Unraveling the time-dependent relevance of input model uncertainties for a lumped hydrologic model of a pre-alpine karst system

Abstract Uncertainties in hydrologic model outputs can arise for many reasons such as structural, parametric and input uncertainty. Identification of the sources uncertainties quantification their impacts on results are important to appropriately reproduce hydrodynamic processes karst aquifers support decision-making. The present study investigates time-dependent relevance uncertainties, defined conceptual affecting representation parameterization relevant groundwater recharge, i.e. interception, evapotranspiration snow dynamic, lumped LuKARS. A total nine different models applied, three compute interception (DVWK, Gash Liu), (Thornthwaite, Hamon Oudin) (Martinec, Girons Lopez Magnusson). All combinations tested case Kerschbaum spring Austria. parameters kept constant all combinations. While computed same previous studies do not show pronounced temporal variations, work that seasonally varying. Moreover, snowmelt higher than uncertainties. importance a specific process recharge be estimated from respective These findings have practical implications they guide researchers obtain field data improve parameter calibration.