From Australian Oceans Data Network

Wave-ice breakup model for inclusion in CICE

Created 13/03/2025

Updated 13/03/2025

A numerical model of ocean wave interactions with Antarctic sea ice cover, including: (i) attenuation of wave energy due to the ice cover (based on the empirical model of Meylan, Bennetts, Kohout, 2014, Geophys Res Lett, doi:10.1002/2014GL060809); and (ii) breakup of the ice cover into smaller floes due to strains imposed by wave motion (based on the theory of Williams et al, 2013, Ocean Model., doi:10.1016/j.ocemod.2013.05.010). The model is coded in FORTRAN90 for use as a module in a standalone version of the CICEv4.1 sea ice model (http://oceans11.lanl.gov/trac/CICE). It requires incident wave forcing to be specified at some constant latitude outside the ice cover, which can be user chosen or imported from data files (e.g. data given by Wavewatch III hindcasts, see http://doi.org/10.4225/08/523168703DCC5). Modifications to the existing CICE routines are given to allow integration of the broken floe sizes into its lateral melting scheme, and for incorporation of a floe bonding scheme.
Bennetts, O'Farrell and Uotila (submitted) use the model to study the impact of wave-induced ice breakup on model predictions of the concentration and volume of Antarctic sea ice.

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Additional Info

Field Value
Title Wave-ice breakup model for inclusion in CICE
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/7b6f1811-1e04-4d57-a33d-a08eca2269f5
Contact Point
CSIRO Oceans & Atmosphere
metadata@aad.gov.au
Reference Period 01/07/2012 - 30/06/2016
Geospatial Coverage {"type": "Polygon", "coordinates": [[[-180.0, -75.0], [180.0, -75.0], [180.0, -60.0], [-180.0, -60.0], [-180.0, -75.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Wave-ice breakup model for inclusion in CICE". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/wave-ice-breakup-model-for-inclusion-in-cice

No duplicate datasets found.