Matlab/R workflows to assess critical choices in Global Sensitivity Analysis using the SAFE toolbox.

ABSTRACT: Global Sensitivity Analysis (GSA) is a set of statistical techniques to investigate the effects of the uncertainty in the input factors of a mathematical model on the model's outputs. The value of GSA for the construction, evaluation, and improvement of earth system models is reviewed in a companion paper by Wagener and Pianosi (2019). The present paper focuses on the implementation of GSA and provides a set of workflow scripts to assess the critical choices that GSA users need to make before and while executing GSA. The workflows proposed here can be adopted by GSA users and easily adjusted to a range of GSA methods. We demonstrate how to interpret the outcomes resulting from these different choices and how to revise the choices to improve GSA quality, using a simple rainfall-runoff model

SUBMITTER: Noacco V 

PROVIDER: S-EPMC6812336 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature