Articles | Volume 5, issue 4
https://doi.org/10.5194/tc-5-1115-2011
https://doi.org/10.5194/tc-5-1115-2011
Research article
 | 
14 Dec 2011
Research article |  | 14 Dec 2011

Forcing the snow-cover model SNOWPACK with forecasted weather data

S. Bellaire, J. B. Jamieson, and C. Fierz

Related subject area

Seasonal Snow
The benefits of homogenising snow depth series – Impacts on decadal trends and extremes for Switzerland
Moritz Buchmann, Gernot Resch, Michael Begert, Stefan Brönnimann, Barbara Chimani, Wolfgang Schöner, and Christoph Marty
The Cryosphere, 17, 653–671, https://doi.org/10.5194/tc-17-653-2023,https://doi.org/10.5194/tc-17-653-2023, 2023
Short summary
Assessing the seasonal evolution of snow depth spatial variability and scaling in complex mountain terrain
Zachary S. Miller, Erich H. Peitzsch, Eric A. Sproles, Karl W. Birkeland, and Ross T. Palomaki
The Cryosphere, 16, 4907–4930, https://doi.org/10.5194/tc-16-4907-2022,https://doi.org/10.5194/tc-16-4907-2022, 2022
Short summary
Impact of measured and simulated tundra snowpack properties on heat transfer
Victoria R. Dutch, Nick Rutter, Leanne Wake, Melody Sandells, Chris Derksen, Branden Walker, Gabriel Hould Gosselin, Oliver Sonnentag, Richard Essery, Richard Kelly, Phillip Marsh, Joshua King, and Julia Boike
The Cryosphere, 16, 4201–4222, https://doi.org/10.5194/tc-16-4201-2022,https://doi.org/10.5194/tc-16-4201-2022, 2022
Short summary
Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods
Moritz Buchmann, John Coll, Johannes Aschauer, Michael Begert, Stefan Brönnimann, Barbara Chimani, Gernot Resch, Wolfgang Schöner, and Christoph Marty
The Cryosphere, 16, 2147–2161, https://doi.org/10.5194/tc-16-2147-2022,https://doi.org/10.5194/tc-16-2147-2022, 2022
Short summary
Propagating information from snow observations with CrocO ensemble data assimilation system: a 10-years case study over a snow depth observation network
Bertrand Cluzet, Matthieu Lafaysse, César Deschamps-Berger, Matthieu Vernay, and Marie Dumont
The Cryosphere, 16, 1281–1298, https://doi.org/10.5194/tc-16-1281-2022,https://doi.org/10.5194/tc-16-1281-2022, 2022
Short summary

Cited articles

Brun, E., Martin, E., Simon, V., Gendre, C., and Coleou, C.: An energy and mass model of snowcover suitable for operational avalanche forecasting, J. Glaciol., 35, 333–342, 1989.
Brun, E., David, P., Sudul, M., and Brugnot, G.: A numerical model to simulate snowcover stratigraphy for operational avalanche forecasting, J. Glaciol., 38, 13–22, 1992.
Côté, J., Desmarais, J.-G., Gravel, S., Methot, A., Patoine, A., Roch, M., and Staniforth, A.: The operational CMC-MRB global environmental multiscale (GEM) model. Part II, Results, Mon. Weather Rev., 126, 1397–1418, 1998a.
Côté, J., Gravel, S., Methot, A., Patoine, A., Roch, M., and Staniforth, A.: The operational CMC-MRB global environmental multiscale (GEM) model. Part I: Design considerations and formulation, Mon. Weather Rev., 126, 1373–1395, 1998b.
Durand, Y., Giraud, G., Brun, E., Merindol, L., and Martin, E.: A computer-based system simulating snowpack structures as a tool for regional avalanche forecasting, J. Glaciol., 45, 469–484, 1999.
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.