Articles | Volume 15, issue 3
https://doi.org/10.5194/tc-15-1423-2021
https://doi.org/10.5194/tc-15-1423-2021
Research article
 | 
19 Mar 2021
Research article |  | 19 Mar 2021

Two-dimensional liquid water flow through snow at the plot scale in continental snowpacks: simulations and field data comparisons

Ryan W. Webb, Keith Jennings, Stefan Finsterle, and Steven R. Fassnacht

Related authors

Aspect Controls on the Spatial Re-Distribution of Snow Water Equivalence in a Subalpine Catchment
Kori L. Mooney and Ryan W. Webb
EGUsphere, https://doi.org/10.5194/egusphere-2024-2364,https://doi.org/10.5194/egusphere-2024-2364, 2024
Short summary
Spatially distributed snow depth, bulk density, and snow water equivalent from ground-based and airborne sensor integration at Grand Mesa, Colorado, USA
Tate G. Meehan, Ahmad Hojatimalekshah, Hans-Peter Marshall, Elias J. Deeb, Shad O'Neel, Daniel McGrath, Ryan W. Webb, Randall Bonnell, Mark S. Raleigh, Christopher Hiemstra, and Kelly Elder
The Cryosphere, 18, 3253–3276, https://doi.org/10.5194/tc-18-3253-2024,https://doi.org/10.5194/tc-18-3253-2024, 2024
Short summary
Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR)
Jack Tarricone, Ryan W. Webb, Hans-Peter Marshall, Anne W. Nolin, and Franz J. Meyer
The Cryosphere, 17, 1997–2019, https://doi.org/10.5194/tc-17-1997-2023,https://doi.org/10.5194/tc-17-1997-2023, 2023
Short summary
Hydrologic flow path development varies by aspect during spring snowmelt in complex subalpine terrain
Ryan W. Webb, Steven R. Fassnacht, and Michael N. Gooseff
The Cryosphere, 12, 287–300, https://doi.org/10.5194/tc-12-287-2018,https://doi.org/10.5194/tc-12-287-2018, 2018
Short summary

Related subject area

Discipline: Snow | Subject: Snow Hydrology
Impact of intercepted and sub-canopy snow microstructure on snowpack response to rain-on-snow events under a boreal canopy
Benjamin Bouchard, Daniel F. Nadeau, Florent Domine, Nander Wever, Adrien Michel, Michael Lehning, and Pierre-Erik Isabelle
The Cryosphere, 18, 2783–2807, https://doi.org/10.5194/tc-18-2783-2024,https://doi.org/10.5194/tc-18-2783-2024, 2024
Short summary
Using Sentinel-1 wet snow maps to inform fully-distributed physically-based snowpack models
Bertrand Cluzet, Jan Magnusson, Louis Quéno, Giulia Mazzotti, Rebecca Mott, and Tobias Jonas
EGUsphere, https://doi.org/10.5194/egusphere-2024-209,https://doi.org/10.5194/egusphere-2024-209, 2024
Short summary
Towards large-scale daily snow density mapping with spatiotemporally aware model and multi-source data
Huadong Wang, Xueliang Zhang, Pengfeng Xiao, Tao Che, Zhaojun Zheng, Liyun Dai, and Wenbo Luan
The Cryosphere, 17, 33–50, https://doi.org/10.5194/tc-17-33-2023,https://doi.org/10.5194/tc-17-33-2023, 2023
Short summary
Drone-based ground-penetrating radar (GPR) application to snow hydrology
Eole Valence, Michel Baraer, Eric Rosa, Florent Barbecot, and Chloe Monty
The Cryosphere, 16, 3843–3860, https://doi.org/10.5194/tc-16-3843-2022,https://doi.org/10.5194/tc-16-3843-2022, 2022
Short summary
Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events
Michael Schirmer, Adam Winstral, Tobias Jonas, Paolo Burlando, and Nadav Peleg
The Cryosphere, 16, 3469–3488, https://doi.org/10.5194/tc-16-3469-2022,https://doi.org/10.5194/tc-16-3469-2022, 2022
Short summary

Cited articles

Avanzi, F., Petrucci, G., Matzl, M., Schneebeli, M., and De Michele, C.: Early formation of preferential flow in a homogeneous snowpack observed by micro-CT, Water Resour. Res., 53, 3713–3729, https://doi.org/10.1002/2016WR019502, 2017. 
Bartelt, P. and Lehning, M.: A physical SNOWPACK model for the Swiss avalanche warning Part I: numerical model, Cold Reg. Sci. Technol., 35, 123–145, https://doi.org/10.1016/S0165-232X(02)00074-5, 2002. 
Bradford, J., Harper, J., and Brown, J.: Complex dielectric permittivity measurements from ground-penetrating radar data to estimate snow liquid water content in the pendular regime, Water Resour. Res., 45, W08403, https://doi.org/10.1029/2008WR007341, 2009. 
Brauchli, T., Trujillo, E., Huwald, H., and Lehning, M.: Influence of Slope-Scale Snowmelt on Catchment Response Simulated With the Alpine3D Model, Water Resour. Res., 53, 10723–10739, https://doi.org/10.1002/2017WR021278, 2017. 
Calonne, N., Geindreau, C., Flin, F., Morin, S., Lesaffre, B., Rolland du Roscoat, S., and Charrier, P.: 3-D image-based numerical computations of snow permeability: links to specific surface area, density, and microstructural anisotropy, The Cryosphere, 6, 939–951, https://doi.org/10.5194/tc-6-939-2012, 2012. 
Download
Short summary
We simulate the flow of liquid water through snow and compare results to field experiments. This process is important because it controls how much and how quickly water will reach our streams and rivers in snowy regions. We found that water can flow large distances downslope through the snow even after the snow has stopped melting. Improved modeling of snowmelt processes will allow us to more accurately estimate available water resources, especially under changing climate conditions.