Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 22
Articles | Volume 15, issue 22
https://doi.org/10.5194/gmd-15-8269-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-8269-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 22
Model description paper
 | 
18 Nov 2022
Model description paper |  | 18 Nov 2022

The Stochastic Ice-Sheet and Sea-Level System Model v1.0 (StISSM v1.0)

Vincent Verjans, Alexander A. Robel, Helene Seroussi, Lizz Ultee, and Andrew F. Thompson

Viewed

Total article views: 2,473 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,900 508 65 2,473 66 64
  • HTML: 1,900
  • PDF: 508
  • XML: 65
  • Total: 2,473
  • BibTeX: 66
  • EndNote: 64
Views and downloads (calculated since 08 Aug 2022)
Cumulative views and downloads (calculated since 08 Aug 2022)

Viewed (geographical distribution)

Total article views: 2,473 (including HTML, PDF, and XML) Thereof 2,382 with geography defined and 91 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Jun 2025
Download
Short summary
We describe the development of the first large-scale ice sheet model that accounts for stochasticity in a range of processes. Stochasticity allows the impacts of inherently uncertain processes on ice sheets to be represented. This includes climatic uncertainty, as the climate is inherently chaotic. Furthermore, stochastic capabilities also encompass poorly constrained glaciological processes that display strong variability at fine spatiotemporal scales. We present the model and test experiments.
Read more
Share