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This study explores the optimization of a biogeochemical model in the northern South China Sea using satellite-derived phytoplankton functional type (PFT) data and BGC-Argo observations. The assimilation of these data significantly improved the simulation of chlorophyll-a concentrations and the representation of phytoplankton groups, particularly diatoms, while combining both satellite and BGC-Argo data enhanced the vertical distributions of chlorophyll-a and particulate organic carbon. The findings highlig

Author

zyy68084

Language

EN