Technical note: The CREDIBLE Uncertainty Estimation (CURE) toolbox: facilitating the communication of epistemic uncertainty

Page, Trevor; Smith, Paul; Beven, Keith; Pianosi, Francesca; Sarrazin, Fanny; Almeida, Susana; Holcombe, Liz; Freer, Jim; Chappell, Nick; Wagener, Thorsten

doi:https://doi.org/10.5194/hess-27-2523-2023

Articles | Volume 27, issue 13

https://doi.org/10.5194/hess-27-2523-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-27-2523-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 27, issue 13

Technical note

|

11 Jul 2023

Technical note |

| 11 Jul 2023

Technical note: The CREDIBLE Uncertainty Estimation (CURE) toolbox: facilitating the communication of epistemic uncertainty

Trevor Page, Paul Smith, Keith Beven, Francesca Pianosi, Fanny Sarrazin, Susana Almeida, Liz Holcombe, Jim Freer, Nick Chappell, and Thorsten Wagener

Model code and software

CURE Uncertainty Estimation Toolbox Trevor Page, Paul Smith, Keith Beven, Francesca Pianosa, Fanny Sarrazin, and Susana Almeida https://www.lancaster.ac.uk/lec/sites/qnfm/credible/default.htm

Short summary

This publication provides an introduction to the CREDIBLE Uncertainty Estimation (CURE) toolbox. CURE offers workflows for a variety of uncertainty estimation methods. One of its most important features is the requirement that all of the assumptions on which a workflow analysis depends be defined. This facilitates communication with potential users of an analysis. An audit trail log is produced automatically from a workflow for future reference.