Bayesian model selection
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This dataset contains acoustic impedance misfits between measurements collected on Pine Island Glacier (Brisbourne et al., 2017) and predictions of the Viscous Grain-Shearing theory (Buckingham, 1997, 2000, 2005, 2007). The dataset is presented as netCDF files. The acoustic impedance predictions depend on the effective pressure, which is derived using various basal sliding laws. This link enables the comparison of basal sliding laws within a Bayesian model selection framework (Hank et al., 2025). The posterior probabilities (also included in this dataset) were determined by the authors to infer the most probable basal sliding law. This work was funded by the GHOST project, a component of the International Thwaites Glacier Collaboration (ITGC). Support from National Science Foundation (NSF: Grant PLR 1738934) and Natural Environment Research Council (NERC: Grant NE/S006672/1), with logistics provided by NSF-U.S. Antarctic Program and NERC-British Antarctic Survey.
NERC Data Catalogue Service