Articles | Volume 16, issue 5
Ocean Sci., 16, 1297–1315, 2020
Ocean Sci., 16, 1297–1315, 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.


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

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
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.