Articles | Volume 12, issue 3
https://doi.org/10.5194/gmd-12-933-2019
https://doi.org/10.5194/gmd-12-933-2019
Methods for assessment of models
 | 
12 Mar 2019
Methods for assessment of models |  | 12 Mar 2019

ATAT 1.1, the Automated Timing Accordance Tool for comparing ice-sheet model output with geochronological data

Jeremy C. Ely, Chris D. Clark, David Small, and Richard C. A. Hindmarsh

Related authors

The Greenland-Ice-Sheet evolution over the last 24,000 years: insights from model simulations evaluated against ice-extent markers
Tancrède P. M. Leger, Jeremy C. Ely, Christopher D. Clark, Sarah L. Bradley, Rosie E. Archer, and Jiang Zhu
EGUsphere, https://doi.org/10.5194/egusphere-2025-1616,https://doi.org/10.5194/egusphere-2025-1616, 2025
Short summary
A Greenland-wide empirical reconstruction of paleo ice sheet retreat informed by ice extent markers: PaleoGrIS version 1.0
Tancrède P. M. Leger, Christopher D. Clark, Carla Huynh, Sharman Jones, Jeremy C. Ely, Sarah L. Bradley, Christiaan Diemont, and Anna L. C. Hughes
Clim. Past, 20, 701–755, https://doi.org/10.5194/cp-20-701-2024,https://doi.org/10.5194/cp-20-701-2024, 2024
Short summary
Quantifying the uncertainty in the Eurasian ice-sheet geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6)
Oliver G. Pollard, Natasha L. M. Barlow, Lauren J. Gregoire, Natalya Gomez, Víctor Cartelle, Jeremy C. Ely, and Lachlan C. Astfalck
The Cryosphere, 17, 4751–4777, https://doi.org/10.5194/tc-17-4751-2023,https://doi.org/10.5194/tc-17-4751-2023, 2023
Short summary
Surface mass balance modelling of the Juneau Icefield highlights the potential for rapid ice loss by the mid-21st century
Ryan N. Ing, Jeremy C. Ely, Julie M. Jones, and Bethan J. Davies
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-33,https://doi.org/10.5194/tc-2023-33, 2023
Preprint withdrawn
Short summary
Automated mapping of the seasonal evolution of surface meltwater and its links to climate on the Amery Ice Shelf, Antarctica
Peter A. Tuckett, Jeremy C. Ely, Andrew J. Sole, James M. Lea, Stephen J. Livingstone, Julie M. Jones, and J. Melchior van Wessem
The Cryosphere, 15, 5785–5804, https://doi.org/10.5194/tc-15-5785-2021,https://doi.org/10.5194/tc-15-5785-2021, 2021
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
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
Geosci. Model Dev., 18, 3635–3659, https://doi.org/10.5194/gmd-18-3635-2025,https://doi.org/10.5194/gmd-18-3635-2025, 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

Cited articles

Applegate, P. J., Kirchner, N., Stone, E. J., Keller, K., and Greve, R.: An assessment of key model parametric uncertainties in projections of Greenland Ice Sheet behavior, The Cryosphere, 6, 589–606, https://doi.org/10.5194/tc-6-589-2012, 2012. 
Arnold, J. R. and Libby, W. F.: Radiocarbon dates, Science, 113, 111–120, 1951. 
Auriac, A., Whitehouse, P. L., Bentley, M. J., Patton, H., Lloyd, J. M., and Hubbard, A.: Glacial isostatic adjustment associated with the Barents Sea ice sheet: a modelling inter-comparison, Quaternary Sci. Rev., 147, 122–135, 2016. 
Balco, G.: Contributions and unrealized potential contributions of cosmogenic-nuclide exposure dating to glacier chronology, 1990–2010, Quaternary Sci. Rev., 30, 3–27, 2011. 
Bamber, J. L. and Aspinall, W. P.: An expert judgement assessment of future sea level rise from the ice sheets, Nat. Clim. Change, 3, 424–427, 2013. 
Download
Short summary
During the last 2.6 million years, the Earth's climate has cycled between cold glacials and warm interglacials, causing the growth and retreat of ice sheets. These ice sheets can be independently reconstructed using numerical models or from dated evidence that they leave behind (e.g. sediments, boulders). Here, we present a tool for comparing numerical model simulations with dated ice-sheet material. We demonstrate the utility of this tool by applying it to the last British–Irish ice sheet.
Share