Hostname: page-component-68c7f8b79f-tw422 Total loading time: 0 Render date: 2026-01-18T01:26:22.736Z Has data issue: false hasContentIssue false
  • English
  • Français

Ensemble-based 4DVarNet uncertainty quantification for the reconstruction of sea surface height dynamics – ERRATUM

Published online by Cambridge University Press:  23 August 2023

Maxime Beauchamp Open the ORCID record for Maxime Beauchamp [Opens in a new window] ,
Quentin Febvre  and
Ronan Fablet

Abstract

An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.

Information

Type
Erratum
Information
Environmental Data Science , Volume 2 , 2023 , e33
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press

Cambridge University Press and Assessment would like to apologise for a spelling error in the title of the above article (Beauchamp et al., Reference Beauchamp, Febvre and Fablet2023). The correct title is ‘Ensemble-based 4DVarNet uncertainty quantification for the reconstruction of sea surface height dynamics’. The article has now been corrected.

References

Beauchamp, M, Febvre, Q and Fablet, R (2023) “Ensemble-based 4DVarNet uncertainty quantification for the reconstruction of sea surface height dynamics,” Environmental Data Science. Cambridge University Press, 2, p. e18. doi: 10.1017/eds.2023.19CrossRefGoogle Scholar