Articles | Volume 17, issue 6
https://doi.org/10.5194/gmd-17-2359-2024
https://doi.org/10.5194/gmd-17-2359-2024
Model description paper
 | 
22 Mar 2024
Model description paper |  | 22 Mar 2024

Comparison of 4-dimensional variational and ensemble optimal interpolation data assimilation systems using a Regional Ocean Modeling System (v3.4) configuration of the eddy-dominated East Australian Current system

Colette Gabrielle Kerry, Moninya Roughan, Shane Keating, David Gwyther, Gary Brassington, Adil Siripatana, and Joao Marcos A. C. Souza

Viewed

Total article views: 1,100 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
831 220 49 1,100 44 36
  • HTML: 831
  • PDF: 220
  • XML: 49
  • Total: 1,100
  • BibTeX: 44
  • EndNote: 36
Views and downloads (calculated since 24 Oct 2023)
Cumulative views and downloads (calculated since 24 Oct 2023)

Viewed (geographical distribution)

Total article views: 1,100 (including HTML, PDF, and XML) Thereof 1,074 with geography defined and 26 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Dec 2024
Download
Short summary
Ocean forecasting relies on the combination of numerical models and ocean observations through data assimilation (DA). Here we assess the performance of two DA systems in a dynamic western boundary current, the East Australian Current, across a common modelling and observational framework. We show that the more advanced, time-dependent method outperforms the time-independent method for forecast horizons of 5 d. This advocates the use of advanced methods for highly variable oceanic regions.