Sensitivity and model reduction of simulated snow processes: Contrasting observational and parameter uncertainty to improve prediction

•Active subspaces can identify model parameters most important to SWE output.•Bare ground land cover is highly sensitive to model parameter changes.•ParFlow-CLM is most sensitive to changes in forcing parameters.•Evergreen needleleaf land cover is insensitive to changes in model snow parameters.