Articles | Volume 15, issue 3
https://doi.org/10.5194/gmd-15-1195-2022
© Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
10 Feb 2022
Development and technical paper |
| 10 Feb 2022
| 10 Feb 2022
Implementation of a Gaussian Markov random field sampler for forward uncertainty quantification in the Ice-sheet and Sea-level System Model v4.19
Related authors
The Cryosphere, 19, 4355–4372, 2025
EGUsphere, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
The Cryosphere, 17, 5197–5217, 2023
Cited articles
Abramowitz, M. and Stegun, I. A.:
Handbook of Mathematical Functions: with Formulas, Graphs, and Mathematical Tables, 9th edn.,
Dover Publications, New York, NY, 1970. a
Babaniyi, O., Nicholson, R., Villa, U., and Petra, N.: Inferring the basal sliding coefficient field for the Stokes ice sheet model under rheological uncertainty, The Cryosphere, 15, 1731–1750, https://doi.org/10.5194/tc-15-1731-2021, 2021. a, b
Bakka, H., Krainski, E., Bolin, D., Rue, H., and Lindgren, F.:
The diffusion-based extension of the Matérn field to space-time,
arXiv [preprint], arXiv:2006.04917, 2020. a
Bamber, J. L., Gomez-Dans, J. L., and Griggs, J. A.: A new 1 km digital elevation model of the Antarctic derived from combined satellite radar and laser data – Part 1: Data and methods, The Cryosphere, 3, 101–111, https://doi.org/10.5194/tc-3-101-2009, 2009. a
Beskos, A., Girolami, M., Lan, S., Farrell, P. E., and Stuart, A. M.:
Geometric MCMC for infinite-dimensional inverse problems,
J. Comput. Phys.,
335, 327–351, https://doi.org/10.1016/j.jcp.2016.12.041, 2017. a
