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....
| Main Authors: | , , , , |
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| Format: | Dataset |
| Language: | unknown |
| Published: |
Zenodo
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5281/zenodo.10162320 https://zenodo.org/doi/10.5281/zenodo.10162320 |
| 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: 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: ... |
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