Articles | Volume 9, issue 1
https://doi.org/10.5194/essd-9-267-2017
https://doi.org/10.5194/essd-9-267-2017
Brief communication
 | 
05 May 2017
Brief communication |  | 05 May 2017

A high-resolution synthetic bed elevation grid of the Antarctic continent

Felicity S. Graham, Jason L. Roberts, Ben K. Galton-Fenzi, Duncan Young, Donald Blankenship, and Martin J. Siegert

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Cited articles

Alabert, F.: The practice of fast conditional simulations through the LU decomposition of the covariance matrix, Math. Geol., 19, 369–386, https://doi.org/10.1007/BF00897191, 1987.
Blankenship, D. D., Kempf, S. D., Young, D. A., Richter, T. G., Schroeder, D. M., Greenbaum, J. S., Holt, J. W., van Ommen, T. D., Warner, R. C., Roberts, J. L., Young, N. W., Lemeur, E., and Siegert, M. J.: IceBridge HiCARS 1 L2 geolocated ice thickness, Version 1, NASA National Snow and Ice Data Center Distributed Active Archive Center, https://doi.org/10.5067/F5FGUT9F5089, 2011.
Blankenship, D. D., Kempf, S. D., Young, D. A., Richter, T. G., Schroeder, D. M., Ng, G., Greenbaum, J. S., van Ommen, T. D., Warner, R. C., Roberts, J. L., Young, N. W., Lemeur, E., and Siegert, M. J.: IceBridge HiCARS 1 L2 geolocated ice thickness, Version 1, NASA National Snow and Ice Data Center Distributed Active Archive Center, https://doi.org/10.5067/9EBR2T0VXUDG, 2012.
Bourgault, G.: Using non-Gaussian distributions in geostatistical simulations, Math. Geol., 29, 315–334, https://doi.org/10.1007/BF02769638, 1997.
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Short summary
Antarctic bed topography datasets are interpolated onto low-resolution grids because our observed topography data are sparsely sampled. This has implications for ice-sheet model simulations, especially in regions prone to instability, such as grounding lines, where detailed knowledge of the topography is required. Here, we constructed a high-resolution synthetic bed elevation dataset using observed covariance properties to assess the dependence of simulated ice-sheet dynamics on grid resolution.
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