Atmospheric chemistry transport models are widely used to underpin policy decisions. We present a global sensitivity and uncertainty analysis approach to understand how uncertainty in input emissions of SO₂, NO_x, and NH₃ drives uncertainties in model outputs, using the FRAME model as an example. We interpret results for input emissions uncertainty ranges reported by the national emissions inventory. Variance-based measures of sensitivity were used to apportion model output uncertainty.