Hydrol. Earth Syst. Sci. Discuss., doi:10.5194/hess-2016-128, 2016 Manuscript under review for journal Hydrol. Earth Syst. Sci. Published: 11 May 2016 c Author(s) 2016. CC-BY 3.0 License. 1 The importance of spatio-temporal snowmelt variability for 2 isotopic hydrograph separation in a high-elevation catchment 3 Jan Schmieder1, Florian Hanzer1, Thomas Marke1, Jakob Garvelmann2, Michael Warscher2, 4 Harald Kunstmann2 and Ulrich Strasser1 5 1Institute of Geography, University of Innsbruck, Innsbruck, 6020, Austria 6 2Institute of Meteorology and Climate Research - Atmospheric Environmental Research, Karlsruhe Institute of 7 Technology, Garmisch-Partenkirchen, 82467, Germany 8 Correspondence to: Jan Schmieder (
[email protected]) 9 Abstract. Seasonal snow cover is an important temporary water storage in high-elevation regions. Especially in 10 remote areas, the available data is often insufficient to explicitly quantify snowmelt contributions to streamflow. 11 The unknown spatio-temporal variability of the snowmelt isotopic content, as well as pronounced spatial 12 variations of snowmelt rates lead to high uncertainties in applying the isotopic hydrograph separation method. 13 This study presents an approach that uses a distributed snowmelt model to support the traditional isotopic 14 hydrograph separation technique. The stable isotopic signatures of snowmelt water samples collected during two 15 spring 2014 snowmelt events at a north- and a south-facing slope were volume-weighted with snowmelt rates 16 derived from a distributed physics-based snow model in order to transfer the measured plot-scale isotopic 17 content of snowmelt water to the catchment scale. The observed δ18O values and modelled snowmelt rates 18 showed distinct inter- and intra-event variations, as well as marked differences between north- and south-facing 19 slopes.