Model output: CICE6-WIM Antarctic sea ice data (2010--2019)

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:

• iceh_{year}.nc: gridded NetCDF files containing the training variables for k-mean clustering and the fitted clusters.
• forcing_variables_2010_2019.csv: flat file containing variables of CICE6-WIM forcing and sea ice dynamics.
• fsd_processes_2010_2019.csv: flat file containing each term of the prognostic floe size distribution model in CICE6.

Scripts:

• ice_in: CICE namelist
• Waves-in-Ice Module:
  • ice_floe.F90: Appends the WIM to CICE6
  • m_prams_waveice.F90: wave-ice parameters
  • m_waveattn.F90: wave attenuation from sea ice
  • m_fzero.F90: useful mathematical functions and solvers
  • m_waveice.F90: 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 (noah.day@adelaide.edu.au).