New global mean dynamic topography CNES-CLS-22 combining drifters, hydrography profiles and high frequency radar data

Jousset, Solène; Mulet, Sandrine; Greiner, Eric; Wilkin, John; Vidar, Lien; Chafik, Léon; Raj, Roshin; Bonaduce, Antonio; Picot, Nicolas; Dibarboure, Gérald

doi:10.5194/essd-18-2285-2026

Articles | Volume 18, issue 3

https://doi.org/10.5194/essd-18-2285-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-2285-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 3

Data review article

|

27 Mar 2026

Data review article |

| 27 Mar 2026

New global mean dynamic topography CNES-CLS-22 combining drifters, hydrography profiles and high frequency radar data

Solène Jousset, Sandrine Mulet, Eric Greiner, John Wilkin, Lien Vidar, Léon Chafik, Roshin Raj, Antonio Bonaduce, Nicolas Picot, and Gérald Dibarboure

Data sets

Combined mean dynamic topography - MDT CNES-CLS22 Solène Jousset https://doi.org/10.24400/527896/a01-2023.003

Short summary

Satellite altimetry has revolutionized ocean observation, making it possible to track sea level with very good spatio-temporal coverage. However, only sea level anomalies are retrieved; to monitor the entire ocean signal, mean dynamic topography (MDT) must be added to these anomalies. In this study, an evaluation of the CNES-CLS22 MDT shows significant improvements in the Arctic. Over the globe, this new solution represents an incremental update to previous CNES-CLS18 MDT.