulet, S., Faugère, Y., Dibarboure, G., Morrow, R., and Picot, N.: Improved global sea surface height and current maps from remote sensing and in situ observations, Earth Syst. Sci. Data, 15, 295–315, https://doi.org/10.5194/essd-15-295-2023, 2023. a
Ballarotta, M., Pujol, M.-I., and SL-TAC Team: European Seas Gridded L4 Sea Surface heights and Derived Variables Reprocessed 1993 Ongoing, Copernicus Marine Service [data set], https://doi.org/10.48670/moi-00141, 2024. a
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Ocean surface currents are routinely derived from satellite observations of the sea level, allowing regional- to global-scale synoptic monitoring. In order to overcome the theoretical and instrumental limits of this methodology, we exploit the synergy of multi-sensor satellite observations. We rely on deep learning, physics-informed algorithms to predict ocean currents from sea surface height and sea surface temperature observations. Results are validated by means of in situ measurements. 
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