CORRECTION article

Front. Mar. Sci., 08 May 2024

Sec. Ocean Observation

Volume 11 - 2024 | https://doi.org/10.3389/fmars.2024.1419611

Corrigendum: Reconstructing global chlorophyll-a variations using a non-linear statistical approach

  • 1. LOPS, IUEM, IRD, Ifremer, CNRS, Univ. Brest, Brest, France

  • 2. EIO, IRD, Ifremer, UPF and ILM, Tahiti, French Polynesia

  • 3. LOCEAN-IPSL, Sorbonne Universités/UPMC-CNRS-IRD-MNHN, Paris, France

  • 4. ENTROPIE, IRD, Univ. de la Réunion, CNRS, Univ. de la Nouvelle Calédonie, Ifremer, Noumea, New Caledonia

  • 5. Laboratoire d’Océanographie de Villefranche, CNRS and Sorbonne Université, Villefranche-sur-Mer, France

  • 6. Georgia Institute of Technology, Atlanta, GA, United States

  • 7. IMT Atlantique, Lab-STICC, UMR CNRS 6285, Brest, France

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Error in Author List

In the published article, there was an error in the author list, and author Clément Fontana was erroneously included as a co-author as well as in the Author Contributions section.

The corrected author list appears below.

Elodie Martinez1,2*, Thomas Gorgues1, Matthieu Lengaigne3†, Raphaëlle Sauzède2†, Christophe Menkes4, Julia Uitz5, Emanuele Di Lorenzo6 and Ronan Fablet7

The corrected Author Contributions section appears below.

EM led the project, analyzed the results, and wrote the first draft of the manuscript. TG provided the physical model outputs. TG and ML provided support in the analysis and the writing of the manuscript. RF provided the feedbacks on the statistical approach. All the authors contributed to the development of the manuscript and provided the feedbacks throughout its many stages of preparation.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Statements

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Summary

Keywords

machine learning, phytoplankton variability, satellite ocean color, decadal variability, global scale

Citation

Martinez E, Gorgues T, Lengaigne M, Sauzède R, Menkes C, Uitz J, Di Lorenzo E and Fablet R (2024) Corrigendum: Reconstructing global chlorophyll-a variations using a non-linear statistical approach. Front. Mar. Sci. 11:1419611. doi: 10.3389/fmars.2024.1419611

Received

18 April 2024

Accepted

23 April 2024

Published

08 May 2024

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

11 - 2024

Updates

Copyright

*Correspondence: Elodie Martinez,

†Present address: Matthieu Lengaigne, MARBEC, University of Montpellier, CNRS, IFREMER, IRD, Sete, France Raphaëlle Sauzède, CNRS-INSU, Institut de la Mer de Villefranche, Sorbonne Universités, Villefranche-sur-Mer, France

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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