parameters to include in uncertainty quantification and related probability distributions; measurement uncertainty of each observation or model to measurement misfit criteria; agreed justifications for invoking model/method assumptions/criteria and how those choices affect simulations and uncertainties; methods, simulations and results discussed using calibrated language and presented in a way that reduces cognitive strain and is not prone to misinterpretation.
parameters to include in uncertainty quantification and related probability distributions; measurement uncertainty of each observation or model to measurement misfit criteria; agreed justifications for invoking model/method assumptions/criteria and how those choices affect simulations and uncertainties; methods, simulations and results discussed using calibrated language and presented in a way that reduces cognitive strain and is not prone to misinterpretation.
draft-iesc-explanatory-note-uncertainty.docx