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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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South East Australian Coastal Ocean Forecast System (SEA-COFS)

Authors: Roughan, Moninya; Kerry, Colette;

South East Australian Coastal Ocean Forecast System (SEA-COFS)

Abstract

A suite of high resolution hydrodynamic ocean models for south eastern Australia that form the South East Australian Coastal Ocean Forecast System (SEA-COFS). The modelling suite includes output from several different configurations of the Regional Ocean Modeling System hydrodynamic simulation of the East Australian Current (EAC) System. These various model configurations include free running hindcast models, data assimilating state estimates, ocean forecasts and various nested high resolution runs. There is also a biogeochemical configuration of the fennel model on the EAC parent grid. At the time of upload there were four model grids (check later versions for new and revised / extended grids). The SEA-COFS domain covers the southeastern Australia oceanic region from 25.1-41.5 S and 147.1-162.2 E. SEACOFS_EAC_Grid.nc Is the parent grid of the EAC Domain 2.5-6km resolution Kerry, C. G. and M. Roughan, (2020). A high-resolution, 22-year, free-running, hydrodynamic simulation of the East Australia Current System using the Regional Ocean Modeling System. UNSW.dataset. 10.26190/5e683944e1369. Kerry, C. G. and M. Roughan, Powell, Brian, Oke, Peter (2020). 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. UNSW.dataset. 10.26190/5ebe1f389dd87. Kerry, C. , Powell, B. Roughan, M. and Oke, P. (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. Geosci. Model Dev, 9, 3779-3801, 10.5194/gmd-9-3779-2016 SEACOFS_CoffsHarbour_Grid.nc Coffs Harbour Region 0.75-1km resolution Kerry, C., Roughan, M., & Powell, B. (2020). Predicting the submesoscale circulation inshore of the East Australian Current. Journal of Marine Systems (Vol. 204, p. 103286) SEACOFS_HSM_Grid.nc - Hawkesbury Shelf Model (HSM) 750m resolution Ribbat N., M. Roughan, B. Powell, C. Kerry, S. Rao, (2020). A high-resolution (750m) free-running hydrodynamic simulation of the Hawkesbury Shelf region off Southeastern Australia (2012-2013) using the Regional Ocean Modeling System. UNSW.dataset. DOI: 10.26190/5ec35ca34752e. Data access and more information. SEACOFS_Narooma_Grid.nc Narooma Model 0.75-1km resolution EAC_BGC Fennel Model Rocha, C., Edwards, C. A., Roughan, M., Cetina-Heredia, P., & Kerry, C. (2019) A high-resolution biogeochemical model (ROMS 3.4 + bio_Fennel) of the East Australian Current system Geosci. Model Dev., 12, 441-456

We acknowledge funding from the Australian Research Council including grants: DP230100505, LP220100515, LP170100498, LP160100162, LP150100064, DP140102337, LP120100592

Keywords

East Australian Current (EAC), Regional Ocean Modeling System (ROMS), South East Australian Coastal Ocean Forecast System (SEA-COFS), hydrodynamic model, ocean model

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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