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Daily stream flow and groundwater dynamics in forested subalpine catchments during spring 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 of stream inflow pulses at daily scales, especially in low flow systems. Changes in the radiative balance at the top of the snowpack can alter the diurnal hydrologic dynamics of the hillslope-stream system with potential ecological and management consequences. We present a detailed hourly dataset of atmospheric, hillslope, and streamflow measurements collected during one melt season from a semi-alpine headwater catchment in western Montana, US. We use this dataset to investigate the timing, pattern, and linkages among snowmelt-dominated hydrologic processes and assess the role of the snowpack, transpiration, and hillslopes in mediating daily movements of water from the top of the snowpack to local stream systems. We found that the amount of snowpack cold content accumulated during the night, which must be overcome every morning before snowmelt resumes, delayed water recharge inputs by up to 3 hours early in the melt season. These delays were further exacerbated by multi-day storms (cold fronts), which resulted in significant depletions in the soil and stream storages. We also found that both diurnal snowmelt and transpiration signals are present in the diurnal soil and stream storage fluctuations, although the individual contributions of these processes is difficult to discern. Our analysis showed that the hydrologic response of the snow-hillslope-stream system is highly sensitive to atmospheric drivers at hourly scales, and that variations in atmospheric energy inputs or other stresses are quickly transmitted and alter the intensity, duration and timing of snowmelt pulses and soil water extractions by vegetation, which ultimately drive variations in soil and stream water pressures.
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Characterizing the role of snow for liquid water storage and transmission - Niwot Ridge TLS U-072 PS01 SV01
The goal of this project is to characterize and constrain the physical mechanisms that control snowmelt delivery to streams in headwater basins. This project leverages new observation and modeling techniques to quantify and simulate the snow distribution, water holding capacity, snowmelt production, and dynamic flowpaths. This is achieved through state-of-the-science observation techniques including ground penetrating radar (GPR), Terrestrial LiDAR Scanning (TLS), global positioning system (GPS) instrumentation, a network of sensor nodes continuously measuring soil moisture and snow depth, and a weir to monitor streamflow. Finally, hydrologic modeling will be conducted with the Structure for Unified Multiple Modeling Alternatives (SUMMA) model to assess the impact of modeling decisions and the ability to simulate snowmelt dynamics. The overarching research question of this project is: How do snowpack liquid water storage and through-snow hydrologic flowpaths affect hillslope-stream connectivity, and how do these processes evolve throughout the snowmelt season? This research question will be investigated in a snow-dominated headwater catchment. This work will observe and simulate the spatially and temporally variable snowmelt season to complete the following project objectives: O1) Map the dynamics of catchment snow water equivalent (SWE) using TLS surveys, GPR surveys, a network of sensor nodes, and manual observations. O2) Monitor the spatial and temporal progression of snowpack liquid water content and transport using combined TLS and GPR surveys, automated GPS signal attenuation, soil moisture sensors, and catchment streamflow response. O3) Evaluate the skill of hydrologic models to simulate the observed dynamics of the snowpack, soil, and streamflow response by systematically analyzing multiple model representations of hydrologic processes and scaling behavior. The work builds upon decades of local research in hydrology, biogeochemistry, and ecological processes.
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- PAR ID:
- 10345148
- Publisher / Repository:
- UNAVCO, Inc.
- Date Published:
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract. During spring, daily stream flow and groundwater dynamics in forested subalpine catchmentsare to a large extent controlled by hydrological processes thatrespond to the day–night energy cycle. Diurnal snowmelt and transpirationevents combine to induce pressure variations in the soil water storage thatare propagated to the stream. In headwater catchments these pressurevariations can account for a significant amount of the total pressure in thesystem and control the magnitude, duration, and timing of stream inflowpulses at daily scales, especially in low-flow systems. Changes in theradiative balance at the top of the snowpack can alter the diurnal hydrologicdynamics of the hillslope–stream system, with potential ecological andmanagement consequences. We present a detailed hourly dataset of atmospheric, hillslope, andstreamflow measurements collected during one melt season from a semi-alpineheadwater catchment in western Montana, US. We use this dataset toinvestigate the timing, pattern, and linkages among snowmelt-dominatedhydrologic processes and assess the role of the snowpack, transpiration, andhillslopes in mediating daily movements of water from the top of the snowpackto local stream systems. We found that the amount of snowpack cold contentaccumulated during the night, which must be overcome every morning beforesnowmelt resumes, delayed water recharge inputs by up to 3h early in themelt season. These delays were further exacerbated by multi-day storms (coldfronts), which resulted in significant depletions in the soil and streamstorages. We also found that both diurnal snowmelt and transpiration signalsare present in the diurnal soil and stream storage fluctuations, although theindividual contributions of these processes are difficult to discern. Ouranalysis showed that the hydrologic response of the snow–hillslope–streamsystem is highly sensitive to atmospheric drivers at hourly scales and thatvariations in atmospheric energy inputs or other stresses are quicklytransmitted and alter the intensity, duration, and timing of snowmelt pulsesand soil water extractions by vegetation, which ultimately drive variationsin soil and stream water pressures.more » « less
