Uncertainty
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 Uncertainty refers not only to statistical uncertainty. The typology used in INTARESE builds on an adapted version of the Walker & Harremoës framework.
 One dimension of uncertainties is the location of uncertainties (where the uncertainty is located). For most models it is applicable to distinguish between:
 context
 model structure
 inputs
 parameters
 model outcome (result)
 For the other dimension of uncertainties it is distinguished between three levels of uncertainties:
 statistical uncertainty (known outcomes, known probabilities)
 scenario uncertainty (known outcomes, unknown probabilities)
 identified ignorance (unknown outcomes, unknown probabilities).<section end=glossary />
References
The uncertainty report by WP 1.5.