Articles | Volume 23, issue 13
https://doi.org/10.5194/bg-23-4561-2026
https://doi.org/10.5194/bg-23-4561-2026
Research article
 | 
06 Jul 2026
Research article |  | 06 Jul 2026

Evaluating a multispectral miniaturised fluorometer with three excitation channels for predicting phytoplankton community structure indices from BGC-Argo float observations

Flavien Petit, Julia Uitz, Louison Dufour, Collin Roesler, Frédéric Partensky, Laurence Garczarek, Priscillia Gourvil, Céline Dimier, Melek Golbol, Vincenzo Vellucci, David Antoine, Christophe Penkerc'h, Vincent Taillandier, and Hervé Claustre

Data sets

Flavi1P/Multispectral-Fluorescence: Multispectral fluorescence for phytoplankton community detection from floats (1.0) Flavien Petit https://doi.org/10.5281/zenodo.20762574

Model code and software

Flavi1P/Multispectral-Fluorescence: Multispectral fluorescence for phytoplankton community detection from floats (1.0) Flavien Petit https://doi.org/10.5281/zenodo.20762574

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Short summary
We studied whether ocean sensors can detect changes in microscopic algae communities that influence marine ecosystems and carbon uptake. We combined laboratory experiments and ocean observations to test sensors that measure how algae emit light at different colors when illuminated. We found that combining these light measurements with other optical signals improves the identification of broad community types. This approach could help future ocean floats better track ecosystem change globally.
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