Trevor Page, Paul Smith, Keith Beven, Francesca Pianosi, Fanny Sarrazin, Suzanna Almeida, Liz Holcome, Jim Freer and Thorsten Wagener
The CREDIBLE Uncertainty Estimation (CURE) Toolbox is an open source MATLAB™ toolbox for uncertainty estimation aimed at scientists and practitioners who are not necessarily experts in uncertainty estimation. The toolbox focusses on environmental simulation models and employs a range of different Monte Carlo methods for uncertainty estimation. The methods are demonstrated with a range of modelling applications within workflow scripts. The scripts provide examples of how to utilise the CURE toolbox functions to help users definine their own workflow. The toolbox implementation aims to increase the uptake of uncertainty estimation methods within a framework designed to be open and explicit as well as to represent best practice in applying the methods included. Best practice in the evaluation of modelling assumptions and choices is included by the incorporation of a condition tree that allows users to record modelling assumptions and choices made. The assumptions and choces can be captured via use of a GUI which are subsequently recorded as an audit trail log. CURE has been developed in parallel with the sensitivity analysis toobox SAFE .