Biogeosciences
Biogeosciences
BG
Articles | Volume 23, issue 19
Articles | Volume 23, issue 19
https://doi.org/10.5194/bg-23-6879-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-23-6879-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 19
Research article
 | 
06 Oct 2026
Research article |  | 06 Oct 2026

Solving calibration and reanalysis challenges of ocean biogeochemical dynamics with neural schemes: a 1D vertical model case-study

Jean Littaye, Laurent Memery, and Ronan Fablet

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Short summary
A realistic representation of ocean carbon exchanges through a biogeochemical (BGC) model depends heavily on its parameterisation. However, this calibration is often hindered by an inaccurate representation of small-scale ocean physical dynamics, which are common in physical reanalysis. Here, a novel learning-based method enables a robust estimation of BGC states and parameters, and correction of physical forcing, despite physical forcing uncertainties and sparse observations.
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