2018
DOI: 10.5194/hess-22-4295-2018
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The influence of diurnal snowmelt and transpiration on hillslope throughflow and stream response

Abstract: Abstract. During spring, daily stream flow and groundwater dynamics in forested subalpine catchments are to a large extent controlled by hydrological processes that respond to the day–night energy cycle. Diurnal snowmelt and transpiration events combine to induce pressure variations in the soil water storage that are propagated to the stream. In headwater catchments these pressure variations can account for a significant amount of the total pressure in the system and control the magnitude, duration, and timing… Show more

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Cited by 27 publications
(32 citation statements)
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“…In mountain regions, streamflow and shallow groundwater levels often exhibit 24-hour cycles driven by either snow/ice melt 60 or evapotranspiration. Both snowmelt and evapotranspiration cycles result from daily variations in solar flux, but are of opposite phase (Lundquist and Cayan, 2002;Mutzner et al, 2015;Woelber et al, 2018), because melt processes contribute water to the shallow subsurface during daytime, while evapotranspiration removes it during daytime. These daily cycles have been used to investigate streamflow generation and runoff routing (Wondzell et al, 2007;Barnard et al, 2010;Woelber https://doi.org/10.5194/hess-2020-77 Preprint.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In mountain regions, streamflow and shallow groundwater levels often exhibit 24-hour cycles driven by either snow/ice melt 60 or evapotranspiration. Both snowmelt and evapotranspiration cycles result from daily variations in solar flux, but are of opposite phase (Lundquist and Cayan, 2002;Mutzner et al, 2015;Woelber et al, 2018), because melt processes contribute water to the shallow subsurface during daytime, while evapotranspiration removes it during daytime. These daily cycles have been used to investigate streamflow generation and runoff routing (Wondzell et al, 2007;Barnard et al, 2010;Woelber https://doi.org/10.5194/hess-2020-77 Preprint.…”
Section: Introductionmentioning
confidence: 99%
“…Few 125 studies have examined interactions between snowmelt and ET cycles, though exceptions include Lundquist and Cayan (2002), Mutzner et al (2015) and Woelber et al (2018). Likewise, few studies have linked daily cycles in groundwaters and streams, although exceptions include observations by Troxell (1936), Klinker and Hansen (Klinker and Hansen, 1964), Wondzell et al (2010), and Woelber et al (2018), and models by Czikowsky and Fitzjarrald (2004), Grobovszki et al (2008), Szilagyi et al (2008) and Loheide and Lundquist (2009). And due to the scarcity of simultaneous spatially 130 https://doi.org/10.5194/hess-2020-77 Preprint.…”
mentioning
confidence: 99%
“…Both snowmelt and evapotranspiration cycles result from daily variations in solar flux but are of opposite phase (Lundquist and Cayan, 2002;Mutzner et al, 2015;Woelber et al, 2018), because melt processes contribute water to the shallow subsurface during daytime, while evapotranspiration removes it during daytime. These daily cycles have been used to investigate streamflow generation and runoff routing (Wondzell et al, 2007;Barnard et al, 2010;Woelber et al, 2018), to infer dominant processes affecting catchment water balances (Lundquist and Cayan, 2002;Czikowsky and Fitzjarrald, 2004), and to estimate temporal patterns of landscape-scale evapotranspiration (ET) and precipitation rates (Bond et al, 2002;Kirchner, 2009;Cadol et al, 2012). The analysis of daily cycles may thus be a useful diagnostic tool in catchment hydrology, helping to characterize ecohydrological processes at the catchment scale Gribovszki et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…The times of daily streamflow maxima and minima, as well as their lags relative to the daily peaks of snowmelt or ET rates, have also been widely interpreted as reflecting travel times and flow velocities through snowpacks, hillslopes, and river networks (e.g., Wicht, 1941;Jordan, 1983;Bond et al, 2002;Wondzell et al, 2007;Barnard et al, 2010;Graham et al, 2013;Fonley et al, 2016). These applications, like the missing streamflow method, invoke assumptions that are incompatible with those that underlie WTF approaches.…”
Section: Introductionmentioning
confidence: 99%
“…Specifically, the reconstruction of the phase space of a hydrologic system enables visualization of system attractors and state trajectories that offer qualitative insight into the stability, complexity, and nonlinearity of the system. Data-driven approximations of phase space and attractors of hydrologic systems based on streamflow time-series analysis have been extensively explored by Porporato and Ridolfi (2003); Sivakumar, Jayawardena, and Li (2007); Sivakumar and Singh (2012);and Woelber et al (2018), among many others. However, reconstructions of the phase space using modeled storage are less common (Duffy, 1996;Brandes, Duffy, & Cusumano, 1998; and more recently Beven & Davies, 2015).…”
Section: Introductionmentioning
confidence: 99%