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.

Viewed

Total article views: 1,010 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
691 272 47 1,010 45 50
  • HTML: 691
  • PDF: 272
  • XML: 47
  • Total: 1,010
  • BibTeX: 45
  • EndNote: 50
Views and downloads (calculated since 24 Feb 2020)
Cumulative views and downloads (calculated since 24 Feb 2020)

Viewed (geographical distribution)

Total article views: 828 (including HTML, PDF, and XML) Thereof 821 with geography defined and 7 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 Jun 2021
Download
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.