Articles | Volume 16, issue 9
https://doi.org/10.5194/tc-16-3843-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-3843-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Drone-based ground-penetrating radar (GPR) application to snow hydrology
Eole Valence
CORRESPONDING AUTHOR
Hydrology, Climate and Climate Change (HC) Laboratory, École de
Technologie Supérieure, Montreal, H3C 1K3, Canada
Geotop, Montreal, H2X 3Y7, Canada
Michel Baraer
Hydrology, Climate and Climate Change (HC) Laboratory, École de
Technologie Supérieure, Montreal, H3C 1K3, Canada
Geotop, Montreal, H2X 3Y7, Canada
Eric Rosa
Geotop, Montreal, H2X 3Y7, Canada
Groupe de recherche sur l'eau souterraine, Université du Québec en
Abitibi-Temiscamingue, Rouyn-Noranda, J9X 5E4, Canada
Florent Barbecot
Geotop, Montreal, H2X 3Y7, Canada
Département des sciences de la Terre et de l'atmosphère, Université du Québec à Montréal, Montreal, H2L 2C4, Canada
Chloe Monty
Hydrology, Climate and Climate Change (HC) Laboratory, École de
Technologie Supérieure, Montreal, H3C 1K3, Canada
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Discipline: Snow | Subject: Snow Hydrology
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Observations over several winters at two boreal sites in eastern Canada show that rain-on-snow (ROS) events lead to the formation of melt–freeze layers and that preferential flow is an important water transport mechanism in the sub-canopy snowpack. Simulations with SNOWPACK generally show good agreement with observations, except for the reproduction of melt–freeze layers. This was improved by simulating intercepted snow microstructure evolution, which also modulates ROS-induced runoff.
Bertrand Cluzet, Jan Magnusson, Louis Quéno, Giulia Mazzotti, Rebecca Mott, and Tobias Jonas
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We use novel wet snow maps from Sentinel-1 to evaluate simulations of a snow-hydrological model over Switzerland. These data are complementary to available in-situ snow depth observations as they capture a broad diversity of topographic conditions. Wet snow maps allow us to detect a delayed melt onset in the model, which we resolve thanks to an improved parametrization. This opens the way to further evaluation, calibration and data assimilation using wet snow maps.
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Short summary
The internal properties of the snow cover shape the annual hygrogram of northern and alpine regions. This study develops a multi-method approach to measure the evolution of snowpack internal properties. The snowpack hydrological property evolution was evaluated with drone-based ground-penetrating radar (GPR) measurements. In addition, the combination of GPR observations and time domain reflectometry measurements is shown to be able to be adapted to monitor the snowpack moisture over winter.
The internal properties of the snow cover shape the annual hygrogram of northern and alpine...