9 Model Sensitivity and Uncertainty Analysis

  • Loucks D
  • van Beek E
  • Stedinger J
 et al. 
  • 1

    Readers

    Mendeley users who have this article in their library.
  • N/A

    Citations

    Citations of this article.

Abstract

The usefulness of any model depends in part on the accuracy and reliability of its output. Yet, because all models are imperfect abstractions of reality, and because precise input data are rarely if ever available, all output values are subject to imprecision. Input data errors and modelling uncertainties are not independent of each other – they can interact in various ways. The end result is imprecision and uncertainty associated with model output. This chapter focuses on ways of identifying, quantifying, and communicating the uncertainties in model outputs.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • Daniel P Loucks

  • Eelco van Beek

  • Jery R Stedinger

  • Jozef P M Dijkman

  • Monique T Villars

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free