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Seasonal snow cover is an important temporary waterstorage in high-elevation regions. Especially in remote areas, the availabledata are often insufficient to accurately quantify snowmelt contributions tostreamflow. The limited knowledge about the spatiotemporal variability ofthe snowmelt isotopic composition, as well as pronounced spatial variationin snowmelt rates, leads to high uncertainties in applying the isotope-basedhydrograph separation method. The stable isotopic signatures of snowmeltwater samples collected during two spring 2014 snowmelt events at a north-and a south-facing slope were volume weighted with snowmelt rates derivedfrom a distributed physics-based snow model in order to transfer themeasured plot-scale isotopic composition of snowmelt to the catchment scale.The observed <i>δ</i><sup>18</sup>O values and modeled snowmelt rates showeddistinct inter- and intra-event variations, as well as marked differencesbetween north- and south-facing slopes. Accounting for these differences,two-component isotopic hydrograph separation revealed snowmelt contributionsto streamflow of 35 ± 3  and 75 ± 14 % for the early andpeak melt season, respectively. These values differed from those determinedby formerly used weighting methods (e.g., using observed plot-scale meltrates) or considering either the north- or south-facing slope by up to 5 and15 %, respectively

The importance of snowmelt spatiotemporal variability for isotope-based hydrograph separation in a high-elevation catchment