Articles | Volume 24, issue 1
https://doi.org/10.5194/hess-24-143-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-143-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Jan 2020
Research article |
| 13 Jan 2020
| 13 Jan 2020
Processes governing snow ablation in alpine terrain – detailed measurements from the Canadian Rockies
Centre for Hydrology, University of Saskatchewan, Saskatchewan, Canada
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
John W. Pomeroy
Centre for Hydrology, University of Saskatchewan, Saskatchewan, Canada
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Cited
16 citations as recorded by crossref.
- Meteorological observations collected during the Storms and Precipitation Across the continental Divide Experiment (SPADE), April–June 2019 J. Thériault et al. 10.5194/essd-13-1233-2021
- Summary and synthesis of Changing Cold Regions Network (CCRN) research in the interior of western Canada – Part 2: Future change in cryosphere, vegetation, and hydrology C. DeBeer et al. 10.5194/hess-25-1849-2021
- Improving sub-canopy snow depth mapping with unmanned aerial vehicles: lidar versus structure-from-motion techniques P. Harder et al. 10.5194/tc-14-1919-2020
- Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 2: Snow processes and snow–canopy interactions L. Meriö et al. 10.5194/tc-17-4363-2023
- Mapping snow depth and volume at the alpine watershed scale from aerial imagery using Structure from Motion J. Meyer et al. 10.3389/feart.2022.989792
- Multi-scale snowdrift-permitting modelling of mountain snowpack V. Vionnet et al. 10.5194/tc-15-743-2021
- Operational snow-hydrological modeling for Switzerland R. Mott et al. 10.3389/feart.2023.1228158
- Snowmelt progression drives habitat selection and vegetation disturbance by an Arctic avian herbivore I. Eischeid et al. 10.1002/ecs2.4729
- Maximum entropy modeling to identify physical drivers of shallow snowpack heterogeneity using unpiloted aerial system (UAS) lidar E. Cho et al. 10.1016/j.jhydrol.2021.126722
- Canopy structure, topography, and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests G. Mazzotti et al. 10.5194/hess-27-2099-2023
- Exploring snow distribution dynamics in steep forested slopes with UAV-borne LiDAR K. Koutantou et al. 10.1016/j.coldregions.2022.103587
- Simulation of the impact of future changes in climate on the hydrology of Bow River headwater basins in the Canadian Rockies X. Fang & J. Pomeroy 10.1016/j.jhydrol.2023.129566
- Mass-balance and ablation processes of a perennial polar ice patch on the northern coast of Ellesmere Island G. Davesne et al. 10.1017/jog.2023.44
- Applications of Unmanned Aerial Vehicles in Cryosphere: Latest Advances and Prospects C. Gaffey & A. Bhardwaj 10.3390/rs12060948
- Large-area high spatial resolution albedo retrievals from remote sensing for use in assessing the impact of wildfire soot deposition on high mountain snow and ice melt A. Bertoncini et al. 10.1016/j.rse.2022.113101
- Monitoring snow depth change across a range of landscapes with ephemeral snowpacks using structure from motion applied to lightweight unmanned aerial vehicle videos R. Fernandes et al. 10.5194/tc-12-3535-2018
15 citations as recorded by crossref.
- Meteorological observations collected during the Storms and Precipitation Across the continental Divide Experiment (SPADE), April–June 2019 J. Thériault et al. 10.5194/essd-13-1233-2021
- Summary and synthesis of Changing Cold Regions Network (CCRN) research in the interior of western Canada – Part 2: Future change in cryosphere, vegetation, and hydrology C. DeBeer et al. 10.5194/hess-25-1849-2021
- Improving sub-canopy snow depth mapping with unmanned aerial vehicles: lidar versus structure-from-motion techniques P. Harder et al. 10.5194/tc-14-1919-2020
- Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 2: Snow processes and snow–canopy interactions L. Meriö et al. 10.5194/tc-17-4363-2023
- Mapping snow depth and volume at the alpine watershed scale from aerial imagery using Structure from Motion J. Meyer et al. 10.3389/feart.2022.989792
- Multi-scale snowdrift-permitting modelling of mountain snowpack V. Vionnet et al. 10.5194/tc-15-743-2021
- Operational snow-hydrological modeling for Switzerland R. Mott et al. 10.3389/feart.2023.1228158
- Snowmelt progression drives habitat selection and vegetation disturbance by an Arctic avian herbivore I. Eischeid et al. 10.1002/ecs2.4729
- Maximum entropy modeling to identify physical drivers of shallow snowpack heterogeneity using unpiloted aerial system (UAS) lidar E. Cho et al. 10.1016/j.jhydrol.2021.126722
- Canopy structure, topography, and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests G. Mazzotti et al. 10.5194/hess-27-2099-2023
- Exploring snow distribution dynamics in steep forested slopes with UAV-borne LiDAR K. Koutantou et al. 10.1016/j.coldregions.2022.103587
- Simulation of the impact of future changes in climate on the hydrology of Bow River headwater basins in the Canadian Rockies X. Fang & J. Pomeroy 10.1016/j.jhydrol.2023.129566
- Mass-balance and ablation processes of a perennial polar ice patch on the northern coast of Ellesmere Island G. Davesne et al. 10.1017/jog.2023.44
- Applications of Unmanned Aerial Vehicles in Cryosphere: Latest Advances and Prospects C. Gaffey & A. Bhardwaj 10.3390/rs12060948
- Large-area high spatial resolution albedo retrievals from remote sensing for use in assessing the impact of wildfire soot deposition on high mountain snow and ice melt A. Bertoncini et al. 10.1016/j.rse.2022.113101
Latest update: 11 May 2025
Short summary
The spatial distribution of snow water equivalent (SWE) and melt are important for hydrological applications in alpine terrain. We measured the spatial distribution of melt using a drone in very high resolution and could relate melt to topographic characteristics. Interestingly, melt and SWE were not related spatially, which influences the speed of areal melt out. We could explain this by melt varying over larger distances than SWE.
The spatial distribution of snow water equivalent (SWE) and melt are important for hydrological...
