Articles | Volume 22, issue 18
https://doi.org/10.5194/bg-22-4705-2025
https://doi.org/10.5194/bg-22-4705-2025
Research article
 | 
17 Sep 2025
Research article |  | 17 Sep 2025

On the challenges of retrieving phytoplankton properties from remote-sensing observations

Jason Xavier Prochaska and Robert J. Frouin

Model code and software

BING: Bayesian INferences with Gordon coefficients J. X. Prochaska https://doi.org/10.5281/zenodo.13292700

ocean-colour/ocpy: First DOI; coincides with publication of the BING paper (v1.0) J. X. Prochaska and P. Gray https://doi.org/10.5281/zenodo.17088615

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Short summary
Satellites monitor ocean health globally, but we discovered a fundamental physics limitation when measuring phytoplankton – tiny plants essential to marine ecosystems. Our analysis shows that even advanced satellites cannot reliably distinguish phytoplankton from other ocean components. This challenges decades of research and suggests that existing measurements have greater uncertainties than realized. Combining satellite data with direct ocean sampling is needed for better monitoring of these vital organisms.
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