Monitoring snowpack outflow volumes and their isotopic composition to better understand streamflow generation during rain-on-snow events
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Published:2019-07-15
Issue:7
Volume:23
Page:2983-3005
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ISSN:1607-7938
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Container-title:Hydrology and Earth System Sciences
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language:en
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Short-container-title:Hydrol. Earth Syst. Sci.
Author:
Rücker Andrea, Boss Stefan, Kirchner James W.ORCID, von Freyberg JanaORCID
Abstract
Abstract. Rain-on-snow (ROS) events in mountainous catchments can
cause enhanced snowmelt, leading to an increased risk of destructive winter floods. However, due
to differences in topography and forest cover, the generation of snowpack
outflow volumes and their contribution to streamflow are spatially and
temporally variable during ROS events. In order to adequately predict such
flood events with hydrological models, an enhanced process understanding of
the contribution of rainwater and snowmelt to stream water is needed. In this study, we monitored and sampled snowpack outflow with
fully automated snowmelt lysimeter systems installed at three different
elevations in a pre-Alpine catchment in central Switzerland. We measured
snowpack outflow volumes during the winters of 2017 and 2018, as well as
snowpack outflow isotopic compositions in winter 2017. Snowpack outflow
volumes were highly variable in time and space, reflecting differences in
snow accumulation and melt. In winter 2017, around 815 mm of snowpack
outflow occurred at our reference site (grassland 1220 m a.s.l. – metres above sea level), whereas snowpack outflow was 16 % less at the nearby forest site
(1185 m a.s.l.), and 62 % greater at another grassland site located
200 m higher (1420 m a.s.l.). A detailed analysis of 10 ROS events showed
that the differences in snowpack outflow volumes could be explained mainly
by rainfall volumes and initial snow depths. The isotope signals of snowpack outflow were more damped than those of
incoming rainwater at all three sites, with the most damped signal at the
highest elevation site because its snowpack was the thickest and the
residence times of liquid water in its snowpack were the longest, thus
enhancing isotopic mixing in the snowpack. The contribution of snowpack
outflow to streamflow, estimated with an isotope-based two-component
end-member mixing model, differed substantially among the three lysimeter
sites (i.e. between 7±4 and 91±21 %). Because the
vegetation in our study catchment is a mixture of grassland and forest, with
elevations ranging from 1000 to 1500 m a.s.l., our site-specific hydrograph
separation estimates can only provide a range of snowpack outflow
contributions to discharge from different parts of the study area. Thus, the
catchment-average contribution of snowpack outflow to stream discharge is
likely to lie between the end-member mixing estimates derived from the three
site-specific data sets. This information may be useful for improving
hydrological models in snow-dominated catchments.
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
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