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

Viewed

Total article views: 2,602 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,655 852 95 2,602 100 99
  • HTML: 1,655
  • PDF: 852
  • XML: 95
  • Total: 2,602
  • BibTeX: 100
  • EndNote: 99
Views and downloads (calculated since 24 Feb 2020)
Cumulative views and downloads (calculated since 24 Feb 2020)

Viewed (geographical distribution)

Total article views: 2,602 (including HTML, PDF, and XML) Thereof 2,365 with geography defined and 237 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 05 Oct 2024
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.