Articles | Volume 15, issue 2
https://doi.org/10.5194/tc-15-743-2021
© Author(s) 2021. 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-15-743-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Feb 2021
Research article |
| 17 Feb 2021
| 17 Feb 2021
Multi-scale snowdrift-permitting modelling of mountain snowpack
Vincent Vionnet
CORRESPONDING AUTHOR
Centre for Hydrology, University of Saskatchewan, Saskatoon, Canada
Environmental Numerical Prediction Research, Environment and Climate Change Canada, Dorval, QC, Canada
Christopher B. Marsh
Centre for Hydrology, University of Saskatchewan, Saskatoon, Canada
Brian Menounos
Natural Resources and Environmental Studies Institute and Geography Program, University of Northern British Columbia, Prince George, V2N 4Z9, Canada
Simon Gascoin
Centre d'Études Spatiales de la Biosphère, UPS/CNRS/IRD/INRAE/CNES, Toulouse, France
Nicholas E. Wayand
Centre for Hydrology, University of Saskatchewan, Saskatoon, Canada
Joseph Shea
Natural Resources and Environmental Studies Institute and Geography Program, University of Northern British Columbia, Prince George, V2N 4Z9, Canada
Kriti Mukherjee
Natural Resources and Environmental Studies Institute and Geography Program, University of Northern British Columbia, Prince George, V2N 4Z9, Canada
John W. Pomeroy
Centre for Hydrology, University of Saskatchewan, Saskatoon, Canada
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- Spatial variability in winter mass balance on Storglaciären modelled with a terrain-based approach Y. Terleth et al. 10.1017/jog.2022.96
- Estimation of the Snow Water Equivalent Using Muon Scattering Radiography A. Orio‐Alonso et al. 10.1029/2023GL104128
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- Spatial distribution and controls of snowmelt runoff in a sublimation-dominated environment in the semiarid Andes of Chile Á. Ayala et al. 10.5194/hess-27-3463-2023
- A novel framework to investigate wind-driven snow redistribution over an Alpine glacier: combination of high-resolution terrestrial laser scans and large-eddy simulations A. Voordendag et al. 10.5194/tc-18-849-2024
- FROSTBYTE: a reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America L. Arnal et al. 10.5194/hess-28-4127-2024
- Snow depth in high-resolution regional climate model simulations over southern Germany – suitable for extremes and impact-related research? B. Poschlod & A. Daloz 10.5194/tc-18-1959-2024
- Predictions of Wind-Induced Snow Redistribution on Long-Span Building Roofs Using Two-Way Coupled Simulations Y. Peng et al. 10.1061/JCRGEI.CRENG-783
- In-situ Temperature Stations Elucidate Species’ Phenological Responses to Climate in the Alps, but Meteorological and Snow Reanalysis Facilitates Broad Scale and Long-Term Studies I. Laigle et al. 10.3389/feart.2022.912048
- Seasonal snow–atmosphere modeling: let's do it D. Reynolds et al. 10.5194/tc-18-4315-2024
- Cryosphere–groundwater connectivity is a missing link in the mountain water cycle M. van Tiel et al. 10.1038/s44221-024-00277-8
- Understanding wind-driven melt of patchy snow cover L. van der Valk et al. 10.5194/tc-16-4319-2022
- A Novel Approach Based on a Hierarchical Multiresolution Analysis of Optical Time Series to Reconstruct the Daily High-Resolution Snow Cover Area V. Premier et al. 10.1109/JSTARS.2021.3103585
- Intercomparison of Sentinel-2 and modelled snow cover maps in a high-elevation Alpine catchment F. Hofmeister et al. 10.1016/j.hydroa.2022.100123
- Evaluating a prediction system for snow management P. Ebner et al. 10.5194/tc-15-3949-2021
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- Snow Multidata Mapping and Modeling (S3M) 5.1: a distributed cryospheric model with dry and wet snow, data assimilation, glacier mass balance, and debris-driven melt F. Avanzi et al. 10.5194/gmd-15-4853-2022
- An image-to-image adversarial network to generate high resolution wind data over complex terrains from weather predictions J. Milla-Val et al. 10.1016/j.engappai.2024.109533
- Analyzing the sensitivity of a blowing snow model (SnowPappus) to precipitation forcing, blowing snow, and spatial resolution A. Haddjeri et al. 10.5194/tc-18-3081-2024
- Snow redistribution in an intermediate-complexity snow hydrology modelling framework L. Quéno et al. 10.5194/tc-18-3533-2024
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- Intermediate complexity atmospheric modeling in complex terrain: is it right? D. Reynolds et al. 10.3389/feart.2024.1388416
- Snow properties at the forest–tundra ecotone: predominance of water vapor fluxes even in deep, moderately cold snowpacks G. Lackner et al. 10.5194/tc-16-3357-2022
- Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model J. Aerts et al. 10.5194/hess-26-4407-2022
- The Multiple Snow Data Assimilation System (MuSA v1.0) E. Alonso-González et al. 10.5194/gmd-15-9127-2022
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- Subgridding high-resolution numerical weather forecast in the Canadian Selkirk mountain range for local snow modeling in a remote sensing perspective P. Billecocq et al. 10.5194/tc-18-2765-2024
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Latest update: 13 Dec 2024
Short summary
Mountain snow cover provides critical supplies of fresh water to downstream users. Its accurate prediction requires inclusion of often-ignored processes. A multi-scale modelling strategy is presented that efficiently accounts for snow redistribution. Model accuracy is assessed via airborne lidar and optical satellite imagery. With redistribution the model captures the elevation–snow depth relation. Redistribution processes are required to reproduce spatial variability, such as around ridges.
Mountain snow cover provides critical supplies of fresh water to downstream users. Its accurate...
