Articles | Volume 9, issue 10
https://doi.org/10.5194/gmd-9-3779-2016
https://doi.org/10.5194/gmd-9-3779-2016
Development and technical paper
 | 
26 Oct 2016
Development and technical paper |  | 26 Oct 2016

Development and evaluation of a high-resolution reanalysis of the East Australian Current region using the Regional Ocean Modelling System (ROMS 3.4) and Incremental Strong-Constraint 4-Dimensional Variational (IS4D-Var) data assimilation

Colette Kerry, Brian Powell, Moninya Roughan, and Peter Oke

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Cited articles

Andreu-Burillo, I., Brassington, G., Oke, P., and Beggs, H.: Including a new data stream in the BLUElink Ocean Data Assimilation System, Aust. Meteorol. Ocean., 59, 77–86, 2010.
Australian National Facility for Ocean Gliders: Data Management, Integrated Marine Observing System, available at: http://anfog.ecm.uwa.edu.au/ (last access: 24 October 2016), 2012.
Bennett, A. F.: Inverse Modeling of the Ocean and Atmosphere, Cambridge Univ. Press, 2002.
Broquet, G., Edwards, C. A., Moore, A., Powell, B. S., Veneziani, M., and Doyle, J. D.: Application of 4D-Variational data assimilation to the California Current System, Dynam. Atmos. Oceans, 48, 69–92, 2009.
Cetina Heredia, P., Roughan, M., Van Sebille, E., and Coleman, M.: Long-term trends in the East Australian Current separation latitude and eddy driven transport, J. Geophys. Res., 119, 4351–4366, https://doi.org/10.1002/2014JC010071, 2014.
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Short summary
Ocean circulation drives weather and climate and supports marine ecosystems, so providing accurate predictions is important. The ocean circulation is complex, 3-D and highly variable, and its prediction requires advanced numerical models combined with real-time measurements. Focusing on the dynamic East Austr. Current, we use novel mathematical techniques to combine an ocean model with measurements to better estimate the circulation. This is an important step towards improving ocean forecasts.