| Summary: | CICE6 model with waves-in-ice module (WIM) output analysed with k-means clustering to identify the Antarctic marginal ice zone. Daily data at a 1-degree horizontal resolution of the variables used to inform k-means and the physical processes which drive the Antarctic marginal ice zone are included. The model was spun-up over 2005–2009 and outputs were analysed over 2010–2019. For further details, see Day, N. S., Bennetts. L. G., O'Farrell, S. P., Alberello, A., & Montiel, F. (2023) Analysis of the Antarctic Marginal Ice Zone Based on Unsupervised Classification of Standalone Sea Ice Model Data. Data files: <code>iceh_{year}.nc</code>: gridded NetCDF files containing the training variables for k-mean clustering and the fitted clusters. <code>forcing_variables_2010_2019.csv</code>: flat file containing variables of CICE6-WIM forcing and sea ice dynamics. <code>fsd_processes_2010_2019.csv</code>: flat file containing each term of the prognostic floe size distribution model in CICE6. Scripts: <code>ice_in</code>: CICE namelist Waves-in-Ice Module: <code>ice_floe.F90</code>: Appends the WIM to CICE6 <code>m_prams_waveice.F90</code>: wave-ice parameters <code>m_waveattn.F90</code>: wave attenuation from sea ice <code>m_fzero.F90</code>: useful mathematical functions and solvers <code>m_waveice.F90</code>: wave-ice physics To implement the WIM into CICE6, subroutines within ice_floe.F90 should be called prior calling the floe size distribution subroutines in ice_step_mod.F90. For further details/assistance in implementing the WIM please contact Noah Day (<code>noah.day@adelaide.edu.au</code>).
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