Articles | Volume 19, issue 16
https://doi.org/10.5194/gmd-19-7589-2026
https://doi.org/10.5194/gmd-19-7589-2026
Development and technical paper
 | 
18 Aug 2026
Development and technical paper |  | 18 Aug 2026

Effects of assimilating phytoplankton carbon in marine ecosystem modelling in NEMO4.0.4-MEDUSA2.0-PDAF2.0

Yumeng Chen, Dale Partridge, and Lars Nerger

Data sets

BICEP/NCEO: Monthly global Phytoplankton Carbon, between 1998-2020 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v5.0 dataset) S. Sathyendranath et al. https://doi.org/10.5285/6a6ccbb8ef2645308a60dc47e9b8b5fb

ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 5.0 Data S. Sathyendranath et al. https://doi.org/10.5285/1dbe7a109c0244aaad713e078fd3059a

Argo float data and metadata from Global Data Assembly Centre (Argo GDAC) Argo https://doi.org/10.17882/42182

North Atlantic Aerosols and Marine Ecosystems Study SeaBASS https://doi.org/10.5067/SEABASS/NAAMES/DATA001

Model code and software

Code and scripts for paper Effects of assimilating phytoplankton carbon in marine ecosystem modelling in NEMO4.0.4-MEDUSA2.0-PDAF2.0 Y. Chen et al. https://doi.org/10.5281/zenodo.21670592

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Short summary
Operational marine ecosystem forecasts traditionally rely on combining phytoplankton chlorophyll observations with model forecasts. However, using our newly developed ensemble data assimilation system, we demonstrate that assimilating phytoplankton carbon data leads to more balanced phytoplankton estimates and adjusts estimates of global ocean carbon.
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