mainlogo
Tool Catalogue for Uncertainty Assessment
Introduction
1. Sensitivity analysis
Description
Goals and use
Sorts and locations of uncertainty addressed
Required resources
Strengths and limitations
Guidance on application
Pitfalls
References
2. Error propagation equation ("TIER 1")
3. Monte Carlo analysis ("TIER 2")
4. NUSAP
5. Expert elicitation for uncertainty quantification
6. Scenario analysis
7. PRIMA: A framework for perspective-based uncertainty management
8. Checklist for model quality assistance
9. A method for critical review of assumptions in model-based assessments

Sorts and locations of uncertainty addressed

Sensitivity Analysis typically addresses statistical uncertainty (inexactness) in inputs and parameters. It is however also possible to use this technique to analyse sensitivity to changes in model structure. It does not treat knowledge uncertainty separately from variability related uncertainty. It provides no insight in the quality of the knowledge base nor in issues of value loading.