Version 1.0.0 (58.2 KB) by Chad Greene
Matlab functions for loading Alex Fraser's fast ice dataset.


Updated 8 Oct 2021

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Matlab functions for loading Alex Fraser's fast ice dataset.


  • fastice_data_download downloads all 19 years of fast ice data.
  • fastice_data loads gridded data for any specified year of the fortnightly fast ice data.
  • fastice_data_autumn loads gridded data corresponding to early March of every year (because coastline mapping is only updated once a year, each March).

Getting Started

  1. Install Antarctic Mapping Tools for Matlab.
  2. Get the data. The simplest thing is to run fastice_data_download, which will download all the data (It's a big dataset and it takes a while.) If your firewall settings prevent fastice_data_download from running, you can manually download the data here.


If you use this dataset and these functions, please cite them as:

  • Fraser, A.D. and Massom, R. (2020) Circum-Antarctic landfast sea ice extent, 2000-2018, Ver. 2.2, Australian Antarctic Data Centre - doi:10.26179/5d267d1ceb60c
  • Fraser, A. D., Massom, R. A., Ohshima, K. I., Willmes, S., Kappes, P. J., Cartwright, J., and Porter-Smith, R.: High-resolution mapping of circum-Antarctic landfast sea ice distribution, 2000–2018, Earth Syst. Sci. Data, 12, 2987–2999, doi:10.5194/essd-12-2987-2020.
  • Greene, C. A., Gwyther, D. E., & Blankenship, D. D. (2017). Antarctic Mapping Tools for Matlab. Computers & Geosciences, 104, 151–157. Elsevier BV. doi:10.1016/j.cageo.2016.08.003

Cite As

Fraser, Alexander D., et al. “High-Resolution Mapping of Circum-Antarctic Landfast Sea Ice Distribution, 2000–2018.” Earth System Science Data, vol. 12, no. 4, Copernicus GmbH, Nov. 2020, pp. 2987–99, doi:10.5194/essd-12-2987-2020.

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Greene, Chad A., et al. “Antarctic Mapping Tools for Matlab.” Computers & Geosciences, vol. 104, Elsevier BV, July 2017, pp. 151–57, doi:10.1016/j.cageo.2016.08.003.

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MATLAB Release Compatibility
Created with R2021a
Compatible with any release
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.