Articles | Volume 17, issue 6
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

Data sets

A high-resolution reanalysis of the East Australian Current System assimilating an unprecedented observational data set using 4D-Var data assimilation over a two-year period (2012-2013). Version 2017. Colette Kerry et al.

South East Australian Coastal Ocean Forecast System (SEA-COFS) Colette Kerry and Moninya Roughan

Argo float data and metadata from Global Data Assembly Centre (Argo GDAC) G. Notarstefano

South East Australian Coastal Ocean Forecast System (SEA-COFS) (1.0) M. Roughan and C. Kerry

A high-resolution, 22-year, free-running, hydrodynamci simulation of the EAC System using the ROMS C. Kerry and M. Roughan

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.