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Frontiers in Marine Science
(May 2024)
Corrigendum: Reconstructing global chlorophyll-a variations using a non-linear statistical approach
Elodie Martinez,
Elodie Martinez,
Thomas Gorgues,
Matthieu Lengaigne,
Raphaëlle Sauzède,
Christophe Menkes,
Julia Uitz,
Emanuele Di Lorenzo,
Ronan Fablet
Affiliations
Elodie Martinez
LOPS, IUEM, IRD, Ifremer, CNRS, Univ. Brest, Brest, France
Elodie Martinez
EIO, IRD, Ifremer, UPF and ILM, Tahiti, French Polynesia
Thomas Gorgues
LOPS, IUEM, IRD, Ifremer, CNRS, Univ. Brest, Brest, France
Matthieu Lengaigne
LOCEAN-IPSL, Sorbonne Universités/UPMC-CNRS-IRD-MNHN, Paris, France
Raphaëlle Sauzède
EIO, IRD, Ifremer, UPF and ILM, Tahiti, French Polynesia
Christophe Menkes
ENTROPIE, IRD, Univ. de la Réunion, CNRS, Univ. de la Nouvelle Calédonie, Ifremer, Noumea, New Caledonia
Julia Uitz
Laboratoire d’Océanographie de Villefranche, CNRS and Sorbonne Université, Villefranche-sur-Mer, France
Emanuele Di Lorenzo
Georgia Institute of Technology, Atlanta, GA, United States
Ronan Fablet
IMT Atlantique, Lab-STICC, UMR CNRS 6285, Brest, France
DOI
https://doi.org/10.3389/fmars.2024.1419611
Journal volume & issue
Vol. 11
Abstract
Read online
No abstracts available.
Keywords
machine learning
phytoplankton variability
satellite ocean color
decadal variability
global scale
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