6.2.1 Probabilistic risk assessment

In probabilistic risk assessments, explicit probability distributions are used for some (or all) parameters. The required probability distributions may be derived directly from data or may involve formal quantification of expert judgements (Morgan and Henrion, 1999). However, probabilistic risk may require a simplification of models because of limitations on available computing resources (IPCC, 2005) to answer the issue regarding uncertainty vs. parameter uncertainty (e.g. detailed assessment with a coarse model vs. investigation of a few parameter values with a detailed model). Probabilistic risk typically requires a mix of objective and subjective data that allows ranking of issues and results through an integrative and quantitative approach including explicitly uncertainties (CSLF, 2009).