Articles | Volume 18, issue 12
https://doi.org/10.5194/gmd-18-3635-2025
https://doi.org/10.5194/gmd-18-3635-2025
Model description paper
 | 
20 Jun 2025
Model description paper |  | 20 Jun 2025

The Utrecht Finite Volume Ice-Sheet Model (UFEMISM) version 2.0 – Part 1: Description and idealised experiments

Constantijn J. Berends, Victor Azizi, Jorge A. Bernales, and Roderik S. W. van de Wal

Related authors

CO2 and summer insolation as drivers for the Mid-Pleistocene Transition
Meike D. W. Scherrenberg, Constantijn J. Berends, and Roderik S. W. van de Wal
Clim. Past, 21, 1061–1077, https://doi.org/10.5194/cp-21-1061-2025,https://doi.org/10.5194/cp-21-1061-2025, 2025
Short summary
Present-day mass loss rates are a precursor for West Antarctic Ice Sheet collapse
Tim van den Akker, William H. Lipscomb, Gunter R. Leguy, Jorjo Bernales, Constantijn J. Berends, Willem Jan van de Berg, and Roderik S. W. van de Wal
The Cryosphere, 19, 283–301, https://doi.org/10.5194/tc-19-283-2025,https://doi.org/10.5194/tc-19-283-2025, 2025
Short summary
Brief communication: velocities and thinning rates for Halfar’s analytical solution to the Shallow Ice Approximation
Constantijn J. Berends
EGUsphere, https://doi.org/10.5194/egusphere-2024-3610,https://doi.org/10.5194/egusphere-2024-3610, 2024
Preprint archived
Short summary
Late Pleistocene glacial terminations accelerated by proglacial lakes
Meike D. W. Scherrenberg, Constantijn J. Berends, and Roderik S. W. van de Wal
Clim. Past, 20, 1761–1784, https://doi.org/10.5194/cp-20-1761-2024,https://doi.org/10.5194/cp-20-1761-2024, 2024
Short summary
Miocene Antarctic Ice Sheet area adapts significantly faster than volume to CO2-induced climate change
Lennert B. Stap, Constantijn J. Berends, and Roderik S. W. van de Wal
Clim. Past, 20, 257–266, https://doi.org/10.5194/cp-20-257-2024,https://doi.org/10.5194/cp-20-257-2024, 2024
Short summary

Related subject area

Cryosphere
Computationally efficient subglacial drainage modelling using Gaussian process emulators: GlaDS-GP v1.0
Tim Hill, Derek Bingham, Gwenn E. Flowers, and Matthew J. Hoffman
Geosci. Model Dev., 18, 4045–4074, https://doi.org/10.5194/gmd-18-4045-2025,https://doi.org/10.5194/gmd-18-4045-2025, 2025
Short summary
Anisotropic metric-based mesh adaptation for ice flow modelling in Firedrake
Davor Dundovic, Joseph G. Wallwork, Stephan C. Kramer, Fabien Gillet-Chaulet, Regine Hock, and Matthew D. Piggott
Geosci. Model Dev., 18, 4023–4044, https://doi.org/10.5194/gmd-18-4023-2025,https://doi.org/10.5194/gmd-18-4023-2025, 2025
Short summary
Description and validation of the ice-sheet model Nix v1.0
Daniel Moreno-Parada, Alexander Robinson, Marisa Montoya, and Jorge Alvarez-Solas
Geosci. Model Dev., 18, 3895–3919, https://doi.org/10.5194/gmd-18-3895-2025,https://doi.org/10.5194/gmd-18-3895-2025, 2025
Short summary
A Flexible Snow Model (FSM 2.1.1) including a forest canopy
Richard Essery, Giulia Mazzotti, Sarah Barr, Tobias Jonas, Tristan Quaife, and Nick Rutter
Geosci. Model Dev., 18, 3583–3605, https://doi.org/10.5194/gmd-18-3583-2025,https://doi.org/10.5194/gmd-18-3583-2025, 2025
Short summary
CMIP6 models overestimate sea ice melt, growth and conduction relative to ice mass balance buoy estimates
Alex E. West and Edward W. Blockley
Geosci. Model Dev., 18, 3041–3064, https://doi.org/10.5194/gmd-18-3041-2025,https://doi.org/10.5194/gmd-18-3041-2025, 2025
Short summary

Cited articles

Asay-Davis, X. S., Cornford, S. L., Durand, G., Galton-Fenzi, B. K., Gladstone, R. M., Gudmundsson, G. H., Hattermann, T., Holland, D. M., Holland, D., Holland, P. R., Martin, D. F., Mathiot, P., Pattyn, F., and Seroussi, H.: Experimental design for three interrelated marine ice sheet and ocean model intercomparison projects: MISMIP v. 3 (MISMIP +), ISOMIP v. 2 (ISOMIP +) and MISOMIP v. 1 (MISOMIP1), Geosci. Model Dev., 9, 2471–2497, https://doi.org/10.5194/gmd-9-2471-2016, 2016. 
Berends, C. J., Goelzer, H., and van de Wal, R. S. W.: The Utrecht Finite Volume Ice-Sheet Model: UFEMISM (version 1.0), Geosci. Model Dev., 14, 2443–2470, https://doi.org/10.5194/gmd-14-2443-2021, 2021. 
Berends, C. J., Goelzer, H., Reerink, T. J., Stap, L. B., and van de Wal, R. S. W.: Benchmarking the vertically integrated ice-sheet model IMAU-ICE (version 2.0), Geosci. Model Dev., 15, 5667–5688, https://doi.org/10.5194/gmd-15-5667-2022, 2022. 
Berends, C. J., van de Wal, R. S. W., van den Akker, T., and Lipscomb, W. H.: Compensating errors in inversions for subglacial bed roughness: same steady state, different dynamic response, The Cryosphere, 17, 1585–1600, https://doi.org/10.5194/tc-17-1585-2023, 2023a. 
Download
Short summary
Ice-sheet models are computer programs that can simulate how the Greenland and Antarctic ice sheets will evolve in the future. The accuracy of these models depends on their resolution: how small the details are that the model can resolve. We have created a model with a variable resolution that can resolve a lot of detail in areas where lots of changes happen in the ice and less detail in areas where the ice does not move so much. This makes the model both accurate and fast.
Share