Articles | Volume 16, issue 5
https://doi.org/10.5194/os-16-1297-2020
https://doi.org/10.5194/os-16-1297-2020
Research article
 | 
29 Oct 2020
Research article |  | 29 Oct 2020

Assimilation of chlorophyll data into a stochastic ensemble simulation for the North Atlantic Ocean

Yeray Santana-Falcón, Pierre Brasseur, Jean Michel Brankart, and Florent Garnier

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Latest update: 31 Mar 2025
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Short summary
Data assimilation is the most comprehensive strategy to estimate the biogeochemical state of the ocean. Here, surface Chl a data are daily assimilated into a 24-member NEMO–PISCES ensemble configuration to implement a complete 4D assimilation system. Results show the assimilation increases the skills of the ensemble, though a regional diagnosis suggests that the description of model and observation uncertainties needs to be refined according to the biogeochemical characteristics of each region.
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