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Uncertainty evaluation and sensitivity testing of the functions and parameters used in ERA Acute serve two functions. ERA Acute is a deterministic model which is sensitive to the range of values used for the parameters. Parameters have inherent uncertainties as to what their true values are, and functions may have varying strength of knowledge. The individual functions were tested with respect to their sensitivity towards variation of the parameter values using both deterministic and stochastic testing. Based on the testing, an uncertainty scoring system was used to identify and prioritize the most important parameters for reducing uncertainty. Recommendations for handling the uncertainty and securing comparability in spite of uncertainty were set up as a conclusion of the studies.

Handling Uncertainty and Sensitivity of ERA Acute Towards Input Parameters