EGUsphere EGUsphere EGUsphere EGUsphere Copernicus Publications Göttingen, Germany 10.5194/egusphere-2026-4007 iceHIST v1.0: a cosmogenic-nuclide model suite for testing glacier and ice-sheet histories Jones Richard S. https://orcid.org/0000-0003-2988-0999 1 Securing Antarctica’s Environmental Future, School of Earth Atmosphere and Environment, Monash University, Clayton, Victoria, 3800, Australia 21 07 2026 2026 1 49 Copyright: © 2026 Richard S. Jones 2026 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4007/ The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4007/egusphere-2026-4007.pdf

<span>Cosmogenic-nuclide inventories in glaciated landscapes record changes in glaciers or ice sheets, and other surface processes. Scenario-based models can extract glacier and ice-sheet history information from these inventories, but many approaches remain specialised to a single site, data type, scenario structure, or inference method. Here I present </span><span>iceHIST</span><span> v1.0, a model suite for testing hypotheses about glacier and ice-sheet history using in situ 10Be, 14C and/or 26Al. </span><span>iceHIST</span><span> supports depth profiles (e.g. bedrock cores), surface samples as transects, and combined core-plus-transect datasets, including modern subaerial and subglacial samples. Four scenario families define the tested histories: </span><span>OneStage</span><span>, </span><span>DynamicPeriods</span><span>, </span><span>TimeSeries</span><span> and </span><span>IceSurface</span><span>. These scenarios encompass simple cover histories, repeated exposure and burial intervals, </span><span>thresholded</span><span> time-series histories, and explicit or imported ice-surface histories. For each scenario, a common forward model integrates nuclide production over depth and time, accounts for radioactive decay, ice cover, and sample thickness, and includes options for snow shielding, subaerial and subglacial erosion, and inherited inventories. Model predictions are compared with data using Monte Carlo screening, Markov chain Monte Carlo (MCMC) posterior exploration, or likelihood weighting of fixed imported histories. Synthetic demonstrations illustrate surface and depth-profile recovery, time-series threshold recovery, thinner-than-present lowstand testing, a Monte Carlo-to-MCMC workflow, and ranking of imported ensemble histories. Applied in this manner, </span><span>iceHIST</span><span> can determine how long glaciers were larger or smaller than today, whether ice sheets thinned below current levels and subsequently re-thickened, and identify which glacier or ice-sheet simulations best match cosmogenic-nuclide observations.</span>

 Australian Research Council SR200100005