Simulations with the sea ice model CICE documenting the impact of improved sea ice physics
Sea ice thickness data (CryoSat-2) have been used to identify and correct shortcomings in simulating winter ice growth in the widely used sea ice model CICE. Here, we provide the data from CICE simulations documenting the impact of improved sea ice physics and the sensitivity to forcing and initial...
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| Format: | Dataset |
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University of Reading
2018
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| Online Access: | https://dx.doi.org/10.17864/1947.187 http://researchdata.reading.ac.uk/id/eprint/187 |
| Summary: | Sea ice thickness data (CryoSat-2) have been used to identify and correct shortcomings in simulating winter ice growth in the widely used sea ice model CICE. Here, we provide the data from CICE simulations documenting the impact of improved sea ice physics and the sensitivity to forcing and initial data. Adding a model of snow drift and using a different scheme for calculating the ice conductivity improve model results. Sensitivity studies demonstrate that atmospheric winter conditions have little impact on winter ice growth, and the fate of Arctic summer sea ice is largely controlled by atmospheric conditions during the melting season. A full description of the data processing and uncertainties is given by Schröder et al. (2018), 'New insight from CryoSat-2 sea ice thickness for sea ice modelling', in The Cryosphere. All simulations are listed in Tables 1 to 3 of this paper. |
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