The effect of different soil databases on parameter and prediction uncertainty quantification for hydrological modelling

Abstract Hydrologic models often exhibit inaccuracies in representing key hydrological fluxes due to uncertainties arising from the necessary simplification of complex processes and input data. Soil databases, commonly used in hydrological models, vary in format, resolution, and parameter range, leading to diverse approaches for generating soil inputs in process-based models. This study employs both linear (FOSM) and non-linear (iES) methods to quantify parameter and prediction uncertainty. A co