Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 6
Articles | Volume 16, issue 6
https://doi.org/10.5194/gmd-16-1601-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-1601-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 6
Review and perspective paper
 | 
21 Mar 2023
Review and perspective paper |  | 21 Mar 2023

Addressing challenges in uncertainty quantification: the case of geohazard assessments

Ibsen Chivata Cardenas, Terje Aven, and Roger Flage

Viewed

Total article views: 2,604 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,947 581 76 2,604 58 61
  • HTML: 1,947
  • PDF: 581
  • XML: 76
  • Total: 2,604
  • BibTeX: 58
  • EndNote: 61
Views and downloads (calculated since 17 Oct 2022)
Cumulative views and downloads (calculated since 17 Oct 2022)

Viewed (geographical distribution)

Total article views: 2,604 (including HTML, PDF, and XML) Thereof 2,499 with geography defined and 105 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Discussed (preprint)

Latest update: 18 Apr 2025
Download
Executive editor
This paper provides a review of uncertainty quantification, with particular application to geohazard modelling. It provides a review of the state of this field along with a large set of references to current and established literature in this area.
Read more
Short summary
We discuss challenges in uncertainty quantification for geohazard assessments. The challenges arise from limited data and the one-off nature of geohazard features. The challenges include the credibility of predictions, input uncertainty, and assumptions’ impact. Considerations to increase credibility of the quantification are provided. Crucial tasks in the quantification are the exhaustive scrutiny of the background knowledge coupled with the assessment of deviations of assumptions made.
Read more
Share