University of Reading Research Data Archive

Simulations with the sea ice model CICE documenting the impact of improved sea ice physics

How to cite this Dataset


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.

Resource Type: Dataset
Creators: Schroeder, David
Rights-holders: University of Reading
Data Publisher: University of Reading
Publication Year: 2018
Data last accessed: 16 May 2024
Metadata Record URL:
Organisational units: Science > School of Mathematical, Computational and Physical Sciences > Department of Meteorology
Participating Organisations: University of Reading, University of Leeds
Keywords: sea ice model, sea ice thickness, sea ice physics
Data Availability: OPEN


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