| Sumario: | The writers review past efforts to manage uncertainty and present a hybrid approach that combines process and economic input-output approaches to uncertainty analysis of life cycle inventories (LCI). The writers explain that different categories of uncertainty, though sometimes incompatible with analysis within a given model framework, can be estimated from another perspective. They outline a categorization of uncertainty types—data, cutoff, aggregation, temporal, geographic—and discuss methods for evaluation, particularly for assessing temporal uncertainty. The writers advance a long-term vision for LCI in which different uncertainty types are quantitatively estimated via hybrid methods and then reduced through an iterative refinement of the hybrid LCI method.
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