Articles | Volume 16, issue 5
Ocean Sci., 16, 1297–1315, 2020
https://doi.org/10.5194/os-16-1297-2020
Ocean Sci., 16, 1297–1315, 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 et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (17 Jun 2020)  Author's response
ED: Referee Nomination & Report Request started (07 Jul 2020) by Bernadette Sloyan
RR by Anonymous Referee #1 (21 Jul 2020)
ED: Publish subject to technical corrections (01 Sep 2020) by Bernadette Sloyan
AR by Yeray Santana-Falcón on behalf of the Authors (03 Sep 2020)  Author's response    Manuscript
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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.