Numerical simulations of the effective rheology across the fragmentation transition for sea ice and ice shelves

This dataset contains data for the plots in Figures 3 and 4 in the article: Effective rheology across the fragmentation transition for sea ice and ice shelves, J.A. Åström, and D.I. Benn, GRL, 2019. The data is produced with the numerical simulation code HiDEM, which is an open source code that can...

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Bibliographic Details
Main Authors: Åström, Jan, Benn, Doug
Format: Dataset
Language:English
Published: UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation 2019
Subjects:
Online Access:https://dx.doi.org/10.5285/76d7d3ca-7b83-4bb0-aae5-a8e92c7da5b0
https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01249
Description
Summary:This dataset contains data for the plots in Figures 3 and 4 in the article: Effective rheology across the fragmentation transition for sea ice and ice shelves, J.A. Åström, and D.I. Benn, GRL, 2019. The data is produced with the numerical simulation code HiDEM, which is an open source code that can be found at: https://github.com/joeatodd/HiDEM. The data plots in the paper contain the data used as benchmarks for testing the reliability of the simulations (Fig.3), and the main results (Fig. 4), the effective rheology of sea ice across the fragmentation transition. Funding was provided by the NERC grant NE/P011365/1 Calving Laws for Ice Sheet Models CALISMO. : The data contain output from numerical simulations of the fragmentation of sea ice. In particular, the data contain the outputs for benchmarking tests of the computational model as well as computed effective viscosity and stiffness. The benchmarks are: The fragment size distribution, the keel-depth distribution, the strain-rate distribution, and the power-spectra of cracks. The data is described in detail in the paper: Effective rheology across the fragmentation transition for sea ice and ice shelves, J.A. Åström , and D.I. Benn, GRL, 2019. The data correspond to Figures 3 and 4 in this paper. : The HiDEM code was used to produce the data. GitHub code repository: https://github.com/joeatodd/HiDEM : Accuracy of the data is only limited by the "Double Precision" accuracy of the computations.