Articles | Volume 25, issue 3
https://doi.org/10.5194/hess-25-1165-2021
© 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/hess-25-1165-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Mar 2021
Research article |
| 05 Mar 2021
| 05 Mar 2021
Snow water equivalents exclusively from snow depths and their temporal changes: the Δsnow model
Michael Winkler
CORRESPONDING AUTHOR
ZAMG – Zentralanstalt für Meteorologie und Geodynamik, Innsbruck,
Austria
Harald Schellander
CORRESPONDING AUTHOR
ZAMG – Zentralanstalt für Meteorologie und Geodynamik, Innsbruck,
Austria
Department of Atmospheric and Cryospheric Sciences, University of
Innsbruck, Austria
Stefanie Gruber
ZAMG – Zentralanstalt für Meteorologie und Geodynamik, Innsbruck,
Austria
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Cited
17 citations as recorded by crossref.
- Estimating and mapping snow hazard based on at-site analysis and regional approaches H. Mo et al. 10.1007/s11069-021-05144-3
- Surface heat fluxes at coarse blocky Murtèl rock glacier (Engadine, eastern Swiss Alps) D. Amschwand et al. 10.5194/tc-18-2103-2024
- Towards a reproducible snow load map – an example for Austria H. Schellander et al. 10.5194/asr-18-135-2021
- Combining Daily Sensor Observations and Spatial LiDAR Data for Mapping Snow Water Equivalent in a Sub‐Alpine Forest J. Geissler et al. 10.1029/2023WR034460
- Heterogeneous timing of freshwater input into Kobbefjord, a low‐arctic fjord in Greenland J. Abermann et al. 10.1002/hyp.14413
- Long-term trend of snow water equivalent in the Italian Alps N. Colombo et al. 10.1016/j.jhydrol.2022.128532
- An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0 J. Aschauer et al. 10.5194/gmd-16-4063-2023
- Unprecedented snow-drought conditions in the Italian Alps during the early 2020s N. Colombo et al. 10.1088/1748-9326/acdb88
- Snow depth estimation at country-scale with high spatial and temporal resolution R. Daudt et al. 10.1016/j.isprsjprs.2023.01.017
- NH-SWE: Northern Hemisphere Snow Water Equivalent dataset based on in situ snow depth time series A. Fontrodona-Bach et al. 10.5194/essd-15-2577-2023
- GNSS signal-based snow water equivalent determination for different snowpack conditions along a steep elevation gradient A. Capelli et al. 10.5194/tc-16-505-2022
- Modeling Snow Depth and Snow Water Equivalent Distribution and Variation Characteristics in the Irtysh River Basin, China L. Gao et al. 10.3390/app11188365
- Extreme Ground Snow Loads in Europe from 1951 to 2100 P. Croce et al. 10.3390/cli9090133
- Fingerprints of Frontal Passages and Post‐Depositional Effects in the Stable Water Isotope Signal of Seasonal Alpine Snow F. Aemisegger et al. 10.1029/2022JD037469
- Snowpack relative permittivity and density derived from near‐coincident lidar and ground‐penetrating radar R. Bonnell et al. 10.1002/hyp.14996
- Multi-decadal observations in the Alps reveal less and wetter snow, with increasing variability C. Marty et al. 10.3389/feart.2023.1165861
- Snow water equivalent in the Western Sudetes and its changes in the light of a changing climate G. Urban 10.1016/j.ejrh.2024.101881
17 citations as recorded by crossref.
- Estimating and mapping snow hazard based on at-site analysis and regional approaches H. Mo et al. 10.1007/s11069-021-05144-3
- Surface heat fluxes at coarse blocky Murtèl rock glacier (Engadine, eastern Swiss Alps) D. Amschwand et al. 10.5194/tc-18-2103-2024
- Towards a reproducible snow load map – an example for Austria H. Schellander et al. 10.5194/asr-18-135-2021
- Combining Daily Sensor Observations and Spatial LiDAR Data for Mapping Snow Water Equivalent in a Sub‐Alpine Forest J. Geissler et al. 10.1029/2023WR034460
- Heterogeneous timing of freshwater input into Kobbefjord, a low‐arctic fjord in Greenland J. Abermann et al. 10.1002/hyp.14413
- Long-term trend of snow water equivalent in the Italian Alps N. Colombo et al. 10.1016/j.jhydrol.2022.128532
- An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0 J. Aschauer et al. 10.5194/gmd-16-4063-2023
- Unprecedented snow-drought conditions in the Italian Alps during the early 2020s N. Colombo et al. 10.1088/1748-9326/acdb88
- Snow depth estimation at country-scale with high spatial and temporal resolution R. Daudt et al. 10.1016/j.isprsjprs.2023.01.017
- NH-SWE: Northern Hemisphere Snow Water Equivalent dataset based on in situ snow depth time series A. Fontrodona-Bach et al. 10.5194/essd-15-2577-2023
- GNSS signal-based snow water equivalent determination for different snowpack conditions along a steep elevation gradient A. Capelli et al. 10.5194/tc-16-505-2022
- Modeling Snow Depth and Snow Water Equivalent Distribution and Variation Characteristics in the Irtysh River Basin, China L. Gao et al. 10.3390/app11188365
- Extreme Ground Snow Loads in Europe from 1951 to 2100 P. Croce et al. 10.3390/cli9090133
- Fingerprints of Frontal Passages and Post‐Depositional Effects in the Stable Water Isotope Signal of Seasonal Alpine Snow F. Aemisegger et al. 10.1029/2022JD037469
- Snowpack relative permittivity and density derived from near‐coincident lidar and ground‐penetrating radar R. Bonnell et al. 10.1002/hyp.14996
- Multi-decadal observations in the Alps reveal less and wetter snow, with increasing variability C. Marty et al. 10.3389/feart.2023.1165861
- Snow water equivalent in the Western Sudetes and its changes in the light of a changing climate G. Urban 10.1016/j.ejrh.2024.101881
Latest update: 23 Nov 2024
Short summary
A new method to calculate the mass of snow is provided. It is quite simple but gives surprisingly good results. The new approach only requires regular snow depth observations to simulate respective water mass that is stored in the snow. It is called
ΔSNOW model, its code is freely available, and it can be applied in various climates. The method is especially interesting for studies on extremes (e.g., snow loads or flooding) and climate (e.g., precipitation trends).
A new method to calculate the mass of snow is provided. It is quite simple but gives...
